{"id":"W2001272660","doi":"10.1111/fme.12008","title":"Resilient recreational fisheries or prone to collapse? A decade of research on the science and management of recreational fisheries","year":2012,"lang":"en","type":"article","venue":"Fisheries Management and Ecology","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Habitat Conservation Trust Foundation; Freshwater Fisheries Society of British Columbia; Alberta Conservation Association","keywords":"Fishing; Fishery; Recreation; Fisheries management; Recreational fishing; Context (archaeology); Fisheries science; Psychological resilience; Resilience (materials science); Catch and release; Geography; Commercial fishing; Environmental resource management; Natural resource economics; Business; Environmental planning; Ecology; Environmental science; Economics; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002256734,0.00018829,0.0002663947,0.0002077865,0.0008482944,0.00004247833,0.0003976253,0.00006740892,0.002168525],"category_scores_gemma":[0.0002176244,0.0001365857,0.00002369456,0.0009711662,0.003212526,0.0003853971,0.001809743,0.0001193388,0.00003434174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568471,"about_ca_system_score_gemma":0.00001690369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004861163,"about_ca_topic_score_gemma":0.0009192693,"domain_scores_codex":[0.9977404,0.0001484295,0.0003566787,0.0004600516,0.0006928725,0.000601568],"domain_scores_gemma":[0.9989923,0.0003884465,0.0001025089,0.0003295958,0.00007702142,0.0001101255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008544785,0.0003476141,0.6463042,0.0003317689,0.0002169957,0.00000860818,0.001789342,0.00002859882,0.00004568656,0.05627968,0.2909885,0.002804498],"study_design_scores_gemma":[0.0003260373,0.000543571,0.916864,0.00005612548,0.00004548439,0.000002243581,0.004372973,0.00001776158,0.0002414345,0.001070004,0.0763213,0.0001390912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.821815,0.00003315451,0.00001753362,0.01211813,0.0002005325,0.001528891,0.00001024968,0.00002211326,0.1642545],"genre_scores_gemma":[0.9761479,0.001190331,0.003165596,0.0009245249,0.000036389,0.000838725,0.000007784684,0.00001529232,0.0176734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2705597,"threshold_uncertainty_score":0.9995002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300821715397406,"score_gpt":0.2945258936080826,"score_spread":0.2415176764541086,"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."}}