{"id":"W4226334214","doi":"10.1130/abs/2022nc-373704","title":"EOCENE ‘GREENHOUSE EARTH’ FISH RECORDS FROM THE CANADIAN ARCTIC PROVIDE A DEEP-TIME PERSPECTIVE ON ARCTIC BIODIVERSITY AND ENVIRONMENTAL CHANGE","year":2022,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Arctic; Biodiversity; Fish <Actinopterygii>; Greenhouse; Climate change; Environmental change; The arctic; Perspective (graphical); Greenhouse gas; Earth (classical element); Environmental science; Environmental resource management; Earth science; Geography; Physical geography; Fishery; Ecology; Oceanography; Geology; Computer science; Biology","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":[0.0003957034,0.0002764962,0.0002270966,0.002474755,0.002164984,0.000945197,0.0003642038,0.0003101622,0.00380435],"category_scores_gemma":[0.0008608469,0.0001668199,0.0002554371,0.005320539,0.0007300162,0.0008489082,0.0008601738,0.0005260131,0.0002947946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008366054,"about_ca_system_score_gemma":0.00941967,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792206,"about_ca_topic_score_gemma":0.9953339,"domain_scores_codex":[0.9998713,0.000006648161,0.000006522017,0.00002035694,0.00004580835,0.00004938809],"domain_scores_gemma":[0.9991177,0.00004736708,0.0001387031,0.0000352251,0.0005643902,0.00009653277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003158548,0.00003888545,0.8640463,0.0004649315,0.000380647,0.0003433557,0.00495242,0.002820218,0.01378842,0.003383734,0.02135527,0.08810998],"study_design_scores_gemma":[0.000002366545,0.000003836135,0.981936,0.00002779945,0.0000208667,0.00003623059,0.0007614724,0.0001341501,0.0002662091,0.0001572897,0.01664266,0.00001101754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9331625,0.004763323,0.001078413,0.00200882,0.0001215376,0.00002104706,0.02669065,0.00006405907,0.03208968],"genre_scores_gemma":[0.9821598,0.002158764,0.001229494,0.0003583967,0.0000314195,0.0000139936,0.009392663,0.00003344579,0.004622082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077937,"threshold_uncertainty_score":0.06070024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324780145508,"score_gpt":0.1890580632951573,"score_spread":0.1658102618400773,"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."}}