{"id":"W2056779899","doi":"10.1021/ac3036052","title":"High-Throughput Bioaffinity Mass Spectrometry for Screening and Identification of Designer Anabolic Steroids in Dietary Supplements","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Steroid; Mass spectrometry; Electrospray ionization; High-performance liquid chromatography; Testosterone (patch); High-throughput screening; Hormone; Biochemistry; Internal medicine","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":[0.0006289629,0.0009461874,0.0008706113,0.001193224,0.0005696746,0.0005178506,0.0007117853,0.0009101792,0.001218713],"category_scores_gemma":[0.0005393429,0.0003779114,0.00060865,0.0006746575,0.0003742674,0.0003238203,0.0007368473,0.0005908008,0.001119637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005010938,"about_ca_system_score_gemma":0.0007308843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058363,"about_ca_topic_score_gemma":0.003272251,"domain_scores_codex":[0.9987326,0.0002521366,0.00005548042,0.0002495506,0.0006163827,0.00009381149],"domain_scores_gemma":[0.9997717,0.00005663407,0.00003600938,0.00002878057,0.0000784348,0.00002848137],"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":[0.00005973375,0.00003253908,0.000307582,0.000143596,0.00002291824,0.00005620818,0.00001392813,0.0001131957,0.991021,0.00009966127,0.0001723987,0.007957163],"study_design_scores_gemma":[0.00002595031,0.000225053,0.003383294,0.00002062851,0.00005186533,0.0006517892,0.00003544144,0.003422129,0.98367,0.0001339579,0.008343721,0.00003620044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5152183,0.04034264,0.4192093,0.0009310358,0.0004416626,0.001638854,0.004712387,0.004312041,0.01319384],"genre_scores_gemma":[0.6505418,0.01400475,0.3103606,0.001441425,0.0001702674,0.001025718,0.003272952,0.0001742707,0.01900811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001218713,"threshold_uncertainty_score":0.004076958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03017238507324161,"score_gpt":0.2980030136490309,"score_spread":0.2678306285757893,"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."}}