{"id":"W1996669327","doi":"10.1007/s12134-014-0402-0","title":"Understanding Immigrant Population Growth Within Urban Areas: A Spatial Econometric Approach","year":2014,"lang":"en","type":"article","venue":"Journal of International Migration and Integration / Revue de l integration et de la migration internationale","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Immigration; Geography; Socioeconomic status; Demographic economics; Metropolitan area; Census; Population; Census tract; Unemployment; Socioeconomics; Demography; Economic geography; Economic growth; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004722131,0.0003717782,0.000469216,0.001539118,0.0005215558,0.0009841997,0.0004658393,0.0003060956,0.0002353812],"category_scores_gemma":[0.006583682,0.0003507542,0.0002828991,0.0006185208,0.0002587215,0.002167183,0.00004009384,0.0006611432,0.000009166446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770413,"about_ca_system_score_gemma":0.000388752,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007368521,"about_ca_topic_score_gemma":0.02009197,"domain_scores_codex":[0.9953602,0.001367718,0.001548884,0.0004245292,0.0009848342,0.000313815],"domain_scores_gemma":[0.9945644,0.001434526,0.001687935,0.0001750705,0.001875414,0.0002626347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000271517,0.000396109,0.08906412,0.00002447362,0.0002188629,0.000003974684,0.03641061,0.001807897,0.001318566,0.861113,0.007139488,0.002231447],"study_design_scores_gemma":[0.00501595,0.001289409,0.240265,0.001049183,0.0003085746,0.0005928097,0.04214172,0.5400748,0.002441313,0.08196201,0.08320354,0.001655663],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1374908,0.0001730357,0.8157476,0.01186973,0.001429043,0.0004199284,0.0000384973,0.0001020037,0.03272934],"genre_scores_gemma":[0.9843054,0.001532397,0.008795593,0.001251724,0.001613275,0.00006311238,0.0003145667,0.00003937479,0.00208452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8468146,"threshold_uncertainty_score":0.9998944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.046402059802965,"score_gpt":0.2933646140112608,"score_spread":0.2469625542082959,"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."}}