{"id":"W1981410529","doi":"10.1016/j.jort.2014.03.005","title":"Examining the impact of fisheries resources and quality on licence sales","year":2014,"lang":"en","type":"article","venue":"Journal of Outdoor Recreation and Tourism","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Natural Resources and Forestry; Simon Fraser University","funders":"","keywords":"Fishing; Recreation; Business; Population; Stocking; Scale (ratio); Quality (philosophy); Commercial fishing; Fishery; Resource (disambiguation); Geography; Destinations; Environmental resource management; Natural resource; Tourism; Economics; Ecology; Forestry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.001023521,0.00006005855,0.0002027153,0.00006255626,0.00005756232,0.00003422437,0.00005176262,0.00003592889,0.00007043723],"category_scores_gemma":[0.0001581254,0.00004317686,0.00004921514,0.00002630928,0.00006973205,0.0001548113,0.00001401281,0.00007449612,0.00000565052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002896026,"about_ca_system_score_gemma":0.000003806977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001185908,"about_ca_topic_score_gemma":0.000003439948,"domain_scores_codex":[0.9993821,0.00004027757,0.000413685,0.0000799577,0.00002765118,0.00005630233],"domain_scores_gemma":[0.9990585,0.0001600876,0.0006550727,0.00007754508,0.00001093273,0.00003790652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004977429,0.00003058639,0.9859903,0.000008740186,0.00004407145,2.09521e-7,0.001941925,0.000144023,0.000107342,0.004792484,0.0003227367,0.00656777],"study_design_scores_gemma":[0.0003283403,0.0002867638,0.994832,0.00002169409,0.000005176888,0.000005120303,0.0003699608,0.0003901655,0.00006346413,0.002180987,0.001466027,0.00005030943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939885,0.0005270133,0.0003072311,0.0003912069,0.00004623157,0.00003865061,0.000005227257,0.000001735468,0.004694235],"genre_scores_gemma":[0.9986696,0.0006282076,0.0002633744,0.00005251815,0.00009065045,7.920647e-7,0.000001236344,0.000004530173,0.0002891496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008841653,"threshold_uncertainty_score":0.1760701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.135828214562796,"score_gpt":0.2698372005290106,"score_spread":0.1340089859662146,"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."}}