{"id":"W4408454829","doi":"10.1515/9781438436852-011","title":"Chapter 10 Geographic Racial Equality in America’s Most Segregated Metropolitan Area—Detroit","year":2010,"lang":"en","type":"book-chapter","venue":"SUNY Press eBooks","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Archaeology","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":[0.0001676786,0.0002607519,0.0001339746,0.0003896343,0.002046483,0.002419205,0.0003419225,0.0008756137,0.03098989],"category_scores_gemma":[0.0002357992,0.0001320116,0.0001716445,0.0007980809,0.0006396464,0.001303942,0.001052684,0.001457597,0.004842645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002764958,"about_ca_system_score_gemma":0.002444329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04578566,"about_ca_topic_score_gemma":0.1883119,"domain_scores_codex":[0.9998838,0.00001978134,0.000003586034,0.00001918023,0.00005410618,0.00001961129],"domain_scores_gemma":[0.9999509,0.000008188861,0.000003029203,0.000002902335,0.00002011846,0.00001487301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006027955,0.00002086854,0.0003811693,0.0001020495,0.000002964104,0.0001146045,0.001705901,0.00008163111,0.0003520118,0.1221321,0.7964507,0.07864997],"study_design_scores_gemma":[7.17068e-7,0.000002302333,0.0005687204,0.00007467614,0.000001198593,0.00004352702,0.0003465001,0.00002679421,0.00005186017,0.002682463,0.9961993,0.000001878056],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002307454,0.02026824,0.0004104187,0.012713,0.002793661,0.00003718353,0.0001378519,0.00003459644,0.9612976],"genre_scores_gemma":[0.01771986,0.01057121,0.000522422,0.004149125,0.0006974937,0.00004357835,0.0001755573,0.00003642069,0.9660844],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04578566,"threshold_uncertainty_score":0.1036715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05511957451287311,"score_gpt":0.2970804103111769,"score_spread":0.2419608357983038,"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."}}