{"id":"W2109333889","doi":"10.1109/wcnc.2008.336","title":"A Novel Cooperation Scheme for Wireless Sensor Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Base station; Fading; Wireless sensor network; Quality of service; Efficient energy use; Code division multiple access; Bit error rate; Energy (signal processing); Scheme (mathematics); Wireless; Antenna diversity; Channel (broadcasting); Telecommunications; Engineering; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000158742,0.00009318395,0.0001074599,0.0000382065,0.0004313249,0.00007538111,0.0004935389,0.00004340399,0.00001932127],"category_scores_gemma":[0.00002719065,0.00008330754,0.00004420731,0.000304057,0.00003432185,0.0002928646,0.0001611193,0.00008373586,0.00001524601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002367045,"about_ca_system_score_gemma":0.00004885552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002425397,"about_ca_topic_score_gemma":0.00001922527,"domain_scores_codex":[0.9993218,0.0000288982,0.0001669622,0.0002191489,0.00008301139,0.0001802487],"domain_scores_gemma":[0.9990675,0.0001209492,0.00003941489,0.0004722548,0.0002411308,0.00005875678],"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":[0.00001881739,0.0002245929,0.0003961055,0.000006694909,0.00003467128,0.00000249917,0.0008362854,0.004509314,0.03200939,0.8821535,0.02077936,0.0590288],"study_design_scores_gemma":[0.000429322,0.00003195917,0.0002896764,0.000006711293,9.658038e-7,0.00002319696,0.000005379474,0.984964,0.001090419,0.00001251852,0.0130148,0.0001311224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005582317,0.0000967542,0.9905259,0.0013241,0.0001482986,0.0002389256,5.22519e-7,0.0001881352,0.001895033],"genre_scores_gemma":[0.7068049,0.0003554593,0.28885,0.001454598,0.000113809,0.00005770719,0.000008614002,0.000008333338,0.002346589],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9804546,"threshold_uncertainty_score":0.3397183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07090881280064491,"score_gpt":0.2816900866867853,"score_spread":0.2107812738861404,"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."}}