{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003699202,0.0001302841,0.000458784,0.0002710067,0.0001275114,0.00000119205,0.00008503873,0.00005076261,0.00001431695],"category_scores_gemma":[0.00007900011,0.00008954175,0.00001774714,0.0001343379,0.00007388046,0.00003855644,0.00007769156,0.0003817289,0.000001385513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001351546,"about_ca_system_score_gemma":0.00008121804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006381438,"about_ca_topic_score_gemma":0.0001143309,"domain_scores_codex":[0.9985463,0.0001281861,0.0006076385,0.0001973798,0.0001803648,0.0003401387],"domain_scores_gemma":[0.9990852,0.0002763987,0.0002235151,0.0001277872,0.00001845779,0.0002685955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000585788,0.00005120129,0.9396251,0.001401586,0.000001270315,0.000005858042,0.001606326,8.735615e-8,0.00001269733,0.00181703,0.0001546717,0.05526552],"study_design_scores_gemma":[0.001715431,0.0004134404,0.9907402,0.0008048899,0.000005472893,0.000002178811,0.0004703882,0.00003719509,0.000001065346,0.005455346,0.0002801011,0.00007431296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535393,0.009298129,0.0000732218,0.03482172,0.0002153218,0.0005604951,0.00003297682,0.00002282965,0.001435991],"genre_scores_gemma":[0.9792407,0.01556697,0.0001250612,0.004654994,0.0002439453,0.000002928207,0.000008187638,0.000006523622,0.0001506883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05519121,"threshold_uncertainty_score":0.3651407,"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."}}