{"id":"W2885444711","doi":"10.1111/issj.12148","title":"Ghettos, banlieues – is the difference disappearing?","year":2017,"lang":"en","type":"article","venue":"International Social Science Journal","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sociology; Immigration; Working class; Quarter (Canadian coin); Population; Media studies; Political science; History; Law; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.00173602,0.0001148795,0.0001061948,0.0000728404,0.01382437,0.003876694,0.003108774,0.00006886693,0.0005068449],"category_scores_gemma":[0.001337275,0.00007771607,0.0001324322,0.00009607375,0.004862291,0.001266508,0.0002518237,0.0003282776,0.0000623151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227826,"about_ca_system_score_gemma":0.001061563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003923989,"about_ca_topic_score_gemma":0.001487921,"domain_scores_codex":[0.9970269,0.0000812603,0.0002639048,0.0002327853,0.001893986,0.000501155],"domain_scores_gemma":[0.9983335,0.00006410852,0.0004334872,0.0002043092,0.0007600312,0.0002045945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001511733,0.0001097199,0.360727,0.00000203249,0.00007300715,0.00001088161,0.1893575,0.000002514699,0.002405865,0.3933565,0.02168323,0.0322566],"study_design_scores_gemma":[0.0001530451,0.000006746724,0.8112698,0.00001290586,0.000008547731,0.000009864015,0.01005796,0.00008008267,0.0003513033,0.005136346,0.1727727,0.0001406804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6935201,0.00002341881,0.0002161196,0.1525528,0.004370592,0.0001496346,0.0000154625,0.0000376,0.1491143],"genre_scores_gemma":[0.9805602,0.00006765792,0.0001216221,0.003603861,0.003331878,0.00000366572,7.392104e-7,0.000006040315,0.01230438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4505428,"threshold_uncertainty_score":0.9978459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15582114205401,"score_gpt":0.4715158018907751,"score_spread":0.3156946598367651,"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."}}