{"id":"W2066792507","doi":"10.1117/12.523573","title":"A simple and efficient dynamic modeling method for compliant micropositioning mechanisms using flexure hinges","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Kinematics; Hinge; Computer science; Jacobian matrix and determinant; Mechanism (biology); Control theory (sociology); Simple (philosophy); Four-bar linkage; Trajectory; Constraint (computer-aided design); Mathematics; Structural engineering; Mechanical engineering; Physics; Engineering; Applied mathematics; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004804423,0.0003320035,0.0004397934,0.0001142168,0.0001529812,0.000128315,0.0004300172,0.000176735,0.000001806847],"category_scores_gemma":[0.0001374429,0.0002991548,0.0004147954,0.0002188426,0.00006129429,0.0002441069,0.00008084714,0.0002552254,2.179527e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003193043,"about_ca_system_score_gemma":0.00002811676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001583858,"about_ca_topic_score_gemma":2.506129e-7,"domain_scores_codex":[0.9982921,1.306033e-8,0.0005490721,0.0003381886,0.0003674789,0.0004531088],"domain_scores_gemma":[0.998872,0.00009647124,0.0001629784,0.00004498823,0.000710031,0.0001134606],"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":[0.00004130539,0.00003879406,0.000003512446,0.0004032125,0.0003085817,6.155605e-8,0.0001814466,0.1473854,0.6435093,0.2073009,0.0000372713,0.0007900856],"study_design_scores_gemma":[0.001125011,0.0001341684,0.000008112865,0.0002228208,0.0001782719,0.00002520647,0.000612822,0.9445465,0.04451437,0.008279306,0.00006078584,0.0002926662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7325194,0.000238347,0.2660978,0.0003138381,0.0001094109,0.000499356,0.00004531882,0.0001067438,0.00006976714],"genre_scores_gemma":[0.6178153,0.00003101435,0.3818782,0.00003823422,0.00009209228,0.00007781279,0.000005526848,0.00005700062,0.000004855777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.797161,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009164015569772263,"score_gpt":0.2363196223924235,"score_spread":0.2271556068226513,"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."}}