{"id":"W1995794661","doi":"10.1109/iscc.2007.4381541","title":"On the Capacity of Multi-hop CDMA Cellular Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hop (telecommunications); Interference (communication); Computer network; Computer science; Cellular network; Telecommunications; Spread spectrum; Channel capacity; Code division multiple access","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":[0.001463514,0.0009406242,0.0007888271,0.001334086,0.0008773429,0.00249711,0.001027876,0.001317915,0.005539497],"category_scores_gemma":[0.01138822,0.0004666209,0.0004384786,0.001807946,0.002425638,0.003754614,0.001670669,0.002446946,0.0008923452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002622377,"about_ca_system_score_gemma":0.001027992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003902497,"about_ca_topic_score_gemma":0.001581598,"domain_scores_codex":[0.9984362,0.0004514663,0.00003770928,0.0001655515,0.0006065319,0.0003025038],"domain_scores_gemma":[0.9919108,0.006221058,0.000294368,0.0004323304,0.0009828563,0.0001587566],"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":[0.0001337467,0.00006293981,0.0009244643,0.0004128987,0.00005332201,0.0004424753,0.0002301777,0.5146276,0.006083946,0.4205633,0.007061048,0.04940412],"study_design_scores_gemma":[0.00001692061,0.00006068,0.001294905,0.000364191,0.00004389162,0.0003530262,0.0001288263,0.6260895,0.004031746,0.3484802,0.01906005,0.00007608176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.140173,0.1014907,0.4660718,0.009785556,0.002278704,0.0001209788,0.0009384281,0.00050305,0.2786379],"genre_scores_gemma":[0.9494244,0.02791112,0.01126414,0.0005605996,0.001377449,0.0001162891,0.0001969494,0.0001558172,0.008993298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005539497,"threshold_uncertainty_score":0.01902682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0627658588006675,"score_gpt":0.28988326546352,"score_spread":0.2271174066628525,"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."}}