{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01659153,0.0003400589,0.001249597,0.0006761203,0.003359307,0.0001213323,0.0004546499,0.0002283515,0.0003577911],"category_scores_gemma":[0.0007298946,0.0002821663,0.0001246129,0.0008652571,0.000308553,0.0009580876,0.0003018894,0.001661372,0.0001576624],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900334,"about_ca_system_score_gemma":0.03501446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004645538,"about_ca_topic_score_gemma":0.0004576458,"domain_scores_codex":[0.9906381,0.001661591,0.0037539,0.0004956973,0.0008589868,0.002591711],"domain_scores_gemma":[0.9888725,0.0005026261,0.003742287,0.0005543673,0.001144238,0.005184014],"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":[0.0000415738,0.0003040201,0.01974455,0.001823772,0.00004797919,0.000001969334,0.01046693,3.350968e-7,0.000003677111,0.03048416,0.2983616,0.6387194],"study_design_scores_gemma":[0.002097416,0.002590123,0.05814016,0.0003556813,0.000003513107,0.0001118916,0.006964908,0.0000582853,7.015422e-7,0.002899858,0.9265788,0.0001987273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02590494,0.02732939,0.0400223,0.8668066,0.004013165,0.007615492,0.0003143094,0.000291324,0.02770253],"genre_scores_gemma":[0.7537374,0.02017323,0.007912062,0.2100705,0.00581938,0.0004939786,0.00007433091,0.0001322465,0.001586787],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.7278325,"threshold_uncertainty_score":0.999963,"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."}}