{"id":"W1542399126","doi":"10.1007/11866565_48","title":"Viscoelasticity Modeling of the Prostate Region Using Vibro-elastography","year":2006,"lang":"en","type":"article","venue":"Lecture notes in computer science","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Imaging phantom; Elastography; Viscoelasticity; Transducer; Acoustics; Stiffness; Biomedical engineering; Ultrasound; Materials science; Computer science; Physics; Optics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002335423,0.0001360356,0.000187054,0.0003507321,0.00017558,0.00004479816,0.0002550826,0.00004302243,8.570826e-7],"category_scores_gemma":[0.00006471517,0.00008992275,0.0001104727,0.002289267,0.0006228518,0.000139317,0.00009585758,0.0002464289,3.729559e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000417395,"about_ca_system_score_gemma":0.000128946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003513264,"about_ca_topic_score_gemma":0.00002437071,"domain_scores_codex":[0.9986469,0.00003151038,0.0002463033,0.0003514549,0.0003955117,0.0003283419],"domain_scores_gemma":[0.9992864,0.00008733213,0.00008729586,0.0003541444,0.0001380931,0.00004670227],"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":[0.00002531622,0.00008257356,0.1559684,0.00003543383,0.000004407154,0.000001896619,0.0003314616,0.7798041,0.05818231,0.00001453468,0.000001799728,0.005547873],"study_design_scores_gemma":[0.0003402508,0.00008053781,0.01992192,0.0003212403,0.00001986642,0.0001113475,0.000001584546,0.9638916,0.01212218,0.003064979,0.00001089603,0.0001136003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4737789,0.00005776015,0.525691,0.0001428766,0.0001940309,0.0001016529,4.226063e-7,0.00001838588,0.00001489652],"genre_scores_gemma":[0.8415657,0.000002049971,0.1581084,0.0002138334,0.000100249,0.000001320214,4.827593e-7,0.000007695989,2.837481e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3677867,"threshold_uncertainty_score":0.3666943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241970672788384,"score_gpt":0.2431948584044748,"score_spread":0.2307751516765909,"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."}}