{"id":"W2927279646","doi":"10.1007/s00421-019-04133-6","title":"Impact of 8 weeks of repeated ischemic preconditioning on running performance","year":2019,"lang":"en","type":"article","venue":"European Journal of Applied Physiology","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Mitacs; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Running economy; Human physiology; VO2 max; Time trial; Repeated measures design; Medicine; Endurance training; Physical therapy; Animal science; Mathematics; Internal medicine; Heart rate; Statistics; Blood pressure; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003357066,0.0001179347,0.0005049818,0.0001299595,0.00001995356,0.000001704079,0.0000923496,0.0000397639,0.000224575],"category_scores_gemma":[0.00001577256,0.00008158535,0.0002805664,0.0001059402,0.0000646187,0.00003352443,0.00003780208,0.0003434092,0.00003786312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000303782,"about_ca_system_score_gemma":0.00006960674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.20013e-7,"about_ca_topic_score_gemma":4.137517e-9,"domain_scores_codex":[0.9990419,0.00004130981,0.0005093236,0.0001246037,0.0001450772,0.0001377679],"domain_scores_gemma":[0.9988543,0.00004591763,0.0006757767,0.0002191888,0.0001411796,0.00006358814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003270363,0.00008257911,0.00332239,0.00008905736,0.0001714219,0.000005730876,0.000327455,0.001540115,0.9890063,0.000009028564,0.0005975673,0.001578037],"study_design_scores_gemma":[0.002196692,0.002143461,0.3907757,0.0003964605,0.0000667895,0.0001251691,0.00007848013,0.00005373506,0.6039394,0.000003592766,0.0001445818,0.00007597794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9273839,0.000037583,0.000003366663,0.000009193807,0.0001174317,0.0000961323,0.000001892118,0.000006110766,0.07234439],"genre_scores_gemma":[0.9993818,0.00004582618,0.000191004,0.00002945661,0.0001909071,2.910698e-7,0.00001249374,0.00002324653,0.0001249406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3874533,"threshold_uncertainty_score":0.3326954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007398719273344888,"score_gpt":0.2406526487499717,"score_spread":0.2332539294766268,"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."}}