{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000612259,0.0001716768,0.0001713526,0.0005443388,0.0004415691,0.0008937884,0.0002367652,0.0004131424,0.02157824],"category_scores_gemma":[0.003678603,0.000112265,0.0003432812,0.0007968126,0.0005058045,0.0002647364,0.0005691281,0.0005455009,0.0009454348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004514819,"about_ca_system_score_gemma":0.001286522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168498,"about_ca_topic_score_gemma":0.007359121,"domain_scores_codex":[0.999298,0.0003173703,0.00003381659,0.00006366053,0.0001477675,0.0001394273],"domain_scores_gemma":[0.9974115,0.0008972735,0.000607295,0.00009259203,0.000303822,0.0006875099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007570423,0.0001578802,0.9778179,0.00003767257,0.00005884734,0.00007664863,0.000105955,0.00009233271,0.00004219136,0.0003329434,0.003533463,0.01766851],"study_design_scores_gemma":[0.00001258819,0.00008397688,0.9967787,0.00003340248,0.00001568331,0.00009564494,0.0001021051,0.0002995375,0.00002252572,0.0003337286,0.002219512,0.000002764678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388816,0.003926941,0.0007352924,0.007803401,0.0002441813,0.0001185416,0.004760596,0.00007425811,0.04345518],"genre_scores_gemma":[0.9974279,0.000380652,0.000179041,0.0001848213,0.0001365852,0.00003387417,0.0006036309,0.000004535799,0.001049016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02157824,"threshold_uncertainty_score":0.07218635,"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."}}