{"id":"W4243962396","doi":"10.1249/01.mss.0000273823.80848.1f","title":"Effects of Tapering on Performance","year":2007,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Sports Performance and Training","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Tapering; Athletes; Mathematics; Medicine; Duration (music); Volume (thermodynamics); Intensity (physics); Statistics; Physical therapy; Computer science; 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":[0.01906509,0.002198313,0.006477999,0.002675255,0.0004343041,0.002761027,0.00167903,0.001962192,0.002850103],"category_scores_gemma":[0.03552059,0.0008349506,0.02446595,0.002274782,0.0008521659,0.001421267,0.001172001,0.001826027,0.0002601919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076325,"about_ca_system_score_gemma":0.001565863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344428,"about_ca_topic_score_gemma":0.003020732,"domain_scores_codex":[0.9825973,0.009433778,0.003817167,0.001824131,0.00201255,0.000315074],"domain_scores_gemma":[0.9714625,0.02160857,0.00482002,0.001009719,0.0008391658,0.0002599902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.03109988,0.0004305576,0.02185565,0.1593267,0.6839274,0.0001867427,0.0002262187,0.002190697,0.00227627,0.0003790589,0.0005793049,0.09752151],"study_design_scores_gemma":[0.003626503,0.007361229,0.03578159,0.01739874,0.9289613,0.0002745613,0.0001112356,0.001030193,0.001661251,0.0007605072,0.002972829,0.00006002258],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05835719,0.9351364,0.003152345,0.0004920571,0.0005257286,0.0006805013,0.0004796734,0.00008967955,0.001086487],"genre_scores_gemma":[0.7667184,0.2206416,0.008130917,0.001128798,0.0005725421,0.001292021,0.0005696659,0.00005320153,0.0008929013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01906509,"threshold_uncertainty_score":0.1008271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223276894099095,"score_gpt":0.2836886124636664,"score_spread":0.2714558435226754,"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."}}