{"id":"W4411952553","doi":"10.17705/2msqe.00111","title":"How HireVue Created “Glass Box” Transparency for its AI Application","year":2025,"lang":"en","type":"article","venue":"MIS Quarterly Executive","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Transparency (behavior); Computer science; Business; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0455135,0.0004696965,0.0003488358,0.002270309,0.007040126,0.01668495,0.002343471,0.004082891,0.009836784],"category_scores_gemma":[0.1021382,0.001173211,0.0005684556,0.001139124,0.005680876,0.01373162,0.009443018,0.006213322,0.00368007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007335188,"about_ca_system_score_gemma":0.01314099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275931,"about_ca_topic_score_gemma":0.0197036,"domain_scores_codex":[0.9632264,0.02168122,0.001310202,0.003522526,0.007151471,0.003108164],"domain_scores_gemma":[0.9187069,0.03930345,0.00223634,0.01377929,0.02014253,0.005831446],"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":[0.0006355655,0.0009753971,0.02737568,0.0004066494,0.00007333786,0.002293273,0.1314897,0.007687663,0.01276562,0.3371318,0.1141431,0.3650222],"study_design_scores_gemma":[0.0001934584,0.0005946382,0.006846577,0.0007149131,0.00005360238,0.001143198,0.05082875,0.02532701,0.01647297,0.1030369,0.7941042,0.0006838182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2512935,0.0008937361,0.3804125,0.09570347,0.002074702,0.001000267,0.0003756155,0.005983036,0.2622633],"genre_scores_gemma":[0.7657341,0.0002752127,0.1344996,0.008048584,0.000188035,0.0004269439,0.0002306786,0.001815425,0.08878139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0455135,"threshold_uncertainty_score":0.2407013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544689862204047,"score_gpt":0.2785241185243398,"score_spread":0.2630772199022993,"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."}}