{"id":"W4392370260","doi":"10.18280/ijsse.140103","title":"Enhancing Barrier Coverage in Surveillance Applications Through Hybrid Directional Sensor Networks","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer security; Computer network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004717622,0.0006642469,0.0004449276,0.0005911599,0.0002766066,0.0006332687,0.0007607946,0.0004420124,0.0003302236],"category_scores_gemma":[0.001374862,0.0002102552,0.0003526382,0.000454733,0.0002886323,0.0011003,0.0011782,0.0003753509,0.0001292804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136834,"about_ca_system_score_gemma":0.0003189694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009323566,"about_ca_topic_score_gemma":0.001143495,"domain_scores_codex":[0.9996132,0.0001265515,0.00002099866,0.00006375073,0.0001257762,0.00004975677],"domain_scores_gemma":[0.9993379,0.0002864107,0.0001075962,0.000078043,0.000139076,0.00005108763],"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":[0.000455507,0.0001339133,0.0052797,0.0003414552,0.0001003945,0.0004739569,0.0003980501,0.581517,0.1538717,0.01595189,0.001486946,0.2399896],"study_design_scores_gemma":[0.00001524129,0.0001633474,0.0007303472,0.00001210155,0.00002313832,0.0001628699,0.00009766767,0.9798844,0.01438297,0.002405815,0.002108165,0.00001389543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07954442,0.0005415464,0.9175109,0.0001052535,0.00003356062,0.00004174783,0.00002767319,0.0003451744,0.001849809],"genre_scores_gemma":[0.8858316,0.0005048127,0.1126309,0.00004946114,0.00002116515,0.00005428246,0.00006659153,0.0000349398,0.0008063818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009323566,"threshold_uncertainty_score":0.002494931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003496614567978842,"score_gpt":0.2124320578671941,"score_spread":0.2089354432992152,"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."}}