{"id":"W3196736743","doi":"10.2196/29880","title":"Quantifying the Impact of COVID-19 on Telemedicine Utilization: Retrospective Observational Study","year":2021,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health; University of South Florida","keywords":"Telemedicine; Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Health care; Medical emergency; Per capita; Observational study; Family medicine; Environmental health; Political science; Population","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":[0.003566172,0.0003354496,0.0005442999,0.001666927,0.0006413207,0.001060001,0.0007941471,0.0007915078,0.001955174],"category_scores_gemma":[0.01008258,0.000606651,0.001012894,0.003349903,0.0005373048,0.001252634,0.001276362,0.00125729,0.0004008976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111702,"about_ca_system_score_gemma":0.00135054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01761756,"about_ca_topic_score_gemma":0.01285502,"domain_scores_codex":[0.9967168,0.0008995971,0.000756876,0.0006992262,0.0005619928,0.0003655084],"domain_scores_gemma":[0.9874112,0.002890491,0.006649616,0.001030052,0.001125711,0.0008928856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004638163,0.00004364246,0.9989631,0.00002271951,0.00004628097,0.00002373125,0.00007260308,0.0000426166,0.00002831097,0.00002026313,0.0002181898,0.0004721659],"study_design_scores_gemma":[0.00001276492,0.0001733411,0.9977723,0.00004346532,0.00005598334,0.0002182157,0.0006860541,0.0004957118,0.00004500061,0.00002994858,0.0004550806,0.0000121585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929543,0.0003890005,0.0005932896,0.00009858725,0.00001050889,0.0001241876,0.00505459,0.00001084829,0.0007646511],"genre_scores_gemma":[0.9958346,0.0002407975,0.0004442516,0.0001193654,0.00001917449,0.0001302471,0.003114468,0.000006204763,0.00009085474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01761756,"threshold_uncertainty_score":0.03503001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5733101517048779,"score_gpt":0.6440900193863673,"score_spread":0.07077986768148947,"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."}}