{"id":"W2018468536","doi":"10.1139/h02-028","title":"Variability in Estimating Eccentric Contraction-Induced Muscle Damage and Inflammation in Humans","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Applied Physiology","topic":"Exercise and Physiological Responses","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Eccentric; Biopsy; Contraction (grammar); Muscle biopsy; Muscle damage; Anatomy; Analysis of variance; Muscle contraction; Medicine; Pathology; Internal medicine; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00202635,0.0004405494,0.0005661867,0.000545973,0.000188402,0.0004688719,0.0002934285,0.0006796696,0.0004622701],"category_scores_gemma":[0.006978974,0.0002055706,0.0001502939,0.0003739147,0.0003226069,0.0002475069,0.0003626214,0.0002151828,0.0002478597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000944673,"about_ca_system_score_gemma":0.0000853846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007895544,"about_ca_topic_score_gemma":0.0009725133,"domain_scores_codex":[0.9983851,0.0006802951,0.00009963199,0.0004500987,0.0003200504,0.00006491263],"domain_scores_gemma":[0.9974614,0.001284212,0.0005636758,0.0003018954,0.0002701253,0.0001186983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002152087,0.0002973795,0.9144838,0.0001966323,0.000426583,0.0005419333,0.0008845421,0.002764665,0.04155015,0.0001484421,0.0004101853,0.03614353],"study_design_scores_gemma":[0.00002363956,0.001047693,0.9904322,0.00001107787,0.00006922723,0.001256582,0.0001398937,0.003498035,0.002851872,0.0001828314,0.0004677465,0.00001916856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920976,0.0006425236,0.006575196,0.00001815073,0.00001308387,0.00004326483,0.0001594188,0.00003357558,0.0004171176],"genre_scores_gemma":[0.9974688,0.00009742619,0.001841248,0.00002543347,0.00001608361,0.00003707444,0.0002942179,0.00000825715,0.000211556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00202635,"threshold_uncertainty_score":0.0107165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252791243975055,"score_gpt":0.2574941340156363,"score_spread":0.2349662215758857,"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."}}