{"component": "definition", "props": {"groups": [{"size": 7, "snippet": "means a number that describes the likelihood that an injury, illness, or disease will occur ranging from 1 (lowest) to 3 (highest).", "samples": [{"hash": "7ucM1ZIvDVA", "uri": "https://lawfilesext.leg.wa.gov/law/wsrpdf/2024/18/24-18-095.pdf", "label": "lawfilesext.leg.wa.gov", "score": 19.4313238644, "published": false}, {"hash": "jvmp2TE3lQY", "uri": "https://lawfilesext.leg.wa.gov/law/wsr/2024/18/24-18PROP.pdf", "label": "lawfilesext.leg.wa.gov", "score": 19.3854654679, "published": false}, {"hash": "9GHjvZmSIQe", "uri": "https://lni.wa.gov/rulemaking-activity/AO24-06/2406Proposal.pdf", "label": "lni.wa.gov", "score": 17.3829777208, "published": false}], "snippet_links": [{"key": "a-number", "type": "definition", "offset": [6, 14]}], "hash": "b6bcb2905374230cbf73e5b9bd22fe8a", "id": 1}, {"size": 6, "snippet": "[0.5], \"id\": 3 }, {", "samples": [{"hash": "emXoL6h1Lym", "uri": "/contracts/emXoL6h1Lym#probability", "label": "Grant Agreement", "score": 32.8018330068, "published": true}], "snippet_links": [], "hash": "f73b95ff174281b54c8e794daa64f141", "id": 2}, {"size": 2, "snippet": "would speak to \u201ca relative frequency, propensity, logical probability, or a belief state under highly specified conditions\u201d and is an extrapolation of a data set expressed numerically as a number between 0.0 to 1.0.47 Thus, a probability assessment could set a threshold for the drawing of an inference \u2013 say a probability of 0.5 or higher that the asserted event took place. The problem of such an approach to inferences becomes readily visible in the context of our example. We might assign a probability of", "samples": [{"hash": "dxQ0ehVaSMZ", "uri": "/contracts/dxQ0ehVaSMZ#probability", "label": "Not Applicable", "score": 28.0743949936, "published": true}, {"hash": "aOp2vEib7j8", "uri": "/contracts/aOp2vEib7j8#probability", "label": "Not Applicable", "score": 28.0019736449, "published": true}], "snippet_links": [{"key": "specified-conditions", "type": "clause", "offset": [102, 122]}, {"key": "data-set", "type": "definition", "offset": [153, 161]}, {"key": "a-number", "type": "definition", "offset": [187, 195]}, {"key": "the-problem", "type": "clause", "offset": [376, 387]}, {"key": "readily-visible", "type": "definition", "offset": [430, 445]}, {"key": "the-context", "type": "clause", "offset": [449, 460]}], "hash": "0a82aeea3a5eea467de392bdb4e37901", "id": 3}, {"size": 2, "snippet": "for a NN, means softmax", "samples": [{"hash": "ekIkryjlXtr", "uri": "https://courses.grainger.illinois.edu/ece448/sp2024/slides/lec28.pdf", "label": "courses.grainger.illinois.edu", "score": 10.1252566735, "published": false}, {"hash": "7xXzLEJUM9I", "uri": "https://courses.grainger.illinois.edu/ece448/sp2023/slides/lec23.pdf", "label": "courses.grainger.illinois.edu", "score": 9.6173853525, "published": false}], "snippet_links": [], "hash": "5687cbf4632923b5f82a53f2656ca5f4", "id": 4}, {"size": 1, "snippet": "means quite different things in these cases.", "samples": [{"hash": "kcipIhnD08a", "uri": "https://www.stat.berkeley.edu/~stark/Seminars/swg12.pdf", "label": "www.stat.berkeley.edu", "score": 4.4318959617, "published": false}], "snippet_links": [], "hash": "edf5578e4d270f783ab138b358937611", "id": 5}, {"size": 1, "snippet": "[0.5], \"id\": 6 } ] links: [ {", "samples": [{"hash": "emXoL6h1Lym", "uri": "/contracts/emXoL6h1Lym#probability", "label": "Grant Agreement", "score": 32.8018330068, "published": true}], "snippet_links": [], "hash": "0ee6b490a400cb02dc487d85ab9754b8", "id": 6}, {"size": 1, "snippet": "estimation of the likelihood of the risk becoming a real problem (low, medium, high).", "samples": [{"hash": "9dE9QquskZk", "uri": "/contracts/9dE9QquskZk#probability", "label": "Quality Assurance Plan", "score": 25.8254620123, "published": true}], "snippet_links": [{"key": "the-risk", "type": "definition", "offset": [32, 40]}], "hash": "795fdcf8ab5d6ad1347fa93c291dcbed", "id": 7}, {"size": 1, "snippet": "[0.5], \"id\": 4 } ] Figure 20 JSON with the returned probabilistic graph object containing nodes (simplified) links: [ {", "samples": [{"hash": "emXoL6h1Lym", "uri": "/contracts/emXoL6h1Lym#probability", "label": "Grant Agreement", "score": 32.8018330068, "published": true}], "snippet_links": [{"key": "figure-20", "type": "definition", "offset": [19, 28]}], "hash": "48ea34493507419dfc184083381fc766", "id": 8}, {"size": 1, "snippet": "[0.0], \"source\": 1, \"target\": 2 }, {", "samples": [{"hash": "emXoL6h1Lym", "uri": "/contracts/emXoL6h1Lym#probability", "label": "Grant Agreement", "score": 32.8018330068, "published": true}], "snippet_links": [], "hash": "d6485dccc4c8e6436518b8b9451320c3", "id": 9}, {"size": 1, "snippet": "The probability (i.e., likelihood) the observation will negatively impact the project using a low (1), medium (2), and high (3) scale. \u2b9a Overall Risk Ranking: TeamCSG\u2120 Risk Tracking and Reporting automatically calculates the overall risk ranking based on the probability and impact rating on a scale of one to nine, with nine being the most severe. The figure on the right provides our Overall Risk Ranking Matrix and definitions for ranking observation risk. Based on the assigned probability and impact, the Overall Risk Ranking Matrix enables the categorization and ranking of individual observations according to potential overall risk to the project. We work with specific project PMOs to integrate all documented observations, risk levels, and recommendations and for addressing them into the project\u2019s risk or issue registers, as appropriate.", "samples": [{"hash": "amxaJG7G4JQ", "uri": "/contracts/amxaJG7G4JQ#probability", "label": "Information Technology Independent Verification and Validation Services", "score": 27.0629705681, "published": true}], "snippet_links": [{"key": "the-project", "type": "definition", "offset": [74, 85]}, {"key": "tracking-and-reporting", "type": "clause", "offset": [173, 195]}, {"key": "based-on", "type": "clause", "offset": [246, 254]}, {"key": "a-scale", "type": "definition", "offset": [292, 299]}, {"key": "the-right", "type": "clause", "offset": [363, 372]}, {"key": "definitions-for", "type": "clause", "offset": [418, 433]}, {"key": "according-to", "type": "definition", "offset": [604, 616]}, {"key": "specific-project", "type": "definition", "offset": [669, 685]}, {"key": "risk-levels", "type": "definition", "offset": [733, 744]}], "hash": "5ed26f4c00e1fc99c4edb09dec0c8340", "id": 10}], "next_curs": "ClgSUmoVc35sYXdpbnNpZGVyY29udHJhY3RzcjQLEhpEZWZpbml0aW9uU25pcHBldEdyb3VwX3Y1NiIUcHJvYmFiaWxpdHkjMDAwMDAwMGEMogECZW4YACAA", "definition": {"size": 17, "snippet": "means a number that describes the likelihood that an injury, illness, or disease will occur ranging from 1 (lowest) to 3 (highest).", "title": "Probability", "id": "probability", "examples": ["Include, at a minimum, the \u201cdesign\u201d frequency to be specified in the Work Authorization and the 1% Annual Exceedance <strong>Probability</strong> (AEP) storm frequency.", "With respect to a Collateral Obligation whose \u2587\u2587\u2587\u2587\u2587\u2019\u2587 Rating or \u2587\u2587\u2587\u2587\u2587\u2019\u2587 Default <strong>Probability</strong> Rating cannot otherwise be determined pursuant to the definitions thereof, such \u2587\u2587\u2587\u2587\u2587\u2019\u2587 Rating or \u2587\u2587\u2587\u2587\u2587\u2019\u2587 Default <strong>Probability</strong> Rating shall be determined as set forth below.", "<strong>Probability</strong> zones are dynamic approximations based on previous cultural resource discoveries and analyses, and are iteratively updated and applied as new data is acquired.", "<strong>Probability</strong> of failure would be unacceptable from the standpoint of safety of personnel and/or equipment.", "Obtain the <strong>probability</strong> of default (the &quot;Default <strong>Probability</strong>&quot;) value from the Schedule 1A table for each category of Reference Pool Status.", "Calculate the &quot;Gross Future Modeled Loss Amount,&quot; which is the sum of the following product for each of the five (5) categories of Reference Pool Status: (i) the applicable Reference Pool Status UPB, (ii) the applicable Default <strong>Probability</strong> and (iii) the applicable Loss Given Default.", "In the final semester, students are required to achieve a minimum raw score of 72.7 on the Predicted <strong>Probability</strong> of Passing NCLEX-RN ATI Proctored Exam \u2013 the Comprehensive Predictor Test (CPT).", "To the extent the Trust and Offsetting Counterparty, in their sole and absolute discretion, terminate the Fallback Swap Transaction and the Trust, in its sole and absolute discretion, enters into the Replacement Fallback Swap Transaction with the Fallback Offsetting Counterparty, in each case, within thirty (30) days of receipt of notice of the reduction of the Joint <strong>Probability</strong>, the Counterparty will have no further obligations under paragraph (a) above.", "<strong>Probability</strong> of Earning Fusion Savings Bonus - Based on the total number of eligible Fusion Savings Accounts at the time of the quarter end drawing.", "Calculate the \u201cGross Future Modeled Loss Amount,\u201d which is the sum of the following product for each of the five (5) categories of Reference Pool Status: (i) the applicable Reference Pool Status UPB, (ii) the applicable Default <strong>Probability</strong> and (iii) the applicable Loss Given Default."], "related": [["impact", "Impact", "Impact"], ["success", "Success", "Success"], ["likelihood-of-serious-harm", "Likelihood of serious harm", "Likelihood of serious harm"], ["endpoint", "Endpoint", "Endpoint"], ["outcome", "Outcome", "Outcome"]], "related_snippets": [], "updated": "2025-07-06T21:55:40+00:00"}, "json": true, "cursor": ""}}