{"id":"W2114557369","doi":"10.1109/pacrim.1997.619900","title":"Analytical bounds on the mean received signal strength for conventional hard handoff","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Signal strength; Handover; Fading; Computer science; SIGNAL (programming language); Gaussian; Wireless; Computer network; Hysteresis; Algorithm; Electronic engineering; Telecommunications; Engineering; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006535472,0.0001010972,0.0001154145,0.00007303726,0.0003626459,0.0003470105,0.001548528,0.00004909386,0.001540016],"category_scores_gemma":[0.00009604541,0.00006647586,0.0001155207,0.0003240779,0.0001476059,0.0001685686,0.0002497871,0.0002307926,0.000213594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005128468,"about_ca_system_score_gemma":0.00003602854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005527339,"about_ca_topic_score_gemma":0.00001428416,"domain_scores_codex":[0.9985099,0.0002072904,0.0002076485,0.0002761298,0.000494282,0.0003047426],"domain_scores_gemma":[0.9971991,0.00159594,0.0000469623,0.0008751526,0.0001791412,0.000103747],"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":[0.00001810875,0.0001987556,0.00008378719,0.000003214508,0.00004815786,0.000001015921,0.0001368197,0.0003446354,0.00005923024,0.8290159,0.1475537,0.0225367],"study_design_scores_gemma":[0.0004459712,0.0001085569,0.000358189,0.00001110521,0.000002676279,0.000001847576,0.00001833267,0.9629348,0.0004478389,0.003008852,0.03256917,0.00009267373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01633724,0.0001658793,0.8345099,0.07962649,0.0002350242,0.0009062352,0.00001102236,0.0003055175,0.06790268],"genre_scores_gemma":[0.9755578,0.00003690102,0.0107785,0.0007706863,0.00009974479,0.00008946067,0.000007185084,0.000008739599,0.01265101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625902,"threshold_uncertainty_score":0.9993727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096324907783154,"score_gpt":0.3054112749213351,"score_spread":0.1957787841430197,"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."}}