{"id":"W2129039278","doi":"10.1109/cwit.2009.5069531","title":"Does analog transmission achieve OPTA in an asymmetric Gaussian sensor network ?","year":2009,"lang":"en","type":"article","venue":"","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gaussian; Fusion center; Transmission (telecommunications); Fading; Wireless sensor network; Constraint (computer-aided design); Computer science; Distortion (music); Topology (electrical circuits); Channel (broadcasting); Mathematical optimization; Algorithm; Wireless; Mathematics; Telecommunications; Computer network; Bandwidth (computing); Cognitive radio; Physics","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":[0.004527362,0.001333867,0.001501839,0.0008526028,0.0008462713,0.002129914,0.001542948,0.001526816,0.003473065],"category_scores_gemma":[0.02196352,0.0006365563,0.0005111704,0.001186261,0.003372204,0.005473348,0.00233952,0.001582687,0.0006654978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392048,"about_ca_system_score_gemma":0.00148919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001349647,"about_ca_topic_score_gemma":0.001358589,"domain_scores_codex":[0.9974107,0.0009359628,0.0001429022,0.0003855468,0.0005814657,0.0005434468],"domain_scores_gemma":[0.9830772,0.01174715,0.001845031,0.001475224,0.001490527,0.0003647311],"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":[0.0006552635,0.000217955,0.002700349,0.0005082515,0.0001026884,0.0004247586,0.0002438146,0.39626,0.01424393,0.5034753,0.003735025,0.0774327],"study_design_scores_gemma":[0.00006002445,0.0002475108,0.0009011924,0.0000829604,0.00005132602,0.0004982463,0.0002173253,0.7231852,0.007278402,0.2654624,0.001977646,0.00003770868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1023471,0.001495183,0.8699167,0.002552725,0.0001749397,0.00008053288,0.0003381029,0.0001913866,0.0229034],"genre_scores_gemma":[0.9538613,0.001242552,0.04230797,0.0004484875,0.0001674153,0.00006660777,0.000100413,0.00006337473,0.00174189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004527362,"threshold_uncertainty_score":0.02394325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009387012771589336,"score_gpt":0.2424075881303482,"score_spread":0.2330205753587589,"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."}}