{"id":"W2116486710","doi":"10.1109/jmems.2004.825311","title":"Microassembly of 3-D Microstructures Using a Compliant, Passive Microgripper","year":2004,"lang":"en","type":"article","venue":"Journal of Microelectromechanical Systems","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":235,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"CMC Microsystems","keywords":"GRASP; Planar; Deflection (physics); Mechanical engineering; Interlocking; Developable surface; Computer science; Engineering; Engineering drawing; Surface (topology); Computer graphics (images); Geometry; Physics; Optics","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":[0.00007432594,0.0002373819,0.0001599349,0.0001435014,0.0002295588,0.0002690887,0.0003448814,0.0002828341,0.0006871167],"category_scores_gemma":[0.0001353631,0.0002405768,0.0002746945,0.00008561305,0.0002309339,0.000330024,0.0002610305,0.0002588451,0.0004076077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050689,"about_ca_system_score_gemma":0.0001850695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990822,"about_ca_topic_score_gemma":0.0008873098,"domain_scores_codex":[0.9999245,0.000004835113,0.000004985923,0.00002323828,0.00003264198,0.000009690522],"domain_scores_gemma":[0.9998958,0.00002349972,0.00002701654,0.00002508424,0.00001503003,0.00001349521],"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":[0.00001261264,0.00001454328,0.0001586113,0.00004660119,0.000005678557,0.0001006952,0.00003210149,0.001688307,0.9768716,0.00101862,0.0001961222,0.01985454],"study_design_scores_gemma":[0.00002178996,0.0003653367,0.002713503,0.00001171708,0.00002691958,0.0009255232,0.00002879728,0.02689535,0.9398477,0.0006857814,0.0284463,0.00003133295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3538551,0.001412618,0.6316813,0.0002273249,0.000192141,0.0001571778,0.0001789155,0.002554217,0.009741197],"genre_scores_gemma":[0.5508208,0.0007550732,0.4427938,0.0001687217,0.00004191562,0.0001049764,0.0001478448,0.0001067579,0.005060094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006871167,"threshold_uncertainty_score":0.002298653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063291442703274,"score_gpt":0.2284095330650732,"score_spread":0.2177766186380404,"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."}}