{"id":"W2112274618","doi":"10.1109/robot.2008.4543682","title":"MicroNewton Force-Controlled Manipulation of Biomaterials using a Monolithic MEMS Microgripper with Two-Axis Force Feedback","year":2008,"lang":"en","type":"article","venue":"","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Microelectromechanical systems; Microactuator; Contact force; Capacitive sensing; Materials science; Actuator; Haptic technology; Micromanipulator; Force dynamics; Biomedical engineering; Mechanical engineering; Nanotechnology; Computer science; Simulation; Electrical engineering; Engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001064913,0.0002335425,0.0004512684,0.00008927659,0.0001988401,0.0000352082,0.000157048,0.00005820197,0.0003732567],"category_scores_gemma":[8.912904e-7,0.0001798289,0.0001502504,0.0001958277,0.0001213524,0.0001462331,0.0000455207,0.0000473349,0.00001393113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003477001,"about_ca_system_score_gemma":0.00005668712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995963,"about_ca_topic_score_gemma":0.00001042988,"domain_scores_codex":[0.9987996,0.00002307396,0.0004770445,0.0002899511,0.0001166494,0.0002936556],"domain_scores_gemma":[0.9991684,0.0000217681,0.0002863819,0.0003451581,0.0001181078,0.00006016321],"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":[0.000151876,0.00009597214,0.00567651,0.00001346609,0.00008151063,3.290339e-7,0.0001323293,0.0001883236,0.9891424,0.004166428,0.0001340299,0.0002168412],"study_design_scores_gemma":[0.003042805,0.00009122235,0.0005298541,0.00004873427,0.00007156299,0.00001274046,0.0001473552,0.002593213,0.9916608,0.001255921,0.0002765546,0.0002691853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043579,0.0000420829,0.09145389,0.00004369189,0.00002588279,0.0008967232,0.00003511539,0.00007376014,0.003070987],"genre_scores_gemma":[0.9698483,0.000004848613,0.02811467,0.00002908778,0.00008848838,0.00009758462,0.00006840994,0.00003731949,0.001711262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06549045,"threshold_uncertainty_score":0.7333211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02038572535268227,"score_gpt":0.2751311703499935,"score_spread":0.2547454449973112,"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."}}