{"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":"230842dbed34","filters":{"venue":"Journal of Energy Management and Technology"}},"results":[{"id":"W2787411904","doi":"10.22109/jemt.2017.46746","title":"A Risk-based Two-stage Stochastic Optimal Power Flow Considering the Impact of Multiple Operational Uncertainties","year":2017,"lang":"en","type":"article","venue":"Journal of Energy Management and Technology","topic":"Electric Power System Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"CVAR; Expected shortfall; Stochastic programming; Electricity market; Procurement; Wind power; Electric power system; Mathematical optimization; Electricity; Reliability engineering; Electricity generation; Computer science; AC power; Risk management; Operations research; Engineering; Economics; Power (physics); Mathematics; Finance","authors":[{"name":"Abbas Rabiee","is_ca":false},{"name":"Seyed Masoud Mohseni‐Bonab","is_ca":true},{"name":"Tahereh Soltani","is_ca":false},{"name":"Leila Bayat","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006871086447944263,"gpt":0.2252136884640782,"spread":0.2183426020161339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173858,0.001089417,0.001434995,0.000769385,0.0004767226,0.001179641,0.001079969,0.001728274,0.00251405],"category_scores_gemma":[0.00249168,0.001002547,0.001463613,0.0007391115,0.0007387953,0.001175583,0.0009530036,0.001532521,0.00016577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089402,"about_ca_system_score_gemma":0.002105607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052011,"about_ca_topic_score_gemma":0.005200065,"domain_scores_codex":[0.9993159,0.0003244106,0.00002703364,0.0001049193,0.0001384457,0.00008940431],"domain_scores_gemma":[0.9990979,0.000622444,0.00009046226,0.00002662578,0.0001183858,0.00004412396],"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":[0.00001196905,0.00001046944,0.00007533712,0.00001497961,0.00001277141,0.00002233542,0.000008980711,0.9941544,0.0001795212,0.002660865,0.00009486675,0.002753567],"study_design_scores_gemma":[0.000002728491,0.00001133369,0.00002689998,0.000001967642,0.000002450118,0.000004554006,0.000001912557,0.9987791,0.00005919929,0.001040066,0.00006732769,0.000002481837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01252362,0.0001307485,0.9849951,0.0001508423,0.00002843939,0.00005886117,0.00004943578,0.00007262544,0.001990313],"genre_scores_gemma":[0.814217,0.0003141067,0.1801602,0.0000855319,0.00006596503,0.0002536927,0.0001611444,0.00007761313,0.004664611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01052011,"threshold_uncertainty_score":0.02091771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2930310024","doi":"10.22109/jemt.2019.143673.1116","title":"Fractional PR Control of a Grid Tied Flying Capacitor Inverter for PV Applications","year":2019,"lang":"en","type":"article","venue":"Journal of Energy Management and Technology","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Control theory (sociology); Inverter; Maximum power point tracking; Capacitor; Photovoltaic system; Grid; Ripple; Controller (irrigation); Transformer; Engineering; Computer science; Voltage; Electrical engineering; Control (management); Mathematics","authors":[{"name":"Jaber Fallah Ardashir","is_ca":false},{"name":"Amin Mohammadpour Shotorbani","is_ca":true},{"name":"Hossein Khounjahan","is_ca":false},{"name":"Mehran Sabahi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002313459431423947,"gpt":0.1620216789721184,"spread":0.1597082195406945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007938672,0.0002197287,0.0002195415,0.0001353139,0.000274463,0.0003901225,0.0005208808,0.0002076721,0.001277918],"category_scores_gemma":[0.0001745741,0.0000721329,0.000160567,0.0001859091,0.0001664449,0.0002360944,0.0001360845,0.0002518424,0.0001114688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001751176,"about_ca_system_score_gemma":0.0001430454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001122489,"about_ca_topic_score_gemma":0.00156419,"domain_scores_codex":[0.9999346,0.000007110203,0.000003497427,0.00001720122,0.00003108261,0.000006588015],"domain_scores_gemma":[0.9999552,0.00001032963,0.00001053304,0.000006756629,0.00001322422,0.000004062482],"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":[0.0005902682,0.0002385969,0.001259811,0.000715269,0.0001216868,0.0008269616,0.0003618099,0.2152745,0.3536399,0.02098457,0.003800161,0.4021864],"study_design_scores_gemma":[0.00005386611,0.0003861194,0.001076062,0.00001562523,0.00004242286,0.0003147316,0.00002535154,0.9685625,0.02371193,0.002064929,0.003726746,0.00001967076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1765118,0.000756603,0.8040472,0.0001732765,0.0002564783,0.0000871681,0.00009135635,0.001122082,0.01695401],"genre_scores_gemma":[0.9808429,0.0001118909,0.01798651,0.00002853538,0.00002067527,0.00001446155,0.00001924848,0.00001003091,0.0009657789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001277918,"threshold_uncertainty_score":0.004275084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2921952589","doi":"10.22109/jemt.2019.119235.1064","title":"Robust Energy Management of a Microgrid with Uncertain Price, Renewable Generation, and Load using Taguchi’s Orthogonal Array Method","year":2019,"lang":"en","type":"article","venue":"Journal of Energy Management and Technology","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Microgrid; Renewable energy; Taguchi methods; Mathematical optimization; Robust optimization; Orthogonal array; Monte Carlo method; Computer science; Energy management; Reliability engineering; Energy (signal processing); Engineering; Mathematics; Statistics; Electrical engineering","authors":[{"name":"Sevda Zeinal‐Kheiri","is_ca":false},{"name":"Amin Mohammadpour Shotorbani","is_ca":true},{"name":"Behnam Mohammadi‐Ivatloo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0108416883088183,"gpt":0.1992291477299981,"spread":0.1883874594211798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007826448,0.0007888242,0.0006782364,0.0003268353,0.000358592,0.0008281944,0.0004969621,0.0005331371,0.0008022246],"category_scores_gemma":[0.0007883549,0.0003573716,0.0007707862,0.0003939141,0.0004070701,0.0005192182,0.0004356125,0.0004104952,0.00009878448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004875257,"about_ca_system_score_gemma":0.0006424669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982839,"about_ca_topic_score_gemma":0.002448894,"domain_scores_codex":[0.9996443,0.0001368023,0.00001922702,0.00005908985,0.0001056669,0.00003489339],"domain_scores_gemma":[0.9997655,0.0001082723,0.00005311678,0.000015647,0.00004979905,0.000007692925],"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":[0.0000325084,0.00002056624,0.0002482991,0.00004064535,0.0000258215,0.00004924518,0.00002928913,0.978871,0.005137246,0.001585574,0.00008351672,0.01387639],"study_design_scores_gemma":[0.000002145277,0.00002828765,0.0000471798,0.000001585274,0.000006400742,0.000005331231,0.000005719297,0.9988623,0.0006475315,0.000323136,0.00006709535,0.000003350387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04406654,0.0001522611,0.953152,0.00006288004,0.0000202638,0.00004906124,0.00002369507,0.0001498775,0.002323409],"genre_scores_gemma":[0.9196548,0.0001743702,0.07857957,0.00002889845,0.00001241325,0.0001291136,0.00002922209,0.00002162524,0.00137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002982839,"threshold_uncertainty_score":0.005930901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2908412753","doi":"10.22109/jemt.2018.126045.1077","title":"Improved Forecasting of Short Term Electricity Demand by using of Integrated Data Preparation and Input Selection Methods","year":2019,"lang":"en","type":"article","venue":"Journal of Energy Management and Technology","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Normalization (sociology); Nonlinear autoregressive exogenous model; Parametric statistics; Selection (genetic algorithm); Term (time); Autoregressive model; Computer science; Model selection; Statistics; Econometrics; Time series; Mathematics; Artificial intelligence","authors":[{"name":"Azadeh Arjmand","is_ca":false},{"name":"Reza Samizadeh","is_ca":false},{"name":"Mohammad Dehghani Saryazdi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01825321272563487,"gpt":0.267966987677896,"spread":0.2497137749522611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009120018,0.0007120533,0.0006640197,0.0005449446,0.0002014683,0.0007375347,0.0004796747,0.0003104193,0.001358069],"category_scores_gemma":[0.002195619,0.0002397957,0.0005490222,0.0008940587,0.0001085163,0.0009186968,0.0004535035,0.0007015386,0.0004053579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186244,"about_ca_system_score_gemma":0.0007280903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004574607,"about_ca_topic_score_gemma":0.00546304,"domain_scores_codex":[0.9996328,0.0001000415,0.00003487136,0.00006486237,0.000134426,0.00003291689],"domain_scores_gemma":[0.999507,0.0002005836,0.00004381864,0.00005414886,0.0001839844,0.00001054086],"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":[0.0002604325,0.000293392,0.01077141,0.0002267665,0.0001496382,0.0002044578,0.0001562182,0.3256096,0.02571003,0.003363398,0.002429598,0.630825],"study_design_scores_gemma":[0.00001143393,0.0000759128,0.004528503,0.00001437291,0.00002526823,0.00002491107,0.00002501017,0.9858564,0.007128621,0.0008067458,0.001485941,0.00001692053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1088466,0.0003419889,0.8864283,0.000194423,0.00008965316,0.00007230918,0.0004394274,0.001510088,0.0020773],"genre_scores_gemma":[0.6863699,0.0004903474,0.3083312,0.00004984459,0.00006768779,0.0001374963,0.001663606,0.0001219278,0.002767908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004574607,"threshold_uncertainty_score":0.009095967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}