{"id":"W2318932089","doi":"10.1021/ac501072g","title":"High Throughput Identification and Quantification of Anabolic Steroid Esters by Atmospheric Solids Analysis Probe Mass Spectrometry for Efficient Screening of Drug Preparations","year":2014,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Mass spectrometry; Chromatography; Steroid; Anabolic steroid; Tandem mass spectrometry; Fragmentation (computing); Nandrolone; Sample preparation; Gas chromatography–mass spectrometry; Anabolism; Hormone; Biochemistry","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":[0.0006145214,0.0006910256,0.0003672913,0.0008163194,0.0002483584,0.0004126526,0.0002942157,0.0004368638,0.001536324],"category_scores_gemma":[0.0006701046,0.0002239049,0.0003173109,0.0004415515,0.0004097364,0.0006095318,0.0005495085,0.0006343159,0.0006235618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002291693,"about_ca_system_score_gemma":0.0004572239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002757412,"about_ca_topic_score_gemma":0.0005883424,"domain_scores_codex":[0.9992622,0.0001100224,0.00002466652,0.0001200582,0.000444409,0.00003860637],"domain_scores_gemma":[0.999755,0.0000723581,0.00004982237,0.00002287064,0.00007692951,0.00002311786],"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":[0.00008003864,0.00001054833,0.0002839768,0.00006596985,0.00001047687,0.00003437217,0.00001280623,0.00008301086,0.9890273,0.0001256726,0.00006183881,0.01020389],"study_design_scores_gemma":[0.00001535436,0.0003983162,0.002362984,0.00001405067,0.00002533087,0.0003321255,0.00004180882,0.002997131,0.9887851,0.0002033746,0.00480687,0.00001748004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7449342,0.01456251,0.2296923,0.0004115617,0.0001787428,0.0004123811,0.001599298,0.0010839,0.007125053],"genre_scores_gemma":[0.8431632,0.009302028,0.1389549,0.0003024275,0.0001175341,0.0003124365,0.0009527752,0.0001351427,0.006759597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001536324,"threshold_uncertainty_score":0.00513947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009379150189697693,"score_gpt":0.2685651305253784,"score_spread":0.2591859803356807,"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."}}