{"meta":{"query_hash":"2ff252759483","filters":{"venue":"The 5th International Conference on Future Networks & 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 & 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":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67857707,0.0066066966,0.2296321,0.008145727,0.00047700864,0.0012072538,0.0006704075,0.0017673029,0.07291637],"genre_scores_gemma":[0.9773926,0.0010894444,0.017596254,0.00018780265,0.000020746158,0.00009549569,0.0002594139,0.00002920626,0.0033290277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853504,0.00071134954,0.000051515395,0.000097746364,0.00040102462,0.00020325788],"domain_scores_gemma":[0.99745363,0.0012880412,0.00019421021,0.00031876191,0.00048150166,0.00026399794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024063394,0.00040345674,0.00043141493,0.00052520074,0.0009987425,0.0020813271,0.00088599947,0.001533985,0.0041661137],"category_scores_gemma":[0.005009464,0.00017511095,0.00030408346,0.00091987837,0.0007604681,0.003976141,0.0015173653,0.0013312623,0.0007586382],"study_design_candidate":"not_applicable","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":[0.002430156,0.0012389944,0.013002489,0.0008326298,0.00011681871,0.0014213624,0.0007777586,0.5495355,0.018221376,0.14116941,0.015480202,0.25577325],"study_design_scores_gemma":[0.00021105168,0.0010396317,0.0039002034,0.00019385062,0.000059793303,0.00043392016,0.00064016355,0.8912203,0.0063309777,0.070260145,0.025641194,0.00006889252],"about_ca_topic_score_codex":0.0052980087,"about_ca_topic_score_gemma":0.0060447794,"teacher_disagreement_score":0.0052980087,"about_ca_system_score_codex":0.0012722064,"about_ca_system_score_gemma":0.002151248,"threshold_uncertainty_score":0.013937056},"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 & 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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026554419,0.00020111019,0.96671784,0.00071009144,0.00003681542,0.00019021708,0.00041717282,0.00069417653,0.0044781663],"genre_scores_gemma":[0.5617785,0.0003834126,0.43370786,0.00013205211,0.00004084971,0.00018070966,0.0006697643,0.00004686284,0.0030600915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990723,0.00028249665,0.00008764284,0.00015046098,0.00029988046,0.000107192966],"domain_scores_gemma":[0.9987418,0.00051726546,0.00009890621,0.00031511657,0.0002618639,0.00006511746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015747261,0.00044859026,0.0008220965,0.0010219071,0.000980507,0.001928597,0.0013836971,0.001142573,0.0035537314],"category_scores_gemma":[0.0031063298,0.00044557147,0.0007785959,0.0019055948,0.00078299764,0.0037611697,0.002098152,0.0010908154,0.00048790453],"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":[0.0001608551,0.00014825989,0.0014443642,0.00014424954,0.000045775985,0.00025343325,0.00015794589,0.8050227,0.0041733147,0.094896466,0.002010659,0.091541894],"study_design_scores_gemma":[0.0000104080245,0.00001665029,0.00007983501,0.0000051270927,0.000004270622,0.000026500298,0.00002278296,0.9814342,0.0006703163,0.016131915,0.0015927945,0.0000052101823],"about_ca_topic_score_codex":0.007915013,"about_ca_topic_score_gemma":0.008091686,"teacher_disagreement_score":0.007915013,"about_ca_system_score_codex":0.0012873018,"about_ca_system_score_gemma":0.002654545,"threshold_uncertainty_score":0.015737891},"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 & 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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07722329,0.00020445911,0.91640925,0.00033841914,0.00006858025,0.0001554052,0.00017340176,0.00066320854,0.0047639557],"genre_scores_gemma":[0.40567684,0.00016208075,0.5917154,0.00010657509,0.000019610416,0.00010365632,0.00020793537,0.00010532944,0.0019025574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997018,0.00007045273,0.000018246732,0.00006637643,0.000064721135,0.000078348436],"domain_scores_gemma":[0.99937755,0.00020376373,0.00009765871,0.000065372595,0.00018749498,0.000068087174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051939895,0.00097144186,0.0008445896,0.000941307,0.00054005143,0.0011055983,0.00081279984,0.00090947916,0.001928663],"category_scores_gemma":[0.0026119507,0.0005174073,0.00038904604,0.00067680905,0.00055271486,0.0007206615,0.0011315203,0.00054461695,0.00073637516],"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":[0.00015779182,0.000089608504,0.0026624033,0.00007964315,0.000018686695,0.00015257813,0.000110261964,0.9039991,0.007746052,0.0117319375,0.004081174,0.069170855],"study_design_scores_gemma":[0.00001958422,0.000030488756,0.0002734552,0.000010177781,0.0000044887915,0.00002782768,0.000051887953,0.99292386,0.002009258,0.0037703023,0.00087314803,0.0000054004067],"about_ca_topic_score_codex":0.0055593727,"about_ca_topic_score_gemma":0.0077109486,"teacher_disagreement_score":0.0055593727,"about_ca_system_score_codex":0.0008981075,"about_ca_system_score_gemma":0.0018711471,"threshold_uncertainty_score":0.011054039},"labels":[],"label_agreement":null}]}