{"id":"W4402610335","doi":"10.1097/01.hjh.0001063012.70082.d0","title":"P035 SOCIAL DETERMINANTS OF HEALTH AND CONTROL OF HYPERTENSION","year":2024,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Health and Lifestyle Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Medicine; Social determinants of health; Control (management); Environmental health; Public health; Nursing; Artificial intelligence","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":[0.002089842,0.0001439157,0.001090494,0.0002503191,0.0004138392,0.000003641546,0.00008279832,0.00015921,0.00001904996],"category_scores_gemma":[0.000646252,0.00009511846,0.0001440099,0.0001752361,0.0001080939,0.0001257749,0.00005612465,0.0005524798,0.000007197029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005541205,"about_ca_system_score_gemma":0.0009443944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605905,"about_ca_topic_score_gemma":0.00002000642,"domain_scores_codex":[0.9968408,0.000597046,0.001648793,0.0001453079,0.0003920488,0.0003759441],"domain_scores_gemma":[0.9973161,0.0008275264,0.0009034409,0.0001055881,0.0006381359,0.0002091761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003679287,0.0008871114,0.3027785,0.02315934,0.0006456501,0.001092595,0.03049598,0.000005354441,0.05742557,0.0009182664,0.1617979,0.4171145],"study_design_scores_gemma":[0.01915822,0.008821916,0.7577481,0.02501621,0.0008168104,0.002182061,0.03557972,0.00508274,0.0009405444,0.001616774,0.1421801,0.000856827],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683466,0.02095991,0.0001342042,0.008580917,0.001565906,0.0002902468,0.00001640416,0.00001460592,0.00009123683],"genre_scores_gemma":[0.9943102,0.002556854,0.0002207006,0.002285196,0.0005364416,0.000002366645,8.743001e-7,0.00002145486,0.00006589772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4549696,"threshold_uncertainty_score":0.3878818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509893694933825,"score_gpt":0.4244314919343774,"score_spread":0.2734421224409949,"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."}}