{"id":"W4409793580","doi":"10.61091/jcmcc127a-167","title":"Using data mining techniques to optimise athlete training and recovery programmes in tertiary physical education","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Sports Performance and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physical education; Training (meteorology); Medical education; Computer science; Data science; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266668,0.0002111289,0.0007020184,0.0004496534,0.0001294314,0.0001299892,0.0002021785,0.0001073267,6.991373e-7],"category_scores_gemma":[0.0003193285,0.0001921278,0.00006531219,0.0003780107,0.0000542053,0.000295959,0.0002699575,0.000374804,1.188739e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008556884,"about_ca_system_score_gemma":0.0005399815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001221816,"about_ca_topic_score_gemma":4.113934e-7,"domain_scores_codex":[0.9983729,0.00002420403,0.0007858662,0.0002510376,0.0002979334,0.0002681144],"domain_scores_gemma":[0.9987777,0.0001950818,0.0003993346,0.0002646851,0.0002129898,0.0001501927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001064092,0.004173636,0.04619293,0.00236214,0.0005222195,0.0001842396,0.02696954,0.00006563404,0.005208089,0.08666803,0.000419361,0.8261701],"study_design_scores_gemma":[0.04013532,0.0108251,0.03044438,0.07240769,0.003498762,0.003380659,0.0522164,0.2347069,0.0112852,0.5287117,0.008877601,0.003510304],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949881,0.0002780341,0.0007702425,0.0002201724,0.00284534,0.0004030487,7.514344e-7,0.00002635442,0.0004678874],"genre_scores_gemma":[0.9429996,0.0000321189,0.0558671,0.0001175883,0.0009517478,0.000002849216,0.000003212016,0.00002124802,0.000004525428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8226598,"threshold_uncertainty_score":0.7834743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109568617622374,"score_gpt":0.3449808648654249,"score_spread":0.3038851786892012,"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."}}