{"id":"W2156294338","doi":"","title":"Facilitating informed consent for EMR research in Quebec.","year":2014,"lang":"en","type":"article","venue":"PubMed","topic":"Socioeconomics of Resources and Conservation","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Integre de Sante et de Services Sociaux de Laval; Privacy Analytics (Canada); The Quebec Population Health Research Network","funders":"","keywords":"Primary care; Informed consent; Public health; Primary health care; Medicine; Patient Consent; Family medicine; Health care; Alternative medicine; Nursing; Political science; Pathology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002219688,0.00007638546,0.0002089709,0.0002880273,0.0000971587,0.0001095601,0.0001710414,0.00008166426,0.00001971602],"category_scores_gemma":[0.001716387,0.00009542432,0.00006911786,0.000143675,0.00006837315,0.0001766431,0.00004024215,0.0001143686,0.0001086906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311811,"about_ca_system_score_gemma":0.00003309411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009316598,"about_ca_topic_score_gemma":0.01578882,"domain_scores_codex":[0.9987816,0.00002370909,0.0004629752,0.0002533708,0.00002867358,0.0004497162],"domain_scores_gemma":[0.9979253,0.001642052,0.0001338853,0.0001913296,0.00003616201,0.00007129751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007131453,0.00005843535,0.2771333,0.0002056574,0.00003407583,3.451313e-7,0.002924158,0.0001504439,0.000001110053,0.4798703,0.005342969,0.2342079],"study_design_scores_gemma":[0.001356698,0.00002796245,0.480935,0.00001177691,0.000001098136,3.303523e-7,0.001578412,0.004226131,0.00001525191,0.1049367,0.4066843,0.0002263318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644541,0.0003168268,0.001111283,0.00298879,0.0002015475,0.0009307755,0.00003724794,0.0000239977,0.0299354],"genre_scores_gemma":[0.9924467,0.00005857552,0.0006131372,0.0003638876,0.00009900201,0.002461741,0.00001791306,0.00001345057,0.003925585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4013413,"threshold_uncertainty_score":0.9972804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1990677881897798,"score_gpt":0.302281413057769,"score_spread":0.1032136248679892,"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."}}