{"id":"W1550409118","doi":"","title":"Score based reliable routing in wireless sensor networks","year":2009,"lang":"en","type":"article","venue":"International Conference on Information Networking","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer network; Routing protocol; Packet loss; Network packet; Backup; Wireless sensor network; Link-state routing protocol; Static routing; End-to-end delay; Multipath routing; Zone Routing Protocol; Real-time computing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222051,0.0005740159,0.0006703121,0.0007549939,0.0003720428,0.0008144504,0.0008532834,0.0005516557,0.0005753642],"category_scores_gemma":[0.003274307,0.0002356246,0.0002799621,0.001151961,0.000589769,0.001188568,0.0006735399,0.0004919274,0.0002877805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004735734,"about_ca_system_score_gemma":0.000493398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001050349,"about_ca_topic_score_gemma":0.001112417,"domain_scores_codex":[0.9989938,0.0004163603,0.00004546203,0.00008973626,0.0004018261,0.00005280351],"domain_scores_gemma":[0.9990941,0.0003883085,0.000164503,0.0001193307,0.0001977044,0.00003611501],"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":[0.0002136632,0.00004997712,0.001194291,0.0003102909,0.00007274202,0.0002297137,0.0001819231,0.5879419,0.01404546,0.06945138,0.005457301,0.3208513],"study_design_scores_gemma":[0.00002092404,0.0001528812,0.0003743353,0.00001863662,0.00002165942,0.0001586117,0.00003636227,0.9534521,0.002823102,0.03748896,0.005429205,0.00002324535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02375242,0.003072806,0.9694017,0.0004063902,0.0001174547,0.00007353959,0.00004146686,0.0007350884,0.00239919],"genre_scores_gemma":[0.7085227,0.003914931,0.2823733,0.0001702925,0.0002625343,0.000197283,0.0002032306,0.0001073061,0.00424839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001222051,"threshold_uncertainty_score":0.006462872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260358042438537,"score_gpt":0.2517559849600274,"score_spread":0.2257201807161737,"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."}}