{"id":"W2262187954","doi":"10.1038/ncomms9382","title":"Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis","year":2015,"lang":"en","type":"review","venue":"Nature Communications","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Hospital for Sick Children","funders":"National Human Genome Research Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Cystic fibrosis; Genome-wide association study; Disease; Locus (genetics); Lung disease; Genetic association; Genetics; Lung; Biology; Allele; Genome; Medicine; Gene; Bioinformatics; Genotype; Pathology; Internal medicine; Single-nucleotide polymorphism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001789785,0.0004331727,0.004105482,0.001179163,0.0001315669,0.00006268367,0.00146411,0.0006862925,0.0001810687],"category_scores_gemma":[0.01122053,0.0003522251,0.002575546,0.00326439,0.0001988148,0.0002033991,0.0007813316,0.002389923,0.00003324376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565669,"about_ca_system_score_gemma":0.00097733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001379036,"about_ca_topic_score_gemma":0.0008078727,"domain_scores_codex":[0.9952445,0.00139273,0.001241283,0.000507229,0.001236688,0.0003775563],"domain_scores_gemma":[0.9887642,0.004693819,0.001065852,0.003929003,0.001222117,0.0003249637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005250151,0.004739518,0.02845669,0.08992654,0.7683257,0.00009091663,0.001868455,0.0007482235,0.00001063392,0.001019501,0.05564995,0.04863887],"study_design_scores_gemma":[0.0002096196,0.00001601567,0.007342245,0.0005660968,0.3097602,0.000001170323,0.00003318928,0.0003579248,3.856801e-7,0.0001984046,0.6812382,0.0002765241],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000199462,0.9947135,0.00006677561,0.001063661,0.00004233775,0.001629377,0.002061705,0.00003976012,0.0003629772],"genre_scores_gemma":[0.004530361,0.9825096,0.003034461,0.00006152314,0.0000332686,0.0009317308,0.006593481,0.0000487797,0.002256856],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6255883,"threshold_uncertainty_score":0.9999116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0806171690903237,"score_gpt":0.4162511104283323,"score_spread":0.3356339413380087,"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."}}