{"id":"W1999491524","doi":"10.1038/nature12156","title":"Signature of ocean warming in global fisheries catch","year":2013,"lang":"en","type":"article","venue":"Nature","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":893,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"National Geographic Society; Natural Sciences and Engineering Research Council of Canada; Pew Charitable Trusts","keywords":"Effects of global warming on oceans; Fishing; Climate change; Global warming; Fishery; Sea surface temperature; Latitude; Environmental science; Subtropics; Oceanography; Marine ecosystem; Geography; Ecosystem; Ecology; Biology","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":[0.0003766576,0.0001612522,0.0002403872,0.0007708049,0.0002917156,0.0008171109,0.0001554155,0.0004078032,0.002799662],"category_scores_gemma":[0.001899698,0.0001627479,0.0003447791,0.0007237773,0.0003254833,0.0004300062,0.0008256339,0.0003800336,0.000350962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120929,"about_ca_system_score_gemma":0.0002940272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004146762,"about_ca_topic_score_gemma":0.006877694,"domain_scores_codex":[0.9998466,0.000026991,0.00001754359,0.00004341683,0.00002273846,0.00004273218],"domain_scores_gemma":[0.9991074,0.00017185,0.0003421673,0.00009492323,0.0001392998,0.0001442004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002755862,0.00002253515,0.9842105,0.0000269132,0.0001377074,0.00009417346,0.00009337014,0.0006915126,0.007760169,0.0002941691,0.000323661,0.00606963],"study_design_scores_gemma":[0.000002032403,0.00001824702,0.9989773,0.000003914366,0.00001868286,0.00003664578,0.00006710865,0.0002738407,0.0002779331,0.00009903894,0.0002220447,0.000003156011],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971172,0.0001661533,0.0001318084,0.0001470738,0.00001949182,0.000002645282,0.0004006978,0.0000152885,0.001999712],"genre_scores_gemma":[0.9993717,0.00006186525,0.00006135174,0.00004049487,0.00001659838,0.000001616983,0.0001971385,0.000008575279,0.000240662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004146762,"threshold_uncertainty_score":0.009365797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005885168799012591,"score_gpt":0.2365496695098297,"score_spread":0.2306645007108171,"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."}}