{"id":"W2044991016","doi":"10.1145/1281492.1281495","title":"The self-protection problem in wireless sensor networks","year":2007,"lang":"en","type":"article","venue":"ACM Transactions on Sensor Networks","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Wireless sensor network; Distributed computing; Key distribution in wireless sensor networks; Computer network; Focus (optics); Computer security; Scheduling (production processes); Wireless network; Energy consumption; Wireless; Object (grammar); Telecommunications; 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","sts"],"consensus_categories":[],"category_scores_codex":[0.001923433,0.0006305025,0.0004791216,0.0004090984,0.001309978,0.0004505042,0.002024334,0.0006331173,0.0000117204],"category_scores_gemma":[0.00002947247,0.0005305717,0.000299777,0.002869415,0.0001905951,0.0004415863,0.00006891097,0.002040096,0.00004831348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004066716,"about_ca_system_score_gemma":0.00006252161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001495445,"about_ca_topic_score_gemma":0.0007996627,"domain_scores_codex":[0.994693,0.0004588744,0.001076209,0.001205857,0.0007509862,0.001815109],"domain_scores_gemma":[0.9949868,0.001714584,0.0003307259,0.002420286,0.0002224803,0.000325162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001063526,0.0002351285,0.00008583578,0.000006073114,0.00005797377,0.00006666184,0.0001482074,0.8252736,0.00006841044,0.001316534,0.00007733247,0.1725579],"study_design_scores_gemma":[0.0009443773,0.0002020099,0.00119111,0.0001137318,0.0000288035,0.0001210327,0.000166321,0.9914575,0.0006263003,0.0001595294,0.004299791,0.0006894508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01879861,0.0002206359,0.9741033,0.001615303,0.002240519,0.0009319753,0.00000138719,0.001105864,0.0009823618],"genre_scores_gemma":[0.9440941,0.0007765787,0.05327331,0.0004900511,0.0005211245,0.0001101677,0.000004645432,0.0001001138,0.0006298688],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9252955,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012093719270081,"score_gpt":0.2252350956618595,"score_spread":0.2131413763917784,"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."}}