{"id":"W2143224448","doi":"10.5539/mer.v3n2p64","title":"Modelling Prostate Deformation: SOFA versus Experiments","year":2013,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imaging phantom; Deformation (meteorology); Indentation; Prostate; Mean squared error; Biomedical engineering; Ultrasound; Materials science; Medicine; Nuclear medicine; Radiology; Mathematics; Cancer; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002540348,0.0001241531,0.0001126123,0.0001288498,0.00009593427,0.0001161334,0.0002271855,0.00008254463,0.0001462753],"category_scores_gemma":[0.00004528609,0.0001244704,0.00003902561,0.0003636992,0.0000139424,0.0001866369,0.00007668477,0.0003923151,0.0007650432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001223772,"about_ca_system_score_gemma":0.00001215382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002918232,"about_ca_topic_score_gemma":2.934808e-7,"domain_scores_codex":[0.9987389,0.00001063808,0.000206729,0.0001624909,0.0003778963,0.0005033367],"domain_scores_gemma":[0.9992693,0.0001436511,0.000007278427,0.0002851954,0.0001141076,0.0001804548],"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":[0.000002877274,0.00001491095,7.346945e-7,0.00003329704,0.00001676172,9.983589e-7,0.0000808314,0.9797404,0.01036694,0.0080519,0.0005384301,0.001151954],"study_design_scores_gemma":[0.0002620565,0.0000292526,0.000005662109,0.00001806498,0.000001862789,0.000001445567,0.00004612139,0.9848251,0.01185383,0.0005735636,0.002247837,0.0001352307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2555169,0.0003101649,0.7390693,0.00022296,0.0006050038,0.0009440248,0.000005164736,0.00109016,0.002236283],"genre_scores_gemma":[0.9860877,0.00005136026,0.01309442,0.000003823901,0.0001041013,0.0005018775,0.0000107195,0.00004994509,0.00009605517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7305707,"threshold_uncertainty_score":0.9833337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08563510100638695,"score_gpt":0.3176546116620225,"score_spread":0.2320195106556355,"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."}}