{"id":"W2059773750","doi":"10.1118/1.4814930","title":"SU‐E‐T‐501: A Sensitivity Study of Tissue Characterization for Brachytherapy Monte Carlo Dose Calculation","year":2013,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Monte Carlo method; Brachytherapy; Hounsfield scale; Intersection (aeronautics); Nuclear medicine; Mathematics; Dosimetry; Algorithm; Physics; Statistics; Medicine; Computed tomography; Radiation therapy","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":[0.00009233731,0.0001050706,0.0001843988,0.00001752554,0.00003766129,0.00001211243,0.00004505765,0.00004724674,0.00002853298],"category_scores_gemma":[0.00004048313,0.0001009704,0.00002991192,0.0001063865,0.00002355874,0.0002487935,0.00001180064,0.0001035187,0.0000126884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002230869,"about_ca_system_score_gemma":0.000009519868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005267038,"about_ca_topic_score_gemma":0.00001123094,"domain_scores_codex":[0.9993064,0.00002478503,0.0001831322,0.0001149561,0.0002229036,0.0001478323],"domain_scores_gemma":[0.9996001,0.00008575676,0.00004122933,0.0001350906,0.00006882653,0.00006898123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002229671,0.0004590267,0.003184057,0.0001521096,0.00007812113,0.000004932762,0.002890013,0.01457381,0.1225564,0.0000528141,0.00007414505,0.8559522],"study_design_scores_gemma":[0.002933421,0.0003218671,0.07208004,0.00009594827,0.00005572967,0.000004035931,0.0002666818,0.8589422,0.06299194,0.0006746589,0.001148985,0.0004844601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7173329,0.000009387491,0.2819736,0.00004693478,0.0001239827,0.0004193563,0.000003550064,0.00006266975,0.00002763815],"genre_scores_gemma":[0.9993659,0.000007301727,0.0001513827,0.00005606782,0.0002681579,0.00006503725,0.00002876941,0.00002593381,0.00003145008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8554678,"threshold_uncertainty_score":0.4117452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012914808171736,"score_gpt":0.2552898431152426,"score_spread":0.2451606950335252,"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."}}