{"id":"W2744716633","doi":"10.1177/2332649217715480","title":"Born Poor? Racial Diversity, Inequality, and the American Pipeline","year":2017,"lang":"en","type":"article","venue":"Sociology of Race and Ethnicity","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; Pennsylvania State University; Stanford University","keywords":"Poverty; Disadvantaged; Demography; Quarter (Canadian coin); Inequality; American Community Survey; Disadvantage; Demographic economics; Race (biology); White (mutation); Poverty level; Ethnic group; Geography; Political science; Economics; Economic growth; Population; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091695,0.00007012155,0.0001306766,0.0009851772,0.002540142,0.001798684,0.0002345583,0.0004467813,0.003730666],"category_scores_gemma":[0.00254919,0.00007523787,0.0001037469,0.00116971,0.001360974,0.002490652,0.0015392,0.0008212646,0.0001819111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009125237,"about_ca_system_score_gemma":0.001027787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01732757,"about_ca_topic_score_gemma":0.0341539,"domain_scores_codex":[0.9996732,0.0001188605,0.000005828725,0.00002166708,0.00004257253,0.0001378841],"domain_scores_gemma":[0.9991334,0.0002554924,0.0001716597,0.00003478965,0.00007390594,0.0003307616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001032088,0.0002702442,0.6175734,0.00005841047,0.00003831532,0.0002881446,0.05377239,0.0001691869,0.0001951371,0.1458345,0.05029355,0.1314036],"study_design_scores_gemma":[0.00001560167,0.000116435,0.6869118,0.0004581432,0.00004075072,0.0004205822,0.1300345,0.0006018581,0.0002249929,0.06578618,0.1153622,0.00002691707],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8707376,0.004391829,0.0002566092,0.06583183,0.0001558927,0.000007278472,0.0001938189,0.000006933017,0.05841826],"genre_scores_gemma":[0.9935648,0.00188611,0.0001044697,0.002507254,0.0001104153,0.00000657898,0.00003814355,0.000003069247,0.00177922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01732757,"threshold_uncertainty_score":0.03445345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06399789913998229,"score_gpt":0.3702560913412028,"score_spread":0.3062581922012205,"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."}}