{"id":"W2335931159","doi":"10.1016/j.rmed.2016.04.001","title":"Assessing biomarkers in a real-world severe asthma study (ARIETTA)","year":2016,"lang":"en","type":"article","venue":"Respiratory Medicine","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"F. Hoffmann-La Roche","keywords":"Medicine; Asthma; Fluticasone propionate; Exacerbation; Quality of life (healthcare); Clinical trial; Asthma exacerbations; Regimen; Exhaled nitric oxide; Internal medicine; Physical therapy; Intensive care medicine; Pediatrics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001275108,0.0004025473,0.0008274235,0.0009223483,0.0001319098,0.00002386659,0.0002061084,0.0001373236,0.0009767991],"category_scores_gemma":[0.0006897258,0.0002316341,0.0001244432,0.001266253,0.0004378649,0.0003620016,0.00008815328,0.0002713571,0.0001096561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552106,"about_ca_system_score_gemma":0.000530337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001532593,"about_ca_topic_score_gemma":0.0004258872,"domain_scores_codex":[0.9964885,0.0004065453,0.000874084,0.0007389702,0.0008870861,0.0006048872],"domain_scores_gemma":[0.9978564,0.0003485587,0.0002254457,0.0008141864,0.000169514,0.0005859213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005738977,0.0007690174,0.8415064,0.0001141866,0.0001538779,0.002061097,0.000302369,6.405243e-7,0.01741793,0.0000719524,0.00820329,0.1288253],"study_design_scores_gemma":[0.01011279,0.001856007,0.8934653,0.001495438,0.0001210303,0.00003040043,0.002202041,0.000006341575,0.0003012535,0.00003290055,0.09004577,0.0003307654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767631,0.001294013,0.00005718972,0.002140376,0.0003594839,0.001051291,0.000005427407,0.0002084815,0.01812059],"genre_scores_gemma":[0.9956309,0.00003366563,0.00005026274,0.002230237,0.0008579317,0.00007463031,0.000004150183,0.00007009067,0.001048158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284945,"threshold_uncertainty_score":0.9999365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0521939918365241,"score_gpt":0.3671054000860979,"score_spread":0.3149114082495738,"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."}}