{"id":"W1967925125","doi":"10.1111/j.1540-6040.2009.01306.x","title":"Mapping Public Housing: The Case of New York City","year":2010,"lang":"en","type":"article","venue":"City and Community","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Poverty; Public housing; Spatial mismatch; Subsidy; Subsidized housing; Spatial inequality; Political science; Demographic economics; Economics; Economic growth; Inequality; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007517149,0.0001703238,0.000191858,0.001800413,0.005156034,0.003631474,0.0009960481,0.00110381,0.004953005],"category_scores_gemma":[0.002477581,0.0002526175,0.0001530595,0.005017718,0.002880746,0.002704926,0.002413906,0.001008051,0.0001970506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01137132,"about_ca_system_score_gemma":0.004376779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7092615,"about_ca_topic_score_gemma":0.8618562,"domain_scores_codex":[0.9994066,0.0002311163,0.00001469714,0.00006547182,0.0001132603,0.0001688709],"domain_scores_gemma":[0.9990834,0.0003799352,0.0001429381,0.0000751957,0.0001750608,0.0001434977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000331371,0.0004519939,0.276181,0.000683401,0.0001240365,0.01147277,0.2979385,0.006863509,0.00170507,0.193985,0.07803293,0.1322303],"study_design_scores_gemma":[0.00005626557,0.00008313355,0.2921882,0.0003975847,0.00007837818,0.001166677,0.4062254,0.007209308,0.0008038388,0.009589245,0.2821056,0.00009630738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9179257,0.002069548,0.0008408474,0.008881699,0.00006979088,0.0000649286,0.0008120187,0.00003668092,0.06929879],"genre_scores_gemma":[0.9880454,0.0009215028,0.0008456621,0.0002570007,0.00002511183,0.00006609288,0.0003780942,0.00001838542,0.009442715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7092615,"threshold_uncertainty_score":0.5849015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1905460547129414,"score_gpt":0.3221899932289947,"score_spread":0.1316439385160532,"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."}}