{"id":"W2116715843","doi":"10.1109/vtc.2001.957153","title":"Integrated power control with concatenated coding for DS-CDMA systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Concatenated error correction code; Computer science; Systematic code; Convolutional code; Constant-weight code; Code division multiple access; Code rate; Algorithm; Serial concatenated convolutional codes; Polynomial code; Coding gain; Coding (social sciences); Electronic engineering; Computer network; Block code; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004351145,0.0005474975,0.0003128642,0.0002845481,0.0002735594,0.0006215012,0.0006134912,0.0003395879,0.0008237031],"category_scores_gemma":[0.001561234,0.0002264359,0.0002063552,0.0003379456,0.0006866529,0.0005886278,0.0005300554,0.0004607321,0.0001591844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007161751,"about_ca_system_score_gemma":0.0004745606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001539526,"about_ca_topic_score_gemma":0.002760355,"domain_scores_codex":[0.9994519,0.0001111822,0.00002579693,0.00007490732,0.0002819039,0.00005421429],"domain_scores_gemma":[0.9992747,0.0002898708,0.0001308363,0.00008175964,0.0001983564,0.00002461105],"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":[0.0004176449,0.00006732763,0.001792629,0.0001779784,0.00009821846,0.0004653566,0.0002305269,0.7386369,0.1270553,0.03835086,0.0004008485,0.0923064],"study_design_scores_gemma":[0.00001671154,0.000207592,0.0003572142,0.00001133753,0.00003641886,0.00009962475,0.00001206864,0.9726574,0.02131312,0.004004559,0.001270682,0.00001324402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1828744,0.00126205,0.8100746,0.0001959837,0.00007783807,0.00005565315,0.00002681035,0.0004100822,0.005022548],"genre_scores_gemma":[0.9699447,0.0002029247,0.0287202,0.00001612667,0.00003273233,0.00001829723,0.00001191662,0.00001314139,0.001040035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001539526,"threshold_uncertainty_score":0.005196273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114443628914411,"score_gpt":0.260585971860321,"score_spread":0.2194415355711769,"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."}}