{"id":"W4319441713","doi":"10.1115/1.4056848","title":"Wavelet-Based Methods to Partition Multibody Systems With Contact in Dynamic Simulation","year":2023,"lang":"en","type":"article","venue":"Journal of Computational and Nonlinear Dynamics","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CM Labs Simulations (Canada); McGill University","funders":"","keywords":"Multibody system; Partition (number theory); Dynamical systems theory; Computer science; Metric (unit); Topology (electrical circuits); Redundancy (engineering); Constraint (computer-aided design); Wavelet; Theoretical computer science; Mathematics; Artificial intelligence; Physics; Engineering; Classical mechanics; Geometry","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":[0.0002762759,0.00007680774,0.0001905103,0.0002719566,0.00003556627,0.00001584903,0.00003293696,0.00002925178,9.88783e-7],"category_scores_gemma":[0.00005584725,0.00006079953,0.00003095521,0.0003691704,0.00001786274,0.0000625812,0.00001020762,0.0001427788,0.00000160271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000848031,"about_ca_system_score_gemma":0.000072746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000420606,"about_ca_topic_score_gemma":0.000004628846,"domain_scores_codex":[0.9992856,0.00003869496,0.0003085751,0.0001014322,0.0001752653,0.00009046086],"domain_scores_gemma":[0.9991621,0.0003112696,0.0001515121,0.00005878982,0.0002384538,0.00007789617],"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":[0.000231483,0.00008776091,0.002682891,0.00004567496,0.00001263962,0.00003715797,0.00003172431,0.9806272,0.000443272,0.0004653098,0.00001004357,0.01532478],"study_design_scores_gemma":[0.0007739958,0.0003119316,0.06075284,0.0001535898,0.00001898931,0.00007307679,0.00003465661,0.9367761,0.00001548456,0.0007496449,0.0002797725,0.00005992316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3663402,0.0000119507,0.6321939,0.001206686,0.00002563211,0.0001742547,0.00001236168,0.00002626591,0.000008803217],"genre_scores_gemma":[0.6761211,0.000008973027,0.3236043,0.0001312093,0.00002894465,0.000004817555,0.00007404784,0.00001037201,0.0000162098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3097809,"threshold_uncertainty_score":0.2479333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05140150529499968,"score_gpt":0.4349178877120984,"score_spread":0.3835163824170987,"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."}}