{"id":"W2046767600","doi":"10.1109/iscc.2008.4625729","title":"Flooding Zone Initialization Protocol (FZIP): Enabling efficient multimedia diffusion for multi-hop wireless networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Flooding (psychology); Computer science; Computer network; Unicast; Initialization; Network packet; Wireless ad hoc network; Wireless network; Wireless; Distributed computing; Real-time computing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005006344,0.0004288343,0.0004196044,0.0002946942,0.0009463824,0.0001920783,0.0009925422,0.0002898195,0.00001552065],"category_scores_gemma":[0.0001063326,0.0003883658,0.0001809828,0.001039331,0.0001357272,0.0003526016,0.0004548595,0.0002749563,0.00001740027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339352,"about_ca_system_score_gemma":0.00008765254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005113463,"about_ca_topic_score_gemma":0.00003168468,"domain_scores_codex":[0.9965575,0.0001533349,0.0007476445,0.001003582,0.0005960097,0.0009419494],"domain_scores_gemma":[0.9978366,0.0003830495,0.0003164985,0.0007958882,0.0004031952,0.0002647819],"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":[0.000049887,0.0005544437,0.0004130476,0.00003868698,0.00001661005,0.00002732507,0.0007839882,0.9724222,0.001569608,0.003086563,0.000235684,0.02080199],"study_design_scores_gemma":[0.003119261,0.0001097632,0.0002533619,0.0001135259,0.000007821813,0.00001770271,0.00003830249,0.9888092,0.005544923,0.00000331173,0.001478259,0.0005045178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03717734,0.00001860591,0.9324211,0.0000746198,0.0008158297,0.02849586,0.000001560124,0.0008158371,0.0001792659],"genre_scores_gemma":[0.6289944,0.0000210353,0.3339302,0.0003580291,0.0006801981,0.03532145,0.00004271711,0.00009320214,0.000558738],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5984909,"threshold_uncertainty_score":0.9998568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04026243848577386,"score_gpt":0.2813083085963975,"score_spread":0.2410458701106236,"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."}}