{"id":"W7133273998","doi":"","title":"Évaluation du stock de sébaste canari en 2022","year":2023,"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":"Population; Environmental indicator; Stock (firearms)","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":[0.001530607,0.0007388784,0.000367403,0.001797952,0.0003528866,0.001155665,0.0006832301,0.0004220963,0.003570032],"category_scores_gemma":[0.002180171,0.0002428669,0.0007276998,0.001498528,0.0003470562,0.0005994907,0.0004950495,0.0002542674,0.000793153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003462658,"about_ca_system_score_gemma":0.001383551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2188498,"about_ca_topic_score_gemma":0.3310142,"domain_scores_codex":[0.999612,0.00005192708,0.00001957764,0.00007143324,0.0001878408,0.0000572935],"domain_scores_gemma":[0.9988725,0.0002124361,0.0001296615,0.00005722697,0.0006501639,0.00007799936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005851897,0.00007179853,0.8099626,0.0002093726,0.0005292302,0.000246456,0.0004506707,0.1308221,0.009285025,0.001509933,0.001475519,0.04485205],"study_design_scores_gemma":[0.00003245551,0.000480637,0.858282,0.00009364994,0.0002816561,0.0001000088,0.00109408,0.1223139,0.009026908,0.0005867009,0.007634711,0.0000731808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839298,0.0004480694,0.002965213,0.0001419451,0.00002503491,0.0000776644,0.005456523,0.0001095322,0.006846373],"genre_scores_gemma":[0.9838991,0.0003035875,0.003564671,0.00003296459,0.000006469397,0.00005916048,0.006523698,0.00001804596,0.005592371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7811502,"threshold_uncertainty_score":0.435152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01534274994577776,"score_gpt":0.2423989008580736,"score_spread":0.2270561509122959,"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."}}