{"id":"W2961410126","doi":"10.1002/aisy.201900019","title":"Toward a Smart Compliant Robotic Gripper Equipped with 3D‐Designed Cellular Fingers","year":2019,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Advanced Materials and Mechanics","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Grippers; Soft robotics; Stiffness; Process (computing); 3D printing; Biomimetics; Computer science; Bending; Materials science; Robot; Mechanical engineering; Engineering; Structural engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000154631,0.0004074043,0.0006023493,0.00009755843,0.00005580967,0.00006862582,0.0002586697,0.0001153544,0.0001625185],"category_scores_gemma":[0.0000110902,0.0003428904,0.00007876915,0.0001892218,0.00002368183,0.0002536519,0.0000411787,0.0001674653,0.0007740996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949099,"about_ca_system_score_gemma":0.00002214695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001732976,"about_ca_topic_score_gemma":0.000003659069,"domain_scores_codex":[0.9981101,0.00003818171,0.0005164258,0.0004154858,0.0002943414,0.0006254851],"domain_scores_gemma":[0.9990394,0.0000561499,0.0001118505,0.0005421919,0.00008487703,0.0001655155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005896564,0.00002189836,0.00002464797,0.0005665669,0.00006848227,0.00002418437,0.0002011225,0.6256733,0.3710416,0.001486555,0.00007632552,0.0007563701],"study_design_scores_gemma":[0.001934363,0.001068312,0.00001951247,0.002004499,0.0001285588,0.0001230068,0.002169218,0.2893541,0.6269838,0.0003552932,0.07364582,0.002213583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075967,0.00225744,0.8799498,0.00001736809,0.005175127,0.001530558,0.00001479879,0.0007054821,0.002752747],"genre_scores_gemma":[0.9916416,0.0002300793,0.006359245,0.00004156919,0.0001032167,0.0001010438,0.00003424877,0.0001371056,0.0013519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8840449,"threshold_uncertainty_score":0.9999023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841627981035938,"score_gpt":0.2138862170982612,"score_spread":0.1954699372879019,"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."}}