{"id":"W4416655090","doi":"10.1145/3769699.3771586","title":"Towards Unsupervised Drift Detection in Programmable Data-Planes","year":2025,"lang":"","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Concept drift; Divergence (linguistics); Dual (grammatical number); Unsupervised learning; Pattern recognition (psychology); Novelty detection; Tracking (education); Artificial neural network","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":[0.00253624,0.001176592,0.001409966,0.001957876,0.0006073476,0.001546852,0.002052626,0.000791038,0.0003525349],"category_scores_gemma":[0.009007808,0.0006154059,0.0006973004,0.001716646,0.000859393,0.002471109,0.001984443,0.002189252,0.0003274163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008337891,"about_ca_system_score_gemma":0.001259862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002774969,"about_ca_topic_score_gemma":0.002485162,"domain_scores_codex":[0.9984187,0.000245561,0.0001219755,0.0004922746,0.0005519091,0.0001695978],"domain_scores_gemma":[0.9952626,0.001901223,0.0007447176,0.0009129868,0.0009604248,0.0002179593],"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":[0.0005756398,0.0003660539,0.02861672,0.0001652265,0.0002124151,0.0003758565,0.000529298,0.4584069,0.02318599,0.01016303,0.005058621,0.4723442],"study_design_scores_gemma":[0.000007576252,0.00002940396,0.0009374202,0.000005073588,0.0000065943,0.00004385772,0.00002692262,0.9881323,0.004468462,0.005665028,0.0006696563,0.000007790687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06303325,0.0002961614,0.9335626,0.0001513799,0.00005188461,0.00007467018,0.0002696871,0.002163315,0.0003970659],"genre_scores_gemma":[0.6634103,0.0002531202,0.3336743,0.0001633039,0.00008070679,0.0001614303,0.001043869,0.0002686711,0.0009443174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002774969,"threshold_uncertainty_score":0.01341307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580633752380173,"score_gpt":0.3098929665713542,"score_spread":0.2740866290475525,"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."}}