{"id":"W7133270959","doi":"","title":"Atlantic herring NAFO division 4TVn","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":"Université du Québec à Rimouski; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Herring; Fishing; Stock (firearms); Bycatch; Atlantic herring; Stock assessment; Spring (device); Tuna","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002763062,0.0003448188,0.0001585422,0.001061562,0.0007913139,0.0004434004,0.0002926192,0.0002068108,0.0194829],"category_scores_gemma":[0.0003094722,0.0001111699,0.0001914246,0.0006979965,0.0001015765,0.0002921823,0.0003398612,0.000183358,0.006872183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103484,"about_ca_system_score_gemma":0.0007827459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1426012,"about_ca_topic_score_gemma":0.3375563,"domain_scores_codex":[0.9997427,0.00001334624,0.00001805323,0.00005801337,0.0001116788,0.00005631726],"domain_scores_gemma":[0.9997531,0.000009058647,0.00005015929,0.00001325447,0.0001455711,0.00002893119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007548768,0.0002036833,0.4821891,0.0001825551,0.0001010182,0.0007894879,0.0007355145,0.0003012076,0.02215919,0.003034318,0.1589539,0.330595],"study_design_scores_gemma":[0.00004525669,0.0002789219,0.661366,0.0001124237,0.00004830924,0.0004151528,0.0007839677,0.0004290261,0.001359959,0.0003119138,0.3348335,0.00001561417],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5878989,0.001967452,0.001236614,0.0009211741,0.000596914,0.0002313259,0.03876482,0.0003343651,0.3680485],"genre_scores_gemma":[0.5006154,0.001945007,0.003495625,0.001086029,0.0001916266,0.0003205859,0.08291785,0.00006280626,0.4093651],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8573988,"threshold_uncertainty_score":0.2835423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00860312141364872,"score_gpt":0.2311727881231596,"score_spread":0.2225696667095109,"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."}}