{"id":"W2020067241","doi":"10.1109/twc.2014.2378789","title":"Coded Collaborative Spectrum Sensing With Joint Channel Decoding and Decision Fusion","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Decoding methods; Computer science; Algorithm; Hamming code; Factor graph; Quantization (signal processing); Coding (social sciences); Channel (broadcasting); Cascading Style Sheets; Theoretical computer science; Block code; Mathematics; Telecommunications; Statistics","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":[0.001780198,0.0008985645,0.0007889332,0.0006531529,0.0004518782,0.001080854,0.001256553,0.001189528,0.0008082488],"category_scores_gemma":[0.006728399,0.0002831543,0.0005719523,0.0009157098,0.001663568,0.001533889,0.001535469,0.001091367,0.0002771195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009686545,"about_ca_system_score_gemma":0.001249053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833756,"about_ca_topic_score_gemma":0.00220152,"domain_scores_codex":[0.9979264,0.0007635165,0.00008346466,0.0003070471,0.0007323432,0.0001872763],"domain_scores_gemma":[0.9965981,0.002180273,0.0002846043,0.0004962796,0.0003730962,0.0000676618],"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":[0.0003406922,0.0001008753,0.0008927953,0.0002209096,0.00009663565,0.0002422207,0.0002241748,0.6868334,0.02063977,0.1381148,0.000909479,0.1513842],"study_design_scores_gemma":[0.00001422801,0.00007263555,0.00009138638,0.00001571263,0.00001478821,0.0001054969,0.00001540565,0.9738595,0.008627834,0.01643013,0.0007328254,0.0000200508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007747579,0.0001312662,0.990854,0.00006217457,0.00002130767,0.00002572631,0.00001944501,0.00007511223,0.001063292],"genre_scores_gemma":[0.6406285,0.0002832873,0.3571579,0.0001582812,0.00006604424,0.000110253,0.00007918176,0.00003885085,0.001477793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001833756,"threshold_uncertainty_score":0.009414673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01900368971524983,"score_gpt":0.2417368846808165,"score_spread":0.2227331949655666,"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."}}