{"id":"W2523880687","doi":"10.1002/cam4.878","title":"The full blood count as a biomarker of outcome and toxicity in ipilimumab‐treated cutaneous metastatic melanoma","year":2016,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research","keywords":"Ipilimumab; Medicine; Internal medicine; Toxicity; Gastroenterology; Lactate dehydrogenase; Melanoma; Clinical endpoint; Biomarker; Oncology; Cancer; Confidence interval; Proportional hazards model; Surgery; Clinical trial; Immunotherapy; Cancer research","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004972915,0.0002147244,0.0005747718,0.0001349243,0.00005995156,0.000005213089,0.0001189479,0.0000671709,0.0007694869],"category_scores_gemma":[0.0002499378,0.00009686495,0.00006814618,0.0003376701,0.0007177618,0.00004209834,0.00002877671,0.0001022738,0.000004286432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624867,"about_ca_system_score_gemma":0.0001319083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357443,"about_ca_topic_score_gemma":0.001015578,"domain_scores_codex":[0.9983436,0.00007419327,0.0006269634,0.0002902359,0.0003538546,0.0003111048],"domain_scores_gemma":[0.9987379,0.0004548306,0.00019715,0.00037119,0.0001124901,0.000126476],"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":[0.01114365,0.0001799626,0.1439317,0.0002560596,0.0009209202,0.0003787808,0.0006205867,1.308469e-7,0.707747,0.00008875441,0.001672517,0.13306],"study_design_scores_gemma":[0.1121209,0.0145075,0.5796319,0.009594261,0.004093147,0.005948503,0.002471661,0.0002419895,0.1635657,0.001011745,0.1054044,0.001408282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641356,0.02230115,0.00001530889,0.01170461,0.0002481409,0.000517755,0.00003005816,0.00002624444,0.001021096],"genre_scores_gemma":[0.9884379,0.009172864,0.00002104494,0.0008230372,0.00008127829,0.00006193626,0.000003823523,0.00002322384,0.001374903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5441813,"threshold_uncertainty_score":0.8425341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02787156978737167,"score_gpt":0.31468495001501,"score_spread":0.2868133802276384,"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."}}