{"id":"W4408183747","doi":"10.2196/52244","title":"Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study","year":2025,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; St. Michael's Hospital; University of Calgary; University of Saskatchewan; University of Toronto; Dalhousie University; University of Manitoba; Memorial University of Newfoundland","funders":"","keywords":"Distrust; Health care; Social determinants of health; Psychology; Public health; Qualitative research; Internet privacy; Public relations; Medicine; Nursing; Computer science; Sociology; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0255038,0.000658763,0.0009793399,0.004161017,0.03627943,0.008750901,0.003455011,0.002244865,0.002526236],"category_scores_gemma":[0.03769016,0.0009127881,0.0006140145,0.006459109,0.01707624,0.00256052,0.007892996,0.003789963,0.0002051608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1250015,"about_ca_system_score_gemma":0.1658283,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9489942,"about_ca_topic_score_gemma":0.9612645,"domain_scores_codex":[0.9788681,0.01162647,0.0007944502,0.001035811,0.003160126,0.004515151],"domain_scores_gemma":[0.9426059,0.03527928,0.003048422,0.0009322768,0.01060978,0.00752446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001988162,0.00001362567,0.004509116,0.0000980805,0.000004090064,0.0004688586,0.9913251,0.00002698155,0.0003399797,0.0008783679,0.0004414068,0.001874482],"study_design_scores_gemma":[0.000002277256,0.00001051582,0.002121333,0.0001252676,0.000003479627,0.00006077691,0.9928305,0.00008173149,0.00008136124,0.0001204938,0.004547104,0.00001522142],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756204,0.001334533,0.001872424,0.01196577,0.00009102214,0.0006929776,0.0005092526,0.00002651792,0.007887138],"genre_scores_gemma":[0.9916486,0.001267512,0.001271846,0.002703817,0.00001594997,0.0003772398,0.0001299587,0.00002553853,0.002559568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250015,"threshold_uncertainty_score":0.9069536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5840980291873545,"score_gpt":0.6538001777783552,"score_spread":0.06970214859100066,"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."}}