{"id":"W7133283255","doi":"","title":"Science response : stock status indictors of Atlantic salmon","year":2023,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Stock (firearms); Fishing; Fisheries management; Juvenile; Harbour; Marine fisheries; Fish stock","routes":{"ca_aff":false,"ca_fund":true,"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":[0.003336144,0.0006263249,0.0006003146,0.002827406,0.002692459,0.002754125,0.001723672,0.006215767,0.1111738],"category_scores_gemma":[0.01823898,0.0005316138,0.000739388,0.00245951,0.0006927744,0.0009964824,0.001744833,0.003638961,0.09480976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005960051,"about_ca_system_score_gemma":0.02201666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2321769,"about_ca_topic_score_gemma":0.3143132,"domain_scores_codex":[0.9960214,0.0002542622,0.0002272452,0.0002409364,0.002800497,0.0004556216],"domain_scores_gemma":[0.9572994,0.002887387,0.000938884,0.001048072,0.03503493,0.002791312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008261862,0.000004734643,0.0001467237,0.00001979885,8.161703e-7,0.00001021952,0.000004587122,0.000007030586,0.00003014941,0.00006175088,0.9979438,0.001762094],"study_design_scores_gemma":[0.00001900338,0.00001379882,0.002233261,0.0000694757,0.000004544348,0.00001280213,0.00007030338,0.00004524774,0.0001240017,0.0001427093,0.9972535,0.00001138747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002438902,0.001363786,0.001151369,0.3835019,0.1138753,0.001671118,0.1439912,0.003404576,0.3486018],"genre_scores_gemma":[0.008126598,0.002244473,0.00192835,0.1959789,0.01605654,0.001098454,0.06817149,0.0008391551,0.7055562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7678231,"threshold_uncertainty_score":0.4616509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063280171418256,"score_gpt":0.2479506735779197,"score_spread":0.2373178718637372,"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."}}