{"id":"W3215165863","doi":"","title":"Selective Active Scanning for Fast Handoff in WLAN using Sensor Networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer network; Handover; Computer science; Latency (audio); Quality of service; Wireless sensor network; Process (computing); Real-time computing; 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":[0.0005411998,0.0002034503,0.0002588505,0.0002927054,0.0003315377,0.0003495384,0.0004369198,0.0003192319,0.0004695392],"category_scores_gemma":[0.001009511,0.000148515,0.0001497099,0.0002399162,0.0003188094,0.0006981306,0.0005661778,0.0003863561,0.0001097137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002101809,"about_ca_system_score_gemma":0.000326678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005009155,"about_ca_topic_score_gemma":0.0009259512,"domain_scores_codex":[0.9998252,0.00004541827,0.00001193126,0.00002183215,0.0000736404,0.00002199854],"domain_scores_gemma":[0.999606,0.0002023875,0.00004151986,0.00006864924,0.00005622273,0.00002537606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007653378,0.0001843929,0.00287976,0.0002005923,0.00006051691,0.0005260656,0.0003455405,0.07684772,0.6221777,0.02934384,0.001485241,0.2651833],"study_design_scores_gemma":[0.00006419863,0.0003397314,0.002304862,0.00001662456,0.00007006217,0.0003453792,0.0001336193,0.884081,0.09632457,0.01088792,0.005399858,0.00003218553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2902018,0.001310325,0.7040893,0.0002864038,0.00009880892,0.00007611146,0.00002611757,0.00091249,0.002998701],"genre_scores_gemma":[0.9495738,0.0003963143,0.04917061,0.00003784174,0.00002921055,0.00003096492,0.00002211404,0.00001637861,0.0007227552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005411998,"threshold_uncertainty_score":0.002862155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566466729957771,"score_gpt":0.2932826840364073,"score_spread":0.2676180167368296,"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."}}