{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01708317,0.0001412596,0.0001874052,0.0003538741,0.001224777,0.0006803786,0.0005969914,0.0001201755,0.0001678081],"category_scores_gemma":[0.00128643,0.0001134172,0.0001081796,0.0004326845,0.0002675713,0.0007169184,0.00008495721,0.001685892,0.00001309603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007282409,"about_ca_system_score_gemma":0.0008189181,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797718,"about_ca_topic_score_gemma":0.1593002,"domain_scores_codex":[0.9955619,0.001321627,0.0003854659,0.0002666119,0.0008140989,0.001650318],"domain_scores_gemma":[0.9991319,0.0003742343,0.0001306133,0.0001479496,0.0001148669,0.000100416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001538492,0.0002531843,0.2857729,0.0001153769,0.0001229201,0.00002583521,0.1052449,0.00000550487,0.0002611962,0.3067444,0.01014757,0.2911524],"study_design_scores_gemma":[0.001554231,0.0002815554,0.26898,0.0002326023,0.0001066696,0.00009258824,0.1335675,0.0002610877,0.000051717,0.5826818,0.01165708,0.0005331964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9686032,0.001490561,0.002037325,0.01787797,0.0003177246,0.0002333973,0.000001070758,0.00002032749,0.009418428],"genre_scores_gemma":[0.9920679,0.004974423,0.00004301404,0.0003207739,0.0005543262,0.00000998589,0.000002415886,0.00001520873,0.002012004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2906192,"threshold_uncertainty_score":0.9420122,"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."}}