{"id":"W3173813985","doi":"10.1096/fasebj.2018.32.1_supplement.903.3","title":"Effects of Prior Heavy Exercise in Heart Failure with Preserved Ejection Fraction on VO <sub>2</sub> Kinetics","year":2018,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Cardiology; Internal medicine; Heart failure; Kinetics; Heart rate; CTL*; Heart failure with preserved ejection fraction; Ejection fraction; Intensity (physics); Chemistry; Medicine; Blood pressure; Biochemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003593925,0.0002835106,0.0002779666,0.0001642401,0.0001744089,0.0002014168,0.00007829008,0.000289583,0.001047056],"category_scores_gemma":[0.00108313,0.0001614611,0.0001867617,0.00005936572,0.000188829,0.0001621585,0.0002497151,0.0002552908,0.000110471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601498,"about_ca_system_score_gemma":0.00008330239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008529595,"about_ca_topic_score_gemma":0.001313142,"domain_scores_codex":[0.9999071,0.000028187,0.000007906751,0.00001923516,0.000008496881,0.00002907778],"domain_scores_gemma":[0.9993423,0.0002337645,0.000140358,0.00005923583,0.00002389198,0.0002004693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03330383,0.001311077,0.8435814,0.00008305169,0.0001844898,0.001017058,0.0002386824,0.0008815108,0.08967843,0.0000380031,0.0001477724,0.02953483],"study_design_scores_gemma":[0.00003012212,0.002152657,0.9960946,0.000003366275,0.00002238044,0.0001862977,0.00003619573,0.0003449762,0.001074085,0.00001175958,0.0000411332,0.000002306671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998368,0.00004379751,0.00003408752,0.000004730221,0.000001379305,0.00000270977,0.00001019957,0.000001465508,0.0000646971],"genre_scores_gemma":[0.999806,0.00001739209,0.00005411508,0.00001092125,0.000003430802,0.000004215091,0.00003701392,0.000001045658,0.00006579223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001047056,"threshold_uncertainty_score":0.003502727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007584180545285795,"score_gpt":0.231086915717986,"score_spread":0.2235027351727002,"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."}}