{"id":"W2810969240","doi":"10.1111/faf.12296","title":"Evaluating and implementing social–ecological systems: A comprehensive approach to sustainable fisheries","year":2018,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Ottawa; Memorial University of Newfoundland; Maritime Fishermen's Union; Université de Moncton; Saint Mary's University; University of British Columbia; Fisheries and Oceans Canada; Government of New Brunswick; Canadian Respiratory Research Network; Victoria Heart Institute Foundation; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Fisheries management; Business; Corporate governance; Environmental resource management; Balanced scorecard; Fisheries law; Legislation; Environmental planning; Fishery; Process management; Ecology; Economics; Geography; Political science; Fishing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.04674488,0.002034632,0.001677775,0.01515902,0.00557346,0.01834017,0.00272356,0.002088523,0.003099766],"category_scores_gemma":[0.02512775,0.0007174781,0.001204493,0.01035646,0.01697519,0.00940618,0.009835775,0.002750303,0.0002389376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02839036,"about_ca_system_score_gemma":0.05169636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04020431,"about_ca_topic_score_gemma":0.07586884,"domain_scores_codex":[0.9533817,0.03482806,0.001937643,0.001187603,0.007297279,0.001367707],"domain_scores_gemma":[0.9762088,0.01364749,0.001768405,0.001476262,0.005450364,0.001448689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000174781,0.0001815577,0.004940563,0.0009217155,0.0001967496,0.0002068928,0.004422146,0.04109283,0.0004460569,0.824785,0.005374138,0.1174148],"study_design_scores_gemma":[0.00003186857,0.0001902645,0.004173387,0.002360137,0.0001515128,0.00009536928,0.0150843,0.04879594,0.001014712,0.8724962,0.05552539,0.00008099777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06289224,0.01111288,0.6187457,0.03352986,0.0003367176,0.003295674,0.0006466153,0.000537136,0.2689033],"genre_scores_gemma":[0.5740509,0.004164675,0.4167118,0.0007839436,0.0001138931,0.00111128,0.0002428093,0.00005651876,0.002764198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04674488,"threshold_uncertainty_score":0.2472135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06290405995293818,"score_gpt":0.3135059423649899,"score_spread":0.2506018824120517,"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."}}