{"id":"W4200538949","doi":"10.1080/07055900.2021.2011103","title":"Climate Model Projections for Canada: A Comparison of CMIP5 and CMIP6","year":2021,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Climate variability and models","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"","keywords":"Coupled model intercomparison project; Precipitation; Climatology; Environmental science; Scaling; Climate model; Climate change; Mean radiant temperature; Atmospheric sciences; Meteorology; Geology; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001446001,0.0001098981,0.0002224379,0.000001174775,0.0001594,0.00001572435,0.00009095866,0.00005483446,0.0002243596],"category_scores_gemma":[0.00004883649,0.000108613,0.00004619438,0.0001306794,0.00009363879,0.00009339133,0.0001549927,0.00007148481,0.000002389104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001279117,"about_ca_system_score_gemma":0.0001233091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06909575,"about_ca_topic_score_gemma":0.3803334,"domain_scores_codex":[0.998981,0.00002355833,0.000263874,0.0003029575,0.0001675999,0.0002609839],"domain_scores_gemma":[0.9994856,0.00008520111,0.00007643637,0.0002414794,0.00002435303,0.00008697858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001150192,0.0007444102,0.5142243,0.0003234066,0.00007020728,0.000006004053,0.003122469,0.4289491,0.005516276,0.006525349,0.03436713,0.006036268],"study_design_scores_gemma":[0.0005471849,0.00006916322,0.005936288,0.00002377613,0.00005833488,0.000007327783,0.001034602,0.9817188,0.00282891,0.002261547,0.005286824,0.0002272611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915153,0.00006287598,0.002188995,0.000347657,0.00006993765,0.0002715751,0.0001089077,0.00002169147,0.00541302],"genre_scores_gemma":[0.9886303,0.00002858747,0.01066366,0.0001478382,0.0000110069,0.000008335444,0.00001914587,0.00001342146,0.0004777258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5527696,"threshold_uncertainty_score":0.9371032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463630232319782,"score_gpt":0.2620537541977574,"score_spread":0.2374174518745596,"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."}}