{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146828,0.0003930962,0.0002517721,0.0005867019,0.0002032969,0.000506127,0.0001621682,0.0003798257,0.002367265],"category_scores_gemma":[0.002181172,0.0001916495,0.0001528183,0.0004016031,0.0003124993,0.0002378121,0.0003991817,0.0003459705,0.0005360615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001115505,"about_ca_system_score_gemma":0.0001007357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153499,"about_ca_topic_score_gemma":0.002244262,"domain_scores_codex":[0.999681,0.00005731078,0.00003514193,0.00006521806,0.00008851074,0.0000727855],"domain_scores_gemma":[0.9986971,0.0002381494,0.0004550645,0.0000738965,0.0002486481,0.0002871934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004080809,0.0001321459,0.9823043,0.00004743331,0.00007239203,0.0002777093,0.0002693854,0.0001815276,0.01045389,0.00004146216,0.00009429589,0.005717434],"study_design_scores_gemma":[0.000001206116,0.0001807472,0.9993631,0.000002314574,0.00000413815,0.0001333147,0.00005733421,0.00006723432,0.0001305764,0.000008714765,0.00004938414,0.000001852901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998337,0.00009444413,0.0001755698,0.0000129824,0.000004469608,0.000008802182,0.0001723899,0.000005605743,0.001188563],"genre_scores_gemma":[0.9992254,0.00004548076,0.0000880367,0.000009586383,0.00001075294,0.000006664312,0.0002452414,0.000002043193,0.0003668343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002367265,"threshold_uncertainty_score":0.007919252,"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."}}