{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003186213,0.000214005,0.0002624679,0.002264474,0.000512254,0.0008633786,0.000456342,0.000371332,0.001296178],"category_scores_gemma":[0.01155851,0.000312234,0.0005235007,0.002461626,0.0003530082,0.000849314,0.001021936,0.0005423579,0.000276819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005358367,"about_ca_system_score_gemma":0.0007769812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004366644,"about_ca_topic_score_gemma":0.004571639,"domain_scores_codex":[0.9966592,0.001107063,0.0007987404,0.0004991242,0.0006093427,0.00032649],"domain_scores_gemma":[0.9874513,0.003187502,0.00656729,0.001012476,0.001248926,0.0005324352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004459716,0.00001597728,0.9981345,0.0000259253,0.00002533464,0.00003897799,0.0002037085,0.00001594822,0.00005169647,0.00002401717,0.0001863382,0.00123302],"study_design_scores_gemma":[0.00000735047,0.0001683579,0.9954567,0.00006026203,0.00006734189,0.0004404794,0.001849238,0.0004901257,0.0002299869,0.00002865274,0.001191673,0.00001000812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960734,0.0003560836,0.0006173945,0.0001118525,0.00001139577,0.000121346,0.002017573,0.00001262268,0.0006784164],"genre_scores_gemma":[0.9980469,0.0001788532,0.0003806791,0.00008162633,0.00001475167,0.00009678632,0.001102499,0.000005661436,0.00009230906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004366644,"threshold_uncertainty_score":0.01685047,"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."}}