{"id":"W4415759986","doi":"10.55041/ijsrem53352","title":"Interview Assistant -- AI Powered Interview Preparation and Assessment Platform","year":2025,"lang":"","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Analytics; Job interview; Natural language; Sentiment analysis; Cloud computing; Natural language understanding; Language technology; Facial expression","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":[0.01207496,0.0002294171,0.0004088054,0.003280529,0.000200374,0.0008336605,0.0003356027,0.0001170012,0.0002100058],"category_scores_gemma":[0.00006186633,0.0002130887,0.0001478684,0.00101781,0.0002665693,0.0004248837,0.0003742534,0.001060492,0.00001240802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003226093,"about_ca_system_score_gemma":0.0001077012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006828061,"about_ca_topic_score_gemma":0.00002043488,"domain_scores_codex":[0.9964167,0.0005117062,0.001276459,0.0005064493,0.0008199995,0.0004686742],"domain_scores_gemma":[0.9985905,0.0002138927,0.0002158849,0.0002408661,0.0005664919,0.0001723881],"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":[0.0005577268,0.001736255,0.000358901,0.00912354,0.001554588,0.0004428183,0.002281335,0.0004532365,0.001267412,0.143296,0.01938689,0.8195413],"study_design_scores_gemma":[0.008771276,0.001813265,0.07662512,0.05781319,0.0002942389,0.0004793618,0.005744162,0.04174013,0.0002526418,0.0135702,0.7921645,0.0007319258],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4797377,0.08002578,0.245116,0.06140095,0.04505986,0.005662934,0.0001225384,0.00009454057,0.0827797],"genre_scores_gemma":[0.9857139,0.009318941,0.001210495,0.0001400516,0.00007246816,0.00003466392,0.00001381075,0.00001384838,0.003481794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8188094,"threshold_uncertainty_score":0.8689503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103457982368587,"score_gpt":0.4488760588238344,"score_spread":0.3385302605869757,"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."}}