{"id":"W7133283295","doi":"","title":"Ajustement d'un modèle bayésien de production excédentaire pour la crevette nordique des stocks du golfe du Saint-Laurent","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":"Stock (firearms); Western europe; Carbon stock; Production (economics)","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":[0.002769118,0.0008102263,0.0007747071,0.0007101623,0.0005635693,0.002104667,0.001028817,0.0009851294,0.002666333],"category_scores_gemma":[0.00563879,0.0006915122,0.001240179,0.0005513392,0.0006874884,0.0008302357,0.0005839212,0.001184019,0.0004337466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003598621,"about_ca_system_score_gemma":0.004760748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2097704,"about_ca_topic_score_gemma":0.1792003,"domain_scores_codex":[0.9993526,0.0002103405,0.00002768725,0.0001504814,0.0001775095,0.00008134245],"domain_scores_gemma":[0.9972651,0.001943168,0.0001831307,0.0001119626,0.0004380611,0.00005862713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000204032,0.00002334586,0.009100472,0.00007307532,0.0001045924,0.00008991308,0.0001569625,0.9517061,0.001559665,0.007560996,0.0007789276,0.02864193],"study_design_scores_gemma":[0.00002326541,0.00002891752,0.003088225,0.00003564454,0.00004104642,0.000022078,0.00003682611,0.9893486,0.001232348,0.004418752,0.001703671,0.00002054166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3949977,0.001437609,0.5869154,0.001410275,0.000198974,0.0001505366,0.001521185,0.0008107344,0.0125576],"genre_scores_gemma":[0.8747248,0.0006001051,0.1064969,0.0001633498,0.00005764873,0.0001619734,0.0014066,0.0001204464,0.01626809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7902296,"threshold_uncertainty_score":0.4170988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082601278986925,"score_gpt":0.23094657659281,"score_spread":0.2201205638029408,"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."}}