{"id":"W3085411495","doi":"10.1002/gepi.22358","title":"Integration of multiomic annotation data to prioritize and characterize inflammation and immune‐related risk variants in squamous cell lung cancer","year":2020,"lang":"en","type":"article","venue":"Genetic Epidemiology","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; BC Cancer Agency; Princess Margaret Cancer Centre; University Health Network; University of British Columbia; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; Sun Yat-sen University; Sun Yat-sen University Cancer Center; National Cancer Institute; National Institutes of Health; National Human Genome Research Institute; World Health Organization","keywords":"Genome-wide association study; Single-nucleotide polymorphism; Lung cancer; Genetic association; Biology; Cancer; Computational biology; Bioinformatics; Genetics; Medicine; Oncology; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002652798,0.0008229226,0.0009646051,0.002704075,0.0006636762,0.001614868,0.0007181629,0.0006688378,0.001165258],"category_scores_gemma":[0.005045316,0.0003480728,0.001646103,0.002405358,0.0003891262,0.0008728656,0.00197633,0.0009402838,0.000362223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006257119,"about_ca_system_score_gemma":0.001525131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125193,"about_ca_topic_score_gemma":0.02705511,"domain_scores_codex":[0.998745,0.0005563978,0.00008212364,0.0003488792,0.0001618815,0.0001056095],"domain_scores_gemma":[0.9977911,0.00121934,0.0002633845,0.0003167599,0.0002665672,0.0001428901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001689374,0.0005980355,0.5545378,0.0008587218,0.002667811,0.001062727,0.001107349,0.2496553,0.04042979,0.009047329,0.006816922,0.1315288],"study_design_scores_gemma":[0.000144281,0.0002639999,0.1721503,0.0001860484,0.0009897229,0.0003369897,0.000612346,0.7702668,0.005431854,0.03442234,0.01501119,0.0001841035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7472174,0.004035647,0.2133599,0.002417031,0.0001710727,0.0002546305,0.02590665,0.002076555,0.004561012],"genre_scores_gemma":[0.8763892,0.001229671,0.09440469,0.0005182758,0.00008483761,0.0002137803,0.02575967,0.0002918008,0.001108191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125193,"threshold_uncertainty_score":0.02489287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03422783150808777,"score_gpt":0.3257158549138454,"score_spread":0.2914880234057576,"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."}}