{"id":"W2389546732","doi":"10.1186/s12978-016-0172-6","title":"mHealth information for migrants: an e-health intervention for internal migrants in Vietnam","year":2016,"lang":"en","type":"article","venue":"Reproductive Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Grand Challenges Canada","keywords":"Reproductive health; Reproductive medicine; Intervention (counseling); Medicine; mHealth; Family medicine; Nursing; Environmental health; Population; Psychological intervention","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001750459,0.0005156395,0.0004319425,0.0002957478,0.002171261,0.0009593035,0.0008280906,0.0006776858,0.005415677],"category_scores_gemma":[0.00170515,0.0002621313,0.0004700258,0.000330341,0.0007522076,0.0007218589,0.0020397,0.0009384883,0.0002337383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270932,"about_ca_system_score_gemma":0.006262936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678935,"about_ca_topic_score_gemma":0.02234733,"domain_scores_codex":[0.9994406,0.0002482771,0.00002229028,0.00003732479,0.00003174784,0.0002198303],"domain_scores_gemma":[0.9987974,0.0001457775,0.0001012464,0.00002341548,0.00009687425,0.0008352509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007242241,0.07161424,0.1220536,0.007555868,0.0003025092,0.005609817,0.1473711,0.0008258277,0.00898512,0.001544591,0.03003906,0.596856],"study_design_scores_gemma":[0.01372604,0.09209326,0.4989381,0.005696709,0.0007331854,0.001436924,0.3054129,0.003161282,0.005440469,0.001335734,0.07182086,0.0002045661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921341,0.0002998312,0.0002640258,0.002249799,0.0001120675,0.001790341,0.0001059262,0.00005049181,0.002993291],"genre_scores_gemma":[0.9889984,0.0008781455,0.002421795,0.001300101,0.00004920737,0.002672485,0.0001406123,0.00001028746,0.003529093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01678935,"threshold_uncertainty_score":0.03338325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06585751921932398,"score_gpt":0.4741600325376977,"score_spread":0.4083025133183737,"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."}}