{"id":"W2937286052","doi":"10.1016/j.chest.2019.02.403","title":"CT and Functional MRI to Evaluate Airway Mucus in Severe Asthma","year":2019,"lang":"lt","type":"article","venue":"CHEST Journal","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; Robarts Clinical Trials; St. Joseph’s Healthcare Hamilton; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; International Business Machines Corporation; McMaster University; Canadian Allergy, Asthma and Immunology Foundation; Canadian Institutes of Health Research; Teva Pharmaceutical Industries; Reseau canadien de recherche respiratoire; Sanofi","keywords":"Asthma; Airway; Mucus; Medicine; Radiology; Intensive care medicine; Internal medicine; Anesthesia; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001244661,0.00109588,0.0008298023,0.00288575,0.0006112296,0.0008053965,0.0006707122,0.002523803,0.002565765],"category_scores_gemma":[0.003044377,0.0006136292,0.0008212701,0.0006730452,0.0008642944,0.001308192,0.0005493438,0.001709862,0.0006479841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484327,"about_ca_system_score_gemma":0.0006520862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003053996,"about_ca_topic_score_gemma":0.004322416,"domain_scores_codex":[0.9995857,0.00009285422,0.0001014872,0.00002983785,0.00006632734,0.0001237613],"domain_scores_gemma":[0.9991874,0.0002780952,0.0000899673,0.00004136524,0.0001382692,0.0002648543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007292246,0.001177997,0.6269917,0.0006211593,0.0003501358,0.2723257,0.0003998735,0.001937915,0.03537076,0.0008094286,0.004563164,0.04815994],"study_design_scores_gemma":[0.0003316356,0.002715376,0.7700072,0.0005041142,0.0003571405,0.2024306,0.001176257,0.007289672,0.008803343,0.0009694956,0.005331979,0.00008312021],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507987,0.02160752,0.001424692,0.004289674,0.0002844213,0.0002983892,0.0004452885,0.00008027651,0.02077107],"genre_scores_gemma":[0.9915687,0.004526531,0.001295775,0.000909993,0.0004423652,0.00003482845,0.0002306112,0.000014242,0.0009769636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003053996,"threshold_uncertainty_score":0.008583367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811935403786986,"score_gpt":0.2719785315163772,"score_spread":0.2538591774785073,"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."}}