{"id":"W2100829238","doi":"10.1109/robot.2006.1641723","title":"Calibration of multi-axis MEMS force sensors using the shape from motion method","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Calibration; Microelectromechanical systems; Capacitive sensing; Computer science; Linearity; Motion (physics); Acoustics; Electronic engineering; Physics; Artificial intelligence; Engineering; Optoelectronics","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":[0.0008013334,0.0006989301,0.0005218031,0.0005976953,0.0002744222,0.0003877723,0.0007668414,0.0007884199,0.0006074384],"category_scores_gemma":[0.001867287,0.0003759567,0.0003218502,0.0003433357,0.0005156276,0.0009429892,0.00061396,0.0005726778,0.0003456136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004403088,"about_ca_system_score_gemma":0.0003297724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003616838,"about_ca_topic_score_gemma":0.0006733224,"domain_scores_codex":[0.99854,0.0002160925,0.00005134233,0.0002335416,0.0009224681,0.00003646185],"domain_scores_gemma":[0.9990491,0.0002785219,0.0002176145,0.0001576517,0.0002673229,0.0000297094],"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":[0.0001353209,0.00004062457,0.002026936,0.0001508724,0.00003182425,0.00007339426,0.0001487103,0.008973896,0.8344291,0.002888831,0.0003575867,0.1507429],"study_design_scores_gemma":[0.00003918101,0.0004321909,0.005172239,0.00002163558,0.00002375664,0.0007985404,0.00004717171,0.1420562,0.8412043,0.001010392,0.009102571,0.00009174033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07040036,0.0007727321,0.9259968,0.0001869423,0.0001197793,0.00009161288,0.00005076066,0.0006066361,0.001774353],"genre_scores_gemma":[0.4070512,0.000546869,0.5899308,0.0002014121,0.00005363568,0.000129712,0.00008967633,0.00009955047,0.001897175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008013334,"threshold_uncertainty_score":0.00423795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261694327462415,"score_gpt":0.2705849261133697,"score_spread":0.2444154933671281,"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."}}