{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002640455,0.0004317166,0.0008653944,0.0002857592,0.02006512,0.0001073843,0.0003818317,0.0004483329,0.00004634286],"category_scores_gemma":[0.001786469,0.0004174188,0.00007987794,0.0002215065,0.0002211392,0.0004675615,0.000156158,0.000746288,0.00001739014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237766,"about_ca_system_score_gemma":0.003630812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243046,"about_ca_topic_score_gemma":0.002516079,"domain_scores_codex":[0.9945828,0.000265094,0.001879279,0.001030543,0.0002417979,0.002000491],"domain_scores_gemma":[0.9922382,0.002120327,0.001974197,0.001021903,0.0006749567,0.001970478],"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":[0.001302801,0.0005837841,0.1660046,0.1196908,0.00004273383,7.67618e-7,0.006790508,0.000003953054,0.00001225574,0.3384171,0.05803784,0.3091128],"study_design_scores_gemma":[0.01088952,0.001293228,0.3696736,0.002635538,0.0002719608,0.00001728786,0.004049195,0.002931385,0.000005457569,0.05103509,0.5561995,0.0009982372],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5523236,0.01059444,0.04340456,0.2857462,0.005404622,0.08695092,0.006429046,0.001390358,0.00775633],"genre_scores_gemma":[0.8540187,0.009847568,0.0478097,0.01113285,0.002026975,0.07184602,0.0009699377,0.0001849713,0.002163279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4981616,"threshold_uncertainty_score":0.9998277,"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."}}