{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001512144,0.000280224,0.0006361459,0.0001956354,0.0003173792,0.00002824886,0.0002161221,0.0001491794,0.001545156],"category_scores_gemma":[0.003449664,0.0001620202,0.00009342399,0.0008355321,0.00009385313,0.0001360755,0.000205839,0.0007317042,0.00007380165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004191663,"about_ca_system_score_gemma":0.0007825256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080817,"about_ca_topic_score_gemma":0.0002528656,"domain_scores_codex":[0.995868,0.0001708568,0.001182145,0.0002265984,0.002000566,0.0005518141],"domain_scores_gemma":[0.9965491,0.0007841249,0.0002243201,0.0005442174,0.0002409884,0.001657269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008569768,0.0002600571,0.9583943,0.0004962025,0.0002050772,0.0001399353,0.02249727,0.00000205431,0.00002959374,0.00001811062,0.008881969,0.00898976],"study_design_scores_gemma":[0.004950549,0.0009884182,0.9123927,0.00009743972,0.0001878883,0.000418778,0.03307225,0.0000941924,0.0001245911,0.00001046287,0.04749608,0.0001666454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867152,0.00004902392,0.001213104,0.006223985,0.0003100631,0.004622721,0.00001480031,0.0002007345,0.0006503829],"genre_scores_gemma":[0.9659691,0.00003771709,0.0001340844,0.03234552,0.0004788079,0.0005496205,0.0001498866,0.00002395408,0.0003113038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04600157,"threshold_uncertainty_score":0.9993676,"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."}}