{"id":"W4393087932","doi":"10.1158/1538-7445.am2024-5179","title":"Abstract 5179: Tumor microenvironment (TME) biomarkers of TIGIT and PD-L1 immune checkpoint blockade in cervical cancer: An exploratory biomarker analysis from SKYSCRAPER-04 (SKY04) study","year":2024,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"TIGIT; Immune checkpoint; Blockade; Tumor microenvironment; Biomarker; Medicine; Cancer; Cervical cancer; Cancer research; PD-L1; Immunotherapy; Oncology; Internal medicine; Receptor; Chemistry","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":[0.001493821,0.0003366774,0.0004763349,0.0003120718,0.0002320337,0.0007340109,0.0003780392,0.0004185082,0.002574028],"category_scores_gemma":[0.001259211,0.0001935056,0.0006822249,0.0004723861,0.0002182903,0.0002756612,0.0005219131,0.000423641,0.0005507137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004255451,"about_ca_system_score_gemma":0.0005260046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007261034,"about_ca_topic_score_gemma":0.001436185,"domain_scores_codex":[0.9994784,0.0002132279,0.00004560605,0.0001083548,0.0001099424,0.00004442481],"domain_scores_gemma":[0.9990997,0.0001915548,0.0002916144,0.00009086101,0.0001687513,0.0001575685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0402532,0.0006741127,0.8809214,0.0008002424,0.002891412,0.0001926674,0.0001204738,0.0009035786,0.03337374,0.0001388461,0.005325426,0.03440477],"study_design_scores_gemma":[0.00229517,0.00999517,0.9690207,0.00006463902,0.002204372,0.0006407428,0.0001673947,0.001659857,0.007729534,0.0001601199,0.006035089,0.00002723444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902205,0.002205721,0.0003523274,0.0001946186,0.00002102993,0.0001495737,0.005677151,0.00003040027,0.001148687],"genre_scores_gemma":[0.9922101,0.0002929583,0.0005609998,0.0002004665,0.0000281619,0.0001482882,0.005851162,0.000007712051,0.000700084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002574028,"threshold_uncertainty_score":0.008610964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06004376156876291,"score_gpt":0.3793719722512005,"score_spread":0.3193282106824376,"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."}}