{"id":"W4297997803","doi":"10.3389/fmars.2022.971262","title":"“The people’s fish”: Sociocultural dimensions of recreational fishing for Atlantic mackerel in Nova Scotia","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Ocean Frontier Institute; Nippon Foundation; Ocean Nexus Center, EarthLab, University of Washington; Killam Trusts","keywords":"Fishing; Fishery; Mackerel; Recreation; Fisheries management; Stewardship (theology); Nova scotia; Catch and release; Recreational fishing; Stock (firearms); Fish stock; Geography; Scomber; Indigenous; Stock assessment; Business; Fish <Actinopterygii>; Political science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000913622,0.0001745265,0.0001368248,0.0005094288,0.002247545,0.001173342,0.0002936437,0.0003197957,0.001741843],"category_scores_gemma":[0.001599523,0.0001345717,0.0001528521,0.0004148918,0.001719292,0.0005358091,0.001540871,0.0006322538,0.0001279954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003766719,"about_ca_system_score_gemma":0.003426159,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6115411,"about_ca_topic_score_gemma":0.8722426,"domain_scores_codex":[0.9996246,0.0001124297,0.00002285745,0.00004890927,0.00007581474,0.000115381],"domain_scores_gemma":[0.9988365,0.0003072375,0.0003194438,0.00003818386,0.0001870389,0.0003116451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007033334,0.00007497369,0.6773239,0.0001445556,0.00002457609,0.0007694488,0.3047788,0.00004703821,0.002247452,0.0002398942,0.001282531,0.01299649],"study_design_scores_gemma":[0.000002014938,0.00004879043,0.6582907,0.0000710645,0.000005831427,0.00008225596,0.3391461,0.00004752512,0.00008746504,0.00002544293,0.002182614,0.00001022405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986467,0.00004314231,0.00001916405,0.0001705752,0.00000529021,0.00001093794,0.00005734487,4.973075e-7,0.001046436],"genre_scores_gemma":[0.9988404,0.0001210912,0.00006710105,0.0001447873,0.000004567041,0.00001962194,0.00005350568,0.000001250986,0.0007478239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3884589,"threshold_uncertainty_score":0.7814932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008266906218482677,"score_gpt":0.2203703962780377,"score_spread":0.2121034900595551,"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."}}