{"id":"W4404117854","doi":"10.1542/peds.2023-063571","title":"State and Local Government Expenditures and Infant Mortality","year":2024,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Department of Health and Human Services","keywords":"Medicine; Demography; Per capita; Infant mortality; Local government; Environmental health; Population; Geography","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":[0.000933666,0.0001740204,0.0001429723,0.0007224132,0.0001741909,0.0003920565,0.0003381304,0.0001653895,0.003238019],"category_scores_gemma":[0.005680733,0.000111572,0.0004379904,0.001274484,0.000175664,0.0003028463,0.0005831534,0.0003680454,0.0002166986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009342244,"about_ca_system_score_gemma":0.0006803594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0340655,"about_ca_topic_score_gemma":0.04064205,"domain_scores_codex":[0.999316,0.0003050203,0.00005049037,0.000101211,0.0001158113,0.000111527],"domain_scores_gemma":[0.996089,0.0008123543,0.00210343,0.0002685155,0.000480833,0.0002459869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001042083,0.00006814142,0.9865851,0.00008186685,0.000218661,0.0000540737,0.0001701031,0.0005837576,0.00009642721,0.0004674793,0.001512068,0.01005811],"study_design_scores_gemma":[0.00000308933,0.00002738218,0.9985031,0.00002955428,0.0000465768,0.00002655486,0.00008039556,0.0002476088,0.0000676881,0.00005332478,0.0009116438,0.000003158634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913327,0.0007074529,0.0002629934,0.0005270903,0.00001496157,0.00001413533,0.003849261,0.00002187593,0.003269447],"genre_scores_gemma":[0.9973013,0.000225102,0.0001919197,0.00003134277,0.00001410851,0.00001612138,0.001633837,0.000005146536,0.0005811722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0340655,"threshold_uncertainty_score":0.06773442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463710656408903,"score_gpt":0.4194982376180982,"score_spread":0.3848611310540092,"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."}}