{"id":"W4293222331","doi":"10.3390/s22176389","title":"Implementation of an Intelligent Exam Supervision System Using Deep Learning Algorithms","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"Qassim University","keywords":"Cheating; Computer science; Task (project management); Convolutional neural network; Artificial intelligence; Deep learning; Machine learning; Frame (networking); Algorithm; Identification (biology); Engineering; Psychology","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":[0.0002554087,0.00006598564,0.00012169,0.0001057243,0.00009961909,0.00001012025,0.00006500546,0.00001329175,0.000237508],"category_scores_gemma":[0.000006535977,0.00006857471,0.00004470339,0.0002018903,0.00000943927,0.00003856232,0.00002898972,0.0001349708,0.000003500282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009443473,"about_ca_system_score_gemma":0.000005123204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003853805,"about_ca_topic_score_gemma":0.000005151599,"domain_scores_codex":[0.9992363,0.0000971536,0.0002030836,0.0001021018,0.0002334134,0.0001279616],"domain_scores_gemma":[0.9997799,0.00002019558,0.00002989945,0.00009581224,0.00001913011,0.00005507234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[6.920482e-7,0.000007859166,0.001183223,0.00006506505,0.00003411434,0.00001019768,0.001429351,0.8692594,0.006225333,0.00001610507,0.0000049094,0.1217638],"study_design_scores_gemma":[0.0000831257,0.00002210892,0.0001937209,0.00001149899,0.00003321173,0.00001116837,0.02825226,0.9625632,0.008414356,0.000002638404,0.0003417862,0.00007091038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894683,0.0001151885,0.00999378,0.000005691325,0.0001535458,0.00004219645,0.000003047739,0.0001260964,0.00009218251],"genre_scores_gemma":[0.998138,0.0000103531,0.001740319,0.000004652371,0.00004358177,0.000002680717,0.00002555174,0.00001716267,0.00001776774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216929,"threshold_uncertainty_score":0.2796396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822067615977138,"score_gpt":0.277963696062659,"score_spread":0.2597430199028876,"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."}}