{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551184,0.000342181,0.0001956995,0.0001802147,0.0001713335,0.000261902,0.0003409406,0.0004312934,0.0006444728],"category_scores_gemma":[0.0002635761,0.0001887278,0.0001425647,0.00007166078,0.0002580512,0.0004356451,0.0003432597,0.0002567309,0.000201336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001993779,"about_ca_system_score_gemma":0.0001450154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002887278,"about_ca_topic_score_gemma":0.0005793532,"domain_scores_codex":[0.9998606,0.00001010418,0.000008131727,0.00003703179,0.00006411348,0.00001993542],"domain_scores_gemma":[0.9998341,0.00005772809,0.00004367734,0.00001886888,0.00002580126,0.00001996642],"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":[0.00001400845,0.000006300229,0.00004353277,0.00002010409,0.000001494359,0.00003276338,0.00001221076,0.00007607447,0.9959033,0.0001003515,0.00005655403,0.003733213],"study_design_scores_gemma":[0.00001457413,0.0001998947,0.001410444,0.000004712698,0.000005388819,0.0003359311,0.0000139468,0.004686558,0.9901133,0.00008835328,0.003112494,0.00001450966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949831,0.002745725,0.09672221,0.0004048518,0.0002511124,0.0001141465,0.000127697,0.0008109823,0.003840063],"genre_scores_gemma":[0.8996264,0.000690821,0.09598132,0.0002265818,0.00008515858,0.00007081951,0.00008410202,0.00003878628,0.003196058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006444728,"threshold_uncertainty_score":0.00215596,"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."}}