{"meta":{"query_hash":"6c0080797f05","filters":{"venue":"Energy & System"},"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/6c0080797f05","api":"https://metacan.xera.ac/api/v1/cohort?venue=Energy+%26+System"},"results":[{"id":"W4410521164","doi":"10.71070/es.v5i1.88","title":"Energy Consumption Prediction using Support Vector Regression","year":2025,"lang":"en","type":"article","venue":"Energy & System","topic":"Energy Load and Power Forecasting","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":"Laurentian University; Cape Breton University; Thompson Rivers University","funders":"","keywords":"Regression analysis; Regression; Statistics; Support vector machine; Energy consumption; Econometrics; Computer science; Mathematics; Machine learning; Biology; Ecology","score_opus":0.013268037753203038,"score_gpt":0.21996425181686,"score_spread":0.20669621406365696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410521164","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":[0.45529446,0.0044778027,0.38237837,0.00003109641,0.01762338,0.00013131923,0.000066829874,0.004186773,0.13580997],"genre_scores_gemma":[0.9974133,0.000072430594,0.00027036402,0.000026815898,0.00034834753,0.000022258868,0.00006431801,0.000037736318,0.0017444342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998906,0.000055366803,0.0003662334,0.00022821008,0.00016521287,0.0002789808],"domain_scores_gemma":[0.9995366,0.000038290367,0.00005830365,0.0002549062,0.000039188257,0.00007273687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119700926,0.00020938642,0.00022966573,0.0001990627,0.00014286063,0.000042543525,0.000113031165,0.00017230911,0.00004668785],"category_scores_gemma":[0.000005460049,0.00019767461,0.00008119974,0.00023556552,0.000020289977,0.00014533101,0.000034436776,0.00008822476,0.000007765919],"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":[0.00010144068,0.00008470678,0.0108066825,0.0022556414,0.00069219095,0.00016199952,0.0005074311,0.41430783,0.23996551,0.22972275,0.023566397,0.07782741],"study_design_scores_gemma":[0.0007364062,0.00004520483,0.000726651,0.0025705118,0.00010652054,0.00011196112,0.00014509418,0.7342128,0.13174379,0.000049677492,0.12906322,0.00048812805],"about_ca_topic_score_codex":0.00015263874,"about_ca_topic_score_gemma":0.000039397968,"teacher_disagreement_score":0.54211885,"about_ca_system_score_codex":0.00027296782,"about_ca_system_score_gemma":0.000034851648,"threshold_uncertainty_score":0.80609363},"labels":[],"label_agreement":null},{"id":"W4410521174","doi":"10.71070/es.v4i1.19","title":"Multi-Scale Numerical Simulation and Optimization Strategies for Wind Farm Layouts in High-Altitude Regions","year":2024,"lang":"en","type":"article","venue":"Energy & System","topic":"3D Modeling in Geospatial Applications","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":"Memorial University of Newfoundland; Northern Alberta Institute of Technology","funders":"","keywords":"Effects of high altitude on humans; Scale (ratio); Environmental science; Computer science; Marine engineering; Meteorology; Aerospace engineering; Engineering; Geography; Cartography","score_opus":0.015833823867707802,"score_gpt":0.24903363706551127,"score_spread":0.23319981319780347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410521174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01204046,0.00040629567,0.9864206,0.00004279599,0.00024773827,0.00019040097,0.000019510404,0.00049983204,0.00013236907],"genre_scores_gemma":[0.9421159,0.00001338512,0.057447165,0.0000061470646,0.00011260972,0.00014735501,0.0000631244,0.00003857649,0.000055726185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993379,0.000015275762,0.00022995206,0.00020204128,0.00007387354,0.00014096788],"domain_scores_gemma":[0.99968994,0.00008359355,0.00001739616,0.00013730366,0.000031767435,0.000039986167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064821565,0.00011416011,0.00013363341,0.00009398211,0.000049848637,0.000088615154,0.000058277514,0.000088803274,0.0000015328004],"category_scores_gemma":[0.000004469362,0.00011741426,0.000026994623,0.00017602848,0.000011743726,0.000115261384,0.000012925362,0.000059157923,0.00000271761],"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":[0.0000018805679,0.000009115166,0.000030599476,0.00014061035,0.000012932324,9.684621e-7,0.00028168343,0.9842164,0.00028912516,0.014466941,0.000016464757,0.00053331297],"study_design_scores_gemma":[0.00018167958,0.000010043964,0.00012375216,0.00011755077,0.000014670698,0.0000021564792,0.00019951788,0.9982934,0.000052829586,0.00011600082,0.00077056856,0.00011780217],"about_ca_topic_score_codex":0.000293775,"about_ca_topic_score_gemma":0.00030079015,"teacher_disagreement_score":0.93007547,"about_ca_system_score_codex":0.000105034014,"about_ca_system_score_gemma":0.000021779988,"threshold_uncertainty_score":0.47880146},"labels":[],"label_agreement":null}]}