{"id":"W2028850970","doi":"10.1016/j.ijms.2009.04.008","title":"Statistical analysis of fragmentation patterns of electron ionization mass spectra of enolized-trimethylsilylated anabolic androgenic steroids","year":2009,"lang":"en","type":"article","venue":"International Journal of Mass Spectrometry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Electron ionization; Trimethylsilyl; Mass spectrum; Mass spectrometry; Molecule; Fragmentation (computing); Chromatography; Gas chromatography; Anabolism; Ion; Ionization; Analytical Chemistry (journal); Medicinal chemistry; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004109184,0.0001547594,0.0008171325,0.001846921,0.0000178782,0.000008400207,0.0001932619,0.00006896886,0.0002126098],"category_scores_gemma":[0.0002517566,0.0001256397,0.0003422163,0.001105262,0.00007601483,0.0001225649,0.00001666282,0.0002243786,8.688376e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001910193,"about_ca_system_score_gemma":0.0001101177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003141925,"about_ca_topic_score_gemma":0.000003422001,"domain_scores_codex":[0.9973834,0.00008711333,0.001104966,0.0001891064,0.001069905,0.0001655316],"domain_scores_gemma":[0.9972176,0.0001103969,0.001079907,0.0001479505,0.001369129,0.00007503453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001290159,0.000616141,0.1816318,0.00003814809,0.007360653,0.00005222423,0.0003063089,0.0003551653,0.8038087,0.00216289,0.00002487562,0.002352832],"study_design_scores_gemma":[0.001360805,0.001368574,0.6129752,0.00006173879,0.001369872,0.0000358354,0.0002511624,0.000127786,0.3812158,0.00115172,0.000008448089,0.00007311489],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552798,0.001088409,0.04244336,0.0005076457,0.0001503112,0.0001081941,0.000083887,0.000005882885,0.0003325147],"genre_scores_gemma":[0.9931591,0.0009070289,0.005582489,0.00002655477,0.0002020567,5.549372e-7,0.00006628585,0.00001021799,0.00004575123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4313433,"threshold_uncertainty_score":0.5123439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009198646347040124,"score_gpt":0.3062165715576384,"score_spread":0.2970179252105983,"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."}}