{"id":"W3015637624","doi":"10.2196/17585","title":"Self-Perceptions of Readiness to Use Electronic Health Records Among Medical Students: Survey Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine","keywords":"Health records; Perception; Psychology; Medical record; Medical education; Electronic health record; Applied psychology; Family medicine; 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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01033498,0.0003010785,0.0009062066,0.0002421595,0.0004965359,0.00002245091,0.001160588,0.000524096,0.002892046],"category_scores_gemma":[0.01159709,0.0002728407,0.00007908051,0.001607989,0.00007512266,0.0002336335,0.0002795495,0.002279387,0.000490651],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176095,"about_ca_system_score_gemma":0.03774693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02367827,"about_ca_topic_score_gemma":0.04148297,"domain_scores_codex":[0.9858974,0.006328208,0.002291525,0.0007631573,0.003328737,0.001391032],"domain_scores_gemma":[0.9931989,0.001506549,0.0006590172,0.0006540209,0.0006770366,0.003304492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009532447,0.002501396,0.886191,0.0006242883,0.00005640415,0.000001317248,0.02249821,2.101863e-7,0.000001421624,0.0001364684,0.08185481,0.006039168],"study_design_scores_gemma":[0.001233873,0.001648585,0.9576463,0.000594152,0.00001855287,0.000002599614,0.01038168,0.0002065177,3.650522e-7,0.00001383145,0.02803774,0.0002158745],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576307,0.00008529987,0.0005430633,0.03293308,0.001845354,0.00648901,0.00001741774,0.0002624058,0.0001936742],"genre_scores_gemma":[0.975095,0.000252073,0.0001148884,0.01984716,0.001210444,0.002571686,0.0001530725,0.00007279748,0.0006828175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07145525,"threshold_uncertainty_score":0.9999724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0554747344513864,"score_gpt":0.5085687676477675,"score_spread":0.4530940331963811,"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."}}