{"id":"W6908428471","doi":"10.26050/wdcc/ar6.c6spcccess585","title":"IPCC DDC: CCCma CanESM5-CanOE model output prepared for CMIP6 ScenarioMIP ssp585","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002534121,0.002316565,0.002930272,0.001640923,0.0006615445,0.0009025949,0.009275191,0.0006226084,0.0003318009],"category_scores_gemma":[0.0005651396,0.002347141,0.0009258394,0.0007843522,0.000401886,0.001581145,0.006261892,0.001039737,0.008220748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099639,"about_ca_system_score_gemma":0.0008991097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009696702,"about_ca_topic_score_gemma":0.04912426,"domain_scores_codex":[0.9872499,0.0002175066,0.002443808,0.004732904,0.001360679,0.003995273],"domain_scores_gemma":[0.9812889,0.0006218475,0.002458007,0.01433042,0.0005532829,0.0007476146],"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":[0.004149979,0.000939057,0.0001642066,0.004775381,0.0008669086,0.0000199611,0.00004910045,0.0006369008,0.00002476167,0.00005138013,0.988071,0.0002513104],"study_design_scores_gemma":[0.00689532,0.0001921803,0.00001663341,0.001026362,0.001640092,0.00002846491,0.00002612917,0.06845219,0.00001641582,0.00006894283,0.9194075,0.002229798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005595787,0.0002976934,0.0004048117,0.0002516421,0.003706073,0.009466575,0.9851732,0.0004226554,0.0002214324],"genre_scores_gemma":[0.00005566987,0.0003054129,0.005594744,0.001248668,0.001086643,0.001718285,0.9833912,0.001106443,0.005492995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06866358,"threshold_uncertainty_score":0.9989573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1489950822021145,"score_gpt":0.3687668398122356,"score_spread":0.2197717576101211,"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."}}