{"id":"W2479114928","doi":"10.4018/978-1-60566-665-5.ch017","title":"Data Gathering in Correlated Wireless Sensor Networks with Cooperative Transmission","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Transmission (telecommunications); Node (physics); Wireless sensor network; Constellation; Computer science; Coding (social sciences); Topology (electrical circuits); Wireless; Algorithm; Channel (broadcasting); Computer network; Mathematics; Engineering; Statistics; Telecommunications","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":[0.0007196499,0.0006153062,0.0005701391,0.000357986,0.0003118915,0.0006943561,0.0007075442,0.0005880928,0.0009246798],"category_scores_gemma":[0.001346583,0.0003222782,0.000391798,0.001203904,0.0008175081,0.001301908,0.0008353493,0.0007334296,0.0002751115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000506008,"about_ca_system_score_gemma":0.0004067107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003720293,"about_ca_topic_score_gemma":0.0003783175,"domain_scores_codex":[0.9995719,0.000169865,0.00001266897,0.00006349885,0.0001544202,0.00002769454],"domain_scores_gemma":[0.9993493,0.0004955545,0.00004129224,0.00004840239,0.00005141501,0.00001390977],"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":[0.00006994059,0.00005283673,0.0003912194,0.0005634983,0.00004964271,0.0002423849,0.0003200805,0.6381466,0.01310773,0.2156569,0.002954707,0.1284445],"study_design_scores_gemma":[0.00001304874,0.00009911552,0.0002059352,0.00005744616,0.00002090708,0.0002002592,0.00007664044,0.9069541,0.002677184,0.08077808,0.008900763,0.0000165201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02236382,0.004423588,0.9596425,0.0003449935,0.00009325606,0.00003976706,0.00002777091,0.0001036911,0.01296062],"genre_scores_gemma":[0.7272732,0.01561355,0.242867,0.0002613244,0.0002947481,0.0002659477,0.000107393,0.00008429454,0.01323253],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009246798,"threshold_uncertainty_score":0.003805935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740470022934637,"score_gpt":0.2649968056404916,"score_spread":0.2275921054111452,"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."}}