{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008102807,0.0004857363,0.001125425,0.0005674587,0.0003940216,0.0008540379,0.0006006257,0.0009171029,0.00237156],"category_scores_gemma":[0.00211839,0.0001807471,0.0008272821,0.0003434418,0.000410801,0.001082914,0.001030448,0.001056487,0.0008343891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003536545,"about_ca_system_score_gemma":0.0008688411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003807456,"about_ca_topic_score_gemma":0.001747049,"domain_scores_codex":[0.9996585,0.0001024693,0.00003691677,0.0000671883,0.00007618748,0.00005876732],"domain_scores_gemma":[0.9994888,0.0001721683,0.0001047589,0.00004009358,0.00004108686,0.0001530997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001033593,0.0005751145,0.05815123,0.002155009,0.0008220405,0.009190843,0.0004135573,0.004328061,0.01022987,0.002871136,0.02234176,0.8878878],"study_design_scores_gemma":[0.003036727,0.00979952,0.2895009,0.0123689,0.005559863,0.2549256,0.007447284,0.03364292,0.0133843,0.09681667,0.2727094,0.0008080023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5452811,0.1871525,0.09751322,0.1127224,0.003691712,0.0009832503,0.0006140449,0.001416856,0.05062484],"genre_scores_gemma":[0.8595561,0.06540559,0.04335406,0.01732916,0.006579972,0.0003179679,0.0006842506,0.0001653893,0.006607461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00237156,"threshold_uncertainty_score":0.007933617,"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."}}