{"id":"W1912668736","doi":"10.1109/vetec.1992.245346","title":"A microcellular interconnection architecture for personal communications networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Handover; Computer science; Architecture; Interconnection; Wireless; Class (philosophy); Telecommunications; Distributed computing; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0005910718,0.000114353,0.0001183175,0.0001130951,0.0003876648,0.0001918705,0.001969082,0.00008208272,0.00003174722],"category_scores_gemma":[0.00009620201,0.0001069905,0.0001006266,0.0004581243,0.00009646555,0.0001998736,0.0004313928,0.0003286572,0.00001743104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005789883,"about_ca_system_score_gemma":0.00006901668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001272896,"about_ca_topic_score_gemma":0.00008374442,"domain_scores_codex":[0.9987884,0.0002860166,0.0001998201,0.0002691297,0.0001417104,0.0003149099],"domain_scores_gemma":[0.9976426,0.0005946676,0.00005678517,0.001427611,0.0001826932,0.00009562941],"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":[0.00001846662,0.0003034688,0.0002933668,0.00002489474,0.00008544696,0.00000100457,0.002446209,0.00307411,0.002271816,0.8101947,0.01329931,0.1679872],"study_design_scores_gemma":[0.0002805853,0.00004429621,0.00003086908,0.00001201214,0.000002633417,0.00002364363,0.00007289708,0.8486907,0.0005925145,0.003322607,0.1467886,0.0001386525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006205685,0.000982762,0.9881264,0.004678718,0.0001062396,0.0003581544,8.679645e-7,0.0001709466,0.004955317],"genre_scores_gemma":[0.7970086,0.0001260041,0.2014405,0.0004175774,0.00003113054,0.0001559419,0.00001228789,0.00001253462,0.0007954147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8456166,"threshold_uncertainty_score":0.4362946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03606474698188142,"score_gpt":0.2891490511957763,"score_spread":0.2530843042138948,"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."}}