{"id":"W4410399465","doi":"10.1007/s11044-025-10082-0","title":"Including limb-on-limb holonomic constraints in predictive simulation allows replicating athlete’s backflip technique","year":2025,"lang":"en","type":"article","venue":"Multibody System Dynamics","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; École Normale Supérieure","keywords":"Holonomic; Computer science; Holonomic constraints; Physical medicine and rehabilitation; Medicine; Physics; Artificial intelligence; Classical mechanics","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":[0.0002520182,0.0005070741,0.0005935421,0.0002935684,0.0005049856,0.0008976485,0.0008885294,0.001145918,0.004655159],"category_scores_gemma":[0.001417642,0.0004362787,0.0004257561,0.0002336114,0.0005302361,0.0007893216,0.0008059111,0.0006751749,0.0007168893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001861846,"about_ca_system_score_gemma":0.0008695161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007695884,"about_ca_topic_score_gemma":0.0079149,"domain_scores_codex":[0.9998764,0.00003136741,0.000006643974,0.00002019858,0.0000475879,0.00001780813],"domain_scores_gemma":[0.9995936,0.0001735972,0.00004269937,0.00009958197,0.00006156742,0.00002906256],"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":[0.00003017815,0.00004822845,0.0006127497,0.00003799264,0.00001426512,0.00009060653,0.00005099841,0.9870597,0.002774132,0.00187271,0.0001856561,0.007222698],"study_design_scores_gemma":[0.000005235951,0.00001813069,0.0002062281,0.000005006897,0.000004455311,0.00001423549,0.00001043514,0.9983625,0.0006108891,0.0004094931,0.0003492124,0.000004118996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.16574,0.0001207074,0.8063304,0.0002085327,0.000114575,0.000130837,0.0002512838,0.0008110564,0.02629269],"genre_scores_gemma":[0.972357,0.00007422514,0.02466163,0.00003791505,0.00001386813,0.000066915,0.00006612066,0.0001039925,0.002618334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007695884,"threshold_uncertainty_score":0.01557302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470343648379162,"score_gpt":0.2658702268341338,"score_spread":0.2511667903503422,"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."}}