{"id":"W4415883602","doi":"10.1109/tcomm.2025.3628766","title":"2D-AoI: Age-of-Information of Distributed Sensors for Spatio-Temporal Processes","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Communications","topic":"Age of Information Optimization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Deutsche Forschungsgemeinschaft","keywords":"Covariance; Wireless sensor network; Offset (computer science); Gaussian; Measure (data warehouse); Network topology; Gaussian process; Exponential function","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005700454,0.0003492593,0.0005242511,0.001013335,0.0008828564,0.0002106626,0.002449571,0.0002742711,0.00004563693],"category_scores_gemma":[0.0002168811,0.0004029587,0.000289603,0.002905051,0.0005292519,0.003044921,0.0000334579,0.0003780017,0.00002317011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211617,"about_ca_system_score_gemma":0.001227844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122502,"about_ca_topic_score_gemma":0.0001865427,"domain_scores_codex":[0.9966954,0.0002081697,0.002068115,0.0002580372,0.0004458963,0.0003243626],"domain_scores_gemma":[0.9919537,0.001117947,0.001285135,0.00284984,0.002693531,0.00009984826],"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":[0.000383933,0.001912916,0.00006459146,0.002822899,0.0005406579,2.660398e-7,0.01016568,0.8587571,0.0001093609,0.0350279,0.001940195,0.08827448],"study_design_scores_gemma":[0.001856481,0.0003538651,0.0001589938,0.0008905117,0.0002867955,0.000003501558,0.001184754,0.9507933,0.02403328,0.001447182,0.01852394,0.0004673429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003900956,0.0001564536,0.9900017,0.003153005,0.0006398761,0.001748651,0.001471374,0.0001480428,0.002290848],"genre_scores_gemma":[0.8589941,0.0008935523,0.1383003,0.0001287009,0.000008563351,0.0003172928,0.0009815922,0.0000148145,0.0003611319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.858604,"threshold_uncertainty_score":0.9998422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606557818248501,"score_gpt":0.2833320076421442,"score_spread":0.2572664294596592,"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."}}