{"id":"W1985582024","doi":"10.1519/jsc.0000000000000593","title":"Incorporating Sprint Training With Endurance Training Improves Anaerobic Capacity and 2,000-m Erg Performance in Trained Oarsmen","year":2014,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Sports Performance and Training","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Sprint; Anaerobic exercise; Time trial; Aerobic capacity; Interval training; Physical therapy; Medicine; Endurance training; Training (meteorology); Animal science; Physical medicine and rehabilitation; Heart rate; Internal medicine; Physics","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":[0.0003515669,0.0006211666,0.0005508523,0.0002007452,0.0003059819,0.0003011695,0.0002387371,0.0004306618,0.002169059],"category_scores_gemma":[0.0005592459,0.0003059294,0.0005560913,0.0001258417,0.0002470375,0.0002777019,0.0003506628,0.0003491394,0.0003988966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002245688,"about_ca_system_score_gemma":0.0002599695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004011364,"about_ca_topic_score_gemma":0.009503799,"domain_scores_codex":[0.9998519,0.00002703455,0.00001709423,0.00002726496,0.00002757741,0.00004920933],"domain_scores_gemma":[0.999858,0.00002046411,0.00002916403,0.0000141175,0.00001502466,0.00006311083],"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":[0.06387336,0.02752981,0.2031882,0.001071313,0.001181771,0.001167824,0.001737438,0.00274963,0.5484756,0.00008623186,0.0006524308,0.1482863],"study_design_scores_gemma":[0.0009560764,0.09362577,0.8889024,0.00006942102,0.000377579,0.0002501712,0.0007193502,0.0009344074,0.01303263,0.00004565389,0.001056942,0.00002966531],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999707,0.0001106292,0.00002959861,0.000008017177,0.000006169912,0.000006092147,0.00001523671,0.000003965386,0.0001132544],"genre_scores_gemma":[0.9984928,0.0001346384,0.0002083726,0.00001863498,0.00001138443,0.00001412455,0.00008980912,0.000002177446,0.001027885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004011364,"threshold_uncertainty_score":0.007976055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05381960052876219,"score_gpt":0.3029885996175314,"score_spread":0.2491689990887692,"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."}}