{"id":"W2538796217","doi":"10.1515/hukin-2016-0006","title":"The Influence of X-Factor (Trunk Rotation) and Experience on the Quality of the Badminton Forehand Smash","year":2016,"lang":"en","type":"article","venue":"Journal of Human Kinetics","topic":"Sports Dynamics and Biomechanics","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Trunk; Racket; Rotation (mathematics); Computer science; Motion capture; Torso; Range of motion; Physical medicine and rehabilitation; Motion analysis; Simulation; Motion (physics); Anatomy; Artificial intelligence; Physical therapy; Medicine; Physics; Swing; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002437451,0.00006743586,0.0001108103,0.00002400052,0.00005891954,0.00001560559,0.0002381006,0.00002988424,0.0000119169],"category_scores_gemma":[0.0001070263,0.00002511064,0.0000534975,0.00006248843,0.000124772,0.00004195712,0.00002745757,0.00008301689,1.398522e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002041808,"about_ca_system_score_gemma":0.000009585699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002426219,"about_ca_topic_score_gemma":0.00002814519,"domain_scores_codex":[0.9992222,0.00002169177,0.0003949134,0.00003899219,0.0002421292,0.00008004832],"domain_scores_gemma":[0.9991739,0.0001845663,0.0002987003,0.0001852451,0.0001327554,0.00002482286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00004660638,0.00004813828,0.01380526,0.000047351,0.00005447696,0.000001171304,0.0020324,0.001129872,0.9569276,0.01954497,0.00007503381,0.006287138],"study_design_scores_gemma":[0.0004761424,0.0003741797,0.8862229,0.0002765748,0.00002174995,0.0000115401,0.0004595503,0.0008548852,0.1044662,0.005885613,0.0008235416,0.0001271521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992666,0.00006997959,0.000209247,0.0002201343,0.0001252506,0.00006447264,0.000005384081,0.000002451169,0.00003649869],"genre_scores_gemma":[0.9997346,0.0001363677,0.00005231826,0.00001543835,0.00002973186,9.137788e-7,5.61201e-8,0.000006566717,0.00002394248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8724176,"threshold_uncertainty_score":0.1023982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719300175092893,"score_gpt":0.2600967104218768,"score_spread":0.2429037086709479,"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."}}