{"id":"W2346165635","doi":"10.1002/ajh.24313","title":"Hepcidin as a new biomarker for detecting autologous blood transfusion","year":2016,"lang":"en","type":"article","venue":"American Journal of Hematology","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Anti-Doping Agency","keywords":"Hepcidin; Biomarker; Medicine; Blood transfusion; Intensive care medicine; Immunology; Internal medicine; Anemia; Biology","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":[0.00199308,0.0005476695,0.0007392087,0.0006989288,0.000200468,0.0007844816,0.0002931005,0.0006109626,0.001125847],"category_scores_gemma":[0.001431213,0.0002509965,0.0002109186,0.000409568,0.0004061119,0.0003460447,0.0002710797,0.0007986801,0.0002440929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002576878,"about_ca_system_score_gemma":0.0003708174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003071176,"about_ca_topic_score_gemma":0.000415765,"domain_scores_codex":[0.9987853,0.0007191404,0.00003329063,0.0001325158,0.0002855835,0.00004401628],"domain_scores_gemma":[0.9994809,0.0001994788,0.0001154921,0.00004397767,0.0000923979,0.00006787811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01930544,0.001623165,0.06890503,0.0008130018,0.0003654087,0.0003454402,0.0001908984,0.0009745876,0.7581254,0.0007088386,0.001403287,0.1472396],"study_design_scores_gemma":[0.001664291,0.04906242,0.2025614,0.0003002055,0.001657392,0.003277229,0.0003172009,0.03384712,0.6830568,0.001754204,0.02238172,0.0001201668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9332691,0.03298427,0.02683423,0.0007452247,0.0005670693,0.0008690197,0.0004700589,0.0003137814,0.003947299],"genre_scores_gemma":[0.9736713,0.002866366,0.01956527,0.0003854239,0.0001715405,0.0003385014,0.0003186029,0.00001963806,0.00266347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00199308,"threshold_uncertainty_score":0.01054049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287804032891302,"score_gpt":0.2858119479463213,"score_spread":0.2729339076174082,"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."}}