{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004843543,0.00013116,0.0001580484,0.00004120094,0.0005585111,0.00006534054,0.0001220153,0.00002914202,0.003191104],"category_scores_gemma":[0.0001719482,0.0001386995,0.00001988188,0.0001543144,0.0001586539,0.0005071771,0.0005989732,0.0001374985,0.00001389755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001509796,"about_ca_system_score_gemma":0.000005786353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645875,"about_ca_topic_score_gemma":0.008911041,"domain_scores_codex":[0.9988078,0.0001318997,0.0001752143,0.0003900887,0.0002409716,0.0002540172],"domain_scores_gemma":[0.9995427,0.000208288,0.00004614559,0.000151437,0.000005749818,0.00004574695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002874032,0.0001649356,0.8598775,0.00003806494,0.00002286386,0.00001102942,0.01131272,0.0006381979,0.00008539422,0.0000664891,0.08478905,0.04270631],"study_design_scores_gemma":[0.0003462552,0.000352614,0.9236969,0.00001868833,0.000006286478,0.000001565991,0.01394094,0.0002067696,0.00005812573,0.0006749682,0.06050527,0.0001915702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183382,0.00005311826,0.000006091852,0.07268391,0.0002163841,0.0003531356,0.00001708263,0.00003643356,0.008295666],"genre_scores_gemma":[0.9779319,0.0003811919,0.0006652881,0.01999225,0.00003117841,0.0004725469,0.00002417273,0.00001550119,0.0004859292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0638194,"threshold_uncertainty_score":0.9977201,"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."}}