{"id":"W6965041850","doi":"10.26050/wdcc/ar6.c6dacccehg","title":"IPCC DDC: CCCma CanESM5 model output prepared for CMIP6 DAMIP hist-GHG","year":2019,"lang":"en","type":"dataset","venue":"World Data Center for Climate","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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":[0.00129348,0.001794584,0.001089129,0.002615117,0.0006493296,0.001842849,0.003036625,0.002019549,0.07594009],"category_scores_gemma":[0.00355735,0.0007131752,0.001487714,0.008221384,0.000353614,0.002738759,0.001024471,0.002810002,0.04064691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003014624,"about_ca_system_score_gemma":0.003640917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1021782,"about_ca_topic_score_gemma":0.04157408,"domain_scores_codex":[0.9991111,0.0001577996,0.00005152545,0.0001883853,0.0003940632,0.00009701758],"domain_scores_gemma":[0.9985425,0.0001541394,0.00008275097,0.0001941697,0.0009361527,0.00009034819],"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":[0.0001280587,0.00003047301,0.00152774,0.0005652406,0.00009778751,0.00003438198,0.00002828654,0.02794833,0.0003103931,0.00371802,0.9554952,0.010116],"study_design_scores_gemma":[0.0003146261,0.00003178959,0.01141438,0.000329848,0.00009414493,0.00003753504,0.0001290927,0.02143604,0.002326531,0.00766091,0.9561027,0.0001223421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001494815,0.0002784379,0.002898424,0.0005671327,0.0005523375,0.0001465292,0.9747646,0.001652702,0.01764502],"genre_scores_gemma":[0.02549074,0.0005177282,0.009072311,0.0003613829,0.000132372,0.0008979191,0.9510768,0.002423694,0.01002703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1021782,"threshold_uncertainty_score":0.2540449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116664639659532,"score_gpt":0.291996703843533,"score_spread":0.1753320641840011,"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."}}