{"id":"W1914462256","doi":"10.1109/isssta.1996.563183","title":"Non-orthogonal CDMA forward link offers flexibility without compromising capacity","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Orthogonality; Fading; Rayleigh fading; Spectral efficiency; Code division multiple access; Channel capacity; CDMA spectral efficiency; Rician fading; Algorithm; Channel (broadcasting); Electronic engineering; Computer network; Decoding methods; Mathematics; Engineering","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":[0.0008492378,0.0001935567,0.0002696343,0.0001185022,0.000352212,0.0003083458,0.002420467,0.0001154846,0.0002938924],"category_scores_gemma":[0.00006510012,0.0001740903,0.0001206915,0.0006306237,0.0002323932,0.0006497158,0.000964677,0.0005578723,0.0003085184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001250011,"about_ca_system_score_gemma":0.00004927734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007578731,"about_ca_topic_score_gemma":0.00007255612,"domain_scores_codex":[0.9976196,0.000215679,0.0003820442,0.0005650473,0.0006694333,0.0005481395],"domain_scores_gemma":[0.9969387,0.0002357005,0.00009393758,0.00222591,0.0002403966,0.000265366],"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":[0.000079281,0.001561396,0.1452102,0.0002172559,0.0002834634,0.00003240354,0.005998551,0.01069202,0.007464654,0.1414835,0.02201521,0.6649621],"study_design_scores_gemma":[0.0004029793,0.00004931625,0.01870523,0.0000215429,0.000002271077,0.0000105147,0.000009476291,0.9752569,0.001639608,0.001343893,0.002324328,0.0002339299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3733796,0.00006368657,0.5876513,0.004885484,0.0001589314,0.0003775478,0.000001653224,0.0003777628,0.03310407],"genre_scores_gemma":[0.9157188,0.00002813748,0.08269963,0.0003494233,0.00009248878,0.00002183928,0.000002429916,0.00001307746,0.00107418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9645649,"threshold_uncertainty_score":0.7099197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08639323387244613,"score_gpt":0.2984545039936123,"score_spread":0.2120612701211662,"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."}}