{"id":"W1555633774","doi":"10.1109/icupc.1996.562661","title":"Transport method to integrate multimedia and data personal communications services over MAN-based PCNS","year":2002,"lang":"en","type":"article","venue":"Proceedings of ICUPC - 5th International Conference on Universal Personal Communications","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Handover; Computer network; Wireless; Reservation; Multimedia; Architecture; Metropolitan area; Personal mobility; Personal area 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0009243045,0.0003550111,0.0003801387,0.0006983386,0.0005507087,0.0003365953,0.01658926,0.0001503695,0.0003039382],"category_scores_gemma":[0.0001026606,0.0003695269,0.0001110256,0.0008962229,0.0005973262,0.001587227,0.00386131,0.000920195,0.00004934431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001918694,"about_ca_system_score_gemma":0.0001527584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004017064,"about_ca_topic_score_gemma":0.0002825228,"domain_scores_codex":[0.9970985,0.0001467511,0.0005772918,0.0007818836,0.000999101,0.0003964567],"domain_scores_gemma":[0.9944751,0.0006941981,0.000384854,0.002496012,0.001602086,0.0003477328],"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":[0.0002520549,0.002192126,0.007839291,0.0001809893,0.0006004098,0.000005002026,0.02277074,0.00007610847,0.01064099,0.8673413,0.00427797,0.08382304],"study_design_scores_gemma":[0.0007239004,0.0001349024,0.003879559,0.0002960305,0.00003167156,0.000009541111,0.001985293,0.9754636,0.0001649465,0.0004612481,0.01649251,0.0003568105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07478043,0.002473914,0.2089067,0.3781054,0.0006016426,0.004297841,0.003252195,0.001514457,0.3260674],"genre_scores_gemma":[0.7950494,0.001068846,0.2022802,0.0007560067,0.00003100292,0.00005437237,0.0002554152,0.0000254818,0.000479234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753875,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1707606819542253,"score_gpt":0.3899535178007098,"score_spread":0.2191928358464845,"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."}}