{"id":"W2901808235","doi":"10.1371/journal.pone.0207513","title":"Tumor-based gene expression biomarkers to predict survival following curative intent resection for stage I lung adenocarcinoma","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":4,"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; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Canada Research Chairs; Canadian Institutes of Health Research; Cancer Research Society; Université Laval","keywords":"Adenocarcinoma; Stage (stratigraphy); Oncology; Medicine; Internal medicine; Gene expression profiling; Cancer; Biology; Gene; Gene expression; Genetics","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":[0.0005516741,0.000236355,0.0003656322,0.0008098219,0.0001103925,0.0004188188,0.0002165007,0.0002706437,0.0009008946],"category_scores_gemma":[0.001488062,0.00007614959,0.0002472286,0.0007213665,0.0001424498,0.0001964726,0.0002122271,0.0002767285,0.0002152017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871321,"about_ca_system_score_gemma":0.0003226736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005279729,"about_ca_topic_score_gemma":0.001309486,"domain_scores_codex":[0.9998094,0.00003957482,0.00002103724,0.00004975059,0.00005642197,0.00002377125],"domain_scores_gemma":[0.999311,0.0002530969,0.0002316237,0.0000376471,0.0001070387,0.0000596264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001108939,0.00009520649,0.9559264,0.0001882209,0.0002181615,0.0000827664,0.00004055877,0.001239319,0.02097616,0.0000477454,0.0005668277,0.01950968],"study_design_scores_gemma":[0.00004001059,0.0005338674,0.9805369,0.0000388891,0.0002883346,0.0004703493,0.0001243228,0.00536771,0.01104431,0.0003137981,0.00122805,0.00001351251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931384,0.003348418,0.0009555203,0.0001625597,0.0000134453,0.00001802371,0.001954453,0.00002840476,0.0003807618],"genre_scores_gemma":[0.9959456,0.0005428395,0.001035071,0.00005409277,0.00001871274,0.0000211979,0.002228099,0.000004185204,0.0001501046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009008946,"threshold_uncertainty_score":0.00301379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07454094607116364,"score_gpt":0.3021159527270089,"score_spread":0.2275750066558452,"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."}}