{"id":"W4402592777","doi":"10.1109/icici62254.2024.00054","title":"Malpractice Detection in Examination Hall using Deep Learning","year":2024,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Law","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Malpractice; Computer science; Deep learning; Artificial intelligence; Lecture hall; Computer security; Law; Political science; Physics; Acoustics","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":[0.000552371,0.0008318119,0.0005298962,0.001633885,0.0003703847,0.0007362872,0.0009996521,0.000966706,0.00132171],"category_scores_gemma":[0.001702099,0.0001897147,0.0005552947,0.000855442,0.0001975384,0.0006070672,0.0008969328,0.000889807,0.001008674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009120839,"about_ca_system_score_gemma":0.0009195282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01209649,"about_ca_topic_score_gemma":0.02160109,"domain_scores_codex":[0.9994357,0.00008225924,0.00004501596,0.0001598126,0.0001186047,0.0001586069],"domain_scores_gemma":[0.9994405,0.0001346386,0.0001095345,0.00008011804,0.0001546525,0.00008058024],"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":[0.0009522042,0.001831842,0.09566903,0.0004437097,0.000208293,0.001511208,0.0002383809,0.03939543,0.01325058,0.0006905026,0.06303642,0.7827724],"study_design_scores_gemma":[0.00006061638,0.0004239888,0.03948614,0.0001397632,0.00008358665,0.0004366715,0.0004554322,0.9266736,0.01789271,0.001892522,0.01241047,0.00004446261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8589221,0.003584057,0.1028675,0.002765168,0.0005712595,0.0003831259,0.01104658,0.01126504,0.008595172],"genre_scores_gemma":[0.9284973,0.0007470505,0.04515709,0.0005379335,0.0001210176,0.0001258223,0.01853913,0.00006138864,0.006213331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01209649,"threshold_uncertainty_score":0.02405214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08755161786498965,"score_gpt":0.4076731116075,"score_spread":0.3201214937425104,"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."}}