{"id":"W6907569429","doi":"10.22033/esgf/cmip6.17224","title":"CCCma CanESM5.1 model output prepared for CMIP6 CMIP abrupt-4xCO2","year":2019,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupled model intercomparison project; Climate model; Climate change; Grid; Phase (matter); Earth system science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001132615,0.001503913,0.001355002,0.001540158,0.0009260155,0.001884449,0.00386582,0.002059709,0.1097277],"category_scores_gemma":[0.003091149,0.001037653,0.002255437,0.004313944,0.0003108442,0.002597001,0.001120018,0.003005763,0.05277911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002544564,"about_ca_system_score_gemma":0.004040381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2040908,"about_ca_topic_score_gemma":0.1120758,"domain_scores_codex":[0.9994106,0.0001042402,0.00004063851,0.0001849567,0.0001554343,0.0001041171],"domain_scores_gemma":[0.9987742,0.0001190908,0.00005604004,0.0001822639,0.0007659129,0.0001023888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000889764,0.00002196975,0.001263345,0.0002901622,0.0001109295,0.00002617726,0.00002401626,0.01668071,0.0003506251,0.002660684,0.9738999,0.004582464],"study_design_scores_gemma":[0.0007035554,0.00002409168,0.007273692,0.0002346477,0.000128478,0.00003654123,0.0001078872,0.04137142,0.001671198,0.006552412,0.9417527,0.0001434855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001141888,0.0001207893,0.00200946,0.0006150705,0.0004166086,0.00008646868,0.9835204,0.003414296,0.008675013],"genre_scores_gemma":[0.01069019,0.0001574082,0.006508005,0.0003832009,0.00009727204,0.000521747,0.9721159,0.002596496,0.00692975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2040908,"threshold_uncertainty_score":0.4058056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04688323201570187,"score_gpt":0.286393064502549,"score_spread":0.2395098324868471,"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."}}