{"id":"W4391683708","doi":"10.3390/cancers16040732","title":"Tumor Copy Number Alteration Burden as a Predictor for Resistance to Immune Checkpoint Blockade across Different Cancer Types","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vitalité Health Network; Atlantic Cancer Research Institute; Dr. Georges-L.-Dumont University Hospital Centre; Université de Moncton; Beatrice Hunter Cancer Research Institute","funders":"Mitacs; Dalhousie University; Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Immune checkpoint; Immunotherapy; Blockade; Medicine; Oncology; Cancer; Immune system; Internal medicine; Tumor microenvironment; Biomarker; Proportional hazards model; Multivariate analysis; CD8; Cancer immunotherapy; Cancer research; Immunology; Biology; Receptor; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006437246,0.0002034978,0.0003076064,0.0009514327,0.0001911916,0.0005788708,0.0002467294,0.0002941273,0.001875732],"category_scores_gemma":[0.001768775,0.0001465126,0.0003448392,0.0006541531,0.0002821992,0.0002821731,0.0004632836,0.0004357697,0.0002167539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000230013,"about_ca_system_score_gemma":0.0001344342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105024,"about_ca_topic_score_gemma":0.001395609,"domain_scores_codex":[0.9996815,0.00007042281,0.00004001893,0.00009851593,0.00005806605,0.00005156106],"domain_scores_gemma":[0.9986921,0.0004234586,0.0005366399,0.0001258886,0.000062051,0.0001598054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006922432,0.00002057211,0.9919295,0.000009848687,0.00009173156,0.00005779756,0.00002016638,0.0003460922,0.003187855,0.00002479317,0.00009839904,0.003521032],"study_design_scores_gemma":[0.00001133099,0.0001164109,0.9968747,0.000003191647,0.00005853469,0.0003572768,0.00003661143,0.001540824,0.0007140369,0.00007700282,0.000206801,0.000003361603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988384,0.000239251,0.0001557904,0.00003466523,0.000003037832,0.000005046112,0.0004550681,0.000008092028,0.0002606173],"genre_scores_gemma":[0.9991295,0.00005347949,0.00009983825,0.00001173808,0.000004144669,0.000005900051,0.0005635664,0.000003122251,0.000128734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001875732,"threshold_uncertainty_score":0.006274939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014992663064055,"score_gpt":0.3309132402684961,"score_spread":0.3159205772044411,"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."}}