{"id":"W4392605521","doi":"10.12927/hcpap.2024.27268","title":"From Today to Tomorrow: Leveraging Digital Health to Move toward Health for All","year":2024,"lang":"en","type":"letter","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; Canadian Medical Association; University of British Columbia","funders":"","keywords":"Interoperability; Digital health; Knowledge management; Citizen journalism; Harmonization; Computer science; Process management; Resource (disambiguation); Business; Engineering management; Engineering; Political science; Health care; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01734591,0.0006351428,0.000682258,0.0008880278,0.02535442,0.0126381,0.003070237,0.06493054,0.0115367],"category_scores_gemma":[0.03264694,0.0009684935,0.001143626,0.001184903,0.01888578,0.01835697,0.01061911,0.06371411,0.003105034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02713207,"about_ca_system_score_gemma":0.09071672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2255666,"about_ca_topic_score_gemma":0.3821657,"domain_scores_codex":[0.9848615,0.005660406,0.0007459011,0.001150783,0.004681007,0.002900379],"domain_scores_gemma":[0.9702163,0.01842271,0.0008497332,0.0009141362,0.003213386,0.006383671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003189801,0.00008270842,0.001142184,0.0002203313,0.00001792903,0.001613331,0.01223043,0.0001474083,0.0006459359,0.05937422,0.8898845,0.034609],"study_design_scores_gemma":[0.00002252205,0.00005753028,0.0006876073,0.000295938,0.00001160508,0.0004661102,0.01160295,0.0002025139,0.0002355583,0.01770117,0.9686546,0.00006193768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0004078333,0.0004952146,0.0001693364,0.9931147,0.002358488,0.00001282912,0.000007478473,0.00001031642,0.003423947],"genre_scores_gemma":[0.006783793,0.00100346,0.0006352487,0.9791038,0.002111915,0.00005129238,0.00000702901,0.00001797975,0.01028545],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2255666,"threshold_uncertainty_score":0.4485074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4167313307825418,"score_gpt":0.5646964808519119,"score_spread":0.1479651500693702,"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."}}