{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003448197,0.00008792977,0.0005599318,0.0002187658,0.0003359444,0.00003479947,0.00003508495,0.00002153815,0.000003315192],"category_scores_gemma":[0.001143633,0.00006176727,0.0001606459,0.0003061305,0.000131576,0.0000491084,0.00002470066,0.0000405759,1.487245e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005474598,"about_ca_system_score_gemma":0.00001589433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001672632,"about_ca_topic_score_gemma":0.0001007108,"domain_scores_codex":[0.9993027,0.00001644195,0.0002115126,0.0002658326,0.0001014904,0.0001019794],"domain_scores_gemma":[0.9990584,0.00021322,0.000234517,0.0002204552,0.0002230396,0.00005038241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006605442,0.00004099017,0.9789833,0.00009799786,0.006776358,0.000001913736,0.0002859524,0.00003229236,0.004082819,0.00002198422,0.00000972794,0.009600625],"study_design_scores_gemma":[0.0005591527,0.0001063814,0.9447445,0.00003028911,0.01806732,0.000001120823,0.0003907527,0.03534,0.0006196011,0.00005150312,0.00001413048,0.00007527872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970376,0.0004755846,0.0009072761,0.0007592996,0.00001089867,0.0001516701,0.00004666186,0.00001247412,0.0005985174],"genre_scores_gemma":[0.9973003,0.00002540614,0.002127263,0.0000188396,0.0000709127,0.00001619188,0.00002421606,0.000003904032,0.0004129508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03530771,"threshold_uncertainty_score":0.2583847,"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."}}