{"id":"W2135031532","doi":"10.1109/wcica.2006.1712338","title":"Interactive Simulation of Progressive Cutting Model","year":2006,"lang":"en","type":"article","venue":"","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Surgical simulation; Visualization; Virtual reality; Computer graphics (images); Solid modeling; Artificial neural network; Artificial intelligence; Simulation; Human–computer interaction","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":[0.0001868023,0.0003975544,0.0003714458,0.0003198519,0.0003060533,0.0005163685,0.000769187,0.0009216224,0.008156769],"category_scores_gemma":[0.000667449,0.0001910894,0.0005296276,0.0001990719,0.0003702173,0.0005045042,0.0007448345,0.0004254204,0.0003599401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650321,"about_ca_system_score_gemma":0.0004513549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015017,"about_ca_topic_score_gemma":0.005718668,"domain_scores_codex":[0.9998819,0.00002340727,0.000004909584,0.00001709373,0.00005374644,0.00001901807],"domain_scores_gemma":[0.9998419,0.00008297125,0.00001171736,0.00001998566,0.00002703645,0.00001635562],"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":[0.00006960695,0.00003234284,0.0004902851,0.0000391919,0.00001236707,0.0001532008,0.00009199954,0.9831182,0.004759728,0.004710022,0.0004998516,0.006023153],"study_design_scores_gemma":[0.000008053119,0.000012815,0.00009184089,0.000001617605,0.000001690313,0.00001345042,0.000006108906,0.9986117,0.0005020229,0.0003931927,0.0003549061,0.000002550518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3987161,0.0002196603,0.5537033,0.0004098819,0.0001250816,0.0001521066,0.0008433836,0.002625534,0.04320498],"genre_scores_gemma":[0.9624671,0.0000984566,0.02954054,0.00002982124,0.00001036558,0.0001025266,0.000254922,0.0001018405,0.007394604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01015017,"threshold_uncertainty_score":0.02728713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298286387791708,"score_gpt":0.2772174018308034,"score_spread":0.2642345379528863,"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."}}