{"id":"W4317734450","doi":"10.1038/s41390-023-02481-w","title":"Scheduled and attended pediatric primary care telemedicine appointments during COVID-19","year":2023,"lang":"en","type":"article","venue":"Pediatric Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"H2020 European Research Council; National Institute of Mental Health; Health Resources and Services Administration; Patient-Centered Outcomes Research Institute","keywords":"Telemedicine; Medicine; Quarter (Canadian coin); Attendance; Coronavirus disease 2019 (COVID-19); Family medicine; Primary care; Pediatrics; Logistic regression; Health care; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004893112,0.0003975611,0.0005431693,0.0021193,0.003195656,0.00265586,0.001595175,0.001090439,0.01891684],"category_scores_gemma":[0.01938565,0.0006398143,0.000624345,0.001512423,0.0004587985,0.001568032,0.003900595,0.002473255,0.002387349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007879316,"about_ca_system_score_gemma":0.0124604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07614259,"about_ca_topic_score_gemma":0.1591168,"domain_scores_codex":[0.9924345,0.001828507,0.001124344,0.000977713,0.001294971,0.002339914],"domain_scores_gemma":[0.9788458,0.003358218,0.00481099,0.0007840427,0.004254037,0.007946845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001348773,0.001496247,0.8209014,0.000806201,0.0001163557,0.00120084,0.009166246,0.0002142723,0.001565541,0.0009538022,0.06703909,0.0951912],"study_design_scores_gemma":[0.0000658935,0.0004392679,0.9683735,0.0004667321,0.00002867621,0.0003056136,0.007534305,0.0002689341,0.0005948698,0.0001051054,0.02178546,0.00003178535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8543739,0.001744646,0.001760632,0.00716922,0.001066938,0.003146484,0.0498343,0.0006341218,0.0802697],"genre_scores_gemma":[0.9364336,0.001280199,0.005175737,0.005386226,0.0007258916,0.003802263,0.02064129,0.0002072297,0.02634749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07614259,"threshold_uncertainty_score":0.1513988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156557823420107,"score_gpt":0.4554447562785044,"score_spread":0.3397889739364938,"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."}}