{"id":"W2792959175","doi":"10.1002/mcf2.10006","title":"Fishermen's Historical Knowledge Leads to a Re-Evaluation of Redfish Catch","year":2018,"lang":"en","type":"article","venue":"Marine and Coastal Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishery; Fishing; Sebastes; Discards; Stock (firearms); Geography; Population; Fish <Actinopterygii>; Context (archaeology); Fish stock; Stock assessment; Biology; Demography; Archaeology; Sociology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01063349,0.000209375,0.0001807768,0.00285412,0.001919137,0.001945977,0.001114345,0.0003472635,0.001904863],"category_scores_gemma":[0.02416609,0.0002080548,0.0001792815,0.001418807,0.002092665,0.002959307,0.001438379,0.0007835765,0.0001542395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00836895,"about_ca_system_score_gemma":0.004984974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4367795,"about_ca_topic_score_gemma":0.6830272,"domain_scores_codex":[0.9968399,0.001097993,0.0002302483,0.0003101848,0.001038241,0.0004834054],"domain_scores_gemma":[0.9806278,0.005751052,0.003372107,0.001204979,0.008408953,0.0006350621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008440798,0.00002902219,0.7128061,0.0003421044,0.00007157896,0.001112329,0.1688117,0.0005950026,0.00135913,0.002609474,0.004530797,0.1076483],"study_design_scores_gemma":[0.00000272607,0.00004508364,0.6523312,0.0007393854,0.00007088087,0.0003257061,0.3135335,0.001070173,0.0008326871,0.001141811,0.02986152,0.00004533335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687373,0.002285017,0.001293615,0.004879816,0.00007514703,0.00002912168,0.0002794667,0.00001360312,0.02240681],"genre_scores_gemma":[0.997849,0.0006921794,0.0003556848,0.0001633895,0.00001129695,0.000006300123,0.00005996941,0.000002010517,0.0008603192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4367795,"threshold_uncertainty_score":0.8684742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412373312985462,"score_gpt":0.2767735623255779,"score_spread":0.2426498291957233,"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."}}