{"id":"W6944816092","doi":"10.22033/esgf/cmip6.8620","title":"NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 OMIP omip1","year":2018,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Coupled model intercomparison project; Grid; Climate model; Phase (matter); Climate change; Degree (music); Atmospheric model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000705164,0.001750207,0.001076413,0.001747156,0.0006935906,0.001663573,0.002291608,0.001492419,0.06284092],"category_scores_gemma":[0.002604612,0.0007374701,0.001364256,0.006163656,0.000299104,0.002396476,0.0008193194,0.00248645,0.04939115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00241817,"about_ca_system_score_gemma":0.003536089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1339904,"about_ca_topic_score_gemma":0.05612176,"domain_scores_codex":[0.9994118,0.00008432005,0.0000399535,0.0001815736,0.000198465,0.00008392886],"domain_scores_gemma":[0.9989486,0.00007359492,0.00005097698,0.0001301459,0.00075049,0.00004623381],"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":[0.00009183288,0.00002778909,0.00175043,0.0004009737,0.0001380721,0.00005118122,0.00002755585,0.01741112,0.0006236798,0.002996689,0.9652214,0.01125929],"study_design_scores_gemma":[0.0005006471,0.00001610648,0.01063468,0.0003373311,0.0001465061,0.00005853009,0.0001721961,0.0265826,0.002360709,0.009817509,0.949244,0.0001291702],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001543349,0.0001876439,0.002396341,0.0006339514,0.0004902635,0.00006299801,0.9833945,0.001555431,0.009735544],"genre_scores_gemma":[0.01453473,0.0003740667,0.006930544,0.0003031943,0.0001057409,0.0003836495,0.9674451,0.001958901,0.007964117],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1339904,"threshold_uncertainty_score":0.266421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03643903644277116,"score_gpt":0.2795976376143462,"score_spread":0.243158601171575,"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."}}