{"id":"W4286544819","doi":"10.2196/36096","title":"Assessing Medical Student Readiness to Navigate Language Barriers in Telehealth: Cross-sectional Survey Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; National Heart, Lung, and Blood Institute","keywords":"Telehealth; Interpreter; Test (biology); Limited English proficiency; Medical education; Psychology; Medicine; Health care; Telemedicine; Pandemic; Language barrier; Cross-sectional study; Family medicine; Nursing; Coronavirus disease 2019 (COVID-19); Computer 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":[0.00264352,0.0002040128,0.0003430505,0.0009768235,0.0004635254,0.0008982298,0.0004964967,0.0007463695,0.002173617],"category_scores_gemma":[0.006901253,0.0004107532,0.000380323,0.001093205,0.0003900617,0.001001901,0.001079975,0.0008001869,0.0006158953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005641583,"about_ca_system_score_gemma":0.0007833536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002340501,"about_ca_topic_score_gemma":0.003260847,"domain_scores_codex":[0.9985348,0.0004045514,0.0002412886,0.0001707654,0.0003588465,0.0002896783],"domain_scores_gemma":[0.9946752,0.001203136,0.00203135,0.0001938651,0.0008061582,0.001090368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002706682,0.0002255601,0.9964771,0.00002873139,0.00001523945,0.00003355976,0.001089887,0.00001973556,0.0001220049,0.000009542965,0.0001548944,0.001796759],"study_design_scores_gemma":[0.000008335256,0.0004299326,0.9946411,0.00002664869,0.00001088302,0.000135185,0.004071352,0.0001907205,0.0000925872,0.00001053122,0.000376505,0.000006262842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994006,0.00004113918,0.00005455147,0.00007886036,0.000002710795,0.00003563608,0.0001430498,0.000002483427,0.0002408754],"genre_scores_gemma":[0.9994363,0.00007579086,0.0001238842,0.00009212929,0.000003946985,0.00004478054,0.0001213256,0.000001242644,0.0001005386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00264352,"threshold_uncertainty_score":0.01398045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07342468466670642,"score_gpt":0.5903482282499373,"score_spread":0.5169235435832309,"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."}}