{"id":"W2082832612","doi":"10.1155/2008/127689","title":"Censored Distributed Space-Time Coding for Wireless Sensor Networks","year":2007,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Coding (social sciences); Fusion center; Wireless sensor network; Censoring (clinical trials); Block code; Algorithm; Likelihood-ratio test; Real-time computing; Wireless; Decoding methods; Mathematics; Telecommunications; Statistics; 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":[0.001067334,0.0005999571,0.0004359101,0.0004435858,0.0002615195,0.0006114967,0.0008732544,0.0007709471,0.0008375451],"category_scores_gemma":[0.006180832,0.0001925527,0.0003344491,0.0008793711,0.0009389539,0.0008718685,0.0007889189,0.001150451,0.0002852663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007700245,"about_ca_system_score_gemma":0.0007760974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785911,"about_ca_topic_score_gemma":0.001725671,"domain_scores_codex":[0.9992112,0.0003495677,0.00002748651,0.00007599712,0.0002877235,0.00004787737],"domain_scores_gemma":[0.9972852,0.001810534,0.0002618563,0.000284446,0.0003084504,0.00004941262],"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":[0.0001124714,0.00002920297,0.0005132876,0.0001432431,0.00002875944,0.0001318263,0.0001118049,0.7859303,0.006816276,0.1328769,0.0009882769,0.07231771],"study_design_scores_gemma":[0.000008514397,0.0000311173,0.00007385021,0.000009907128,0.000004786148,0.00003492211,0.000007260753,0.9649113,0.001282394,0.03309542,0.0005306106,0.000009943882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007389571,0.0006470497,0.9908863,0.0001850709,0.0000337388,0.00001360846,0.00002295062,0.00006388393,0.0007577318],"genre_scores_gemma":[0.719677,0.002148949,0.2749578,0.0001803159,0.000151059,0.0001594588,0.0001564108,0.00004458627,0.002524406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001785911,"threshold_uncertainty_score":0.005644679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046260093278066,"score_gpt":0.2709164507378465,"score_spread":0.2604538498050658,"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."}}