{"id":"W2012291585","doi":"10.1016/j.socscimed.2008.06.009","title":"Socioeconomic domains and associations with preterm birth","year":2008,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Socioeconomic status; Demography; Poverty; Residence; Odds; Geography; Census; Logistic regression; Medicine; Gerontology; Population; Sociology; Economic growth; Economics","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":[0.0006649408,0.0002638514,0.000307543,0.001259356,0.0006616902,0.0008179714,0.000355215,0.0005671254,0.004904395],"category_scores_gemma":[0.007359476,0.0001824656,0.0006533923,0.002145413,0.0004021536,0.0005446855,0.00112246,0.001024349,0.0002623561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003731485,"about_ca_system_score_gemma":0.0008883596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554919,"about_ca_topic_score_gemma":0.01978259,"domain_scores_codex":[0.9995123,0.0001329933,0.00007842538,0.00005494997,0.00008693424,0.0001343219],"domain_scores_gemma":[0.9959918,0.0009849565,0.001341564,0.0002285316,0.0003464477,0.001106704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000080273,0.00005459066,0.9975097,0.00001261667,0.00007849623,0.00005487901,0.00009434778,0.00004472819,0.00004256271,0.0001712231,0.0001382632,0.001718326],"study_design_scores_gemma":[0.000003297523,0.00003759188,0.9989298,0.00001403031,0.00003704806,0.00008752227,0.0003192084,0.0001158621,0.00001795297,0.0002020007,0.0002320703,0.000003504899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957313,0.0006032829,0.00005428736,0.0005307399,0.00002563422,0.000004144992,0.0008865841,0.000002900102,0.002161168],"genre_scores_gemma":[0.9989716,0.0003113213,0.00004532556,0.00003629771,0.0000228376,0.000004529317,0.0003285418,0.000001495953,0.000278033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01554919,"threshold_uncertainty_score":0.03091735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779483647722052,"score_gpt":0.3427247549873889,"score_spread":0.3149299185101683,"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."}}