{"id":"W2010884876","doi":"10.1139/h09-103","title":"The effect of prior heavy exercise on the parameters of the power-duration curve for cycle ergometry","year":2009,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Sports Performance and Training","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cycling; Cycle ergometer; Lactate threshold; Animal science; Blood lactate; VO2 max; Intensity (physics); Physical exercise; Wingate test; Work rate; Chemistry; Mathematics; Internal medicine; Heart rate; Anaerobic exercise; Medicine; Physical therapy; Physics; Biology; Blood pressure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003062088,0.0001031263,0.0002859592,0.00004017314,0.0001740128,0.000004488725,0.0000737931,0.00006810492,0.000003966595],"category_scores_gemma":[0.00003029202,0.00004557167,0.0001098593,0.0001432398,0.0001751157,0.00002346031,0.000009872208,0.0001213691,9.291297e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004033338,"about_ca_system_score_gemma":0.00001204648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000166498,"about_ca_topic_score_gemma":2.389023e-7,"domain_scores_codex":[0.9993905,0.00002260682,0.0002190879,0.0001304567,0.0001012238,0.0001360659],"domain_scores_gemma":[0.9993028,0.0002423133,0.0001546408,0.0002404482,0.0000351303,0.00002465973],"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":[0.01261634,0.0008839134,0.001252594,0.0005126294,0.0003218047,5.731313e-7,0.001800776,0.00003345445,0.7009469,0.05952367,0.002162024,0.2199454],"study_design_scores_gemma":[0.005043989,0.0003972621,0.6069632,0.0001433558,0.0002356341,0.000003197136,0.0003300814,0.00009200162,0.3771869,0.004126901,0.005386681,0.00009075906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966618,0.0008766446,0.000008130456,0.0009472982,0.0001239342,0.001172157,0.000006197675,0.00001035698,0.0001935068],"genre_scores_gemma":[0.9985348,0.0005800861,0.00008798142,0.0005539797,0.000059684,0.000151628,0.00001351591,0.000006375694,0.00001194337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6057106,"threshold_uncertainty_score":0.1858359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009183650729747262,"score_gpt":0.2562546917354959,"score_spread":0.2470710410057487,"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."}}