{"id":"W2974581159","doi":"10.1108/md-01-2018-0088","title":"Personal characteristics and applicants’ perceptions of procedural fairness in a selection context","year":2019,"lang":"en","type":"article","venue":"Management Decision","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Conscientiousness; Psychology; Procedural justice; Context (archaeology); Originality; Social psychology; Test (biology); Perception; Set (abstract data type); Personnel selection; Selection (genetic algorithm); Multinational corporation; Personality; Applied psychology; Big Five personality traits; Business; Management; Computer science; Economics","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":[0.0002467253,0.0001248818,0.000198398,0.0003686034,0.00006778287,0.0001024475,0.0001068774,0.00004467306,0.0002143615],"category_scores_gemma":[0.00001710707,0.0001153897,0.00003910855,0.0003933103,0.0000251768,0.000376816,0.0001380979,0.00008264378,0.000195766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002917356,"about_ca_system_score_gemma":0.000003474595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009421769,"about_ca_topic_score_gemma":0.00007937779,"domain_scores_codex":[0.9990906,0.000005048848,0.0002559137,0.0002715283,0.0001995968,0.0001773535],"domain_scores_gemma":[0.9997068,0.00002764484,0.00009588062,0.0001054883,0.00005485432,0.000009340004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001782786,0.000109368,0.9071887,0.0004065352,0.00001764398,0.000003141847,0.0001581432,0.00001063588,0.0003071466,0.009413185,0.00128427,0.08092295],"study_design_scores_gemma":[0.001113433,0.00001864213,0.9840978,0.0002266859,0.00003027884,0.000001883323,0.001421554,0.006074512,0.000006483188,0.001533077,0.005303122,0.0001725034],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935943,0.0000122546,0.001200614,0.000171359,0.0001528234,0.0004254121,0.000001740163,0.00004408096,0.004397364],"genre_scores_gemma":[0.9988212,0.00001971215,0.0001594782,0.0003259435,0.0001073269,0.00002758893,0.00001626022,0.0000160367,0.0005064831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08075045,"threshold_uncertainty_score":0.4705454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066522606594078,"score_gpt":0.2278542094610799,"score_spread":0.2171889833951391,"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."}}