{"id":"W2911577011","doi":"10.20950/1678-2305.2019.45.1.412","title":"ECONOMIC POTENTIAL OF THE BRAZILIAN MARINE RECREATIONAL FISHERY","year":2019,"lang":"en","type":"article","venue":"Boletim do Instituto de Pesca","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Fishery; Recreation; Recreational fishing; Geography; Shore; Agricultural economics; Environmental science; Economics; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005932288,0.0002032478,0.000210385,0.002156094,0.0004828122,0.001218406,0.000289111,0.0001693087,0.005427253],"category_scores_gemma":[0.003188714,0.0001044339,0.000276455,0.002698553,0.0004151333,0.0005614012,0.000688694,0.0001930406,0.0004124974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408097,"about_ca_system_score_gemma":0.0008258786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09324194,"about_ca_topic_score_gemma":0.1387129,"domain_scores_codex":[0.9996817,0.00006375267,0.00001979638,0.00002986233,0.0001175019,0.00008742834],"domain_scores_gemma":[0.999062,0.0002053759,0.0002216304,0.00004518645,0.0002846562,0.0001811762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001665392,0.00007729717,0.814765,0.0006629815,0.0001631242,0.001456818,0.002474806,0.002849226,0.002058999,0.02795384,0.008333431,0.1390379],"study_design_scores_gemma":[0.000004290243,0.00003736228,0.9373745,0.0003224753,0.00004711068,0.0006000383,0.002988358,0.002101187,0.0001978129,0.001987627,0.05431807,0.00002118416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647271,0.006117205,0.0007815611,0.002753872,0.00003405456,0.0000369206,0.005032583,0.00002712859,0.1204896],"genre_scores_gemma":[0.9933462,0.002096582,0.0003388455,0.00003799648,0.00001349905,0.00001164222,0.0007502493,0.000008543255,0.003396443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09324194,"threshold_uncertainty_score":0.1853984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001804817436160796,"score_gpt":0.1615255894325092,"score_spread":0.1597207719963484,"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."}}