{"id":"W6908370972","doi":"10.26050/wdcc/ar6.c6spccces460","title":"IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 ScenarioMIP ssp460","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":[0.002415617,0.00213106,0.002720519,0.001531973,0.0006013245,0.0008436983,0.008780573,0.0005762837,0.0002423241],"category_scores_gemma":[0.0005385581,0.00214645,0.0008678915,0.0007008622,0.00035771,0.001507647,0.006074576,0.0009588615,0.00856243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000923302,"about_ca_system_score_gemma":0.0006829881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005747158,"about_ca_topic_score_gemma":0.02429521,"domain_scores_codex":[0.9881929,0.0001908924,0.002266872,0.0044354,0.001227153,0.003686768],"domain_scores_gemma":[0.9821143,0.0005800432,0.002261976,0.013877,0.0005021034,0.0006646105],"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":[0.003957417,0.0008752178,0.0001311163,0.004703807,0.0007705271,0.00001808841,0.00004039932,0.0006342946,0.00001869483,0.00005409625,0.988607,0.0001893746],"study_design_scores_gemma":[0.006624377,0.0001692955,0.00001290753,0.0009394436,0.001500231,0.00002559688,0.0000194664,0.07875088,0.00001371346,0.00006608295,0.909861,0.002017044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005362674,0.0002712358,0.000424911,0.0002485589,0.003418402,0.009028022,0.9859942,0.0004038349,0.0001572329],"genre_scores_gemma":[0.00004638205,0.0003111342,0.00577916,0.001117141,0.001006539,0.001546461,0.9847619,0.001018131,0.004413129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07874601,"threshold_uncertainty_score":0.9991431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150280972662597,"score_gpt":0.3710646378571602,"score_spread":0.2207836651945631,"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."}}