{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00149761,0.0003674204,0.0004490269,0.0004803617,0.002770211,0.00008209774,0.0005159007,0.0002475807,0.00006306632],"category_scores_gemma":[0.0002912104,0.0004503201,0.0002300275,0.0008474752,0.00007186933,0.00001616656,0.0006592498,0.001090001,0.000005847849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009954242,"about_ca_system_score_gemma":0.00186051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042462,"about_ca_topic_score_gemma":0.000427892,"domain_scores_codex":[0.9956372,0.0006245458,0.0007098628,0.0009631797,0.0009026023,0.00116265],"domain_scores_gemma":[0.9981985,0.00005976786,0.0003253818,0.0004737649,0.00009077105,0.0008517818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00188819,0.001603335,0.596994,0.001755878,0.0001393455,0.00009699731,0.01628844,0.3571033,0.002507299,0.0002201207,0.001400906,0.02000217],"study_design_scores_gemma":[0.06706832,0.01226643,0.2277904,0.0002036869,0.0004569091,0.000845474,0.0568957,0.02243603,0.001522281,0.0005731704,0.5986896,0.01125198],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910314,0.00124918,0.002749003,0.002608982,0.0005391061,0.0009502142,0.0005132277,0.00007098546,0.0002878705],"genre_scores_gemma":[0.9885062,0.001820725,0.00188957,0.003300214,0.002985283,0.00005031015,0.00132052,0.00009138576,0.00003579779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5972887,"threshold_uncertainty_score":0.9997948,"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."}}