{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111644,0.0007919416,0.0004297165,0.0007021573,0.0007143939,0.002510836,0.0004220812,0.001149995,0.01901797],"category_scores_gemma":[0.005133714,0.0002632519,0.0009045145,0.000695751,0.0008504308,0.003763685,0.002818481,0.001044129,0.002999718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405644,"about_ca_system_score_gemma":0.002326916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003602153,"about_ca_topic_score_gemma":0.009571591,"domain_scores_codex":[0.9989919,0.000171436,0.00004578247,0.000109143,0.0003557976,0.0003259637],"domain_scores_gemma":[0.998019,0.0004734885,0.0003706856,0.0002262807,0.0004454356,0.0004651253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009080812,0.000360027,0.06358445,0.001928447,0.0004650331,0.002181761,0.0006692522,0.02631864,0.02686376,0.1017886,0.02938613,0.7455458],"study_design_scores_gemma":[0.0001429197,0.001339605,0.4014699,0.001835351,0.001137743,0.005932361,0.006942463,0.01443547,0.01786475,0.1158536,0.4328692,0.0001766183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5511946,0.009436651,0.02598314,0.02724832,0.0009858609,0.0001894026,0.001625793,0.0005259276,0.3828102],"genre_scores_gemma":[0.9655924,0.003167473,0.008798586,0.001632252,0.0003193133,0.00005974386,0.000446795,0.0001071425,0.01987631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01901797,"threshold_uncertainty_score":0.0636214,"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."}}