{"id":"W4206350263","doi":"10.52082/jssm.2022.82","title":"Physiological and Performance Correlates of Squash Physical Performance","year":2022,"lang":"en","type":"article","venue":"Journal of Sports Science and Medicine","topic":"Sports Performance and Training","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sheridan College","funders":"","keywords":"Sprint; Squash; Running economy; Mathematics; Animal science; Blood lactate; Statistics; Biology; Physical therapy; Medicine; VO2 max; Botany; Internal medicine","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":[0.001464144,0.0001090659,0.0004607244,0.0002886816,0.0002701787,0.000004087649,0.0001146729,0.0000204671,0.0000889512],"category_scores_gemma":[0.00005168022,0.00006747024,0.00003433895,0.0005171362,0.001189255,0.0002647846,0.00008498158,0.0003693564,2.356018e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476546,"about_ca_system_score_gemma":0.0002513871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002013808,"about_ca_topic_score_gemma":3.010792e-8,"domain_scores_codex":[0.9981161,0.000003745139,0.0004053951,0.0001613583,0.001094074,0.0002193551],"domain_scores_gemma":[0.9990305,0.00001843863,0.0003786338,0.0001135962,0.0002663117,0.0001925215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004309684,0.0001387906,0.9278031,0.0001242402,0.00001446771,0.00008109031,0.002691426,0.0000574134,0.01338833,0.00009944387,0.0001963577,0.05497438],"study_design_scores_gemma":[0.00130939,0.004788377,0.9843656,0.0003333376,0.00008846375,0.002193413,0.001973026,0.003217048,0.001137365,0.00004704605,0.000471704,0.00007517104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979753,0.0006193221,0.000001176417,0.0003890701,0.0002442524,0.00008525622,3.800303e-7,0.000005897633,0.0006793682],"genre_scores_gemma":[0.9978499,0.00143945,0.00007740952,0.000295001,0.00024827,0.000001791196,9.232039e-7,0.000005349913,0.00008188106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05656258,"threshold_uncertainty_score":0.4381858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02302718316523207,"score_gpt":0.2849419681495395,"score_spread":0.2619147849843075,"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."}}