{"id":"W4286260948","doi":"10.1016/j.jpba.2022.114950","title":"Comparative study of the analysis of seized samples by GC-MS, 1H NMR and FT-IR spectroscopy within a Night-Time Economy (NTE) setting","year":2022,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Manchester Metropolitan University","keywords":"Adulterant; Chemistry; Chromatography; Zolpidem; Analytical Chemistry (journal); Pharmacology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003368003,0.0003360202,0.00209561,0.001173069,0.000563507,0.00002334503,0.0004780789,0.0002003515,0.003950248],"category_scores_gemma":[0.000146163,0.0002217009,0.0008696819,0.004012372,0.001448732,0.0001098497,0.0004387547,0.00148021,0.000001531283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008861596,"about_ca_system_score_gemma":0.0001665945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173134,"about_ca_topic_score_gemma":0.0001076659,"domain_scores_codex":[0.9942794,0.002434195,0.001774645,0.0004385747,0.0006519638,0.0004212632],"domain_scores_gemma":[0.9960143,0.001507508,0.001510848,0.0002315109,0.000230159,0.0005056622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007282663,0.01581192,0.4494659,0.0002060406,0.2814715,0.0002820268,0.01958102,0.01216991,0.1801376,0.0004557904,0.02854214,0.004593433],"study_design_scores_gemma":[0.02012301,0.004806719,0.0576453,0.00004109448,0.3516909,0.0002526654,0.02583191,0.4390538,0.04896598,0.001158037,0.04904425,0.001386306],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944271,0.001146119,0.0003399885,0.003168615,0.0001872169,0.000244615,0.000321568,0.00001083446,0.0001539706],"genre_scores_gemma":[0.9982395,0.0001330473,0.0003432553,0.0009228442,0.0001193987,0.00001189883,0.00003940479,0.000009956983,0.0001807579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4268839,"threshold_uncertainty_score":0.9969603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05000630727126021,"score_gpt":0.4012187743001195,"score_spread":0.3512124670288593,"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."}}