{"id":"W4410268552","doi":"10.1164/ajrccm.2025.211.abstracts.a1352","title":"Biomarkers Poorly Distinguish Nasal Polyposis History in Patients Participating in Asthma Clinical Trials: Findings from the ORACLE2 Patient-level Meta-analysis","year":2025,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Otitis Media and Relapsing Polychondritis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Institut universitaire de cardiologie et de pneumologie de Québec; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Medicine; Asthma; Clinical trial; MEDLINE; Meta-analysis; Intensive care medicine; Internal medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003958031,0.0002707374,0.002793179,0.0006457755,0.00008409631,0.00001935877,0.0001885786,0.0001356848,0.0002381144],"category_scores_gemma":[0.03146831,0.0001615059,0.0008206826,0.001079754,0.001768198,0.00009243028,0.00005902675,0.0009736372,9.261125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398929,"about_ca_system_score_gemma":0.0003214962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007687268,"about_ca_topic_score_gemma":0.00032931,"domain_scores_codex":[0.9933357,0.002544808,0.00263324,0.0003942636,0.0007087854,0.0003832131],"domain_scores_gemma":[0.9908366,0.007341488,0.0006056969,0.0003063998,0.0005067743,0.0004030995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001017998,0.0002722622,0.9141746,0.00004151998,0.006883576,0.0002928974,0.002630681,8.375946e-7,0.00003513409,0.00005865005,0.004987468,0.06960442],"study_design_scores_gemma":[0.005686374,0.00589114,0.9100221,0.0006669228,0.05243114,0.000009541042,0.01187861,0.00002189988,0.00003301507,0.00006702704,0.01305046,0.0002417548],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9630389,0.02778761,0.0001212809,0.00611019,0.002484917,0.0002274648,0.00004513803,0.000009509969,0.0001750434],"genre_scores_gemma":[0.9904749,0.00008096926,0.0004436645,0.008669001,0.0002569021,0.00002326212,0.000009838511,0.00001793034,0.00002350424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06936266,"threshold_uncertainty_score":0.9766901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1437225200088639,"score_gpt":0.4215066565178239,"score_spread":0.2777841365089601,"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."}}