{"id":"W6987699410","doi":"","title":"Transformation of Latino Neighborhoods in the Tucson Metropolitan Area from 1990-2010","year":2014,"lang":"en","type":"article","venue":"Arizona State University Library Digital Repository (Arizona State University)","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Ethnic group; Population; Megacity; Renting; Urbanization; Ethnic composition; Quarter (Canadian coin)","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":[0.0003747979,0.0002064217,0.0001793832,0.001136483,0.001312026,0.00103697,0.0005569917,0.000321303,0.001378175],"category_scores_gemma":[0.0009312198,0.0001154118,0.000170104,0.001532621,0.000514515,0.0004900794,0.00119654,0.0005048407,0.0001101552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004111764,"about_ca_system_score_gemma":0.001624262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2980733,"about_ca_topic_score_gemma":0.5071847,"domain_scores_codex":[0.9997991,0.00003178838,0.0000140255,0.00003731767,0.00004706529,0.0000706657],"domain_scores_gemma":[0.9995621,0.00002838072,0.0001517381,0.00001737604,0.0001279253,0.0001125039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002179497,0.0001529116,0.9745948,0.00005994302,0.00005560147,0.0003825595,0.008497288,0.0002667288,0.0008773367,0.0002041999,0.001576944,0.01311377],"study_design_scores_gemma":[0.000001703688,0.00002089353,0.9929625,0.00001247541,0.000009418511,0.00005058947,0.005859462,0.00007976729,0.0001182844,0.00001039157,0.0008720558,0.000002447961],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987987,0.000163938,0.00002264241,0.0000763434,0.000006727404,0.000008142628,0.000269145,0.000002617123,0.0006516684],"genre_scores_gemma":[0.9989084,0.0001406382,0.00003897957,0.00002651467,0.000004083262,0.000009641039,0.0004906915,0.000001606219,0.0003794935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2980733,"threshold_uncertainty_score":0.5926766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167327307269019,"score_gpt":0.1867106254496717,"score_spread":0.1750373523769815,"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."}}