{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002540634,0.0009681309,0.0004430725,0.0008511077,0.0004881202,0.001390905,0.001679721,0.0007392858,0.02979822],"category_scores_gemma":[0.005430064,0.0003553238,0.0005216062,0.0004072356,0.0003120911,0.001790219,0.003300673,0.001248881,0.02124502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005217817,"about_ca_system_score_gemma":0.001232339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002473,"about_ca_topic_score_gemma":0.0008575239,"domain_scores_codex":[0.9981449,0.0006753907,0.0001313541,0.0004531421,0.0004266517,0.0001685189],"domain_scores_gemma":[0.9964414,0.001163798,0.0002319919,0.0005719532,0.0008523253,0.0007384961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004247092,0.0009005867,0.009271103,0.001735718,0.0001954092,0.001331952,0.006047978,0.003649922,0.1157881,0.01725498,0.1833425,0.6562346],"study_design_scores_gemma":[0.0005187457,0.001327399,0.01435124,0.0004218031,0.0001566286,0.001296121,0.002291671,0.144742,0.1211503,0.01683917,0.696541,0.0003639216],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05192354,0.0003870328,0.701298,0.001104845,0.000451939,0.004335126,0.007137739,0.1920572,0.04130469],"genre_scores_gemma":[0.3575278,0.0003788625,0.5426179,0.001853887,0.0004328064,0.004734718,0.01294724,0.004947898,0.07455895],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02979822,"threshold_uncertainty_score":0.09968495,"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."}}