{"id":"W2766157081","doi":"10.1073/pnas.1705525114","title":"Supply and demand drive a critical transition to dysfunctional fisheries","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; McGill University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Fishing; Yield (engineering); Economics; Natural resource economics; Fisheries management; Fishery; Resource (disambiguation); Pollock; Population; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006212122,0.00005586417,0.00008087429,0.00003053597,0.0006152848,0.00006188256,0.0004974627,0.00004136495,0.00005584323],"category_scores_gemma":[0.0004141764,0.00003664054,0.00002825631,0.0001109482,0.001593313,0.0005887625,0.0001841156,0.00006243404,0.000002903893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002235258,"about_ca_system_score_gemma":0.000005871778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002703466,"about_ca_topic_score_gemma":0.0000017126,"domain_scores_codex":[0.9988748,0.000003120972,0.0001474356,0.0001975496,0.0006723959,0.0001046259],"domain_scores_gemma":[0.9997236,0.00005900437,0.0001222181,0.000008123066,0.00004037275,0.0000466998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004710739,0.00009005623,0.422098,0.0001237315,0.00001198789,3.224416e-8,0.001469212,0.000811188,0.4683903,0.103585,0.002122316,0.001251095],"study_design_scores_gemma":[0.00008967014,0.00005818459,0.9346325,0.00007346988,0.000006288751,0.00001268589,0.0001671654,0.005069536,0.01792368,0.0417152,0.0001788673,0.00007275998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757338,0.00001164991,0.00001472558,0.01404224,0.00001997153,0.0001051358,0.00001406473,0.000003283318,0.01005516],"genre_scores_gemma":[0.9979447,0.000008532626,0.001699196,0.0002246619,0.00002455604,0.000006619748,2.876204e-8,0.000001565496,0.00009017959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5125346,"threshold_uncertainty_score":0.5870629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619866676074337,"score_gpt":0.2696274415755856,"score_spread":0.2534287748148422,"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."}}