{"id":"W2969396216","doi":"10.1177/1178630219869922","title":"Spatiotemporal Patterns of Small for Gestational Age and Low Birth Weight Births and Associations With Land Use and Socioeconomic Status","year":2019,"lang":"en","type":"article","venue":"Environmental Health Insights","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; University of Alberta","funders":"","keywords":"Small for gestational age; Socioeconomic status; Logistic regression; Geography; Demography; Categorical variable; Low birth weight; Birth weight; Medicine; Environmental health; Pregnancy; Population; Statistics; Biology; Mathematics","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":[0.0004785164,0.0001226172,0.0001915697,0.001158273,0.0002990878,0.0006263744,0.000476564,0.0001594618,0.0009402591],"category_scores_gemma":[0.00207512,0.0001205694,0.0003346574,0.002459962,0.0003722776,0.0002280279,0.0005081929,0.0002662582,0.00008380874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403113,"about_ca_system_score_gemma":0.00104828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4500439,"about_ca_topic_score_gemma":0.5744141,"domain_scores_codex":[0.9997094,0.00006548966,0.00002515785,0.00007254785,0.00005941451,0.0000678788],"domain_scores_gemma":[0.9987797,0.0002310876,0.0005331545,0.00009087635,0.0002138231,0.0001513173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002385153,0.000003350419,0.9974248,0.00001412837,0.00004125311,0.00005560618,0.000334473,0.000245684,0.0002516096,0.0001469482,0.00009853343,0.001359625],"study_design_scores_gemma":[2.772823e-7,0.000006026376,0.9991067,0.000005911778,0.000007763761,0.0000286966,0.0003942219,0.000279646,0.00002273912,0.00002948513,0.0001164736,0.000002031236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974733,0.0002524022,0.0002749697,0.00007336621,0.000002719383,0.000007192642,0.001493072,0.000007795084,0.0004150501],"genre_scores_gemma":[0.9983156,0.000174541,0.0003178415,0.00001011397,0.00000302861,0.000008360905,0.0009461821,0.000002387593,0.0002220951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4500439,"threshold_uncertainty_score":0.8948486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216566446061531,"score_gpt":0.2698725156976337,"score_spread":0.2482158710914805,"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."}}