{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006218442,0.00202192,0.001279948,0.002770039,0.001392826,0.002160574,0.002273212,0.004515184,0.001097971],"category_scores_gemma":[0.01026923,0.001047669,0.001154305,0.001099532,0.001547936,0.001375689,0.001546793,0.001650946,0.001476215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521969,"about_ca_system_score_gemma":0.002548631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004031017,"about_ca_topic_score_gemma":0.005086927,"domain_scores_codex":[0.991717,0.001492318,0.0003675533,0.001180824,0.004761046,0.0004812567],"domain_scores_gemma":[0.99394,0.002880875,0.0006363426,0.000281429,0.00181453,0.0004468229],"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":[0.008828717,0.001781021,0.01731783,0.0008140224,0.000606453,0.0002273628,0.0004371697,0.002105868,0.860964,0.0007667586,0.001151341,0.1049994],"study_design_scores_gemma":[0.0003968014,0.004726928,0.01374674,0.00006624647,0.0005417385,0.001473084,0.00022961,0.02668867,0.9483707,0.0003268924,0.003213087,0.0002195308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7792434,0.02682982,0.1801968,0.001514782,0.001084919,0.00180539,0.001166435,0.003322777,0.004835668],"genre_scores_gemma":[0.8397741,0.006409327,0.1447935,0.001947995,0.0002811782,0.0009582981,0.00108523,0.0002161354,0.004534114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006218442,"threshold_uncertainty_score":0.03288668,"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."}}