{"id":"W2806631684","doi":"10.1109/tmech.2018.2844327","title":"Grasp and Stress Analysis of an Underactuated Finger for Proprioceptive Tactile Sensing","year":2018,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Underactuation; GRASP; Wrench; Computer science; Grippers; Joint (building); Finger joint; Engineering; Simulation; Artificial intelligence; Robot; Structural engineering; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002392576,0.0002630657,0.0003059702,0.0003006479,0.0001476528,0.0004537669,0.0005125561,0.0003021536,0.0009095173],"category_scores_gemma":[0.0004907858,0.0001489734,0.0002791478,0.000157505,0.0003092596,0.0004501873,0.0003076826,0.0001669271,0.0001784067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250189,"about_ca_system_score_gemma":0.0002951265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258779,"about_ca_topic_score_gemma":0.0002642464,"domain_scores_codex":[0.9996899,0.00002507047,0.0000153003,0.00005208935,0.0001956902,0.00002199496],"domain_scores_gemma":[0.999697,0.00006943663,0.00006894663,0.00006702755,0.00007370163,0.00002390691],"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":[0.0001650471,0.00004358762,0.001277954,0.0001883446,0.00002265563,0.000275886,0.0001636386,0.03949843,0.908581,0.001919644,0.0001733813,0.04769045],"study_design_scores_gemma":[0.00002923747,0.001755792,0.0120948,0.00002960469,0.00006453341,0.0008686885,0.0001468759,0.5075112,0.4682293,0.001605111,0.00758476,0.00008006024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6000648,0.0005188964,0.3948715,0.00009781266,0.00004175036,0.00005892783,0.00007729388,0.0003781462,0.003890804],"genre_scores_gemma":[0.9602175,0.0001453631,0.03805456,0.00001439467,0.000006004088,0.00002272392,0.0000289226,0.00001701618,0.001493524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009095173,"threshold_uncertainty_score":0.003042579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190821549490486,"score_gpt":0.2606044609374942,"score_spread":0.2415223059884456,"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."}}