{"id":"W6912870704","doi":"10.5281/zenodo.7378419","title":"Language Models for Novelty Detection in Kernel Traces","year":2023,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Novelty detection; Novelty; Kernel (algebra); Language model; Kernel method; Web application","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":[0.003228498,0.001353274,0.001176818,0.003130891,0.0006778183,0.002224205,0.001965071,0.001568064,0.003675768],"category_scores_gemma":[0.0188443,0.0004460831,0.001793603,0.002011714,0.0006376095,0.003073698,0.001840321,0.002597522,0.003527796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113343,"about_ca_system_score_gemma":0.001290425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00772492,"about_ca_topic_score_gemma":0.009864022,"domain_scores_codex":[0.9972104,0.0009659501,0.0002279778,0.0007745467,0.0005159099,0.0003051763],"domain_scores_gemma":[0.989818,0.006639539,0.0007032538,0.001263615,0.001270113,0.0003054662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002216005,0.001396653,0.06182534,0.001308137,0.001012702,0.001143725,0.001257386,0.2406811,0.01797573,0.05644861,0.07637282,0.5383618],"study_design_scores_gemma":[0.00004385207,0.00009127099,0.002335102,0.00003712393,0.00004414486,0.000188145,0.00006739284,0.9608878,0.001696835,0.03003297,0.00453896,0.00003641526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1123391,0.002336477,0.8442556,0.001506425,0.0003449623,0.0002769775,0.01753988,0.01822416,0.003176331],"genre_scores_gemma":[0.7927849,0.0009271939,0.1605102,0.0005713006,0.0004896394,0.0007183409,0.03524707,0.00134369,0.007407704],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00772492,"threshold_uncertainty_score":0.01707417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554248652980256,"score_gpt":0.2530205557107239,"score_spread":0.2374780691809213,"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."}}