{"id":"W2895826459","doi":"10.1093/pubmed/fdy171","title":"Digital health, gender and health equity: invisible imperatives","year":2018,"lang":"en","type":"article","venue":"Journal of Public Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"International Development Research Centre","keywords":"Digital health; eHealth; mHealth; Psychological intervention; Accountability; Global health; Health equity; Public relations; Health promotion; Equity (law); Public health; Political science; Economic growth; Psychology; Environmental health; Medicine; Health care; Nursing; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02560336,0.0004951507,0.0007133451,0.001766945,0.007924322,0.01744639,0.001685282,0.004266998,0.01131506],"category_scores_gemma":[0.03654031,0.00031822,0.0004862779,0.002006773,0.04974674,0.02344379,0.01728387,0.007028655,0.0004575662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005836847,"about_ca_system_score_gemma":0.008551868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004522046,"about_ca_topic_score_gemma":0.00550713,"domain_scores_codex":[0.9784546,0.01394268,0.0005950137,0.00113872,0.004003257,0.001865649],"domain_scores_gemma":[0.9444554,0.04657685,0.002223441,0.002356263,0.001678101,0.002709909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005207314,0.00006564363,0.003959656,0.0004925132,0.00001533878,0.0002452623,0.1052423,0.0001013578,0.0002819363,0.8067341,0.01133412,0.07147569],"study_design_scores_gemma":[0.0000306487,0.0001439893,0.006649428,0.002810236,0.00003970362,0.0005456315,0.2419455,0.0002409958,0.0008271768,0.3938353,0.3528682,0.00006318064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1005534,0.02427882,0.01247294,0.6627465,0.004376102,0.0001460882,0.0002313742,0.00005215835,0.1951427],"genre_scores_gemma":[0.9180263,0.01436205,0.00332068,0.04867782,0.002251793,0.0002250386,0.00006190309,0.00005830056,0.01301611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02560336,"threshold_uncertainty_score":0.1354051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3006139092216907,"score_gpt":0.5402160856899101,"score_spread":0.2396021764682194,"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."}}