{"id":"W4399891843","doi":"10.3390/app14125340","title":"Heart Rate Dynamics and Quantifying Physical Fatigue in Canadian Football","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Sports Performance and Training","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital du Sacré-Cœur de Montréal; University of Waterloo","funders":"","keywords":"Football; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003100162,0.0004793566,0.0002879229,0.001503506,0.000629551,0.0006353214,0.0004868894,0.0002923944,0.001091545],"category_scores_gemma":[0.00112237,0.0001528855,0.000150603,0.001512744,0.0002106887,0.0001497935,0.0003482327,0.0002078859,0.0001532244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002238408,"about_ca_system_score_gemma":0.002069837,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8575576,"about_ca_topic_score_gemma":0.9088924,"domain_scores_codex":[0.9996532,0.00001750975,0.00001019297,0.00007018389,0.0001877305,0.00006109964],"domain_scores_gemma":[0.9997522,0.00002229506,0.00004636208,0.00000800159,0.0001408688,0.00003025375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006022008,0.0001193915,0.7944054,0.0003543996,0.0001887278,0.0003058194,0.001707767,0.006877211,0.04889184,0.0003978458,0.002708715,0.1434407],"study_design_scores_gemma":[0.000002828094,0.00002493086,0.9960701,0.000008461491,0.000011548,0.00003636403,0.0001904013,0.002577567,0.0005540407,0.00001744173,0.0004959074,0.00001038227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927347,0.0004102383,0.002229381,0.00005158772,0.00001096133,0.00004202392,0.001812549,0.00004580804,0.002662764],"genre_scores_gemma":[0.9955248,0.0002501827,0.00210327,0.00002265447,0.00000662607,0.00002347184,0.001113346,0.000007699537,0.0009480171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1424424,"threshold_uncertainty_score":0.2865625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641350424323026,"score_gpt":0.3456002178583979,"score_spread":0.2814651754260953,"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."}}