{"id":"W2045779362","doi":"10.1007/s00216-007-1802-1","title":"A screening method for the detection of synthetic glucocorticosteroids in human urine by liquid chromatography–mass spectrometry based on class-characteristic fragmentation pathways","year":2008,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency; Roche Italia","keywords":"Chromatography; Fragmentation (computing); Mass spectrometry; Chemistry; Urine; Liquid chromatography–mass spectrometry; Computer science; 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":[0.000914961,0.0009218986,0.0006446571,0.001622774,0.0005785638,0.0004185157,0.0008349367,0.001608667,0.0009257774],"category_scores_gemma":[0.001325154,0.0004800373,0.0005796216,0.0004948447,0.000555571,0.0005597787,0.0006044106,0.00106665,0.000845502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004558479,"about_ca_system_score_gemma":0.001065048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007284714,"about_ca_topic_score_gemma":0.001458512,"domain_scores_codex":[0.9990525,0.0001798797,0.00004769028,0.0002324249,0.0004054822,0.00008201443],"domain_scores_gemma":[0.9990758,0.0003178018,0.0001259803,0.00005687308,0.0002835116,0.0001400342],"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":[0.0002455142,0.00008549691,0.0009657831,0.000139409,0.00004606226,0.0001018846,0.0000196642,0.00005647456,0.9778593,0.0001627135,0.0003212107,0.0199966],"study_design_scores_gemma":[0.00008942818,0.001076139,0.006824083,0.00003389113,0.0001055915,0.003796494,0.00002511446,0.002144225,0.9805248,0.0002167569,0.005115954,0.00004752113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3731499,0.02242466,0.5888863,0.001244536,0.0006978267,0.001897622,0.002240264,0.003220064,0.006238776],"genre_scores_gemma":[0.5941179,0.007498822,0.3864292,0.002196571,0.0002338764,0.001285037,0.002293197,0.000146435,0.005799005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001622774,"threshold_uncertainty_score":0.004838824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563306431839781,"score_gpt":0.2551405402952283,"score_spread":0.2395074759768304,"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."}}