{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004467779,0.0001179698,0.0001814161,0.0007151566,0.0001024559,0.000340261,0.0001065875,0.00004773642,0.0001267792],"category_scores_gemma":[0.00002677498,0.0001026752,0.00005148688,0.0002852956,0.00002088168,0.0007292957,0.0000589046,0.0002643266,0.000004004816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002466972,"about_ca_system_score_gemma":0.00006935768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002972611,"about_ca_topic_score_gemma":0.0006291333,"domain_scores_codex":[0.9990489,0.00002307057,0.0004263749,0.0001537184,0.0002331747,0.0001147887],"domain_scores_gemma":[0.9993404,0.000036792,0.0002774152,0.00002880775,0.000301247,0.0000153677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004579955,0.0007615362,0.4203233,0.0002078615,0.0007323453,0.00004036247,0.0002837015,0.0005005046,0.005946182,0.04672106,0.01670902,0.5073161],"study_design_scores_gemma":[0.003773663,0.0001657877,0.3572235,0.0008578097,0.0001267778,0.0002056239,0.0009676736,0.007820818,0.0009253456,0.009664705,0.6179256,0.0003426179],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585021,0.0006288342,0.01218316,0.01249507,0.00273536,0.0002834328,9.026079e-7,0.00004454066,0.01312662],"genre_scores_gemma":[0.9964579,0.000585723,0.0006626093,0.001182868,0.0007412465,0.00001535532,0.000002441567,0.000007453496,0.0003444401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6012167,"threshold_uncertainty_score":0.4186974,"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."}}