{"id":"W3198009227","doi":"10.1007/s11277-021-09009-7","title":"Fuzzy Routing Protocol for D2D Communications Based on Probabilistic Normed Spaces","year":2021,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; St. Francis Xavier University","funders":"","keywords":"Computer science; Path vector protocol; Probabilistic logic; Routing protocol; Shortest path problem; Node (physics); Routing (electronic design automation); Protocol (science); Computer network; Metric (unit); Fuzzy logic; Stability (learning theory); Path (computing); Metric space; Set (abstract data type); Distributed computing; Mathematical optimization; Wireless Routing Protocol; Theoretical computer science; Artificial intelligence; Mathematics; Machine learning; Discrete mathematics","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":[0.0006338281,0.0002630996,0.0002990425,0.00009623707,0.001395709,0.0004193592,0.00511403,0.000126654,0.00001884516],"category_scores_gemma":[0.0002070517,0.000274747,0.0002007423,0.000833841,0.000355862,0.000308691,0.001532791,0.0005571281,0.00003726605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002107868,"about_ca_system_score_gemma":0.0007404489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003477322,"about_ca_topic_score_gemma":0.000509562,"domain_scores_codex":[0.9975582,0.0005827283,0.0004857898,0.0005306001,0.0003852271,0.0004574828],"domain_scores_gemma":[0.9896942,0.002598233,0.000277342,0.006656201,0.0006131516,0.0001608217],"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":[0.00005488864,0.002227678,0.0008397872,0.000202993,0.00007926368,0.000004422041,0.002812522,0.001456814,0.000610955,0.935266,0.003616127,0.05282852],"study_design_scores_gemma":[0.001011388,0.0001027778,0.0003379425,0.0002535351,0.00001697038,0.000008761978,0.0002247541,0.9575814,0.0001354096,0.003330992,0.03666729,0.0003287722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007067741,0.0002102258,0.652818,0.0936562,0.0002775113,0.1793421,0.0001646937,0.001417342,0.07140712],"genre_scores_gemma":[0.5445974,0.00000946514,0.1507296,0.001026567,0.00006052246,0.3031254,0.0001344109,0.00003547175,0.0002810636],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9561246,"threshold_uncertainty_score":0.9999705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06864362942295127,"score_gpt":0.3380428857664586,"score_spread":0.2693992563435073,"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."}}