{"id":"W2979948925","doi":"10.14198/jhse.2020.153.12","title":"Comparison of two methods in the estimation of vertical jump height","year":2019,"lang":"en","type":"article","venue":"Journal of Human Sport and Exercise","topic":"Sports Performance and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Inertial measurement unit; Jump; Accelerometer; Gyroscope; Geodesy; Step detection; Mathematics; Vertical jump; Computer science; Geology; Physics; Global Positioning System; Artificial intelligence; Telecommunications","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":[0.009233972,0.001041978,0.0009373678,0.004104497,0.0004119431,0.001878908,0.0009632541,0.00148013,0.00126328],"category_scores_gemma":[0.03139503,0.0005630053,0.0007817981,0.002050411,0.0004746314,0.001342814,0.001370038,0.0006627034,0.0006371053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005277877,"about_ca_system_score_gemma":0.0004996458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003340344,"about_ca_topic_score_gemma":0.005675958,"domain_scores_codex":[0.9866015,0.005853843,0.0009418989,0.001672722,0.004582779,0.0003472315],"domain_scores_gemma":[0.9740573,0.01762632,0.001771371,0.001217815,0.005036195,0.0002909692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01290252,0.000713986,0.2660652,0.002347553,0.002821498,0.0002719207,0.002033073,0.007113229,0.04404778,0.001799759,0.001573472,0.65831],"study_design_scores_gemma":[0.0008636227,0.006648756,0.8477669,0.0006520987,0.001846917,0.002129848,0.001840475,0.09752085,0.03198197,0.002180346,0.006097425,0.0004708726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6906343,0.0186462,0.2763568,0.0003307408,0.001323232,0.0009338337,0.001414122,0.001322624,0.009038274],"genre_scores_gemma":[0.8291107,0.003461,0.1631284,0.0001712983,0.0002380259,0.0006811533,0.0008196656,0.0002470456,0.002142761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009233972,"threshold_uncertainty_score":0.04883444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04627607793096506,"score_gpt":0.4309508472396847,"score_spread":0.3846747693087196,"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."}}