{"id":"W7105811051","doi":"10.5281/zenodo.17617943","title":"Virtual Box Interview System","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Interview; Job interview; Process (computing); Semi-structured interview; Quality (philosophy); Web application; Tone (literature)","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":[0.002437632,0.0006017668,0.00067968,0.0008350095,0.0006755215,0.001108817,0.001212225,0.0008779082,0.2146221],"category_scores_gemma":[0.004652834,0.00035135,0.0003782957,0.0006085415,0.0003161815,0.001288873,0.002435741,0.0007524807,0.05927522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004594555,"about_ca_system_score_gemma":0.001180192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008018742,"about_ca_topic_score_gemma":0.0007712429,"domain_scores_codex":[0.9983293,0.0007463437,0.0001447786,0.0003316166,0.0003107137,0.0001371605],"domain_scores_gemma":[0.9973801,0.00121315,0.0001344395,0.0004375066,0.0005990369,0.000235715],"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":[0.004005443,0.00040775,0.004689391,0.001982294,0.000106457,0.0008726344,0.00278299,0.002750328,0.02423915,0.02599922,0.4543667,0.4777976],"study_design_scores_gemma":[0.0004042351,0.0004025551,0.004918922,0.0002139459,0.00005029407,0.000565406,0.000653503,0.01651234,0.01092026,0.009687399,0.9555671,0.0001040914],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03209298,0.001102802,0.612628,0.001310622,0.001407763,0.009783485,0.05820234,0.1104163,0.1730558],"genre_scores_gemma":[0.1973311,0.0007897639,0.4635351,0.002352626,0.000524257,0.01710339,0.05460981,0.006754932,0.2569991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2146221,"threshold_uncertainty_score":0.7179825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675110590629861,"score_gpt":0.2389970070934531,"score_spread":0.2022459011871545,"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."}}