{"id":"W2161993469","doi":"10.1109/65.885669","title":"Lighting the local area: optical code-division multiple access and quality of service provisioning","year":2000,"lang":"en","type":"article","venue":"IEEE Network","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Asynchronous communication; Code division multiple access; Time division multiple access; Physical layer; Quality of service; Provisioning; Flexibility (engineering); Distributed computing; Telecommunications; Wireless","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":[0.0005176994,0.0003611379,0.0003139084,0.0004877548,0.0007088124,0.001480929,0.0009664785,0.001088284,0.003887023],"category_scores_gemma":[0.001685849,0.0001406066,0.0001817554,0.001072823,0.0008791827,0.001576051,0.0009837769,0.000896554,0.0007499955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232704,"about_ca_system_score_gemma":0.0009686683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002028261,"about_ca_topic_score_gemma":0.002665312,"domain_scores_codex":[0.9994735,0.0001547281,0.00001020279,0.0000837222,0.0001998656,0.00007801125],"domain_scores_gemma":[0.9992792,0.0002509093,0.00009518061,0.0001090802,0.0002036147,0.0000620076],"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":[0.0001127653,0.00009485953,0.0006028296,0.000211458,0.00003354028,0.0001807466,0.0001077075,0.04580269,0.01389917,0.6952872,0.01688404,0.226783],"study_design_scores_gemma":[0.00003161042,0.00008499707,0.000952174,0.00005051157,0.00003489181,0.0003960568,0.00007612718,0.6038455,0.008836498,0.3117487,0.07390506,0.000037952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03083813,0.004671944,0.9115829,0.002832709,0.0006222777,0.00009281528,0.0001215412,0.0007080873,0.04852957],"genre_scores_gemma":[0.8333284,0.004278122,0.1339415,0.0006689585,0.000604524,0.0001432384,0.0001580425,0.0000729919,0.02680428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003887023,"threshold_uncertainty_score":0.01300341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798485384185452,"score_gpt":0.25668734396197,"score_spread":0.2287024901201155,"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."}}