{"id":"W4413830730","doi":"10.1145/3764936","title":"Decentralized Model Selection for Test-Time Adaptation in Heterogeneous Connected Systems","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on the Web","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Guangdong Provincial Pearl River Talents Program","keywords":"Computer science; Adaptation (eye); Selection (genetic algorithm); Test (biology); Distributed computing; Artificial intelligence","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":[0.0001891788,0.0001111675,0.0001182557,0.0001867614,0.0003026858,0.00009668255,0.0005018685,0.00008056394,0.000008761605],"category_scores_gemma":[0.00005081196,0.0000941131,0.00007979907,0.0007239431,0.00002107223,0.00013319,0.000006702933,0.0001222998,0.00001412114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134703,"about_ca_system_score_gemma":0.00009731184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005306586,"about_ca_topic_score_gemma":0.0000670971,"domain_scores_codex":[0.9991572,0.00005282829,0.0002421584,0.0002736218,0.00009619463,0.0001779216],"domain_scores_gemma":[0.9988438,0.0004910643,0.0000607318,0.0004792165,0.0000976812,0.00002754341],"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":[0.0001054149,0.0004946272,0.00001733099,0.00004246345,0.00006373108,4.0947e-7,0.0003258201,0.8314912,0.05430566,0.06256554,0.0009970904,0.04959072],"study_design_scores_gemma":[0.000297516,0.00006108117,0.00001260309,0.00002072511,0.00001356215,0.000004662053,0.00001886211,0.962704,0.02862364,0.007210438,0.0009428815,0.00009000782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006670116,0.0000226578,0.9887911,0.003017565,0.00007766706,0.0009094903,0.00001969523,0.0003869642,0.0001047319],"genre_scores_gemma":[0.9708061,0.00004607886,0.02661285,0.0003265619,0.00000648605,0.001154476,0.000002531532,0.000008899984,0.001036054],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9641359,"threshold_uncertainty_score":0.3837821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027805220109835,"score_gpt":0.2551290940245798,"score_spread":0.2348510418234814,"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."}}