{"id":"W2065028684","doi":"10.1097/jto.0b013e3181fd83a4","title":"Prognostic and Predictive Value of Epidermal Growth Factor Receptor Tyrosine Kinase Domain Mutation Status and Gene Copy Number for Adjuvant Chemotherapy in Non-small Cell Lung Cancer","year":2010,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; Queen's University; University Health Network","funders":"National Cancer Institute","keywords":"Medicine; Vinorelbine; Epidermal growth factor receptor; Oncology; Hazard ratio; Internal medicine; Chemotherapy; Lung cancer; Fluorescence in situ hybridization; Copy-number variation; Mutation; Cancer research; Cisplatin; Cancer; Confidence interval; Gene; Biology; 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":[0.0009518334,0.0003129522,0.0004399832,0.0006971754,0.0003005456,0.0006300074,0.0004647674,0.0006934409,0.002252319],"category_scores_gemma":[0.004634893,0.0002093906,0.0004302662,0.000641897,0.0005889994,0.0007196073,0.0002712423,0.0006217361,0.000248781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003307731,"about_ca_system_score_gemma":0.0003531584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001290758,"about_ca_topic_score_gemma":0.002762391,"domain_scores_codex":[0.9997062,0.00009988064,0.00003749895,0.00005124595,0.00005315275,0.0000519038],"domain_scores_gemma":[0.9968085,0.001892971,0.0004869438,0.0001666497,0.0001514466,0.000493522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001396763,0.00005762178,0.9898892,0.00001448693,0.00008203918,0.0003096976,0.00003359417,0.0007492057,0.002183917,0.00004528983,0.0001453589,0.005092748],"study_design_scores_gemma":[0.00004253804,0.0003651437,0.9923906,0.000009510593,0.0002236369,0.001054445,0.0001091515,0.004472988,0.0007890005,0.0002078951,0.0003236255,0.00001147553],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983373,0.0005889512,0.0001190588,0.0001578896,0.00002142678,0.00000472069,0.0001213623,0.000007470096,0.0006418746],"genre_scores_gemma":[0.9995275,0.000104696,0.00008212366,0.00001922036,0.00002551371,0.000002505974,0.00009888118,0.000002739233,0.0001369312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002252319,"threshold_uncertainty_score":0.007534742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00959289005364907,"score_gpt":0.3787633561425244,"score_spread":0.3691704660888753,"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."}}