{"id":"W2396596880","doi":"","title":"Recognition in Ad Hoc Pervasive Networks.","year":2008,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mobile ad hoc network; Protocol (science); Wireless ad hoc network; Context (archaeology); Computer security; Computer network; Wireless; Network packet","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":[0.001587749,0.000767039,0.0008612486,0.001082998,0.001281354,0.003060604,0.00149947,0.002794042,0.003153477],"category_scores_gemma":[0.006247301,0.0004697926,0.0005259732,0.002110872,0.003109171,0.008228218,0.002855734,0.003142619,0.001301445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001036377,"about_ca_system_score_gemma":0.0006173895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006839767,"about_ca_topic_score_gemma":0.0004932459,"domain_scores_codex":[0.9977553,0.0008543686,0.0001560971,0.0004415736,0.0006424086,0.0001503077],"domain_scores_gemma":[0.9966806,0.001906655,0.0003504489,0.0005624554,0.0003145094,0.0001853446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007046483,0.00004043183,0.0009393052,0.0005713884,0.00003278282,0.0006565874,0.0004049479,0.01822844,0.001896783,0.8145894,0.01340257,0.1491669],"study_design_scores_gemma":[0.00003405316,0.0001032627,0.0005818096,0.0001932424,0.00004453304,0.002437181,0.0004627008,0.1529232,0.0028076,0.7273041,0.1130604,0.00004791414],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01254645,0.02420034,0.9191287,0.008606027,0.002308658,0.0001897812,0.0001348696,0.0005077079,0.03237751],"genre_scores_gemma":[0.6485599,0.03013597,0.2762842,0.002481724,0.003424185,0.0005461673,0.0005602257,0.000133763,0.03787392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003153477,"threshold_uncertainty_score":0.01054943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716520680306837,"score_gpt":0.2498983125577346,"score_spread":0.2227331057546663,"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."}}