{"id":"W4408831030","doi":"10.1111/ijsa.70010","title":"Asynchronous Video Interviews in Recruitment and Selection: Lights, Camera, Action!","year":2025,"lang":"en","type":"article","venue":"International Journal of Selection and Assessment","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Asynchronous communication; Selection (genetic algorithm); Psychology; Action (physics); Applied psychology; Computer science; Artificial intelligence; Telecommunications","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":[0.06952497,0.0009103414,0.0006441615,0.002269656,0.005343674,0.00647023,0.001952453,0.003058416,0.02348668],"category_scores_gemma":[0.09407134,0.0006921533,0.0006479063,0.002036095,0.004549317,0.008087623,0.00768368,0.003375204,0.008317406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003669187,"about_ca_system_score_gemma":0.005674609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003104792,"about_ca_topic_score_gemma":0.009587842,"domain_scores_codex":[0.8785287,0.1124689,0.001489458,0.00171575,0.004448457,0.001348823],"domain_scores_gemma":[0.9118258,0.07015862,0.004309428,0.003272801,0.006919592,0.003513652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009814935,0.0004066533,0.004848685,0.005149016,0.00004897649,0.0005528982,0.08697449,0.0002378871,0.002922768,0.02099488,0.1301737,0.7467085],"study_design_scores_gemma":[0.0005267359,0.001315448,0.01376521,0.01534715,0.0001109737,0.001292761,0.1150349,0.001636943,0.003894037,0.04242963,0.8043745,0.0002717781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029196,0.05038532,0.3188637,0.1786177,0.0185003,0.0186734,0.002531521,0.002117722,0.3073907],"genre_scores_gemma":[0.424258,0.02673349,0.4213579,0.04419442,0.005938336,0.02834954,0.001312287,0.0007829571,0.04707299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06952497,"threshold_uncertainty_score":0.3676876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05262229038911704,"score_gpt":0.3581778713882716,"score_spread":0.3055555809991545,"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."}}