{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007214206,0.0002436874,0.0004755481,0.00014908,0.0001298663,0.00002795639,0.00005981677,0.00006409107,0.00001930159],"category_scores_gemma":[0.00001398541,0.000141104,0.00005732083,0.0006220877,0.00009368262,0.000124665,0.00001396485,0.00009987672,9.312588e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072143,"about_ca_system_score_gemma":0.0002396884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00199463,"about_ca_topic_score_gemma":0.004448224,"domain_scores_codex":[0.9988629,0.00002212573,0.0002541202,0.0003133112,0.000205944,0.0003416208],"domain_scores_gemma":[0.9991655,0.0001344898,0.0001864861,0.0002257566,0.0001732625,0.000114488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001192513,0.0004659932,0.9884133,0.0005222335,0.00211656,0.000004059697,0.004287347,0.0007469972,0.00003240863,0.000009547536,0.0001028937,0.002106085],"study_design_scores_gemma":[0.01090734,0.001001706,0.9644535,0.0005072144,0.01882435,0.00000217087,0.0002838856,0.003262962,0.0002117206,0.000001071469,0.0003442615,0.000199883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909185,0.005290324,0.0001368827,0.000368925,0.00004900786,0.002763695,0.0003038966,0.00001617736,0.0001526291],"genre_scores_gemma":[0.9970689,0.0002697842,0.0005260419,0.0002013187,0.00005508257,0.001552553,0.0001613855,0.00003417811,0.0001307003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02395992,"threshold_uncertainty_score":0.5754055,"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."}}