{"id":"W2510616720","doi":"10.1111/fme.12191","title":"Recommendations for the future of recreational fisheries to prepare the social‐ecological system to cope with change","year":2016,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Recreation; Fisheries law; Fisheries management; Corporate governance; Fishing; Business; Fisheries science; Scale (ratio); Environmental resource management; Fishery; Environmental planning; Recreational fishing; Adaptive management; Agriculture; Geography; Political science; Economics","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":[0.0002854175,0.0001215049,0.00016577,0.00002538013,0.0008269694,0.00002031932,0.0002518977,0.00005056555,0.001205363],"category_scores_gemma":[0.0000213664,0.00005689234,0.00002900232,0.0001538216,0.000296818,0.0001264108,0.0005400272,0.00002924315,0.00003046077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007505991,"about_ca_system_score_gemma":0.000002404503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001508221,"about_ca_topic_score_gemma":0.009564152,"domain_scores_codex":[0.9991747,0.00005741838,0.0001654227,0.0002664273,0.00008879809,0.0002472442],"domain_scores_gemma":[0.9994465,0.0002608434,0.0000809253,0.0001621426,0.00001826406,0.00003129326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002012676,0.00004234595,0.1765313,0.00004130506,0.0001512816,0.000001298574,0.001376334,0.00000488574,0.000001233786,0.01042757,0.7964405,0.01478062],"study_design_scores_gemma":[0.0001801118,0.0002462547,0.5295442,0.000006468403,0.00004329346,6.329834e-7,0.003697346,0.000004207673,0.000001269086,0.0001274292,0.4660895,0.00005934167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1930753,0.00003384357,0.001966001,0.7587369,0.0009865691,0.005800124,0.0001012381,0.0001086357,0.03919142],"genre_scores_gemma":[0.9598287,0.0002889075,0.002802455,0.01167043,0.0002812495,0.007410925,0.0000197348,0.00001964591,0.01767794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7667534,"threshold_uncertainty_score":0.9997077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256072712241363,"score_gpt":0.2340579071569414,"score_spread":0.2084506359328051,"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."}}