{"id":"W4409460571","doi":"10.1145/3720548","title":"The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Autonomous and Adaptive Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Scheme (mathematics); Anomaly detection; Real-time computing; Artificial intelligence; Distributed computing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003961256,0.0002109049,0.000245852,0.0002627671,0.00103862,0.0003379542,0.0006098044,0.0001286657,0.00000151531],"category_scores_gemma":[0.0000188794,0.0001786785,0.0001152452,0.0005754507,0.00009108429,0.0002784167,0.0000301008,0.0002789351,0.000005492767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311591,"about_ca_system_score_gemma":0.0001210442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003282906,"about_ca_topic_score_gemma":0.0003901951,"domain_scores_codex":[0.9985071,0.0000797163,0.0004500779,0.0005288444,0.0001112914,0.0003229229],"domain_scores_gemma":[0.9985843,0.000370893,0.0001288399,0.0007286195,0.0001193007,0.00006805905],"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":[0.0000905921,0.0003267149,0.000197223,0.00006803279,0.0001709779,0.000003056291,0.000425165,0.002682697,0.005057487,0.2535255,0.0001656842,0.7372869],"study_design_scores_gemma":[0.001438202,0.0007655756,0.005147109,0.0002149114,0.00004005383,0.000043124,0.000846721,0.8428775,0.01494244,0.01287125,0.1201249,0.0006882426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003762083,0.0002803952,0.9916639,0.001675238,0.0004531506,0.001159314,0.000011657,0.0003450768,0.0006491993],"genre_scores_gemma":[0.9857965,0.00006039898,0.01129597,0.0001240668,0.00002776519,0.001197945,0.00000100631,0.00001416073,0.001482213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9820344,"threshold_uncertainty_score":0.798833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01358460579156999,"score_gpt":0.2610005327847511,"score_spread":0.2474159269931811,"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."}}