{"id":"W6889772434","doi":"10.26050/wdcc/ar6.c6cmccce","title":"IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 CMIP","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; Resource (disambiguation); 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":[0.002027955,0.001901678,0.002416535,0.001259055,0.0004864568,0.0006806468,0.008111279,0.0004884652,0.0002353324],"category_scores_gemma":[0.0004751087,0.001913272,0.0007704973,0.000582926,0.0002885066,0.001319954,0.005462089,0.0008143446,0.008688772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007084603,"about_ca_system_score_gemma":0.0005066706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004439263,"about_ca_topic_score_gemma":0.02232028,"domain_scores_codex":[0.9894294,0.0001636941,0.002019463,0.004003788,0.001114764,0.003268869],"domain_scores_gemma":[0.9831828,0.0005631917,0.002018259,0.01323092,0.0004342732,0.0005704963],"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":[0.002945866,0.0007008641,0.00008911753,0.0044163,0.0006622448,0.00001352667,0.00003416697,0.0004477017,0.00001318142,0.00004786469,0.990447,0.000182159],"study_design_scores_gemma":[0.005466317,0.000157512,0.00001058785,0.00076068,0.001379499,0.00002050534,0.00002065215,0.05868634,0.00001213647,0.00008079632,0.931574,0.001830935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003051173,0.0002427147,0.0004347949,0.0002206334,0.003131842,0.008059565,0.987308,0.0003709426,0.0002009889],"genre_scores_gemma":[0.00003060525,0.0002949907,0.005456336,0.001034816,0.0009535914,0.001580432,0.985115,0.0009206531,0.004613572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05887297,"threshold_uncertainty_score":0.9993727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552577207443803,"score_gpt":0.374258172594868,"score_spread":0.2190004518504877,"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."}}