{"id":"W2917277267","doi":"10.1111/ijlh.12988","title":"Standardization of reticulocyte counts in the athlete biological passport","year":2019,"lang":"en","type":"article","venue":"International Journal of Laboratory Hematology","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Anti-Doping Agency; Institut National de la Recherche Scientifique","funders":"","keywords":"Hematology analyzer; Comparability; Context (archaeology); Reticulocyte; Standardization; Statistics; Medicine; Reference values; Mathematics; Nuclear medicine; Medical physics; Computer science; Pathology; Chemistry; Internal medicine; Biology; Combinatorics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01942393,0.0004423055,0.0005555842,0.001525197,0.0003711196,0.001122658,0.0009678455,0.0005921831,0.0006741922],"category_scores_gemma":[0.02106128,0.0002607288,0.0003463482,0.001405388,0.0009039583,0.0003756516,0.0008914104,0.0003320264,0.000429865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005253462,"about_ca_system_score_gemma":0.0007475755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002291354,"about_ca_topic_score_gemma":0.00144742,"domain_scores_codex":[0.9756814,0.01204649,0.001945349,0.00409603,0.005959313,0.0002714458],"domain_scores_gemma":[0.9859243,0.004241216,0.003471704,0.002617367,0.003536621,0.000208705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006072597,0.0000684427,0.9463624,0.0002163319,0.0003570856,0.00007414465,0.0009385659,0.0006375356,0.01057837,0.000353375,0.0004943651,0.03931215],"study_design_scores_gemma":[0.00001977251,0.0007180213,0.981661,0.00007077079,0.0001667868,0.0005168893,0.0002079825,0.001396531,0.01131839,0.0001785925,0.003725285,0.00002008202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9647205,0.003977996,0.02586015,0.00009576858,0.0001221454,0.0003195856,0.001092977,0.0001593728,0.003651344],"genre_scores_gemma":[0.9867864,0.0004069219,0.01099324,0.00005103069,0.0000468242,0.0001547484,0.0009712426,0.00003254808,0.0005571148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01942393,"threshold_uncertainty_score":0.1027248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190095376524979,"score_gpt":0.3001493003513965,"score_spread":0.2882483465861467,"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."}}