{"id":"W2044531165","doi":"10.1145/1966913.1966978","title":"Optimal message transmission protocols with flexible parameters","year":2011,"lang":"en","type":"article","venue":"","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Computer science; Communication source; Computer network; Reliability (semiconductor); Protocol (science); Transmission (telecommunications); Adversary; Communications protocol; Distributed computing; Power (physics); Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001593345,0.0001742715,0.0001716617,0.00006887224,0.00008793761,0.0001095289,0.0009455043,0.00008406494,0.0001668475],"category_scores_gemma":[0.000003066152,0.0001228729,0.00005241425,0.0003424153,0.0000716664,0.0005196519,0.00008116377,0.0001736006,0.00005730831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001839511,"about_ca_system_score_gemma":0.00004222382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004905562,"about_ca_topic_score_gemma":0.000002160208,"domain_scores_codex":[0.9986551,0.00005762119,0.0001852634,0.000418029,0.0003062001,0.0003777278],"domain_scores_gemma":[0.9990264,0.00004406118,0.00005897774,0.0006579768,0.00005004185,0.0001625698],"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":[0.001269691,0.002651515,0.005615481,0.0003127824,0.0003441975,0.0008526872,0.04108871,0.02317122,0.00350687,0.4222091,0.01039508,0.4885827],"study_design_scores_gemma":[0.003596859,0.002847838,0.003074714,0.0005077177,0.00003133853,0.0002786188,0.0003009551,0.5601221,0.4008223,0.004894043,0.02164571,0.001877776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01181872,0.00001154776,0.9529899,0.0001497015,0.00004250048,0.004516641,2.729092e-7,0.0006097365,0.02986099],"genre_scores_gemma":[0.2040564,0.000002705618,0.7934042,0.0002786098,0.00001700978,0.001693415,6.743858e-7,0.0000172339,0.0005297789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5369509,"threshold_uncertainty_score":0.5010611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04567124974500329,"score_gpt":0.2586474764152342,"score_spread":0.2129762266702309,"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."}}