{"id":"W4403649277","doi":"10.3389/fped.2024.1457607","title":"Key data elements for a successful pediatric rheumatology virtual visit: a survey within the PR-COIN network","year":2024,"lang":"en","type":"article","venue":"Frontiers in Pediatrics","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; Hospital for Sick Children","funders":"","keywords":"Telemedicine; Medicine; Data collection; Health care; Documentation; Medical emergency; Descriptive statistics; Medical record; Telehealth; Family medicine; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008872403,0.0001320755,0.0003108552,0.0008461907,0.001207915,0.001710815,0.0005917603,0.0007353675,0.003779198],"category_scores_gemma":[0.02483953,0.0003181133,0.0002921166,0.0009964444,0.000572225,0.001920948,0.001983001,0.001310891,0.0004714927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001878097,"about_ca_system_score_gemma":0.00385266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00611474,"about_ca_topic_score_gemma":0.00677071,"domain_scores_codex":[0.9933013,0.00327123,0.0008478836,0.0003417388,0.001071272,0.00116653],"domain_scores_gemma":[0.9803079,0.007976498,0.005155818,0.0004215035,0.002366368,0.003771926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001322369,0.0006196536,0.8629396,0.0009548176,0.00002838668,0.001127085,0.08957637,0.0002418473,0.001181538,0.0004019597,0.004966861,0.03782962],"study_design_scores_gemma":[0.00001727994,0.0007776166,0.7326638,0.000574299,0.00001766413,0.0008579571,0.2490554,0.0008527109,0.0003949726,0.000127475,0.01462297,0.00003791429],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931016,0.0001564137,0.0005928655,0.002555037,0.0000161758,0.0005935106,0.0006889593,0.0000255068,0.002269989],"genre_scores_gemma":[0.9953027,0.0004038355,0.002161776,0.0007705715,0.00001577938,0.0006624137,0.000282059,0.000008102659,0.0003928708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008872403,"threshold_uncertainty_score":0.04692233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303623060137709,"score_gpt":0.3162468066215763,"score_spread":0.2858845006078054,"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."}}