{"id":"W4362570567","doi":"10.1007/978-3-031-26963-9","title":"Advanced Wireless Technologies for Industrial Network Systems","year":2023,"lang":"en","type":"book","venue":"Wireless networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Wireless network; Wireless; Computer network; Telecommunications","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":[0.0002459447,0.001513988,0.0007394388,0.001393482,0.0004986122,0.001500737,0.000918642,0.0009343619,0.08785884],"category_scores_gemma":[0.0005267479,0.0004413473,0.0003522137,0.002063829,0.0003429922,0.002063202,0.0009532174,0.001686899,0.05776258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537239,"about_ca_system_score_gemma":0.0005613412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008534298,"about_ca_topic_score_gemma":0.002066819,"domain_scores_codex":[0.9997383,0.00002257628,0.000007663755,0.00002843292,0.0001876813,0.00001534453],"domain_scores_gemma":[0.9997526,0.00007793471,0.00001337186,0.00003695484,0.00009250872,0.00002668024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002661757,0.00005110926,0.00008275332,0.0004342357,0.00001521738,0.00007904876,0.00006968767,0.002332098,0.005589207,0.0364247,0.3982158,0.5566796],"study_design_scores_gemma":[0.000005183759,0.0000379046,0.0002105013,0.0001305681,0.00000995549,0.0001611129,0.00001918477,0.003851128,0.000815784,0.01146502,0.9832852,0.000008319408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001441869,0.06275943,0.1835368,0.002137835,0.00872831,0.0001750292,0.0005067638,0.002730703,0.7379832],"genre_scores_gemma":[0.004741262,0.02434755,0.02293298,0.0005524931,0.001345076,0.00009953326,0.0003627429,0.0003904661,0.945228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08785884,"threshold_uncertainty_score":0.2939171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02464487713015252,"score_gpt":0.2318633536873477,"score_spread":0.2072184765571952,"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."}}