{"id":"W2017880663","doi":"10.1007/s10544-008-9197-0","title":"A micro-tactile sensor for in situ tissue characterization in minimally invasive surgery","year":2008,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Tactile sensor; Materials science; Finite element method; Acoustics; Biomedical engineering; Parametric statistics; Piezoelectricity; Piezoelectric sensor; Microelectromechanical systems; Mechanical engineering; Computer science; Artificial intelligence; Engineering; Structural engineering; Robot; Composite material; Nanotechnology; Physics","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":[0.00009351218,0.0001203751,0.000217452,0.0002226274,0.00003334269,0.00001469131,0.0001002829,0.0001198904,0.00002131093],"category_scores_gemma":[0.00005929859,0.0001255546,0.00003704737,0.0003663074,0.0000541235,0.00007882972,0.0000164524,0.00008381612,0.00003366413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005304611,"about_ca_system_score_gemma":0.00005369859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002467495,"about_ca_topic_score_gemma":0.0001208819,"domain_scores_codex":[0.9991453,0.00001177559,0.0003276491,0.0001911324,0.00008031402,0.0002437908],"domain_scores_gemma":[0.9994454,0.000304483,0.00004031723,0.0001151604,0.00002239334,0.00007226855],"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":[0.000006361328,0.00007686651,0.004650376,0.0001196451,0.000006949911,0.00001344676,0.0003057702,0.00001346939,0.9922583,0.000005522143,0.0007980106,0.001745352],"study_design_scores_gemma":[0.0009558285,0.00004368324,0.2599545,0.0002800577,0.00001472888,0.00004826203,0.0001609859,0.001328923,0.5988984,0.00003960477,0.137681,0.0005940518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974548,0.0001792568,0.001320165,0.0003843492,0.0001475653,0.0003068295,0.00007691418,0.00007379874,0.00005638111],"genre_scores_gemma":[0.9959232,0.0002827318,0.002901502,0.0001253255,0.0001310478,0.0001260001,0.0004339126,0.00002668483,0.00004965778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3933599,"threshold_uncertainty_score":0.5119967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190882344945076,"score_gpt":0.2369893355719125,"score_spread":0.2179011010774049,"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."}}