{"id":"W2088366363","doi":"10.1519/jsc.0000000000000388","title":"Proximal-to-Distal Sequencing in Vertical Jumping With and Without Arm Swing","year":2014,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Sports Performance and Training","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Jumping; Swing; Kinematics; Jump; Concentric; Ankle; Physical medicine and rehabilitation; Mathematics; Vertical jump; Eccentric; Control theory (sociology); Simulation; Physics; Anatomy; Computer science; Medicine; Geometry; Artificial intelligence","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":[0.0002192915,0.0002126573,0.0001533901,0.0003794652,0.00009589123,0.0002264674,0.00008512793,0.0002143864,0.001234529],"category_scores_gemma":[0.001361823,0.0001405956,0.0001108058,0.0001765966,0.0001340867,0.0001377258,0.0002558032,0.000125496,0.0001607813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063214,"about_ca_system_score_gemma":0.0001124527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680048,"about_ca_topic_score_gemma":0.003343874,"domain_scores_codex":[0.9998785,0.00001730021,0.00001256858,0.00003285033,0.00002802208,0.00003078777],"domain_scores_gemma":[0.9996132,0.000101596,0.0001525819,0.00001600847,0.00003507687,0.00008159802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002516046,0.000330371,0.7397586,0.0001169023,0.000151392,0.0005646117,0.0004291509,0.0005725191,0.2213112,0.00008789844,0.00007311442,0.03408831],"study_design_scores_gemma":[0.00000652433,0.0003644746,0.9981456,0.000004376399,0.00000980503,0.0001581651,0.00005512997,0.0002671879,0.000927649,0.00002166651,0.00003734933,0.000002127428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996459,0.00005423289,0.0001540072,0.000003528454,9.76285e-7,0.000002932263,0.0000187777,0.000001631113,0.000118005],"genre_scores_gemma":[0.9994345,0.00004000031,0.0001507205,0.000004759652,0.000001452499,0.000005411435,0.00005825914,0.000001409021,0.0003034623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680048,"threshold_uncertainty_score":0.004129946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04355697688552888,"score_gpt":0.3484292833525015,"score_spread":0.3048723064669726,"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."}}