{"id":"W2609346856","doi":"10.21037/mhealth.2017.04.01","title":"Mobile-based blended learning for capacity building of health providers in rural Afghanistan","year":2017,"lang":"en","type":"article","venue":"mHealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; McMaster University; BAH Enterprises (Canada)","funders":"Grand Challenges Canada","keywords":"Intervention (counseling); Test (biology); Depression (economics); Mental health; Service provider; Medicine; Psychology; Environmental health; Nursing; Psychiatry; Family medicine; Service (business); Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001899431,0.0003163102,0.0001879002,0.0005173291,0.001258622,0.001204242,0.001182052,0.0005243059,0.005995077],"category_scores_gemma":[0.002434146,0.0001605351,0.0002388485,0.0004504338,0.0004670573,0.0007940102,0.00260106,0.0005356718,0.0005638242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429053,"about_ca_system_score_gemma":0.004458263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080766,"about_ca_topic_score_gemma":0.006082554,"domain_scores_codex":[0.9990965,0.0004739425,0.00001875883,0.00006450459,0.00009737693,0.0002488009],"domain_scores_gemma":[0.9987006,0.0003982204,0.00009958301,0.00006669473,0.0001362254,0.000598731],"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":[0.001094619,0.02212428,0.07517876,0.001057556,0.00009069816,0.00128597,0.03032578,0.01146328,0.01346395,0.00382905,0.008567895,0.8315182],"study_design_scores_gemma":[0.003916772,0.03330303,0.3430635,0.003235398,0.0003955554,0.002739887,0.3090026,0.0955545,0.02790005,0.02580407,0.1547578,0.0003268819],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831549,0.0001972672,0.005685824,0.001758684,0.00003826924,0.0006965241,0.00006409491,0.00007962072,0.008324759],"genre_scores_gemma":[0.9851291,0.0002158827,0.01213761,0.0001531165,0.00001423119,0.0004926603,0.00004063207,0.000004952629,0.001811832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005995077,"threshold_uncertainty_score":0.02005547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0858743761483924,"score_gpt":0.450636094752044,"score_spread":0.3647617186036516,"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."}}