{"id":"W2548275431","doi":"10.1109/cibec.2008.4786086","title":"An intelligent grasping system for applications in prosthetic hands","year":2008,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"GRASP; Object (grammar); Computer science; Artificial intelligence; Human–computer interaction; Prosthetic hand; Computer vision","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":[],"consensus_categories":[],"category_scores_codex":[0.00004813521,0.00005137762,0.00006363734,0.00007025879,0.00005688502,0.00001092378,0.00004740684,0.00002591725,0.000009992763],"category_scores_gemma":[0.000002278065,0.00004899,0.00001845198,0.0001018352,0.000005631464,0.00005240199,0.000002674856,0.00004288559,0.00001667683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004291543,"about_ca_system_score_gemma":0.00000403548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007621799,"about_ca_topic_score_gemma":0.00001296441,"domain_scores_codex":[0.9996659,0.0000055518,0.0001224278,0.00007521961,0.00003614719,0.00009477404],"domain_scores_gemma":[0.9998406,0.00001248629,0.000008646591,0.00009494562,0.00001292705,0.00003040987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001206132,0.00001178822,0.006711373,0.00007463223,0.000002754586,4.365349e-7,0.000550991,0.9841177,0.0005728789,0.006531092,0.00003306472,0.001392007],"study_design_scores_gemma":[0.0001487551,0.0000198448,0.006230824,0.00001768257,0.000001862887,0.000006143346,0.0003747095,0.989676,0.001988825,0.00002194669,0.0014226,0.00009083081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1040544,0.00003979817,0.8925065,0.000008354978,0.00003579362,0.0003893886,6.509946e-8,0.000359946,0.002605791],"genre_scores_gemma":[0.9982558,0.000003928418,0.001366673,0.00000644372,0.00002717932,0.0001811952,0.00001109742,0.00001495681,0.000132712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8942015,"threshold_uncertainty_score":0.1997754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315453781259171,"score_gpt":0.2540434204051735,"score_spread":0.2224980422792564,"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."}}