{"id":"W4396503641","doi":"10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a5274","title":"Predicting Severe Asthma Attacks With Blood Eosinophils and Exhaled Nitric Oxide (FeNO): Initial Data Analysis for the ORACLE Patient-level Meta-analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"GlaxoSmithKline (Canada); Université de Sherbrooke","funders":"","keywords":"Exhaled nitric oxide; Asthma; Oracle; Medicine; Meta-analysis; Internal medicine; Computer science; Spirometry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03521951,0.004040009,0.01160681,0.00114895,0.0006220526,0.003468178,0.002541996,0.001840624,0.004363635],"category_scores_gemma":[0.05551321,0.001396117,0.0557196,0.001638415,0.000781142,0.002165258,0.002304911,0.004091368,0.0006729253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009826145,"about_ca_system_score_gemma":0.001346762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00422197,"about_ca_topic_score_gemma":0.008763442,"domain_scores_codex":[0.9670485,0.02430186,0.002662323,0.003844069,0.001487335,0.0006559192],"domain_scores_gemma":[0.9650218,0.02752008,0.001574582,0.004254715,0.001133039,0.0004958865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.02136349,0.00004087115,0.02391344,0.008904794,0.9357929,0.0001338634,0.00005200871,0.001621059,0.0007735586,0.0001859719,0.001063139,0.006154953],"study_design_scores_gemma":[0.005413495,0.001399076,0.01785328,0.000575079,0.9691078,0.0001898427,0.00005500344,0.002036601,0.000404473,0.000861355,0.002030603,0.00007340786],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3942672,0.4889231,0.07910204,0.003748152,0.003001834,0.002031271,0.02346989,0.001639078,0.003817481],"genre_scores_gemma":[0.9587244,0.01283915,0.01871755,0.001978475,0.0005255468,0.0009783026,0.004428015,0.0004878536,0.001320712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03521951,"threshold_uncertainty_score":0.1862608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1144109069976768,"score_gpt":0.3375895282734482,"score_spread":0.2231786212757714,"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."}}