{"id":"W6964020432","doi":"10.22033/esgf/cmip6.13957","title":"CCCma CanESM5 model output prepared for CMIP6 PAMIP pdSST-futArcSIC","year":2019,"lang":"en","type":"dataset","venue":"Earth System Grid Federation","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026751,0.001240313,0.001160763,0.001409429,0.0008147272,0.001707902,0.003274559,0.001787636,0.1241188],"category_scores_gemma":[0.003252011,0.0008773078,0.001984225,0.003819094,0.0002895324,0.002292418,0.00103767,0.002681769,0.05420073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603404,"about_ca_system_score_gemma":0.003911517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1904316,"about_ca_topic_score_gemma":0.1090894,"domain_scores_codex":[0.9994345,0.00009734079,0.00003827161,0.0001814799,0.0001552665,0.00009308124],"domain_scores_gemma":[0.9987937,0.0001263525,0.00004997757,0.0001936001,0.0007406992,0.00009563285],"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":[0.000087958,0.00002014548,0.001142821,0.0002526282,0.00009640768,0.00002454543,0.00002151304,0.01580597,0.0003133341,0.002352282,0.9750162,0.004866352],"study_design_scores_gemma":[0.0005465753,0.00002230322,0.007349845,0.0002100635,0.0001030167,0.00003143091,0.00009625336,0.03892704,0.001505231,0.005602086,0.9454952,0.0001110584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001232855,0.0001155622,0.002200329,0.0005752159,0.0004494051,0.00009967995,0.9797392,0.003532612,0.01205516],"genre_scores_gemma":[0.01276015,0.0001411425,0.00651696,0.0003608397,0.00008938702,0.0005127917,0.9678879,0.002702024,0.009028811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1904316,"threshold_uncertainty_score":0.4152187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588918421492968,"score_gpt":0.2791891306529399,"score_spread":0.2332999464380102,"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."}}