{"id":"W4386286925","doi":"10.5772/intechopen.112416","title":"High-Resolution Regional Climate Projections for Ontario and the Canadian Great Lakes Basins","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental sciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Ministry of Environment","funders":"Ministry of Agriculture, Food and Rural Affairs; University of Toronto; York University; University of Regina","keywords":"Downscaling; Structural basin; Precipitation; Environmental science; Representative Concentration Pathways; Climate change; Drainage basin; Climate model; Climatology; Physical geography; Hydrology (agriculture); Geography; Geology; Oceanography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006979087,0.0005338223,0.0003070965,0.001433223,0.001645402,0.001047418,0.0009164464,0.0005037448,0.003991755],"category_scores_gemma":[0.001416279,0.0003959381,0.0008957628,0.003686443,0.000344417,0.0004965526,0.0006487395,0.000512336,0.0004805622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03843679,"about_ca_system_score_gemma":0.04675231,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963546,"about_ca_topic_score_gemma":0.9981613,"domain_scores_codex":[0.9996088,0.00003894178,0.00001838227,0.00005821442,0.0001734913,0.0001022418],"domain_scores_gemma":[0.9992022,0.00003150269,0.00005714278,0.00002305195,0.0005916788,0.00009442317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003783959,0.0001315782,0.1631492,0.0009513902,0.000745373,0.0007178943,0.001518997,0.6013529,0.003585996,0.01946278,0.1342746,0.07373098],"study_design_scores_gemma":[0.0003381243,0.00005840177,0.4678117,0.0002608626,0.0004334634,0.0001142178,0.00215111,0.36744,0.001254242,0.004462283,0.1554099,0.0002656244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6505097,0.002621216,0.007958362,0.004334504,0.0001844574,0.000424062,0.2727293,0.0008219397,0.06041638],"genre_scores_gemma":[0.9082159,0.003015385,0.01405546,0.0002418324,0.00003141896,0.000365069,0.05671968,0.0001023211,0.01725286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03843679,"threshold_uncertainty_score":0.2788797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04120376295139447,"score_gpt":0.2206273783157602,"score_spread":0.1794236153643657,"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."}}