{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000663396,0.0002089835,0.0001795092,0.0003394283,0.0004990884,0.000441074,0.0002019872,0.0003001653,0.002205948],"category_scores_gemma":[0.001172288,0.0001281204,0.0001566477,0.0002134467,0.0002043535,0.0003351053,0.0004098696,0.0002533416,0.000347326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003433835,"about_ca_system_score_gemma":0.0002601443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007456054,"about_ca_topic_score_gemma":0.04459198,"domain_scores_codex":[0.9997761,0.00006909557,0.00001496853,0.00005116983,0.00004954647,0.0000391142],"domain_scores_gemma":[0.9994051,0.000125517,0.0002179604,0.00002913509,0.00007363797,0.0001486159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007338477,0.0004142797,0.9341363,0.00003310639,0.00006852338,0.0001726183,0.0007181678,0.0002342048,0.03100684,0.0000570831,0.0004610504,0.03196409],"study_design_scores_gemma":[0.000006750676,0.0004430399,0.9954535,0.00001405196,0.00001978335,0.000153791,0.001164275,0.0009290549,0.001305289,0.0001005121,0.0003989575,0.00001102968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995874,0.00003026339,0.00006926903,0.00002380022,0.000001084371,0.000003310312,0.00002061931,7.550714e-7,0.0002635426],"genre_scores_gemma":[0.9976471,0.0000827128,0.001062092,0.0001191722,0.00000246826,0.0000185552,0.00009200242,0.000002510882,0.000973278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007456054,"threshold_uncertainty_score":0.01482534,"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."}}