{"id":"W4211094295","doi":"10.1111/faf.12645","title":"Dissecting co‐management: Fisher participation across management components and implications for governance","year":2022,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Fisheries management; Stewardship (theology); Corporate governance; Environmental resource management; Management by objectives; Business; Ecosystem management; Marine protected area; Ecosystem-based management; Enforcement; Dimension (graph theory); Management process; Government (linguistics); Fishery; Environmental planning; Process management; Management system; Ecosystem; Ecology; Operations management; Geography; Economics; Political science; Marketing; Habitat; Fishing; Biology","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":[0.01631436,0.0002118026,0.0002729063,0.002972174,0.004105644,0.004235375,0.0008576245,0.0005655551,0.002082378],"category_scores_gemma":[0.03266622,0.0001932957,0.000191546,0.00214622,0.008247748,0.002801201,0.006240091,0.0008120965,0.00006921279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009656399,"about_ca_system_score_gemma":0.01104598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1572494,"about_ca_topic_score_gemma":0.3186407,"domain_scores_codex":[0.989885,0.00560147,0.0004125423,0.0007479165,0.001757559,0.0015955],"domain_scores_gemma":[0.9758775,0.01431684,0.003658668,0.001148815,0.002708602,0.002289488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009559005,0.0001134764,0.6418949,0.0001200531,0.00004614448,0.0002177626,0.2904127,0.0003548155,0.0008169322,0.0180265,0.001127557,0.04677365],"study_design_scores_gemma":[0.000005819197,0.00004392877,0.4981325,0.0001853431,0.00001577713,0.00005089784,0.4915828,0.0008191207,0.0001892277,0.005411032,0.003548936,0.0000146512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816017,0.0001729946,0.001257509,0.00246768,0.00001384065,0.00005680856,0.00002803822,0.000003221314,0.01439828],"genre_scores_gemma":[0.9993762,0.00003865783,0.000239247,0.0000599738,0.00000267388,0.00002044805,0.000008480473,9.903172e-7,0.0002534489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1572494,"threshold_uncertainty_score":0.3126683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259206344826409,"score_gpt":0.2584587262936686,"score_spread":0.2358666628454045,"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."}}