{"id":"W3035813914","doi":"10.5751/es-11602-250222","title":"Determining management preferences in a multimethod consumptive recreational fishery","year":2020,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreational fishing; Recreation; Fisheries management; Fishery; Geography; Environmental resource management; Business; Ecology; Biology; Fishing; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001500872,0.00006146092,0.0001095218,0.000001801454,0.00009608205,0.000008375684,0.00006510121,0.0001513664,0.0004019828],"category_scores_gemma":[0.00003224393,0.00002650062,0.00003188616,0.00007785575,0.000134634,0.00003963208,0.00005536801,0.0001326734,0.000009425816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006159466,"about_ca_system_score_gemma":0.000003946456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007084255,"about_ca_topic_score_gemma":0.00004841531,"domain_scores_codex":[0.9994459,0.0001001862,0.0001069782,0.0001891321,0.00002926032,0.000128591],"domain_scores_gemma":[0.9995698,0.0003347511,0.00003312436,0.00001116547,0.00000812936,0.00004307329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004912372,0.00009032532,0.7719405,0.00002292437,0.00008501933,0.00001380073,0.003660821,0.000007390999,0.004199439,0.0008650879,0.002119927,0.2169457],"study_design_scores_gemma":[0.000210197,0.0002329732,0.9929204,0.000007959241,0.000006617913,0.00000230903,0.0021878,0.000775946,0.0001060356,0.0006081408,0.002858365,0.00008324134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995653,0.00003697327,0.000005802926,0.002768188,0.00003338231,0.0001024144,0.000007454051,0.00001576536,0.001377009],"genre_scores_gemma":[0.9956764,0.0001019647,0.001944064,0.002088153,0.00005667534,0.00001990464,0.00001684168,2.187459e-7,0.00009575745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2209799,"threshold_uncertainty_score":0.440143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06893126569491946,"score_gpt":0.2615786593125961,"score_spread":0.1926473936176766,"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."}}