{"id":"W2110364366","doi":"10.1109/biorob.2008.4762808","title":"Experimental evaluation of robot-assisted tactile sensing for minimally invasive surgery","year":2008,"lang":"en","type":"article","venue":"","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute","funders":"","keywords":"Palpation; Tactile sensor; Robot; Invasive surgery; Robotic surgery; Computer science; Artificial intelligence; Biomedical engineering; Surgical robot; Robotics; Computer vision; Simulation; Engineering; Medicine; Surgery","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":[0.000103346,0.00006308623,0.0001083546,0.00004672558,0.00004674553,0.000005054173,0.00002710638,0.00003217727,0.00004563429],"category_scores_gemma":[0.00005119733,0.00006623642,0.00005937069,0.00008357874,0.00001706213,0.00004558305,0.000006186862,0.00002006032,0.000004798352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004875754,"about_ca_system_score_gemma":0.00005128244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001202617,"about_ca_topic_score_gemma":0.000007484344,"domain_scores_codex":[0.9995228,0.000007916934,0.0001659523,0.00008044871,0.0001332133,0.00008964909],"domain_scores_gemma":[0.999492,0.0002263771,0.00002912558,0.0001062392,0.0001193114,0.00002696118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000680901,0.0000740475,0.0003873411,0.00003126622,0.00005833868,6.897853e-7,0.0003555058,0.07926564,0.9062058,0.0001300989,0.007886545,0.005597945],"study_design_scores_gemma":[0.000244284,0.0000112076,0.00959974,0.000012447,0.00002598151,0.00001040597,0.0002031273,0.2073132,0.7823065,0.00003565518,0.0001265633,0.0001109455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805633,0.0001103446,0.01662013,0.0000224779,0.00009981612,0.0002772658,0.000004443826,0.00008509966,0.002217078],"genre_scores_gemma":[0.9849408,0.000004739269,0.01489829,0.00001152718,0.00003397485,0.00003435418,0.00002559937,0.00001585164,0.00003492514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1280475,"threshold_uncertainty_score":0.2701043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09345209962693231,"score_gpt":0.2903235892918674,"score_spread":0.1968714896649351,"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."}}