{"id":"W2132853556","doi":"10.1109/glocomw.2010.5700133","title":"Multi-objective Reliable multipath routing for wireless sensor networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Multipath routing; Computer network; Routing protocol; Reliability (semiconductor); Zone Routing Protocol; Dynamic Source Routing; Quality of service; Link-state routing protocol; Wireless Routing Protocol; Static routing; Distributed computing; Routing (electronic design automation)","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":[0.0006120946,0.0003373128,0.0003424328,0.0001175345,0.000446267,0.0002796676,0.00113548,0.0003060544,0.00001309269],"category_scores_gemma":[0.0001261923,0.0003043966,0.0001803661,0.000536703,0.00009199174,0.0004092735,0.0003475091,0.000603034,0.0000264091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004936177,"about_ca_system_score_gemma":0.00006018823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000155116,"about_ca_topic_score_gemma":0.0003054802,"domain_scores_codex":[0.9973388,0.00005331735,0.0004220331,0.0009450006,0.0002798515,0.0009610285],"domain_scores_gemma":[0.9976096,0.0005746838,0.00020015,0.001050805,0.0003386089,0.0002261498],"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":[0.0000372386,0.0004067379,0.003102911,0.0000173913,0.00006163567,0.0000241474,0.0007309485,0.8819817,0.02100551,0.06696351,0.001388707,0.02427952],"study_design_scores_gemma":[0.0009643618,0.0000566134,0.0007413602,0.00002186827,0.000008032882,0.00001727558,0.00006255617,0.989963,0.006296348,0.00003282456,0.001408047,0.0004276992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07513626,0.00002118405,0.919504,0.000184711,0.002478634,0.0004989694,0.000002178545,0.0007659368,0.001408102],"genre_scores_gemma":[0.5743068,0.000004817665,0.4235525,0.0002650238,0.0003031808,0.00005304394,0.000005070355,0.00003375682,0.001475838],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4991705,"threshold_uncertainty_score":0.9999408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313061153780291,"score_gpt":0.2425129221246617,"score_spread":0.2293823105868588,"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."}}