{"meta":{"query_hash":"c274932edb25","filters":{"venue":"Annals of Emerging Technologies in Computing"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"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/c274932edb25","api":"https://metacan.xera.ac/api/v1/cohort?venue=Annals+of+Emerging+Technologies+in+Computing"},"results":[{"id":"W3116028077","doi":"10.33166/aetic.2020.05.001","title":"Distributed Intelligence at the Edge on IoT Networks","year":2020,"lang":"en","type":"article","venue":"Annals of Emerging Technologies in Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":15,"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 Manitoba","funders":"","keywords":"Computer science; Cloud computing; Smart grid; Internet of Things; Edge computing; Enhanced Data Rates for GSM Evolution; Big data; Implementation; Computer security; Distributed computing; Computer network; Telecommunications; Engineering","score_opus":0.09173176552694602,"score_gpt":0.3260476653150355,"score_spread":0.23431589978808948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116028077","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040069055,0.042749222,0.6280099,0.01528633,0.003594067,0.0001943693,0.00022603426,0.0009364706,0.26893452],"genre_scores_gemma":[0.7832487,0.03312277,0.14623632,0.0029542486,0.0022140387,0.00017093892,0.00023830039,0.00011797062,0.03169671],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950624,0.00012116131,0.000018137704,0.00007922919,0.0002014073,0.00007393295],"domain_scores_gemma":[0.99936503,0.00027074304,0.00004467727,0.00011418429,0.00013075882,0.0000745681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000620075,0.00035529633,0.00043684297,0.00048729754,0.00067803636,0.0029513694,0.0008123164,0.0010243942,0.0029719959],"category_scores_gemma":[0.0015595342,0.0001857629,0.0002302811,0.00079473644,0.0010307702,0.0045306785,0.001960953,0.0016493967,0.00072213233],"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":[0.00010297353,0.000043893866,0.0010270241,0.00025806544,0.00003271417,0.0005275572,0.00026737337,0.019727826,0.003718835,0.8092143,0.018455124,0.14662436],"study_design_scores_gemma":[0.000017275333,0.000063210675,0.00060903194,0.00023110019,0.00002684548,0.00046256176,0.00030110677,0.110359855,0.0020750891,0.70514464,0.18067835,0.000030878484],"about_ca_topic_score_codex":0.00058623403,"about_ca_topic_score_gemma":0.00077312184,"teacher_disagreement_score":0.0029719959,"about_ca_system_score_codex":0.0007129303,"about_ca_system_score_gemma":0.00065537024,"threshold_uncertainty_score":0.009942353},"labels":[],"label_agreement":null},{"id":"W3203926369","doi":"10.33166/aetic.2021.04.004","title":"A Novel Hybrid Signal Decomposition Technique for Transfer Learning Based Industrial Fault Diagnosis","year":2021,"lang":"en","type":"article","venue":"Annals of Emerging Technologies in Computing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Woosong University","keywords":"Leverage (statistics); Hilbert–Huang transform; Artificial intelligence; Computer science; Transfer of learning; Decomposition; Fault (geology); Feature extraction; SIGNAL (programming language); Deep learning; Machine learning; Pattern recognition (psychology); Data mining; Computer vision","score_opus":0.05578365254785102,"score_gpt":0.34506343032030196,"score_spread":0.28927977777245095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203926369","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077714804,0.00020534225,0.9904529,0.00011239495,0.00003754211,0.00002665635,0.000049935155,0.0007685611,0.0005752094],"genre_scores_gemma":[0.4509152,0.00040461138,0.5430535,0.00022621993,0.00010868305,0.00011989572,0.00067532837,0.00015311808,0.0043434636],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996662,0.000067921195,0.000021410828,0.00008121059,0.00011931107,0.00004387899],"domain_scores_gemma":[0.99955446,0.00014176917,0.0000516831,0.00006952864,0.00015292194,0.000029593637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007838226,0.0009612601,0.0007242005,0.0012195515,0.00029611654,0.00057405996,0.00090882776,0.0010366822,0.002419812],"category_scores_gemma":[0.0015713449,0.00024927055,0.0008525236,0.0009856565,0.00039519506,0.0012210115,0.0009843188,0.0013227062,0.0012813769],"study_design_candidate":"bench_or_experimental","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":[0.00024965443,0.00020314463,0.0015527565,0.00013441467,0.000074373966,0.00019142218,0.0001113249,0.16987585,0.04089277,0.008395783,0.004111726,0.7742068],"study_design_scores_gemma":[0.0000051696284,0.000052558455,0.00027303357,0.0000060693565,0.000008693371,0.00006586783,0.000009380666,0.99008805,0.005299475,0.0030072916,0.001177423,0.0000070493647],"about_ca_topic_score_codex":0.0015364959,"about_ca_topic_score_gemma":0.0016240854,"teacher_disagreement_score":0.002419812,"about_ca_system_score_codex":0.0004062424,"about_ca_system_score_gemma":0.0005828061,"threshold_uncertainty_score":0.008095026},"labels":[],"label_agreement":null}]}