{"id":"W2613397793","doi":"10.1111/ijsa.12173","title":"Self‐efficacy and justice perceptions in personnel selection: A moderated mediation model","year":2017,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Psychology; Moderated mediation; Mediation; Perception; Economic Justice; Social psychology; Selection (genetic algorithm); Self-efficacy; Outcome (game theory); Task (project management); Sample (material); Applied psychology; Management; Political science","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":[0.006467796,0.0009425343,0.0007748654,0.001234524,0.0008684187,0.002324652,0.001278596,0.001116827,0.007764245],"category_scores_gemma":[0.01907879,0.0006322429,0.001508264,0.0006027441,0.001471599,0.001164481,0.001963908,0.001963749,0.0003939416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008618314,"about_ca_system_score_gemma":0.001934626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004786246,"about_ca_topic_score_gemma":0.003065516,"domain_scores_codex":[0.9952763,0.003029065,0.0001507842,0.0004569587,0.0005373089,0.0005494914],"domain_scores_gemma":[0.9711325,0.02197881,0.002928868,0.001208815,0.001281181,0.001469969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001277527,0.004997908,0.9172936,0.0003200786,0.001650386,0.0009378816,0.007638465,0.005571933,0.002017903,0.02625379,0.001067615,0.03097301],"study_design_scores_gemma":[0.0003966267,0.002317845,0.8670176,0.0005924322,0.001521645,0.0007685936,0.006443686,0.08484282,0.001585664,0.03227531,0.002108718,0.0001291086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903696,0.0001959197,0.003487688,0.0006792553,0.00003430704,0.000113941,0.0001169059,0.00002291911,0.004979344],"genre_scores_gemma":[0.9987273,0.0000597797,0.0006808165,0.00003945763,0.00001208634,0.0000648749,0.00003313571,0.000002488726,0.0003800144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007764245,"threshold_uncertainty_score":0.03420538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255246665812358,"score_gpt":0.3284915213653452,"score_spread":0.2959390547072216,"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."}}