{"id":"W4241222748","doi":"10.3747//co.19.949","title":"Response to second-line erlotinib in an EGFR mutation-negative patient with non-small-cell lung cancer: make no assumptions","year":2012,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Erlotinib; Medicine; Epidermal growth factor receptor; Oncology; Mutation; Lung cancer; EGFR inhibitors; Tyrosine-kinase inhibitor; Internal medicine; Cancer research; Biomarker; Tyrosine kinase; Erlotinib Hydrochloride; Gefitinib; Cancer; Gene; Receptor; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003664118,0.0004047976,0.001029331,0.0005965814,0.0007073882,0.001450512,0.001658107,0.005105967,0.001247308],"category_scores_gemma":[0.01169481,0.0002405032,0.0009531367,0.0003217079,0.001579985,0.002479718,0.000576872,0.003204128,0.0007923756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009836532,"about_ca_system_score_gemma":0.0004750951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004500186,"about_ca_topic_score_gemma":0.0005799073,"domain_scores_codex":[0.9985113,0.0004425826,0.0003308972,0.000210639,0.0002763403,0.0002281729],"domain_scores_gemma":[0.994139,0.004114035,0.0005152217,0.0003873581,0.0005011631,0.0003432791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.00432713,0.0005089743,0.3180029,0.0005005635,0.0003627528,0.5479722,0.001480495,0.002221712,0.009254887,0.004015512,0.01469866,0.09665421],"study_design_scores_gemma":[0.0005630425,0.002305354,0.1291106,0.0008977756,0.0006841903,0.7926899,0.004782503,0.01415489,0.008455837,0.01652499,0.0296049,0.00022611],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7890368,0.01936556,0.004038198,0.1671492,0.002312567,0.0001160325,0.0002339321,0.0001053179,0.01764224],"genre_scores_gemma":[0.9848441,0.002353317,0.0008867494,0.008238821,0.002847418,0.00001807994,0.00008781649,0.000015243,0.0007085252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005105967,"threshold_uncertainty_score":0.01937795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870029174905834,"score_gpt":0.4237004489221756,"score_spread":0.3750001571731173,"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."}}