{"id":"W4407753103","doi":"10.3233/shti250016","title":"Empowering Health Through Personalized Preventive Prescription","year":2025,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Public Health Ontario; University of Toronto","funders":"","keywords":"Multidisciplinary approach; Medical prescription; Empowerment; Patient Empowerment; Medicine; Health care; Knowledge management; Process management; Nursing; Computer science; Business; 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":[0.01335726,0.0004329376,0.0003594864,0.001372552,0.001897522,0.004074201,0.001368637,0.001580303,0.006535048],"category_scores_gemma":[0.02440448,0.0003019155,0.0006052433,0.001608608,0.00270401,0.002251861,0.004802349,0.002232153,0.00115184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005435165,"about_ca_system_score_gemma":0.03683611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0593601,"about_ca_topic_score_gemma":0.09839696,"domain_scores_codex":[0.9898384,0.006576606,0.0002654224,0.0005158722,0.001842414,0.0009613509],"domain_scores_gemma":[0.9854262,0.008588438,0.0008173252,0.001799818,0.001476488,0.00189169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002358654,0.002052347,0.03078021,0.001055105,0.0001838218,0.0002091095,0.01240255,0.004631916,0.002240701,0.07886158,0.07474117,0.7926056],"study_design_scores_gemma":[0.0004933455,0.0006185425,0.03569726,0.002438475,0.0003437637,0.0003442565,0.01004931,0.01360565,0.007252967,0.1947053,0.7342703,0.0001809164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1544209,0.006691041,0.2088546,0.2870632,0.001235751,0.002145706,0.003256601,0.005633133,0.3306991],"genre_scores_gemma":[0.769823,0.007240173,0.1767852,0.02260987,0.0006401211,0.001106641,0.001192293,0.0002066266,0.02039622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0593601,"threshold_uncertainty_score":0.1180291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.386174602829604,"score_gpt":0.6718130975379181,"score_spread":0.2856384947083141,"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."}}