{"id":"W2133823800","doi":"10.1109/tbme.2005.847548","title":"Interactive Simulation of Needle Insertion Models","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":228,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Haptic technology; Simulation; Computer science; Virtual reality; Deflection (physics); Planar; Interactive simulation; Torque; Displacement (psychology); Biomedical engineering; Materials science; Computer graphics (images); Engineering; Physics; Artificial intelligence; Optics","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":[0.0003676533,0.0006257336,0.000585699,0.0003893646,0.0004052752,0.001079189,0.00174997,0.001534863,0.005180489],"category_scores_gemma":[0.00187929,0.0004669522,0.0008002056,0.0002750983,0.0008356845,0.0008262773,0.002243563,0.0006728429,0.0005514838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465353,"about_ca_system_score_gemma":0.0007891862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002824885,"about_ca_topic_score_gemma":0.001712919,"domain_scores_codex":[0.9994824,0.00009685854,0.00002348877,0.00006063785,0.0002808784,0.00005576809],"domain_scores_gemma":[0.9991618,0.0004714141,0.00006587505,0.00011729,0.00009782479,0.00008582023],"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":[0.000175934,0.00007461992,0.000819459,0.00007349619,0.00002472065,0.0004158951,0.000338561,0.9499286,0.02493342,0.00836368,0.0006886682,0.014163],"study_design_scores_gemma":[0.00002572228,0.00004295724,0.0001346656,0.00000492436,0.000006445175,0.000101716,0.00001859979,0.9932047,0.003519742,0.001081515,0.001845719,0.00001336517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08232281,0.000102909,0.907492,0.0001501623,0.00004770266,0.0001096363,0.0001830431,0.002076872,0.007514817],"genre_scores_gemma":[0.8281988,0.0002422257,0.1630304,0.00009923202,0.00002746328,0.0003891812,0.0003819746,0.000412001,0.007218702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005180489,"threshold_uncertainty_score":0.01733041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229162444242921,"score_gpt":0.2275482597079799,"score_spread":0.2152566352655507,"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."}}