{"id":"W2033012550","doi":"10.1007/s00704-007-0299-z","title":"Uncertainty analysis of statistically downscaled temperature and precipitation regimes in Northern Canada","year":2007,"lang":"en","type":"article","venue":"Theoretical and Applied Climatology","topic":"Climate variability and models","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique; Ouranos","funders":"","keywords":"Downscaling; HadCM3; Climatology; Environmental science; Precipitation; Climate model; Climate change; Meteorology; General Circulation Model; GCM transcription factors; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001341318,0.0002383528,0.0003481473,0.0006147968,0.0009605968,0.001244457,0.0008815939,0.0002838937,0.0004424925],"category_scores_gemma":[0.005509676,0.0002428704,0.0004573495,0.001264651,0.0009505235,0.0003821693,0.0004104727,0.0004696359,0.00004091232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01264116,"about_ca_system_score_gemma":0.01023402,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9335712,"about_ca_topic_score_gemma":0.935654,"domain_scores_codex":[0.9995126,0.00007668879,0.00002861156,0.0001170425,0.0001808546,0.00008419965],"domain_scores_gemma":[0.9974762,0.0009827516,0.0002309805,0.0001960947,0.001017053,0.00009697019],"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":[0.0002049532,0.00004792693,0.1154162,0.0000408738,0.0002162148,0.0001140845,0.0001734624,0.8624143,0.002381623,0.003982539,0.0009984511,0.01400934],"study_design_scores_gemma":[0.000029112,0.00001694376,0.2584482,0.00001421037,0.00007273543,0.0000201177,0.0001944983,0.7354428,0.001632065,0.002613174,0.00144883,0.0000672909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958026,0.0001565431,0.002331387,0.0001421048,0.000009884276,0.000005764194,0.000613015,0.00005855907,0.000880111],"genre_scores_gemma":[0.9986084,0.00005559677,0.0007263079,0.00001427435,0.000004226158,0.000003231966,0.0004029459,0.00001475728,0.0001702332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06642878,"threshold_uncertainty_score":0.1336399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003437441007968391,"score_gpt":0.2142562272742922,"score_spread":0.2108187862663238,"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."}}