{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004133115,0.0001205971,0.0001672507,0.0001874154,0.0000385235,0.0001827993,0.0003651923,0.00004944812,0.000007952165],"category_scores_gemma":[0.00004121827,0.000120941,0.00007836013,0.0002409242,0.00001966248,0.0005414925,0.00009773171,0.0004015345,0.000001521912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001295211,"about_ca_system_score_gemma":0.00004109999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011338,"about_ca_topic_score_gemma":0.00001247208,"domain_scores_codex":[0.9988362,0.00003001669,0.0004381886,0.0001958218,0.0003299674,0.0001698435],"domain_scores_gemma":[0.9992465,0.0003708498,0.00008266518,0.00009770679,0.0001390053,0.00006323181],"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":[0.00001548868,0.00002020781,0.0002967699,0.00001460622,0.00006196096,0.0001658194,0.0002979408,0.9756144,0.0003082393,0.01924763,0.00001736719,0.003939585],"study_design_scores_gemma":[0.0002467476,0.00001690844,0.001141305,0.0002377543,0.000002876305,0.0005435058,0.00001123303,0.9617212,0.0005342393,0.0004843759,0.03490048,0.0001593635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01287357,0.002812867,0.98165,0.0005392812,0.001737634,0.00004869663,0.00000768547,0.00005948182,0.0002708056],"genre_scores_gemma":[0.9881849,0.001887953,0.00919043,0.00007160474,0.0006264037,0.000002995441,0.000004209062,0.00001111038,0.0000203773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753113,"threshold_uncertainty_score":0.4931831,"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."}}