{"id":"W2002114776","doi":"10.1038/nclimate1301","title":"Climate change impacts on the biophysics and economics of world fisheries","year":2011,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":659,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overfishing; Climate change; Fisheries management; Productivity; Fishery; Fisheries science; Effects of global warming; Environmental science; Ecological forecasting; Global warming; Natural resource economics; Fishing; Ecology; Economics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002604375,0.0001692763,0.0001833071,0.00004804418,0.0001378253,0.00003233903,0.0002747449,0.0001342702,0.003284185],"category_scores_gemma":[0.00002327473,0.0001142064,0.00005256711,0.0002262773,0.0003130788,0.0003171283,0.0005618315,0.0003774359,0.00007162248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004336339,"about_ca_system_score_gemma":0.000002118295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002690178,"about_ca_topic_score_gemma":0.000830305,"domain_scores_codex":[0.99896,0.00003694111,0.0001506315,0.0002591238,0.0001507067,0.0004426501],"domain_scores_gemma":[0.9993731,0.00006838586,0.0001023703,0.0003498798,0.00001076608,0.00009554699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005858706,0.0003461542,0.7843987,0.0003031853,0.00004063271,0.00002713969,0.01128857,1.020223e-7,0.000604259,0.0288824,0.003118053,0.1704049],"study_design_scores_gemma":[0.0005357247,0.0006020125,0.9200746,0.00008289264,0.0000322157,0.00000790185,0.0007924445,0.0001786457,0.006694097,0.002483557,0.06794946,0.0005664387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71084,0.0000778711,9.857803e-8,0.001780323,0.0001678993,0.0004548928,0.000124302,0.00002616407,0.2865284],"genre_scores_gemma":[0.992655,0.004856098,0.00007330528,0.001969924,0.0001966995,0.00008944469,0.00001392683,0.0000269722,0.0001185992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2864098,"threshold_uncertainty_score":0.997627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07351185494675888,"score_gpt":0.2585059785726628,"score_spread":0.184994123625904,"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."}}