{"id":"W3203294750","doi":"10.1111/ijsa.12349","title":"Self‐verification behavior as an employment interview tactic","year":2021,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Social and Intergroup Psychology","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Impression management; Social psychology; Construct (python library); Honesty; Confirmatory factor analysis; Job interview; Self-monitoring; Impression formation; Applied psychology; Structural equation modeling; Perception; Social perception; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02276186,0.0002300741,0.0002280407,0.001021268,0.0008709278,0.00104368,0.0004878827,0.0004351008,0.001016176],"category_scores_gemma":[0.07560342,0.0002041887,0.0002096719,0.0004812763,0.0009991647,0.0007613244,0.001262748,0.0007186469,0.0001837133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006265896,"about_ca_system_score_gemma":0.0007801697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005483888,"about_ca_topic_score_gemma":0.001338804,"domain_scores_codex":[0.9795409,0.01679175,0.0008993851,0.0005239492,0.001881348,0.0003626266],"domain_scores_gemma":[0.8403314,0.1240324,0.0222409,0.005870179,0.006325227,0.001199899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000905124,0.0005728024,0.7718004,0.0004916673,0.0001012033,0.0002792832,0.08238238,0.0004097722,0.02592765,0.002114923,0.0007673479,0.1142476],"study_design_scores_gemma":[0.00003592065,0.001199095,0.9163541,0.0003370244,0.00007014535,0.0007607648,0.0441872,0.006497858,0.02390867,0.002244212,0.0043106,0.00009430828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945557,0.00006974147,0.003270836,0.00009643185,0.00001357514,0.00009655701,0.00002679609,0.00002189659,0.001848419],"genre_scores_gemma":[0.9968641,0.00003278042,0.002595291,0.00006245812,0.000009584146,0.0001105746,0.000027565,0.000004053475,0.0002935596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02276186,"threshold_uncertainty_score":0.1203776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05337501391978959,"score_gpt":0.4561659425718923,"score_spread":0.4027909286521027,"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."}}