{"id":"W4402661714","doi":"10.1249/01.mss.0001057724.45919.f9","title":"Vertical Takeoff Acceleration As A Predictor Of Single Leg Jump Performance","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Takeoff; Acceleration; Jump; Vertical jump; Environmental science; Mechanics; Aeronautics; Aerospace engineering; Engineering; Physics; Classical mechanics","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":[0.001019432,0.0001619058,0.0003211903,0.0004518512,0.00005956326,0.0000552516,0.0002465955,0.00005478456,0.0002091589],"category_scores_gemma":[0.0001511798,0.0001286159,0.00002895415,0.00117522,0.0004252573,0.0006646532,0.00002715246,0.0002305756,0.00003280343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704261,"about_ca_system_score_gemma":0.0001121468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004166874,"about_ca_topic_score_gemma":0.000007035226,"domain_scores_codex":[0.9980494,0.00001385597,0.0004836565,0.0003090774,0.0007891757,0.0003548488],"domain_scores_gemma":[0.9994764,0.0000484671,0.00002583621,0.0002461325,0.00009143227,0.0001116839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000954784,0.0001535919,0.53685,0.001368295,0.000003910895,0.000399874,0.0312097,0.03118669,0.2245069,0.0002529141,0.002581056,0.1713916],"study_design_scores_gemma":[0.0005070649,0.0002999563,0.5179403,0.003610642,0.00003243434,0.00003842691,0.0003910165,0.4703576,0.002598735,0.00006117124,0.003899644,0.0002630841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918866,0.0004275132,0.0004834942,0.0001618256,0.001704794,0.0002969219,7.403922e-7,0.0002048823,0.004833239],"genre_scores_gemma":[0.9992454,0.00005389153,0.00006156696,0.00002207848,0.0002228139,0.00003304133,0.000003280071,0.00002080645,0.0003371394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4391709,"threshold_uncertainty_score":0.5244804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251011578960787,"score_gpt":0.2476192343515216,"score_spread":0.2351091185619138,"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."}}