{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001933504,0.000178633,0.0004588007,0.0008186629,0.0002516436,0.00003365765,0.0002662407,0.00009749155,0.0004797752],"category_scores_gemma":[0.0007501646,0.00008606047,0.000194833,0.001947953,0.0004594015,0.00007686255,0.000192761,0.0002746528,0.00003351057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009808331,"about_ca_system_score_gemma":0.0004497389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002662957,"about_ca_topic_score_gemma":0.00008166344,"domain_scores_codex":[0.9961658,0.001092323,0.0003681487,0.0004972316,0.001435587,0.000440943],"domain_scores_gemma":[0.9974225,0.0006505711,0.00009438992,0.0009904058,0.0005763436,0.0002657995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001457265,0.00116427,0.9724873,0.00007827466,0.0006046116,0.00004929312,0.0001119186,0.0001132356,0.01362809,0.00003563887,0.001650199,0.008619859],"study_design_scores_gemma":[0.002678337,0.002124778,0.9741485,0.0001674802,0.0004242638,6.459563e-7,0.0002881949,0.0003672507,0.00669361,0.000008501466,0.01296775,0.0001307008],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965881,0.0003393219,0.00006893931,0.0006468158,0.00003308157,0.0008847151,0.00004282227,0.00002854924,0.001367733],"genre_scores_gemma":[0.9983544,0.00000509726,0.00001221049,0.0005194218,0.00007386107,0.00004833504,0.000001856553,0.00002765593,0.0009571318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131755,"threshold_uncertainty_score":0.5253202,"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."}}