{"id":"W2067125890","doi":"10.1073/pnas.0900808106","title":"Nramp1 promotes efficient macrophage recycling of iron following erythrophagocytosis in vivo","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":167,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Clinical Research Institute; Jewish General Hospital","funders":"Canadian Institutes of Health Research; McGill University","keywords":"Hepcidin; Spleen; Ferroportin; DMT1; Transferrin saturation; Erythropoiesis; Iron deficiency; Chemistry; Anemia; In vivo; Reticulocytosis; Transferrin; Endocrinology; Internal medicine; Macrophage; Hemolytic anemia; Phenylhydrazine; Hemoglobin; Serum iron; Hepatocyte; Biology; Biochemistry; Immunology; Transporter; In vitro; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000300078,0.0003389854,0.00044136,0.0002294586,0.0001382119,0.0003589838,0.0002314917,0.0003291229,0.001185388],"category_scores_gemma":[0.0002103734,0.0002224081,0.0002325813,0.0001068148,0.0003751046,0.0002626131,0.0003376852,0.0007976483,0.0006643729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002397595,"about_ca_system_score_gemma":0.0001774466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003228899,"about_ca_topic_score_gemma":0.0004445971,"domain_scores_codex":[0.9997101,0.0000587855,0.00003290964,0.00006234679,0.00005351327,0.00008232013],"domain_scores_gemma":[0.9996914,0.000043129,0.0001028764,0.00004131977,0.00003669341,0.00008465679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001448237,0.00001993371,0.0001344355,0.00003299228,0.000002142507,0.00003120758,0.00001300565,0.00001892891,0.9991724,0.00005191781,0.00002730803,0.0003508448],"study_design_scores_gemma":[0.00003561493,0.0003212003,0.005040111,0.0000137046,0.00001631846,0.000323663,0.00005647838,0.0008755447,0.9915245,0.00006625315,0.001720176,0.000006409108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951197,0.001111771,0.002396247,0.0001556306,0.00002542255,0.00002568244,0.0003333698,0.00007798896,0.0007542053],"genre_scores_gemma":[0.9953042,0.0005670242,0.001500687,0.00006018475,0.00001050416,0.00004377335,0.0004409728,0.00003866401,0.002033868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001185388,"threshold_uncertainty_score":0.003965497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605943835512428,"score_gpt":0.3146439434431144,"score_spread":0.2885845050879901,"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."}}