{"id":"W2989888358","doi":"","title":"Identifying optimal physical parameterizations combination for WRF for regional climate studies over Southern Ontario","year":2013,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climatology; Weather Research and Forecasting Model; Climate model; Environmental science; Meteorology; Climate change; Geography; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004162894,0.0001579965,0.0001946618,0.00002376218,0.0003724412,0.0001030672,0.0001418783,0.00006578573,0.00002211588],"category_scores_gemma":[0.0002424446,0.0001495024,0.0001198325,0.00005683571,0.0001152131,0.0003740012,0.0001078028,0.00009208094,0.0001279401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147848,"about_ca_system_score_gemma":0.00001428009,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02530022,"about_ca_topic_score_gemma":0.02804268,"domain_scores_codex":[0.9987075,0.00002430429,0.0003124895,0.00036817,0.0002089525,0.0003786326],"domain_scores_gemma":[0.9989273,0.0005946904,0.000184383,0.0001700152,0.00005001217,0.00007357803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003484961,0.002845117,0.240347,0.0007384511,0.000389176,0.000003542923,0.08220331,0.5920166,0.06631936,0.003036228,0.006801623,0.00495101],"study_design_scores_gemma":[0.004907016,0.0007411738,0.5525049,0.0005112816,0.0004294298,0.00001028779,0.007608042,0.3518814,0.00196408,0.07344851,0.004200118,0.001793766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972047,0.000007776697,0.0008089361,0.0003093158,0.0001350108,0.0008698257,0.00002984931,0.0000589328,0.000575611],"genre_scores_gemma":[0.9869813,0.000005975337,0.01198478,0.0001484595,0.00005785577,0.0003758749,0.00007446067,0.00002151075,0.000349831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3121578,"threshold_uncertainty_score":0.989693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06630952860138437,"score_gpt":0.3020912110599157,"score_spread":0.2357816824585313,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}