{"id":"W1986187845","doi":"10.1016/j.lungcan.2012.10.006","title":"VeriStrat® has a prognostic value for patients with advanced non-small cell lung cancer treated with erlotinib and bevacizumab in the first line: Pooled analysis of SAKK19/05 and NTR528","year":2012,"lang":"en","type":"article","venue":"Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Schweizerische Arbeitsgemeinschaft für Klinische Krebsforschung; Universitair Medisch Centrum Groningen; Maastricht Universitair Medisch Centrum; Institute for Oil Sands Innovation, University of Alberta; Universiteit Maastricht; Inselspital, Universitätsspital Bern","keywords":"Erlotinib; Medicine; Bevacizumab; Internal medicine; Lung cancer; Oncology; Hazard ratio; Gefitinib; Confidence interval; Proportional hazards model; Chemotherapy; Log-rank test; Cancer; Epidermal growth factor receptor","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002528617,0.0006829069,0.002109282,0.0005231891,0.0001824275,0.00107121,0.0005768288,0.0007196698,0.001953852],"category_scores_gemma":[0.003519879,0.0003810837,0.004604628,0.0007930388,0.0003026483,0.0008931396,0.0005169361,0.001049817,0.0003055671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252556,"about_ca_system_score_gemma":0.0003561504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793678,"about_ca_topic_score_gemma":0.00396298,"domain_scores_codex":[0.9984321,0.0005998337,0.0001415962,0.0004238723,0.0002440411,0.0001585581],"domain_scores_gemma":[0.9969385,0.001269348,0.001066689,0.0003104981,0.0001673134,0.0002475816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.06787682,0.0001731593,0.8231515,0.0004658727,0.05357536,0.000232716,0.00005821412,0.00180345,0.005219639,0.000118104,0.001966475,0.04535875],"study_design_scores_gemma":[0.001880553,0.00494727,0.951684,0.00006102498,0.03312654,0.0006610268,0.0000926496,0.00348983,0.001533264,0.0002587917,0.002200455,0.00006449936],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798696,0.01617075,0.000539194,0.0003166685,0.0001190995,0.00001937121,0.00201694,0.00004883945,0.0008993893],"genre_scores_gemma":[0.9964989,0.001023455,0.0001956181,0.0001198567,0.00009922001,0.000008242877,0.001571483,0.00001175083,0.0004713227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002528617,"threshold_uncertainty_score":0.01337278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00779591278885484,"score_gpt":0.2882311824114308,"score_spread":0.2804352696225759,"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."}}