{"id":"W2115410361","doi":"10.1109/ccece.2004.1345022","title":"A pilot power based power control (PPBPC) and base station assignment algorithm in cellular CDMA networks","year":2004,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power control; Base station; Cellular network; Code division multiple access; Computer science; Signal-to-interference-plus-noise ratio; Transmitter power output; Interference (communication); Power (physics); Signal-to-noise ratio (imaging); Computer network; Algorithm; Electronic engineering; Engineering; Telecommunications; Transmitter","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007074667,0.0005883154,0.0007168722,0.0003107796,0.0004871064,0.0005252874,0.0009350739,0.0007768454,0.0006472875],"category_scores_gemma":[0.00297155,0.0003392984,0.0001882763,0.0005555964,0.0008827683,0.0006906083,0.000643581,0.001129306,0.0002753592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003874639,"about_ca_system_score_gemma":0.0009965474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119282,"about_ca_topic_score_gemma":0.001571755,"domain_scores_codex":[0.9994143,0.0001634006,0.00002531063,0.0001287112,0.0002133133,0.00005503001],"domain_scores_gemma":[0.9992738,0.0003285497,0.00009304764,0.00008260697,0.0001782064,0.00004382785],"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":[0.0003150249,0.0002086132,0.001251738,0.0001173827,0.00004220018,0.0002307661,0.0001785189,0.5306599,0.02329428,0.02083197,0.002766376,0.4201032],"study_design_scores_gemma":[0.00004757605,0.0001331991,0.0001810442,0.000004788689,0.00000792532,0.0001100234,0.000007093102,0.9921767,0.002909402,0.003573607,0.0008406852,0.000007965199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009336596,0.000198192,0.9892299,0.00009061334,0.0000461636,0.00004302806,0.00000709223,0.0002546331,0.0007938808],"genre_scores_gemma":[0.5846186,0.0002726197,0.4122572,0.0001610753,0.0001075357,0.0002564363,0.00004961943,0.00005627499,0.002220676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002119282,"threshold_uncertainty_score":0.004213929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573307922109323,"score_gpt":0.2492734388128286,"score_spread":0.2335403595917354,"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."}}