{"id":"W4211201548","doi":"10.1016/j.ijrobp.2022.02.005","title":"Prognostic Implications of Uterine Cervical Cancer Regression During Chemoradiation Evaluated by the T-Score in the Multicenter EMBRACE I Study","year":2022,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Cancer Foundation","funders":"Medizinische Universität Wien; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Accuray; European SocieTy for Radiotherapy and Oncology; Universität Wien; Varian Medical Systems; Region Midtjylland; Elekta; Austrian Science Fund; AstraZeneca","keywords":"Cervical cancer; Medicine; Multicenter study; Uterine cancer; Oncology; Regression; Cancer; Internal medicine; Gynecology; Statistics; Randomized controlled trial; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007242199,0.0001394564,0.0003366614,0.0001302665,0.0001374893,0.00001390787,0.0004674813,0.00006178006,0.000225998],"category_scores_gemma":[0.0002879183,0.00008220683,0.000137664,0.000472617,0.00007816407,0.0001108655,0.0001067571,0.0004968672,0.000002230943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008470826,"about_ca_system_score_gemma":0.0002688716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001243813,"about_ca_topic_score_gemma":0.00002156646,"domain_scores_codex":[0.9979135,0.0005685957,0.0007010667,0.0001857706,0.0004737601,0.0001573201],"domain_scores_gemma":[0.9979151,0.0005306794,0.000907517,0.0001793098,0.0004154384,0.00005189062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001384821,0.002543847,0.9465369,0.00001322951,0.0004032206,0.0000169082,0.001600593,0.001130433,0.004726484,0.0001830458,0.0003708959,0.04108964],"study_design_scores_gemma":[0.01417435,0.001845956,0.9757724,0.00003639194,0.0002523651,0.0001090007,0.0008202957,0.001571247,0.001058376,0.0007497656,0.00351183,0.00009806904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845728,0.0006628269,0.0001504984,0.0128893,0.0007233858,0.0007809476,0.0001257115,0.00001018812,0.00008437136],"genre_scores_gemma":[0.9979898,0.0002065537,0.00005154472,0.0007967912,0.000574336,0.0002215869,0.00009997475,0.00001457401,0.00004483911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04099157,"threshold_uncertainty_score":0.3352297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015478194368937,"score_gpt":0.3940425489075295,"score_spread":0.3538877669638401,"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."}}