{"id":"W2081096764","doi":"10.1249/01.mss.0000322713.56325.09","title":"L-arginine Supplementation Increases Muscle Blood Volume During Recovery After Sets Of Resistance Exercise","year":2008,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Arginine; Medicine; Biceps; Placebo; Nitric oxide; Vasodilation; Internal medicine; Cardiology; Anesthesia; Physical therapy; Endocrinology; Surgery; Biochemistry; Chemistry; Amino acid; Pathology","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":[0.0001874561,0.000481691,0.000621415,0.0001197256,0.0001220843,0.0002006578,0.0002653866,0.0003050707,0.001258005],"category_scores_gemma":[0.0004442209,0.0001490319,0.0002065593,0.00008645858,0.0002157395,0.000196328,0.0002181387,0.0005099506,0.0001912447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021308,"about_ca_system_score_gemma":0.0001258664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003899619,"about_ca_topic_score_gemma":0.000484283,"domain_scores_codex":[0.999867,0.00003412227,0.00001202541,0.0000326185,0.00001861718,0.00003568502],"domain_scores_gemma":[0.9997056,0.00006099781,0.0001048328,0.00002196325,0.00002076597,0.00008574828],"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":[0.09783165,0.006852233,0.003331026,0.0004669117,0.0001969739,0.0001019918,0.0001759163,0.0002208973,0.8625069,0.00001547449,0.0002262192,0.02807379],"study_design_scores_gemma":[0.007249634,0.3595705,0.1920875,0.0001392586,0.0005656363,0.0003903447,0.0003134748,0.002062834,0.4351941,0.00009500181,0.002284378,0.00004715029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999266,0.000379401,0.0001490376,0.00002215204,0.00001100906,0.00001997569,0.0000407492,0.00002070705,0.00009115249],"genre_scores_gemma":[0.9980108,0.0003123756,0.0005424488,0.00004865089,0.00002678461,0.00007025921,0.0001814377,0.00000956553,0.0007977083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258005,"threshold_uncertainty_score":0.004208505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007249105036358881,"score_gpt":0.2405092163352567,"score_spread":0.2332601112988978,"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."}}