{"id":"W2604577243","doi":"10.2196/mhealth.6510","title":"Processes and Recommendations for Creating mHealth Apps for Low-Income Populations","year":2017,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Medicine; Population; Usability; Health care; Context (archaeology); Internet privacy; Medical education; Nursing; Computer science; Psychological intervention; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"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":[0.04796818,0.002078945,0.0008401893,0.004546811,0.003980474,0.006899723,0.004036448,0.007365962,0.01447808],"category_scores_gemma":[0.118844,0.001076116,0.002751746,0.002648459,0.00181128,0.01074594,0.004305645,0.006015359,0.008330266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002977854,"about_ca_system_score_gemma":0.02559042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009337545,"about_ca_topic_score_gemma":0.02518623,"domain_scores_codex":[0.9690949,0.01823019,0.003955717,0.001170354,0.006046904,0.001501862],"domain_scores_gemma":[0.9048661,0.04666627,0.005343762,0.004073267,0.03144271,0.007607892],"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":[0.0003088844,0.00480438,0.01686368,0.01371666,0.0001183639,0.001609685,0.02475377,0.001125368,0.005581151,0.008421551,0.1654667,0.7572298],"study_design_scores_gemma":[0.001197089,0.00251023,0.03815751,0.07633805,0.0008445815,0.00204805,0.07366178,0.007994846,0.0107312,0.04112346,0.7446271,0.0007661695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.06298806,0.01985708,0.2723993,0.3954689,0.005271957,0.1127436,0.005349723,0.01253336,0.1133881],"genre_scores_gemma":[0.04665618,0.0117553,0.8812972,0.01495657,0.0003483809,0.03375977,0.001534762,0.0002986689,0.009393126],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04796818,"threshold_uncertainty_score":0.253683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.181699050066076,"score_gpt":0.531930757762724,"score_spread":0.350231707696648,"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."}}