{"id":"W3182454584","doi":"10.2196/27977","title":"Factors to Effective Telemedicine Visits During the COVID-19 Pandemic: Cohort Study","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Specialty; Medicine; Descriptive statistics; Logistic regression; Medical emergency; Odds; Health care; Odds ratio; Pandemic; Coronavirus disease 2019 (COVID-19); Family medicine; Internal medicine; Disease; Statistics","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":[0.001424838,0.0002286097,0.0002734858,0.0007279599,0.0007081297,0.001085345,0.0005941101,0.0006427765,0.00267727],"category_scores_gemma":[0.005386394,0.0004385649,0.0006042718,0.001249994,0.0002546267,0.001047686,0.0008766819,0.001316784,0.000301624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006214802,"about_ca_system_score_gemma":0.0009892682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0357927,"about_ca_topic_score_gemma":0.03755642,"domain_scores_codex":[0.9990537,0.0001882371,0.0001087387,0.0002006598,0.0001572745,0.000291363],"domain_scores_gemma":[0.9968721,0.0004059756,0.001684723,0.0002440822,0.0002141121,0.0005789589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004426357,0.0000534745,0.9988563,0.000006108771,0.00001970836,0.00003748005,0.000245951,0.00001858017,0.00002825871,0.00001088882,0.000182878,0.0004959852],"study_design_scores_gemma":[0.000004455197,0.00007726085,0.9986615,0.00001540852,0.00001101291,0.00007518978,0.0008456022,0.0001448091,0.00001138584,0.000009179814,0.0001393972,0.000004672316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985429,0.000105462,0.00005645227,0.0001003519,0.000007780244,0.00003066509,0.0007555821,0.000002583098,0.0003982953],"genre_scores_gemma":[0.999137,0.00009749889,0.00005319843,0.00004280631,0.000008686468,0.00003255337,0.0004480221,0.000002818301,0.0001774486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0357927,"threshold_uncertainty_score":0.07116872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04645982017739773,"score_gpt":0.4142190495437487,"score_spread":0.3677592293663509,"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."}}