{"id":"W7133284471","doi":"","title":"4VWX Herring Stock Status Update","year":2025,"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; Nova scotia; Fishing; Stock (firearms); Submarine pipeline; Fish stock; Fisheries management","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":[0.0007579564,0.0004003877,0.0002376167,0.003989221,0.0008335714,0.001291243,0.0008250339,0.0006330832,0.08384633],"category_scores_gemma":[0.002221883,0.0002086757,0.0003130751,0.002349029,0.0001257863,0.000667589,0.0006969884,0.0004934834,0.03351847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002412764,"about_ca_system_score_gemma":0.004408633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.38172,"about_ca_topic_score_gemma":0.4543912,"domain_scores_codex":[0.9989956,0.0000279901,0.00006247929,0.00003943054,0.000788487,0.00008591494],"domain_scores_gemma":[0.9964733,0.00007083527,0.0001633766,0.0001192925,0.00297307,0.0002001694],"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":[0.00008244612,0.0000547381,0.01100776,0.0001629183,0.000009631811,0.0001119274,0.00009211055,0.0001248661,0.0004343091,0.0005620292,0.8685331,0.1188241],"study_design_scores_gemma":[0.00001333954,0.00002827128,0.03760818,0.0001552095,0.000006871519,0.00006597895,0.0001393936,0.000117235,0.0002903564,0.0001316967,0.9614331,0.00001037377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03416574,0.004297964,0.001218716,0.005209715,0.004771431,0.001171704,0.2493081,0.002081083,0.6977755],"genre_scores_gemma":[0.02994406,0.003618615,0.00259916,0.001382161,0.0004056469,0.00041693,0.2190001,0.0002123363,0.7424209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6182801,"threshold_uncertainty_score":0.7589962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008151459777482356,"score_gpt":0.2405522790266043,"score_spread":0.2324008192491219,"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."}}