{"id":"W2131868207","doi":"10.1109/glocom.1995.502809","title":"Extending B-ISDN to support user terminal mobility over an ATM-based personal communications network","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Integrated Services Digital Network; Computer network; Handover; Computer science; Terminal (telecommunication); Intelligent Network; Mobility management; Asynchronous Transfer Mode; Wireless network; Wireless; 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":"codex-gemma-dda1882f352a","candidate_categories":["open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001134997,0.0002060635,0.0002210141,0.0001391736,0.0006732012,0.000427915,0.005540436,0.00009637127,0.001671616],"category_scores_gemma":[0.00005347948,0.0002010702,0.0001071148,0.001078043,0.0001957211,0.0008687522,0.001897653,0.0004646984,0.0003750048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744835,"about_ca_system_score_gemma":0.00009668126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009152341,"about_ca_topic_score_gemma":0.0002864311,"domain_scores_codex":[0.9971445,0.0005669317,0.0003974878,0.0005657733,0.000632735,0.0006926307],"domain_scores_gemma":[0.9937512,0.0005263113,0.00008282044,0.004982576,0.000199298,0.0004577936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007467871,0.004734394,0.08490886,0.00006010472,0.0001119773,0.00006683909,0.005277317,0.02619916,0.0008505877,0.1414746,0.2026287,0.5336128],"study_design_scores_gemma":[0.0002853679,0.0001846289,0.02374674,0.00001959218,0.00000365307,0.00001234485,0.00002946908,0.9325812,0.00003897495,0.0001541721,0.04266813,0.0002757686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.142707,0.0004678332,0.8074644,0.01712091,0.0003830566,0.001609512,0.0000164969,0.001307118,0.02892374],"genre_scores_gemma":[0.8466284,0.0000335389,0.1496645,0.001702844,0.00009831599,0.0001248426,0.00001737377,0.00001911702,0.001711095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.906382,"threshold_uncertainty_score":0.9998401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09440450141350726,"score_gpt":0.3536764269978904,"score_spread":0.2592719255843832,"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."}}