{"id":"W7005864553","doi":"","title":"The Spatial Separation of the Poor in Canadian Cities<sup xmlns:m=\"http://www.w3.org/1998/Math/MathML\" xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">*</sup>","year":2000,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Separation (statistics); Index of dissimilarity; Census; Ethnic group; Spatial mismatch; Spatial distribution; Spatial ecology","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":[0.0004273544,0.0001789349,0.0002678008,0.003473695,0.003530385,0.001155499,0.0005209682,0.0001883573,0.003470897],"category_scores_gemma":[0.001893847,0.0002280433,0.0002954745,0.004984636,0.0008209727,0.000299296,0.001361954,0.0003572124,0.0003117461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007944193,"about_ca_system_score_gemma":0.008092551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9512681,"about_ca_topic_score_gemma":0.9838153,"domain_scores_codex":[0.999321,0.00005527238,0.00003195831,0.0001125175,0.0001989499,0.0002803846],"domain_scores_gemma":[0.9989793,0.0001051985,0.0002125843,0.00007240194,0.0004598315,0.0001707445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003709889,0.0000273606,0.952189,0.0001141956,0.0001002843,0.0001200776,0.004278496,0.001012773,0.001982662,0.003331113,0.005705878,0.03076709],"study_design_scores_gemma":[0.000003398249,0.000007303546,0.9953216,0.00001707704,0.00001443575,0.00004518037,0.00139997,0.0002339056,0.0002551186,0.0001831385,0.002507233,0.00001167639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855766,0.0005820584,0.0003924336,0.0002099663,0.00000692378,0.00001960912,0.006596798,0.00001951457,0.006596138],"genre_scores_gemma":[0.9944048,0.0003866319,0.0009272557,0.00003181122,0.000002904742,0.00001623866,0.002617632,0.00001037463,0.001602306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04873186,"threshold_uncertainty_score":0.09803766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097630113697206,"score_gpt":0.2307278172892887,"score_spread":0.2197515161523166,"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."}}