{"id":"W2093850492","doi":"10.1504/ijsnet.2010.033204","title":"A multipath QoS routing protocol in wireless sensor networks","year":2010,"lang":"en","type":"article","venue":"International Journal of Sensor Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Computer network; Wireless sensor network; Routing protocol; Multipath routing; Wireless Routing Protocol; Dynamic Source Routing; Zone Routing Protocol; Network packet; Distributed computing; Key distribution in wireless sensor networks; Quality of service; Wireless network; Wireless; 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":[0.0006346654,0.0005522233,0.0004532935,0.0006702298,0.0008460315,0.0008959097,0.0009185178,0.0008208503,0.001514427],"category_scores_gemma":[0.001731385,0.0002357239,0.0004036677,0.001415831,0.0005320424,0.001370871,0.0009173056,0.000978971,0.0005843062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005790929,"about_ca_system_score_gemma":0.001056323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570132,"about_ca_topic_score_gemma":0.001364314,"domain_scores_codex":[0.9993832,0.0001436461,0.00004689919,0.00007186378,0.0003094588,0.00004481036],"domain_scores_gemma":[0.9994885,0.0001556663,0.00008212319,0.00006612908,0.00016504,0.00004254032],"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":[0.0003313912,0.0001151786,0.001388175,0.001100004,0.0001282213,0.000820067,0.0003815388,0.09954042,0.05220702,0.1503949,0.02550531,0.6680878],"study_design_scores_gemma":[0.0001360336,0.0006340528,0.001076436,0.0002221641,0.0001915043,0.002430855,0.0002258018,0.5090107,0.03472659,0.09771594,0.353431,0.0001988587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01318328,0.007986205,0.9630659,0.001322307,0.000950431,0.000316354,0.000228535,0.002888197,0.0100588],"genre_scores_gemma":[0.3364668,0.0113831,0.6355488,0.0006920377,0.0007471028,0.000692689,0.0006383743,0.0002888455,0.01354223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001570132,"threshold_uncertainty_score":0.005066276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009362487603502457,"score_gpt":0.2680651941066977,"score_spread":0.2587027065031953,"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."}}