{"id":"W2340602081","doi":"10.1016/j.jchromb.2016.04.023","title":"A modified LC–MS/MS method to simultaneously quantify glycerol and mannitol concentrations in human urine for doping control purposes","year":2016,"lang":"en","type":"article","venue":"Journal of Chromatography B","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Mannitol; Derivatization; Chromatography; Glycerol; Detection limit; Galactitol; Mass spectrometry; Tandem mass spectrometry; Urine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009920265,0.001502857,0.0006783211,0.002108357,0.001000869,0.0007106551,0.001314999,0.002396586,0.002509414],"category_scores_gemma":[0.001476853,0.0007834749,0.0008330441,0.0007307464,0.0005821768,0.0007229928,0.001284165,0.00170483,0.002330219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006444698,"about_ca_system_score_gemma":0.001937348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166676,"about_ca_topic_score_gemma":0.005900635,"domain_scores_codex":[0.9979227,0.0002676249,0.0001200116,0.0005962139,0.0009742068,0.0001192172],"domain_scores_gemma":[0.9993405,0.0001007811,0.00007877842,0.00007684307,0.0003278126,0.00007523271],"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":[0.0004131426,0.0001718566,0.00205912,0.0002794311,0.0001827155,0.0003093646,0.00004572869,0.0002450512,0.9554231,0.0003775995,0.0016524,0.03884048],"study_design_scores_gemma":[0.00008416315,0.0007471721,0.009899654,0.00007773907,0.0002243589,0.004318972,0.00004917604,0.009228386,0.954416,0.0003968599,0.0203249,0.0002325136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3312543,0.02238942,0.6040435,0.002619813,0.003965897,0.003113414,0.009584833,0.009813985,0.01321482],"genre_scores_gemma":[0.4861182,0.005367808,0.4655958,0.007023656,0.000679098,0.002587917,0.004986471,0.0005884175,0.02705273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002509414,"threshold_uncertainty_score":0.008394837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342610152601856,"score_gpt":0.3013365910721242,"score_spread":0.2879104895461057,"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."}}