{"id":"W4312490993","doi":"10.2196/43639","title":"Use of and Satisfaction With Mobile Health Education During the COVID-19 Pandemic in Thailand: Cross-sectional Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mahidol University","keywords":"Likert scale; mHealth; Medicine; Descriptive statistics; Population; Health care; Attendance; Family medicine; Psychology; Nursing; Medical education; Environmental health; 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":[0.0008803491,0.000189341,0.0003154459,0.0007405014,0.0006313153,0.0009533351,0.000275398,0.0006129146,0.002183261],"category_scores_gemma":[0.002161408,0.0003786226,0.0006367374,0.001099327,0.0003874996,0.0008342178,0.0006153056,0.0007924103,0.0002880506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004140036,"about_ca_system_score_gemma":0.0004268922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00747478,"about_ca_topic_score_gemma":0.008167432,"domain_scores_codex":[0.9993467,0.0001875443,0.0001087417,0.0000801819,0.000148203,0.0001286662],"domain_scores_gemma":[0.997982,0.0004246826,0.0008707214,0.00006178135,0.0002665755,0.0003941384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004650094,0.0001482391,0.9954014,0.00006582131,0.00003331338,0.0001670341,0.002360099,0.00002303599,0.0001121475,0.00001083984,0.0001076035,0.001523986],"study_design_scores_gemma":[0.000003661658,0.0005055465,0.9887502,0.00003587003,0.00002745398,0.000512031,0.009631492,0.0001602511,0.00005290711,0.000009879219,0.0002982201,0.0000125062],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991772,0.0001091399,0.00003838561,0.00003226932,0.00000275446,0.00002073938,0.0002092908,0.00000153467,0.0004088207],"genre_scores_gemma":[0.9992663,0.0001487544,0.00006455969,0.00004738619,0.000005271568,0.00002845956,0.0001640669,0.000001672902,0.0002735328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00747478,"threshold_uncertainty_score":0.01486254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1992926897610915,"score_gpt":0.571610875750557,"score_spread":0.3723181859894655,"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."}}