{"id":"W7133277839","doi":"","title":"Réponse des sciences : Mise à jour sur l’état des stocks de morues du Pacifique en 3CD en 2023","year":2024,"lang":"fr","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":"Nova scotia; Stock (firearms); Economic shortage","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":[0.00400484,0.0006298808,0.0003922551,0.001805976,0.001166479,0.002957305,0.0006300648,0.0008496508,0.003228723],"category_scores_gemma":[0.005235319,0.0002251627,0.0004551002,0.001871819,0.0006159898,0.0009255489,0.0009555725,0.0009416497,0.0007256198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008768098,"about_ca_system_score_gemma":0.01090418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4111244,"about_ca_topic_score_gemma":0.5920294,"domain_scores_codex":[0.9981918,0.0001863737,0.00008262556,0.0001982226,0.001137051,0.0002038969],"domain_scores_gemma":[0.994412,0.0005448489,0.0007028706,0.0001288984,0.003549438,0.0006620093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001147112,0.0001320554,0.672385,0.001489923,0.0006023594,0.001266023,0.00642324,0.00661621,0.02197023,0.003256403,0.02815152,0.2565598],"study_design_scores_gemma":[0.00002325048,0.0004696756,0.8265622,0.0005815934,0.0001258176,0.0001979766,0.005911774,0.00245372,0.008031287,0.0008427854,0.154688,0.0001118193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8636893,0.01683455,0.005482382,0.01477424,0.0009857757,0.0003028272,0.01773669,0.0004685697,0.07972573],"genre_scores_gemma":[0.9542462,0.0059989,0.007100141,0.001579428,0.0001866391,0.0001719951,0.007372418,0.00003815322,0.02330612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5888756,"threshold_uncertainty_score":0.8174628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452900757734618,"score_gpt":0.252758284627334,"score_spread":0.2382292770499878,"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."}}