{"id":"W2159784255","doi":"10.1186/1743-0003-10-54","title":"Effects of underestimating the kinematics of trunk rotation on simultaneous reaching movements: predictions of a biomechanical model","year":2013,"lang":"en","type":"article","venue":"Journal of NeuroEngineering and Rehabilitation","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Torso; Clockwise; Kinematics; Rotation (mathematics); Trunk; Torque; Trajectory; Biomechanics; Physical medicine and rehabilitation; Control theory (sociology); Computer science; Simulation; Physics; Anatomy; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002297291,0.0010068,0.0004494834,0.0003778628,0.0002090493,0.0006428227,0.0005363922,0.00117654,0.001319347],"category_scores_gemma":[0.01786782,0.0004537972,0.0006933645,0.000134311,0.0009455835,0.0007157527,0.0007913954,0.001060227,0.0002154205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390955,"about_ca_system_score_gemma":0.0005734721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369014,"about_ca_topic_score_gemma":0.002192021,"domain_scores_codex":[0.9994566,0.0001563442,0.00005843972,0.0001171871,0.0001360166,0.00007542271],"domain_scores_gemma":[0.9885045,0.009127517,0.001110648,0.0005823291,0.0004036079,0.0002714557],"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":[0.006994965,0.0008017403,0.06909855,0.0005905605,0.0003661401,0.001496808,0.0007171851,0.6972268,0.1883744,0.001997619,0.0004462197,0.0318891],"study_design_scores_gemma":[0.0001631526,0.001980984,0.07060469,0.0000374542,0.0001794646,0.0004208593,0.0000862245,0.9066291,0.01579239,0.003907618,0.0001334201,0.00006463278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650203,0.000165003,0.0333439,0.0003430566,0.00003574291,0.00007880945,0.00008869942,0.00009943038,0.0008249737],"genre_scores_gemma":[0.9960235,0.00008095427,0.003601584,0.00005871127,0.000009174428,0.00003860501,0.00005276196,0.000015166,0.0001195274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00369014,"threshold_uncertainty_score":0.01214939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108936604232501,"score_gpt":0.2308984351546849,"score_spread":0.2198090691123599,"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."}}