{"id":"W4283366867","doi":"10.1002/dta.3339","title":"Evaluation of longitudinal <sup>13</sup>C isotope ratio mass spectrometric data in antidoping analysis","year":2022,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Population; Confounding; Chemistry; Statistics; Medicine; Mathematics","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":[0.004437029,0.0001354213,0.0007043603,0.002249617,0.0002409277,0.00001779505,0.0001485057,0.00001640515,0.0001169853],"category_scores_gemma":[0.002598995,0.0001151286,0.0001523078,0.01456384,0.00006694501,0.00008899611,0.0002762846,0.0001957086,8.526417e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009933388,"about_ca_system_score_gemma":0.00009440658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001633456,"about_ca_topic_score_gemma":0.0001557618,"domain_scores_codex":[0.9974503,0.0002915367,0.0004328288,0.0006314786,0.00100244,0.000191417],"domain_scores_gemma":[0.9984909,0.0002912084,0.0002002159,0.0005627345,0.0004059429,0.0000489706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001522524,0.0001196333,0.9254153,0.00002833835,0.004589445,0.00001217772,0.0004124135,0.06201709,0.0005058856,0.000005996971,0.00001695227,0.006861569],"study_design_scores_gemma":[0.0003055221,0.00004169924,0.5434908,0.00000952436,0.0160459,0.000002989923,0.001347917,0.4385541,0.00004828148,0.00006931122,0.000006379324,0.00007758095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947342,0.00314131,0.0005914206,0.0004127462,0.00001148774,0.0001654682,0.00004821403,0.00002082618,0.0008743427],"genre_scores_gemma":[0.9978721,0.00007624713,0.001588839,0.00001290914,0.00006292571,0.00001675214,0.0002307361,0.000007056535,0.0001324999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819245,"threshold_uncertainty_score":0.6997442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0895989945339296,"score_gpt":0.3345454372447462,"score_spread":0.2449464427108166,"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."}}