{"id":"W4302595471","doi":"10.1111/faf.12697","title":"Focusing on what matters most: Evaluating multiple challenges to stability in recreational fisheries","year":2022,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation of Sri Lanka; Freshwater Fisheries Society of British Columbia","keywords":"Fishing; Recreation; Fishery; Population; Fish stock; Fisheries management; Population dynamics of fisheries; Recreational fishing; Stock (firearms); Stock assessment; Geography; Ecology; Fish <Actinopterygii>; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007805317,0.0006116833,0.0008082372,0.001424692,0.001021017,0.003762873,0.0008018311,0.001634876,0.002596417],"category_scores_gemma":[0.05048241,0.0003278292,0.0007657866,0.001237271,0.002287667,0.003821876,0.002219879,0.0009570221,0.0001510794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296994,"about_ca_system_score_gemma":0.001274157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004710332,"about_ca_topic_score_gemma":0.007093244,"domain_scores_codex":[0.9957908,0.002412854,0.0002841335,0.0006664749,0.0005471158,0.0002986131],"domain_scores_gemma":[0.9486572,0.0361467,0.007978405,0.001376526,0.003299461,0.002541738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001451052,0.0005511311,0.8396394,0.0005952989,0.0007252083,0.0003524949,0.001420472,0.09367371,0.004690719,0.006285562,0.000940307,0.04967471],"study_design_scores_gemma":[0.00008325613,0.002993595,0.5663268,0.0002840526,0.0005039769,0.0002155617,0.009965098,0.3780137,0.004374472,0.03556896,0.001470247,0.0002003883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896663,0.0002718802,0.006648979,0.0005151322,0.00001616211,0.00007491637,0.0001364255,0.0000223248,0.0026479],"genre_scores_gemma":[0.9985116,0.00002871145,0.001273471,0.00002964079,0.000009389503,0.00002691823,0.00003251904,0.000004552408,0.00008302966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007805317,"threshold_uncertainty_score":0.04127896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04916362419406999,"score_gpt":0.2470694679699716,"score_spread":0.1979058437759016,"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."}}