{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001255276,0.0002211985,0.0002158384,0.00001944845,0.000205306,0.0001863216,0.0001528121,0.00006818608,0.006641314],"category_scores_gemma":[0.00003169386,0.0001486882,0.00004465376,0.0001210853,0.0003742342,0.0008073369,0.000551107,0.00008898582,0.00003261133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321813,"about_ca_system_score_gemma":0.000009221876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005972091,"about_ca_topic_score_gemma":0.0009893549,"domain_scores_codex":[0.9984502,0.00004841905,0.0001963793,0.0004291951,0.0003071998,0.0005685915],"domain_scores_gemma":[0.9993767,0.00006361929,0.0000678873,0.0002357105,0.00001125085,0.0002448752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001039967,0.00001896378,0.8402084,0.00003630207,0.00003607664,0.00002829844,0.0001772612,1.825982e-7,0.0000709512,0.0001876598,0.02738413,0.1317478],"study_design_scores_gemma":[0.0003864537,0.0001508576,0.6601506,0.00001648425,0.000007717879,0.00001358133,0.0001668483,0.00001975518,0.0000558543,0.0001399335,0.3387073,0.0001845067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.719665,0.00003761299,0.0001163136,0.001984277,0.00006738698,0.0002689022,0.0002710442,0.0000546568,0.2775348],"genre_scores_gemma":[0.9811799,0.001638713,0.0003814339,0.0002416607,0.00004846501,0.00004937753,0.0000101288,0.00002532355,0.01642498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3113232,"threshold_uncertainty_score":0.9942667,"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."}}