{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000345901,0.0001000189,0.0001284178,0.000358618,0.0004076873,0.0007530758,0.0001323035,0.00005090436,0.00004106164],"category_scores_gemma":[0.00007955515,0.00009284464,0.00003185924,0.00007800807,0.00002294642,0.00150196,0.00004697984,0.0002372873,0.000002865828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121871,"about_ca_system_score_gemma":0.00006002801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145954,"about_ca_topic_score_gemma":0.0001708071,"domain_scores_codex":[0.9991831,0.00001088079,0.0002693702,0.0001344971,0.0002951512,0.0001069789],"domain_scores_gemma":[0.9990973,0.00002316452,0.0003638805,0.00004192493,0.0004527644,0.00002094107],"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":[0.00132088,0.003592296,0.7320212,0.0004855995,0.001205497,0.00007051505,0.005791809,0.09073617,0.01764255,0.07235985,0.006475951,0.06829774],"study_design_scores_gemma":[0.002086405,0.00003613424,0.1954195,0.00007492238,0.00008734241,0.00007566356,0.0005267884,0.799244,0.00001776112,0.00125478,0.001044421,0.000132216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836856,0.00002636292,0.009292595,0.003461604,0.0006147453,0.00007967772,0.000001000241,0.00002853507,0.002809885],"genre_scores_gemma":[0.9957463,0.0002072192,0.002556081,0.00029136,0.001094456,0.000004004738,0.000003733825,0.000009767073,0.00008714867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7085079,"threshold_uncertainty_score":0.7261927,"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."}}