{"id":"W7133270788","doi":"","title":"2020 assessment of NL Atlantic salmon","year":2022,"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":"","keywords":"Fishing; Fish <Actinopterygii>; Commercial fishing; Mark and recapture; Hydrology (agriculture); West coast","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":[0.001469768,0.0003516935,0.0001526165,0.001333454,0.0003485896,0.0005940067,0.0004653408,0.0002713949,0.001980016],"category_scores_gemma":[0.0009013471,0.0001829515,0.0002536408,0.0004889071,0.000190466,0.0004468867,0.0005748807,0.0002343904,0.001091873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549983,"about_ca_system_score_gemma":0.001717662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1469561,"about_ca_topic_score_gemma":0.3465323,"domain_scores_codex":[0.9995159,0.00004536358,0.00003242942,0.00005922245,0.0002834583,0.00006369293],"domain_scores_gemma":[0.9991068,0.00003122419,0.0001250621,0.00001900268,0.000589936,0.0001279207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001731398,0.00007349141,0.9320136,0.00008160461,0.00007212145,0.0001508215,0.0002019343,0.003268541,0.005378047,0.0001835321,0.003693668,0.05470937],"study_design_scores_gemma":[0.00001049539,0.0003915101,0.9740283,0.00004053049,0.00004308026,0.00008875294,0.0004965883,0.006652521,0.002660478,0.0001102641,0.0154569,0.00002065512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.961768,0.000486185,0.003869194,0.0002398103,0.00002717304,0.0001395427,0.009051748,0.0002214883,0.02419685],"genre_scores_gemma":[0.9520282,0.000493437,0.004950681,0.0002312834,0.00001348056,0.0001481366,0.02168505,0.00003029342,0.02041942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8530439,"threshold_uncertainty_score":0.2922014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008125102132033239,"score_gpt":0.2502798958626344,"score_spread":0.2421547937306011,"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."}}