{"id":"W4246377431","doi":"10.22215/etd/2013-09502","title":"Measuring wireless fingerprints inside a wireless sensor network","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"","keywords":"Wireless; Wireless sensor network; Computer science; Telecommunications; Computer network","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005031049,0.001077921,0.00121538,0.0003550615,0.000462483,0.001048248,0.003228897,0.001192687,0.0002360737],"category_scores_gemma":[0.00006686136,0.001106226,0.0004150427,0.001086219,0.0000685402,0.0008077497,0.0004751392,0.001611894,0.001437895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002565371,"about_ca_system_score_gemma":0.0003084721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608673,"about_ca_topic_score_gemma":0.0008904454,"domain_scores_codex":[0.9937946,0.0002986856,0.001137558,0.001798958,0.001383212,0.001586998],"domain_scores_gemma":[0.9953332,0.0005009168,0.0007595756,0.002320346,0.0006470323,0.0004389498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002274246,0.0008819434,0.001923102,0.002139505,0.001753402,0.00103869,0.0173008,0.01679207,0.008571804,0.2409654,0.08747317,0.6209326],"study_design_scores_gemma":[0.002446488,0.0002674079,0.01143073,0.00582106,0.0003023192,0.0002810747,0.001898924,0.9048104,0.03733427,0.01306023,0.01266332,0.009683722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8704569,0.001221337,0.03898263,0.0003508029,0.01302178,0.001930045,0.000005806804,0.002827715,0.07120298],"genre_scores_gemma":[0.9517003,0.0005084212,0.02266786,0.0008380958,0.002287736,0.0002876497,0.0002472898,0.0002832555,0.02117934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8880184,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454351026246625,"score_gpt":0.2370304097252731,"score_spread":0.2124868994628069,"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."}}