{"id":"W4417171153","doi":"10.1016/j.brci.2025.100039","title":"Unlocking iron: peptide inhibition of hepcidin","year":2025,"lang":"en","type":"article","venue":"Blood Red Cells & Iron","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"","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":[0.0001317978,0.0002775368,0.0001791345,0.0001131293,0.0001171787,0.0002112622,0.0001681851,0.0002924619,0.00237078],"category_scores_gemma":[0.0001058341,0.00008339394,0.0001485518,0.00005673041,0.0002496435,0.0001469354,0.0001478485,0.0007442116,0.0002912934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001582969,"about_ca_system_score_gemma":0.0001871127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003712173,"about_ca_topic_score_gemma":0.0004585738,"domain_scores_codex":[0.999948,0.00000905625,0.000002798187,0.000008915149,0.00001096208,0.00002034262],"domain_scores_gemma":[0.9999666,0.000007458329,0.000006337358,0.000002162244,0.000002795527,0.00001466324],"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":[0.003006746,0.0003300811,0.0002141338,0.0001543152,0.00003377652,0.0002952643,0.00002627462,0.0003926192,0.9777188,0.001147295,0.001151347,0.01552941],"study_design_scores_gemma":[0.001014553,0.005944944,0.00290098,0.00002332688,0.0000496306,0.0007196649,0.00004582688,0.002001938,0.9711754,0.0004340654,0.01567495,0.00001468381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796509,0.005814671,0.004133542,0.0008991516,0.0006200197,0.0001115942,0.0002679228,0.000187068,0.008315159],"genre_scores_gemma":[0.9914089,0.002225267,0.002201398,0.0002604127,0.00008987297,0.00003967535,0.0001594597,0.00001383298,0.00360127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00237078,"threshold_uncertainty_score":0.007931054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007032109302343699,"score_gpt":0.2355996067277446,"score_spread":0.2285674974254009,"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."}}