{"id":"W2900588339","doi":"10.1139/apnm-2018-0596","title":"Higher energy and carbohydrate demand of interval training at a given average velocity on track versus treadmill","year":2018,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Sports Performance and Training","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Else Kröner-Fresenius-Stiftung","keywords":"Treadmill; Track (disk drive); Interval (graph theory); Interval training; Fast track; Acceleration; Track and field athletics; Energy demand; Training (meteorology); Carbohydrate; Simulation; Mathematics; Medicine; Physical therapy; Computer science; Internal medicine; Physics; Surgery; Meteorology; Athletes","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002503497,0.0002379813,0.000371001,0.0002930296,0.0001717683,0.0002771063,0.0001252287,0.0002544459,0.002999867],"category_scores_gemma":[0.0004662513,0.0001425775,0.0001359064,0.0002039366,0.0001310433,0.0002084074,0.0002133504,0.0002360217,0.0001929681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008196816,"about_ca_system_score_gemma":0.00008820521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001065826,"about_ca_topic_score_gemma":0.0009173195,"domain_scores_codex":[0.999886,0.00002638382,0.000006708714,0.00002950891,0.0000155654,0.00003581533],"domain_scores_gemma":[0.9996843,0.00009516127,0.00005111085,0.00002519203,0.00002863165,0.0001155581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.04705898,0.005254387,0.2378736,0.0003651868,0.0004162653,0.0003823025,0.0006042945,0.001399755,0.6534528,0.0002240688,0.0001881639,0.05278011],"study_design_scores_gemma":[0.000140348,0.009968942,0.9786033,0.00001179944,0.0000786833,0.0001241179,0.0001844045,0.0009639488,0.009590938,0.00008980706,0.0002335796,0.00001019371],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997064,0.00004282593,0.00008798422,0.000003244975,0.000002875568,0.000002738483,0.00002184929,0.000001261006,0.0001306864],"genre_scores_gemma":[0.9991385,0.00004742859,0.0002011925,0.0000100199,0.00001136699,0.00001079677,0.00011674,0.000003097653,0.0004609747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002999867,"threshold_uncertainty_score":0.01003557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870872330993914,"score_gpt":0.264403395381772,"score_spread":0.2356946720718328,"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."}}