{"id":"W2139943085","doi":"10.1109/pimrc.1996.568414","title":"Scheduled CDMA: a hybrid multiple access for wireless ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer network; Computer science; Quality of service; Time division multiple access; Code division multiple access; Power control; Base station; Asynchronous Transfer Mode; Wireless; Cellular network; Wireless network; Telecommunications; Power (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":[],"consensus_categories":[],"category_scores_codex":[0.0004840399,0.0002020892,0.0002576515,0.0001305943,0.0003835212,0.0007515209,0.004985381,0.00008696085,0.0001519955],"category_scores_gemma":[0.000110432,0.0001847464,0.0001316613,0.0007216618,0.00009325067,0.001102486,0.001664677,0.0003214216,0.0001007285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000719011,"about_ca_system_score_gemma":0.00003308665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003779642,"about_ca_topic_score_gemma":0.00005845242,"domain_scores_codex":[0.9978505,0.0001600134,0.0003548302,0.0005467851,0.0003820892,0.00070577],"domain_scores_gemma":[0.9964452,0.001010281,0.0001067731,0.001926398,0.0002888442,0.0002224521],"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":[0.00005036821,0.0008286614,0.006322905,0.0000644787,0.0001411165,0.00002132874,0.0002688458,0.05069699,0.0002084049,0.1049214,0.1241286,0.712347],"study_design_scores_gemma":[0.0008977707,0.00003926027,0.0005399439,0.00001810687,0.000002581068,0.000008538538,0.000005549073,0.9873277,0.0006022343,0.0004182177,0.009902044,0.0002380537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01178075,0.0004692844,0.9791428,0.003727638,0.0002452141,0.0007213044,0.000002129882,0.0004598581,0.003451056],"genre_scores_gemma":[0.9509646,0.0002727886,0.04598918,0.0005273494,0.000168589,0.00035006,0.000008932507,0.00002735158,0.001691133],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9391838,"threshold_uncertainty_score":0.9264161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0772732583061471,"score_gpt":0.3100859639936086,"score_spread":0.2328127056874615,"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."}}