{"id":"W4322710133","doi":"10.1007/978-3-031-21530-8_11","title":"Science and Technology to Enable Mobile Wireless Communications for the Safety and Security Community","year":2023,"lang":"en","type":"book-chapter","venue":"Advanced sciences and technologies for security applications","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Wireless; Computer security; Telecommunications; Business; Computer science; Internet privacy","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","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001682493,0.0003455993,0.0004122417,0.0007592411,0.006607742,0.0003689636,0.004987266,0.0003610813,2.76801e-7],"category_scores_gemma":[0.0002792182,0.0002863124,0.00004914814,0.001951621,0.008498061,0.000367397,0.004888595,0.0007244519,0.000001784734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009162495,"about_ca_system_score_gemma":0.0002056018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002539019,"about_ca_topic_score_gemma":0.0004214964,"domain_scores_codex":[0.9976285,0.00001833434,0.0004047778,0.001010721,0.0003456091,0.0005921165],"domain_scores_gemma":[0.9943249,0.002187415,0.0002860741,0.0024973,0.000604829,0.00009953364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003522142,0.00002070365,0.000002927025,0.00004058074,0.0000104308,8.281595e-8,0.0002303284,0.000196958,0.0001155209,0.8733962,0.00006362118,0.1259191],"study_design_scores_gemma":[0.0002090983,0.0004255232,0.000002469388,0.00008578639,0.00002783123,0.00001324056,0.001659794,0.05909954,0.000425277,0.5844741,0.3531775,0.0003998029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00337511,0.02606693,0.8388424,0.0705867,0.0006455192,0.02539314,0.001277297,0.008294026,0.02551886],"genre_scores_gemma":[0.6824312,0.06223922,0.2298703,0.0008143331,0.00008652433,0.01671094,0.00007803927,0.0001598605,0.007609693],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.679056,"threshold_uncertainty_score":0.9999589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02137057474986703,"score_gpt":0.2929154763442932,"score_spread":0.2715449015944261,"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."}}