{"id":"W4306155676","doi":"10.1177/00332941221092666","title":"Job Type, Religion, and Muslim Gender as Predictors of Discrimination in Employment Settings","year":2022,"lang":"en","type":"article","venue":"Psychological Reports","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Psychology; Guard (computer science); Position (finance); Intersectionality; Social psychology; Job security; Demographics; Security guard; Employment discrimination; Psychological intervention; Gender discrimination; Religious discrimination; Political science; Sociology; Gender studies; Demographic economics; Law; Work (physics); Business; Computer security; Demography","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":[0.002136829,0.0001653563,0.0001657278,0.0004861499,0.0008349335,0.0006637682,0.0003150585,0.0003812134,0.003950057],"category_scores_gemma":[0.006791672,0.0001378845,0.0003471455,0.0002887889,0.0005387253,0.0003239969,0.0007768825,0.0007178868,0.0002512886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433101,"about_ca_system_score_gemma":0.0004628109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00385944,"about_ca_topic_score_gemma":0.008301171,"domain_scores_codex":[0.9991937,0.0003935221,0.00005493958,0.0000471079,0.0001663966,0.0001442823],"domain_scores_gemma":[0.9940055,0.001908809,0.001997366,0.0002378667,0.000352639,0.001497904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007307619,0.0001172858,0.9968426,0.00000861865,0.00001640938,0.0000577009,0.0006487137,0.00002481294,0.0001185592,0.00005171506,0.00006130098,0.001979095],"study_design_scores_gemma":[0.000004272864,0.0001249437,0.9965135,0.00002047584,0.000007350538,0.0001048178,0.00282392,0.0001596399,0.00004029243,0.00006107024,0.0001362044,0.000003378138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993448,0.00006349974,0.00002405484,0.00007366997,0.000006495021,0.000003585811,0.00001469298,5.395884e-7,0.0004687127],"genre_scores_gemma":[0.9997777,0.00002638401,0.0000309826,0.00001700138,0.000004064241,0.00000226415,0.00001208771,4.174459e-7,0.0001291292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003950057,"threshold_uncertainty_score":0.01321429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305903083854537,"score_gpt":0.3771423683449867,"score_spread":0.3340833375064414,"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."}}