{"id":"W2027801472","doi":"10.1115/detc2009-87067","title":"Self-Adaptive Compliant Grippers Capable of Pinch Preshaping","year":2009,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Grippers; Finite element method; Software; Compliant mechanism; Stiffness; Computer science; GRASP; Engineering; Structural engineering; Mechanical engineering","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":[0.0002136849,0.0002802516,0.0002560816,0.0002360636,0.0001934373,0.000330064,0.0005085124,0.0004161492,0.001303883],"category_scores_gemma":[0.0006826652,0.0002736935,0.0002551438,0.0001267234,0.0003375452,0.0005525179,0.0004693546,0.000297756,0.0004417104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006892154,"about_ca_system_score_gemma":0.00014331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006637296,"about_ca_topic_score_gemma":0.0001231334,"domain_scores_codex":[0.9997998,0.00001961427,0.00001587332,0.00003802803,0.0001070786,0.00001967406],"domain_scores_gemma":[0.9995039,0.0001691704,0.000104314,0.0001320332,0.00005416357,0.00003650059],"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":[0.0001029549,0.00006604352,0.0007183722,0.0002123535,0.00003696236,0.0005077511,0.0002056733,0.03212641,0.8273325,0.009007524,0.0005319645,0.1291514],"study_design_scores_gemma":[0.00008076953,0.001013365,0.004887168,0.00007070002,0.00007523316,0.00323514,0.0001169148,0.3085097,0.6353565,0.008065966,0.03844252,0.000146043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1790179,0.0003657521,0.8125442,0.00006261829,0.00005651483,0.00006227211,0.00003195537,0.001080481,0.006778308],"genre_scores_gemma":[0.7938694,0.0002705192,0.1989648,0.00006700162,0.0000245477,0.00007111191,0.00004310178,0.00007530653,0.006614145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001303883,"threshold_uncertainty_score":0.004361928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195609550486972,"score_gpt":0.2201167519705849,"score_spread":0.1981606564657152,"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."}}