{"id":"W3163627433","doi":"10.1002/dta.3058","title":"Frequency and type of adverse analytical findings in athletics: Differences among disciplines","year":2021,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Doping in Sports","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Athletes; Adverse effect; Anabolic-Androgenic Steroids; Psychology; Set (abstract data type); Medicine; Demography; Physical therapy; Internal medicine; Anabolism; Computer science; Sociology","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":[0.0004332229,0.00006945365,0.0002525577,0.0001586341,0.0001412745,0.00002847732,0.00006697408,0.00004031958,0.00004970757],"category_scores_gemma":[0.001838618,0.00006297703,0.00004350954,0.001448683,0.0003433346,0.0000758591,0.00005435229,0.00007279272,4.892015e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001361801,"about_ca_system_score_gemma":0.00006011781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003620117,"about_ca_topic_score_gemma":0.007056183,"domain_scores_codex":[0.9991578,0.00007151658,0.0002122189,0.000220199,0.0001828197,0.0001554383],"domain_scores_gemma":[0.9992195,0.0004309624,0.0000683641,0.00009337871,0.0001157069,0.00007213586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[4.620054e-7,0.00001719441,0.9952286,0.00001259191,0.00003402455,0.00001467812,0.00376323,0.00002666484,0.00002868472,0.0004941602,0.000004077083,0.0003755823],"study_design_scores_gemma":[0.0000494101,0.000004222273,0.9912291,0.00006579814,0.0002363435,3.546456e-7,0.003830078,0.003229702,0.00001140913,0.00125913,0.000004373704,0.00008006957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969906,0.0001649079,0.0000101854,0.0002198603,0.00002733426,0.00002227647,0.000002545823,0.00001732598,0.002544946],"genre_scores_gemma":[0.9979548,0.00006840535,0.001414178,0.000009616413,0.00002672758,6.306443e-7,0.000003377456,0.00000296597,0.0005192645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003999541,"threshold_uncertainty_score":0.5472558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819160249935151,"score_gpt":0.3174926745537808,"score_spread":0.2793010720544293,"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."}}