{"id":"W4392378089","doi":"10.18280/ijsse.140111","title":"Network Master Node Assessed Trust Factor with Arbitrary Neighbor Assessment for Secure Route Detection in 6G Enabled Wireless Sensor Networks","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Node (physics); Wireless sensor network; Computer network; Computer science; Wireless; Wireless network; Computer security; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462696,0.0006045982,0.0007089303,0.0007231475,0.0005743878,0.0008003397,0.001268665,0.0006294555,0.0006726563],"category_scores_gemma":[0.005989506,0.0001869272,0.0006940247,0.0006069197,0.0007377766,0.00216102,0.0007869517,0.00074939,0.00016765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001406473,"about_ca_system_score_gemma":0.001074277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005723627,"about_ca_topic_score_gemma":0.006470463,"domain_scores_codex":[0.9983529,0.0005493365,0.00008293163,0.0002789818,0.0005809597,0.0001549096],"domain_scores_gemma":[0.99839,0.000592946,0.0002836869,0.0001657571,0.0004856139,0.00008204232],"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":[0.0004520717,0.0001071429,0.009314706,0.0001997134,0.0001506401,0.0003805535,0.0003675345,0.7663516,0.01168808,0.04403836,0.002055336,0.1648943],"study_design_scores_gemma":[0.000007768071,0.0001084893,0.0006221911,0.000009695544,0.00002816941,0.000116548,0.00003860295,0.990724,0.001604449,0.005884078,0.0008367851,0.00001917388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05291514,0.000652061,0.9430696,0.0002746621,0.00008241876,0.00009921265,0.00005156931,0.0002507975,0.002604404],"genre_scores_gemma":[0.9576678,0.0002642813,0.04073988,0.00004498465,0.0000321881,0.00004954895,0.00005080501,0.00001462107,0.001135906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005723627,"threshold_uncertainty_score":0.01138061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007817429968530819,"score_gpt":0.2273495824952356,"score_spread":0.2195321525267048,"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."}}