{"id":"W4385078220","doi":"10.18280/isi.280328","title":"An Enhanced Outlier Detection Approach for Multidimensional Datasets Using a Synergistic Firefly and Grey Wolf Optimization-Based Method","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Firefly protocol; Anomaly detection; Outlier; Computer science; Firefly algorithm; Artificial intelligence; Data mining; Machine learning; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005385015,0.0001575382,0.0001535653,0.0003451388,0.0006154667,0.0002503905,0.0002069946,0.0001099686,0.000002931775],"category_scores_gemma":[0.0001108543,0.0001594612,0.00004504622,0.0007619836,0.00005480417,0.002435854,0.00006334158,0.0000753535,0.000004986936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198223,"about_ca_system_score_gemma":0.00006959279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004262739,"about_ca_topic_score_gemma":0.000002225854,"domain_scores_codex":[0.9988549,0.00006213844,0.000407299,0.0002640771,0.0001838586,0.0002276902],"domain_scores_gemma":[0.9989306,0.0001070247,0.0002501466,0.0003762606,0.0002441842,0.00009183036],"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":[0.00003292847,0.00004646455,0.00001597213,0.0001889488,0.00002055032,3.153692e-7,0.0009832805,0.8202413,0.02052383,0.003640498,0.00005915997,0.1542467],"study_design_scores_gemma":[0.0002740355,0.00008228285,0.0001610206,0.00001918032,0.00001308058,0.000007591526,0.0001070623,0.9766591,0.02174697,0.0004146198,0.0003273106,0.0001877942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009147926,0.00000521627,0.989234,0.00001436849,0.00007753461,0.0006560571,0.0001291244,0.0006702635,0.0000654947],"genre_scores_gemma":[0.446101,0.000001952797,0.5528156,0.00007424671,0.00002089721,0.0002787441,0.0006941839,0.000008271945,0.000005152142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.436953,"threshold_uncertainty_score":0.650264,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238434736407665,"score_gpt":0.2913992541338981,"score_spread":0.2675557804931316,"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."}}