{"id":"W2791697169","doi":"10.1200/jco.2018.36.5_suppl.184","title":"Genomic and immune landscape of metastatic melanoma (MM) treated with pembrolizumab (PEM).","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Medicine; TIGIT; Pembrolizumab; Internal medicine; CD8; Immunophenotyping; Gastroenterology; Oncology; Immune system; Immunotherapy; Cancer; Immunology; Flow cytometry","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":[0.000105187,0.00008342975,0.0001640806,0.0002645476,0.0001775922,0.0002025562,0.00008829854,0.0002132203,0.002306896],"category_scores_gemma":[0.0003587814,0.00008014851,0.0000952323,0.0002163686,0.0000966944,0.000123495,0.0001212141,0.000228134,0.0002263504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371613,"about_ca_system_score_gemma":0.00008850001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010678,"about_ca_topic_score_gemma":0.001277743,"domain_scores_codex":[0.9999255,0.00001358683,0.00000427178,0.00002265112,0.00001401535,0.00001995754],"domain_scores_gemma":[0.9998946,0.00002396821,0.00003915075,0.000004671643,0.00001094355,0.00002663557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007047862,0.000379187,0.8804571,0.0001059282,0.0001186019,0.002654607,0.0002720254,0.0003934166,0.07314923,0.0001312347,0.00190298,0.03338767],"study_design_scores_gemma":[0.0000313421,0.0007312259,0.9947411,0.000004527378,0.00003251268,0.002121101,0.00007283005,0.0002942458,0.001157578,0.00004134365,0.0007703524,0.000001868752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984799,0.0002782003,0.00007033515,0.00005689047,0.000002879044,0.00001053045,0.0004220689,0.000006962243,0.0006722457],"genre_scores_gemma":[0.9990895,0.0000685823,0.00007494603,0.00004997155,0.000005979564,0.000009711819,0.0004036457,0.000002053072,0.0002956999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002306896,"threshold_uncertainty_score":0.007717371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06533237155806704,"score_gpt":0.4068555114984129,"score_spread":0.3415231399403459,"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."}}