{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139698,0.00009637354,0.0002336625,0.0001133572,0.0001288991,0.00002813729,0.0001071176,0.0000372404,0.0003514881],"category_scores_gemma":[0.0002349896,0.00008864294,0.0001527614,0.0004248779,0.00003068693,0.00004011131,0.00003787262,0.00004847919,4.138103e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006147062,"about_ca_system_score_gemma":0.000006347797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002170496,"about_ca_topic_score_gemma":0.000002735597,"domain_scores_codex":[0.9993165,0.000003810005,0.0002322135,0.0002250837,0.00006660314,0.0001558185],"domain_scores_gemma":[0.9988835,0.0005459308,0.0001536111,0.0002314396,0.0001328921,0.00005264971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008617366,0.0006756282,0.2284515,0.002226077,0.002771268,0.000001098521,0.0004147088,0.0007476232,0.303101,0.004839676,0.02125249,0.4354327],"study_design_scores_gemma":[0.001100574,0.0001808243,0.008665755,0.0001768418,0.003390644,0.00000574886,0.0005485947,0.7695349,0.1921446,0.01688991,0.006683577,0.0006780559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283657,0.0006024785,0.154907,0.001660337,0.000007869016,0.0006089287,0.0003566413,0.0004293572,0.01306175],"genre_scores_gemma":[0.8125057,0.000007819461,0.1857677,0.0000140575,0.00005494136,0.0002939797,0.00009675331,0.00001098247,0.00124809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7687873,"threshold_uncertainty_score":0.3848548,"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."}}