{"id":"W1966089332","doi":"10.1007/s003820050339","title":"The Canadian Centre for Climate Modelling and Analysis global coupled model and its climate","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":603,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Climatology; Climate model; Environmental science; Transient climate simulation; Extratropical cyclone; Climate state; Forcing (mathematics); Climate change; Greenhouse gas; Climate commitment; General Circulation Model; Atmospheric sciences; Global warming; Effects of global warming; Geology","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":[0.001925209,0.001820343,0.001977197,0.002067597,0.004182677,0.004209495,0.00339028,0.001488528,0.03740209],"category_scores_gemma":[0.006985587,0.0006948102,0.001305799,0.005723597,0.001218582,0.002344229,0.001757369,0.002990964,0.009707941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0250672,"about_ca_system_score_gemma":0.1079285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9918155,"about_ca_topic_score_gemma":0.9885665,"domain_scores_codex":[0.99812,0.0001662687,0.00006966232,0.0001834297,0.001112264,0.0003483712],"domain_scores_gemma":[0.9920116,0.0002807679,0.0002068665,0.0005701389,0.006379587,0.0005509837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008742471,0.00005547891,0.002427881,0.0003845899,0.0001582873,0.00006538922,0.0001048592,0.02114311,0.0005476565,0.03332357,0.8597236,0.08197817],"study_design_scores_gemma":[0.0001605002,0.00001716722,0.008778366,0.0002488024,0.0001700104,0.00003205748,0.0001602034,0.05723771,0.0009108004,0.01687151,0.9152521,0.0001607536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01168311,0.01167033,0.09984083,0.0402027,0.01248209,0.001020272,0.4341915,0.01504808,0.373861],"genre_scores_gemma":[0.1532485,0.02310673,0.1754452,0.005440549,0.001508213,0.001014903,0.2852305,0.007303231,0.3477021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9918155,"threshold_uncertainty_score":0.1818761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01333503624635238,"score_gpt":0.2308020207350246,"score_spread":0.2174669844886722,"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."}}