{"id":"W3155356553","doi":"10.2316/j.2021.206-0619","title":"CLUSTERING ROUTING PROTOCOL BASED ON GAME THEORY IN WIRELESS SENSOR NETWORKS","year":2021,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Wireless Routing Protocol; Computer science; Cluster analysis; Computer network; Routing protocol; Zone Routing Protocol; Wireless sensor network; Dynamic Source Routing; Protocol (science); Routing (electronic design automation); Artificial intelligence; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005616183,0.00010055,0.0001446036,0.0001913806,0.00003356992,0.0002454556,0.0003154382,0.00006139532,0.000003716281],"category_scores_gemma":[0.00008172708,0.00009269416,0.00005484583,0.000181963,0.00001850575,0.0002468427,0.00009458996,0.0002168575,6.97878e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009596122,"about_ca_system_score_gemma":0.00006864061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001397161,"about_ca_topic_score_gemma":0.000004293792,"domain_scores_codex":[0.9986762,0.0001605061,0.0004472921,0.0001541114,0.0004231835,0.0001386448],"domain_scores_gemma":[0.9988765,0.0002749847,0.0003660017,0.0001227703,0.0003110052,0.00004871651],"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":[0.00002580547,0.00007585133,0.0006209809,0.000005476316,0.00001290034,0.0001593628,0.00007885329,0.9561488,0.0001645438,0.01314571,0.00000644872,0.02955526],"study_design_scores_gemma":[0.000806733,0.00004801323,0.00374825,0.0004035394,0.000002734033,0.0001077926,0.0000196409,0.994064,0.0004000482,0.0002717179,0.00003708136,0.00009049963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008893989,0.000007591954,0.9886042,0.0009418553,0.0005968377,0.0006757728,2.889483e-7,0.00002400439,0.0002554734],"genre_scores_gemma":[0.952019,0.00000556742,0.04735834,0.0003270372,0.000193248,0.00006304187,0.000001853367,0.000008747212,0.00002315694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.943125,"threshold_uncertainty_score":0.3779958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033583903609143,"score_gpt":0.261276493578177,"score_spread":0.2509406545420856,"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."}}