{"id":"W2563685218","doi":"10.1186/s12931-016-0482-9","title":"Validated and longitudinally stable asthma phenotypes based on cluster analysis of the ADEPT study","year":2016,"lang":"en","type":"article","venue":"Respiratory Research","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Research and Development; National Institute of Diabetes and Digestive and Kidney Diseases; Cumming School of Medicine, University of Calgary; Università Cattolica del Sacro Cuore; Karolinska Institutet; Gentofte Hospital; National Institute for Health and Care Research; Universiteit van Amsterdam; University of Southampton; Asthma and Lung UK; Royal Brompton and Harefield NHS Foundation Trust; Wellcome Trust; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Yale University; Temple University; Semmelweis Egyetem; Imperial College London; AstraZeneca","keywords":"Adept; Asthma; Cluster (spacecraft); Phenotype; Medicine; Computational biology; Immunology; Bioinformatics; Biology; Genetics; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005157771,0.000409922,0.0005364702,0.0007770383,0.0006357433,0.001056174,0.0007670826,0.0006386975,0.0008156321],"category_scores_gemma":[0.006751382,0.0001645993,0.0007672898,0.0007280604,0.0003235759,0.0002791428,0.000880696,0.0007338774,0.0002891606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004880774,"about_ca_system_score_gemma":0.0005670832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003675993,"about_ca_topic_score_gemma":0.003962065,"domain_scores_codex":[0.9975256,0.001161961,0.0001842529,0.0006039405,0.0003695631,0.0001546401],"domain_scores_gemma":[0.995813,0.000838566,0.001270423,0.001025127,0.0006985824,0.0003542419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003156664,0.000112537,0.9849321,0.00005573985,0.0004316315,0.0001156881,0.0003359639,0.001040757,0.001955437,0.0001653905,0.00124322,0.006454858],"study_design_scores_gemma":[0.0001549536,0.000414567,0.9911226,0.00003394089,0.000245955,0.0004123687,0.000249615,0.004829701,0.0009010431,0.0003636098,0.001249492,0.00002219276],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947442,0.0001777276,0.001835982,0.00005541639,0.00001129396,0.0000820982,0.002599269,0.0000187027,0.0004754331],"genre_scores_gemma":[0.9940792,0.00003738677,0.001594451,0.00002752629,0.000009446907,0.00009271696,0.003989586,0.00001077501,0.000158917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005157771,"threshold_uncertainty_score":0.02727723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07512023805926042,"score_gpt":0.3781739555873397,"score_spread":0.3030537175280793,"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."}}