{"id":"W4212789344","doi":"10.2196/35187","title":"Patient Portal Messaging for Asynchronous Virtual Care During the COVID-19 Pandemic: Retrospective Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health","keywords":"Pandemic; Asynchronous communication; Patient portal; Coronavirus disease 2019 (COVID-19); Telemedicine; Telehealth; Computer science; Medical emergency; Health care; Work (physics); Retrospective cohort study; Medicine; World Wide Web; Telecommunications; Political science; Internal medicine; Engineering","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000218505,0.000175074,0.0003484547,0.000350387,0.00135701,0.00001867222,0.0001071907,0.00003526687,0.001486612],"category_scores_gemma":[0.00007613005,0.0001307874,0.0002251939,0.0005384895,0.00005383616,0.00005709652,0.00009362435,0.000316695,9.567068e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337595,"about_ca_system_score_gemma":0.0001847468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003869917,"about_ca_topic_score_gemma":0.0004697442,"domain_scores_codex":[0.9981982,0.00008169135,0.0004203564,0.0003581792,0.0005793314,0.0003622323],"domain_scores_gemma":[0.9990234,0.0001021743,0.0002662249,0.0002991875,0.00008651698,0.0002224818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007336991,0.00005785504,0.9710463,0.00007800447,0.0003645468,0.00001883031,0.02620159,0.0001000429,0.0002827888,0.0001872094,0.001135546,0.0004539552],"study_design_scores_gemma":[0.002042068,0.001408622,0.9062802,0.000003858524,0.0005560182,0.00002525209,0.07518436,0.00001937715,0.000130514,0.00003113661,0.01415934,0.0001593035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997072,0.00006569338,0.0002110171,0.0003572283,0.0001182562,0.001533934,0.0002634641,0.0001286881,0.0002497509],"genre_scores_gemma":[0.9967249,0.000002369,0.00001545802,0.001231823,0.0001270733,0.0005986234,0.001104254,0.00002681941,0.0001686608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06476611,"threshold_uncertainty_score":0.9999431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03705768627692183,"score_gpt":0.3690576461242207,"score_spread":0.3319999598472988,"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."}}