{"id":"W3008964144","doi":"10.2196/16473","title":"Digital Health and Inequalities in Access to Health Services in Bangladesh: Mixed Methods Study","year":2020,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; International Centre for Diarrhoeal Disease Research, Bangladesh; International Development Research Centre","keywords":"Health care; Digital divide; Business; mHealth; Focus group; Environmental health; Socioeconomic status; Economic growth; Medicine; Internet privacy; Information and Communications Technology; Population; Marketing; Computer science; World Wide Web; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004109863,0.0004979909,0.001025997,0.001636424,0.001575314,0.001538976,0.001000869,0.0008085612,0.005559653],"category_scores_gemma":[0.007473175,0.000666044,0.001033641,0.003359244,0.0007652481,0.001763483,0.001927761,0.0008537357,0.0005333048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759495,"about_ca_system_score_gemma":0.001763069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02274869,"about_ca_topic_score_gemma":0.03413728,"domain_scores_codex":[0.9963261,0.001601541,0.0007082187,0.0003720636,0.0005214568,0.0004705384],"domain_scores_gemma":[0.9960276,0.001610243,0.001176907,0.0003086086,0.0005725917,0.0003040702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003810738,0.0009058852,0.950912,0.001754119,0.0004306949,0.0005205491,0.0212199,0.00006591166,0.0002736481,0.0007676225,0.001440683,0.02132798],"study_design_scores_gemma":[0.0001139632,0.001633393,0.8884373,0.002681717,0.0005931854,0.000874192,0.09781775,0.0006363725,0.0003045593,0.0007696019,0.006043023,0.00009499359],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897216,0.002517153,0.000572882,0.0005981705,0.00002001903,0.000924854,0.00260172,0.000008082459,0.003035538],"genre_scores_gemma":[0.9932892,0.001844703,0.001061282,0.000531948,0.00002234876,0.001675416,0.0008572409,0.00000639088,0.0007115559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02274869,"threshold_uncertainty_score":0.04523253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1652305603390703,"score_gpt":0.542669049524732,"score_spread":0.3774384891856618,"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."}}