{"id":"W2083299269","doi":"10.1002/cncr.25214","title":"Epidermal growth factor receptor mutations detected by denaturing high‐performance liquid chromatography in nonsmall cell lung cancer","year":2010,"lang":"en","type":"article","venue":"Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Denaturing high performance liquid chromatography; Epidermal growth factor receptor; Medicine; Exon; Lung cancer; Mutation; Cancer research; Somatic cell; Tyrosine kinase; Tyrosine-kinase inhibitor; Internal medicine; Epidermal growth factor; Oncology; Cancer; Biology; Receptor; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004893843,0.0002086584,0.0002029767,0.000931473,0.0002014979,0.0002951754,0.0001857494,0.000380038,0.0004439602],"category_scores_gemma":[0.001698166,0.0001651363,0.000134395,0.0004020852,0.000279436,0.0001503559,0.0001296379,0.0002587553,0.0001660154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903402,"about_ca_system_score_gemma":0.0001667331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001373506,"about_ca_topic_score_gemma":0.002123453,"domain_scores_codex":[0.9996548,0.00008959563,0.00004426972,0.00006718882,0.0001073532,0.00003687803],"domain_scores_gemma":[0.9993328,0.0003321953,0.0001452865,0.00002992231,0.0000766826,0.00008292758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005133637,0.00008664521,0.9561967,0.00005572558,0.00007621347,0.0008480647,0.00007920738,0.0002290668,0.03208379,0.00002218161,0.0001478002,0.009661209],"study_design_scores_gemma":[0.00003003476,0.0005541499,0.9773696,0.000009666918,0.00007687675,0.006837717,0.00007718162,0.00142758,0.01302496,0.00003935211,0.0005448041,0.000008032337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990491,0.0005560553,0.0001655789,0.00002474704,0.000002866108,0.000006267669,0.00003542711,0.000005929318,0.00015397],"genre_scores_gemma":[0.9993809,0.0001429003,0.0002940345,0.00002729048,0.000003616982,0.00000434211,0.00008561552,0.000001202396,0.00006002644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001373506,"threshold_uncertainty_score":0.002731085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006265872669749505,"score_gpt":0.2771239543859354,"score_spread":0.2708580817161859,"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."}}