{"id":"W2539388243","doi":"10.71781/28792","title":"Regulation of lipocalin 2 (Lcn2) gene expression by iron stores, anemia and inflammation","year":2004,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lipocalin; Inflammation; Gene expression; Biology; Gene; Anemia; Medicine; Bioinformatics; Immunology; Genetics; Internal medicine; Endocrinology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008667954,0.0004074962,0.0004253744,0.001361799,0.001109308,0.001789327,0.0002973438,0.0003578876,0.02181172],"category_scores_gemma":[0.001000378,0.0001944707,0.0002743453,0.001635949,0.0004880608,0.0004783645,0.000545782,0.0007963204,0.001745593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006409962,"about_ca_system_score_gemma":0.009548223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1555858,"about_ca_topic_score_gemma":0.2695732,"domain_scores_codex":[0.99976,0.00002674586,0.000009302984,0.00004135217,0.0001070507,0.00005566194],"domain_scores_gemma":[0.9991831,0.00005182151,0.00004828817,0.00002296348,0.0005038989,0.0001900243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001208852,0.0002259517,0.009174314,0.002024172,0.0001361414,0.0006847246,0.004336562,0.0007966724,0.1808997,0.03182167,0.3925983,0.376093],"study_design_scores_gemma":[0.0001339621,0.000112898,0.111812,0.0009338105,0.00009411058,0.0002818315,0.001436461,0.0005554359,0.03261444,0.00339178,0.8485691,0.00006417747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1844662,0.4243193,0.01345956,0.1458635,0.010988,0.0004509247,0.01739543,0.0008831026,0.2021739],"genre_scores_gemma":[0.2871136,0.1614109,0.01062159,0.002709543,0.002817989,0.0003574413,0.007239616,0.0002692972,0.5274599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1555858,"threshold_uncertainty_score":0.3093604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303414878938456,"score_gpt":0.3482594819692855,"score_spread":0.325225333179901,"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."}}