{"id":"W2749991754","doi":"10.1002/dta.2293","title":"Steroid profile and IRMS analysis of musk administration for doping control","year":2017,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Chemistry; Pharmacology; 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":[0.000430474,0.0003935585,0.0003235333,0.0007144422,0.0003567442,0.0002496954,0.0001483324,0.0003122379,0.000688869],"category_scores_gemma":[0.0007985667,0.0001394445,0.0002453629,0.000568083,0.0003302698,0.0001038425,0.0001302695,0.0002945429,0.0001523399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002357033,"about_ca_system_score_gemma":0.0004391747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317613,"about_ca_topic_score_gemma":0.003802126,"domain_scores_codex":[0.999414,0.0001191156,0.0000360794,0.0001190658,0.0002670879,0.0000447061],"domain_scores_gemma":[0.9995604,0.00006028887,0.0001059894,0.00003570649,0.0001799691,0.00005775232],"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":[0.004769235,0.0004651453,0.2927555,0.0002806247,0.0003173378,0.000838528,0.0007710092,0.0002691427,0.6528982,0.00009841586,0.0003021352,0.04623471],"study_design_scores_gemma":[0.00004417123,0.00589539,0.7360206,0.00005346397,0.0003814666,0.002098406,0.0004623159,0.0009474853,0.2490058,0.00007401326,0.004973353,0.00004351185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958307,0.002295748,0.0008274666,0.00002897855,0.00002487713,0.00004230524,0.0002880614,0.00002361189,0.0006382314],"genre_scores_gemma":[0.9954529,0.0007625783,0.001940552,0.0001049973,0.00002312556,0.00002956231,0.0003574538,0.00001262863,0.001316099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002317613,"threshold_uncertainty_score":0.004608214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03659246731227966,"score_gpt":0.3176972871644438,"score_spread":0.2811048198521642,"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."}}