{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003206954,0.0002424625,0.0004439089,0.0001340676,0.001509069,0.0000286662,0.0007811983,0.0005399824,0.005066826],"category_scores_gemma":[0.006084185,0.0002218789,0.00006299932,0.0006780488,0.0001201962,0.0001456072,0.000264617,0.002730552,0.001013047],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008750481,"about_ca_system_score_gemma":0.01336261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004592893,"about_ca_topic_score_gemma":0.0003543863,"domain_scores_codex":[0.9928461,0.001429616,0.001308221,0.0006600064,0.002929227,0.0008268185],"domain_scores_gemma":[0.994736,0.000555515,0.0004038536,0.000315151,0.0002293767,0.003760078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008716428,0.001781888,0.9011814,0.001341439,0.00002209095,0.000006125283,0.01433872,0.000001587632,8.08829e-7,0.01058343,0.05209991,0.0185554],"study_design_scores_gemma":[0.004411951,0.001092307,0.7360148,0.002073995,0.00005602606,0.000009817897,0.04976159,0.0008327509,4.255465e-7,0.001093379,0.2041531,0.0004998817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5468251,0.0009687815,0.0108027,0.4169986,0.004053584,0.01510679,0.000004498243,0.001279624,0.003960381],"genre_scores_gemma":[0.9422834,0.0004730409,0.00006973909,0.04290106,0.00246331,0.01138448,0.0000658732,0.0000448186,0.0003142888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3954583,"threshold_uncertainty_score":0.9997908,"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."}}