{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"460218ca1f9e","filters":{"venue":"2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)"}},"results":[{"id":"W4312579541","doi":"10.1109/mass56207.2022.00071","title":"PRE-SLAM: Persistence Reasoning in Edge-assisted Visual SLAM","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Computer science; Leverage (statistics); Enhanced Data Rates for GSM Evolution; Computer vision; Simultaneous localization and mapping; Artificial intelligence; Feature (linguistics); Filter (signal processing); Overhead (engineering); Mobile robot; Robot","authors":[{"name":"Timothy Chase","is_ca":false},{"name":"Ali J. Ben Ali","is_ca":false},{"name":"Steven Y. Ko","is_ca":true},{"name":"Karthik Dantu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02350010394943466,"gpt":0.2517684829845486,"spread":0.2282683790351139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003526958,0.0002489386,0.0003031054,0.0002860505,0.0002104158,0.0001580153,0.0002841974,0.00008697654,0.0003567094],"category_scores_gemma":[0.00002854361,0.0002747024,0.00007608603,0.0002172567,0.00004213231,0.00014888,0.00004808156,0.0003988716,0.00002273074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593452,"about_ca_system_score_gemma":0.00006474851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006792287,"about_ca_topic_score_gemma":0.00006196865,"domain_scores_codex":[0.9980657,0.0001446146,0.0004782566,0.0004179918,0.0005976878,0.0002958201],"domain_scores_gemma":[0.999388,0.00007259713,0.0001097523,0.0002043225,0.0001231109,0.0001021963],"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":[0.0001691921,0.0001537451,0.006439746,0.0001604224,0.0001624497,0.00009408306,0.001415692,0.95516,0.01979639,0.01006762,0.001255207,0.005125447],"study_design_scores_gemma":[0.0006463861,0.0002865399,0.001857108,0.0001525819,0.0000149355,0.00002767812,0.001757421,0.9850215,0.0002341495,0.00005116499,0.009605097,0.0003454586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527124,0.001726803,0.01525357,0.0001476561,0.00703652,0.001144023,0.0001940688,0.0003243189,0.02146062],"genre_scores_gemma":[0.9959123,0.0003304995,0.0001127122,0.00004500108,0.0001107956,0.0004075464,0.0001514056,0.00003981007,0.002889966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04319984,"threshold_uncertainty_score":0.9999705,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312998458","doi":"10.1109/mass56207.2022.00070","title":"An Accurate and Energy-Efficient Anomaly Detection in Edge-Cloud Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Anomaly detection; Anomaly (physics); Enhanced Data Rates for GSM Evolution; Boundary (topology); Data mining; Edge computing; Artificial intelligence; Mathematics","authors":[{"name":"Yi Li","is_ca":false},{"name":"Deng Zhao","is_ca":false},{"name":"Patrick C. K. Hung","is_ca":true},{"name":"Lei Shu","is_ca":false},{"name":"Zhangbing Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0168579270106113,"gpt":0.2559509576161777,"spread":0.2390930306055664,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004695278,0.0001980207,0.0002105141,0.000281299,0.0004296443,0.000308466,0.0005654603,0.00007646744,0.00007280955],"category_scores_gemma":[0.000005298697,0.0002058133,0.00004669597,0.0003637685,0.00005246045,0.0002372992,0.0001437808,0.0003101194,0.000004959629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677452,"about_ca_system_score_gemma":0.00005286129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001542264,"about_ca_topic_score_gemma":0.00007516941,"domain_scores_codex":[0.9981366,0.0002012794,0.0003956858,0.0006526341,0.00037518,0.0002385894],"domain_scores_gemma":[0.9991295,0.0000565414,0.0002066994,0.0003752907,0.0001085933,0.0001233848],"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":[0.000315941,0.0009369972,0.003079909,0.00005785027,0.000157355,0.00008939497,0.00153441,0.2263205,0.04605038,0.4621202,0.001209169,0.2581279],"study_design_scores_gemma":[0.0002912558,0.0005033294,0.0006228854,0.000018648,0.000004359307,0.00004410889,0.0004154751,0.9762251,0.0005652749,0.0004820503,0.02058204,0.0002454629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2290654,0.0005864018,0.7645486,0.0001963294,0.00229561,0.0004706233,0.00004284759,0.0002430903,0.002551093],"genre_scores_gemma":[0.9966927,0.0003158293,0.0002612622,0.0001292156,0.0001301113,0.001383007,0.00001824428,0.00001401675,0.001055645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7676272,"threshold_uncertainty_score":0.8392821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}