{"id":"W6963811064","doi":"10.22033/esgf/cmip6.3666","title":"CCCma CanESM5 model output prepared for CMIP6 RFMIP piClim-histghg","year":2019,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coupled model intercomparison project; Climate model; Climate change; Grid; Phase (matter); Resource (disambiguation); Earth system science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000768407,0.0003501523,0.000464401,0.00006416375,0.0007538398,0.000201957,0.0005084628,0.0005101205,0.0002294892],"category_scores_gemma":[0.00008753412,0.0003237687,0.0001255773,0.0001119206,0.00009610649,0.0003859264,0.0001456795,0.0002318775,0.002862812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000305504,"about_ca_system_score_gemma":0.0001309355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000432635,"about_ca_topic_score_gemma":0.008999875,"domain_scores_codex":[0.9974571,0.0001354157,0.0005309185,0.0008497235,0.0005096968,0.0005171845],"domain_scores_gemma":[0.9986929,0.0001236914,0.0003962351,0.0006158369,0.00002818213,0.0001431015],"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":[0.00003816117,0.00003410402,0.0001989467,0.0001757054,0.00001327966,0.000006672628,0.000067367,0.0320393,0.00005501622,0.00001865105,0.9672674,0.00008537704],"study_design_scores_gemma":[0.0005011202,0.0001536067,0.0009411332,0.00009711344,0.00006251654,0.0000566359,0.00004326181,0.1959389,0.00006215337,0.00002610881,0.8015752,0.0005422623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003200812,0.00004420354,0.001422707,0.0001685428,0.003165466,0.001911578,0.9880357,0.00008128708,0.001969719],"genre_scores_gemma":[0.03194547,0.00001593118,0.0003890181,0.0003273499,0.0004326669,0.0003163552,0.9587914,0.00002068264,0.007761077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1656922,"threshold_uncertainty_score":0.9999214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277967694001808,"score_gpt":0.2349867471017713,"score_spread":0.2122070701617532,"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."}}