{"id":"W2996759975","doi":"10.5194/cp-2019-145","title":"A return to large-scale features of Pliocene climate: the Pliocene Model Intercomparison Project Phase 2","year":2020,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climatology; Coupled model intercomparison project; Environmental science; Climate model; Precipitation; Proxy (statistics); Sea surface temperature; Zonal and meridional; Polar; Atmospheric sciences; Ice sheet; Climate change; Geology; Meteorology; Oceanography; Geography","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":[0.00416141,0.0008705608,0.0006599079,0.0003433503,0.0005036165,0.001297292,0.001384594,0.0009211207,0.00237421],"category_scores_gemma":[0.003758024,0.0004037416,0.0009917151,0.0009144755,0.0003026172,0.001391632,0.001573371,0.001613748,0.0003225078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009901022,"about_ca_system_score_gemma":0.001749491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121041,"about_ca_topic_score_gemma":0.01616429,"domain_scores_codex":[0.999441,0.0002534871,0.0000260208,0.0001365,0.0000969682,0.000046051],"domain_scores_gemma":[0.9988388,0.0002144703,0.0001254463,0.000438626,0.0002979428,0.00008469066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001269971,0.0004803196,0.1739193,0.0003154396,0.002368559,0.0004280754,0.0006542958,0.6691318,0.01536341,0.01060594,0.04162272,0.08384012],"study_design_scores_gemma":[0.002597383,0.0005091871,0.2107499,0.0001628457,0.0005142867,0.0001593481,0.0003172979,0.6609656,0.01833404,0.008127953,0.09737392,0.0001882463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885303,0.001333377,0.04994066,0.009700583,0.0007059896,0.0003317799,0.02976963,0.002203154,0.0207117],"genre_scores_gemma":[0.9199194,0.0005351729,0.03827411,0.001169708,0.0001944431,0.0009549236,0.03524702,0.001000316,0.002704958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02121041,"threshold_uncertainty_score":0.04217386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606152751108507,"score_gpt":0.2640737770781173,"score_spread":0.2480122495670322,"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."}}