{"id":"W4288075268","doi":"10.18280/ts.390314","title":"A Deep Learning Powered System to Lie Detection While Online Study","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cheating; Computer science; Usability; Predictability; Deep learning; Artificial intelligence; Lying; Coronavirus disease 2019 (COVID-19); Online learning; Machine learning; Human–computer interaction; Multimedia; Psychology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006684338,0.0006163662,0.0003982011,0.0006865044,0.0002912009,0.0004002332,0.001403842,0.0007474757,0.004114192],"category_scores_gemma":[0.00211485,0.0002802949,0.000265201,0.0002976629,0.0002532672,0.001004393,0.001377257,0.001046677,0.001952107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084046,"about_ca_system_score_gemma":0.0004684089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001810283,"about_ca_topic_score_gemma":0.003198213,"domain_scores_codex":[0.9996085,0.00007468413,0.0000169922,0.0001355869,0.0001146939,0.00004964543],"domain_scores_gemma":[0.9994434,0.0001647555,0.00006290941,0.0001190279,0.0001404026,0.00006956016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009872164,0.00169297,0.009904681,0.0002079875,0.0002060478,0.0004946652,0.0002384859,0.05038654,0.06467913,0.004243166,0.02886796,0.8380912],"study_design_scores_gemma":[0.00004009933,0.0002252626,0.00229643,0.00001964829,0.00002119389,0.000175151,0.00002375413,0.9673849,0.02102648,0.003322551,0.005437208,0.00002730539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1173792,0.0004923224,0.8344612,0.0008572689,0.0003010106,0.0004473902,0.00138932,0.03736268,0.007309643],"genre_scores_gemma":[0.7278602,0.000137326,0.2585812,0.0008829834,0.00009801389,0.0003582437,0.001742732,0.000399551,0.009939753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004114192,"threshold_uncertainty_score":0.01376331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486532781128057,"score_gpt":0.2448745417916728,"score_spread":0.2300092139803922,"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."}}