{"id":"W2040547886","doi":"10.4296/cwrj3003245","title":"Evaluation of GCM Simulated Climate over the Canadian Prairie Provinces","year":2005,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Climate variability and models","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HadCM3; Precipitation; Environmental science; Climatology; GCM transcription factors; Common spatial pattern; Mean radiant temperature; Climate model; Anomaly (physics); Replicate; Atmospheric sciences; General Circulation Model; Climate change; Meteorology; Geography; Mathematics; Geology; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305632,0.001203437,0.0005388064,0.0006071991,0.001191723,0.00104071,0.001882635,0.0006695208,0.0009907287],"category_scores_gemma":[0.003403366,0.0005597728,0.0007654421,0.00118464,0.0007418515,0.0005551187,0.0004691857,0.0007852008,0.0001303245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230354,"about_ca_system_score_gemma":0.006970962,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.881698,"about_ca_topic_score_gemma":0.804179,"domain_scores_codex":[0.999383,0.0001585394,0.00003023747,0.000133158,0.0001485942,0.0001465248],"domain_scores_gemma":[0.998563,0.0003950893,0.00008495084,0.0001363921,0.0007087015,0.0001117776],"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":[0.0001512039,0.00007427041,0.02415366,0.00004348608,0.0001207984,0.0000554588,0.00005605209,0.969965,0.0008235236,0.0003135585,0.0004784891,0.003764391],"study_design_scores_gemma":[0.0002459063,0.0001148725,0.03276673,0.00001569839,0.00009389455,0.00002523323,0.00013062,0.9624322,0.002540509,0.0001262856,0.001458981,0.00004906985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935003,0.0001289025,0.001065668,0.00009254727,0.00002231025,0.00005822484,0.001749281,0.0003404911,0.003042289],"genre_scores_gemma":[0.9949211,0.00009280062,0.002517256,0.00003028249,0.000004545331,0.00003677092,0.001992106,0.0000385026,0.0003667495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.118302,"threshold_uncertainty_score":0.2379974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492209351814293,"score_gpt":0.2385606273248431,"score_spread":0.2136385338067001,"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."}}