{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001868345,0.0002866578,0.000335112,0.0009768923,0.001152686,0.0007811073,0.000534595,0.0004574856,0.002084327],"category_scores_gemma":[0.00558389,0.0003106197,0.0002051567,0.00182989,0.00103184,0.0004844259,0.0008146034,0.0004548283,0.000231777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297397,"about_ca_system_score_gemma":0.001620108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1578841,"about_ca_topic_score_gemma":0.2585094,"domain_scores_codex":[0.998769,0.0004503667,0.0001009115,0.0001792215,0.0002117132,0.0002887573],"domain_scores_gemma":[0.9981778,0.0005077025,0.0007430262,0.0001040601,0.0003397086,0.0001278253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001152089,0.00003070592,0.9872391,0.0001292378,0.00002594048,0.000130806,0.003865514,0.00003999086,0.0003607002,0.00009703994,0.0002529788,0.007712852],"study_design_scores_gemma":[0.000006545797,0.00007296868,0.9886929,0.0001249026,0.00002713841,0.0002636202,0.009368962,0.00006862033,0.0001221253,0.00004520129,0.001199224,0.000007899978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977539,0.0007287091,0.0001141801,0.0001134553,0.00001030925,0.00001567891,0.0003690782,0.000001733728,0.0008928654],"genre_scores_gemma":[0.9967806,0.001048275,0.000636839,0.0000866254,0.000007122483,0.00005228434,0.0004820938,0.000002021471,0.000903975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1578841,"threshold_uncertainty_score":0.3139303,"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."}}