{"id":"W7133279587","doi":"","title":"Relevé plurispécifique indépendant des pêches pour l’ensemble du grand lac des Esclaves","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":"Triglycerides blood; Water consumption; Onomastics","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":[0.001361119,0.0005807083,0.0007505346,0.0006224903,0.0007101721,0.001434112,0.0005218158,0.0004563237,0.002533339],"category_scores_gemma":[0.001461241,0.000247999,0.0006496196,0.0007396985,0.0004741995,0.0008595781,0.0007895883,0.0007697692,0.0005180819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230297,"about_ca_system_score_gemma":0.001106958,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02312058,"about_ca_topic_score_gemma":0.03564293,"domain_scores_codex":[0.998676,0.0001534744,0.00006163822,0.000487891,0.0004361496,0.0001847443],"domain_scores_gemma":[0.9984698,0.0003323217,0.0002522718,0.0001921864,0.0005589053,0.0001944934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008604947,0.0002522792,0.06695206,0.0001393295,0.0001403122,0.0002295064,0.0007636867,0.007842859,0.8724376,0.000474869,0.0001552178,0.04975169],"study_design_scores_gemma":[0.00006479194,0.006777215,0.5752936,0.00005595102,0.0002673031,0.0002590667,0.001505729,0.01670938,0.3802304,0.0006144621,0.01811651,0.0001056083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952839,0.000232272,0.003155941,0.00002735021,0.000007011031,0.00002546254,0.0001973274,0.00005784681,0.001012864],"genre_scores_gemma":[0.9852216,0.000285465,0.005460486,0.00002578293,0.000006751972,0.00008980685,0.0006820851,0.00005766575,0.008170394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9768794,"threshold_uncertainty_score":0.04597199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488858579047054,"score_gpt":0.237124563210693,"score_spread":0.2222359774202224,"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."}}