{"id":"W6962656621","doi":"10.17605/osf.io/aevuz","title":"Café scientifique en bioéthique - Accès et utilisation secondaire des données personnelles de santé en recherche: l'art de (ré)concilier des normes éthiques canadiennes et des obligations légales québécoises","year":2024,"lang":"fr","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gender identity; Context (archaeology); Public health; MEDLINE","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.2451304,0.0008818523,0.002347631,0.006644489,0.01791416,0.03598947,0.004676475,0.01386367,0.0158856],"category_scores_gemma":[0.2330785,0.001230053,0.001385793,0.008642589,0.04059497,0.0159221,0.01824244,0.0155332,0.002362476],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05984729,"about_ca_system_score_gemma":0.2053209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4270677,"about_ca_topic_score_gemma":0.3979782,"domain_scores_codex":[0.7800817,0.1508228,0.007678909,0.00822604,0.04644244,0.006748108],"domain_scores_gemma":[0.5810551,0.2049993,0.01787847,0.06529366,0.1066264,0.02414711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001284586,0.000120092,0.004795236,0.0007608565,0.00008505847,0.000264716,0.03479423,0.0006665371,0.0008392725,0.8258316,0.05750508,0.07420884],"study_design_scores_gemma":[0.00009560239,0.000121391,0.01719385,0.003566586,0.00007067857,0.0003519141,0.02017976,0.002028502,0.001170865,0.2111951,0.7437759,0.0002498571],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03259511,0.02160872,0.07719281,0.629244,0.005405639,0.00097274,0.001006607,0.000387004,0.2315874],"genre_scores_gemma":[0.6487615,0.01382554,0.1319576,0.05771055,0.002431273,0.003491981,0.0008533543,0.0006255312,0.1403427],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9861363,"threshold_uncertainty_score":0.9308886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09519746870112084,"score_gpt":0.2897880205433443,"score_spread":0.1945905518422235,"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."}}