{"id":"W4362472432","doi":"10.5194/cp-19-747-2023","title":"On the climatic influence of CO <sub>2</sub> forcing in the Pliocene","year":2023,"lang":"en","type":"article","venue":"Climate of the past","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"FP7 Ideas: European Research Council; Ministry of Education, Culture, Sports, Science and Technology; Japan Society for the Promotion of Science; Natural Environment Research Council; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Forcing (mathematics); Climatology; Precipitation; Environmental science; Sea surface temperature; Climate model; Climate change; Geology; Meteorology; Geography; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009392416,0.0006386839,0.0002896545,0.0004010044,0.0003075454,0.0008531855,0.0004387694,0.0003207652,0.001968478],"category_scores_gemma":[0.001729242,0.0002280748,0.0004983252,0.0006908374,0.0003751347,0.0007013321,0.0007884244,0.0004994091,0.0001611828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007770405,"about_ca_system_score_gemma":0.0006155555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04258221,"about_ca_topic_score_gemma":0.03849499,"domain_scores_codex":[0.9998252,0.00005750016,0.00000908129,0.00005718408,0.00002938987,0.00002167174],"domain_scores_gemma":[0.9995754,0.0002163434,0.00005361486,0.00005309737,0.00007879386,0.00002273645],"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":[0.0004565266,0.00006013031,0.3559336,0.000202247,0.0008713824,0.0003597439,0.0003047778,0.574498,0.02724286,0.001880191,0.001300283,0.03689025],"study_design_scores_gemma":[0.0001262099,0.0001086432,0.2921207,0.00004508314,0.0002078824,0.00006802269,0.0002982022,0.6894107,0.01275309,0.001882159,0.002923141,0.00005611725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918568,0.0002495626,0.004152804,0.0002422299,0.00001517292,0.00001151044,0.0005674018,0.0001087614,0.00279573],"genre_scores_gemma":[0.9977976,0.00008869179,0.001517244,0.00003318762,0.000009241411,0.000007816605,0.0003413027,0.00004376466,0.0001612028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04258221,"threshold_uncertainty_score":0.0846687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347788218422133,"score_gpt":0.256001553251429,"score_spread":0.2325236710672077,"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."}}