{"id":"W2065993839","doi":"10.1007/s11044-012-9325-8","title":"Multibody simulation of the musculoskeletal system of the human hand","year":2012,"lang":"en","type":"article","venue":"Multibody System Dynamics","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Multibody system; Nonlinear system; Prosthetic hand; Computer science; Joint (building); Controller (irrigation); Nonlinear model; Action (physics); Engineering; Control theory (sociology); Control engineering; Simulation; Structural engineering; Artificial intelligence; Control (management); Physics","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":[0.0001590506,0.0002815902,0.0003432218,0.0002613442,0.000242644,0.0003832386,0.0004757838,0.001011252,0.005265099],"category_scores_gemma":[0.0008547165,0.0002072298,0.0003304727,0.0001659119,0.0003496492,0.0003052639,0.0005026756,0.0003614818,0.0003922708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895137,"about_ca_system_score_gemma":0.0003295398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004287282,"about_ca_topic_score_gemma":0.002667039,"domain_scores_codex":[0.9999194,0.00002856801,0.000004035447,0.00001066436,0.00002585492,0.00001140804],"domain_scores_gemma":[0.9996656,0.0002258684,0.00002429104,0.0000272231,0.00002702049,0.00002999428],"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":[0.0001023825,0.00004576156,0.0005356816,0.00007216916,0.00002185515,0.0002211063,0.0001139734,0.9853789,0.00528852,0.002055223,0.0002999193,0.005864587],"study_design_scores_gemma":[0.000016927,0.00003540434,0.0004114828,0.000007022387,0.000003741275,0.00003750536,0.00002454989,0.997636,0.0006547121,0.0007670959,0.0004017203,0.000003903794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720055,0.0004399723,0.2491309,0.0005830115,0.0001269346,0.000113832,0.0005462174,0.0008782829,0.02812574],"genre_scores_gemma":[0.989949,0.00007216703,0.007416924,0.00003180864,0.000007567661,0.0000365079,0.0000627762,0.00002569886,0.00239759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005265099,"threshold_uncertainty_score":0.01761347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201082244024944,"score_gpt":0.252223407683708,"score_spread":0.2402125852434585,"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."}}