{"id":"W2325131351","doi":"10.1123/ijspp.2014-0603","title":"Pacing Strategy, Muscle Fatigue, and Technique in 1500-m Speed-Skating and Cycling Time Trials","year":2015,"lang":"en","type":"article","venue":"International Journal of Sports Physiology and Performance","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Time trial; Blood lactate; Speed skating; Trunk; Medicine; Muscle fatigue; Physical medicine and rehabilitation; Cycling; Athletes; Physical therapy; Cardiology; Internal medicine; Electromyography; Simulation; Heart rate; Blood pressure; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006026474,0.00008349457,0.0002284321,0.0001767609,0.00002677055,0.00001724542,0.000047034,0.00004557386,0.000009351108],"category_scores_gemma":[0.0000415658,0.0000702609,0.00002103237,0.00005568477,0.00004595628,0.0002456004,0.0000185052,0.000164093,9.900598e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001475289,"about_ca_system_score_gemma":0.00001251862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003903822,"about_ca_topic_score_gemma":8.468277e-7,"domain_scores_codex":[0.9993702,0.00001882664,0.000348568,0.00006978602,0.0001007997,0.00009186387],"domain_scores_gemma":[0.999637,0.00006449616,0.0001465881,0.00002753502,0.00008240382,0.00004198371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004402662,0.0000622961,0.1952722,0.0001534039,0.0003541833,0.00005447775,0.002631856,0.01345554,0.2781478,0.0002121973,0.0003843575,0.5088314],"study_design_scores_gemma":[0.0009973214,0.0001612445,0.9779994,0.0003049428,0.0000142604,0.0001846921,0.0002825188,0.009415234,0.008822701,0.001444331,0.0001989319,0.0001743615],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985204,0.0005785396,0.0001020822,0.00005032444,0.0001295013,0.0000524166,0.000001187577,0.00001172746,0.0005537804],"genre_scores_gemma":[0.9980742,0.001431767,0.0003167508,0.00002735944,0.0001339289,0.00000166141,0.000001685429,0.000005477908,0.000007134035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7827272,"threshold_uncertainty_score":0.2865156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0330349797542188,"score_gpt":0.2834877018942879,"score_spread":0.2504527221400691,"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."}}