{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006374372,0.0007170693,0.0003742909,0.001156336,0.0002310341,0.0004081462,0.0004325315,0.0008870545,0.00159478],"category_scores_gemma":[0.0007465951,0.000198388,0.0002984364,0.0004473583,0.0001849801,0.0002107197,0.0002118537,0.0005854292,0.0007455489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002688589,"about_ca_system_score_gemma":0.0002261075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005685141,"about_ca_topic_score_gemma":0.0004956604,"domain_scores_codex":[0.9993702,0.0001116697,0.00005532003,0.000154686,0.0002499577,0.00005827361],"domain_scores_gemma":[0.9996915,0.00007165706,0.00008135963,0.00002127479,0.00007845058,0.00005582372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001551579,0.000324848,0.01892238,0.0001400693,0.0001064138,0.0004596,0.00003906965,0.0002203033,0.9606393,0.00008542227,0.0009626526,0.01654835],"study_design_scores_gemma":[0.0001282968,0.002234446,0.1136955,0.00002392696,0.0001367382,0.004981834,0.00007056712,0.009968609,0.8647681,0.0001534684,0.003807185,0.00003131361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708769,0.003421553,0.01836696,0.000485256,0.0002247136,0.0002600561,0.00226541,0.000925741,0.003173267],"genre_scores_gemma":[0.9823045,0.0004132509,0.0127041,0.0005155907,0.000054088,0.0001571188,0.001520045,0.00004963304,0.002281698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00159478,"threshold_uncertainty_score":0.005335093,"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."}}