{"id":"W7133286893","doi":"","title":"Science response: evaluation of upper stock reference point options for Pacific herring","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":"","keywords":"Herring; Stock (firearms); Stock assessment; Fell; Fish stock; Biomass (ecology); 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":[0.01229371,0.0005410092,0.0006965164,0.001249946,0.0005854504,0.001812463,0.001235454,0.001151623,0.01441476],"category_scores_gemma":[0.04348124,0.0002253132,0.0006481311,0.0008453763,0.0005012039,0.001302773,0.0007826027,0.000748575,0.0009131173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002941886,"about_ca_system_score_gemma":0.002286835,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02851346,"about_ca_topic_score_gemma":0.02587156,"domain_scores_codex":[0.9965084,0.00163906,0.0001897629,0.0002204567,0.00131607,0.0001262425],"domain_scores_gemma":[0.9750718,0.0153938,0.0007893107,0.0008321468,0.007171156,0.0007418006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02095449,0.004088614,0.07910766,0.001277181,0.000460474,0.0005859406,0.000470274,0.3416857,0.006260553,0.01111515,0.04488583,0.4891082],"study_design_scores_gemma":[0.004564458,0.02983588,0.06487118,0.0003678527,0.0006612524,0.0002484905,0.001858704,0.842586,0.01119973,0.008687026,0.03491654,0.0002027471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9283922,0.001576573,0.01257968,0.003387986,0.0002369613,0.001784674,0.002972889,0.0005576717,0.04851148],"genre_scores_gemma":[0.9798961,0.0004753156,0.009983681,0.0005260702,0.00005635742,0.0004185096,0.001601534,0.0000491598,0.006993297],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9714866,"threshold_uncertainty_score":0.06501615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03254059030126793,"score_gpt":0.2996965090228833,"score_spread":0.2671559187216153,"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."}}