{"id":"W4387743888","doi":"10.1111/fme.12659","title":"Mean temperature of the catch index can be masked by changes in catch composition unrelated to ocean warming","year":2023,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Ectotherm; Sea surface temperature; Climate change; Global warming; Fishery; Environmental science; Subtropics; Oceanography; Effects of global warming on oceans; Ecology; Biology; Geology","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":[0.0006834421,0.0002636872,0.000252716,0.0004863041,0.0002820074,0.0005031291,0.0002262013,0.0002600386,0.001761252],"category_scores_gemma":[0.002755177,0.0001753519,0.0004009196,0.0007959745,0.0003302308,0.0005096251,0.0004351776,0.0003640482,0.0003575634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002977054,"about_ca_system_score_gemma":0.0001951915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007593588,"about_ca_topic_score_gemma":0.008620946,"domain_scores_codex":[0.9995603,0.00008856642,0.00004389125,0.0001869739,0.0000625486,0.0000577619],"domain_scores_gemma":[0.9983114,0.0004119808,0.0006298837,0.0003145149,0.0002494254,0.00008279274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002535968,0.00002696404,0.9730985,0.00006200549,0.0002930862,0.0001249417,0.0002996273,0.001602553,0.01431979,0.0002153026,0.0005914197,0.009112219],"study_design_scores_gemma":[0.000001167167,0.000015625,0.9976419,0.000004604104,0.00001642534,0.00002687337,0.00007805721,0.001176215,0.0006244729,0.00005739764,0.0003531938,0.000004013543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964049,0.0001359736,0.001094877,0.00004386943,0.00003487444,0.000005322605,0.0007704155,0.00003338559,0.001476304],"genre_scores_gemma":[0.9989943,0.00002084473,0.0002353811,0.00002126433,0.000009865709,0.000007625986,0.0004915017,0.00001360821,0.0002054903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007593588,"threshold_uncertainty_score":0.01509881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048805459665335,"score_gpt":0.2166166457489295,"score_spread":0.2061285911522762,"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."}}