{"id":"W7104290419","doi":"10.71781/2435","title":"Vie privée et recherche en santé : vers une adaptation du cadre juridique québécois face aux défis des mégadonnées","year":2025,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare system; Opt-in email; Gold rush","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":[0.008759358,0.0004195461,0.0007939772,0.00261432,0.0124139,0.009357119,0.001845579,0.002125484,0.0230379],"category_scores_gemma":[0.01544832,0.0004678841,0.0005173955,0.00417282,0.008901715,0.003508998,0.004411826,0.003160144,0.001137245],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06688449,"about_ca_system_score_gemma":0.1599401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9411517,"about_ca_topic_score_gemma":0.9737335,"domain_scores_codex":[0.9913202,0.002768852,0.0003116266,0.0009165077,0.003041148,0.001641729],"domain_scores_gemma":[0.9829625,0.003751264,0.00150625,0.001024031,0.007507785,0.003248213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006115814,0.0002590738,0.1598429,0.002596417,0.0002727495,0.002380029,0.1759426,0.002307446,0.0112042,0.1770972,0.08434326,0.3831425],"study_design_scores_gemma":[0.00004504804,0.0002448643,0.2147488,0.002668682,0.00009330123,0.0004044719,0.08974694,0.0008403704,0.001258791,0.009960016,0.6797546,0.0002340478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4872983,0.02170328,0.0126916,0.228139,0.001715076,0.0005020782,0.004526326,0.0003753001,0.243049],"genre_scores_gemma":[0.8523872,0.009199914,0.0127879,0.01218485,0.0001833403,0.0003744574,0.001047575,0.0001497429,0.1116851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9331155,"threshold_uncertainty_score":0.4852832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258433903456651,"score_gpt":0.4108814418359768,"score_spread":0.2850380514903118,"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."}}