{"id":"W2635994875","doi":"","title":"Evaluation of FE simulation for pelvic organs motion modeling in prostate cancer 3DCRT using CBCT scans","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Rectum; Medicine; Prostate; Pelvis; Prostate cancer; Radiation therapy; Radiation treatment planning; Nuclear medicine; Radiology; Cancer; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007904581,0.0002188268,0.0003341997,0.0003113867,0.00009945182,0.00009637087,0.0003265297,0.0002094255,0.00005985942],"category_scores_gemma":[0.001558026,0.0002455744,0.0001404176,0.0003632593,0.00005924179,0.0001265764,0.0001328714,0.0005027612,0.00000138783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000297034,"about_ca_system_score_gemma":0.0002760375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002127325,"about_ca_topic_score_gemma":0.002595786,"domain_scores_codex":[0.9969583,0.001197946,0.0005974356,0.0003954694,0.0006136,0.0002372168],"domain_scores_gemma":[0.9955986,0.0003662779,0.0002473425,0.000729118,0.002974682,0.00008403646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002228656,0.00006299032,0.000710425,0.0002396617,0.00004925494,1.164369e-7,0.002717632,0.9353141,0.008812646,0.00007740162,0.000005546647,0.05200798],"study_design_scores_gemma":[0.0006014927,7.704251e-8,0.000209569,0.001347381,0.0002325908,3.327929e-7,0.00007217641,0.9836106,0.01228453,0.001407172,0.00002907863,0.0002050066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.488715,0.0004969588,0.5093471,0.0003267575,0.0001580758,0.000447813,0.00004082287,0.00007807235,0.0003894079],"genre_scores_gemma":[0.9803271,0.0002112398,0.01883388,0.000007175189,0.00002878448,0.0001101757,0.0003403434,0.00004878913,0.00009255266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4916121,"threshold_uncertainty_score":0.9999996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0463224547107783,"score_gpt":0.2987399328594008,"score_spread":0.2524174781486225,"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."}}