{"id":"W4307054444","doi":"10.1093/pch/pxac100.096","title":"97 COVID Check-In: Optimizing Cleft & Craniofacial Team Care during COVID-19 using an on-line social paediatrics screening instrument","year":2022,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Cleft Lip and Palate Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"","keywords":"Psychosocial; Medicine; Psychological intervention; Multidisciplinary approach; Family medicine; Health care; Nursing; Pandemic; Coronavirus disease 2019 (COVID-19); Computer-assisted web interviewing; Telehealth; Public health; Telemedicine; Psychiatry; Disease; Business","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":[0.005354824,0.000400072,0.0003122518,0.0009872674,0.0007792509,0.001003799,0.0006476328,0.000444553,0.004427823],"category_scores_gemma":[0.0137525,0.0003260131,0.0006595389,0.0006038783,0.0003032916,0.0006344347,0.002098335,0.0006872526,0.0008906025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857366,"about_ca_system_score_gemma":0.003260552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009680104,"about_ca_topic_score_gemma":0.01702714,"domain_scores_codex":[0.9960459,0.001824383,0.0007580382,0.0002364146,0.0005549915,0.000580251],"domain_scores_gemma":[0.9930864,0.001844866,0.002145994,0.0002803668,0.001484697,0.001157689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001737903,0.001403789,0.8982085,0.0002722511,0.0000403412,0.0002480548,0.003180014,0.0003070371,0.0006668507,0.0001299291,0.008983934,0.08638552],"study_design_scores_gemma":[0.00004916974,0.001177205,0.9838064,0.0002707252,0.00002409463,0.0002444595,0.005303902,0.001263583,0.001082597,0.00005711062,0.006687952,0.00003277967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814399,0.0001437943,0.001395883,0.0008986769,0.00007611867,0.003498801,0.003307949,0.0001410343,0.009097793],"genre_scores_gemma":[0.9777853,0.0003884911,0.01149005,0.0006355316,0.00005262595,0.005030333,0.002668885,0.00002777989,0.001921048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009680104,"threshold_uncertainty_score":0.02831936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06199108867545004,"score_gpt":0.3518305462918724,"score_spread":0.2898394576164224,"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."}}