{"id":"W2015671978","doi":"10.1016/j.aca.2011.01.006","title":"Use of benchtop exactive high resolution and high mass accuracy orbitrap mass spectrometer for screening in horse doping control","year":2011,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Orbitrap; Chemistry; Mass spectrometry; Chromatography; Mass spectrum; Analytical Chemistry (journal); Sample preparation; Analyte; Hybrid mass spectrometer; Quadrupole mass analyzer; Ion trap; Triple quadrupole mass spectrometer; Selected reaction monitoring; Tandem mass spectrometry","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":[0.001210795,0.000477761,0.0004865718,0.000870842,0.0006963643,0.0006889284,0.0007291652,0.0009063408,0.001378878],"category_scores_gemma":[0.001172426,0.0003219527,0.0003150177,0.000418205,0.0004777914,0.0005077186,0.000436769,0.0004909065,0.0004951552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002645171,"about_ca_system_score_gemma":0.0006160294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468733,"about_ca_topic_score_gemma":0.003093435,"domain_scores_codex":[0.9988866,0.0002579696,0.00004659744,0.0002705386,0.0004604541,0.00007781784],"domain_scores_gemma":[0.9994107,0.0001952076,0.00007729624,0.00005931926,0.0002081699,0.00004933128],"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":[0.0009250958,0.000318651,0.02197884,0.0001886359,0.0001112667,0.0003723945,0.0002020353,0.0002667352,0.9240286,0.0004138725,0.0004935682,0.05070034],"study_design_scores_gemma":[0.00007723222,0.002429129,0.05881514,0.00006697406,0.0003824602,0.003033365,0.0002298797,0.009494994,0.9173795,0.0005023465,0.007535387,0.00005360501],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987588,0.007189411,0.08524852,0.0004527812,0.0002605391,0.0002540674,0.0008170957,0.001551162,0.005467678],"genre_scores_gemma":[0.9165987,0.001939116,0.07449048,0.0005777142,0.00008879886,0.0001032803,0.0007137224,0.00009499321,0.005393183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001468733,"threshold_uncertainty_score":0.006403387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04161405899208078,"score_gpt":0.2639644669353252,"score_spread":0.2223504079432444,"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."}}