{"id":"W1966183382","doi":"10.1016/j.cca.2010.05.046","title":"Performance evaluation of three liquid chromatography mass spectrometry methods for broad spectrum drug screening","year":2010,"lang":"en","type":"article","venue":"Clinica Chimica Acta","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":58,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Drug Abuse; National Institute of Mental Health; University of California, San Francisco; National Institutes of Health","keywords":"Chromatography; Mass spectrometry; Liquid chromatography–mass spectrometry; Chemistry; Tandem mass spectrometry; Analyte","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01003911,0.0003590663,0.0007851724,0.0004807799,0.0004125212,0.00001703,0.0007111629,0.0007525227,0.003461496],"category_scores_gemma":[0.001323523,0.0003417089,0.0006497969,0.0007403534,0.0008529941,0.0001928424,0.000121668,0.001697598,0.0000221691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003237407,"about_ca_system_score_gemma":0.0002358644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007099158,"about_ca_topic_score_gemma":0.0001196258,"domain_scores_codex":[0.9964607,0.000840263,0.00106452,0.0006651259,0.0003074244,0.0006619922],"domain_scores_gemma":[0.9953231,0.002660338,0.0007199459,0.0007242094,0.0003129964,0.0002594776],"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":[0.003151758,0.0008884078,0.0404584,0.00011883,0.00213517,0.000001398923,0.0003706945,0.0001841143,0.8978859,0.001093895,0.006609965,0.04710147],"study_design_scores_gemma":[0.007543747,0.001334402,0.05370695,0.00005247537,0.004964501,0.00002946128,0.0001364952,0.2485818,0.6414896,0.00663188,0.0345499,0.0009787388],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863709,0.0001739665,0.002309456,0.002337126,0.002342595,0.0008516423,0.00006384609,0.0001215662,0.005428911],"genre_scores_gemma":[0.9259739,0.0001638255,0.07234822,0.0005781502,0.000575503,0.0001148086,0.00006925582,0.00004228895,0.0001340469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2563963,"threshold_uncertainty_score":0.9999035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1139769277324032,"score_gpt":0.4728517290598084,"score_spread":0.3588748013274052,"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."}}