{"id":"W4409264686","doi":"10.1158/1078-0432.ccr-24-3791","title":"The Society for Immunotherapy of Cancer Perspective on Liquid Biopsy– and Radiomics-Based Technologies for Immuno-oncology Biomarker Discovery and Application","year":2025,"lang":"en","type":"review","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Zymeworks (Canada); McGill University; Ontario Institute for Cancer Research; Jewish General Hospital","funders":"National Cancer Institute","keywords":"Biomarker; Biomarker discovery; Medicine; Medical physics; Radiomics; Emerging technologies; Biobank; Computer science; Data science; Bioinformatics; Artificial intelligence; Proteomics; 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":[0.02006099,0.001621375,0.001419632,0.002499772,0.001824435,0.009718948,0.002689732,0.01456677,0.007836264],"category_scores_gemma":[0.01610761,0.0006850718,0.002074076,0.003288777,0.003821852,0.006545628,0.004820131,0.0328492,0.008146013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005169737,"about_ca_system_score_gemma":0.01874892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681621,"about_ca_topic_score_gemma":0.007291441,"domain_scores_codex":[0.9878198,0.002641719,0.001203432,0.001528325,0.005469292,0.001337456],"domain_scores_gemma":[0.9692891,0.004628209,0.002302608,0.001538583,0.01495314,0.007288379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008169762,0.0000906519,0.0004682528,0.0004049117,0.00003063895,0.00009062632,0.00006997885,0.0002080895,0.001115321,0.01182051,0.8947983,0.09082098],"study_design_scores_gemma":[0.00001726107,0.00006630686,0.0003836502,0.0002526921,0.00001533961,0.00009924541,0.00003294505,0.0001212178,0.0002766256,0.0021527,0.9965648,0.00001732642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0008820801,0.07703438,0.005168702,0.6741093,0.2214815,0.0002480033,0.0006056501,0.0005226082,0.01994781],"genre_scores_gemma":[0.01398612,0.1677249,0.02596723,0.5138514,0.202962,0.0008598733,0.00162878,0.0005344102,0.07248533],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02006099,"threshold_uncertainty_score":0.1060939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0982077720343121,"score_gpt":0.5355280600723976,"score_spread":0.4373202880380855,"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."}}