{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015794,0.0001551164,0.0003155639,0.0001687584,0.00005652559,0.000008538321,0.00006373451,0.0001257357,0.0001723801],"category_scores_gemma":[0.00003817947,0.0001446369,0.0001200677,0.0002643134,0.00007472587,0.00005310775,0.00004889349,0.0001575528,0.0000235221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001802418,"about_ca_system_score_gemma":0.00008650642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008108991,"about_ca_topic_score_gemma":0.00001004265,"domain_scores_codex":[0.9988852,0.00004512554,0.000336341,0.0002615164,0.0002224322,0.0002493762],"domain_scores_gemma":[0.9994084,0.00003193158,0.0001005348,0.0003368586,0.00005084497,0.00007148871],"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":[0.0001727805,0.0005974281,0.003809143,0.0009727674,0.00002434853,0.00003141283,0.0003037683,0.00004796252,0.9804233,0.001197208,0.007747447,0.004672411],"study_design_scores_gemma":[0.005173891,0.0001819957,0.01072433,0.000370866,0.0007333782,0.000008485062,0.0005405097,0.00002282233,0.9712642,0.0003487751,0.01043929,0.0001914057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421358,0.002338334,0.0001387998,0.000640219,0.0002842455,0.0003228773,0.000006300394,0.00006125019,0.05407217],"genre_scores_gemma":[0.9919772,0.0004117277,0.0009298284,0.0004307999,0.0001044898,0.000009605723,0.00003810711,0.00001888223,0.006079343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04984141,"threshold_uncertainty_score":0.589812,"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."}}