{"id":"W4246753462","doi":"10.1158/1538-7445.sabcs18-1583","title":"Abstract 1583: Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development","year":2019,"lang":"en","type":"article","venue":"Epidemiology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Carcinogenesis; Gene; Lung cancer; Cancer; Genetics; Biology; Cancer research; Computational biology; Bioinformatics; Medicine; Oncology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008508409,0.0002660709,0.0005871897,0.0001742711,0.00006615955,0.00001265201,0.000176279,0.0004823064,0.00009087256],"category_scores_gemma":[0.00007280002,0.0002469103,0.0001371148,0.0002502684,0.00008097182,0.000009477714,0.0001522017,0.0002137096,0.000007173586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006309496,"about_ca_system_score_gemma":0.00008767016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003646909,"about_ca_topic_score_gemma":0.001534027,"domain_scores_codex":[0.9978771,0.0001251761,0.0009318397,0.0005267755,0.00005893469,0.0004802245],"domain_scores_gemma":[0.9989213,0.0001409915,0.0004019092,0.0003389234,0.00005359107,0.0001432351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005266921,0.00002862397,0.7754462,0.00003887589,0.0006466298,0.000001512963,0.00006414586,0.1959278,0.007619613,0.00001920353,0.0002937519,0.01986091],"study_design_scores_gemma":[0.0006133978,0.00004132085,0.8566704,0.00003893154,0.0001398237,0.000008907848,0.00004763186,0.1379975,0.0004384563,0.00002673242,0.003625959,0.0003509401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738499,0.01511743,0.009927357,0.0001854027,0.000410516,0.0003225119,0.000006249767,0.0000118252,0.0001688057],"genre_scores_gemma":[0.9918486,0.003333062,0.003459153,0.0005671277,0.0001685903,0.00006153483,0.0002023902,0.00002445351,0.0003351062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0812242,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410147519117765,"score_gpt":0.282849051526963,"score_spread":0.2687475763357854,"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."}}