{"id":"W3007954275","doi":"10.1111/csp2.174","title":"Recreational shark fishing in Florida: How research and strategic science communication helped to change policy","year":2020,"lang":"en","type":"article","venue":"Conservation Science and Practice","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Threatened species; Stakeholder; Overfishing; Recreation; Wildlife; Commercial fishing; Fishing; Environmental planning; Timeline; Scope (computer science); Environmental resource management; Population; Geography; Citizen science; Stakeholder engagement; Political science; Public relations; Ecology; Sociology","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":[0.03422758,0.0005844585,0.000342611,0.003161329,0.02068203,0.01150648,0.002235297,0.005197589,0.008615931],"category_scores_gemma":[0.04061208,0.000530599,0.0006627445,0.002065329,0.008994469,0.01129713,0.009994515,0.007314669,0.0006343382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02303109,"about_ca_system_score_gemma":0.03470172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05927981,"about_ca_topic_score_gemma":0.1222484,"domain_scores_codex":[0.978552,0.01550658,0.0002843231,0.00126964,0.001367294,0.003020212],"domain_scores_gemma":[0.9566341,0.02815527,0.002619538,0.001328369,0.004786873,0.006475768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003564962,0.000753882,0.02592057,0.00115153,0.0001350413,0.005573099,0.5896097,0.001613204,0.003345753,0.09142499,0.1002671,0.1798486],"study_design_scores_gemma":[0.00007090617,0.0004435944,0.01284641,0.002773997,0.0001242094,0.000343161,0.5864275,0.002259848,0.001468659,0.02496871,0.3680898,0.0001831475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5064792,0.004276447,0.009274242,0.3751443,0.00142128,0.0005645742,0.0003768386,0.0002298308,0.1022334],"genre_scores_gemma":[0.9580464,0.002855664,0.008294924,0.0228695,0.0001992825,0.000363254,0.0001560893,0.0000914788,0.007123436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05927981,"threshold_uncertainty_score":0.1810149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3485476234493858,"score_gpt":0.4303784006656994,"score_spread":0.0818307772163136,"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."}}