{"id":"W2796148420","doi":"10.1002/fsh.10017","title":"Genetic Mixture Analysis Supports Recalibration of the Fishery Regulation Assessment Model","year":2018,"lang":"en","type":"article","venue":"Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northwest Fisheries Science Center; NOAA Research; Washington Department of Fish and Wildlife","keywords":"Chinook wind; Oncorhynchus; Stock (firearms); Fishery; Limiting; Fisheries management; Fish stock; Environmental science; Geography; Biology; Fish <Actinopterygii>; Fishing; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007795127,0.0006746263,0.000541352,0.0008625305,0.0007447213,0.001396172,0.001017105,0.0004929235,0.001653225],"category_scores_gemma":[0.02956344,0.0003724172,0.0007305632,0.0003114913,0.0005066955,0.001231243,0.001103992,0.001491381,0.0004369887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173577,"about_ca_system_score_gemma":0.001753196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03438412,"about_ca_topic_score_gemma":0.02287821,"domain_scores_codex":[0.9976815,0.00137791,0.0001005516,0.0004574159,0.000250306,0.000132303],"domain_scores_gemma":[0.9882004,0.00866211,0.0007771596,0.0008104575,0.001328159,0.000221802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003246094,0.0001369853,0.05448826,0.00001598428,0.0002417283,0.0001058882,0.000142937,0.8584545,0.001799337,0.0151425,0.001712262,0.06743506],"study_design_scores_gemma":[0.000007715979,0.00001281757,0.001828998,0.000002633477,0.00001409953,0.000006769526,0.000006511245,0.9960299,0.0002331023,0.001680838,0.0001721402,0.00000458091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3193567,0.00004834596,0.6723551,0.0007906012,0.00004564583,0.0001453737,0.0002892879,0.00178538,0.005183525],"genre_scores_gemma":[0.9226009,0.00002150241,0.07526471,0.0001089653,0.00002194192,0.00007307398,0.0003804005,0.00009965442,0.001428684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03438412,"threshold_uncertainty_score":0.06836796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007605855944501806,"score_gpt":0.2126109505137985,"score_spread":0.2050050945692967,"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."}}