{"id":"W2313835535","doi":"10.2139/ssrn.2534977","title":"Better Residential than Ethnic Discrimination! Reconciling Audit's Findings and Interviews' Findings in the Parisian Housing Market","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"Agence Nationale de la Recherche","keywords":"Ethnic discrimination; Ethnic group; Audit; Business; Housing discrimination; Demographic economics; Accounting; Sociology; Psychology; Political science; Economics; Economic growth; Law","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":[0.005845944,0.0002356376,0.0002912473,0.001595035,0.006250828,0.006102462,0.001034503,0.001911637,0.008700952],"category_scores_gemma":[0.01256531,0.0002360753,0.0002250157,0.002915697,0.01241414,0.007192143,0.004013864,0.001962733,0.0003376057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006410703,"about_ca_system_score_gemma":0.004542908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1331856,"about_ca_topic_score_gemma":0.2033299,"domain_scores_codex":[0.9944447,0.003657387,0.0001271937,0.0002341684,0.0004818145,0.00105481],"domain_scores_gemma":[0.9912491,0.005649071,0.001330779,0.0003928544,0.0009001308,0.0004779879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002301848,0.0001054539,0.105588,0.000209887,0.00002394341,0.001271579,0.7577324,0.0003144395,0.0005063068,0.09515481,0.008969301,0.02989366],"study_design_scores_gemma":[0.000006700169,0.00002280367,0.06833005,0.0001065328,0.000007620243,0.0001110016,0.9149706,0.0001311,0.0001589212,0.002603801,0.01353444,0.00001646437],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506257,0.0007227106,0.0003938848,0.01717301,0.00006479142,0.00001060775,0.00006389883,0.000007148672,0.03093816],"genre_scores_gemma":[0.9979163,0.00009521827,0.00004564877,0.0005931629,0.00001903674,0.000004349786,0.000006030861,0.00000424437,0.001316056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1331856,"threshold_uncertainty_score":0.2648207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320098814488093,"score_gpt":0.3412514270062195,"score_spread":0.3080504388613386,"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."}}