{"id":"W4387296354","doi":"10.1002/ppul.26712","title":"Identification of obstructive sleep apnea in children with obesity: A cluster analysis approach","year":2023,"lang":"en","type":"article","venue":"Pediatric Pulmonology","topic":"Obstructive Sleep Apnea Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Children's Hospital of Eastern Ontario; Queen's University; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Medicine; Obstructive sleep apnea; Body mass index; Obesity; Internal medicine; Cohort; Polysomnography; Cluster (spacecraft); Sleep apnea; Pediatrics; Apnea; Prospective cohort study; Cohort study","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":[],"consensus_categories":[],"category_scores_codex":[0.0004516089,0.0001709711,0.0005641507,0.002702736,0.00004245001,0.00001027526,0.0002174618,0.0001900372,0.00002850583],"category_scores_gemma":[0.000194815,0.0001481744,0.0001259157,0.006737957,0.000172245,0.0001040125,0.0001380544,0.0003514901,0.000070326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001203187,"about_ca_system_score_gemma":0.0000455736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001296804,"about_ca_topic_score_gemma":0.00002069687,"domain_scores_codex":[0.9979409,0.0001590667,0.0004871399,0.0005657392,0.000393519,0.0004536124],"domain_scores_gemma":[0.9988511,0.0001088542,0.0002236191,0.000521416,0.0001957574,0.0000993202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000185871,0.0002331768,0.9947985,0.00005190161,0.0007463837,0.00001439589,0.0002748082,0.0005510473,0.000341101,0.0001069784,0.00001154364,0.002684287],"study_design_scores_gemma":[0.001240121,0.000120735,0.975933,8.081401e-7,0.001142028,0.00005043392,0.0002460205,0.02067555,0.0003029995,0.0001642904,0.000001807483,0.0001222628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948168,0.0001175379,0.003634506,0.0002285606,0.00004278548,0.0007386056,0.00002409878,0.0000740498,0.0003230913],"genre_scores_gemma":[0.9987878,0.00004349528,0.0005947405,0.00001750109,0.0001344387,0.0001122483,0.0001818394,0.00002506487,0.000102875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0201245,"threshold_uncertainty_score":0.6042375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132204203771097,"score_gpt":0.2667887262954019,"score_spread":0.2554666842576909,"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."}}