{"id":"W2002533453","doi":"10.2196/mhealth.2641","title":"Acceptability of Delivering and Accessing Health Information Through Text Messaging Among Community Health Advisors","year":2013,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Text messaging; Health information; mHealth; Internet privacy; eHealth; World Wide Web; Protected health information; Health communication; Computer science; Medicine; Psychology; Health care; Health promotion; Psychological intervention; Public health; HRHIS; Nursing; Political science","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":[0.01060644,0.0002908876,0.0002813696,0.0005683007,0.0007414374,0.001489123,0.0004921634,0.0009190426,0.004945321],"category_scores_gemma":[0.07251991,0.0002300184,0.0005484304,0.0003827685,0.0004660044,0.001105995,0.001088201,0.0008078187,0.0004252179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000719866,"about_ca_system_score_gemma":0.00203193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00930286,"about_ca_topic_score_gemma":0.005542997,"domain_scores_codex":[0.9895955,0.006610147,0.0008348934,0.0004451962,0.001722469,0.0007918488],"domain_scores_gemma":[0.9626479,0.02623511,0.00485574,0.001049238,0.003667025,0.001544978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001222087,0.001667587,0.676335,0.001470833,0.0001575683,0.0005414765,0.0855445,0.0003011725,0.00451474,0.0001994258,0.002749213,0.2252964],"study_design_scores_gemma":[0.0002048217,0.005167792,0.854978,0.001461023,0.0002614182,0.0007138788,0.1195619,0.001667562,0.002787634,0.0003901187,0.01266946,0.0001365164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993415,0.0002288392,0.0005461187,0.000865102,0.00002055352,0.0002925045,0.0002313811,0.00002278263,0.004377621],"genre_scores_gemma":[0.9978243,0.0002701561,0.0007827419,0.0002411435,0.00001629397,0.0002604968,0.00009039797,0.000006414943,0.0005081801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01060644,"threshold_uncertainty_score":0.05609286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363268420454608,"score_gpt":0.453416216664796,"score_spread":0.37978353246025,"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."}}