{"id":"W2137357503","doi":"10.1001/archpediatrics.2009.36","title":"Neighborhood Income and Health Outcomes in Infants","year":2009,"lang":"en","type":"article","venue":"Archives of Pediatrics and Adolescent Medicine","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Medicine; Demography; Poisson regression; Residence; Socioeconomic status; Confidence interval; Population; Logistic regression; Pediatrics; Household income; Environmental health; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003553807,0.0001747547,0.0001939568,0.000399483,0.0003443842,0.000397318,0.0002191964,0.0001770587,0.0008489818],"category_scores_gemma":[0.002093259,0.0000878663,0.000198791,0.0005125473,0.0001740781,0.0001603992,0.0004390786,0.0002064134,0.0000747163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052453,"about_ca_system_score_gemma":0.0006247254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.13817,"about_ca_topic_score_gemma":0.1896896,"domain_scores_codex":[0.999734,0.00005789901,0.00001471399,0.00003824844,0.00008283517,0.00007241029],"domain_scores_gemma":[0.9994466,0.00005028346,0.0002696985,0.00001642301,0.0001018148,0.0001150878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005166312,0.00001467284,0.9983366,0.000009768178,0.00002863994,0.00006296849,0.00007173582,0.00005844597,0.00005421564,0.00001942594,0.0001214786,0.001170331],"study_design_scores_gemma":[8.281702e-7,0.00001492618,0.9997467,0.000005817014,0.000006234,0.00003216297,0.00004335614,0.00005153596,0.00001018158,0.000008169524,0.00007925272,7.500998e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983215,0.0005270503,0.00003581512,0.00007218203,0.000003434842,0.000004830299,0.0004021574,0.000001749765,0.0006312859],"genre_scores_gemma":[0.9994478,0.0001518092,0.00003597459,0.000009453735,0.000002344391,0.000003870887,0.0002537232,6.09369e-7,0.00009440963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.13817,"threshold_uncertainty_score":0.2747315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03929587594510933,"score_gpt":0.3999731002483097,"score_spread":0.3606772243032004,"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."}}