{"id":"W4407035998","doi":"10.19044/esj.2025.v21n2p109","title":"Inégalités de Genre et Anémie des Femmes en Union dans les Provinces de Cibitoke et Kirundo (Nord-Ouest et Nord du Burundi)","year":2025,"lang":"fr","type":"article","venue":"European Scientific Journal ESJ","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Geography; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01348803,0.0004669722,0.0005050167,0.0004158599,0.001343975,0.001281669,0.0008874436,0.0001406136,0.0002445076],"category_scores_gemma":[0.0008099329,0.0003881564,0.0002562579,0.0007624408,0.0008216198,0.0005922011,0.000429926,0.001631378,0.000352819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009908858,"about_ca_system_score_gemma":0.0024232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018723,"about_ca_topic_score_gemma":0.002301186,"domain_scores_codex":[0.991381,0.004870595,0.0009780766,0.000679139,0.0007570759,0.001334134],"domain_scores_gemma":[0.9975367,0.0002536479,0.000413631,0.0005010355,0.0004184284,0.0008766077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003860395,0.001437305,0.7531748,0.001970123,0.0003997568,0.004648609,0.08207031,0.0008826677,0.01799065,0.01535544,0.07773121,0.04395305],"study_design_scores_gemma":[0.001801615,0.0004441268,0.5802477,0.003597692,0.0003899869,0.002802155,0.01398761,0.000241441,0.001187611,0.001877407,0.3929867,0.0004359455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8857644,0.00834063,0.003242742,0.03598586,0.005194945,0.0003299376,0.0001156882,0.0000960922,0.06092971],"genre_scores_gemma":[0.8996483,0.004294197,0.001798769,0.005694333,0.001278306,0.000002522657,0.00004081159,0.00006871339,0.08717402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3152555,"threshold_uncertainty_score":0.9999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03880860154360845,"score_gpt":0.3441548098312746,"score_spread":0.3053462082876661,"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."}}