{"id":"W2523074579","doi":"10.1111/faf.12184","title":"Strong fisheries management and governance positively impact ecosystem status","year":2016,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Memorial University of Newfoundland; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Environmental resource management; Fisheries management; Business; Corporate governance; Ecosystem-based management; Ecosystem; Ecosystem services; Fishery; Ecosystem health; Ecosystem management; Fishing; Management by objectives; Environmental planning; Geography; Ecology; Environmental science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719599,0.0002427919,0.0002477177,0.001172177,0.0004743363,0.001373496,0.0002579489,0.0003405238,0.007656333],"category_scores_gemma":[0.00885188,0.0001245948,0.0002985892,0.0008139893,0.0008104024,0.001008676,0.001256376,0.000373771,0.0003791647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005572328,"about_ca_system_score_gemma":0.0004842466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002490724,"about_ca_topic_score_gemma":0.005864391,"domain_scores_codex":[0.998566,0.0005837554,0.0001331055,0.0001903824,0.000302546,0.000224249],"domain_scores_gemma":[0.9814277,0.006305665,0.007307368,0.0007945439,0.00173956,0.002425044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003808247,0.00009767743,0.9928703,0.00003566072,0.0001165468,0.00007281498,0.0001835729,0.0002801645,0.0003471022,0.0002842233,0.0002823217,0.005391581],"study_design_scores_gemma":[0.000001524725,0.00002874357,0.998774,0.0000166192,0.00002107339,0.00002053258,0.0003124714,0.0003274263,0.00008388155,0.0002111627,0.0002001309,0.000002514576],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911709,0.0001387584,0.0002526423,0.0002953732,0.000009434822,0.00001265392,0.0001101712,0.00000708169,0.008002821],"genre_scores_gemma":[0.9995754,0.00003560583,0.00007866517,0.00002040077,0.000005389432,0.000002841212,0.00003182258,0.00000113959,0.000248839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007656333,"threshold_uncertainty_score":0.02561301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009629693101557781,"score_gpt":0.2177601920810531,"score_spread":0.2081304989794953,"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."}}