{"id":"W3021854928","doi":"10.1016/j.aci.2020.03.003","title":"ODCR: Energy Efficient and Reliable Density Clustered-based routing protocol for emergency sensor applications","year":2020,"lang":"en","type":"article","venue":"Applied Computing and Informatics","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Computer science; Computer network; Routing protocol; Network packet; Protocol (science); Zone Routing Protocol; Wireless sensor network; Routing (electronic design automation); Wireless Routing Protocol; Distributed computing","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":[0.0002785416,0.0002408336,0.000269291,0.00006373153,0.0005518743,0.000180765,0.0003711816,0.0001037749,9.436465e-7],"category_scores_gemma":[0.00002028583,0.0002319374,0.00004892222,0.0003916835,0.00005488341,0.00008475959,0.0003901164,0.0001543953,0.000003488321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002368974,"about_ca_system_score_gemma":0.0000432406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006304538,"about_ca_topic_score_gemma":8.232201e-7,"domain_scores_codex":[0.9983238,0.00001806538,0.0006775447,0.0003262853,0.0002307367,0.0004235818],"domain_scores_gemma":[0.9987767,0.000168752,0.0003666382,0.0003541503,0.0001210607,0.0002126786],"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":[0.00002902779,0.0000610448,0.0001536234,0.0004001162,0.00001837731,4.55356e-7,0.00170348,0.8732902,0.0001126839,0.08881168,0.0009351512,0.03448415],"study_design_scores_gemma":[0.0008895538,0.00006830515,0.00002785607,0.00003222748,0.000008752338,0.000004171333,0.0001359248,0.9844093,0.0009590077,0.0001246423,0.01306891,0.0002713659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00360419,0.000005807418,0.9810222,0.0002615836,0.00004816919,0.01349389,0.000002158271,0.0003295252,0.001232429],"genre_scores_gemma":[0.5834306,0.000002597832,0.4029495,0.001840541,0.0002075225,0.01150547,0.00001714521,0.00002937657,0.00001716855],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5798265,"threshold_uncertainty_score":0.9458132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668454001376699,"score_gpt":0.2470720528559961,"score_spread":0.2303875128422292,"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."}}