{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005044747,0.0004329382,0.0003657352,0.0003637624,0.0005507371,0.0004462709,0.0009257871,0.0007356261,0.000882902],"category_scores_gemma":[0.001000215,0.0001429535,0.0003167843,0.000595631,0.0004813151,0.0009447887,0.0009456244,0.0006519659,0.0004042662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003191196,"about_ca_system_score_gemma":0.000489462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002915801,"about_ca_topic_score_gemma":0.0005131261,"domain_scores_codex":[0.999594,0.0001189331,0.00002039719,0.00007120743,0.0001503486,0.00004508437],"domain_scores_gemma":[0.9996091,0.0001167623,0.0000481577,0.00009150193,0.0001039898,0.00003059172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003258806,0.0001742931,0.0006463201,0.0006428047,0.0001431864,0.001011234,0.0006107229,0.08696872,0.2043097,0.2931564,0.0130716,0.3989391],"study_design_scores_gemma":[0.0001190795,0.0009247316,0.0007509019,0.00007096773,0.0001159603,0.00315784,0.0001346691,0.8112929,0.03814164,0.06290326,0.08228634,0.000101761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02769373,0.002710191,0.9593026,0.000524691,0.0003780352,0.0001830823,0.0000668951,0.0003886277,0.008752113],"genre_scores_gemma":[0.7051589,0.002468711,0.2774448,0.0005296001,0.000246084,0.0004334328,0.0001560865,0.00003885276,0.01352375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009257871,"threshold_uncertainty_score":0.002953589,"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."}}