{"id":"W2896068855","doi":"10.1093/annonc/mdy288.114","title":"Phase I study of BI 754111 (anti-LAG-3) plus BI 754091(anti-PD-1) in patients (pts) with advanced solid cancers, followed by expansion in pts with microsatellite stable metastatic colorectal cancer (mCRC), anti-PD-(L)1-pretreated non-small cell lung cancer (NSCLC) and other solid tumors","year":2018,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Boehringer Ingelheim (Canada); University of Alberta; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Tolerability; Response Evaluation Criteria in Solid Tumors; Microsatellite instability; Blockade; Internal medicine; Colorectal cancer; Oncology; Cancer research; Cancer; Phases of clinical research; Receptor; Clinical trial; Adverse effect; Biology; Microsatellite","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00121829,0.002286031,0.001905452,0.0006417652,0.0004451297,0.001251184,0.001215844,0.001442702,0.003280347],"category_scores_gemma":[0.0007908047,0.0006973848,0.001099035,0.0004941202,0.001254146,0.001011337,0.0004834086,0.003399731,0.0009939398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264034,"about_ca_system_score_gemma":0.002011244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001714504,"about_ca_topic_score_gemma":0.003933154,"domain_scores_codex":[0.9995178,0.0002127407,0.00001751496,0.00008042233,0.0000357051,0.0001358263],"domain_scores_gemma":[0.9992104,0.0001034413,0.0001179866,0.00004701829,0.00002993034,0.0004912435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.7875221,0.1096382,0.003447849,0.0005013006,0.0007349089,0.0001783444,0.0003398439,0.003385304,0.03420062,0.0004160148,0.002566277,0.05706923],"study_design_scores_gemma":[0.3774091,0.6119439,0.004615935,0.00002411344,0.0002786973,0.0001185106,0.00004942334,0.001005299,0.003099462,0.0001633511,0.001268827,0.00002328923],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936074,0.001058953,0.0004101549,0.0003075676,0.0001024214,0.002346675,0.0005925136,0.00009367302,0.00148054],"genre_scores_gemma":[0.9906684,0.0009851665,0.001378817,0.0005677603,0.0001433434,0.002801096,0.001193353,0.00002102933,0.002241118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003280347,"threshold_uncertainty_score":0.01097381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403737171684327,"score_gpt":0.3505419665554048,"score_spread":0.3265045948385615,"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."}}