{"id":"W4283522732","doi":"10.2196/34826","title":"The Impact of Telemedicine on Physicians’ After-hours Electronic Health Record “Work Outside Work” During the COVID-19 Pandemic: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Telemedicine; Pandemic; Workload; Medicine; Retrospective cohort study; Medical emergency; Cohort; Health care; Emergency medicine; Telehealth; Work (physics); Coronavirus disease 2019 (COVID-19); Acute care; Family medicine; Internal medicine","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":[0.001806762,0.0003459147,0.0003244318,0.001304919,0.0006948225,0.001024821,0.0007516931,0.0006901809,0.001494561],"category_scores_gemma":[0.005379812,0.0005262353,0.0008648356,0.00195394,0.0004320666,0.001043172,0.001034183,0.0007739615,0.0002968144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007494229,"about_ca_system_score_gemma":0.0007899721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154021,"about_ca_topic_score_gemma":0.01795791,"domain_scores_codex":[0.9978092,0.0004896829,0.0002949896,0.0006475095,0.0004052759,0.0003533656],"domain_scores_gemma":[0.9933426,0.001011024,0.003756757,0.000605078,0.0004881405,0.0007965028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005211793,0.00003569106,0.9992707,0.000005642318,0.00003591324,0.00003248875,0.0001259351,0.00001686697,0.00006368782,0.000006001767,0.00006825607,0.0002866495],"study_design_scores_gemma":[0.000004844239,0.00007857418,0.9992414,0.000006311081,0.00001711071,0.00007760257,0.0003529708,0.0001093661,0.00002935831,0.000003525254,0.00007545639,0.000003609741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988726,0.00008862449,0.0001022453,0.00004053499,0.000005708643,0.0000290127,0.0006791924,0.000002599042,0.0001794181],"genre_scores_gemma":[0.9991494,0.00005718883,0.0001026203,0.00005156199,0.00001204523,0.00003509699,0.0004956548,0.000002709928,0.00009373311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0154021,"threshold_uncertainty_score":0.03062493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562080777626189,"score_gpt":0.3899091689561946,"score_spread":0.3642883611799327,"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."}}