{"id":"W29220803","doi":"10.1007/978-1-4939-0413-6_3","title":"Trust-Aware Cooperative Networking","year":2013,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Trustworthiness; Throughput; Computer science; Selection (genetic algorithm); Transmission (telecommunications); Computer network; Scheme (mathematics); Power (physics); Energy (signal processing); Computer security; Telecommunications; Wireless; Artificial intelligence","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","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001211234,0.0006268462,0.0006415684,0.0006953518,0.0006702535,0.001305868,0.006146809,0.0002415619,0.000277075],"category_scores_gemma":[0.00002539272,0.0006308203,0.0001437384,0.0008687234,0.0008284592,0.001422776,0.0048249,0.001136906,0.0005128149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000492211,"about_ca_system_score_gemma":0.0006679134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001125715,"about_ca_topic_score_gemma":0.00004561891,"domain_scores_codex":[0.9957718,0.00008009381,0.0007644071,0.001637988,0.0008862303,0.0008595287],"domain_scores_gemma":[0.9960832,0.0002135516,0.0003502386,0.002485301,0.0005725999,0.0002950795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001577746,0.00002204085,0.00004503985,0.00001195094,0.00001411594,0.00003607509,0.0004693949,0.00151722,0.00002678098,0.5936237,0.0008071698,0.4034249],"study_design_scores_gemma":[0.0003965995,0.0001267104,0.0004827329,0.0008012539,0.000006471357,0.00003766116,0.000002175183,0.7805657,0.0001217535,0.007826681,0.208357,0.001275238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007089378,0.001198819,0.7119551,0.0007180991,0.002292441,0.0006196553,0.000001446471,0.0003393621,0.2828042],"genre_scores_gemma":[0.3695356,0.01282747,0.3462959,0.01105947,0.004861524,0.0002996197,0.00003070525,0.0003799663,0.2547098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7790486,"threshold_uncertainty_score":0.9997309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798933769204161,"score_gpt":0.2626949324874799,"score_spread":0.2247055947954383,"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."}}