{"id":"W2908862527","doi":"10.21474/ijar01/8133","title":"A HYBRID APPROACH TOWARDS LOCALIZATION AND SECURITY IN WIRELESS NETWORKS.","year":2018,"lang":"en","type":"article","venue":"International Journal of Advanced Research","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Universiti Sains Islam Malaysia","keywords":"Wireless; Wireless network; Network security; Science and engineering; Computer science; Computer security; Telecommunications; Computer network; Engineering; Engineering ethics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001397915,0.0009129616,0.0009794221,0.001411339,0.0008162144,0.002441991,0.00249262,0.002439661,0.003259162],"category_scores_gemma":[0.002259095,0.0004242637,0.00105318,0.001230794,0.00226419,0.00488105,0.005525514,0.001957451,0.001266893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008813894,"about_ca_system_score_gemma":0.0008177477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107851,"about_ca_topic_score_gemma":0.001578702,"domain_scores_codex":[0.9982693,0.0005454251,0.00007812031,0.0002860101,0.0006753844,0.000145828],"domain_scores_gemma":[0.9991218,0.0003243309,0.0000580465,0.0002649211,0.00016619,0.00006479583],"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":[0.000110249,0.00006727312,0.0004932903,0.0003697055,0.0001638543,0.0003094339,0.0003696161,0.05806118,0.007772998,0.7912845,0.007711964,0.133286],"study_design_scores_gemma":[0.00003787008,0.0001998061,0.000283894,0.0001400366,0.00008384004,0.0007676345,0.000220557,0.4522929,0.003687392,0.4877529,0.0544675,0.00006574595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001865062,0.002639578,0.9855188,0.0007300566,0.0002547368,0.0000430929,0.00003052924,0.0001772028,0.008740942],"genre_scores_gemma":[0.3015034,0.007941037,0.6558471,0.001031382,0.0009467335,0.0003370731,0.0002276535,0.0001697015,0.03199585],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003259162,"threshold_uncertainty_score":0.01090294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965558296716566,"score_gpt":0.3208642685465571,"score_spread":0.3012086855793914,"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."}}