{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196193,0.0003284687,0.0004092593,0.0004958464,0.0002741884,0.0006972951,0.0004690078,0.0004749334,0.0006227069],"category_scores_gemma":[0.004088802,0.0001669693,0.0006388279,0.0006373318,0.0003061178,0.0004235652,0.000559416,0.0004606505,0.0001210712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000307011,"about_ca_system_score_gemma":0.0003230134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002542905,"about_ca_topic_score_gemma":0.002341558,"domain_scores_codex":[0.999509,0.0001937687,0.00003764751,0.00009753194,0.000074613,0.00008742948],"domain_scores_gemma":[0.9982815,0.0003464088,0.0007383239,0.0001867194,0.0001433417,0.0003036671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002564165,0.00004181192,0.9931208,0.00001090353,0.0001890545,0.00007096105,0.00007560171,0.0001435191,0.0008516979,0.0000254048,0.0001183372,0.00278756],"study_design_scores_gemma":[0.00002954146,0.000372531,0.9986272,0.000003322984,0.0001219605,0.0001077743,0.00008299225,0.0002239426,0.0001527182,0.0000242998,0.0002485408,0.000005255862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990701,0.0003096,0.00004366949,0.00004653547,0.000009231664,0.000005801823,0.0001724961,0.000002332908,0.0003401646],"genre_scores_gemma":[0.999485,0.0000558947,0.0000268921,0.00001662421,0.00001459542,0.000004448444,0.0002807718,0.00000228893,0.0001134887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002542905,"threshold_uncertainty_score":0.006326139,"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."}}