Model Outputs Sample Clauses
The "Model Outputs" clause defines the ownership, use, and rights associated with the results or products generated by an artificial intelligence or machine learning model under the agreement. Typically, this clause clarifies whether the client, service provider, or another party has the right to use, modify, or commercialize the outputs, and may specify any restrictions or obligations regarding their use. By establishing clear terms for the handling of model outputs, this clause helps prevent disputes over intellectual property and ensures all parties understand their rights and responsibilities regarding the results produced by the model.
Model Outputs. Due to the nature of machine learning, your output may not be unique, could be generated by other licensees using the Licensed Materials or derivatives thereof, and outputs created by other NVIDIA licensees are not yours.
Model Outputs. As part of the submitted modeling analysis, summaries of model outputs will be clearly presented. Annual average, maximum hourly, and other applicable short-term averaging period concentrations for the applicable public health evaluation threshold (such as TCEQ’s ESL and AQMV levels) values will be reported. Summary plots of the modeled receptor grid, along with pollutant isopleths, will be included as well.
Model Outputs. All drawings (plans, elevations and sections) shall be created in the models and shall be direct outputs of the models. Areas generated from Models shall be measured in accordance with the gross internal floor area as defined in the RICS Code of Measuring Practice.
Model Outputs. This section describes the type of variables that recorded during the simulation experiments for latter analysis. Similarly to the environmental input parameters, the selection of output variables depends on the aspects of the simulation to be examined. Thus, the range of output parameters varies between each regional ad- aptation. In general, the outputs obtained from the model are in the form of time series consisting of data points for a predefined group of variables. Such time se- ▇▇▇▇ characterize the evolution of certain aspects of the simulated system. For the Social model, the list in Table 9 of predefined output variables is provided.3 Table 9 | Possible output variables for the Social Model Village Level Out- puts Household Level Outputs Individual Level Outputs Total Population Household-Residence distri- bution (number of households with a specific type of resi- dence) Status (worker, retired, student, unemployed) Number of households Number of households moving in Household Members distribu- tion (number of individuals per household) Age Number of households moving out Activity Pattern Income from performed activities Number of deaths Household Satisfaction Level Satisfaction Number of births Wealth Source: Own table In the case of level of non-commodity outputs, they correspond to the environ- mental parameters specified as attributes of the municipality environment (see Table 10). For each property on each land surface, a time series with the corre- sponding values will be generated. Thus for example, if the regional adaptation of a model defined environmental properties such as Water Conservation, Soil Con- servation and Biodiversity; the simulation will provide time series with the values that of each property had during the simulation. Table 10 | Possible output variables for non-commodity outputs Environmental outputs Economic outputs Social Outputs Water conservation Soil Conservation Contribution to air quality Use of renewable en- ergy Supply of renewable energy Biodiversity Quality of products Diversity of products Non agricultural activities Services Contribution to employment Contribution to rural viability Animal welfare Cultural heritage Provision of recreational areas Source: Own table 3 Note that each for each of the variables, a time series containing one value for each time step will be provided.