{"id":"W2560735209","doi":"10.1016/j.ptsp.2016.12.001","title":"Validation of an inertial measurement unit for the measurement of jump count and height","year":2016,"lang":"en","type":"article","venue":"Physical Therapy in Sport","topic":"Sports Performance and Training","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"International Olympic Committee","keywords":"Inertial measurement unit; Jump; Jumping; Mathematics; Step detection; Motion analysis; Accelerometer; Concurrent validity; Units of measurement; Motion capture; Motion (physics); Computer science; Simulation; Statistics; Medicine; Artificial intelligence; Computer vision; Physics","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":[0.0006945101,0.00008079881,0.0002272696,0.00003658277,0.00002019514,0.000001970476,0.00004789647,0.00002178405,0.00001210872],"category_scores_gemma":[0.000008584684,0.00003919988,0.00004987374,0.00007595398,0.00007099059,0.00007409981,0.000005056416,0.00003960347,3.402979e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003066205,"about_ca_system_score_gemma":0.00005913088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003615862,"about_ca_topic_score_gemma":0.00000773906,"domain_scores_codex":[0.9990649,0.000003678971,0.0002176659,0.0001149454,0.000493989,0.0001048328],"domain_scores_gemma":[0.9994333,0.00001506442,0.00009387521,0.0001748102,0.0002513031,0.00003167496],"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":[0.003773214,0.001329789,0.2247223,0.0001004392,0.0002330726,0.00000231179,0.002576375,0.00002678895,0.4620737,0.001008575,0.00002831184,0.3041252],"study_design_scores_gemma":[0.003959673,0.001043852,0.5218031,0.0001952152,0.00005664949,0.000001454037,0.0001385343,0.0003662251,0.4700739,0.0003678047,0.00191023,0.00008335969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990241,0.0001088504,0.00007150914,0.000237776,0.00004399136,0.0004127109,0.000002796153,0.000006571694,0.0000916938],"genre_scores_gemma":[0.9995481,0.0001284231,0.00004319362,0.00005678516,0.0001611723,0.00004265858,0.000003448625,0.000009819032,0.000006378096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3040418,"threshold_uncertainty_score":0.1598525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09120299131674825,"score_gpt":0.3200747866575873,"score_spread":0.2288717953408391,"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."}}