{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004940582,0.0002064851,0.0002904812,0.000039214,0.001175044,0.0004935765,0.0001870727,0.0001036303,0.001886054],"category_scores_gemma":[0.0001825179,0.000183867,0.0000308139,0.0002984088,0.0007804947,0.0004286382,0.001431692,0.0001609588,0.00001628424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006973083,"about_ca_system_score_gemma":0.00001718816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001211132,"about_ca_topic_score_gemma":0.0001663674,"domain_scores_codex":[0.9979492,0.0001311955,0.0002710962,0.0005187863,0.0003484776,0.000781178],"domain_scores_gemma":[0.9994094,0.00008832165,0.00006788332,0.0001664745,0.00007928241,0.0001886464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002914069,0.0001868736,0.6660209,0.000509828,0.0000852412,0.00003211026,0.01377297,0.000004366536,0.0007296719,0.002271146,0.2566514,0.05944408],"study_design_scores_gemma":[0.0004306501,0.000691877,0.1967001,0.000004817181,0.00001646272,0.00002687812,0.02008003,0.001399498,0.00003064279,0.0003356721,0.7799293,0.0003540516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6823524,0.0000124684,0.000117993,0.001200309,0.00004607702,0.000536445,0.00001173307,0.0000597643,0.3156629],"genre_scores_gemma":[0.9792705,0.000031539,0.003349268,0.001904901,0.000337912,0.000290939,0.00002929669,0.00003448397,0.01475112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5232779,"threshold_uncertainty_score":0.9990264,"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."}}