{"id":"W2026407209","doi":"10.1016/j.adhoc.2010.01.004","title":"A delay-aware reliable event reporting framework for wireless sensor–actuator networks","year":2010,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wireless sensor network; Actuator; Event (particle physics); Computer science; Wireless; Real-time computing; Computer network; Embedded system; Telecommunications; Artificial intelligence","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001990818,0.0007682116,0.0009407084,0.0001798097,0.0008781269,0.0005870576,0.002066408,0.001181363,0.00004087788],"category_scores_gemma":[0.0004773929,0.0007633672,0.0005511857,0.001308233,0.0001818134,0.0005507595,0.0006834465,0.002367542,0.00002566856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001278789,"about_ca_system_score_gemma":0.0001648728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002126094,"about_ca_topic_score_gemma":0.0001259678,"domain_scores_codex":[0.993168,0.0001300856,0.002084403,0.001771889,0.0007167596,0.002128885],"domain_scores_gemma":[0.9923862,0.001468424,0.002241433,0.002748789,0.0005309463,0.0006242406],"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":[0.00006762779,0.0001672688,0.0007543316,0.00002669776,0.00009709623,0.0001552663,0.0001841323,0.8731287,0.00008567773,0.03512346,0.00554804,0.08466177],"study_design_scores_gemma":[0.0005409756,0.0001594273,0.0002601283,0.0002507513,0.00004598557,0.0001643598,0.00003894047,0.9726812,0.000142891,0.001822419,0.0229725,0.0009204766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06649703,0.001327033,0.9220721,0.0006704828,0.007316768,0.0008394803,0.00000363226,0.00102873,0.0002448072],"genre_scores_gemma":[0.7525219,0.0003958991,0.2428178,0.001094001,0.002207319,0.000231723,0.00004681585,0.0001550751,0.0005294186],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6860248,"threshold_uncertainty_score":0.999934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361818034508899,"score_gpt":0.2649900388046779,"score_spread":0.2513718584595889,"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."}}