{"id":"W2150902470","doi":"10.1016/j.humov.2008.02.018","title":"Kinetics of hula hooping: An inverse dynamics analysis","year":2008,"lang":"en","type":"article","venue":"Human Movement Science","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Inverse dynamics; Ankle; Kinematics; Dynamics (music); Lower limb; Inverse; Angular velocity; Biomechanics; Joint (building); Variable (mathematics); Angular momentum; Physical medicine and rehabilitation; Mathematics; Computer science; Orthodontics; Anatomy; Physics; Classical mechanics; Mathematical analysis; Medicine; Engineering; Structural engineering; Geometry; Surgery; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424914,0.0003468111,0.000661156,0.0006232178,0.0005153939,0.0007683844,0.0004029232,0.0008122048,0.004595973],"category_scores_gemma":[0.001292162,0.0003836147,0.0004586781,0.000340486,0.0005009667,0.0008501763,0.0004959459,0.0006199662,0.0007882388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054724,"about_ca_system_score_gemma":0.0005485561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005547373,"about_ca_topic_score_gemma":0.004527061,"domain_scores_codex":[0.999917,0.00001715858,0.00000611643,0.00002027875,0.00002432144,0.00001517081],"domain_scores_gemma":[0.9996583,0.0001874134,0.00003722903,0.00002828639,0.00006484194,0.00002397135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003937215,0.0001421124,0.007339818,0.0008764202,0.0001287982,0.001906149,0.001723151,0.7399421,0.1101371,0.06129768,0.003005476,0.07310743],"study_design_scores_gemma":[0.000007265313,0.00005194531,0.004377656,0.00004576775,0.00001892777,0.0002172936,0.0001633881,0.9855573,0.003657887,0.003327456,0.002551017,0.00002414405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4579499,0.0009750117,0.5031792,0.0006037144,0.0001636975,0.0001855048,0.0003932628,0.0006855993,0.03586414],"genre_scores_gemma":[0.9841411,0.0002311486,0.00745727,0.00002335953,0.00001194486,0.00004062083,0.0000774896,0.0001011254,0.007915797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005547373,"threshold_uncertainty_score":0.01537502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0622206321146325,"score_gpt":0.2900473639920336,"score_spread":0.2278267318774011,"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."}}