{"id":"W2103903472","doi":"10.1109/ccece.2007.195","title":"Automated Identification of Clusters in UWB Channel Impulse Responses","year":2007,"lang":"en","type":"article","venue":"","topic":"Ultra-Wideband Communications Technology","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Channel (broadcasting); Computer science; Algorithm; Power delay profile; Logarithm; Multipath propagation; Impulse (physics); Identification (biology); Exponential decay; Ultra-wideband; Exponential function; Impulse response; Wideband; Cluster (spacecraft); Electronic engineering; Delay spread; Mathematics; Telecommunications; Physics; Engineering; Computer network","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":[0.0009190186,0.0009980781,0.001295231,0.0028016,0.0009052723,0.001774736,0.001430034,0.0008694963,0.001637015],"category_scores_gemma":[0.004528795,0.0005107484,0.0008583071,0.001343962,0.0005847475,0.001053711,0.00193076,0.00084102,0.001843412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286851,"about_ca_system_score_gemma":0.001502302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005943728,"about_ca_topic_score_gemma":0.005211459,"domain_scores_codex":[0.9987094,0.0001959186,0.00008025864,0.0003627464,0.0004406529,0.0002110629],"domain_scores_gemma":[0.9971164,0.0009447591,0.0003701782,0.0004828874,0.0009598295,0.0001258777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007296338,0.0002699748,0.01363829,0.00019352,0.00009601997,0.000524361,0.001081759,0.1765008,0.06689084,0.005578293,0.005859994,0.7286364],"study_design_scores_gemma":[0.00002761631,0.0000905668,0.00525977,0.00002435147,0.00003166926,0.0002408629,0.0002850063,0.9613355,0.02541593,0.003901409,0.003329572,0.00005771894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09050265,0.0001361565,0.9014869,0.00006842666,0.00003081479,0.0001824452,0.000170465,0.00532976,0.002092431],"genre_scores_gemma":[0.311819,0.0001367349,0.6837484,0.00005878352,0.0000233092,0.0001542013,0.0009378297,0.0004374447,0.002684221],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005943728,"threshold_uncertainty_score":0.01181823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009784683379747399,"score_gpt":0.2560956484737114,"score_spread":0.246310965093964,"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."}}