{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"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":"6b09611b3e4b","filters":{"venue":"2019 International Conference on Computing, Networking and Communications (ICNC)"}},"results":[{"id":"W2936217971","doi":"10.1109/iccnc.2019.8685526","title":"A New Prediction Structure for Efficient MV-HEVC based Light Field Video Compression","year":2019,"lang":"en","type":"article","venue":"2019 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Telus (Canada); University of British Columbia","funders":"","keywords":"Computer science; Light field; Parallax; Coding (social sciences); Multiview Video Coding; Data compression; Computer vision; Reference frame; Artificial intelligence; Frame rate; Computer graphics (images); Frame (networking); Video tracking; Video processing; Mathematics; Telecommunications","authors":[{"name":"Joseph Kalil Khoury","is_ca":true},{"name":"Mahsa T. Pourazad","is_ca":true},{"name":"Panos Nasiopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02756754330534891,"gpt":0.3073047164891031,"spread":0.2797371731837542,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002265115,0.0002056794,0.0002002968,0.0001751497,0.0003743778,0.0003581443,0.001774476,0.00008863135,0.00006126521],"category_scores_gemma":[0.00003953585,0.000192095,0.00007773,0.0001944885,0.00003214822,0.0001807354,0.000663428,0.0003572449,0.00002158003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005839905,"about_ca_system_score_gemma":0.0001083098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002549516,"about_ca_topic_score_gemma":0.000005892996,"domain_scores_codex":[0.9985067,0.00009454093,0.0003566528,0.0004748554,0.0003131668,0.0002540875],"domain_scores_gemma":[0.9977086,0.0004960183,0.000272414,0.001149945,0.0002606937,0.0001123307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001238095,0.000204253,0.002919787,0.00003166527,0.00007605079,9.020912e-7,0.0008991054,0.04095775,0.002838541,0.3466825,0.01996866,0.5852969],"study_design_scores_gemma":[0.0007300957,0.0001229317,0.0008127399,0.0004372792,0.000005952641,0.000005216377,0.0000289142,0.9325312,0.0002405809,0.003455816,0.06144134,0.0001879573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002258809,0.0003003147,0.9795877,0.008561921,0.001894212,0.0004085434,0.00001300842,0.0002036442,0.00677186],"genre_scores_gemma":[0.8749261,0.00007653258,0.1230017,0.001155153,0.0002233013,0.000008064436,0.00006425691,0.00001358579,0.0005313022],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8915734,"threshold_uncertainty_score":0.7833408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2936755420","doi":"10.1109/iccnc.2019.8685551","title":"A Decentralized Reputation Management System for Securing the Internet of Vehicles","year":2019,"lang":"en","type":"article","venue":"2019 International Conference on Computing, Networking and Communications (ICNC)","topic":"Vehicular Ad Hoc Networks (VANETs)","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer security; Vehicular ad hoc network; Reputation; Trust management (information system); Denial-of-service attack; Certification; The Internet; Wireless ad hoc network; Sybil attack; Intelligent transportation system; Computer network; Cryptography; Wireless sensor network; Telecommunications; Engineering; Wireless; World Wide Web","authors":[{"name":"Richard Gilles Engoulou","is_ca":true},{"name":"Martine Bellaïche","is_ca":true},{"name":"Talal Halabi","is_ca":true},{"name":"Samuel Pierre","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02392153266579388,"gpt":0.2584012461565116,"spread":0.2344797134907177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004350295,0.0001626063,0.0001950774,0.00009323654,0.0001090123,0.0001210371,0.0008822109,0.00006065693,0.00001147877],"category_scores_gemma":[0.00000627721,0.0001455126,0.00007511229,0.0001164022,0.00006223744,0.00006567182,0.000265227,0.0002120102,0.0000156561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009616069,"about_ca_system_score_gemma":0.00001259835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002355572,"about_ca_topic_score_gemma":0.00001273369,"domain_scores_codex":[0.9988996,0.00008502395,0.0003973341,0.0002011834,0.0001983276,0.0002184934],"domain_scores_gemma":[0.9987072,0.000269323,0.0001827538,0.0006625142,0.0001394523,0.00003873053],"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":[0.00006620186,0.00005652111,0.001439823,0.0002136394,0.0004913817,9.568242e-7,0.001056449,0.5490593,0.0001649271,0.3825597,0.001916238,0.06297489],"study_design_scores_gemma":[0.0004990704,0.00003114021,0.0009923042,0.0007666095,0.00002936252,0.000008190603,0.0003081149,0.9804065,0.00005669821,0.0006381933,0.01612001,0.0001438623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020142,0.004647095,0.2139015,0.001632778,0.004857842,0.003007249,0.0000427176,0.0009000154,0.06899657],"genre_scores_gemma":[0.9942823,0.0007863871,0.004426199,0.00004416484,0.0000922644,0.00003587314,0.00008724738,0.0000263662,0.0002191681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4313472,"threshold_uncertainty_score":0.5933831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2940107935","doi":"10.1109/iccnc.2019.8685509","title":"Toward Secure Resource Allocation in Mobile Cloud Computing: A Matching Game","year":2019,"lang":"en","type":"article","venue":"2019 International Conference on Computing, Networking and Communications (ICNC)","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Cloud computing; Resource allocation; Matching (statistics); Resource (disambiguation); Distributed computing; Mobile cloud computing; Mobile computing; Resource management (computing); Computer security; Computer network; Operating system","authors":[{"name":"Talal Halabi","is_ca":true},{"name":"Martine Bellaïche","is_ca":true},{"name":"Adel Abusitta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04165290253804822,"gpt":0.2946658265835559,"spread":0.2530129240455077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008671562,0.0002702523,0.0002960413,0.0003328363,0.000238742,0.0005624212,0.003158947,0.00013332,0.00002755326],"category_scores_gemma":[0.00001900552,0.0002902492,0.00009159878,0.0005313877,0.0001181661,0.0003290931,0.001761757,0.0007441664,0.00007078928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008623623,"about_ca_system_score_gemma":0.00008404828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616528,"about_ca_topic_score_gemma":0.00006021395,"domain_scores_codex":[0.9977114,0.0003132283,0.0005493114,0.0006415398,0.0004092309,0.0003752644],"domain_scores_gemma":[0.9972749,0.0004676817,0.0003524892,0.001617186,0.0001837534,0.0001039458],"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":[0.00002563882,0.0002337624,0.003386775,0.00001992022,0.00004378038,0.000002752469,0.005702498,0.005440405,0.00006676866,0.9405785,0.0008497639,0.04364944],"study_design_scores_gemma":[0.0007263058,0.0001229708,0.004499759,0.0005956126,0.000006751617,0.00002959262,0.0006602208,0.9053812,0.0000108464,0.02524572,0.0622857,0.0004353097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4247645,0.002770079,0.5070218,0.008289019,0.003284879,0.001426007,0.00003859155,0.0007688319,0.05163633],"genre_scores_gemma":[0.9844335,0.0005992042,0.01391395,0.0005866649,0.000222432,0.00001333118,0.0001574906,0.00001625734,0.00005720279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9153328,"threshold_uncertainty_score":0.9999549,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}