{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002835093,0.0002712992,0.0002319879,0.000315973,0.0001116113,0.0002756849,0.0004230947,0.000422056,0.0006662402],"category_scores_gemma":[0.0005012029,0.0002456757,0.0001314909,0.0002663108,0.0002327017,0.000378968,0.0002931184,0.0001858302,0.0002141006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597185,"about_ca_system_score_gemma":0.0001728772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005137366,"about_ca_topic_score_gemma":0.0006593098,"domain_scores_codex":[0.9997504,0.00005339282,0.000007500286,0.00003411413,0.0001412948,0.00001321279],"domain_scores_gemma":[0.9998412,0.00006411309,0.00002453658,0.00002116897,0.00003697955,0.00001201932],"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":[0.0003171579,0.00004997516,0.0011151,0.00012603,0.00001135626,0.0001966874,0.0002256075,0.01591936,0.7603404,0.0007764647,0.0005321957,0.2203898],"study_design_scores_gemma":[0.0000394496,0.0004896006,0.01151971,0.00002809764,0.0000240087,0.001120186,0.00013419,0.6366161,0.3434801,0.001257954,0.005207904,0.0000825938],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2514408,0.00110673,0.743715,0.0001819777,0.00007486406,0.00005920337,0.0000566446,0.001394531,0.001970272],"genre_scores_gemma":[0.8378891,0.000360983,0.1599506,0.00004821062,0.00002378564,0.00003562009,0.00004147558,0.00003822972,0.001612034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006662402,"threshold_uncertainty_score":0.002228737,"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."}}