{"id":"W4386526711","doi":"10.1007/s00521-023-08964-5","title":"A graph encoder–decoder network for unsupervised anomaly detection","year":2023,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Pooling; Locality; Interpretability; Graph; Laplacian matrix; Theoretical computer science; Pattern recognition (psychology); Decoding methods; Artificial intelligence; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001685697,0.0001519688,0.0001495401,0.0001055001,0.0007547918,0.0001248953,0.0003794651,0.00006092768,4.325298e-7],"category_scores_gemma":[0.00001220348,0.0001506964,0.00008130263,0.001464232,0.00004833928,0.0001733699,0.0001770908,0.0001476498,0.000009307558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000922164,"about_ca_system_score_gemma":0.000009069814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005493998,"about_ca_topic_score_gemma":0.00001350025,"domain_scores_codex":[0.9986938,0.00003566933,0.0002261469,0.0005215399,0.0001096846,0.0004131397],"domain_scores_gemma":[0.9989686,0.0003984028,0.00008665077,0.0003747458,0.00007043412,0.0001011475],"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":[0.00001309202,0.00003788373,0.001613693,0.0000472532,0.00002584565,0.000002579336,0.0001967084,0.1943434,0.002581661,0.03836946,0.002641306,0.7601271],"study_design_scores_gemma":[0.0002547709,0.00005786844,0.005146435,0.000009179587,0.000007448594,0.00001491257,0.00001197556,0.9538245,0.0001977861,0.03349597,0.006790036,0.0001891591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05056743,0.0001458042,0.9466469,0.000831485,0.0001882488,0.0005987601,0.000003601644,0.0009467526,0.00007104616],"genre_scores_gemma":[0.9701378,0.00003185706,0.02862085,0.0004617523,0.0004119742,0.0002308525,0.00001514269,0.00001855924,0.00007117078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9195704,"threshold_uncertainty_score":0.6145219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906545338469035,"score_gpt":0.2733741685162259,"score_spread":0.2543087151315355,"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."}}