{"id":"W2045103730","doi":"10.1088/0960-1317/16/8/014","title":"Design, kinematic modeling and performance testing of an electro-thermally driven microgripper for micromanipulation applications","year":2006,"lang":"en","type":"article","venue":"Journal of Micromechanics and Microengineering","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microactuator; Kinematics; Materials science; Mechanical engineering; Repeatability; Surface micromachining; Voltage; Actuator; Engineering; Electrical engineering; Fabrication; Physics","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":[0.0001686698,0.0003691435,0.00025797,0.0001904669,0.0001774618,0.0003335419,0.0006810569,0.0005122015,0.0008516654],"category_scores_gemma":[0.0003201835,0.0002944977,0.0004014879,0.0001204986,0.0002137491,0.0002905634,0.000167155,0.0002513775,0.0003589597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864657,"about_ca_system_score_gemma":0.000543935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155827,"about_ca_topic_score_gemma":0.001275188,"domain_scores_codex":[0.9998672,0.00001201386,0.000006360995,0.00002893381,0.0000717954,0.00001381194],"domain_scores_gemma":[0.9998732,0.00002798169,0.00003623822,0.0000208311,0.00003408449,0.00000765725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007868089,0.00006717443,0.001272942,0.0002356991,0.00003253589,0.0003620895,0.0001159841,0.3234671,0.6479588,0.001490839,0.0002309305,0.02468729],"study_design_scores_gemma":[0.00001900829,0.0005686174,0.003085925,0.00001476236,0.00004306272,0.0002117266,0.00002501735,0.8302767,0.1612056,0.0002140826,0.004314374,0.0000211543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.395239,0.0005448006,0.5945174,0.0001618021,0.00004287353,0.0002395772,0.00018635,0.001281147,0.00778721],"genre_scores_gemma":[0.9161761,0.0003772075,0.07936826,0.00001615094,0.000006888864,0.0001585198,0.0001057194,0.00004216256,0.003749122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00155827,"threshold_uncertainty_score":0.003098369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244152097939791,"score_gpt":0.1981630925711638,"score_spread":0.1857215715917659,"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."}}