{"id":"W3159641106","doi":"10.1002/pds.5255","title":"Chronic pain patients' willingness to share personal identifiers on the web for the linkage of medico‐administrative claims and patient‐reported data: The chronic pain treatment cohort","year":2021,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Université de Montréal; Centre Hospitalier de l’Université de Montréal; Centre hospitalier de l'Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"AstraZeneca; Genentech; Fonds de Recherche du Québec - Santé; Réseau québécois de recherche sur la douleur; Fondation de l’Université du Québec en Abitibi-Témiscamingue; Canadian Institutes of Health Research; Teva Pharmaceutical Industries","keywords":"Medicine; Linkage (software); Cohort; Chronic pain; Context (archaeology); Cohort study; Family medicine; Identifier; Physical therapy; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04206464,0.0002867794,0.0003725857,0.001153837,0.00237508,0.002734741,0.001080827,0.0008852928,0.003570163],"category_scores_gemma":[0.100542,0.0004082075,0.001107252,0.001441682,0.0009943263,0.001744838,0.003577341,0.001384537,0.0004451456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281801,"about_ca_system_score_gemma":0.003463662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081459,"about_ca_topic_score_gemma":0.02186563,"domain_scores_codex":[0.9680799,0.02110703,0.002532851,0.00165606,0.005260854,0.001363232],"domain_scores_gemma":[0.9567512,0.01641708,0.01474359,0.006398061,0.004335342,0.001354803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004817011,0.0003665174,0.965633,0.0001815468,0.0002547216,0.0001480705,0.01478537,0.00006571192,0.0003307417,0.0004310223,0.001382294,0.01593926],"study_design_scores_gemma":[0.0002213948,0.001150258,0.9525851,0.0007162308,0.0003296863,0.0007784442,0.03334323,0.001539781,0.0007883937,0.0007497564,0.007709355,0.00008825881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940707,0.000226245,0.001331001,0.0009863294,0.00004773097,0.000976713,0.0007112728,0.000006037682,0.001643824],"genre_scores_gemma":[0.9951165,0.0001605672,0.001873358,0.0005536019,0.00002771908,0.001510692,0.0003650939,0.000005963248,0.0003865261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04206464,"threshold_uncertainty_score":0.2224618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355577786663425,"score_gpt":0.4567528707519106,"score_spread":0.3211950920855681,"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."}}