{"id":"W2563115712","doi":"10.1158/1055-9965.epi-16-0604","title":"Transcriptomic Microenvironment of Lung Adenocarcinoma","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval","keywords":"Adenocarcinoma; Lung cancer; Transcriptome; Lung; Gene; Cancer research; Biology; Gene expression profiling; Gene expression; Pathology; Cancer; Medicine; Genetics; Internal 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":[0.0001073675,0.0001289293,0.0002357057,0.0005087165,0.0002053953,0.0003713047,0.0001043078,0.000161161,0.001014279],"category_scores_gemma":[0.0002159678,0.0001029764,0.0001340726,0.0004780081,0.0001555243,0.0001234033,0.0002273165,0.0001667194,0.0002883966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142206,"about_ca_system_score_gemma":0.0001771328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007314943,"about_ca_topic_score_gemma":0.001079255,"domain_scores_codex":[0.9998535,0.00002244192,0.000009272418,0.00005182602,0.00004010988,0.00002271692],"domain_scores_gemma":[0.9998733,0.00002698683,0.00003804465,0.00001005549,0.0000324886,0.00001911626],"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":[0.0003945426,0.00002481876,0.05688399,0.0001238968,0.0000409937,0.0002890452,0.0001058203,0.0002433109,0.9376271,0.00006468764,0.0001622696,0.004039459],"study_design_scores_gemma":[0.00001352535,0.000340675,0.8860502,0.00001569416,0.00007397748,0.00145657,0.000611657,0.001650165,0.1064271,0.0001923021,0.003155051,0.00001316006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947085,0.001263355,0.001359877,0.00005419246,0.000008729728,0.00001977175,0.001824965,0.00003169504,0.0007288273],"genre_scores_gemma":[0.9958757,0.0005009618,0.0009801614,0.00004705259,0.00001004733,0.00003368442,0.001995848,0.00000978428,0.0005468463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001014279,"threshold_uncertainty_score":0.003393173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049279153542786,"score_gpt":0.3200029381114387,"score_spread":0.2895101465760109,"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."}}