{"id":"W6908522619","doi":"10.26050/wdcc/ar6.c6spcccess245","title":"IPCC DDC: CCCma CanESM5-CanOE model output prepared for CMIP6 ScenarioMIP ssp245","year":2019,"lang":"en","type":"dataset","venue":"World Data Center for Climate","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupled model intercomparison project; Climate model; Earth system science; Climate change; Downscaling; Climate system; Grid","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":[0.00130924,0.001695064,0.0009089361,0.003072073,0.0005793668,0.002031664,0.002778549,0.001355342,0.1217033],"category_scores_gemma":[0.004761699,0.0006099336,0.001164716,0.009585294,0.0002561715,0.002322546,0.001071783,0.002186143,0.07030907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002519617,"about_ca_system_score_gemma":0.003402596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08558463,"about_ca_topic_score_gemma":0.03568761,"domain_scores_codex":[0.9991282,0.00015264,0.00005755429,0.0001466503,0.0004152197,0.00009980632],"domain_scores_gemma":[0.9981143,0.0002101502,0.0001023526,0.0002735278,0.001181016,0.0001185928],"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":[0.0001009317,0.0000243096,0.0008771074,0.0003838087,0.00005000174,0.00002809569,0.00002210999,0.007025896,0.0002007182,0.002437576,0.9791353,0.009714164],"study_design_scores_gemma":[0.0001642277,0.00001795095,0.006524352,0.0001932064,0.00003842527,0.00002727692,0.00007920151,0.004857783,0.00135732,0.003905816,0.9827766,0.00005787293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007013964,0.0001384629,0.001792724,0.0002660447,0.0003322196,0.0001203894,0.9797992,0.00128317,0.01556635],"genre_scores_gemma":[0.01003877,0.0003165665,0.005559117,0.000187958,0.0000741219,0.0007214856,0.9717327,0.001895176,0.00947406],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1217033,"threshold_uncertainty_score":0.4071382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1479958812789113,"score_gpt":0.3685287066420543,"score_spread":0.2205328253631429,"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."}}