{"id":"W4309438660","doi":"10.1111/medu.14976","title":"Learners and EHRs: A path forward","year":2022,"lang":"en","type":"letter","venue":"Medical Education","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Regional Municipality of Niagara","funders":"","keywords":"Path (computing); Psychology; Computer science; Mathematics education; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01896621,0.0009684432,0.001086564,0.0007254377,0.01135218,0.01679553,0.002854709,0.09804264,0.02358422],"category_scores_gemma":[0.0362573,0.0007259166,0.001494437,0.000663729,0.01253328,0.02420937,0.01189208,0.07553721,0.008922294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008502829,"about_ca_system_score_gemma":0.03483927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286691,"about_ca_topic_score_gemma":0.02671847,"domain_scores_codex":[0.9796444,0.007085815,0.001399135,0.001736892,0.007460293,0.002673421],"domain_scores_gemma":[0.953896,0.02108212,0.001989625,0.001253769,0.00625792,0.01552065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005641476,0.0001875998,0.001680749,0.000119392,0.00001595692,0.001313139,0.001858,0.0000994941,0.0004028186,0.02261546,0.9345449,0.03710598],"study_design_scores_gemma":[0.00006777268,0.0001222381,0.00081204,0.0005091646,0.00001530646,0.001147251,0.005847739,0.0003242755,0.0001802583,0.02062695,0.9702808,0.00006616442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002155573,0.0004000859,0.0001088321,0.9958989,0.001496965,0.000004475268,0.000004563557,0.00001293677,0.001857627],"genre_scores_gemma":[0.00485653,0.001160441,0.0006749759,0.9742312,0.007871503,0.00002715464,0.00001130774,0.00002510287,0.01114183],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09804264,"threshold_uncertainty_score":0.1003041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363510131492813,"score_gpt":0.4437891881364119,"score_spread":0.4101540868214838,"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."}}