{"id":"W3107215693","doi":"10.1101/2020.11.26.20236760","title":"Genetic associations and architecture of asthma-chronic obstructive pulmonary disease overlap","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; University of British Columbia","funders":"NIHR Nottingham Biomedical Research Centre; Mitacs; NIHR Leicester Biomedical Research Centre; National Institutes of Health; University of Leicester; National Institute for Health and Care Research; Medical Research Council; National Heart, Lung, and Blood Institute; British Lung Foundation; UK Research and Innovation; British Heart Foundation; Wellcome Trust","keywords":"Asthma; COPD; Biobank; Pulmonary disease; Medicine; Genetic architecture; Disease; Chromosome; Internal medicine; Bioinformatics; Biology; Genetics; Environmental health; Gene; Population; Quantitative trait locus","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":[0.001643597,0.0004428255,0.0007194342,0.001653892,0.0005318619,0.001319664,0.0005429897,0.0008884714,0.003120932],"category_scores_gemma":[0.004814622,0.0003648764,0.0008462048,0.001783194,0.0008832407,0.0003247013,0.001162979,0.0007997135,0.0002142958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255883,"about_ca_system_score_gemma":0.0003176175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399049,"about_ca_topic_score_gemma":0.003474595,"domain_scores_codex":[0.9979787,0.0007888579,0.0001535887,0.0006129758,0.0002480928,0.0002178053],"domain_scores_gemma":[0.9957498,0.002166281,0.00123244,0.0003953393,0.000169963,0.0002860353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006815276,0.00004285335,0.9814649,0.00007484171,0.001135775,0.0007726174,0.0002122318,0.0004280121,0.008859897,0.0007079919,0.0002929858,0.005326458],"study_design_scores_gemma":[0.00006417403,0.00009696978,0.9935423,0.00004213865,0.0007889442,0.001267807,0.0001494694,0.001004813,0.0008530993,0.001706908,0.0004694788,0.00001382586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949765,0.001863162,0.001201473,0.0004287659,0.00002194458,0.000009551285,0.0003573753,0.00002920815,0.001111984],"genre_scores_gemma":[0.9990467,0.0001906802,0.0003529036,0.00004883845,0.00002523551,0.000004539722,0.0001813382,0.000007623717,0.0001420435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003399049,"threshold_uncertainty_score":0.01044053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344317351827741,"score_gpt":0.2589414311138663,"score_spread":0.2454982575955889,"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."}}