{"id":"W2908319631","doi":"10.2196/11233","title":"Use of Telemedicine to Screen Patients in the Emergency Department: Matched Cohort Study Evaluating Efficiency and Patient Safety of Telemedicine","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Telemedicine; Overcrowding; Triage; Emergency department; Emergency medicine; Medical emergency; Cohort; Health care; Internal medicine; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.002435316,0.0002560673,0.0007796722,0.000389614,0.0001006771,0.000005760628,0.0002223913,0.0001085542,0.0004937231],"category_scores_gemma":[0.00184815,0.0001582104,0.00005065064,0.001042663,0.0002611071,0.0001713314,0.0001590509,0.0003252712,0.000007997311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007011446,"about_ca_system_score_gemma":0.0001928632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004450981,"about_ca_topic_score_gemma":0.0002376675,"domain_scores_codex":[0.9933414,0.0001831975,0.002996953,0.0002058266,0.002808694,0.0004638841],"domain_scores_gemma":[0.9974101,0.0003361691,0.0007159425,0.0005102478,0.0006195994,0.0004079282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004538206,0.001131074,0.8898162,0.0003265206,0.00006864333,0.000005703361,0.03523274,0.00000122656,0.00002157175,0.00002360021,0.004672419,0.06824643],"study_design_scores_gemma":[0.005769981,0.01703345,0.9561869,0.0003922588,0.000169768,0.00001597217,0.01706496,0.001255842,0.00009549191,0.000008889258,0.001872679,0.0001338067],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914885,0.00002643339,0.0004897887,0.000995207,0.000227771,0.006342096,0.00003645159,0.00002288246,0.0003708409],"genre_scores_gemma":[0.9952242,0.00007765613,0.001490333,0.002672204,0.0001720393,0.0001859457,0.0001518816,0.00001725182,0.000008507607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06811262,"threshold_uncertainty_score":0.6451632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04360161829257764,"score_gpt":0.3893839276913867,"score_spread":0.3457823093988091,"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."}}