{"id":"W3037910339","doi":"10.2196/17030","title":"Understanding Medical Students’ Attitudes Toward Learning eHealth: Questionnaire Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Medical education; Psychology; Medicine; Health care; 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":[0.005824876,0.0003008176,0.0007117725,0.001528295,0.0005894551,0.001061185,0.0004372702,0.001035298,0.003712706],"category_scores_gemma":[0.01278515,0.0004413354,0.0008515352,0.001151606,0.0006260921,0.001272829,0.001359579,0.001201785,0.0009473817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007317405,"about_ca_system_score_gemma":0.0009056182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008511215,"about_ca_topic_score_gemma":0.0008285271,"domain_scores_codex":[0.9975091,0.0006561052,0.0003921154,0.000246931,0.0006994915,0.0004961902],"domain_scores_gemma":[0.9906142,0.003475791,0.002457434,0.0002273358,0.001442104,0.001783094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001937004,0.001536626,0.9538948,0.0003165477,0.00006966054,0.0002389644,0.0196047,0.0001880058,0.001133268,0.0001003318,0.001128994,0.02159441],"study_design_scores_gemma":[0.00007306111,0.00242731,0.9648171,0.0001757224,0.00005598959,0.0005235316,0.02556834,0.0008383614,0.0006056762,0.00009757245,0.004763088,0.00005420583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986161,0.0001072255,0.0001748909,0.0002057237,0.000008806885,0.0001227344,0.000159873,0.000006212411,0.0005984043],"genre_scores_gemma":[0.997937,0.0002573981,0.00052331,0.0002869956,0.00001475306,0.0002231635,0.0001578103,0.000004365801,0.0005953335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005824876,"threshold_uncertainty_score":0.03080529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1657430703688841,"score_gpt":0.5316379929732048,"score_spread":0.3658949226043208,"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."}}