{"id":"W6888842025","doi":"10.22033/esgf/cmip6.3151","title":"CCCma CanESM5 model output prepared for CMIP6 CMIP 1pctCO2","year":2019,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"","field":"","cited_by":8,"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":[0.001068847,0.001338784,0.001217265,0.001524539,0.0008738188,0.00184367,0.003357424,0.002030834,0.1363952],"category_scores_gemma":[0.003757666,0.0009259785,0.002002737,0.004353719,0.0003131599,0.002515176,0.00107933,0.002981686,0.06447864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002581335,"about_ca_system_score_gemma":0.004102245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1920022,"about_ca_topic_score_gemma":0.1127479,"domain_scores_codex":[0.9993826,0.0001039566,0.00004271174,0.0001960016,0.0001773086,0.00009739032],"domain_scores_gemma":[0.9985428,0.000156128,0.0000570613,0.0002216676,0.0009175353,0.0001048374],"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":[0.00006903679,0.00001621031,0.0008414602,0.0002210349,0.00007917899,0.00002171643,0.0000179284,0.01111685,0.0002837662,0.002152195,0.9809319,0.004248756],"study_design_scores_gemma":[0.0004685817,0.000017608,0.005795147,0.0001977103,0.00009391826,0.00002902316,0.00008563303,0.03085416,0.001398832,0.00584195,0.9551108,0.0001067411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009368024,0.0001090168,0.002280306,0.000618496,0.0004698234,0.00009359611,0.9813937,0.003340925,0.01075736],"genre_scores_gemma":[0.01015902,0.0001447769,0.006532738,0.0003783212,0.0001001746,0.0005321716,0.97022,0.002812748,0.009119937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8079978,"threshold_uncertainty_score":0.4562873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0477658105447664,"score_gpt":0.2833675971708272,"score_spread":0.2356017866260608,"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."}}