{"id":"W4412598644","doi":"10.5267/j.ac.2025.5.005","title":"Effect of health expenditure on maternal and child health in Nigeria","year":2025,"lang":"en","type":"article","venue":"Accounting","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Child health; Maternal health; Medicine; Pediatrics; Health services; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003523079,0.0001723084,0.0006266331,0.0002419152,0.000536542,0.000009319422,0.0001462988,0.0001457168,0.000045348],"category_scores_gemma":[0.0002779039,0.0001476693,0.00003131555,0.0002661714,0.00002979401,0.00009111024,0.0001273384,0.000647622,0.00004645487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578694,"about_ca_system_score_gemma":0.0003221386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005399471,"about_ca_topic_score_gemma":0.001613171,"domain_scores_codex":[0.9968641,0.001065702,0.000882165,0.0003060902,0.0001863934,0.0006955464],"domain_scores_gemma":[0.9984561,0.0006792734,0.0004877991,0.0002531256,0.00004139274,0.00008234594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002035976,0.00002858516,0.9402606,0.005997082,0.00001159385,0.000002600235,0.00277222,0.000007632293,0.00000751608,0.001580111,0.01453319,0.0345953],"study_design_scores_gemma":[0.002227338,0.0005894285,0.9608474,0.01381992,0.000003722881,0.000002317066,0.001567599,0.00004589987,0.0001590408,0.0003078976,0.02027187,0.0001575526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977679,0.003779078,0.00001379662,0.01016727,0.001180847,0.00121334,0.00001791315,0.00006784903,0.005880929],"genre_scores_gemma":[0.9904245,0.0002651166,0.00008866659,0.008903909,0.0001294576,0.00004600224,0.0000102397,0.00001665741,0.0001155247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03443775,"threshold_uncertainty_score":0.816242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01319927349499413,"score_gpt":0.4321593087384616,"score_spread":0.4189600352434675,"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."}}