{"id":"W2290730617","doi":"10.1016/j.forsciint.2016.02.040","title":"Effects of intravenous infusion of glycerol on blood parameters and urinary glycerol concentrations","year":2016,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Otsuka Pharmaceutical; World Anti-Doping Agency; Chugai Pharmaceutical; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Glycerol; Chemistry; Urinary system; Anesthesia; Medicine; Chromatography; Internal medicine; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001100159,0.00006263579,0.00007714492,0.00008007408,0.00003600851,0.000007562985,0.0001548805,0.00003738956,0.000008623883],"category_scores_gemma":[0.0001984547,0.000045149,0.00003104508,0.00007207446,0.0005107226,0.00001254013,0.00006247946,0.000021045,9.262304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006696613,"about_ca_system_score_gemma":0.00004239347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009978622,"about_ca_topic_score_gemma":0.000002238621,"domain_scores_codex":[0.9993187,0.00001538623,0.0001435366,0.0001910534,0.0002305722,0.0001007425],"domain_scores_gemma":[0.9995779,0.00004058555,0.00009271352,0.0001127692,0.0001332994,0.00004270408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001677434,0.0001247328,0.001516242,0.00001053513,0.00001430964,0.000001109507,0.00003840224,0.000003315192,0.9793655,0.001550627,0.00004395704,0.01716356],"study_design_scores_gemma":[0.001086489,0.000982831,0.03794532,0.00006585619,0.0000125374,0.00001327168,0.000008346013,0.00003603729,0.9590378,0.0005596531,0.0001966079,0.00005519682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983786,0.00007629774,0.0007097221,0.0001488112,0.0003026905,0.0001210063,0.00002542118,0.000003024406,0.000234363],"genre_scores_gemma":[0.9988292,0.0001820925,0.0008193827,0.00006248066,0.00006318136,0.000007758553,0.00000868591,0.000003347751,0.0000238574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03642908,"threshold_uncertainty_score":0.1881779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005628316803148863,"score_gpt":0.2305852084607227,"score_spread":0.2249568916575738,"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."}}