{"id":"W2253023849","doi":"10.1093/carcin/bgv165","title":"Fine mapping of chromosome 5p15.33 based on a targeted deep sequencing and high density genotyping identifies novel lung cancer susceptibility loci","year":2015,"lang":"en","type":"article","venue":"Carcinogenesis","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; Toronto Public Health; Ontario Institute for Cancer Research; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institute of General Medical Sciences; Cancer Research UK; World Health Organization","keywords":"Locus (genetics); Genotyping; Biology; Single-nucleotide polymorphism; Lung cancer; Genetics; Lung cancer susceptibility; Adenocarcinoma; Chromosome; Cancer; Gene; Genotype; Oncology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0002713361,0.0001958467,0.0002571732,0.0000752384,0.0001221546,0.00002534448,0.0001333599,0.0001357836,0.0000280196],"category_scores_gemma":[0.0001021407,0.0001973702,0.00008372924,0.0001310753,0.0001007636,0.000008914856,0.000118803,0.00005969873,0.000001057529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001337787,"about_ca_system_score_gemma":0.0002745252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336624,"about_ca_topic_score_gemma":0.0008580636,"domain_scores_codex":[0.9988096,0.0000628397,0.0002998681,0.0004081994,0.0001632921,0.0002562047],"domain_scores_gemma":[0.9990523,0.00001961289,0.0001437471,0.0003724184,0.000294455,0.0001174293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006171976,0.00003192534,0.11686,0.0001516054,0.00006874093,0.000002564343,0.0004064616,0.003996292,0.8780819,0.00003648449,0.00006347088,0.0002388581],"study_design_scores_gemma":[0.0008621848,0.0001068523,0.1623135,0.00004369477,0.00008282599,0.000009250371,0.0005453368,0.005868245,0.8297477,0.00003861096,0.00008614345,0.0002956779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929931,0.00170247,0.004681324,0.0000697785,0.0001546804,0.0001972449,0.0001436577,0.00001514497,0.00004265378],"genre_scores_gemma":[0.9982346,0.00003103232,0.001188327,0.000101197,0.0001694979,0.00002801689,0.0001472623,0.00002258614,0.00007744579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04833423,"threshold_uncertainty_score":0.8048522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02116227680505728,"score_gpt":0.233560648900235,"score_spread":0.2123983720951777,"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."}}