{"id":"W4399352213","doi":"10.3390/radiation4020014","title":"Non-Metastatic Uterine Carcinosarcoma: A Tailored Approach or One Size Fits All?","year":2024,"lang":"en","type":"article","venue":"Radiation","topic":"Uterine Myomas and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Juravinski Cancer Centre; McMaster University","funders":"","keywords":"Carcinosarcoma; Medicine; Internal medicine; Carcinoma","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":[0.00007195835,0.0001466565,0.000238279,0.0001000178,0.00003128914,0.00004914477,0.00004158985,0.00003979138,0.000222183],"category_scores_gemma":[0.00003582702,0.0001058247,0.00007330949,0.0002482343,0.00001512019,0.0001204116,0.00002343982,0.00009116827,0.0001539211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224044,"about_ca_system_score_gemma":0.00008320767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008162582,"about_ca_topic_score_gemma":0.000004615749,"domain_scores_codex":[0.9991046,0.00001697519,0.0002020402,0.0002692881,0.000208075,0.0001990715],"domain_scores_gemma":[0.9995605,0.00005984846,0.00003404027,0.0002085663,0.00002502836,0.0001120196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005287581,0.01074286,0.06261858,0.01606235,0.01157079,0.01072275,0.0153843,0.0002421612,0.07116447,0.006852564,0.05429401,0.7350576],"study_design_scores_gemma":[0.01373189,0.00351522,0.7043299,0.0004695466,0.002005155,0.001238016,0.0001810282,0.1288722,0.005805433,0.0003663316,0.1387031,0.0007821331],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990721,0.000846031,0.001384795,0.002866732,0.0003282914,0.0009341495,0.00004266192,0.0002202835,0.002656022],"genre_scores_gemma":[0.987794,0.0001032153,0.005862752,0.0002387626,0.0002482684,0.00009913224,0.0002680306,0.00003294846,0.005352902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7342755,"threshold_uncertainty_score":0.4315407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03505880545932158,"score_gpt":0.3094599366690491,"score_spread":0.2744011312097275,"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."}}