{"id":"W2985114722","doi":"10.3390/act8040076","title":"Pneumatic Hyperelastic Actuators for Grasping Curved Organic Objects","year":2019,"lang":"en","type":"article","venue":"Actuators","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vineland Research and Innovation Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Actuator; Grippers; Pneumatic actuator; Hyperelastic material; Soft robotics; Mechanical engineering; Materials science; Polydimethylsiloxane; Contact force; Computer science; Engineering; Structural engineering; Artificial intelligence; Finite element method; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.00007288693,0.0001792265,0.000203695,0.0000859174,0.0000713869,0.0000413782,0.0001843712,0.00008518915,0.0001501097],"category_scores_gemma":[0.00008630828,0.0001764076,0.00008227905,0.0002414611,0.00001411913,0.00009599336,0.00002326172,0.0001153376,0.0005538203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007309815,"about_ca_system_score_gemma":0.00002796552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003407672,"about_ca_topic_score_gemma":0.000005963579,"domain_scores_codex":[0.9991729,0.000006002593,0.0002138184,0.0001916712,0.0001122468,0.0003033395],"domain_scores_gemma":[0.9992005,0.0002974788,0.0000375992,0.0003272038,0.00003992091,0.00009726233],"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":[0.00008824629,0.001013967,0.07347684,0.006612883,0.0034607,0.00001546872,0.01482942,0.2028838,0.3713568,0.1015072,0.03624751,0.1885072],"study_design_scores_gemma":[0.00469964,0.0004958996,0.02261114,0.0005730623,0.0005698915,0.00004181466,0.002365986,0.8741116,0.04701515,0.02310036,0.02058416,0.003831295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621712,0.00005159822,0.1355955,0.00003437221,0.0006442039,0.0005108368,0.000004398675,0.0004012871,0.0005866486],"genre_scores_gemma":[0.9972537,0.00001814807,0.002322907,0.00005168738,0.00006626165,0.00008606863,0.00001850808,0.00008145425,0.0001013267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6712278,"threshold_uncertainty_score":0.7193695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005039442050520261,"score_gpt":0.1862518623133688,"score_spread":0.1812124202628485,"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."}}