{"id":"W6907500152","doi":"10.22033/esgf/cmip6.1403","title":"NOAA-GFDL GFDL-CM4 model output prepared for CMIP6 OMIP","year":2018,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"","field":"","cited_by":1,"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":[0.0006366501,0.001659784,0.001084375,0.001535123,0.0006598765,0.001642646,0.002252503,0.001480842,0.06395385],"category_scores_gemma":[0.002223255,0.0007398102,0.001351966,0.005544948,0.0002917183,0.002322628,0.0008214199,0.002499799,0.04881173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172277,"about_ca_system_score_gemma":0.003341879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1223678,"about_ca_topic_score_gemma":0.05037186,"domain_scores_codex":[0.9994844,0.0000727041,0.00003496488,0.0001624302,0.0001689034,0.0000765751],"domain_scores_gemma":[0.9991269,0.00006128356,0.00004449163,0.0001170223,0.0006065847,0.00004376152],"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":[0.00008916252,0.00002608364,0.00162975,0.0003713823,0.0001397972,0.00005154733,0.00002809259,0.01659376,0.0006078532,0.003006262,0.966616,0.01084023],"study_design_scores_gemma":[0.0004731664,0.00001502979,0.009690942,0.0002911232,0.0001491626,0.00005713225,0.0001570162,0.02637851,0.002297713,0.00981911,0.9505535,0.0001176484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001603045,0.0001902923,0.002451854,0.0006660706,0.0005284005,0.00006450537,0.9820956,0.001739044,0.01066107],"genre_scores_gemma":[0.01564219,0.0003710321,0.007561158,0.0003418194,0.0001150779,0.0003955838,0.9640146,0.002278564,0.009279978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1223678,"threshold_uncertainty_score":0.243311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03689701441179648,"score_gpt":0.2802509806429996,"score_spread":0.2433539662312031,"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."}}