{"id":"W3080445721","doi":"10.1002/ansa.202000083","title":"Rapid and quantitative determination of fentanyls and pharmaceuticals from powdered drug samples by paper spray mass spectrometry","year":2020,"lang":"en","type":"article","venue":"Analytical Science Advances","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University; Simon Fraser University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Vancouver Island University","keywords":"Chromatography; Slurry; Pharmaceutical drug; Pharmaceutical formulation; Mass spectrometry; Fentanyl; Sample preparation; Drug; Chemistry; Materials science; Pharmacology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009617556,0.001043433,0.0004601284,0.0009760653,0.0003490647,0.0006335995,0.0007214538,0.0009889563,0.001784297],"category_scores_gemma":[0.001789192,0.0003535778,0.0003323855,0.0004224278,0.0006054325,0.0006989986,0.0007379063,0.000980286,0.001135091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811742,"about_ca_system_score_gemma":0.0005714358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004575176,"about_ca_topic_score_gemma":0.0009277248,"domain_scores_codex":[0.9986989,0.0001575249,0.00005077398,0.0002338831,0.0008126448,0.00004622384],"domain_scores_gemma":[0.9993075,0.0002003646,0.0001353015,0.00006094956,0.0002574156,0.0000383657],"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":[0.00006044622,0.00002807666,0.0003765573,0.0001257982,0.00001674259,0.00008947594,0.0000328293,0.000123305,0.9838676,0.0003149931,0.0003589364,0.01460522],"study_design_scores_gemma":[0.00002130259,0.0004635302,0.002166649,0.0000369871,0.00002105854,0.0007177499,0.00005718756,0.00386471,0.9854223,0.0003594634,0.006844103,0.00002500764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3026819,0.01243898,0.6656135,0.0007221847,0.0007014007,0.001215233,0.002204749,0.003697767,0.01072433],"genre_scores_gemma":[0.4419428,0.01169013,0.5290691,0.0009177442,0.0002611398,0.001207784,0.001970073,0.0002727607,0.01266847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001784297,"threshold_uncertainty_score":0.005969048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03065950909067875,"score_gpt":0.338751258924081,"score_spread":0.3080917498334022,"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."}}