{"id":"W4416638786","doi":"10.1183/13993003.congress-2025.pa3785","title":"Assessing spirometric parameters in children with sickle cell disease: GLI Global vs. race-specific normative equations","year":2025,"lang":"","type":"article","venue":"","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Spirometry; Normative; Test (biology); Guideline; 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":[0.009096596,0.0004162266,0.0004767528,0.001745476,0.0001603664,0.0007051232,0.0005956298,0.0003280453,0.0007050191],"category_scores_gemma":[0.0167741,0.0001571164,0.0004297483,0.001326142,0.0004333013,0.000646784,0.0007331032,0.0004276479,0.0003683828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006023857,"about_ca_system_score_gemma":0.0006934601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007061973,"about_ca_topic_score_gemma":0.01379764,"domain_scores_codex":[0.9971889,0.0007872453,0.0006008411,0.0004128123,0.0009061721,0.0001040747],"domain_scores_gemma":[0.99202,0.002523323,0.002203244,0.0008897425,0.002105373,0.0002583357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004305258,0.000005919834,0.9930252,0.00003038257,0.00003569929,0.0000317733,0.0000833965,0.0001589286,0.0002493909,0.0000718017,0.0003773428,0.005887121],"study_design_scores_gemma":[0.000003935258,0.00006324191,0.9967662,0.00003992682,0.00003496396,0.0003887612,0.000117105,0.00128855,0.0004664668,0.00006520694,0.0007594149,0.000006137756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780083,0.002460543,0.01073925,0.0003099661,0.00005880314,0.0001178149,0.004162693,0.0001393543,0.004003366],"genre_scores_gemma":[0.9859129,0.0004133722,0.009718172,0.00009414583,0.00002316645,0.0001030466,0.003431455,0.00003391878,0.0002698086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009096596,"threshold_uncertainty_score":0.04810798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202762994350627,"score_gpt":0.2686222399422943,"score_spread":0.2565946099987881,"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."}}