{"id":"W2241070727","doi":"10.4028/www.scientific.net/amm.798.319","title":"Real-Time 2D Surface Profile Mapping of Biological Tissue with Force Feedback in Robot-Assisted Minimally Invasive Surgery","year":2015,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Haptic technology; Robot; Caster; Ball (mathematics); Invasive surgery; Encoder; SIGNAL (programming language); Strain gauge; Engineering; Biomedical engineering; Computer vision; Computer science; Simulation; Artificial intelligence; Control theory (sociology); Mechanical engineering; Structural engineering; Mathematics; Surgery; Medicine","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":[0.000306085,0.0001584196,0.0004039155,0.00005269685,0.00002166798,0.00002981669,0.00008267995,0.0001176662,0.00003262716],"category_scores_gemma":[0.00001577197,0.0001344832,0.00001369728,0.0001663204,0.0000162017,0.00003113093,0.00005171318,0.00004005362,0.00001835949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002590725,"about_ca_system_score_gemma":0.00004130481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003199763,"about_ca_topic_score_gemma":0.000009418576,"domain_scores_codex":[0.9991526,0.00001587065,0.0003288142,0.0001995049,0.00008900945,0.0002142278],"domain_scores_gemma":[0.9995006,0.0001176928,0.00008674335,0.0001680532,0.00004308466,0.00008384911],"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":[0.00003119652,0.00002367961,0.00001341592,0.00009149449,0.00001809416,0.000002631616,0.0001058913,0.0005935843,0.9886123,0.01007682,0.0002034046,0.0002274794],"study_design_scores_gemma":[0.0006392977,0.00007830308,0.001064426,0.0001090918,0.00001896726,0.00001089717,0.0003595824,0.0007192971,0.9903741,0.005997894,0.0002412034,0.000386926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929418,0.00003221251,0.005554047,0.00002647282,0.00006409735,0.0004811513,0.00004897294,0.00009600109,0.0007552386],"genre_scores_gemma":[0.9672104,0.0001334662,0.03237866,0.00001068433,0.00002493621,0.00008093713,0.00007793915,0.00003063305,0.00005240585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02682461,"threshold_uncertainty_score":0.5484065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03245186092078714,"score_gpt":0.2217162153282881,"score_spread":0.1892643544075009,"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."}}