{"id":"W3013940171","doi":"10.1177/1747954120915670","title":"Does the presence of an opponent affect object projection accuracy in elite athletes? A study of the landing location of the short serve in elite badminton players","year":2020,"lang":"en","type":"article","venue":"International Journal of Sports Science & Coaching","topic":"Sports Performance and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Australian Institute of Sport; Edith Cowan University","keywords":"Adversary; Elite; Object (grammar); Elite athletes; Point (geometry); Athletes; Match play; Computer science; Trajectory; Artificial intelligence; Aeronautics; Simulation; Computer security; Engineering; Mathematics; Political science","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":[0.0008293485,0.000439208,0.0004148525,0.0004310043,0.0003806701,0.00111886,0.0002979866,0.0006916233,0.002101551],"category_scores_gemma":[0.004395585,0.0003356858,0.0002917022,0.0002503815,0.0004188574,0.0004314853,0.0005767997,0.0004124748,0.0005326007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003801849,"about_ca_system_score_gemma":0.0002373454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290597,"about_ca_topic_score_gemma":0.01537734,"domain_scores_codex":[0.9996723,0.00009134884,0.00002496962,0.00007595435,0.00005874107,0.00007661463],"domain_scores_gemma":[0.9982584,0.000769,0.0004682592,0.00008639831,0.0001543441,0.000263579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001052386,0.0003069471,0.9900212,0.00002706861,0.00007148782,0.0002181456,0.0008125418,0.0008274811,0.003175348,0.00004480737,0.00004362122,0.003398927],"study_design_scores_gemma":[0.00001201729,0.0007606955,0.9950593,0.00001135369,0.0000306473,0.00009737955,0.0008500966,0.002717199,0.0003185635,0.00003955494,0.00009651123,0.000006742361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999693,0.00001151537,0.00008980712,0.000007627397,0.000001012808,0.000002733937,0.00001503828,9.367531e-7,0.0001783509],"genre_scores_gemma":[0.9993937,0.00002192564,0.0001253996,0.000006904514,0.000001626007,0.000004614551,0.00005283961,0.000001696443,0.0003912429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01290597,"threshold_uncertainty_score":0.02566165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03352898328041414,"score_gpt":0.3376834650525675,"score_spread":0.3041544817721533,"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."}}