{"id":"W2679434042","doi":"10.1299/jsmermd.2013._1p1-n08_1","title":"1P1-N08 Joint Coordination of Index Finger Motions(Musculoskeletal modeling)","year":2013,"lang":"en","type":"article","venue":"The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Excursion; Joint (building); Angular displacement; Interphalangeal Joint; Index finger; Position (finance); Finger joint; Motor coordination; Computer science; Mathematics; Anatomy; Structural engineering; Engineering; Psychology; Geometry; Biology; Medicine; Neuroscience","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":[0.0003827667,0.0002380785,0.0003505153,0.0001850991,0.0001854323,0.0001072029,0.0003246603,0.000120185,0.00004315226],"category_scores_gemma":[0.0003402267,0.0001767829,0.0001138372,0.0002391093,0.00016745,0.0004938651,0.000133969,0.0002899109,0.00001381146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000301962,"about_ca_system_score_gemma":0.00007412745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008316461,"about_ca_topic_score_gemma":0.00000289426,"domain_scores_codex":[0.9982651,0.00002421096,0.0005039846,0.0003915665,0.0004751949,0.0003399368],"domain_scores_gemma":[0.9983683,0.00006533455,0.0003930235,0.0001537468,0.0009163218,0.0001033027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003510994,0.000167897,0.00002942574,0.0001167316,0.00002049943,1.646899e-7,0.001105284,0.02405677,0.2327547,0.7376559,0.00007930094,0.003978195],"study_design_scores_gemma":[0.0007863622,0.0006584606,0.0003655464,0.0001218413,0.00005002932,0.000004941934,0.001862812,0.9143584,0.007779466,0.07371712,0.0000300689,0.0002649406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643602,0.00006600822,0.02665948,0.005650749,0.0001647057,0.0009144531,0.0000286002,0.00006058858,0.002095224],"genre_scores_gemma":[0.9984903,0.0001930625,0.0006635264,0.0001270594,0.00004637519,0.00003979423,0.00000320226,0.0000216738,0.0004150015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8903016,"threshold_uncertainty_score":0.7208996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572989774925617,"score_gpt":0.2489598749386308,"score_spread":0.2132299771893746,"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."}}