{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009661373,0.0008934605,0.0007132949,0.0006776239,0.0005157969,0.0009600171,0.001001324,0.001640496,0.003384068],"category_scores_gemma":[0.005028965,0.0006434081,0.0006286009,0.0005370731,0.0003699132,0.0003927783,0.0004220661,0.000534597,0.0004531146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006810653,"about_ca_system_score_gemma":0.0007115561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174184,"about_ca_topic_score_gemma":0.00733574,"domain_scores_codex":[0.9995356,0.000182538,0.00003440221,0.00004555993,0.0001661319,0.00003586135],"domain_scores_gemma":[0.9963994,0.00259182,0.0001332408,0.0002733712,0.0005312079,0.0000709869],"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":[0.0003213402,0.0001182045,0.001726276,0.0001127444,0.00003887161,0.00008780295,0.0001045838,0.9747045,0.007109418,0.0004782252,0.0004149881,0.01478309],"study_design_scores_gemma":[0.000009804531,0.00003411811,0.0003704051,0.000008695865,0.000007595628,0.00001825149,0.00001489984,0.9973213,0.001962932,0.00006101195,0.0001875215,0.000003419239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7027593,0.0006499212,0.27551,0.0004247483,0.0001248246,0.0003472743,0.001336437,0.004653818,0.01419376],"genre_scores_gemma":[0.961035,0.0001239215,0.03609585,0.00004874971,0.000009240748,0.00009580022,0.0004199417,0.0005105361,0.001660921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174184,"threshold_uncertainty_score":0.02334702,"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."}}