{"id":"W4401027763","doi":"10.1016/j.ijrobp.2024.07.2316","title":"Biomarker Expression and Clinical Outcomes in International Study of Chemoradiation and Magnetic Resonance Imaging-Based Image-Guided Brachytherapy for Locally Advanced Cervical Cancer: BIOEMBRACE","year":2024,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Alberta","funders":"Universiteit Leiden","keywords":"Brachytherapy; Magnetic resonance imaging; Cervical cancer; Biomarker; Medicine; Imaging biomarker; Medical physics; Radiology; Cancer; Oncology; Radiation therapy; Internal medicine","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":[0.0009279873,0.000213115,0.0002744937,0.0003294421,0.0001764752,0.0004787593,0.0002981841,0.0003071665,0.001165536],"category_scores_gemma":[0.001556704,0.0001849049,0.000296851,0.000588677,0.0002065142,0.000288233,0.0003788955,0.0003348847,0.0002025834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559393,"about_ca_system_score_gemma":0.0002388164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005945959,"about_ca_topic_score_gemma":0.0008551779,"domain_scores_codex":[0.9996517,0.0001230862,0.00002828826,0.00009647058,0.00006980875,0.00003067851],"domain_scores_gemma":[0.9990558,0.000165266,0.0004640543,0.00007843068,0.00008973097,0.0001468171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001604058,0.00008242067,0.9928862,0.00003528147,0.0001658566,0.00004457832,0.00005783847,0.0001120598,0.00206921,0.0000229031,0.00008547206,0.002833992],"study_design_scores_gemma":[0.0000860047,0.0006186133,0.9971471,0.000007986115,0.0001080151,0.000226998,0.00006965829,0.0002634141,0.0008079159,0.00002312901,0.00063582,0.000005296118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989302,0.0004653198,0.00009876442,0.00004053261,0.000003203219,0.00001097595,0.0001787107,0.000001866501,0.0002704635],"genre_scores_gemma":[0.9993399,0.00008082324,0.00009001355,0.00002501847,0.000005161651,0.00001446859,0.0002448264,0.000001331643,0.0001985026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001165536,"threshold_uncertainty_score":0.004907727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032197728213316,"score_gpt":0.4101212386902646,"score_spread":0.3779235104769486,"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."}}