{"id":"W4224319035","doi":"10.21203/rs.3.rs-1581727/v1","title":"SARS-CoV-2 infection in technology dependent children: a multicenter case series","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; McMaster University; McGill University; University of Ottawa; University of British Columbia; University of Manitoba; University of Calgary; Dalhousie University; Western University; University of Toronto; Université de Montréal; University of Saskatchewan; University of Alberta","funders":"","keywords":"Medicine; Demographics; Mechanical ventilation; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Pediatrics; Coronavirus disease 2019 (COVID-19); Stage (stratigraphy); Ventilation (architecture); Emergency medicine; Anesthesia; Internal medicine; Demography; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003122271,0.0004591422,0.0003679916,0.0008649889,0.001060194,0.0007239746,0.0004198472,0.0006553667,0.001533854],"category_scores_gemma":[0.001371037,0.0003496995,0.000330886,0.001017549,0.0007189832,0.0006150081,0.0007612794,0.0007112735,0.0002260123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008527783,"about_ca_system_score_gemma":0.0008256221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00413689,"about_ca_topic_score_gemma":0.005116483,"domain_scores_codex":[0.9995847,0.00006926205,0.00006072769,0.00009990604,0.00006543799,0.0001199202],"domain_scores_gemma":[0.998993,0.000180887,0.0004170516,0.0000757139,0.00007131707,0.0002620157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.00004837536,0.00009246791,0.9555907,0.00002036497,0.00001493631,0.04185575,0.0005087653,0.00003702928,0.0003370507,0.00006544799,0.0002805459,0.001148519],"study_design_scores_gemma":[0.00003534376,0.0004765519,0.7692575,0.00004633788,0.00003059422,0.2246512,0.00401434,0.0002563487,0.0003058049,0.00006062388,0.0008458608,0.00001942014],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993324,0.0001447442,0.00004483848,0.00005220676,0.000005488062,0.0000174964,0.00006935725,0.000001919438,0.0003315723],"genre_scores_gemma":[0.9995473,0.000129209,0.00009291594,0.00004379313,0.00001990905,0.00001132799,0.00009120739,0.000002005578,0.00006234917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00413689,"threshold_uncertainty_score":0.00822562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276207608985677,"score_gpt":0.5167534009282978,"score_spread":0.3891326400297301,"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."}}