{"id":"W2168837058","doi":"10.1109/icassp.2004.1326993","title":"Time-varying channel modeling and variable-size burst for spatio-temporal interference suppression in DS-CDMA systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Channel (broadcasting); Variable (mathematics); Computer science; Variance (accounting); Interference (communication); Code division multiple access; Burst error; Transmission (telecommunications); Electronic engineering; Telecommunications; Mathematics; Engineering; Decoding methods","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":[0.0006315335,0.0007955078,0.0003742012,0.0003060662,0.0002962312,0.0006217613,0.0006567273,0.0006224182,0.0006012084],"category_scores_gemma":[0.002028967,0.0004303845,0.0003403442,0.0004816649,0.00053369,0.001072262,0.0004553706,0.0008645736,0.0002186044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005185644,"about_ca_system_score_gemma":0.0005346119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330018,"about_ca_topic_score_gemma":0.002702931,"domain_scores_codex":[0.9996858,0.0001436883,0.0000129818,0.00003745497,0.0000838277,0.00003640339],"domain_scores_gemma":[0.9992045,0.0005207245,0.0001001956,0.00007078071,0.00008032508,0.00002365067],"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":[0.0001229465,0.00004301249,0.0007106022,0.00005119457,0.00002323891,0.0001278318,0.0001046193,0.9366667,0.01426246,0.03113001,0.0003458299,0.01641168],"study_design_scores_gemma":[0.000003059353,0.00001562244,0.00006506395,0.000002351798,0.000004212436,0.00001582932,0.000005916638,0.996482,0.000713047,0.002513083,0.0001748256,0.000005045849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04822491,0.0005288129,0.949955,0.0001335961,0.00005782492,0.0000235286,0.00004122224,0.0001164982,0.0009186013],"genre_scores_gemma":[0.9173999,0.001417597,0.07853575,0.00006206075,0.000100992,0.0001005787,0.0001030946,0.00009111654,0.002189026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002330018,"threshold_uncertainty_score":0.00463289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0424074570616066,"score_gpt":0.286861664200427,"score_spread":0.2444542071388204,"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."}}