{"id":"W2146265197","doi":"10.1002/dta.1540","title":"DART‐MS for rapid, preliminary screening of urine for DMAA","year":2013,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"DART ion source; Dart; Chemistry; Urine; Chromatography; Drugs of abuse; Mass spectrometry; Stimulant; Substance Abuse Detection; Pharmacology; Ionization; Drug; Medicine; Computer science; Electron ionization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001736903,0.001949222,0.0009047471,0.003200855,0.001209188,0.0007745425,0.001521504,0.002364878,0.01462426],"category_scores_gemma":[0.00323935,0.0008903723,0.0008813114,0.001117479,0.0006028799,0.001007049,0.001343627,0.002132021,0.009510368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004564175,"about_ca_system_score_gemma":0.001148434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007086546,"about_ca_topic_score_gemma":0.00196819,"domain_scores_codex":[0.9975914,0.0003983557,0.0001100417,0.0008218261,0.0009113366,0.0001671078],"domain_scores_gemma":[0.9986732,0.0004479628,0.0001656291,0.000131297,0.0004492405,0.000132707],"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":[0.0004658727,0.0002071639,0.002628216,0.0006765426,0.0001379052,0.0005959241,0.0001199701,0.0003033325,0.9308413,0.00121073,0.007308757,0.0555042],"study_design_scores_gemma":[0.00008726409,0.0009075674,0.005595198,0.0001103469,0.0000941406,0.004879912,0.0001280191,0.01489824,0.9256743,0.0009376872,0.0465496,0.0001377116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1276389,0.01748462,0.7802715,0.001408024,0.001924572,0.002582963,0.01067181,0.02823545,0.02978223],"genre_scores_gemma":[0.2737778,0.008034062,0.6761134,0.003198561,0.0003188881,0.002034412,0.007402101,0.001044496,0.02807626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01462426,"threshold_uncertainty_score":0.04892308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219358629898353,"score_gpt":0.2680558485358639,"score_spread":0.2461199855460287,"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."}}