{"id":"W2579569765","doi":"10.1123/jab.2016-0143","title":"Inverse Dynamics Modeling of Paralympic Wheelchair Curling","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Biomechanics","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Curling; Kinematics; Inverse dynamics; Wheelchair; Biomechanics; Inverse kinematics; Physical medicine and rehabilitation; Angular velocity; Elbow; Simulation; Computer science; Engineering; Medicine; Physics; Mechanical engineering; Anatomy","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":[0.0009198971,0.0001534997,0.0005295176,0.0004052715,0.0001534999,0.0000452139,0.0004980669,0.000151995,0.00003141461],"category_scores_gemma":[0.0001438242,0.0001265571,0.0002069968,0.0001628107,0.00007009797,0.0001509203,0.0001748273,0.0004787933,0.00001299895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131581,"about_ca_system_score_gemma":0.0003013275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001827733,"about_ca_topic_score_gemma":0.00000932894,"domain_scores_codex":[0.9981422,0.00001186269,0.0006748369,0.0001557543,0.0007302515,0.0002851272],"domain_scores_gemma":[0.9978248,0.00002431525,0.0008352146,0.0005718003,0.0005200317,0.0002238443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01391992,0.0007574121,0.0006459613,0.0009282244,0.0008128248,0.000387971,0.0003431652,0.001695099,0.8264642,0.0216413,0.0006328607,0.1317711],"study_design_scores_gemma":[0.002620452,0.001826668,0.00003622488,0.0003316388,0.0001950644,0.0001995661,0.0007863285,0.9443713,0.04016763,0.008944886,0.0003416499,0.0001785938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633994,0.0001548691,0.03185929,0.0007148655,0.0004144436,0.0002674147,0.000008334155,0.00001492643,0.003166421],"genre_scores_gemma":[0.988412,0.0003430985,0.01081283,0.00008444237,0.0002454951,0.000001922591,0.000003044888,0.00003019064,0.0000669325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9426762,"threshold_uncertainty_score":0.5160847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0580615339590017,"score_gpt":0.3586216163520782,"score_spread":0.3005600823930765,"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."}}