{"id":"W1965354369","doi":"10.1249/mss.0b013e318206845d","title":"Remote Preconditioning Improves Maximal Performance in Highly Trained Athletes","year":2010,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":218,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Ischemic preconditioning; Ischemia; Blood lactate; Acidosis; Hypoxemia; Athletes; Cardiology; Crossover study; Blood pressure; Internal medicine; Anesthesia; Heart rate; Physical therapy; Placebo","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001899515,0.0002276727,0.0005606149,0.0006914693,0.0001556423,0.00001910498,0.0002306433,0.0001294759,0.0003298289],"category_scores_gemma":[0.0003454788,0.0001665109,0.00006977695,0.001291584,0.001138486,0.0004122634,0.00007593531,0.0006959634,0.0000111405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006762,"about_ca_system_score_gemma":0.0003680717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002121012,"about_ca_topic_score_gemma":0.0000452484,"domain_scores_codex":[0.9973249,0.000008547025,0.0005689007,0.0006141821,0.0008859306,0.0005975728],"domain_scores_gemma":[0.9989285,0.00004201059,0.0001297234,0.0005002664,0.000130692,0.000268826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001048138,0.00006886378,0.4654365,0.00007349093,2.22438e-7,0.0001591107,0.001724693,0.000007799852,0.3018857,0.000004403619,0.00008401561,0.2304504],"study_design_scores_gemma":[0.001597601,0.0001708678,0.9832324,0.001444354,0.00003040369,0.0001947999,0.0005059366,0.001757422,0.01013409,0.00006914809,0.0006629086,0.0002000251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872263,0.00007301034,0.000004553987,0.0009797005,0.001256695,0.0005693802,7.470838e-7,0.00006293591,0.009826686],"genre_scores_gemma":[0.9969975,0.0003072067,0.001094286,0.0001791256,0.0003404476,0.00001999845,0.00001402891,0.00001903962,0.0010284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.517796,"threshold_uncertainty_score":0.6790118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781010172689165,"score_gpt":0.2529851160811795,"score_spread":0.2451750143542878,"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."}}