{"id":"W2022963857","doi":"10.1109/bsc.2010.5472947","title":"Reliable Fault-Tolerant Multipath routing protocol for wireless sensor networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Multipath routing; Zone Routing Protocol; Routing protocol; Dynamic Source Routing; Wireless Routing Protocol; Link-state routing protocol; Distributed computing; Source routing; Erasure code; Wireless sensor network; Network packet; Decoding methods; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004335176,0.0004197213,0.0003809033,0.0006083951,0.0004995843,0.0005609099,0.0008476626,0.0007066234,0.001607848],"category_scores_gemma":[0.001153549,0.0001382054,0.0002998944,0.0009516018,0.0003798116,0.0009499861,0.0006228999,0.0007988453,0.0007163761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084472,"about_ca_system_score_gemma":0.000591597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007552498,"about_ca_topic_score_gemma":0.0009393373,"domain_scores_codex":[0.9995688,0.0001015424,0.00002653543,0.00005020666,0.0002199064,0.00003296448],"domain_scores_gemma":[0.9996225,0.00009409964,0.00006319227,0.00005885579,0.0001421928,0.00001927143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002402979,0.00005817733,0.0006022902,0.001499557,0.0001495092,0.0006424201,0.0003953878,0.05621979,0.06737724,0.1645787,0.03705577,0.6711809],"study_design_scores_gemma":[0.0001136073,0.0005628842,0.001103618,0.0002853834,0.0002034141,0.002129321,0.000224071,0.2761287,0.04509584,0.1132154,0.560719,0.0002187923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01104156,0.01489908,0.9561819,0.001628242,0.0008177459,0.0002223422,0.0002829916,0.001990049,0.01293598],"genre_scores_gemma":[0.4127739,0.02032291,0.5405411,0.000965183,0.0007070925,0.001031689,0.001477307,0.0002598564,0.02192101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001607848,"threshold_uncertainty_score":0.005378723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619175447311783,"score_gpt":0.2731163982574907,"score_spread":0.2569246437843729,"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."}}