{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002914734,0.000411519,0.000397674,0.001703031,0.0002346765,0.0009760304,0.0002627561,0.0005253454,0.000632657],"category_scores_gemma":[0.006945811,0.0001324925,0.0004203748,0.0009279855,0.0003796856,0.0003843454,0.0005963075,0.0003943248,0.0002942291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978149,"about_ca_system_score_gemma":0.0003047757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518905,"about_ca_topic_score_gemma":0.00313389,"domain_scores_codex":[0.9989121,0.0004199272,0.00009350088,0.0001713277,0.0002882016,0.0001150554],"domain_scores_gemma":[0.9956299,0.001927486,0.001271279,0.0003111911,0.0005066849,0.0003534628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002757808,0.00006083394,0.9903693,0.00001111514,0.00006061128,0.00002517281,0.00008894577,0.001527094,0.0006360291,0.00007870169,0.00005701879,0.006809427],"study_design_scores_gemma":[0.000004581447,0.000510761,0.9851761,0.00001141904,0.00004113134,0.0001849957,0.0001774997,0.01303242,0.0004553335,0.0002049546,0.0001880127,0.00001286017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967597,0.0001480465,0.001928909,0.00002896854,0.000006804946,0.000009265774,0.000209554,0.00002946781,0.0008792736],"genre_scores_gemma":[0.9991797,0.00003506838,0.0004157413,0.000006287503,0.000005170046,0.000003600452,0.0002023353,0.000003473482,0.0001486933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003518905,"threshold_uncertainty_score":0.01541471,"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."}}