{"id":"W2105470729","doi":"10.1109/isspit.2009.5407585","title":"Flooding Zone Control Protocol (FZCP): enhancing the reliability of real-time multimedia delivery in WSNs","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Network packet; Flooding (psychology); Computer network; Packet loss; Real-time computing; Wireless sensor network; Overhead (engineering); Redundancy (engineering); Efficient energy use; Initialization; Network congestion; Embedded system; 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":[0.001304457,0.0002022338,0.0003515963,0.0001161446,0.00009595353,0.00005930563,0.001016159,0.0001146402,0.00003224329],"category_scores_gemma":[0.0002089537,0.0001399012,0.0001013814,0.0006635418,0.00008947522,0.0003125959,0.0001331616,0.0002475282,0.00002425304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009380936,"about_ca_system_score_gemma":0.00008268885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003272885,"about_ca_topic_score_gemma":0.00009240996,"domain_scores_codex":[0.997609,0.0002903483,0.0006860381,0.0005047184,0.000426862,0.0004829936],"domain_scores_gemma":[0.9976282,0.0009375766,0.0002090206,0.0009811725,0.0001586684,0.00008541817],"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":[0.0001572466,0.0008261034,0.001813745,0.00003957826,0.00001843773,0.00003351081,0.001731218,0.8038579,0.1490948,0.005439281,0.0004637645,0.03652445],"study_design_scores_gemma":[0.001059867,0.0001466319,0.006059342,0.0001007958,0.000004298224,0.000002796145,0.00002458881,0.9676608,0.02456617,0.0001058014,0.00008332071,0.0001855542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.449664,0.00001157013,0.4985484,0.001438855,0.0002061234,0.04027107,0.000001895921,0.0004978825,0.009360171],"genre_scores_gemma":[0.9448885,0.000002973789,0.05174065,0.0002212235,0.00006756608,0.002854716,6.471852e-7,0.000009360168,0.0002143509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4952245,"threshold_uncertainty_score":0.5705004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006167833195817175,"score_gpt":0.2314653268189191,"score_spread":0.2252974936231019,"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."}}