{"id":"W3112394590","doi":"10.1002/mco2.46","title":"Pathway‐extended gene expression signatures integrate novel biomarkers that improve predictions of patient responses to kinase inhibitors","year":2020,"lang":"en","type":"article","venue":"MedComm","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cytodiagnostics (Canada); London Health Sciences Centre; Western University","funders":"Compute Canada","keywords":"Erlotinib; Lapatinib; Sunitinib; Gefitinib; Sorafenib; Pharmacogenomics; Tyrosine kinase; Tyrosine-kinase inhibitor; Cancer; Precision medicine; Drug; Personalized medicine; Medicine; Computational biology; Pharmacology; Bioinformatics; Biology; Cancer research; Epidermal growth factor receptor; Internal medicine; Breast cancer; Receptor; Hepatocellular carcinoma","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":[0.0004683785,0.0002877844,0.0003027245,0.0005731542,0.00006087147,0.0004530308,0.0001422778,0.000189629,0.000506934],"category_scores_gemma":[0.0009557884,0.0001116782,0.0003171451,0.0003228539,0.0001230455,0.0003017253,0.0002538009,0.0002781471,0.0001143699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000277276,"about_ca_system_score_gemma":0.000287189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005757885,"about_ca_topic_score_gemma":0.0007987862,"domain_scores_codex":[0.9998117,0.00006187012,0.00001523749,0.00004701465,0.00004253768,0.00002162032],"domain_scores_gemma":[0.9996479,0.0001397655,0.0001059599,0.00003366639,0.00005488002,0.00001777664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001914819,0.000427023,0.2897406,0.0001555808,0.0004397666,0.0002698905,0.0001101211,0.3202178,0.1672762,0.001625422,0.0007769175,0.2170459],"study_design_scores_gemma":[0.00004011332,0.0005298995,0.06466381,0.00001686158,0.0001251116,0.0002010465,0.00004405309,0.8973284,0.03344662,0.002246395,0.00133216,0.0000256236],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972473,0.0003467629,0.02570806,0.0001047948,0.000009677207,0.00002157993,0.0004779052,0.0001804052,0.0006777741],"genre_scores_gemma":[0.9943625,0.00008069473,0.005055747,0.0000169525,0.000006490533,0.000009262992,0.0002913902,0.000004985518,0.0001720506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005757885,"threshold_uncertainty_score":0.00247705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837106154799912,"score_gpt":0.2870220119581514,"score_spread":0.2686509504101522,"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."}}