{"id":"W1920676266","doi":"10.1111/j.1467-9663.2011.00658.x","title":"CHANGES IN SPATIAL PATTERNS OF THE IMMIGRANT POPULATION OF A SOUTHERN EUROPEAN METROPOLIS: THE CASE OF THE BARCELONA METROPOLITAN AREA (2001–2008)","year":2011,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Immigration; Metropolitan area; Economic geography; Species evenness; Geography; Typology; Ethnic group; Diversity (politics); Demographic economics; Population; Variety (cybernetics); Demography; Ethnic composition; Period (music); Sociology; Statistics; Ecology; Economics; Biology; Anthropology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005251259,0.0001332575,0.0002166665,0.001493724,0.0004835902,0.001053641,0.0005416388,0.0003830529,0.001411778],"category_scores_gemma":[0.001188668,0.0001193814,0.0002716064,0.001901797,0.0005163919,0.0003100573,0.0008531359,0.0002407404,0.0002152396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551212,"about_ca_system_score_gemma":0.0004853108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1251355,"about_ca_topic_score_gemma":0.1499389,"domain_scores_codex":[0.9996506,0.0001150895,0.00002426312,0.00008542728,0.00004558542,0.00007897906],"domain_scores_gemma":[0.9992632,0.00008913144,0.0002588393,0.00007248975,0.0002082321,0.0001080994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001531492,0.00004592934,0.9906087,0.00002796688,0.00006008058,0.0003009328,0.002258807,0.0005617979,0.0004368752,0.0002431765,0.0004828561,0.004819734],"study_design_scores_gemma":[0.000002419107,0.0000149773,0.9972073,0.000006664797,0.000007768415,0.00004896025,0.002017349,0.0002661774,0.000029219,0.00001683834,0.0003788928,0.000003523521],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992971,0.00006846173,0.00002284051,0.00004136458,0.000001600633,0.000001750464,0.0001308967,0.00000265503,0.0004332582],"genre_scores_gemma":[0.9995394,0.00003398446,0.00004530464,0.000003985012,0.000001559008,0.000002536589,0.0001924147,8.6938e-7,0.0001800334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1251355,"threshold_uncertainty_score":0.2488142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139406167658027,"score_gpt":0.2498969616275635,"score_spread":0.2185028999509832,"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."}}