{"id":"W4387638805","doi":"10.1007/s10869-023-09918-3","title":"Impression Management Profiles in Job Interviews: Relations with Applicant Individual Differences and Interview Outcomes","year":2023,"lang":"en","type":"article","venue":"Journal of Business and Psychology","topic":"Personality Traits and Psychology","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; Université de Montréal; University of Calgary","funders":"","keywords":"Psychology; Impression management; Construct (python library); Social psychology; Industrial and organizational psychology; Applied psychology; Job interview; Interview; Personality; Personnel selection; Management","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":[0.007182137,0.0002650339,0.0002942322,0.001275378,0.001461586,0.001867154,0.0004950818,0.0008582073,0.001980094],"category_scores_gemma":[0.0394196,0.0002014274,0.0004314511,0.000872938,0.0004799222,0.001094132,0.001728492,0.001175413,0.0005202093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006152927,"about_ca_system_score_gemma":0.0007019623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104158,"about_ca_topic_score_gemma":0.004725569,"domain_scores_codex":[0.9966124,0.001751819,0.0003231136,0.0001874617,0.0006784846,0.0004466772],"domain_scores_gemma":[0.9671853,0.01720716,0.007755418,0.001174163,0.003354894,0.003323067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005300252,0.0004378974,0.9855024,0.00002694015,0.0000382638,0.00009986359,0.00526199,0.00008577228,0.0008513249,0.00008674942,0.0001658671,0.006912868],"study_design_scores_gemma":[0.00001060617,0.000293763,0.9917242,0.00001801541,0.00001676649,0.00009149878,0.006662297,0.0003613264,0.0004618512,0.0001206879,0.0002270036,0.00001203924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987022,0.00005238808,0.0001109158,0.00005042809,0.00001004279,0.00002106804,0.00004995246,0.000003058871,0.001000023],"genre_scores_gemma":[0.9993395,0.00002467382,0.0001243097,0.00002306581,0.000009617956,0.00002563155,0.00009501667,0.00000239261,0.0003557679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007182137,"threshold_uncertainty_score":0.03798324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09348962170691008,"score_gpt":0.3757349066722429,"score_spread":0.2822452849653329,"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."}}