{"id":"W2045344463","doi":"10.1002/wcm.293","title":"Performance analysis of cellular CDMA high‐speed data services","year":2006,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Fading; Code division multiple access; Channel (broadcasting); Throughput; Antenna (radio); Computer network; Wireless; Physical layer; Interference (communication); Electronic engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001111424,0.000429964,0.0002839029,0.0005978009,0.0003727894,0.0009469151,0.0003457219,0.0005012722,0.001196512],"category_scores_gemma":[0.005367312,0.0001289253,0.0001759953,0.0006981355,0.0005329804,0.0004055686,0.0005044227,0.0003400207,0.0001863451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826049,"about_ca_system_score_gemma":0.0007201415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01202004,"about_ca_topic_score_gemma":0.004904747,"domain_scores_codex":[0.9990393,0.0003180276,0.00001623323,0.00007101565,0.0003542414,0.0002013099],"domain_scores_gemma":[0.9965451,0.00215183,0.000199762,0.000170973,0.0008308553,0.0001013613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005317614,0.0000454168,0.007096981,0.00006167201,0.00006165238,0.000235035,0.0000689304,0.9477454,0.013628,0.007948074,0.0006305597,0.02194649],"study_design_scores_gemma":[0.000006426739,0.00008107446,0.001664256,0.000003427238,0.00001587916,0.00006299223,0.00002961464,0.9940863,0.003033582,0.0007686836,0.0002418078,0.000006072691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426355,0.001167699,0.04717011,0.0002622603,0.00003378965,0.00002248807,0.0001040469,0.0001746162,0.008429486],"genre_scores_gemma":[0.9990017,0.00006745067,0.0006269246,0.000009040124,0.000005789554,0.000002811085,0.00001960977,0.000003348935,0.0002633389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01202004,"threshold_uncertainty_score":0.02390015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944328058368656,"score_gpt":0.2896828482043501,"score_spread":0.2602395676206635,"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."}}