{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":19,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":19,"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":"5ba4dc743b48","filters":{"venue":"Energy Systems"}},"results":[{"id":"W2052933755","doi":"10.1007/s12667-012-0060-2","title":"Wind integration in self-regulating electric load distributions","year":2012,"lang":"en","type":"article","venue":"Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Dispatchable generation; Wind power; Flexibility (engineering); Demand response; Computer science; Electrical load; Grid; Load shifting; Electric power system; Control engineering; Automotive engineering; Distributed generation; Renewable energy; Engineering; Power (physics); Electricity; Electrical engineering","authors":[{"name":"Simon Parkinson","is_ca":true},{"name":"Dan Wang","is_ca":true},{"name":"Curran Crawford","is_ca":true},{"name":"Ned Djilali","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006490661063226309,"gpt":0.1868263638857832,"spread":0.1803357028225568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807343,0.0002153511,0.0002842113,0.0001567664,0.0002550132,0.0005827839,0.0002946252,0.0002763088,0.001379448],"category_scores_gemma":[0.0008267593,0.0002225663,0.0001709055,0.0002805858,0.000231017,0.0006600394,0.0002319293,0.0003378302,0.0001344789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003026864,"about_ca_system_score_gemma":0.0001573381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001696777,"about_ca_topic_score_gemma":0.00475666,"domain_scores_codex":[0.9998991,0.00003628038,0.000005275017,0.0000171279,0.00002870403,0.00001343997],"domain_scores_gemma":[0.9998114,0.00008325199,0.00002716749,0.00001748298,0.00004990051,0.00001079586],"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":[0.0004915507,0.0001385796,0.00442811,0.00005127667,0.00006847888,0.0003520823,0.00009909376,0.8731828,0.01358807,0.03299972,0.0008873873,0.07371286],"study_design_scores_gemma":[0.00001534769,0.00005167299,0.001287758,0.000005451967,0.00002068547,0.00004054556,0.00002158459,0.9915611,0.002043007,0.004385143,0.0005629878,0.000004686074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5539151,0.00051283,0.4220822,0.0002982768,0.0001347337,0.00004012648,0.00004561907,0.0003532106,0.02261793],"genre_scores_gemma":[0.9960975,0.00005239447,0.00264292,0.000009284182,0.000008756369,0.00000312557,0.000006945631,0.00001125437,0.001167767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001696777,"threshold_uncertainty_score":0.00461477,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2079487548","doi":"10.1007/s12667-010-0016-3","title":"An MILP-based formulation for minimizing pumping energy costs of oil pipelines: beneficial to both the environment and pipeline companies","year":2010,"lang":"en","type":"article","venue":"Energy Systems","topic":"Water Systems and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Pipeline transport; Mathematical optimization; Integer programming; Electricity; Schedule; Linear programming; Pipeline (software); Time horizon; Scheduling (production processes); Computer science; Engineering; Environmental engineering; Mathematics","authors":[{"name":"Ehsan Abbasi","is_ca":true},{"name":"Vahid Garousi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008727705600298395,"gpt":0.1978076330983732,"spread":0.1890799274980748,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139101,0.001205129,0.0011872,0.0007127095,0.0006294004,0.002011702,0.001049695,0.002147931,0.005263607],"category_scores_gemma":[0.00328618,0.001085859,0.0008751683,0.001058056,0.0008024926,0.001482026,0.001117921,0.001701006,0.0004554105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142565,"about_ca_system_score_gemma":0.002525661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008487502,"about_ca_topic_score_gemma":0.01000889,"domain_scores_codex":[0.9995387,0.0002165375,0.00001474764,0.00005411692,0.0001161351,0.00005973152],"domain_scores_gemma":[0.9992346,0.000492454,0.00005594057,0.00002494474,0.0001440496,0.00004806387],"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":[0.00002088915,0.00001670397,0.00006329556,0.00004116741,0.000007461016,0.00002835475,0.000008771471,0.9897388,0.0001987876,0.005297714,0.0007660765,0.003812029],"study_design_scores_gemma":[0.000007357019,0.00001082736,0.00002760076,0.00000677697,0.000004577174,0.000004009536,0.000009277112,0.9967961,0.0001211292,0.002627396,0.0003825056,0.000002456758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02017426,0.0005128525,0.9573662,0.001428245,0.000165941,0.0001660135,0.0003881602,0.0001837378,0.01961457],"genre_scores_gemma":[0.6639344,0.0008397804,0.3181151,0.0004084348,0.0002090622,0.0006083688,0.0005183041,0.0002322269,0.01513437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008487502,"threshold_uncertainty_score":0.01760846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1833819033","doi":"10.1007/s12667-016-0193-9","title":"Price and capacity competition in balancing markets with energy storage","year":2016,"lang":"en","type":"article","venue":"Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Marginal cost; Microeconomics; Energy storage; Economics; Dynamic pricing; Time horizon; Competition (biology); Environmental economics; Peak demand; Electricity market; Electricity; Industrial organization; Power (physics)","authors":[{"name":"Joshua A. Taylor","is_ca":true},{"name":"Johanna L. Mathieu","is_ca":false},{"name":"Duncan S. Callaway","is_ca":false},{"name":"Kameshwar Poolla","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004502223546692922,"gpt":0.1466419401137059,"spread":0.142139716567013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003881546,0.0006059388,0.001598523,0.0006240636,0.001132876,0.00520707,0.00188618,0.002654365,0.02114212],"category_scores_gemma":[0.0183069,0.0009011861,0.0008438026,0.0007951546,0.002584841,0.007909757,0.00135489,0.002481105,0.0006249651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002563637,"about_ca_system_score_gemma":0.001638697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006186587,"about_ca_topic_score_gemma":0.009359886,"domain_scores_codex":[0.9987919,0.000544094,0.00003922763,0.0001441652,0.000178151,0.0003025784],"domain_scores_gemma":[0.9893072,0.008614184,0.0007449461,0.0001917553,0.0005555991,0.0005862512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001714459,0.0003564996,0.00373006,0.0002156096,0.0001126167,0.0007666018,0.0003271642,0.371114,0.002037908,0.5999111,0.008324294,0.01138981],"study_design_scores_gemma":[0.0002282235,0.0001723268,0.00234654,0.0000267146,0.00006244032,0.0001488339,0.0004673483,0.6360219,0.0004582432,0.3583353,0.001650942,0.00008115796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995409,0.002061895,0.07579724,0.009667521,0.0006088926,0.0001082623,0.0005876947,0.0001861267,0.1114416],"genre_scores_gemma":[0.9941697,0.0001355478,0.0006287079,0.00007945645,0.00007520677,0.00001004845,0.00003341082,0.00002016618,0.004847717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02114212,"threshold_uncertainty_score":0.07072747,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2835236750","doi":"10.1007/s12667-018-0296-6","title":"An overview on synthesis and design of microalgal biorefinery configurations by employing superstructure-based optimization approach","year":2018,"lang":"en","type":"article","venue":"Energy Systems","topic":"Algal biology and biofuel production","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Biorefinery; Biochemical engineering; Superstructure; Engineering; Biomass (ecology); Biofuel; Sustainability; Systems engineering; Process engineering; Computer science; Waste management","authors":[{"name":"Muhammad Rizwan","is_ca":false},{"name":"Ali Almansoori","is_ca":false},{"name":"Ali Elkamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03593619384034056,"gpt":0.2444701251635834,"spread":0.2085339313232429,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003546378,0.001412416,0.001259542,0.0007667614,0.0003582199,0.0008708104,0.001085572,0.0008529397,0.002856584],"category_scores_gemma":[0.0002883328,0.0007017409,0.001471622,0.001319439,0.0002692842,0.000791046,0.0005593802,0.0009436373,0.001137413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529897,"about_ca_system_score_gemma":0.0006523948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030987,"about_ca_topic_score_gemma":0.0018265,"domain_scores_codex":[0.9998079,0.00003091948,0.00001710058,0.00004712481,0.00007355378,0.00002345308],"domain_scores_gemma":[0.9999106,0.00003239819,0.0000125803,0.00001179058,0.00002664779,0.000005886278],"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":[0.0001319244,0.0002917399,0.0008708715,0.00751265,0.0002805548,0.0002682734,0.0001368225,0.3917312,0.0978827,0.0423661,0.004260244,0.4542668],"study_design_scores_gemma":[0.00005841074,0.000861718,0.001660351,0.0009997705,0.0003020896,0.0005756309,0.0001900787,0.6688089,0.07833441,0.0355872,0.2124809,0.0001406028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.03089322,0.1476653,0.7863363,0.0004117871,0.0002803863,0.0001771291,0.0004133732,0.0006276041,0.03319491],"genre_scores_gemma":[0.1841838,0.1829655,0.6206793,0.0002836966,0.0002033823,0.0005215701,0.00114258,0.0004004894,0.009619669],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002856584,"threshold_uncertainty_score":0.009556234,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1966175446","doi":"10.1007/s12667-013-0110-4","title":"Adaptive monitoring of the progressive hedging penalty for reservoir systems management","year":2013,"lang":"en","type":"article","venue":"Energy Systems","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Heuristics; Penalty method; Augmented Lagrangian method; Mathematical optimization; Lagrangian; Computer science; Function (biology); Lagrangian relaxation; Mathematics; Applied mathematics","authors":[{"name":"Luckny Zéphyr","is_ca":true},{"name":"Pascal Lang","is_ca":true},{"name":"Bernard F. Lamond","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02253465054283714,"gpt":0.2504742490063124,"spread":0.2279395984634753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009065674,0.0003998287,0.0003889828,0.000429267,0.0001844964,0.0005402327,0.0005588682,0.0003966077,0.0006566122],"category_scores_gemma":[0.005000813,0.0001849365,0.0001230754,0.0004720674,0.0002233767,0.0007116338,0.0004909667,0.0006883095,0.00009179577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000311676,"about_ca_system_score_gemma":0.0003707347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002110334,"about_ca_topic_score_gemma":0.002734928,"domain_scores_codex":[0.999615,0.0001172855,0.00002478816,0.00008693504,0.0001248203,0.00003120015],"domain_scores_gemma":[0.9976718,0.001195438,0.0004456511,0.0002310661,0.0003407541,0.0001152724],"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":[0.0006427477,0.0002629514,0.03224807,0.0001020487,0.00007403309,0.0001194875,0.00009568304,0.8409492,0.01678087,0.002751496,0.0009468417,0.1050265],"study_design_scores_gemma":[0.000003971695,0.00002767423,0.0030271,0.000001896806,0.000002862279,0.00001102183,0.000004980842,0.9951023,0.001345481,0.000403139,0.0000650562,0.000004513801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7030251,0.0001798178,0.29369,0.0001702045,0.00004225089,0.00004497034,0.0002432551,0.0005676447,0.002036862],"genre_scores_gemma":[0.9926467,0.00001886271,0.007090831,0.000006698182,0.000004805894,0.000007138859,0.0000440606,0.000009803349,0.0001711283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002110334,"threshold_uncertainty_score":0.004794478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309110377","doi":"10.1007/s12667-022-00545-0","title":"Robust optimal sizing of a stand-alone hybrid renewable energy system using dynamic uncertainty sets","year":2022,"lang":"en","type":"article","venue":"Energy Systems","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Sizing; Renewable energy; Photovoltaic system; Computer science; Wind power; Mathematical optimization; Diesel generator; Engineering; Automotive engineering; Mathematics; Diesel fuel","authors":[{"name":"Ali Keyvandarian","is_ca":true},{"name":"Ahmed Saif","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02100066092353899,"gpt":0.2218243825234713,"spread":0.2008237215999323,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006194244,0.001154244,0.001268883,0.0004169581,0.0004566344,0.001619011,0.0005494143,0.0007926131,0.002357655],"category_scores_gemma":[0.001216617,0.000789793,0.0006478655,0.0004378623,0.0006233387,0.0008715384,0.0006918579,0.0007441651,0.0002861897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000992991,"about_ca_system_score_gemma":0.00107792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008244687,"about_ca_topic_score_gemma":0.00902894,"domain_scores_codex":[0.9996632,0.00008793973,0.00001661031,0.00007783141,0.00009921172,0.00005512482],"domain_scores_gemma":[0.9995448,0.0002535637,0.00007891071,0.00002618817,0.00007413619,0.00002237273],"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":[0.00003304929,0.000007293596,0.00004525893,0.00001550142,0.00001556993,0.00001682496,0.000007720909,0.9953022,0.000789544,0.0009729866,0.0001027003,0.002691408],"study_design_scores_gemma":[0.000004611737,0.00001689363,0.00005313945,0.000002132689,0.000004699159,0.000002577479,0.000003198225,0.9988824,0.0002129457,0.0007534072,0.00006153811,0.000002457755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.134349,0.0005611178,0.8410257,0.0004425664,0.0001255076,0.0001523842,0.0003767314,0.0006600016,0.02230702],"genre_scores_gemma":[0.9854613,0.00006342489,0.01241011,0.0000307317,0.00001584517,0.00006285814,0.00006787659,0.0000309735,0.00185692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008244687,"threshold_uncertainty_score":0.01639342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390938694","doi":"10.1007/s12667-023-00638-4","title":"Accelerating urban road transportation electrification: planning, technology, economic and implementation factors in converting gas stations into fast charging stations","year":2024,"lang":"en","type":"article","venue":"Energy Systems","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Carleton University","keywords":"Electrification; Enabling; Environmental economics; Incentive; Greenhouse gas; Government (linguistics); Electricity; Grid; Service (business); Business; Transport engineering; Telecommunications; Computer science; Engineering; Electrical engineering; Economics; Marketing","authors":[{"name":"Junshen Feng","is_ca":true},{"name":"Ata M. Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007128406153786613,"gpt":0.2354286630001016,"spread":0.2283002568463149,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00311615,0.0002979781,0.0001984556,0.0007654757,0.0004918702,0.002249983,0.0007303864,0.0005630696,0.004889699],"category_scores_gemma":[0.007420329,0.0002658077,0.0005601005,0.001814489,0.0005750046,0.002192382,0.0006213211,0.0006899028,0.0003574191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003103393,"about_ca_system_score_gemma":0.005134467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02364713,"about_ca_topic_score_gemma":0.04382954,"domain_scores_codex":[0.9984993,0.0007084982,0.00005964562,0.000106189,0.0002806314,0.0003457663],"domain_scores_gemma":[0.9955103,0.002476146,0.0006709649,0.0001430269,0.0009205015,0.0002789816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001877547,0.001955277,0.7774587,0.0002902117,0.0002173802,0.001014075,0.001123251,0.08209041,0.008032121,0.02721163,0.001005072,0.0977242],"study_design_scores_gemma":[0.00009230778,0.002129988,0.9383532,0.0001154104,0.0003874446,0.0002966043,0.008404057,0.02583984,0.01324805,0.004900957,0.006177183,0.00005498241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893189,0.000168803,0.001626324,0.0003203528,0.000006801773,0.0001294321,0.0001320205,0.00001808905,0.008279401],"genre_scores_gemma":[0.9970738,0.0001503301,0.0009667079,0.00001715682,0.000003545071,0.00002311679,0.00007914567,0.000004989501,0.001681113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02364713,"threshold_uncertainty_score":0.047019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4393554173","doi":"10.1007/s12667-024-00654-y","title":"Long-term equilibrium in electricity markets with renewables and energy storage only","year":2024,"lang":"en","type":"article","venue":"Energy Systems","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":"Hydro-Québec","funders":"St. Olavs Hospital Universitetssykehuset i Trondheim; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Term (time); Renewable energy; Electricity; Electricity system; Economics; Energy storage; Electricity market; Natural resource economics; Electricity generation; Physics; Engineering; Power (physics); Thermodynamics; Electrical engineering","authors":[{"name":"Guillaume Tarel","is_ca":true},{"name":"Magnus Korpås","is_ca":false},{"name":"Audun Botterud","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003950904151192476,"gpt":0.1790171554191076,"spread":0.1750662512679152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002305354,0.0006624935,0.001439341,0.0007699387,0.000919135,0.002434307,0.00125792,0.002009174,0.007333292],"category_scores_gemma":[0.008826556,0.0008185523,0.0009765173,0.0005850566,0.001653342,0.00419907,0.001096838,0.001592714,0.0004303886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109115,"about_ca_system_score_gemma":0.001478338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007793781,"about_ca_topic_score_gemma":0.007867593,"domain_scores_codex":[0.9993036,0.000295212,0.00002278379,0.0000928475,0.00008009988,0.0002055869],"domain_scores_gemma":[0.9964227,0.002333848,0.0005964509,0.00009651839,0.0002955832,0.0002550027],"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":[0.0001627272,0.0001225664,0.000997053,0.0000760508,0.00007447806,0.0003920078,0.00006114171,0.8307188,0.001167856,0.16217,0.001384783,0.002672382],"study_design_scores_gemma":[0.00007918348,0.00007071914,0.0007042781,0.00001753062,0.00002178503,0.00005048183,0.0001210258,0.9259979,0.000245073,0.07201049,0.0006516895,0.00002990034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.707386,0.0007891042,0.2503833,0.003559555,0.0001199754,0.0001578088,0.0007270026,0.0002636749,0.03661362],"genre_scores_gemma":[0.9895002,0.0001644299,0.004966353,0.00009616133,0.00002426926,0.00006183323,0.00009606994,0.0000349501,0.005055713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007793781,"threshold_uncertainty_score":0.02453226,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900330031","doi":"10.1007/s12667-018-0312-x","title":"Co-optimization of demand response and interruptible load reserve offers for a price-making major consumer","year":2018,"lang":"en","type":"article","venue":"Energy Systems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Flexibility (engineering); Electricity; Demand response; Intuition; Electricity market; Computer science; Consumption (sociology); Robust optimization; Microeconomics; Optimization problem; Mathematical optimization; Economics; Operations research; Engineering; Mathematics","authors":[{"name":"Mahbubeh Habibian","is_ca":false},{"name":"Golbon Zakeri","is_ca":false},{"name":"Anthony Downward","is_ca":false},{"name":"Miguel F. Anjos","is_ca":true},{"name":"Michael C. Ferris","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01486482296636745,"gpt":0.2466368099285303,"spread":0.2317719869621629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045061,0.0008474523,0.001053135,0.0005599628,0.0006292256,0.001743507,0.001063911,0.00117077,0.005487512],"category_scores_gemma":[0.002241668,0.0006373476,0.0005335204,0.0004877304,0.0004568957,0.001229617,0.0006539916,0.001234866,0.0004195429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001183791,"about_ca_system_score_gemma":0.001227102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005991191,"about_ca_topic_score_gemma":0.0106817,"domain_scores_codex":[0.9995409,0.0001299025,0.00001424437,0.0000885289,0.00007488849,0.0001514843],"domain_scores_gemma":[0.9989236,0.0006282848,0.00010965,0.00004808627,0.000172781,0.0001175424],"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":[0.0009201081,0.0003859181,0.001446882,0.00007222875,0.00005003903,0.0001278803,0.00005228624,0.9684709,0.003703842,0.00275658,0.001681017,0.02033229],"study_design_scores_gemma":[0.00002190292,0.000153886,0.0005734245,0.000002319095,0.00002104534,0.00001350324,0.00003712414,0.9976873,0.0006815597,0.0005700847,0.0002308869,0.000006802957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8016916,0.0003377356,0.1642966,0.001334643,0.0001915779,0.0003311748,0.0003647543,0.001129579,0.03032233],"genre_scores_gemma":[0.9949201,0.00001376291,0.003080016,0.00002237181,0.000009380898,0.00001453717,0.00002646154,0.0000264573,0.001886972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005991191,"threshold_uncertainty_score":0.01835752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076406092","doi":"10.1007/s12667-014-0126-4","title":"Development of net energy ratio and emission factor for quad-generation pathways","year":2014,"lang":"en","type":"article","venue":"Energy Systems","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Syngas; Biomass (ecology); Renewable energy; Fossil fuel; Environmental science; Electricity generation; Greenhouse gas; Methane; Process engineering; Wood gas generator; Waste management; Environmental engineering; Coal; Engineering; Power (physics); Chemistry","authors":[{"name":"Souman Rudra","is_ca":false},{"name":"Lasse Rosendahl","is_ca":false},{"name":"Amit Kumar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01703191084059523,"gpt":0.18990266405148,"spread":0.1728707532108848,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005028797,0.0004052182,0.0002357496,0.000502967,0.0002347414,0.0004568445,0.0004563394,0.000209275,0.001775648],"category_scores_gemma":[0.0005336903,0.0001373814,0.0003501352,0.0005469713,0.0001355464,0.0008955107,0.0003588351,0.0002929248,0.0004965171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007467986,"about_ca_system_score_gemma":0.0007589539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863833,"about_ca_topic_score_gemma":0.002063433,"domain_scores_codex":[0.999833,0.00002934968,0.000006481447,0.00003495,0.00008071227,0.00001552652],"domain_scores_gemma":[0.9998041,0.00002585154,0.00001840299,0.00002423248,0.0001177918,0.000009718506],"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":[0.0004715506,0.0002096333,0.007691471,0.0006559098,0.000064254,0.0001286724,0.0000807101,0.1744695,0.317427,0.0746232,0.001640538,0.4225374],"study_design_scores_gemma":[0.00004086935,0.0006182926,0.007490675,0.00006451284,0.00008506904,0.0002451103,0.00009913987,0.6328703,0.3182815,0.01429263,0.02586571,0.00004616244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3839849,0.0035852,0.5607424,0.0002128026,0.00006834044,0.0001843758,0.0008083491,0.0008575291,0.04955617],"genre_scores_gemma":[0.83864,0.001327726,0.1543874,0.00001927766,0.000006232905,0.0001008226,0.0004363827,0.00008500368,0.004997287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001863833,"threshold_uncertainty_score":0.005940139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2060832293","doi":"10.1007/s12667-013-0092-2","title":"A decentralized access control algorithm for PHEV charging in smart grid","year":2013,"lang":"en","type":"article","venue":"Energy Systems","topic":"Electric Vehicles and Infrastructure","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":"University of Victoria","funders":"","keywords":"Smart grid; Scalability; Computer science; Renewable energy; Demand response; Grid; Schedule; Electric vehicle; Distributed computing; Electricity; Engineering; Electrical engineering","authors":[{"name":"Kan Zhou","is_ca":true},{"name":"Lin Cai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005464320221851305,"gpt":0.198874504807408,"spread":0.1934101845855567,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009114878,0.0004853209,0.001180133,0.0003943898,0.0007295256,0.001094825,0.001157233,0.0007317213,0.002700296],"category_scores_gemma":[0.002547694,0.0002206895,0.0003539245,0.0005440408,0.000559143,0.001030744,0.001019831,0.001064565,0.0003677606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158738,"about_ca_system_score_gemma":0.00128798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003412891,"about_ca_topic_score_gemma":0.004072052,"domain_scores_codex":[0.9992688,0.0001853503,0.00004019676,0.0001608703,0.0002085194,0.0001363303],"domain_scores_gemma":[0.9990739,0.0004334492,0.00006859032,0.0001126482,0.00025665,0.0000547887],"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":[0.000715702,0.0002630619,0.0007210282,0.0001011941,0.00006327219,0.0001181514,0.0001481151,0.682776,0.00754761,0.03646026,0.006524022,0.2645616],"study_design_scores_gemma":[0.00003979217,0.00003849183,0.00006118618,0.000002086158,0.000005167975,0.0000233232,0.000008065188,0.9947054,0.0005844891,0.004083473,0.0004434824,0.000005202447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01660615,0.0001379892,0.9796507,0.000170231,0.0001142833,0.00007966781,0.00003348041,0.0005936939,0.002613791],"genre_scores_gemma":[0.9282032,0.00008554498,0.0687393,0.00008943423,0.00007945582,0.00009607849,0.00005933976,0.00003529898,0.002612353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003412891,"threshold_uncertainty_score":0.009033382,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386372916","doi":"10.1007/s12667-023-00618-8","title":"Short-term hydropower optimization in the day-ahead market using a nonlinear stochastic programming model","year":2023,"lang":"en","type":"article","venue":"Energy Systems","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bidding; Hydropower; Electricity market; Common value auction; Mathematical optimization; Heuristic; Term (time); Stochastic programming; Computer science; Nonlinear system; Electricity; Nonlinear programming; Stochastic optimization; Operations research; Economics; Microeconomics; Mathematics; Engineering","authors":[{"name":"M. Jafari Aminabadi","is_ca":true},{"name":"Sara Séguin","is_ca":true},{"name":"I. Fofana","is_ca":true},{"name":"Stein‐Erik Fleten","is_ca":false},{"name":"Ellen Krohn Aasgård","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01963456015098146,"gpt":0.2260264960388514,"spread":0.2063919358878699,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161538,0.0007894055,0.001569026,0.0003558185,0.0005139991,0.00196719,0.001048194,0.001838895,0.002755244],"category_scores_gemma":[0.002299083,0.0009213168,0.0009023057,0.000622998,0.001022538,0.001692944,0.0008604804,0.001554029,0.0002161748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591655,"about_ca_system_score_gemma":0.001963087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276468,"about_ca_topic_score_gemma":0.01788107,"domain_scores_codex":[0.9995362,0.0002154269,0.00001664653,0.00008472869,0.0000706387,0.00007637311],"domain_scores_gemma":[0.998894,0.0007602997,0.0001145445,0.00002088598,0.000118221,0.00009196047],"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":[0.00002131672,0.00001223955,0.0001019218,0.00000798871,0.000008184571,0.00002639385,0.000004426679,0.9964444,0.0001100833,0.002781436,0.0001084115,0.0003732241],"study_design_scores_gemma":[0.000002613032,0.000004967983,0.00003698822,5.400932e-7,0.000001445833,0.00000139141,0.000001998592,0.999392,0.00001606748,0.0005150079,0.00002490627,0.000002065153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4269438,0.001015658,0.5450794,0.002543487,0.0001913857,0.0001166468,0.0008099469,0.0002706216,0.02302916],"genre_scores_gemma":[0.9825759,0.0002324986,0.006762796,0.00007709332,0.00004162797,0.00005569747,0.0001676999,0.00004529581,0.01004155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02276468,"threshold_uncertainty_score":0.04526436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400124708","doi":"10.1007/s12667-024-00684-6","title":"Learning causality structures from electricity demand data","year":2024,"lang":"en","type":"article","venue":"Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University; Cape Breton University","funders":"","keywords":"Causality (physics); Electricity demand; Electricity; Economics; Econometrics; Natural resource economics; Electricity generation; Engineering; Power (physics); Physics","authors":[{"name":"Mariano Maisonnave","is_ca":true},{"name":"Fernando Delbianco","is_ca":false},{"name":"Fernando Tohmé","is_ca":false},{"name":"Evangelos Milios","is_ca":true},{"name":"Ana Gabriela Maguitman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0187607792430436,"gpt":0.2266118041668119,"spread":0.2078510249237683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843786,0.0008469788,0.000660292,0.003116716,0.0003469822,0.0009408018,0.0006161597,0.0008052479,0.00238648],"category_scores_gemma":[0.01319992,0.0004911834,0.0007749445,0.001874638,0.0003521622,0.002538058,0.0006262593,0.002460158,0.0007328085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006812009,"about_ca_system_score_gemma":0.001389824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006986797,"about_ca_topic_score_gemma":0.01145424,"domain_scores_codex":[0.999492,0.0001891648,0.00004692017,0.0001247601,0.00009389303,0.00005316042],"domain_scores_gemma":[0.9895895,0.008808367,0.000441334,0.0004907707,0.0005076486,0.0001624019],"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":[0.0006600486,0.0007071411,0.07154463,0.0002087552,0.0002920903,0.0003754861,0.0001696253,0.5633758,0.001960916,0.01936235,0.01105673,0.3302863],"study_design_scores_gemma":[0.00001890617,0.00002542255,0.001928869,0.00001372006,0.00002036576,0.00001874801,0.00002306075,0.9757301,0.0003662925,0.0212822,0.0005644727,0.000007914111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4541459,0.001654401,0.5275223,0.003184786,0.0004940962,0.0001248749,0.005572112,0.002567742,0.004733775],"genre_scores_gemma":[0.9605027,0.0006140996,0.03124095,0.000104318,0.0002263174,0.00004995602,0.00538491,0.00007504845,0.001801663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006986797,"threshold_uncertainty_score":0.01389223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405527065","doi":"10.1007/s12667-024-00716-1","title":"Use of multicriteria decision analysis in transmission line routing: reflections on the inclusion of sustainability in decision making process","year":2024,"lang":"en","type":"article","venue":"Energy Systems","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Pró-Reitoria de Pesquisa, Universidade Federal do Rio Grande do Sul; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sustainability; Inclusion (mineral); Decision analysis; Routing (electronic design automation); Process (computing); Computer science; Line (geometry); Transmission line; Multiple-criteria decision analysis; Management science; Operations research; Engineering; Economics; Mathematics; Psychology; Telecommunications; Mathematical economics; Computer network; Biology","authors":[{"name":"Guilherme Santanna Castiglio","is_ca":false},{"name":"Amanda Vanderwegen","is_ca":false},{"name":"Juliana Klas","is_ca":false},{"name":"Pãnos M. Pardalos","is_ca":false},{"name":"Mariana Resener","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04659942828426376,"gpt":0.3951470550129268,"spread":0.348547626728663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0871375,0.001417858,0.003106042,0.004504517,0.002472995,0.01699838,0.003905474,0.002902675,0.004283865],"category_scores_gemma":[0.1257833,0.001182289,0.004081525,0.004104343,0.01879397,0.01490215,0.006469892,0.008663392,0.0003979404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01011269,"about_ca_system_score_gemma":0.008986367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004776455,"about_ca_topic_score_gemma":0.006479644,"domain_scores_codex":[0.9078684,0.0749137,0.00316001,0.003638245,0.008833379,0.001586264],"domain_scores_gemma":[0.6764012,0.2948274,0.008718943,0.009082089,0.009676449,0.001293826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009296733,0.0001681311,0.002108017,0.0004086182,0.0003889682,0.00006889414,0.003127993,0.03261974,0.0001842777,0.9058203,0.0008602214,0.05415186],"study_design_scores_gemma":[0.0000227347,0.00007946595,0.0006682553,0.0003394617,0.00005707028,0.00007007671,0.001408729,0.07805206,0.0003575418,0.9138839,0.004993414,0.00006733031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04484057,0.006609437,0.8705468,0.03478152,0.0006339211,0.0002046672,0.0001055059,0.0001386413,0.04213894],"genre_scores_gemma":[0.7544464,0.002676075,0.2389239,0.001592019,0.0006515072,0.0003199427,0.00004040887,0.0001063781,0.001243277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0871375,"threshold_uncertainty_score":0.4608327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387060054","doi":"10.1007/s12667-023-00623-x","title":"Quantifying the impact of scenario tree generation and reduction methods on the solution of the short-term hydroscheduling problem","year":2023,"lang":"en","type":"article","venue":"Energy Systems","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Rio Tinto (Canada); Group for Research in Decision Analysis; Université du Québec à Chicoutimi","funders":"Mitacs","keywords":"Tree (set theory); Term (time); Variance reduction; Reduction (mathematics); Mathematical optimization; Stochastic programming; Hydropower; Stochastic optimization; Time horizon; Standard deviation; Computer science; Mathematics; Statistics; Engineering; Monte Carlo method","authors":[{"name":"Maissa Daadaa","is_ca":true},{"name":"Sara Séguin","is_ca":true},{"name":"Miguel F. Anjos","is_ca":true},{"name":"Kenjy Demeester","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05356126740358546,"gpt":0.3011919434018627,"spread":0.2476306759982772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003478819,0.0005409544,0.0005381146,0.000567548,0.0003064928,0.0005846716,0.000522969,0.0008478545,0.001749712],"category_scores_gemma":[0.01249154,0.0002552007,0.0004143825,0.0005693009,0.0003940446,0.0009814242,0.0006242772,0.0008673278,0.000100554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006259206,"about_ca_system_score_gemma":0.001512723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005355955,"about_ca_topic_score_gemma":0.005900898,"domain_scores_codex":[0.9989578,0.0007628398,0.00002227692,0.00005120983,0.0001295068,0.00007637071],"domain_scores_gemma":[0.9918513,0.007196268,0.0002804516,0.0002074714,0.0003588181,0.0001056293],"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":[0.0001321297,0.00005319803,0.000543927,0.00004019049,0.0000224272,0.00001355547,0.00001535926,0.9807842,0.0003639311,0.002969125,0.0003010745,0.01476089],"study_design_scores_gemma":[0.00001008255,0.00006169756,0.0001736555,0.00000602755,0.000007604647,0.000004836695,0.000009761144,0.997924,0.0002123289,0.001475467,0.0001123432,0.000002188812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6278473,0.001667578,0.3520828,0.001389743,0.0001273661,0.0001620661,0.000397472,0.0004321322,0.01589349],"genre_scores_gemma":[0.9219469,0.0002430809,0.07665209,0.00009167747,0.00002168181,0.00004840208,0.0001471161,0.00005338384,0.0007957408],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005355955,"threshold_uncertainty_score":0.01839799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401665347","doi":"10.1007/s12667-024-00693-5","title":"Evaluation of optimal technology for the sustainable processing of municipal solid waste employing MINLP model: a case study of Pakistan","year":2024,"lang":"en","type":"article","venue":"Energy Systems","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Higher Education Commision, Pakistan","keywords":"Transesterification; Profit (economics); Municipal solid waste; Renewable energy; Environmental economics; Biodiesel production; Biodiesel; Waste management; Business; Engineering; Economics","authors":[{"name":"H. Amin","is_ca":false},{"name":"Muhammad Rizwan","is_ca":false},{"name":"Muazzam Mukhtar","is_ca":false},{"name":"Muhammad Zaman","is_ca":false},{"name":"Salman Raza Naqvi","is_ca":false},{"name":"Ali Elkamel","is_ca":true},{"name":"Khurram Shehzad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04108119969082302,"gpt":0.3421767949393528,"spread":0.3010955952485298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007159795,0.0006497087,0.0008292261,0.0006253124,0.00097783,0.001850334,0.0009105114,0.001420987,0.002129151],"category_scores_gemma":[0.000938703,0.0003727793,0.0009392318,0.0006828929,0.0005655395,0.0009138393,0.0005989618,0.000659652,0.0001174197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532169,"about_ca_system_score_gemma":0.002487686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03952564,"about_ca_topic_score_gemma":0.03648569,"domain_scores_codex":[0.9996736,0.0001063178,0.0000119821,0.00004163072,0.0000604107,0.0001060134],"domain_scores_gemma":[0.9993584,0.0004326439,0.00005249149,0.00002235896,0.0001039147,0.00003020442],"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":[0.0002022671,0.0002838456,0.004001542,0.0001648122,0.00003854261,0.0006944509,0.00009081677,0.9804505,0.003074745,0.003717337,0.0003419439,0.006939163],"study_design_scores_gemma":[0.00004858502,0.0005214831,0.0022493,0.00001555908,0.00005655247,0.00005442899,0.0006513378,0.9899793,0.00443935,0.001270135,0.0006980106,0.00001597526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810205,0.000159983,0.00981521,0.0001499951,0.00001058365,0.00008252703,0.0002085541,0.00003608345,0.008516626],"genre_scores_gemma":[0.9967179,0.0001088432,0.002196639,0.00000530173,0.000001971268,0.00002617204,0.0000572761,0.00000526768,0.0008807209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03952564,"threshold_uncertainty_score":0.07859111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285314748","doi":"10.34031/es.2021.1.007","title":"Research of the problems of heat recovery of sewerage flows in residential buildings","year":2021,"lang":"en","type":"article","venue":"Energy Systems","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Queen's University","keywords":"Work (physics); Environmental science; Wastewater; Sewerage; Process (computing); Effluent; Environmental economics; Process engineering; Computer science; Environmental engineering; Engineering; Economics","authors":[{"name":"Dmitriy Vladimirovich Vybornov","is_ca":false},{"name":"Zlata Udovichenko","is_ca":false},{"name":"Н. А. Долгов","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01991793801027172,"gpt":0.2469295576054461,"spread":0.2270116195951744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008744831,0.000468758,0.0006517389,0.0009095663,0.0007190401,0.00148764,0.0007478837,0.0009675205,0.002584191],"category_scores_gemma":[0.002234766,0.0003044069,0.0006537156,0.0007865536,0.001161697,0.001436684,0.0004438702,0.0005508289,0.0003363469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136974,"about_ca_system_score_gemma":0.0008222751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007960586,"about_ca_topic_score_gemma":0.00477079,"domain_scores_codex":[0.9995195,0.0002196546,0.0000173702,0.00008165201,0.00008804297,0.00007380451],"domain_scores_gemma":[0.9993427,0.0004526025,0.00004675113,0.00002213919,0.0001078971,0.00002786605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003643466,0.0002752806,0.01191453,0.002072084,0.0002197622,0.0005585481,0.0007385188,0.6207582,0.01013767,0.1563719,0.00783351,0.1887557],"study_design_scores_gemma":[0.00004438141,0.0003626043,0.01559921,0.0002357489,0.0001102756,0.0004850429,0.001574026,0.8367848,0.008441411,0.1158587,0.02041181,0.00009197226],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5005322,0.09208368,0.3434845,0.006524064,0.0008037538,0.0002673648,0.0004051463,0.0002653973,0.05563396],"genre_scores_gemma":[0.9467255,0.02325404,0.01310927,0.00005691432,0.0004205612,0.00007356641,0.0001718161,0.00004537731,0.01614307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007960586,"threshold_uncertainty_score":0.01582849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408042924","doi":"10.1007/s12667-024-00718-z","title":"Data-driven electricity price calibration based on Bayesian inference","year":2025,"lang":"en","type":"article","venue":"Energy Systems","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Water Power Technologies Office","keywords":"Calibration; Bayesian probability; Bayesian inference; Inference; Econometrics; Electricity; Computer science; Economics; Artificial intelligence; Statistics; Mathematics; Engineering","authors":[{"name":"Haolin Yang","is_ca":false},{"name":"Siby Jose Plathottam","is_ca":false},{"name":"Kristen R. Schell","is_ca":true},{"name":"Todd Levin","is_ca":false},{"name":"Zhi Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01508566568692378,"gpt":0.230376346609395,"spread":0.2152906809224712,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003902248,0.0007819206,0.001492761,0.001274945,0.0005296092,0.001584141,0.002226129,0.002017803,0.004256874],"category_scores_gemma":[0.02725679,0.001278476,0.0007810449,0.001530666,0.0008117031,0.003593429,0.001454225,0.00327379,0.001134808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196863,"about_ca_system_score_gemma":0.00160803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006739852,"about_ca_topic_score_gemma":0.006951741,"domain_scores_codex":[0.9986647,0.0005552564,0.00006626408,0.0002883579,0.0003067856,0.0001186075],"domain_scores_gemma":[0.9900604,0.007584377,0.000439164,0.0006932956,0.001019663,0.0002030511],"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":[0.0002304224,0.00008950716,0.00213047,0.00005267488,0.00007154164,0.00007111811,0.00004465337,0.9245066,0.001075816,0.01390514,0.001833324,0.05598872],"study_design_scores_gemma":[0.00001090362,0.000004323227,0.0001917656,0.000003930994,0.000002800375,0.000008232094,0.000001925496,0.9935274,0.0002697343,0.005854598,0.0001183999,0.000006031529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05698827,0.0002839431,0.9375246,0.0006004523,0.0001214362,0.00005751854,0.0003792568,0.001125902,0.002918724],"genre_scores_gemma":[0.8596415,0.0001801972,0.1361319,0.0002087478,0.0001265113,0.0001019546,0.001053027,0.0002048526,0.002351272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006739852,"threshold_uncertainty_score":0.02063727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320023601","doi":"10.34031/es.2022.2.001","title":"Evaluation of the reduction of the fees for the consumption of electricity when the half-hour maximum reduces","year":2022,"lang":"en","type":"article","venue":"Energy Systems","topic":"Energy Efficiency and Management","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Electricity; Consumption (sociology); Mains electricity; Quarter (Canadian coin); Environmental economics; Production (economics); Energy consumption; Reduction (mathematics); Energy (signal processing); Business; Energy supply; Electric potential energy; Electricity generation; Electric energy consumption; Power (physics); Operations management; Electric energy; Economics; Microeconomics; Engineering; Electrical engineering; Statistics; Mathematics","authors":[{"name":"Ahmad Alzakkar","is_ca":false},{"name":"Elena Gracheva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03973020828156261,"gpt":0.2579153717536655,"spread":0.2181851634721029,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001301616,0.0002805793,0.000270538,0.001054237,0.0002570976,0.0008035869,0.0005471592,0.0005320444,0.001900124],"category_scores_gemma":[0.004464818,0.00008391542,0.0005227911,0.0007068565,0.0003842054,0.0007591408,0.0003964527,0.0003012142,0.0002793795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172055,"about_ca_system_score_gemma":0.0006493473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937124,"about_ca_topic_score_gemma":0.002384335,"domain_scores_codex":[0.9982083,0.0003894666,0.00004938812,0.00006596199,0.001172652,0.0001141835],"domain_scores_gemma":[0.9973382,0.00108533,0.0003656066,0.0002249507,0.0008907898,0.00009511114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.002868531,0.001006845,0.1686199,0.001119256,0.0003049464,0.0007916133,0.000486751,0.3846167,0.0482015,0.02178238,0.00476053,0.3654411],"study_design_scores_gemma":[0.00008206566,0.003297283,0.4642542,0.00009946161,0.0002795781,0.0006711031,0.0009470761,0.4280079,0.08413833,0.005379334,0.01274883,0.00009474035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517096,0.0004508315,0.02182638,0.000206386,0.0000338453,0.0001981918,0.0005051327,0.0001834207,0.02488613],"genre_scores_gemma":[0.9962799,0.00006576929,0.002443881,0.000005969713,0.000003827363,0.00001972849,0.0001203599,0.000009732876,0.001050893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002937124,"threshold_uncertainty_score":0.008503854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}