{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004133821,0.0007555399,0.001105714,0.0006718267,0.000178831,0.0001330493,0.002814604,0.001015048,0.0000500863],"category_scores_gemma":[0.0002152099,0.0008683295,0.0004098253,0.0004315723,0.0005701371,0.0002205529,0.004921376,0.003805146,0.0003967894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002531949,"about_ca_system_score_gemma":0.000313616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008334965,"about_ca_topic_score_gemma":0.0005572515,"domain_scores_codex":[0.994366,0.001013319,0.0009918439,0.002018736,0.0004124955,0.001197541],"domain_scores_gemma":[0.995787,0.00114711,0.0005931233,0.002026713,0.0001848552,0.0002611601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003686335,0.0010343,0.007776689,0.0002613046,0.0005460396,0.005650134,0.03377564,0.2079558,0.00009184435,0.3510601,0.006090009,0.3853896],"study_design_scores_gemma":[0.0008442258,0.0001183455,0.01157337,0.0004358799,0.00002475503,0.0005219838,0.000114507,0.2766154,0.00009818238,0.7069646,0.001557796,0.001130991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1489986,0.001601457,0.8401826,0.001466896,0.002991711,0.0009776583,0.00003174141,0.0004593087,0.003289983],"genre_scores_gemma":[0.2064424,0.02024422,0.7702702,0.001294048,0.0007185852,0.0005446886,0.0003775099,0.0001050177,0.000003311034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3842586,"threshold_uncertainty_score":0.9993767,"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."}}