{"id":"W2124066646","doi":"10.1002/dta.1906","title":"Sensitivity of GC‐EI/MS, GC‐EI/MS/MS, LC‐ESI/MS/MS, LC‐Ag<sup>+</sup>CIS/MS/MS, and GC‐ESI/MS/MS for analysis of anabolic steroids in doping control","year":2015,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea Institute of Science and Technology; World Anti-Doping Agency","keywords":"Chemistry; Chromatography; Mass spectrometry; Electrospray ionization; Electrospray; Gas chromatography–mass spectrometry; Gas chromatography; Analytical Chemistry (journal)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005386263,0.001208226,0.005055676,0.002811075,0.0006323911,0.0001418596,0.0003702191,0.0003786909,0.00004704064],"category_scores_gemma":[0.005595488,0.001005348,0.001197245,0.006482408,0.0009828479,0.0004239091,0.0004243915,0.0008074399,0.000006816843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002505462,"about_ca_system_score_gemma":0.0003092351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02103437,"about_ca_topic_score_gemma":0.0046904,"domain_scores_codex":[0.9915781,0.0009665673,0.002365645,0.002269878,0.001371796,0.00144801],"domain_scores_gemma":[0.9918177,0.00264299,0.001328408,0.00141423,0.002028021,0.0007686286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000920913,0.00106262,0.9353986,0.001026725,0.01702247,0.0001870323,0.00642745,0.01060772,0.009766305,0.00007886723,0.001298534,0.0162028],"study_design_scores_gemma":[0.009930256,0.001045255,0.7193186,0.00113039,0.03922726,0.00009032206,0.006559529,0.2153201,0.003098867,0.0004710693,0.00176315,0.002045195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831772,0.009228756,0.001816847,0.002001933,0.0001139503,0.001054261,0.0007054266,0.000192734,0.001708917],"genre_scores_gemma":[0.9940597,0.0007608064,0.002484319,0.0003328327,0.0008774699,0.00009091604,0.0003743343,0.0001096462,0.0009099864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.21608,"threshold_uncertainty_score":0.9992397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03534743637708355,"score_gpt":0.2894966302461422,"score_spread":0.2541491938690587,"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."}}