{"id":"W4386020166","doi":"10.1002/dta.3563","title":"Competitive performance as a discriminator of doping status in elite athletes","year":2023,"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":"Elite athletes; Elite; Athletes; Discriminator; Competitive athletes; Performance enhancement; Psychology; Physical therapy; Medicine; Physical medicine and rehabilitation; Computer science; Telecommunications; Political science","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":[0.000743769,0.00006522606,0.0002077678,0.0003372827,0.0001921865,0.00003521173,0.00008003349,0.00002250171,0.00001637944],"category_scores_gemma":[0.001040509,0.00006389985,0.00004903078,0.002838073,0.000166402,0.0001005545,0.00004628257,0.00006611729,0.00000667393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003089627,"about_ca_system_score_gemma":0.00006232654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009666624,"about_ca_topic_score_gemma":0.001624361,"domain_scores_codex":[0.9990742,0.00007035683,0.0001926481,0.0001783699,0.0002207792,0.0002636592],"domain_scores_gemma":[0.999158,0.0005161732,0.0001031356,0.0000891417,0.00007241899,0.00006109512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001312803,0.00001018374,0.9683046,0.00002886784,0.00003436422,0.000005754293,0.01729488,0.0004337317,0.00004205143,0.00192022,0.000007661636,0.01191634],"study_design_scores_gemma":[0.00009192852,0.000008740505,0.9697306,0.0003692049,0.0001325962,1.42894e-7,0.01865189,0.009778606,0.00004979893,0.0004765701,0.000581159,0.0001287617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804243,0.0001161855,0.000002259423,0.0001263891,0.00002800913,0.00004568243,0.000005194658,0.00007148626,0.01918046],"genre_scores_gemma":[0.9986096,0.0003466467,0.0004636448,0.00002129198,0.00002536092,0.000003493353,0.000008280813,0.00000452027,0.0005171521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01866331,"threshold_uncertainty_score":0.9969281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758726826083631,"score_gpt":0.3074905152241159,"score_spread":0.2799032469632796,"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."}}