{"id":"W2993545890","doi":"10.1158/1535-7163.targ-19-c027","title":"Abstract C027: A Phase I, dose finding study of BI 754111, an anti-LAG-3 antibody, in combination with BI 754091, an anti-PD-1 antibody, in patients with advanced solid tumors: preliminary results from the microsatellite stable (MSS) metastatic colorectal cancer (mCRC) cohort","year":2019,"lang":"en","type":"article","venue":"Molecular Cancer Therapeutics","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Boehringer Ingelheim (Canada); University of Alberta","funders":"","keywords":"Blockade; Medicine; Antibody; Monoclonal antibody; Immune checkpoint; Lung cancer; Cancer; Cancer research; Internal medicine; T cell; Oncology; Immune system; Pharmacology; Immunology; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006265486,0.0005835883,0.001064049,0.0003387594,0.0001200572,0.00008673734,0.0004037553,0.000135661,0.00005477612],"category_scores_gemma":[0.00001074028,0.0004168001,0.00009515315,0.001186082,0.0002384572,0.0004982439,0.00005736296,0.0004910258,0.00000143515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003856647,"about_ca_system_score_gemma":0.0005440348,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008262068,"about_ca_topic_score_gemma":0.002546984,"domain_scores_codex":[0.9961252,0.0003213681,0.001026634,0.0009561314,0.0009031228,0.0006675415],"domain_scores_gemma":[0.9978005,0.0001264722,0.0007432344,0.0008836178,0.0003243342,0.0001218057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04590429,0.006080087,0.5553299,0.0001001359,0.0008728093,0.0001310838,0.004647,0.001912321,0.3773764,0.000001229996,0.000001361413,0.007643409],"study_design_scores_gemma":[0.05108448,0.01278855,0.8585028,0.001255648,0.0004602337,0.000005562239,0.002279875,0.00129109,0.07171465,0.000006693468,0.00006319376,0.0005472387],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923378,0.002012992,0.00004130347,0.0001316681,0.0001902372,0.004685355,0.0005283889,0.00004600461,0.00002623276],"genre_scores_gemma":[0.9971846,0.000795862,0.000227131,0.0003917468,0.00002499648,0.0001499676,0.001085319,0.0001273146,0.00001300459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3056617,"threshold_uncertainty_score":0.9998284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01862583428759236,"score_gpt":0.3292702647812341,"score_spread":0.3106444304936418,"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."}}