{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":5,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":5,"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":"89bbdac4a4d8","filters":{"venue":"Smart Grids and Sustainable Energy"}},"results":[{"id":"W4390345689","doi":"10.1007/s40866-023-00188-9","title":"Multi-Term Electrical Load Forecasting of Smart Cities Using a New Hybrid Highly Accurate Neural Network-Based Predictive Model","year":2023,"lang":"en","type":"article","venue":"Smart Grids and Sustainable Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Smart grid; Artificial neural network; Markov chain; Term (time); Electrical load; Grid; Artificial intelligence; Machine learning; Voltage; Engineering; Electrical engineering","authors":[{"name":"Ashkan Safari","is_ca":false},{"name":"Hamed Kharrati","is_ca":true},{"name":"Afshin Rahimi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02234109188072043,"gpt":0.2212933774475803,"spread":0.1989522855668598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003252414,0.0003633499,0.0004405093,0.0002511968,0.0002995131,0.00008897449,0.0001690965,0.0001254459,0.000006203687],"category_scores_gemma":[0.00008019493,0.000364173,0.0001282512,0.0007409574,0.00007822176,0.0003115562,0.0001397349,0.0002299096,4.338984e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001797943,"about_ca_system_score_gemma":0.000311008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009355621,"about_ca_topic_score_gemma":0.0001065315,"domain_scores_codex":[0.9976638,0.00004619237,0.0004587616,0.0003478528,0.000271268,0.001212152],"domain_scores_gemma":[0.999122,0.0001618814,0.00009514404,0.0002140048,0.000177745,0.0002291911],"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":[0.00008167056,0.00001280661,0.001622342,0.0001576958,0.00006243506,0.0001247482,0.0001814337,0.9931093,0.0004562331,0.001080268,0.001487633,0.001623432],"study_design_scores_gemma":[0.0008100046,0.0001473012,0.0002635295,0.00009801261,0.00004640118,0.00002076479,0.0001298701,0.9947237,0.001856229,0.0006294479,0.0009087457,0.0003659304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.884544,0.001050849,0.1125304,0.00002740203,0.0004672373,0.0001374142,0.00002116681,0.0005189769,0.0007024593],"genre_scores_gemma":[0.9954023,0.0001004443,0.001903503,0.00005015075,0.0003978573,0.0000242292,0.00004134852,0.00008863012,0.001991527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108583,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4397039367","doi":"10.1007/s40866-024-00205-5","title":"Distribution Grid Fault Classification and Localization using Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"Smart Grids and Sustainable Energy","topic":"Power Systems Fault Detection","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convolutional neural network; Computer science; Fault (geology); Artificial intelligence; Grid; Pattern recognition (psychology); Distribution (mathematics); Artificial neural network; Geology; Mathematics; Seismology; Geodesy","authors":[{"name":"Ming Zhou","is_ca":true},{"name":"Nazli Kazemi","is_ca":true},{"name":"Petr Musı́lek","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00685186422698429,"gpt":0.2079135171192923,"spread":0.2010616528923081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001770339,0.0001429582,0.0001171353,0.00009325623,0.0002078758,0.000180761,0.00003138761,0.0001275546,0.000004569229],"category_scores_gemma":[0.00001465391,0.000145607,0.00002567711,0.0003042341,0.00005020585,0.0003647318,0.00002940729,0.0001051659,5.014422e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002441259,"about_ca_system_score_gemma":0.00002287035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002941313,"about_ca_topic_score_gemma":0.00001959376,"domain_scores_codex":[0.9991293,0.00003548415,0.0001954309,0.000219463,0.0001100561,0.0003102837],"domain_scores_gemma":[0.999707,0.00002789525,0.00001859244,0.00009085303,0.00007909061,0.00007659492],"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":[0.00003699536,0.00002101036,0.003567322,0.0009578107,0.0001263567,0.00008397759,0.0002001658,0.7969564,0.001287374,0.1548519,0.01766121,0.02424948],"study_design_scores_gemma":[0.00009556134,0.0000197493,0.001033488,0.00002620082,0.00001763473,0.00005784005,0.0002394678,0.8438462,0.00006309293,0.0002937179,0.1541699,0.0001371622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06400654,0.004809128,0.9286456,0.00004117369,0.001834322,0.00009713895,0.00001747498,0.00035243,0.0001962681],"genre_scores_gemma":[0.9985858,0.0002210012,0.00001840363,0.0000142346,0.0005172123,0.00002276518,0.0002304555,0.00002548672,0.0003646424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9345793,"threshold_uncertainty_score":0.5937682,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407679140","doi":"10.1007/s40866-025-00249-1","title":"Forecasting International Electricity Market Prices by Using Optimized Machine Learning Systems","year":2025,"lang":"en","type":"article","venue":"Smart Grids and Sustainable Energy","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Electricity; Electricity market; Electricity price forecasting; Economics; Computer science; Business; Engineering; Electrical engineering","authors":[{"name":"Salim Lahmiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005621348855098591,"gpt":0.1941427107118288,"spread":0.1885213618567302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004000663,0.0002260076,0.0002612415,0.0002496302,0.0003482752,0.0002212922,0.0001491648,0.0001086344,0.00003124087],"category_scores_gemma":[0.00009482362,0.0002243519,0.00005207662,0.0003850471,0.00002753893,0.000246138,0.0001206748,0.0002168361,1.395511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711874,"about_ca_system_score_gemma":0.00004055302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610027,"about_ca_topic_score_gemma":0.00001586853,"domain_scores_codex":[0.9987004,0.0000467245,0.000299544,0.0002430108,0.0001426355,0.0005676453],"domain_scores_gemma":[0.9995326,0.0001286249,0.00005850376,0.000100868,0.0001027179,0.00007667743],"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":[0.00008836702,0.00003318444,0.005390609,0.0005110026,0.000333736,0.00007915353,0.0001476613,0.9594525,0.00106329,0.01499551,0.008947032,0.008957946],"study_design_scores_gemma":[0.0003779988,0.00001831644,0.00001182085,0.00006783106,0.00001922786,0.00001650578,0.000253925,0.7969937,0.0004408505,0.00008403978,0.2015298,0.0001859406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2865521,0.03310869,0.3733759,0.0001373279,0.003786782,0.0003211247,0.00002972229,0.001072241,0.3016161],"genre_scores_gemma":[0.9752842,0.0006423557,0.0007780226,0.00003890062,0.0001774675,0.00002410226,0.00005249347,0.00003940799,0.02296301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6887321,"threshold_uncertainty_score":0.9148806,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4397034408","doi":"10.1007/s40866-024-00206-4","title":"The Potential of Vehicle-to-Home Integration for Residential Prosumers: A Case Study","year":2024,"lang":"en","type":"article","venue":"Smart Grids and Sustainable Energy","topic":"Electric Vehicles and Infrastructure","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":"Concordia University","funders":"","keywords":"Business","authors":[{"name":"Marcus Brennenstuhl","is_ca":false},{"name":"Robert Otto","is_ca":false},{"name":"Pawan Kumar Elangovan","is_ca":false},{"name":"Ursula Eicker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003096063236907057,"gpt":0.2059223933165665,"spread":0.2028263300796594,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000232731,0.0001196368,0.0001253971,0.0001075678,0.0002334725,0.000181748,0.00007383316,0.00005434485,0.000003992559],"category_scores_gemma":[0.0000164602,0.00008279735,0.00005069703,0.0002889709,0.00002376988,0.0001334923,0.0000419307,0.00009269569,2.18706e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005027625,"about_ca_system_score_gemma":0.00004579412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009163024,"about_ca_topic_score_gemma":0.0003127274,"domain_scores_codex":[0.9991943,0.00002001839,0.0002016355,0.0001604342,0.0001049299,0.0003186602],"domain_scores_gemma":[0.9996508,0.00004761589,0.00001320313,0.0001283478,0.0001041622,0.00005583069],"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":[0.0006307217,0.000190067,0.000878023,0.002018964,0.001153342,0.005955525,0.008477245,0.07703103,0.02794578,0.1639612,0.07857005,0.633188],"study_design_scores_gemma":[0.002217099,0.00366976,0.002074647,0.0001202581,0.00037282,0.001136299,0.09273855,0.6931522,0.01270753,0.02400026,0.1667787,0.001031926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674677,0.002113661,0.02918544,0.000139978,0.0004819772,0.0004009881,0.000006421253,0.0001001272,0.0001036764],"genre_scores_gemma":[0.9980419,0.00007303325,0.00007846916,0.00001198228,0.0002424356,0.0001025954,0.000004101277,0.00002674967,0.001418761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6321561,"threshold_uncertainty_score":0.3376378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367053038","doi":"10.1007/s40866-023-00166-1","title":"Online Power Transfer Regulation Between Transmission and Active Distribution Systems for High-Voltage Support","year":2023,"lang":"en","type":"article","venue":"Smart Grids and Sustainable Energy","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"AC power; Interconnection; Maximum power transfer theorem; Computer science; Transmission (telecommunications); Electric power system; Transmission system; Power (physics); Voltage regulation; Power transmission; Control theory (sociology); Voltage; Engineering; Control (management); Electrical engineering; Telecommunications","authors":[{"name":"Khaled Alzaareer","is_ca":false},{"name":"Qusay Salem","is_ca":false},{"name":"Claude Ziad El‐Bayeh","is_ca":true},{"name":"Salman Harasis","is_ca":false},{"name":"Ayman Al‐Quraan","is_ca":false},{"name":"Ali Q. Al‐Shetwi","is_ca":false},{"name":"Murad Al-Omary","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00592776986298106,"gpt":0.2051302493738905,"spread":0.1992024795109094,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002270885,0.0001987465,0.0002476226,0.00009986318,0.0002020993,0.00006909679,0.00004982702,0.0001750166,0.00001117564],"category_scores_gemma":[0.00001344582,0.0001962165,0.00004428386,0.0002880716,0.00003986373,0.0003092683,0.00001977876,0.0000861688,8.079392e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000137855,"about_ca_system_score_gemma":0.0000281942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001716608,"about_ca_topic_score_gemma":0.000005409619,"domain_scores_codex":[0.9988379,0.00002032494,0.0002475895,0.0002589427,0.000140009,0.0004952052],"domain_scores_gemma":[0.9995607,0.00006220656,0.00001631738,0.0001168389,0.0001099413,0.000134002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001217404,0.0003480063,0.003999251,0.006868882,0.001013282,0.0002055237,0.002731209,0.1240496,0.02261322,0.5999816,0.1370513,0.09992068],"study_design_scores_gemma":[0.003682399,0.001192974,0.08512539,0.0001371851,0.0002523263,0.00001600265,0.004912476,0.1243659,0.01210736,0.00595708,0.7609754,0.001275478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5193713,0.0002514478,0.4780629,0.0001534885,0.0002302453,0.0003266166,0.001160166,0.0003396544,0.0001041956],"genre_scores_gemma":[0.990295,0.0003269252,0.00001815111,0.000005510125,0.0001471045,0.00006655276,0.007703911,0.00003733798,0.00139953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6239241,"threshold_uncertainty_score":0.8001477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}