{"id":"W4293555594","doi":"10.20944/preprints202208.0504.v1","title":"Development and Validation of UPLC-Qtof-MS Method for Blood Analysis of Amphetamine-Related Drug Isomers","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Forensic Toxicology and Drug Analysis","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Forensic toxicology; Chromatography; Analyte; Drug; Amphetamine; High-performance liquid chromatography; Chemistry; Toxicology; Pharmacology; Medicine; Biology; Internal medicine","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":[0.002872934,0.0009287193,0.000692191,0.001208973,0.0008423718,0.000733641,0.0008498997,0.001448415,0.0009682406],"category_scores_gemma":[0.002924996,0.0004265556,0.0007017055,0.000556412,0.0007447206,0.0005306468,0.0007369719,0.001147318,0.0009203255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005578301,"about_ca_system_score_gemma":0.002094974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192228,"about_ca_topic_score_gemma":0.002710139,"domain_scores_codex":[0.9968275,0.0007027406,0.0002486071,0.0007877086,0.001294826,0.0001386475],"domain_scores_gemma":[0.998909,0.0002418532,0.0001790812,0.00008793106,0.0005121192,0.00006995648],"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":[0.0003738289,0.000153909,0.002159257,0.0003688611,0.00008390453,0.0002667159,0.00009129752,0.0004476472,0.9684174,0.000496015,0.0004598422,0.02668127],"study_design_scores_gemma":[0.00009418441,0.001345391,0.01338111,0.0001000147,0.0001685502,0.002908636,0.00005950813,0.01413135,0.955901,0.0003978501,0.01138864,0.0001236053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4784454,0.01615695,0.4901901,0.000932335,0.0006938245,0.002162829,0.002692673,0.002872659,0.005853221],"genre_scores_gemma":[0.4312737,0.00582998,0.5496879,0.001459887,0.0001951623,0.001817241,0.002542117,0.0003151141,0.00687889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002872934,"threshold_uncertainty_score":0.0151937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.167260312999989,"score_gpt":0.4594659855910512,"score_spread":0.2922056725910622,"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."}}