{"id":"W6898761560","doi":"10.57745/eo2sbc","title":"Data from the paper entitled 'Glycaemic effects of a 156-km ultra-trail race in athletes: an observational field study'","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Clinical Research Institute","funders":"","keywords":"Athletes; Race (biology); Heart rate; Alertness; Aerobic exercise; Logistic regression; Physiological stress; Sprint","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":[0.002541337,0.0004750329,0.0007465442,0.001880273,0.0007992632,0.001430328,0.0007396985,0.001542891,0.03501041],"category_scores_gemma":[0.02065093,0.0002212178,0.0007271549,0.002842099,0.0004175539,0.0005130625,0.001084008,0.0005943802,0.009146283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376514,"about_ca_system_score_gemma":0.001870678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004541229,"about_ca_topic_score_gemma":0.00489501,"domain_scores_codex":[0.9979082,0.0004974646,0.0007119227,0.0002865941,0.0004442985,0.0001514297],"domain_scores_gemma":[0.9783663,0.01038419,0.002831338,0.002556827,0.004779644,0.00108181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01415966,0.001525247,0.2235023,0.008195858,0.001087791,0.003572596,0.003006801,0.0004400333,0.002727073,0.001179952,0.5899795,0.1506231],"study_design_scores_gemma":[0.0008757338,0.002271652,0.3673738,0.002397403,0.0005200549,0.002063978,0.001074208,0.0002060333,0.001494751,0.0007662128,0.6208483,0.0001078657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2758255,0.009875441,0.007060541,0.01022495,0.01739095,0.004432083,0.6332561,0.0005700225,0.04136461],"genre_scores_gemma":[0.3914344,0.01256971,0.009680275,0.01794173,0.00828567,0.007160249,0.4676186,0.0005091178,0.08480024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03501041,"threshold_uncertainty_score":0.1171215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3830777575026572,"score_gpt":0.4392921258354309,"score_spread":0.05621436833277371,"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."}}