{"id":"W2049150042","doi":"10.1109/icccn.2012.6289221","title":"On Breach Path Detection Reliability of Wireless Sensor Grids","year":2012,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Wireless sensor network; Computer science; Reliability (semiconductor); Intrusion detection system; Computer network; Path (computing); Key distribution in wireless sensor networks; Distributed computing; Set (abstract data type); Wireless network; Wireless; Grid; Data mining; Telecommunications; Mathematics","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":[0.0005279021,0.0001570187,0.0001963853,0.00008821126,0.00007851642,0.00002602894,0.000430859,0.0001174745,0.00001791892],"category_scores_gemma":[0.00005070908,0.0001285557,0.00009032006,0.0004443077,0.00006164167,0.000315402,0.0001336004,0.0001774511,0.00004429405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007062056,"about_ca_system_score_gemma":0.00001496762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009026347,"about_ca_topic_score_gemma":0.000007860246,"domain_scores_codex":[0.9984221,0.0001495843,0.0002891169,0.0003376234,0.0003872061,0.0004143141],"domain_scores_gemma":[0.9984852,0.0002790359,0.0001176956,0.0008692947,0.0001120634,0.0001367251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001648232,0.003714591,0.03026105,0.0001582465,0.00006766317,0.00001173603,0.002414197,0.2137508,0.06695399,0.4057122,0.001877541,0.2749132],"study_design_scores_gemma":[0.000634724,0.0004053722,0.03338255,0.00005911863,0.00001400301,0.00003460518,0.00006245226,0.6817015,0.2814211,0.0005479085,0.001137221,0.0005994381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6141977,0.00001358111,0.3807322,0.00006204666,0.0006471488,0.0000748094,6.395529e-7,0.000180906,0.004090908],"genre_scores_gemma":[0.9885949,0.000005532132,0.01086523,0.0001172025,0.0001219556,0.000006336185,0.000001116055,0.00001191733,0.0002757926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4679507,"threshold_uncertainty_score":0.524235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008390152333475325,"score_gpt":0.2155523911780729,"score_spread":0.2071622388445976,"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."}}