{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004072354,0.0001411562,0.0002212678,0.0001175238,0.0001844363,0.000424334,0.00144604,0.00007120264,0.00008635978],"category_scores_gemma":[0.00005876457,0.00009586083,0.00003867473,0.0005965443,0.00008012375,0.0003728904,0.000121332,0.0001958582,0.00008500215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007883739,"about_ca_system_score_gemma":0.00003517012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005942105,"about_ca_topic_score_gemma":0.00001370281,"domain_scores_codex":[0.9985768,0.0001628664,0.0002541056,0.0003034198,0.0002986719,0.0004041546],"domain_scores_gemma":[0.9978319,0.0005466271,0.0000868834,0.0009049984,0.0005027418,0.0001268094],"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":[0.0002083389,0.0005983153,0.002128678,0.0001050203,0.0005534199,0.0000492797,0.00211596,0.01648785,0.004532752,0.7884192,0.1541134,0.03068781],"study_design_scores_gemma":[0.001438979,0.0001539675,0.00008928142,0.00004180942,0.000003089786,0.00001585552,0.00009257138,0.9822333,0.0002201469,0.00002509183,0.01552948,0.0001563698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002241463,0.0003470927,0.9820662,0.002575898,0.0001427454,0.0008378369,0.000004545985,0.0004126997,0.01137156],"genre_scores_gemma":[0.9885333,0.00002500615,0.007730026,0.0002621093,0.00001924521,0.0001164178,0.000004671646,0.00001627748,0.003292971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9862918,"threshold_uncertainty_score":0.4091862,"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."}}