{"id":"W2093719695","doi":"10.1155/wcn/2006/21297","title":"Cross-Layer Design and Analysis of Downlink Communications in Cellular CDMA Systems","year":2006,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Telecommunications link; Computer network; Data link layer; Physical layer; Transport layer; Network layer; Throughput; Scheduling (production processes); Wireless network; Code division multiple access; Link layer; Spurious relationship; Power control; Layer (electronics); Network performance; Handover; Application layer; Wireless; Cellular network; Power (physics); 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":[],"consensus_categories":[],"category_scores_codex":[0.003210708,0.0002458951,0.0005888058,0.00106409,0.00101323,0.0008228174,0.004498859,0.0001458644,0.000003350134],"category_scores_gemma":[0.00002339829,0.0002362789,0.0001260462,0.002839302,0.0005516345,0.0005204317,0.001918272,0.001107923,0.000002046304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132758,"about_ca_system_score_gemma":0.00008906043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001915113,"about_ca_topic_score_gemma":0.0001215757,"domain_scores_codex":[0.995508,0.002123444,0.001150179,0.000337157,0.0004460769,0.0004351395],"domain_scores_gemma":[0.9917237,0.002833823,0.000675282,0.00426374,0.0003473447,0.0001560725],"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":[0.0001000405,0.00139964,0.230337,0.0000660942,0.001070068,0.0000326088,0.002049337,0.2509267,0.003002758,0.2639606,0.0002926037,0.2467626],"study_design_scores_gemma":[0.000475121,0.00006454995,0.02749436,0.0002234948,0.00006655827,0.00002845342,0.00004707605,0.9666013,0.00004622037,0.000573306,0.004148359,0.0002311669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2354695,0.07528636,0.681581,0.00385403,0.0002616188,0.0008293847,0.000009993474,0.0001311372,0.002576947],"genre_scores_gemma":[0.9460753,0.02866273,0.02500652,0.0000528726,0.00006048815,0.00004238408,0.00002492393,0.00002161856,0.00005312102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7156746,"threshold_uncertainty_score":0.9635175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07798758823522109,"score_gpt":0.3352462502169696,"score_spread":0.2572586619817485,"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."}}