{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001676556,0.0001998999,0.000241091,0.0001462199,0.0002254205,0.0003313753,0.0007584015,0.0001210429,0.000002209488],"category_scores_gemma":[0.00003507962,0.0001943724,0.0001153424,0.0007081105,0.00004325774,0.0006076589,0.00001590499,0.0001169729,0.00002367417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009998911,"about_ca_system_score_gemma":0.000128542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005400893,"about_ca_topic_score_gemma":0.00005177997,"domain_scores_codex":[0.9986044,0.00005037037,0.0002639444,0.0005701269,0.0001598739,0.0003512942],"domain_scores_gemma":[0.9986694,0.0001327197,0.0001041364,0.0006750015,0.0002972414,0.0001214511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004870359,0.00032751,0.00004332661,0.0001077287,0.00009550533,0.000001567495,0.006133366,0.00001887852,0.02255561,0.5939296,0.01892938,0.3578088],"study_design_scores_gemma":[0.004285703,0.002694194,0.005472356,0.0002711494,0.0001810303,0.00001543755,0.002550698,0.2465539,0.1021603,0.1015935,0.5326809,0.001540769],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001814352,0.0001407646,0.9747764,0.0174849,0.0001077869,0.001079729,0.00007434337,0.0002012501,0.004320457],"genre_scores_gemma":[0.9878598,0.000009927658,0.005693517,0.0009395069,0.00004909999,0.000879869,0.00006196147,0.00001138509,0.004494974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9860454,"threshold_uncertainty_score":0.7926276,"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."}}