{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066503,0.00007370507,0.0001509895,0.00007770377,0.0001945607,0.00001060995,0.0001017912,0.00008738893,0.0005140275],"category_scores_gemma":[0.0005425439,0.00006604531,0.00004229947,0.0003352445,0.0002132479,0.00005450656,0.00007877989,0.0001762996,0.000002944505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007380168,"about_ca_system_score_gemma":0.00002364937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001001197,"about_ca_topic_score_gemma":0.0001238745,"domain_scores_codex":[0.998468,0.0002639897,0.000367928,0.0003329549,0.000356451,0.0002106637],"domain_scores_gemma":[0.9994806,0.00007278658,0.0001896623,0.0001332477,0.00005173475,0.00007199198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000172368,0.0009471602,0.8280963,0.0000129592,0.0000347151,0.0005143158,0.07775854,0.000006450183,0.001602521,0.02420518,0.05752521,0.009124259],"study_design_scores_gemma":[0.0002371152,0.0005417571,0.8675247,0.000008638546,0.00001179111,0.00007956763,0.01221591,0.00000122886,0.00001513292,0.05434427,0.06487067,0.0001492585],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174771,0.0001398745,0.000006005804,0.001579855,0.0009921583,0.0001995778,0.000001168484,0.00003584239,0.07956843],"genre_scores_gemma":[0.9975699,0.0001631719,0.00003243848,0.0010578,0.00008250531,0.00004519309,0.000005544486,0.00000578511,0.001037669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08009281,"threshold_uncertainty_score":0.5628241,"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."}}