{"id":"W3036992533","doi":"10.1158/2326-6074.tumimm18-pr03","title":"Abstract PR03: Immuno-mass spectrometric identification of serum biomarkers of response and toxicity to pembrolizumab","year":2020,"lang":"en","type":"article","venue":"Cancer Immunology Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Princess Margaret Cancer Centre; University Health Network; University of Toronto","funders":"","keywords":"Autoantibody; Pembrolizumab; Immunotherapy; Immunology; Medicine; Immune system; Antigen; Antibody; Immune checkpoint; Cancer; Cancer immunotherapy; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.001946327,0.000163449,0.0004944548,0.000895212,0.0001021023,0.0000181594,0.0003221622,0.0001899437,0.0005278591],"category_scores_gemma":[0.0009417174,0.0001534948,0.0001185356,0.00254952,0.0007467925,0.00009423396,0.0001325999,0.0004292428,0.00001671381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002932078,"about_ca_system_score_gemma":0.0006184015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003258926,"about_ca_topic_score_gemma":0.000007468579,"domain_scores_codex":[0.9975762,0.0003185394,0.0006826156,0.0004472649,0.0005091272,0.0004662194],"domain_scores_gemma":[0.9981835,0.0004162558,0.0002069184,0.0005088553,0.0005383355,0.0001461283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.04907232,0.00009179689,0.007653274,0.0002623225,0.0006271573,0.00001129058,0.0007919283,0.000001532489,0.919071,0.0000198035,0.0004420233,0.02195559],"study_design_scores_gemma":[0.001920822,0.001143414,0.5087238,0.00008443781,0.00002279801,0.00001020148,0.0004048984,0.0000147266,0.4867333,0.00001910422,0.0008433544,0.00007916331],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751227,0.01414481,0.00003558495,0.009350318,0.0001310925,0.0007822444,0.000113409,0.00002674168,0.0002930188],"genre_scores_gemma":[0.9964845,0.002891545,0.00009037401,0.0001505575,0.00004748641,0.00006931327,0.00000626256,0.00002746426,0.000232537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5010705,"threshold_uncertainty_score":0.6259335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07018959431744651,"score_gpt":0.3897958769316217,"score_spread":0.3196062826141752,"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."}}