{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907653,0.0006708349,0.0006152177,0.001002892,0.0002821156,0.0005059747,0.000505189,0.0005966861,0.002937787],"category_scores_gemma":[0.001099695,0.0002491047,0.001050737,0.0008664899,0.0002676382,0.0001398673,0.0006828412,0.0006705173,0.0004828737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447434,"about_ca_system_score_gemma":0.000344001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003635662,"about_ca_topic_score_gemma":0.006835282,"domain_scores_codex":[0.9996116,0.00005818994,0.00002320276,0.0001842273,0.00007221069,0.00005064537],"domain_scores_gemma":[0.9996246,0.0001423567,0.0001113504,0.00004500361,0.00002425238,0.00005244532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002093222,0.0002231987,0.4052539,0.0005686485,0.001728423,0.006291767,0.0004977693,0.00399649,0.4324491,0.001979203,0.003540364,0.1413779],"study_design_scores_gemma":[0.0003341436,0.0008479992,0.9439519,0.0001415155,0.0008124713,0.006873836,0.0001394044,0.008650597,0.0256744,0.001927048,0.01057784,0.00006880828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733981,0.003224383,0.01855307,0.0002723614,0.00006160915,0.0001578839,0.002923288,0.0002611963,0.0011481],"genre_scores_gemma":[0.9855312,0.0007065834,0.01031041,0.0002040082,0.00002682345,0.00009594794,0.002272821,0.00002287333,0.0008293999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003635662,"threshold_uncertainty_score":0.009827912,"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."}}