{"meta":{"query_hash":"7b62e3048541","filters":{"venue":"Frontiers of Electrical and Electronic Engineering in China"},"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/7b62e3048541","api":"https://metacan.xera.ac/api/v1/cohort?venue=Frontiers+of+Electrical+and+Electronic+Engineering+in+China"},"results":[{"id":"W2049110263","doi":"10.1007/s11460-011-0132-4","title":"Agents learned, but do we? Knowledge discovery using the agent-based double auction markets","year":2011,"lang":"en","type":"article","venue":"Frontiers of Electrical and Electronic Engineering in China","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Double auction; Computer science; Price discovery; Artificial intelligence; World Wide Web; Business; Microeconomics; Common value auction; Finance; Economics","score_opus":0.04814832581637596,"score_gpt":0.30174617251586894,"score_spread":0.253597846699493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049110263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.694617,0.0055180914,0.29868907,0.00022104887,0.00024102673,0.00023400305,0.00000215442,0.000036878897,0.000440788],"genre_scores_gemma":[0.9980586,0.00030203225,0.00068390596,0.000009761122,0.000051510015,0.000021177757,0.000001212382,0.000014193639,0.000857579],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984694,0.00009045677,0.00039847862,0.00034486694,0.0002765376,0.0004202457],"domain_scores_gemma":[0.999315,0.00013980093,0.00013095546,0.0003062608,0.000040224004,0.00006771897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010332569,0.00015880555,0.0002419068,0.0002979548,0.00013992062,0.0000586225,0.0003886273,0.00008884226,0.000034179517],"category_scores_gemma":[0.00015272599,0.00011182249,0.00009998683,0.0010753184,0.00008198458,0.0002579874,0.00004691624,0.0003660205,0.0000047538583],"study_design_candidate":"simulation_or_modeling","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":[0.0067354226,0.003744112,0.062048495,0.00020630461,0.00079558085,0.000025145646,0.008904156,0.21064089,0.01833544,0.3295366,0.037829034,0.32119882],"study_design_scores_gemma":[0.003161657,0.00053780555,0.048096016,0.000074911506,0.00011438077,0.000046907342,0.00040528717,0.80146295,0.020781798,0.092988186,0.03151417,0.0008159202],"about_ca_topic_score_codex":0.000036445872,"about_ca_topic_score_gemma":0.0000050696653,"teacher_disagreement_score":0.59082204,"about_ca_system_score_codex":0.00012564493,"about_ca_system_score_gemma":0.00009492053,"threshold_uncertainty_score":0.45599887},"labels":[],"label_agreement":null},{"id":"W2069892019","doi":"10.1007/s11460-011-0162-y","title":"Remanufacturing planning based on constrained ordinal optimization","year":2011,"lang":"en","type":"article","venue":"Frontiers of Electrical and Electronic Engineering in China","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research & Development Corporation","funders":"Tsinghua University; Harvard University","keywords":"Remanufacturing; Ordinal optimization; Computer science; Mathematical optimization; Artificial intelligence; Mathematics; Manufacturing engineering; Machine learning; Ordinal data","score_opus":0.004978120513544607,"score_gpt":0.17224052216198593,"score_spread":0.16726240164844133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069892019","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":[0.1484547,0.0012396891,0.8475842,0.000015230995,0.00012905641,0.00016901406,0.0000013403835,0.00025228038,0.0021545182],"genre_scores_gemma":[0.9830657,0.00012847241,0.016710905,0.0000088317365,0.00002267146,0.000012254206,0.000007843575,0.000032190837,0.000011093097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990167,0.000009241302,0.00024293862,0.00018929235,0.000115922136,0.00042591314],"domain_scores_gemma":[0.9997624,0.000023907176,0.0000353711,0.00010342997,0.00001125539,0.00006360841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011322639,0.00019619007,0.00024065719,0.00034332654,0.000028440196,0.000011949774,0.000101636244,0.00010437683,0.000014169011],"category_scores_gemma":[0.000031592375,0.00019800459,0.00003663033,0.00025153265,0.000017991728,0.00009610505,0.000008037077,0.00033086527,2.390911e-7],"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":[0.000051831983,0.000024703131,0.0010475819,0.00006662515,0.00001733022,0.000003445111,0.00010602214,0.9965979,0.000037554273,0.00028238518,0.00006655631,0.0016981041],"study_design_scores_gemma":[0.00054177875,0.00022599736,0.0051514776,0.000056130666,0.00001136661,0.000003511007,0.0000035435673,0.9865817,0.007021277,0.00012613529,0.0000672884,0.0002098184],"about_ca_topic_score_codex":0.000011528032,"about_ca_topic_score_gemma":7.080995e-7,"teacher_disagreement_score":0.83461106,"about_ca_system_score_codex":0.00009871595,"about_ca_system_score_gemma":0.000023532515,"threshold_uncertainty_score":0.80743927},"labels":[],"label_agreement":null}]}