{"id":"W2981968823","doi":"10.1007/s12630-019-01510-9","title":"In reply: Erythropoietin and iron: separating the builder from his blocks","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Erythropoietin and Anemia Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Erythropoietin; Computer science; Internal medicine; Medicine","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":[0.002027615,0.0009195887,0.001426398,0.0009352085,0.005871553,0.003772841,0.001807378,0.07721344,0.008171638],"category_scores_gemma":[0.0250108,0.00113414,0.001134566,0.0007607579,0.002570324,0.003426916,0.002002308,0.0540846,0.004663327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006200184,"about_ca_system_score_gemma":0.005252948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465152,"about_ca_topic_score_gemma":0.02581916,"domain_scores_codex":[0.9977795,0.000566636,0.000337748,0.0002813964,0.0004463403,0.0005882226],"domain_scores_gemma":[0.9919087,0.004137054,0.000686679,0.0001755728,0.00123568,0.001856329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005162032,0.00002661952,0.0008866696,0.00004220334,0.00001627236,0.005847104,0.0002061409,0.00003545391,0.00008692022,0.001324059,0.9885564,0.002920548],"study_design_scores_gemma":[0.0002049277,0.0001018181,0.003307344,0.0006664499,0.00008715424,0.01262756,0.001943465,0.0005631986,0.0002364475,0.007892182,0.9722167,0.0001527667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003129169,0.0006545085,0.00002873214,0.9833775,0.01472334,0.000005059518,0.00001779154,0.000007094713,0.0008730447],"genre_scores_gemma":[0.003855513,0.0008898482,0.0001100475,0.9531273,0.03678084,0.00001801109,0.00001563707,0.00001701201,0.005185731],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07721344,"threshold_uncertainty_score":0.04498565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170102936926407,"score_gpt":0.2331227836061624,"score_spread":0.2214217542368983,"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."}}