{"id":"W7025092439","doi":"","title":"Utilisation du préconditionnement ischémique pour optimiser la performance aérobie chez l'athlète","year":2021,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université Laval","keywords":"Exercise tolerance test; Muscle strength; Quantitative methodology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004510208,0.0005112815,0.0005385425,0.0003193741,0.0002574901,0.0006959451,0.0002456171,0.0004215513,0.002477842],"category_scores_gemma":[0.000526958,0.0002018692,0.0004025414,0.0002166895,0.0003716725,0.0004867038,0.000439607,0.0006028314,0.000594661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002389877,"about_ca_system_score_gemma":0.0007448508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001140454,"about_ca_topic_score_gemma":0.00216099,"domain_scores_codex":[0.9998426,0.00002628561,0.00001161636,0.00005457179,0.00004137804,0.00002359672],"domain_scores_gemma":[0.9997908,0.00007375573,0.0000402219,0.00002223375,0.00004304613,0.00003000336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006982407,0.0001490574,0.00169489,0.0006483193,0.00005524163,0.0001026759,0.000109616,0.01013731,0.9004411,0.001022448,0.0003423491,0.08459872],"study_design_scores_gemma":[0.0002180472,0.01090901,0.03025074,0.000361247,0.0004286219,0.0007014064,0.0002930611,0.05001932,0.859612,0.002538656,0.04450915,0.0001587414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7166041,0.02382338,0.2463625,0.0008719748,0.000444245,0.0002712623,0.0003314589,0.0008272107,0.01046387],"genre_scores_gemma":[0.9006164,0.01360828,0.07659974,0.0002754262,0.0001184753,0.0002347495,0.0002797051,0.0001538192,0.008113308],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.002477842,"threshold_uncertainty_score":0.008289278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839657923562304,"score_gpt":0.1679283278418849,"score_spread":0.1595317486062618,"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."}}