{"id":"W4225321605","doi":"10.1096/fasebj.2022.36.s1.r5592","title":"Menstrual Cycle Modulates the Contribution of Dry Heat Loss to Total Heat Loss During Exercise in Warm‐Dry Conditions in Young, Recreationally Active Females: Preliminary Findings","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Thermoregulation and physiological responses","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dry heat; Menstrual cycle; Medicine; Animal science; Physical therapy; Endocrinology; Biology; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001184501,0.0001149858,0.0001117097,0.0001095075,0.0001264131,0.0001953006,0.00006701698,0.00009057366,0.001067282],"category_scores_gemma":[0.0003001879,0.00009173311,0.00008769822,0.00005526871,0.0001695205,0.00008319323,0.0001363881,0.0001307897,0.00009408899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005993529,"about_ca_system_score_gemma":0.00006340654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006345602,"about_ca_topic_score_gemma":0.001709419,"domain_scores_codex":[0.9999644,0.000009754219,0.000002673762,0.00000799453,0.000006534536,0.000008734465],"domain_scores_gemma":[0.999868,0.00003113759,0.00004391741,0.000007614094,0.00001060531,0.00003878068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007769349,0.0009612424,0.7457715,0.0001027721,0.00007124308,0.0003254503,0.00137188,0.0001698823,0.222945,0.0000591556,0.0001389227,0.02031369],"study_design_scores_gemma":[0.0000133773,0.0008319087,0.9975374,0.000001743689,0.000009275091,0.00006047392,0.000126098,0.00008812886,0.001233994,0.000008114542,0.00008771716,0.000001725693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998486,0.00003489885,0.00003095437,0.000003213076,7.542624e-7,0.000004312848,0.00001928267,4.164281e-7,0.00005765174],"genre_scores_gemma":[0.9995359,0.00004406452,0.00009266349,0.000009834253,0.000003493966,0.00001107189,0.0000386525,0.000001044917,0.000263385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001067282,"threshold_uncertainty_score":0.003570437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01517559915209788,"score_gpt":0.2804765450577711,"score_spread":0.2653009459056733,"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."}}