{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122332,0.0006037102,0.0002979485,0.0008468941,0.0008678032,0.001243892,0.0009708525,0.0003757057,0.001777045],"category_scores_gemma":[0.003003258,0.0002578854,0.0006720838,0.002843576,0.0002207046,0.0007486548,0.0004414951,0.000614484,0.0002509505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01683594,"about_ca_system_score_gemma":0.0210982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9688644,"about_ca_topic_score_gemma":0.9593914,"domain_scores_codex":[0.9993973,0.00006571317,0.00002597471,0.00008879874,0.0003252109,0.00009693226],"domain_scores_gemma":[0.9983097,0.00009552264,0.00008297773,0.00007361958,0.001313426,0.0001247614],"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":[0.0005742501,0.00008871469,0.1822439,0.0004315269,0.0009009898,0.0001996033,0.0003792426,0.6925719,0.002241162,0.01233544,0.05001816,0.0580151],"study_design_scores_gemma":[0.0002526211,0.00007761367,0.3286967,0.0002086764,0.0004488015,0.00009792245,0.0008747783,0.5882949,0.002990952,0.00466322,0.07320295,0.0001908381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7948373,0.003889459,0.01456684,0.006016419,0.0003905254,0.0001711935,0.1356613,0.00205626,0.04241066],"genre_scores_gemma":[0.9188531,0.001942209,0.01509783,0.0002959993,0.00004307863,0.0001045666,0.06151154,0.0002056964,0.001946007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03113562,"threshold_uncertainty_score":0.1221539,"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."}}