{"id":"W1973350069","doi":"10.1371/journal.pone.0040542","title":"Benefits of Rebuilding Global Marine Fisheries Outweigh Costs","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"InStream Fisheries Research (Canada); University of British Columbia; Fisheries and Oceans Canada","funders":"University of British Columbia; Pew Charitable Trusts","keywords":"Overfishing; Fishery; Natural resource economics; Subsidy; Business; Great barrier reef; Fisheries management; Resource (disambiguation); Marine conservation; Recreational fishing; Cost–benefit analysis; Fishing; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001685154,0.00008979084,0.0001595621,0.00001210412,0.00005547327,0.00001565639,0.0002106838,0.00004945462,0.01799694],"category_scores_gemma":[0.0001036105,0.0000843267,0.00002958907,0.0002180117,0.0001351725,0.0003043475,0.0007206381,0.00008671278,0.0001844816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410589,"about_ca_system_score_gemma":0.000004437323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118539,"about_ca_topic_score_gemma":0.000156667,"domain_scores_codex":[0.9988242,0.00002568136,0.0001565248,0.0001405374,0.0004941497,0.0003589445],"domain_scores_gemma":[0.9995291,0.00002874302,0.00004586735,0.0002425149,0.00001297848,0.0001407828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000245512,0.0004981073,0.9767891,0.0000230245,0.00002783732,4.504636e-7,0.00005714383,0.000001684879,0.0007915659,0.0003246151,0.0007197335,0.02074219],"study_design_scores_gemma":[0.0002156421,0.0001058596,0.9849306,0.00001627223,0.00002608364,0.000001912182,0.00004082954,0.00008171766,0.008517819,0.0001456485,0.005759554,0.0001580591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6276936,0.00001392891,0.000004459762,0.000183957,0.00001839865,0.0000864861,0.000009121208,0.00001720304,0.3719728],"genre_scores_gemma":[0.9936935,0.00008785196,0.003329576,0.0000776903,0.00008553655,0.0000133667,0.00001022784,0.000009664357,0.00269256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3692803,"threshold_uncertainty_score":0.9829007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04479263572585394,"score_gpt":0.2369213318278681,"score_spread":0.1921286961020142,"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."}}