{"id":"W2800190975","doi":"10.2196/mhealth.8639","title":"Mobile Health Initiatives in Vietnam: Scoping Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Computer science; Medicine; Political science; Psychology; Environmental health; Nursing; Psychological intervention","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":[0.01376821,0.0006515985,0.001616908,0.01201533,0.002392496,0.004162592,0.001175181,0.001233376,0.004894325],"category_scores_gemma":[0.02819804,0.0007558459,0.00113567,0.02037844,0.001462156,0.003619272,0.003081083,0.0009458524,0.0003091617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006606997,"about_ca_system_score_gemma":0.02874582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03289928,"about_ca_topic_score_gemma":0.04270769,"domain_scores_codex":[0.9945939,0.002261768,0.001625156,0.0003785014,0.0006848666,0.0004558689],"domain_scores_gemma":[0.9793242,0.01302601,0.003269615,0.0003979766,0.003370429,0.0006117052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.000405811,0.0006575803,0.05281773,0.432321,0.001304064,0.004768746,0.1078741,0.001055397,0.0004981773,0.01090941,0.01225383,0.3751341],"study_design_scores_gemma":[0.0001512521,0.0008325881,0.03696989,0.6506166,0.002242979,0.001910464,0.1645032,0.0004131149,0.0004686833,0.001598113,0.1402119,0.00008123458],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1478661,0.7924424,0.002124388,0.005604577,0.0005411255,0.01465851,0.00518271,0.00003048763,0.03154972],"genre_scores_gemma":[0.3592167,0.6131936,0.003913661,0.002220954,0.0001985341,0.01605249,0.002750001,0.00002728904,0.002426792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03289928,"threshold_uncertainty_score":0.07281411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1186548750951131,"score_gpt":0.5277559731230681,"score_spread":0.409101098027955,"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."}}