{"meta":{"query_hash":"2ff252759483","filters":{"venue":"The 5th International Conference on Future Networks &amp; Distributed Systems"},"cohort_total":3,"direct_labels_cover":0,"predictions_cover":3,"exported":3,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/2ff252759483","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+5th+International+Conference+on+Future+Networks+%26amp%3B+Distributed+Systems"},"results":[{"id":"W4225810590","doi":"10.1145/3508072.3508090","title":"Blockchain-based E-commerce for the COVID-19 economic crisis","year":2021,"lang":"en","type":"article","venue":"The 5th International Conference on Future Networks &amp; Distributed Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Blockchain; Coronavirus disease 2019 (COVID-19); E-commerce; Computer science; Business; Computer security; World Wide Web","score_opus":0.05451206057386894,"score_gpt":0.31536283369717016,"score_spread":0.26085077312330124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225810590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010608367,0.00060921325,0.8217182,0.17232877,0.0026300077,0.00059284375,0.0005203799,0.00024059648,0.00029915888],"genre_scores_gemma":[0.99029994,0.00009403792,0.00087031093,0.0057973224,0.0012470103,0.0007321951,0.0005704793,0.00001761135,0.0003711128],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978816,0.0002550107,0.0005002886,0.000645116,0.000316396,0.00040161927],"domain_scores_gemma":[0.9964101,0.0010205146,0.0003475522,0.0016420082,0.00042998593,0.00014988867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010076994,0.00028934007,0.00029563796,0.00007142988,0.00079903257,0.0004915862,0.0030004366,0.00027918638,0.00010912694],"category_scores_gemma":[0.00013169575,0.00019365757,0.00019569181,0.00034737968,0.00014849914,0.000038634742,0.00026488266,0.0005472494,0.000059665585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033904533,0.00006557539,0.000098218465,0.000011022961,0.00013593059,0.0000020622226,0.0001337405,0.11968308,0.000008328084,0.77903163,0.099842586,0.0009538978],"study_design_scores_gemma":[0.00038240748,0.00001642074,0.00007217382,0.000014419871,0.000019697276,0.000034359688,0.00030061984,0.56405354,0.000008988081,0.004430202,0.4304954,0.00017173211],"about_ca_topic_score_codex":0.00015852314,"about_ca_topic_score_gemma":0.0005945271,"teacher_disagreement_score":0.9892391,"about_ca_system_score_codex":0.00030987037,"about_ca_system_score_gemma":0.0004057229,"threshold_uncertainty_score":0.78971267},"labels":[],"label_agreement":null},{"id":"W4226035927","doi":"10.1145/3508072.3508100","title":"An Efficient DeFi-based Data Warehousing Approach in Supply Chain Finance","year":2021,"lang":"en","type":"article","venue":"The 5th International Conference on Future Networks &amp; Distributed Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Supply chain; Data warehouse; Computer science; Data science; Business; Finance; Database; Marketing","score_opus":0.13179521141575332,"score_gpt":0.3222437174648274,"score_spread":0.19044850604907407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226035927","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089821726,0.0013240092,0.8817628,0.0070758504,0.010079641,0.0010563897,0.0020284173,0.00031660558,0.0065345475],"genre_scores_gemma":[0.9666039,0.000064905566,0.00025701872,0.0007120769,0.0038111638,0.00005343023,0.028358318,0.000031240383,0.00010797807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972726,0.0001175882,0.00058821554,0.0008362041,0.000704293,0.00048108987],"domain_scores_gemma":[0.99729866,0.000089995476,0.0003952034,0.0015468806,0.00064281747,0.00002645412],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0010355575,0.00035797874,0.00035490698,0.00015617577,0.00027359414,0.0012269665,0.0022257734,0.00019511733,0.00021085194],"category_scores_gemma":[0.00013180937,0.00027376565,0.000063165564,0.00097009394,0.000105236366,0.000595378,0.00042172047,0.00054447894,0.00010461295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022712725,0.0005998728,0.006859991,0.00013161186,0.000053248805,0.00002975497,0.000052314143,0.84190583,0.000053553427,0.13221663,0.014176738,0.0036933026],"study_design_scores_gemma":[0.00035984154,0.00000443987,0.0042238617,0.00037637042,0.00002280407,0.000012632093,0.0003663636,0.8819072,0.0000026206674,0.00013131232,0.112268336,0.00032417278],"about_ca_topic_score_codex":0.0005004401,"about_ca_topic_score_gemma":0.0008059494,"teacher_disagreement_score":0.8815058,"about_ca_system_score_codex":0.00011285861,"about_ca_system_score_gemma":0.00013044859,"threshold_uncertainty_score":0.99997145},"labels":[],"label_agreement":null},{"id":"W4226182768","doi":"10.1145/3508072.3508111","title":"Towards Optimal Placement of Cloud Edge Gateways","year":2021,"lang":"en","type":"article","venue":"The 5th International Conference on Future Networks &amp; Distributed Systems","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Cloud computing; Software deployment; Enhanced Data Rates for GSM Evolution; Key (lock); Global Positioning System; Distributed computing; Architecture; Field (mathematics); Real-time computing; The Internet; Edge computing; Computer network; Computer security; Telecommunications; Operating system","score_opus":0.03300617404750839,"score_gpt":0.26713071159346785,"score_spread":0.23412453754595947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226182768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029132722,0.0016029889,0.9364626,0.0013879001,0.013719695,0.00044038115,0.0010430729,0.0006983815,0.0155122755],"genre_scores_gemma":[0.99582547,0.00051977363,0.00015637162,0.00004648878,0.0012541325,0.000049919076,0.0016562128,0.00002567323,0.00046596728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843144,0.00008502571,0.0005014001,0.00023235289,0.0004545655,0.0002952229],"domain_scores_gemma":[0.99881625,0.000058717145,0.00014004891,0.0004653246,0.00046185113,0.000057809753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025892037,0.00025165477,0.00030400103,0.000065056134,0.00009609229,0.000132096,0.0006082724,0.00023145323,0.0003389987],"category_scores_gemma":[0.000057497637,0.00019261037,0.00010726306,0.00028310387,0.00008202454,0.00006597078,0.00010626211,0.000387981,0.000046895708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060259874,0.000046031153,0.00014756309,0.00005644011,0.00025885602,0.000007147381,0.00020217453,0.80024415,0.00030011236,0.1638681,0.033874467,0.00093470985],"study_design_scores_gemma":[0.0011599237,0.00007272603,0.0005988206,0.0005103558,0.00007322227,0.000070946626,0.0036910714,0.6973072,0.0026848244,0.0006076365,0.29255572,0.00066752173],"about_ca_topic_score_codex":0.0000172753,"about_ca_topic_score_gemma":0.000037433212,"teacher_disagreement_score":0.96669275,"about_ca_system_score_codex":0.00016301629,"about_ca_system_score_gemma":0.00006439879,"threshold_uncertainty_score":0.7854423},"labels":[],"label_agreement":null}]}