{"id":"W2412263307","doi":"10.1371/journal.pone.0156157","title":"Autologous Doping with Cryopreserved Red Blood Cells – Effects on Physical Performance and Detection by Multivariate Statistics","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centrum för idrottsforskning; World Anti-Doping Agency; VINNOVA","keywords":"Medicine; Erythropoietin; Whole blood; Multivariate analysis of variance; Blood transfusion; Athletes; Analysis of variance; Complete blood count; Andrology; Internal medicine; Physical therapy; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003853143,0.0005790573,0.0006628376,0.0005276197,0.0002165496,0.0003680189,0.0002531139,0.0001968337,0.001235666],"category_scores_gemma":[0.005407521,0.0001230106,0.0006988822,0.0006296863,0.0005888512,0.0003128353,0.0003340757,0.0005266889,0.0001523678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731019,"about_ca_system_score_gemma":0.0004388679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521837,"about_ca_topic_score_gemma":0.0008953204,"domain_scores_codex":[0.9971675,0.001692916,0.0001332084,0.0004046446,0.0004299581,0.0001716937],"domain_scores_gemma":[0.9940316,0.003954801,0.0007220159,0.0006930516,0.0002793267,0.0003192214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03903276,0.003574142,0.5123662,0.0003192771,0.002166141,0.0004775834,0.00185886,0.006284421,0.169706,0.001065623,0.00128388,0.2618651],"study_design_scores_gemma":[0.00005376281,0.01012001,0.9483825,0.00001372417,0.0002512583,0.0001991284,0.0002440121,0.02289443,0.01675188,0.0003596437,0.0006912355,0.00003851837],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946389,0.0001194189,0.004704555,0.00003832739,0.00001998591,0.00002035661,0.0001027408,0.00006077895,0.0002948431],"genre_scores_gemma":[0.9958369,0.00007893577,0.003325674,0.00001129787,0.0000135131,0.00005391064,0.0001845006,0.00002935849,0.0004657744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003853143,"threshold_uncertainty_score":0.02037764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457233316795985,"score_gpt":0.2169321027267042,"score_spread":0.2023597695587444,"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."}}