{"id":"W2910269253","doi":"10.1158/1078-0432.ccr-18-2847","title":"Validation of Melanoma Immune Profile (MIP), a Prognostic Immune Gene Prediction Score for Stage II–III Melanoma","year":2019,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Institutes of Health; Swim Across America; U.S. Food and Drug Administration; Herbert Irving Comprehensive Cancer Center, Columbia University","keywords":"Medicine; Oncology; Melanoma; Internal medicine; Proportional hazards model; Stage (stratigraphy); Receiver operating characteristic; Survival analysis; Cohort; Population; Area under the curve; Immunotherapy; Cancer; Cancer research; Biology","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":[0.001355199,0.0004330645,0.0002865884,0.0007389776,0.0001481123,0.0004293478,0.0002217477,0.0003648183,0.001252043],"category_scores_gemma":[0.003077811,0.00009677373,0.000400224,0.000329576,0.0002126812,0.0002654208,0.0003902393,0.0005183188,0.0003969884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204986,"about_ca_system_score_gemma":0.0002274373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166313,"about_ca_topic_score_gemma":0.0002638738,"domain_scores_codex":[0.9996045,0.0001488926,0.00003978161,0.00007034826,0.00009201439,0.00004443745],"domain_scores_gemma":[0.998418,0.0004284433,0.0006112225,0.0001108731,0.000217246,0.0002143396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004737127,0.00005981441,0.988265,0.00001426292,0.00005205625,0.00003324236,0.00001894485,0.0004699274,0.003820687,0.00002688893,0.0001842898,0.006581123],"study_design_scores_gemma":[0.00004890749,0.0008514184,0.9842346,0.00001456762,0.00008697701,0.0006798696,0.00004998538,0.008452987,0.004851364,0.0001210716,0.0005975183,0.00001065831],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964657,0.0001907863,0.002201902,0.00005748644,0.000007998434,0.00004166026,0.0004354967,0.00003188816,0.0005670411],"genre_scores_gemma":[0.9986821,0.00001948495,0.0008255706,0.0000203675,0.00001026145,0.00002045812,0.0003397987,0.000003616449,0.00007830286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001355199,"threshold_uncertainty_score":0.007167101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1441537854774397,"score_gpt":0.4552831552546421,"score_spread":0.3111293697772024,"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."}}