{"id":"W2125400069","doi":"10.1373/clinchem.2011.162107","title":"The Athlete Biological Passport: An Effective Tool in the Fight against Doping","year":2011,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Anti-Doping Agency","funders":"","keywords":"Athletes; Medicine; Erythropoiesis; Internal medicine; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001289885,0.0001260552,0.0002806403,0.000004483118,0.0001463828,0.000007827584,0.0001978521,0.0001432099,0.00002130611],"category_scores_gemma":[0.001678435,0.00005045953,0.0001604406,0.00009337793,0.0005033832,0.00002218199,0.00008060536,0.0005811998,0.00001982244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818376,"about_ca_system_score_gemma":0.00002635297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002827767,"about_ca_topic_score_gemma":0.000001722022,"domain_scores_codex":[0.9987836,0.0001134577,0.0003834614,0.000368946,0.0001329539,0.0002175095],"domain_scores_gemma":[0.998715,0.0006638971,0.00007926834,0.0004235453,0.00006709657,0.00005117506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001057752,0.001212693,0.8871666,0.00008360903,0.0002242498,0.0003782439,0.001118102,1.768219e-7,0.00672159,0.0002230964,0.001857547,0.09995639],"study_design_scores_gemma":[0.0006726138,0.0003158827,0.9680457,0.00006200336,0.00003321111,0.00001845328,0.001004109,0.000005923634,0.007020754,0.0007605711,0.021927,0.0001337342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807838,0.0006083056,0.00000173163,0.001231883,0.0001034864,0.0003361744,0.000002510903,0.00002670154,0.01690542],"genre_scores_gemma":[0.9973038,0.0004635751,0.00003875605,0.0009134726,0.0008700195,0.0001063428,0.00000986559,0.000006459495,0.000287653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09982266,"threshold_uncertainty_score":0.2525056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149095635302375,"score_gpt":0.3636853840277065,"score_spread":0.248775820497469,"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."}}