{"id":"W4220900300","doi":"10.2196/33092","title":"Treatment Interruptions and Telemedicine Utilization in Serious Mental Illness: Retrospective Longitudinal Claims Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Medicine; Mental illness; Mental health; Pandemic; Population; Emergency department; Psychiatry; Health care; Medical emergency; Emergency medicine; Disease; Coronavirus disease 2019 (COVID-19); 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":[0.002642424,0.0002743623,0.0003774866,0.002221463,0.000654116,0.0009777835,0.0007265076,0.0006445361,0.001924406],"category_scores_gemma":[0.007977497,0.000473229,0.001020043,0.003314364,0.0003924836,0.0009784101,0.001193463,0.001258629,0.0003093533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084234,"about_ca_system_score_gemma":0.001012902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156101,"about_ca_topic_score_gemma":0.01712664,"domain_scores_codex":[0.99812,0.0005093511,0.0004123994,0.0003080818,0.0003822165,0.0002679363],"domain_scores_gemma":[0.9872556,0.002102646,0.008134712,0.0008629718,0.0007323144,0.0009118189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000862709,0.00005596788,0.999118,0.00001070713,0.00005197502,0.00002699866,0.00006964252,0.00004836973,0.00002572499,0.00001279259,0.0001291909,0.0003642775],"study_design_scores_gemma":[0.00001145021,0.0001232581,0.9983791,0.00001850821,0.00004235138,0.0001508964,0.000356173,0.0007138505,0.00003089143,0.00002033449,0.0001456592,0.000007436078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964066,0.0001574874,0.000151259,0.00009254064,0.000005567773,0.00004434524,0.002870739,0.000005789811,0.0002655825],"genre_scores_gemma":[0.9975497,0.00009036413,0.0001404643,0.00005053305,0.00001350191,0.00005561982,0.002035182,0.000002256929,0.00006236816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02156101,"threshold_uncertainty_score":0.04287106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04344030882610481,"score_gpt":0.4087289844367746,"score_spread":0.3652886756106698,"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."}}