{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":4,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":4,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"28fb320d9e62","filters":{"venue":"Energy Conversion and Economics"}},"results":[{"id":"W4283361501","doi":"10.1049/enc2.12060","title":"Planning, operation, and trading mechanisms of transactive energy systems in the context of carbon neutrality","year":2022,"lang":"en","type":"article","venue":"Energy Conversion and Economics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Asynchronous communication; Context (archaeology); Energy market; Distributed computing; Renewable energy; Environmental economics; Risk analysis (engineering); Operations research; Engineering; Business; Economics; Telecommunications","authors":[{"name":"Dan Wang","is_ca":false},{"name":"Yue Zhou","is_ca":false},{"name":"Nian Liu","is_ca":false},{"name":"Meysam Qadrdan","is_ca":false},{"name":"Rohit Bhakar","is_ca":false},{"name":"Sahban W. Alnaser","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009764581462822053,"gpt":0.1710740843548733,"spread":0.1613095028920513,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001903748,0.00008199087,0.000167981,0.00008616399,0.00004401044,0.00001018476,0.00008452286,0.00002758595,0.00001343897],"category_scores_gemma":[7.252363e-7,0.00008134565,0.0000206837,0.00004133361,0.00002422191,0.00005767709,0.00002332235,0.00005105355,2.119536e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005269317,"about_ca_system_score_gemma":0.000007353721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403148,"about_ca_topic_score_gemma":0.00008054714,"domain_scores_codex":[0.9994988,0.000054909,0.0002052416,0.0001122831,0.00004279019,0.00008598161],"domain_scores_gemma":[0.999788,0.00004498883,0.00004450691,0.00009603272,0.000004542203,0.00002194364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002835071,0.00001395746,0.0002793206,0.00004093437,0.00005379782,0.000002166488,0.002579301,0.9175828,0.0006997523,0.07816809,0.0000950898,0.0004565146],"study_design_scores_gemma":[0.0006770791,0.00007810732,0.00043566,0.000009482647,0.00001761121,0.000006234607,0.01232249,0.9716632,0.007508771,0.0002305974,0.006921024,0.0001297057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946369,0.0004638381,0.002990519,0.0000609931,0.000411889,0.00004946597,0.00001098986,0.00001461438,0.001360773],"genre_scores_gemma":[0.9996033,0.0002328824,0.0000113691,0.00008301649,0.00001182699,0.00001874014,0.000007662492,0.000009214707,0.00002199294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0779375,"threshold_uncertainty_score":0.3317179,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409651746","doi":"10.1049/enc2.70006","title":"Multi‐phase microgrid resiliency assessment framework against extreme weather events","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Economics","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Extreme weather; Phase (matter); Environmental science; Computer science; Climate change; Geology; Artificial intelligence; Chemistry; Oceanography; Control (management)","authors":[{"name":"Avishek Sapkota","is_ca":true},{"name":"Rajesh Karki","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009585628245418766,"gpt":0.2339958051373099,"spread":0.2244101768918912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007883254,0.0001462424,0.0001648085,0.0001036184,0.0001194497,0.00003147126,0.0001406556,0.0001403664,0.0000783162],"category_scores_gemma":[0.000007448959,0.0001530014,0.00005596734,0.00007569128,0.00004492778,0.0001147259,0.00006827,0.0001427252,0.00001536639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008610001,"about_ca_system_score_gemma":0.00003121516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001613522,"about_ca_topic_score_gemma":0.00001902432,"domain_scores_codex":[0.9993272,0.00001711206,0.00019179,0.0002264401,0.00003248169,0.0002049693],"domain_scores_gemma":[0.9996231,0.00005042117,0.00002587413,0.000200601,0.00001176133,0.00008830348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004999188,0.002519639,0.07929979,0.001086228,0.001523833,0.0001227847,0.004092019,0.207132,0.03948237,0.1362131,0.05786144,0.4701669],"study_design_scores_gemma":[0.002423481,0.00004906879,0.003337388,0.0001534024,0.00002781186,0.000003122718,0.0005384456,0.5533743,0.006806667,0.0009521384,0.4318383,0.0004958867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766974,0.001418884,0.01590618,0.0002042086,0.00193612,0.0000713678,0.00001100367,0.0001214832,0.003633372],"genre_scores_gemma":[0.9855096,0.009265792,0.003408797,0.0006601014,0.00008208756,0.000009089739,0.00001761066,0.00001724324,0.001029659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.469671,"threshold_uncertainty_score":0.6239218,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401402766","doi":"10.1049/enc2.12123","title":"A novel iterative double auction design and simulation platform for packetized energy trading of prosumers in a residential microgrid","year":2024,"lang":"en","type":"article","venue":"Energy Conversion and Economics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Microgrid; Bidding; Demand response; Computer science; Scalability; Double auction; Context (archaeology); Environmental economics; Distributed computing; Business; Electricity; Common value auction; Control (management); Engineering; Microeconomics; Economics","authors":[{"name":"Luyang Hou","is_ca":false},{"name":"Yuanliang Li","is_ca":true},{"name":"Jun Yan","is_ca":true},{"name":"Yuhong Liu","is_ca":false},{"name":"Mohsen Ghafour","is_ca":true},{"name":"Li Wang","is_ca":false},{"name":"Peng Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01969620232384626,"gpt":0.2130411520925637,"spread":0.1933449497687174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001294668,0.0001136279,0.000150021,0.0002270578,0.00002922519,0.00005911271,0.00003204832,0.00006758728,0.000009234542],"category_scores_gemma":[0.000002471269,0.0001274044,0.00003348681,0.0000696881,0.00002473279,0.0002931569,0.00002119566,0.00003391956,2.421e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000844,"about_ca_system_score_gemma":0.00001272997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001076532,"about_ca_topic_score_gemma":0.00006858738,"domain_scores_codex":[0.9994463,0.000005992553,0.0002110609,0.0001856023,0.00002543911,0.0001255956],"domain_scores_gemma":[0.9997755,0.00009144528,0.00002793801,0.00005905671,0.000009870117,0.00003620253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000227926,0.000008434775,0.00001680305,0.0000990012,0.00007221178,9.159489e-7,0.000441489,0.9853309,0.003458632,0.004750436,0.0002454122,0.005347843],"study_design_scores_gemma":[0.001388894,0.00003945912,0.00004363749,0.00004361619,0.00001949493,0.000002301682,0.0001073432,0.9633697,0.01925563,0.0002309668,0.01537223,0.0001267561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6095947,0.0005386008,0.3886283,0.00005381302,0.0008222889,0.0001518302,0.000007055603,0.00007829819,0.0001250865],"genre_scores_gemma":[0.9972467,0.0006877427,0.001806824,0.00001911254,0.00006753775,0.00003134748,0.00002196481,0.00002273668,0.00009598835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.387652,"threshold_uncertainty_score":0.5195402,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283326396","doi":"10.1049/enc2.12059","title":"Tuning of renewable energy bids based on energy risk management: Enhanced microgrids with pareto‐optimal profits for the utility and prosumers","year":2022,"lang":"en","type":"article","venue":"Energy Conversion and Economics","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Microgrid; Renewable energy; CVAR; Wind power; Expected shortfall; Portfolio optimization; Portfolio; Computer science; Microeconomics; Environmental economics; Economics; Engineering; Finance; Electrical engineering","authors":[{"name":"Vivek Mohan","is_ca":false},{"name":"Anjula Mary Antonis","is_ca":true},{"name":"M. Jisma","is_ca":false},{"name":"Nila Krishnakumar","is_ca":false},{"name":"Siqi Bu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005405171520005992,"gpt":0.1574216751005921,"spread":0.1520165035805861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002264004,0.0002248121,0.0002324974,0.0001540089,0.0003237169,0.00003477051,0.0001829146,0.00004553838,0.00005726228],"category_scores_gemma":[0.000002951804,0.0002013461,0.0000578316,0.0001289821,0.00009006874,0.00008611524,0.0001652049,0.00007199184,1.694827e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009419506,"about_ca_system_score_gemma":0.0000186868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006867244,"about_ca_topic_score_gemma":0.0002333643,"domain_scores_codex":[0.9989831,0.00004159714,0.0002404772,0.0003628154,0.00009013346,0.0002818478],"domain_scores_gemma":[0.999355,0.0001149305,0.0001081539,0.0003279306,0.00001852227,0.00007550187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003343742,0.00003053274,0.0004324641,0.00006264336,0.0002079971,0.000001601313,0.00005979219,0.9779974,0.00007856556,0.002681483,0.001765881,0.01634729],"study_design_scores_gemma":[0.001230951,0.0001979633,0.0002266816,0.00001291737,0.00007312096,0.000001189477,0.0004619327,0.7931176,0.007803977,0.00004627592,0.1966086,0.0002187793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5883392,0.001649159,0.3866996,0.000332671,0.001865827,0.0006309127,0.0002011501,0.0003926324,0.01988884],"genre_scores_gemma":[0.9958608,0.001679564,0.001074951,0.0002575058,0.00003832544,0.0002325469,0.00005322816,0.00004537665,0.0007577486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4075215,"threshold_uncertainty_score":0.8210654,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}