{"id":"W219897613","doi":"10.2307/3341647","title":"Neighbourhood Poverty in Canadian Cities","year":2000,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Sociology; Poverty; Economic geography; Urban poverty; Regional science; Economic growth; Geography; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006440608,0.0003087393,0.0003123679,0.003265622,0.00895578,0.002588381,0.001077792,0.0006349706,0.00912963],"category_scores_gemma":[0.00286862,0.0002541401,0.0005255723,0.01024692,0.001262572,0.0007119234,0.002728307,0.000846903,0.0004118043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04360148,"about_ca_system_score_gemma":0.06002654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940647,"about_ca_topic_score_gemma":0.9965159,"domain_scores_codex":[0.9987746,0.00008354843,0.00005165381,0.0001111346,0.000441344,0.0005376792],"domain_scores_gemma":[0.9972888,0.00009158436,0.0004191169,0.00006673944,0.001295481,0.0008383101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000122671,0.0001035903,0.8381816,0.0005658612,0.00007402627,0.0008898639,0.0230697,0.0009113644,0.000187291,0.007355738,0.05410383,0.07443444],"study_design_scores_gemma":[0.00001006151,0.00002186005,0.9454261,0.0002699086,0.00002388841,0.0001749121,0.01582274,0.0002201086,0.00004685128,0.0003810194,0.03756929,0.00003314797],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047286,0.005547059,0.0002131109,0.007871241,0.0001884297,0.0001691866,0.01476977,0.00004571336,0.0664668],"genre_scores_gemma":[0.9901869,0.002307715,0.0001771192,0.000252121,0.00002184313,0.00005316489,0.001680397,0.000008288494,0.005312534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04360148,"threshold_uncertainty_score":0.3163523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586212921484968,"score_gpt":0.2735603388809273,"score_spread":0.2476982096660777,"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."}}