{"id":"W3177187290","doi":"10.1096/fasebj.2018.32.1_supplement.589.1","title":"Influences of a Cold and Warm Environment on Substrate Metabolism in Women during Running and Cycling","year":2018,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Cardiorespiratory fitness; Cycling; VO2 max; Animal science; Chemistry; Treadmill; Crossover study; Exercise intensity; Cycle ergometer; Incremental exercise; Exercise physiology; Lipid oxidation; Time trial; Aerobic exercise; Internal medicine; Medicine; Heart rate; Biochemistry; Biology; Blood pressure","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":[0.0002393993,0.0003608808,0.0004625193,0.0002464948,0.0003105883,0.0004075659,0.0001009447,0.0003310601,0.0008917837],"category_scores_gemma":[0.00123124,0.0002240837,0.0002188941,0.0002116176,0.0003282536,0.000149346,0.0002855038,0.0001781352,0.0001524736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001372858,"about_ca_system_score_gemma":0.0001411501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002668705,"about_ca_topic_score_gemma":0.004807721,"domain_scores_codex":[0.999818,0.00005954639,0.00001181634,0.00004422563,0.00002150819,0.00004501386],"domain_scores_gemma":[0.9997506,0.00006932455,0.00006373493,0.0000165218,0.00002057574,0.00007922143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006157575,0.000220921,0.9490794,0.00009626488,0.0002015668,0.0006721984,0.001853824,0.0002131138,0.02755536,0.00003609313,0.0001693995,0.01374445],"study_design_scores_gemma":[0.00001110278,0.0004413479,0.9987224,0.0000045682,0.00003025217,0.0001328457,0.000260358,0.00005148223,0.0002181749,0.00001901871,0.000103812,0.000004599509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993,0.000258294,0.0000671165,0.00001877586,0.000007298024,0.000008336649,0.00006495099,0.000002238201,0.000272937],"genre_scores_gemma":[0.9995447,0.00008354072,0.00007210532,0.0000326312,0.000009570781,0.00001372441,0.00005877229,0.000002371253,0.0001826469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002668705,"threshold_uncertainty_score":0.005306304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00827166786858728,"score_gpt":0.2192480381652938,"score_spread":0.2109763702967066,"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."}}