{"id":"W4379093922","doi":"10.1093/heapro/daad059","title":"Addressing the digital determinants of health: health promotion must lead the charge","year":2023,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); Health promotion; Environmental health; Charge (physics); Business; Medicine; Public health; Nursing; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008112679,0.0003340094,0.0006796218,0.0003943957,0.004608903,0.00005577368,0.0008325322,0.0002011234,0.0006400731],"category_scores_gemma":[0.0006613431,0.0002259789,0.0001649818,0.001143986,0.0002448639,0.0003515003,0.0002675294,0.001206143,0.001216156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016258,"about_ca_system_score_gemma":0.004658537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087752,"about_ca_topic_score_gemma":0.0006631639,"domain_scores_codex":[0.9914192,0.001907272,0.003197009,0.0006737583,0.001158983,0.001643805],"domain_scores_gemma":[0.9940982,0.0007863144,0.003231054,0.0008346639,0.0005447034,0.0005050389],"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":[0.00007764408,0.0009146329,0.04838345,0.003780009,0.00004124018,0.000001536437,0.008360551,0.00002504637,0.00001518755,0.01450149,0.2735237,0.6503755],"study_design_scores_gemma":[0.002616538,0.00148364,0.193456,0.003395456,0.00001049593,0.00004246288,0.004375084,0.01058246,0.00002128952,0.002748141,0.7808502,0.0004182545],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09549662,0.001569656,0.00491735,0.8577439,0.009505096,0.02300369,0.001587592,0.001089169,0.005086974],"genre_scores_gemma":[0.9651059,0.002852052,0.000201232,0.01262429,0.001552805,0.009757371,0.001297572,0.0001073924,0.006501423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8696092,"threshold_uncertainty_score":0.9995615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3386061581302902,"score_gpt":0.5256734860283264,"score_spread":0.1870673278980362,"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."}}