{"meta":{"query_hash":"53f36e675aec","filters":{"venue":"The Electricity Journal"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/53f36e675aec","api":"https://metacan.xera.ac/api/v1/cohort?venue=The+Electricity+Journal"},"results":[{"id":"W1966350762","doi":"10.1016/j.tej.2014.04.010","title":"Notes from a Small Market: The Energy-only Market in Alberta","year":2014,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market power; Variety (cybernetics); Investment (military); Factor market; Market microstructure; Industrial organization; Nonmarket forces; Market analysis; Economics; Business; Market share analysis; Market rate; Market economy; Order (exchange); Marketing; Finance; Computer science; Politics; Monopoly; Political science","score_opus":0.00459220662865685,"score_gpt":0.16813772956155898,"score_spread":0.16354552293290214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966350762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22985218,0.004659791,0.6705217,0.004709256,0.0014331267,0.0004542602,0.000005509509,0.0002478819,0.088116296],"genre_scores_gemma":[0.99748486,0.000426126,0.0002788501,0.00028981018,0.00047108476,0.000009612245,0.0000018012216,0.00004572577,0.0009921195],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815154,0.00054508407,0.00040691154,0.00014462708,0.00026121602,0.00049064966],"domain_scores_gemma":[0.9976458,0.0017669982,0.00011930834,0.0003411812,0.000050773913,0.00007591623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013228242,0.00020965723,0.00023254895,0.00015922498,0.00019834514,0.00016115911,0.00064563693,0.000103349856,0.00019985356],"category_scores_gemma":[0.00043845587,0.00012874161,0.00008952004,0.0007222137,0.000022622235,0.000110755325,0.000030068499,0.0006556583,0.000015792753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095879025,0.00044647846,0.049130987,0.00010112699,0.0016551677,0.000090479014,0.0060179243,0.20565994,0.012934576,0.008286385,0.2480216,0.46669653],"study_design_scores_gemma":[0.0007398456,0.00007698641,0.017325368,0.00006613755,0.00005782959,0.0003931755,0.000013819112,0.9614257,0.0019845034,0.0038495408,0.013722887,0.00034418053],"about_ca_topic_score_codex":0.0013620924,"about_ca_topic_score_gemma":0.002883704,"teacher_disagreement_score":0.76763266,"about_ca_system_score_codex":0.00018592608,"about_ca_system_score_gemma":0.00006061188,"threshold_uncertainty_score":0.52499306},"labels":[],"label_agreement":null},{"id":"W1977381041","doi":"10.1016/j.tej.2012.03.003","title":"Assessing the Economic Value of Transmission in Alberta's Restructured Electricity Market","year":2012,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity market; Economic shortage; Electricity; Clearing; Transmission (telecommunications); Electricity retailing; Business; Economics; Natural resource economics; Environmental economics; Industrial organization; Engineering; Finance; Telecommunications","score_opus":0.00649132535944546,"score_gpt":0.23130224588412063,"score_spread":0.22481092052467516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977381041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9024276,0.004705117,0.08267665,0.00049526547,0.0007071867,0.00041409562,9.734488e-7,0.00006290898,0.008510205],"genre_scores_gemma":[0.9986565,0.00047090568,0.00042496054,0.00003471491,0.00027950914,0.0000052959717,9.4817653e-7,0.000037473266,0.00008966132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787045,0.0005128972,0.00061020476,0.00010653841,0.00026255028,0.00063736556],"domain_scores_gemma":[0.99882466,0.00057530694,0.00021717064,0.00024897847,0.000035749355,0.000098144425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020541346,0.00020601333,0.0002909843,0.00024684018,0.0002144034,0.00010591112,0.00047324496,0.00012465799,0.00006989377],"category_scores_gemma":[0.00011193489,0.00012721289,0.00011139424,0.0007529789,0.00003029269,0.00054599514,0.000014202981,0.00084784714,0.0000047937415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028671167,0.00021652735,0.03568154,0.00019975628,0.00065752916,0.000011472709,0.006309611,0.7773494,0.062351853,0.0038118858,0.019995596,0.0931281],"study_design_scores_gemma":[0.0009717517,0.00009026643,0.07878652,0.000103781014,0.00012853033,0.000998626,0.000059320377,0.8703258,0.044225834,0.0018166692,0.0020555367,0.00043737644],"about_ca_topic_score_codex":0.0002267895,"about_ca_topic_score_gemma":0.000031571693,"teacher_disagreement_score":0.096228935,"about_ca_system_score_codex":0.000630298,"about_ca_system_score_gemma":0.00014887376,"threshold_uncertainty_score":0.5187591},"labels":[],"label_agreement":null},{"id":"W2030608828","doi":"10.1016/j.tej.2011.09.009","title":"Ontario Feed-in-Tariffs: System Planning Implications and Impacts on Social Welfare","year":2011,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Welfare; Economics; Social Welfare; Economic surplus; Public economics; Microeconomics; Market economy; Political science","score_opus":0.054299120316087204,"score_gpt":0.29131148939922563,"score_spread":0.23701236908313844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030608828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93535316,0.00013045802,0.00003541395,0.017369093,0.00010243161,0.00013795271,0.000009654643,0.00001786214,0.046843987],"genre_scores_gemma":[0.9984339,0.000019368155,0.000008380448,0.0005851512,0.00031625168,0.0000029246537,1.8690555e-7,0.000005036086,0.00062882056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99907064,0.000105390856,0.00015150488,0.000092145194,0.00018491941,0.00039539265],"domain_scores_gemma":[0.99954647,0.000058262023,0.00014681714,0.0000694669,0.00003541264,0.00014359418],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000645124,0.00007477755,0.00010958747,0.00008332409,0.0017721334,0.000096687174,0.0002325379,0.00006800407,0.000046820704],"category_scores_gemma":[0.00007605073,0.000058555237,0.00004244776,0.00027135576,0.00008053896,0.00012291259,0.000010940477,0.0004966651,0.0000061461838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013625187,0.00007064996,0.04987418,0.000007549681,0.000051434763,0.00005315498,0.20965917,0.000005212646,0.00008028443,0.71139073,0.022141028,0.0065303594],"study_design_scores_gemma":[0.00023491465,0.00005137688,0.9675778,0.000029169849,0.000014226614,0.0000863501,0.0016332328,0.0000056910644,0.000028806655,0.002488516,0.027739748,0.00011016267],"about_ca_topic_score_codex":0.42177075,"about_ca_topic_score_gemma":0.5730256,"teacher_disagreement_score":0.9177036,"about_ca_system_score_codex":0.0009332888,"about_ca_system_score_gemma":0.00048319082,"threshold_uncertainty_score":0.9995274},"labels":[],"label_agreement":null},{"id":"W2039417394","doi":"10.1016/j.tej.2007.02.005","title":"How Effective Are M&amp;As in Distribution? Evaluating the Government's Policy of Using Mergers and Amalgamations to Drive Efficiencies into Ontario's LDCs","year":2007,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Incentive; Scope (computer science); Government (linguistics); Distribution (mathematics); Industrial organization; Welfare; Economics; Business; Public economics; Microeconomics; Finance; Market economy; Computer science","score_opus":0.025889686582754118,"score_gpt":0.3485487290078418,"score_spread":0.3226590424250877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039417394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824628,0.0001288453,0.0028884886,0.013701298,0.000052533174,0.00031184565,0.000015791344,0.0000035450444,0.00043483742],"genre_scores_gemma":[0.99871117,0.000026830481,0.000081725964,0.00049232424,0.0002162505,0.0000035135395,2.5341106e-7,0.0000041348126,0.00046378822],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9982903,0.00031300515,0.00019761352,0.00010431574,0.00069045176,0.00040433023],"domain_scores_gemma":[0.99865645,0.0006775927,0.00031248655,0.000100013836,0.00012000127,0.00013343405],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030567644,0.00008892949,0.00013605562,0.000070245624,0.0013134624,0.00014679482,0.0002556993,0.00004562466,0.000008360504],"category_scores_gemma":[0.0036432901,0.00006151599,0.000054387077,0.0010965436,0.00024739408,0.00016173483,0.000036305122,0.0003531518,8.4173524e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059915776,0.00022079618,0.121759936,0.00002913563,0.00022907743,0.000023559953,0.6330253,0.009355683,0.03131705,0.121326424,0.004376302,0.07773756],"study_design_scores_gemma":[0.00080886064,0.0003594551,0.94020206,0.00018533705,0.000101239326,0.000071345334,0.022915004,0.0008417377,0.00383323,0.014585827,0.015699226,0.00039670966],"about_ca_topic_score_codex":0.46655923,"about_ca_topic_score_gemma":0.7575458,"teacher_disagreement_score":0.8184421,"about_ca_system_score_codex":0.0027046965,"about_ca_system_score_gemma":0.0007549793,"threshold_uncertainty_score":0.9999867},"labels":[],"label_agreement":null},{"id":"W2079541384","doi":"10.1016/j.tej.2013.12.009","title":"Are Residential Customers Price-Responsive to an Inclining Block Rate? Evidence from British Columbia","year":2014,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Energy Efficiency and Management","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Block (permutation group theory); Agricultural economics; Price elasticity of demand; Business; Economics; Microeconomics; Mathematics","score_opus":0.017457470181161838,"score_gpt":0.2581131267570665,"score_spread":0.24065565657590465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079541384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99294317,0.00027945897,0.0031914455,0.0011160212,0.00057237427,0.00014863037,0.0000023415478,0.000084993146,0.0016615768],"genre_scores_gemma":[0.992753,0.000153647,0.00030088075,0.0028589254,0.0010961486,0.000011861214,0.0000015379942,0.000031567022,0.0027923796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9967193,0.0012657746,0.00046919746,0.00037014045,0.0005646295,0.00061097153],"domain_scores_gemma":[0.99786884,0.00074640143,0.0004513618,0.00040640577,0.00025035473,0.00027666934],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002647087,0.00015810654,0.00028390475,0.00012513045,0.0011758043,0.0010517045,0.00092645834,0.00009299776,0.0003330085],"category_scores_gemma":[0.0024361676,0.00017613519,0.000114047834,0.00072993524,0.000062080544,0.00036139,0.00017666201,0.00063819793,0.00008782472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019770272,0.0008669669,0.010788947,0.00003773102,0.0008191059,0.0011422167,0.005594976,0.45658708,0.050928224,0.0015224725,0.28390485,0.1858304],"study_design_scores_gemma":[0.0036197768,0.0025751204,0.7452521,0.001321617,0.00068491715,0.00087337865,0.0017889207,0.019658666,0.009236627,0.015063021,0.19759247,0.0023334213],"about_ca_topic_score_codex":0.038514335,"about_ca_topic_score_gemma":0.10291295,"teacher_disagreement_score":0.7344631,"about_ca_system_score_codex":0.00017955268,"about_ca_system_score_gemma":0.00009678912,"threshold_uncertainty_score":0.9999853},"labels":[],"label_agreement":null},{"id":"W2079593790","doi":"10.1016/j.tej.2007.10.005","title":"Export Demand Response in the Ontario Electricity Market","year":2007,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Electricity market; Mains electricity; Economics; Supply and demand; Mean reversion; Industrial organization; Business; Electricity retailing; Demand shock; Electricity price; Electricity demand; Monetary economics; Market economy; International economics; Commerce; Microeconomics; Electricity generation; Financial economics; Power (physics); Engineering","score_opus":0.007685336472541902,"score_gpt":0.21026686772912245,"score_spread":0.20258153125658054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079593790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83469903,0.0011770858,0.15193875,0.0002947445,0.00031255189,0.00037895684,4.6834023e-7,0.000097919714,0.011100464],"genre_scores_gemma":[0.99842227,0.00014588944,0.00023267638,0.00023805336,0.00022360939,0.00000850749,8.8097823e-7,0.000033164586,0.00069496216],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9970857,0.00061719766,0.0006584924,0.00016020559,0.0006213652,0.00085707515],"domain_scores_gemma":[0.9983632,0.00095164473,0.00014947078,0.00034887076,0.0000893864,0.00009745355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012552857,0.00024197911,0.0002510619,0.0004364646,0.00033624057,0.00015630298,0.0007235694,0.00013446629,0.000103272665],"category_scores_gemma":[0.00030379865,0.00015265867,0.00010860905,0.0017813434,0.000027016482,0.00021857937,0.000017360564,0.0015639869,0.000016415814],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.023259198,0.0016909337,0.18936001,0.00016799706,0.0016043948,0.0047243903,0.07968129,0.19625627,0.060848802,0.0014230219,0.38258114,0.058402553],"study_design_scores_gemma":[0.0031259481,0.0011734457,0.85911685,0.00010464543,0.00017732165,0.013264238,0.00036527103,0.07522385,0.017533977,0.0022480942,0.026392598,0.0012737558],"about_ca_topic_score_codex":0.00033393243,"about_ca_topic_score_gemma":0.0035180766,"teacher_disagreement_score":0.6697568,"about_ca_system_score_codex":0.0011747058,"about_ca_system_score_gemma":0.00021288334,"threshold_uncertainty_score":0.6794832},"labels":[],"label_agreement":null},{"id":"W2086789394","doi":"10.1016/j.tej.2013.03.003","title":"British Columbia Electricity Supply Gap Strategy: A Redefinition of Self-Sufficiency","year":2013,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mandate; Electricity; Economic shortage; Revenue; Mains electricity; Business; Liquefied natural gas; Natural resource economics; Electricity retailing; Self-sufficiency; Economics; Natural gas; Electricity market; Finance; Power (physics); Waste management; Engineering; Government (linguistics)","score_opus":0.016357294977839117,"score_gpt":0.2451533510476377,"score_spread":0.22879605606979858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086789394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9453812,0.0005527305,0.000089984314,0.0034475822,0.00011665473,0.00037094657,0.000026558277,0.0000456362,0.049968686],"genre_scores_gemma":[0.993924,0.0013456098,0.00006732173,0.0006761796,0.00044683617,0.000009521267,9.296442e-7,0.000010696956,0.0035188724],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9977653,0.00040503283,0.00037248817,0.00015313846,0.0006057416,0.0006983106],"domain_scores_gemma":[0.99873084,0.0002090687,0.00039520432,0.00014401304,0.00029065824,0.00023019715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011943945,0.00008904083,0.00020263827,0.000062303916,0.0011834546,0.0007808275,0.00054914516,0.00011017668,0.0024495614],"category_scores_gemma":[0.00048927526,0.000105303945,0.00013228123,0.0011205701,0.00020950676,0.0003222972,0.000016803257,0.0005751726,0.000033616612],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020092595,0.0004507785,0.0064040753,0.000017803515,0.00009234759,0.000037596932,0.005253826,0.000017129978,0.0018789925,0.031205378,0.9122311,0.042390905],"study_design_scores_gemma":[0.0021164727,0.0015511364,0.55075693,0.000193395,0.00021810208,0.0014928482,0.0016911575,0.0010461078,0.00072257034,0.30363312,0.13532554,0.0012526355],"about_ca_topic_score_codex":0.6754573,"about_ca_topic_score_gemma":0.37226596,"teacher_disagreement_score":0.77690554,"about_ca_system_score_codex":0.00033750248,"about_ca_system_score_gemma":0.0011999204,"threshold_uncertainty_score":0.9984623},"labels":[],"label_agreement":null},{"id":"W2553061511","doi":"10.1016/j.tej.2016.10.012","title":"KWh effects of residential optional dynamic pricing: Winter evidence from British Columbia, Canada","year":2016,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Education University of Hong Kong","keywords":"Environmental science; Economics","score_opus":0.008945166370225435,"score_gpt":0.18265789525173565,"score_spread":0.1737127288815102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553061511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98843956,0.0017604365,0.0067914603,0.0010207936,0.0009588566,0.00011398962,0.000033365515,0.000009684256,0.00087187137],"genre_scores_gemma":[0.9963325,0.0017726844,0.00013317192,0.00015157397,0.00029662318,0.0000030057984,0.0000011753174,0.000019679444,0.001289547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986346,0.00005932544,0.0006437491,0.00022938944,0.00008514156,0.0003478092],"domain_scores_gemma":[0.9983959,0.00064779486,0.00058472075,0.00021529978,0.00006174808,0.00009448705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074963755,0.000098158154,0.00034320838,0.00006350292,0.00025097237,0.0002655247,0.0004665543,0.00006552109,0.0006485076],"category_scores_gemma":[0.0006358599,0.0001059406,0.00012556287,0.00015475247,0.00006654278,0.00029847413,0.000060708273,0.00025112063,0.000032920634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024939043,0.000200677,0.8138676,0.000090386166,0.0007147363,0.00016945579,0.0003830886,0.00012990505,0.005150646,0.0004640862,0.1049303,0.07364969],"study_design_scores_gemma":[0.0015792832,0.00020160638,0.9443283,0.00057722256,0.000055366396,0.00029373835,0.000013476215,0.0010198293,0.0008991039,0.045657646,0.00484953,0.00052488025],"about_ca_topic_score_codex":0.5466466,"about_ca_topic_score_gemma":0.83884895,"teacher_disagreement_score":0.29220238,"about_ca_system_score_codex":0.00064844784,"about_ca_system_score_gemma":0.00031390096,"threshold_uncertainty_score":0.7100704},"labels":[],"label_agreement":null},{"id":"W2603591328","doi":"10.1016/j.tej.2017.03.002","title":"Ontario electricity: When prophecy failed but rent collection succeeded","year":2017,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Electricity; Restructuring; Electricity market; Economics; Electricity retailing; Market economy; Business; Natural resource economics; Engineering; Finance","score_opus":0.02824680165880255,"score_gpt":0.27953011414932605,"score_spread":0.2512833124905235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603591328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87788355,0.00026588945,0.0005022001,0.05342511,0.00079047837,0.00055506226,0.000007674555,0.000044104512,0.0665259],"genre_scores_gemma":[0.895844,0.00023847532,0.000047053152,0.0010253493,0.0013885498,0.000009876113,3.847118e-7,0.0000120439245,0.10143428],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99767417,0.00030445374,0.00028875325,0.000203964,0.00072137854,0.00080731],"domain_scores_gemma":[0.9983814,0.000112988826,0.0006247773,0.00037047628,0.00021624796,0.00029413906],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001616119,0.00015885153,0.00022880145,0.000121094956,0.008875934,0.0011527158,0.0011230527,0.00012885363,0.00055015285],"category_scores_gemma":[0.0011781295,0.00012266145,0.00015885707,0.00027499735,0.00025480016,0.0004988778,0.00004404125,0.0009822935,0.000059255268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007276128,0.0002956977,0.03461391,0.000010827676,0.00032816106,0.00015028636,0.05650308,0.000023482193,0.002112331,0.032924123,0.81973076,0.052579705],"study_design_scores_gemma":[0.0014871488,0.0003937568,0.14837913,0.00004931164,0.00012377629,0.00020288173,0.00031286696,0.00018890951,0.0028149143,0.0535205,0.79195356,0.00057323],"about_ca_topic_score_codex":0.8002728,"about_ca_topic_score_gemma":0.8971743,"teacher_disagreement_score":0.113765225,"about_ca_system_score_codex":0.0022245778,"about_ca_system_score_gemma":0.0029367912,"threshold_uncertainty_score":0.9998842},"labels":[],"label_agreement":null},{"id":"W2606814356","doi":"10.1016/j.tej.2017.01.011","title":"Modeling the value of integrated U.S. and Canadian power sector expansion","year":2017,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Electricity; Environmental economics; Electric power system; Flexibility (engineering); Variable renewable energy; Electric power transmission; Grid; Transmission system; Business; Software deployment; Transmission (telecommunications); Industrial organization; Economics; Natural resource economics; Telecommunications; Power (physics); Engineering; Electrical engineering","score_opus":0.008719455630106055,"score_gpt":0.1977402026130146,"score_spread":0.18902074698290852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606814356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960236,0.0006588969,0.035848524,0.00038483494,0.00041072202,0.00008976986,0.0000037345342,0.000027882455,0.002339625],"genre_scores_gemma":[0.9994923,0.00019098328,0.00011957424,0.0000395772,0.00008072024,0.0000016483212,0.0000010002872,0.000019864407,0.000054320164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932295,0.00006645254,0.00019835045,0.00005811159,0.00013239986,0.00022172861],"domain_scores_gemma":[0.99943006,0.000023847622,0.00007135683,0.00024761146,0.00015124107,0.000075902884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005229388,0.000103169084,0.00011796578,0.000103212005,0.00065836706,0.000161015,0.00034432215,0.00007135446,0.000020991647],"category_scores_gemma":[0.000119998746,0.000055329772,0.000035528774,0.00010666747,0.000034895944,0.00017153914,0.000011560725,0.0004491793,0.0000017924403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008765874,0.0000028380528,0.00016432563,0.0000040024124,0.000059669794,0.0000034173468,0.00053565105,0.9911495,0.0051613306,0.0010224145,0.00040622108,0.0014818822],"study_design_scores_gemma":[0.00011563069,0.000021044903,0.00052863674,0.000040547224,0.000015795978,0.00013403181,0.00010738711,0.9949849,0.0035026364,0.00027648936,0.00019981292,0.00007306941],"about_ca_topic_score_codex":0.034663256,"about_ca_topic_score_gemma":0.011100404,"teacher_disagreement_score":0.0392563,"about_ca_system_score_codex":0.00015422647,"about_ca_system_score_gemma":0.00013401915,"threshold_uncertainty_score":0.971765},"labels":[],"label_agreement":null},{"id":"W2612902751","doi":"10.1016/j.tej.2017.03.011","title":"An integrated reconfigurable control and self-organizing communication framework for community resilience microgrids","year":2017,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Resilience (materials science); Control (management); Electricity; Microgrid; Computer science; Mains electricity; Risk analysis (engineering); Distributed computing; Computer security; Telecommunications; Business; Engineering; Electrical engineering","score_opus":0.009136105385163686,"score_gpt":0.23715473382326813,"score_spread":0.22801862843810444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612902751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47661468,0.0052771713,0.51572376,0.0011418075,0.00021797432,0.00048553903,0.000013488541,0.00023980087,0.00028575264],"genre_scores_gemma":[0.98473257,0.00287614,0.012110677,0.00012462966,0.000111580295,0.000009581737,0.0000045449437,0.00002248597,0.0000077853865],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911314,0.00026399887,0.00022167487,0.00007022559,0.00007554815,0.0002554011],"domain_scores_gemma":[0.9986357,0.00033948585,0.00016698099,0.0005969586,0.00018356506,0.000077326666],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013724032,0.00012650163,0.00017366909,0.000050835213,0.0028878306,0.00066938,0.000809494,0.000097907454,0.000008583113],"category_scores_gemma":[0.00031489905,0.0000957473,0.000038284103,0.00008291567,0.0000651137,0.00039265002,0.000014943578,0.0010305597,0.0000017160127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085461576,0.00082532223,0.009371226,0.00018561046,0.0011339396,0.000006327133,0.012597919,0.07396444,0.25686178,0.005382068,0.0051232935,0.63369346],"study_design_scores_gemma":[0.0028275903,0.00046949755,0.018040204,0.00017062898,0.0002302564,0.00032379528,0.00062789046,0.93180233,0.020248719,0.020013236,0.0047089327,0.000536919],"about_ca_topic_score_codex":0.00007818223,"about_ca_topic_score_gemma":0.000067145185,"teacher_disagreement_score":0.8578379,"about_ca_system_score_codex":0.000060796756,"about_ca_system_score_gemma":0.00003328468,"threshold_uncertainty_score":0.9984103},"labels":[],"label_agreement":null},{"id":"W2790046275","doi":"10.1016/j.tej.2018.01.007","title":"A framework for assessing economic and environmental benefits from transmission line rehabilitation investments","year":2018,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Rehabilitation; Business; Line (geometry); Electric power transmission; Transmission (telecommunications); Environmental economics; Natural resource economics; Industrial organization; Economics; Environmental planning; Risk analysis (engineering); Engineering; Environmental science; Telecommunications; Electrical engineering; Medicine","score_opus":0.0077723794714398995,"score_gpt":0.23425706224316684,"score_spread":0.22648468277172693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790046275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7827402,0.00061883376,0.21599104,0.00030225204,0.00013609299,0.00013311065,0.0000067587766,0.00002258982,0.00004915574],"genre_scores_gemma":[0.980894,0.00012627082,0.018325942,0.00010518492,0.0005172988,0.00000465746,0.000005736054,0.00001594327,0.0000049206315],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993657,0.000046980935,0.00020394675,0.000108065404,0.000077280725,0.00019806782],"domain_scores_gemma":[0.99941957,0.00034907475,0.000046891735,0.00009924663,0.000013071921,0.00007213878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002634833,0.00010764249,0.00011619534,0.00004414476,0.00033146367,0.00011580625,0.00009385831,0.000081736085,0.00006207291],"category_scores_gemma":[0.000047233854,0.00007906916,0.00004814181,0.00004321298,0.00007108331,0.00026156544,0.0000088858105,0.00026328384,0.0000016048364],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034837952,0.0001305374,0.014528945,0.000078344594,0.0003589097,0.0000018575815,0.009081385,0.012055629,0.024784664,0.0058112796,0.0022145903,0.9306055],"study_design_scores_gemma":[0.00079017883,0.000489449,0.07260658,0.000047137746,0.00007750548,0.0000408541,0.0005239253,0.15122439,0.006777786,0.7640994,0.0030632513,0.00025953518],"about_ca_topic_score_codex":0.000008434419,"about_ca_topic_score_gemma":0.0000027331198,"teacher_disagreement_score":0.93034595,"about_ca_system_score_codex":0.0002772716,"about_ca_system_score_gemma":0.000027224614,"threshold_uncertainty_score":0.3224347},"labels":[],"label_agreement":null},{"id":"W2904333925","doi":"10.1016/j.tej.2018.11.005","title":"Including electricity imports in California’s cap-and-trade program: A case study of a border carbon adjustment in practice","year":2018,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Pacific Institute for Climate Solutions; Department of Water Resources","keywords":"Opposition (politics); Electricity; Obligation; Emissions trading; Economics; Politics; International economics; International trade; Business; Political science; Engineering; Greenhouse gas; Law","score_opus":0.019193257220685614,"score_gpt":0.3124294453023512,"score_spread":0.2932361880816656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904333925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970689,0.00083808793,0.000027140897,0.00042310567,0.00005918363,0.0004716875,0.0000015538104,0.000023695147,0.0010866402],"genre_scores_gemma":[0.9988165,0.0005775731,0.000119219614,0.00023263012,0.00016022759,0.000048172384,0.0000013517523,0.000025355532,0.000018958128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975795,0.00047903656,0.0007463029,0.00024033246,0.00043204718,0.000522769],"domain_scores_gemma":[0.99898446,0.00021021906,0.00044702986,0.00021209702,0.00004034675,0.000105833664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011838565,0.00022079429,0.00033376468,0.00037997024,0.00020115056,0.00003266906,0.00016253404,0.00008848163,0.0000158903],"category_scores_gemma":[0.00013961714,0.00016656466,0.000051678933,0.00095464935,0.00009638293,0.00015340185,0.000029360122,0.0006646519,6.803661e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016970736,0.016687712,0.74907994,0.000078810765,0.0011048665,0.008652808,0.08697296,0.013675438,0.0063483557,0.0029045476,0.00012775336,0.112669736],"study_design_scores_gemma":[0.023265772,0.01488195,0.80919605,0.0002520192,0.0020412812,0.0410658,0.05086607,0.022564698,0.016864989,0.0043070023,0.012278549,0.0024157981],"about_ca_topic_score_codex":0.04849843,"about_ca_topic_score_gemma":0.05057617,"teacher_disagreement_score":0.11025394,"about_ca_system_score_codex":0.00023793394,"about_ca_system_score_gemma":0.00009866455,"threshold_uncertainty_score":0.96674836},"labels":[],"label_agreement":null},{"id":"W3087617280","doi":"10.1016/j.tej.2020.106848","title":"Rising market concentration in Texas’s retail electricity market","year":2020,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Expansive; Competition (biology); Electricity retailing; Retail market; Electricity market; Market concentration; Market power; Electricity; Business; Market economy; Commerce; Market structure; Wholesale market; Industrial organization; Economics; Marketing; Monopoly; Engineering","score_opus":0.010654029213831219,"score_gpt":0.1967203963961414,"score_spread":0.18606636718231018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087617280","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39199594,0.009842015,0.4856802,0.0056811078,0.0011250778,0.0015588001,0.000008676084,0.0009581683,0.10315004],"genre_scores_gemma":[0.9975608,0.0009699686,0.00034897865,0.00040993842,0.00042044825,0.0000054669918,0.0000024486733,0.00005022676,0.0002317481],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974601,0.00046747192,0.00066907756,0.00021852984,0.00047882987,0.00070596044],"domain_scores_gemma":[0.9990945,0.00023789909,0.00018645829,0.00018619311,0.00010894876,0.00018599704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013459037,0.00026371158,0.0003371785,0.00015871783,0.00020280931,0.00021589769,0.00045925422,0.00014051521,0.00040846583],"category_scores_gemma":[0.0004259854,0.00022109368,0.000099747296,0.0020429536,0.000023915254,0.00039690916,0.000021926176,0.0012310101,0.000029301971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014567416,0.00028718135,0.053724278,0.0003491401,0.00075365975,0.00041674203,0.004418326,0.22273876,0.04687472,0.0006283489,0.5800429,0.088309206],"study_design_scores_gemma":[0.00096727884,0.00015509636,0.008408359,0.00004496564,0.000045919754,0.00032931435,0.000022678068,0.9785608,0.0077329306,0.00025293216,0.0031118165,0.00036789937],"about_ca_topic_score_codex":0.0000148270565,"about_ca_topic_score_gemma":0.00001372015,"teacher_disagreement_score":0.75582206,"about_ca_system_score_codex":0.0005511958,"about_ca_system_score_gemma":0.00013249002,"threshold_uncertainty_score":0.90159386},"labels":[],"label_agreement":null},{"id":"W3110236022","doi":"10.1016/j.tej.2020.106878","title":"High electrification futures: Impacts to the U.S. bulk power system","year":2020,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Renewable Energy Laboratory; Pacific Northwest National Laboratory; Office of Energy Efficiency; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Environmental Defense Fund; Natural Resources Canada","keywords":"Electrification; Futures contract; Environmental economics; Natural resource economics; Electricity; Rural electrification; Business; Economics; Engineering; Electrical engineering; Finance","score_opus":0.006635990697534596,"score_gpt":0.1794587249971947,"score_spread":0.1728227342996601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110236022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69705635,0.0038892846,0.22921179,0.057073433,0.0035966174,0.0010483541,0.0000066459047,0.0012126372,0.0069048665],"genre_scores_gemma":[0.9963473,0.00015538579,0.00009746099,0.0015151744,0.0017924099,0.000013307697,0.0000013121538,0.000037229765,0.000040384966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865305,0.000103367594,0.0002812367,0.00012669548,0.00039412818,0.0004415374],"domain_scores_gemma":[0.9993276,0.000063554806,0.00006928066,0.00028248507,0.00006508722,0.00019198415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005665313,0.00017426549,0.00015845582,0.00008829718,0.00038325705,0.0001914357,0.00066500093,0.00004661527,0.00003859725],"category_scores_gemma":[0.00008841282,0.00009963124,0.00008268407,0.000918719,0.00000932289,0.000094164476,0.000024053421,0.0005933474,0.0002197771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007785448,0.000017028126,0.000041981173,0.000032691794,0.0002950686,0.000021884958,0.001596914,0.71205693,0.019217772,0.008070293,0.25388518,0.0046863793],"study_design_scores_gemma":[0.0021462047,0.0013627555,0.030369034,0.00015718707,0.00049321423,0.001178097,0.0017403896,0.24893136,0.15252873,0.00054619287,0.55882764,0.0017191893],"about_ca_topic_score_codex":0.000019648198,"about_ca_topic_score_gemma":0.000008885145,"teacher_disagreement_score":0.4631256,"about_ca_system_score_codex":0.00029582944,"about_ca_system_score_gemma":0.000039969233,"threshold_uncertainty_score":0.4062844},"labels":[],"label_agreement":null},{"id":"W3113787841","doi":"10.1016/j.tej.2020.106903","title":"Going viral: The impacts of covid19 on retail electricity","year":2020,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Remuneration; Electricity; Business; Business model; Key (lock); Coronavirus disease 2019 (COVID-19); Mains electricity; Grid; Industrial organization; Environmental economics; Commerce; Economics; Marketing; Finance; Engineering; Computer science; Computer security; Medicine","score_opus":0.014930916475880917,"score_gpt":0.20505439925811406,"score_spread":0.19012348278223315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113787841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641712,0.0015087087,0.018728577,0.0065532303,0.00044582476,0.0002801829,0.000003177933,0.0002565677,0.008052547],"genre_scores_gemma":[0.99701786,0.0007027225,0.000049495862,0.0015058515,0.0006382406,0.0000034258642,7.6706385e-7,0.0000378614,0.000043796215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998371,0.00016295425,0.0003723634,0.00012395225,0.0004916718,0.0004780488],"domain_scores_gemma":[0.99913585,0.00026584056,0.00014185185,0.0002711481,0.00005498913,0.00013032983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075900205,0.00020176754,0.00023800976,0.0000996599,0.0002533175,0.00008431358,0.00069004716,0.00005276393,0.000060224163],"category_scores_gemma":[0.0002845543,0.000117601274,0.00015022107,0.00086412445,0.00003864856,0.00011485898,0.00005185435,0.0009809644,0.000049686838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037679673,0.00009812702,0.0018860039,0.00009858864,0.0008830011,0.00006176629,0.0014509711,0.7724646,0.06821132,0.005898836,0.12954,0.019030048],"study_design_scores_gemma":[0.0019935118,0.0016987828,0.017412493,0.000103886116,0.0003621296,0.00027006396,0.00010878387,0.63249516,0.26315856,0.0020894709,0.07944274,0.0008644103],"about_ca_topic_score_codex":0.0000148380705,"about_ca_topic_score_gemma":0.0000050865533,"teacher_disagreement_score":0.19494724,"about_ca_system_score_codex":0.00017440578,"about_ca_system_score_gemma":0.000046370114,"threshold_uncertainty_score":0.47956407},"labels":[],"label_agreement":null},{"id":"W3195749126","doi":"10.1016/j.tej.2021.107012","title":"Electricity as a service and local control: Responding to a post-Covid world","year":2021,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Electricity; Service (business); Business; Focus (optics); Control (management); Mains electricity; Economics; Electricity market; Industrial organization; Public economics; Environmental economics; Market economy; Marketing; Engineering; Electrical engineering; Management","score_opus":0.017330169528796152,"score_gpt":0.23225588460316077,"score_spread":0.21492571507436461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195749126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92238903,0.0058253803,0.033088427,0.022478329,0.00034299775,0.00024552096,0.00003135619,0.000053743326,0.015545238],"genre_scores_gemma":[0.96850836,0.00048072133,0.00025910165,0.026167387,0.00039632866,0.000008503177,0.0000020580417,0.00003706035,0.0041404497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99788976,0.00014115254,0.00066770724,0.0004307986,0.00012253995,0.00074806076],"domain_scores_gemma":[0.99849313,0.00026928508,0.00037366847,0.00032056405,0.00022377285,0.00031960034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015693426,0.0002418155,0.0005460317,0.0009390421,0.0007272441,0.00035947835,0.0003916747,0.00010240307,0.00026070903],"category_scores_gemma":[0.00024449985,0.00022236272,0.00014761357,0.0034550494,0.000046133275,0.00025244456,0.00008254973,0.00085004594,0.00030833713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040994314,0.0008564216,0.024710787,0.00012915299,0.0009952276,0.0017172236,0.012174739,0.0020751294,0.019262616,0.86250937,0.01825597,0.053213943],"study_design_scores_gemma":[0.006400753,0.0010644873,0.037791062,0.00013255254,0.00012860434,0.0066934964,0.0003061928,0.010013837,0.008411594,0.05873032,0.86865455,0.0016725283],"about_ca_topic_score_codex":0.0005358312,"about_ca_topic_score_gemma":0.0006348089,"teacher_disagreement_score":0.8503986,"about_ca_system_score_codex":0.00030932948,"about_ca_system_score_gemma":0.00025859213,"threshold_uncertainty_score":0.90676886},"labels":[],"label_agreement":null},{"id":"W4210254026","doi":"10.1016/j.tej.2022.107080","title":"Does dynamic pricing work in a winter-peaking climate? A case study of Hydro Quebec","year":2022,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Desjardins","funders":"","keywords":"Work (physics); Environmental science; Hydro power; Hydroelectricity; Climate change; Economics; Meteorology; Geography; Engineering; Water resource management; Oceanography; Geology; Electrical engineering","score_opus":0.005218323653306488,"score_gpt":0.21522961050368727,"score_spread":0.21001128685038079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210254026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906868,0.00042051045,0.007832327,0.000040320854,0.0004027478,0.00041961414,0.0000010664903,0.00007933863,0.00011729708],"genre_scores_gemma":[0.9997334,0.000029210005,0.00007129943,0.000012275557,0.000043679698,0.000029146162,5.1109885e-7,0.000037797457,0.00004271743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979951,0.0004353012,0.00061148487,0.00013893873,0.00037190513,0.0004472725],"domain_scores_gemma":[0.9993062,0.00017055962,0.00022001262,0.00022098729,0.000039661878,0.000042569867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013922903,0.00016269744,0.0002831848,0.00048534115,0.00036532278,0.000062058636,0.00034284053,0.000030012661,0.000032322303],"category_scores_gemma":[0.000042502077,0.000107544874,0.000063769265,0.0019030948,0.000009897553,0.00013915871,0.000084470084,0.0009749011,0.000001054008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010937848,0.00035121985,0.01454538,0.000040285002,0.00015120149,0.0019672713,0.020595629,0.9532728,0.0013447423,0.000007851229,0.000076652446,0.0075375955],"study_design_scores_gemma":[0.0028579542,0.00096842175,0.006651565,0.00016872754,0.00016898954,0.020324219,0.020090051,0.9473903,0.0005594752,0.00009503324,0.00008545647,0.0006397968],"about_ca_topic_score_codex":0.00133912,"about_ca_topic_score_gemma":0.0058141206,"teacher_disagreement_score":0.01835695,"about_ca_system_score_codex":0.00096529874,"about_ca_system_score_gemma":0.000054132455,"threshold_uncertainty_score":0.43855527},"labels":[],"label_agreement":null},{"id":"W4221006047","doi":"10.1016/j.tej.2022.107109","title":"Do gentailers charge higher residential electricity prices in the Texas retail electricity market?","year":2022,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Electricity; Electricity retailing; Competition (biology); Business; Electricity market; Electricity pricing; Market power; Retail market; Industrial organization; Commerce; Marketing; Microeconomics; Economics; Engineering; Electrical engineering","score_opus":0.02870049609125515,"score_gpt":0.2186858013558014,"score_spread":0.18998530526454624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221006047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.870385,0.0044555636,0.0005421844,0.0057557714,0.00132989,0.0006737656,0.00003517065,0.00006406977,0.1167586],"genre_scores_gemma":[0.9921379,0.002374447,0.00005583614,0.0017229272,0.0008385792,0.000047607064,0.0000072285407,0.000060947514,0.0027545423],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99585646,0.00053350814,0.0013574868,0.0006166966,0.00031714755,0.0013187121],"domain_scores_gemma":[0.99749047,0.00046732565,0.0011900238,0.00066077715,0.000055586115,0.0001358411],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009862284,0.00038682326,0.0006642148,0.0008231656,0.0019246236,0.00068447954,0.0021624174,0.0001386476,0.006445696],"category_scores_gemma":[0.00027571848,0.00031805833,0.0003925163,0.0024015151,0.000093305374,0.00046912825,0.00023551991,0.0026723775,0.00024425623],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031867716,0.0024858054,0.42848188,0.00007849035,0.0010099978,0.00041265268,0.005459451,0.0017021714,0.00058252166,0.13284886,0.39913157,0.024619862],"study_design_scores_gemma":[0.004656568,0.0012839051,0.34820235,0.00002156144,0.00015789346,0.0014990626,0.000438308,0.013843444,0.00044407736,0.12959462,0.49768895,0.002169236],"about_ca_topic_score_codex":0.0005079312,"about_ca_topic_score_gemma":0.00008858934,"teacher_disagreement_score":0.1217529,"about_ca_system_score_codex":0.0012243034,"about_ca_system_score_gemma":0.00019472002,"threshold_uncertainty_score":0.99992716},"labels":[],"label_agreement":null},{"id":"W4223474842","doi":"10.1016/j.tej.2022.107111","title":"Impact of COVID-19 on Ontario’s electricity market: Load, generation, emissions","year":2022,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Electricity; Electricity generation; Electricity market; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Economics; Environmental science; Natural resource economics; Engineering; Power (physics); Electrical engineering; Virology; Medicine; Physics","score_opus":0.03926787702152481,"score_gpt":0.3255572967687366,"score_spread":0.28628941974721184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223474842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878312,0.00006774955,0.0034632501,0.0039923983,0.00014798639,0.00036286647,0.000027322365,0.00003895227,0.0040682973],"genre_scores_gemma":[0.9932555,0.000031155065,0.0000717862,0.0032696102,0.0001244244,0.000014876981,0.000003903809,0.00002099727,0.0032077522],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9953417,0.0013949428,0.0005870587,0.00033096832,0.0016852762,0.00066006044],"domain_scores_gemma":[0.99771017,0.0005687109,0.0005730927,0.00054128293,0.000042075382,0.0005646487],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00459383,0.000261128,0.00030764967,0.00014688219,0.0020167686,0.000072190654,0.0009591052,0.00006107897,0.05421864],"category_scores_gemma":[0.0016533544,0.00018207204,0.00037354877,0.0013582595,0.00012684388,0.00017707936,0.0002799377,0.001520077,0.00005095016],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012495879,0.0013289647,0.22624391,0.0000062332483,0.00018804561,0.000048773243,0.005182437,0.10434721,0.054390635,0.00009698047,0.60035336,0.006563852],"study_design_scores_gemma":[0.0035039475,0.005411771,0.84261197,0.000008231097,0.00018427504,0.0018584144,0.00016599846,0.021934725,0.0056533827,0.0074737505,0.11008453,0.0011089706],"about_ca_topic_score_codex":0.047160562,"about_ca_topic_score_gemma":0.0068111024,"teacher_disagreement_score":0.6163681,"about_ca_system_score_codex":0.01788703,"about_ca_system_score_gemma":0.0028368337,"threshold_uncertainty_score":0.9992825},"labels":[],"label_agreement":null},{"id":"W4248428443","doi":"10.1016/j.tej.2013.06.011","title":"Now Coal-Free, Is Ontario Ahead of Schedule, or Behind?","year":2013,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coal; Schedule; Economics; Operations management; Engineering; Waste management; Management","score_opus":0.022237108434277737,"score_gpt":0.2734723726245197,"score_spread":0.25123526419024195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248428443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9123772,0.00034931913,0.00015190321,0.059691418,0.00024158567,0.00025855997,0.000022109723,0.000013651491,0.026894247],"genre_scores_gemma":[0.911062,0.0002655362,0.00016160877,0.0047213845,0.0006803037,0.000004244324,1.9496171e-7,0.000009131424,0.08309557],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985755,0.00013901544,0.00023555178,0.00009123352,0.0004938815,0.00046478858],"domain_scores_gemma":[0.99900126,0.00016515038,0.00025500165,0.00021270842,0.00015448063,0.00021137466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00068384095,0.00008775343,0.00015992587,0.00006691394,0.00070800364,0.00012680751,0.0007628333,0.000078859535,0.0030817376],"category_scores_gemma":[0.0003587714,0.000057998415,0.00009879602,0.00028568495,0.00020211382,0.00026993215,0.00003105806,0.0005347216,0.000110962486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050754425,0.00006501235,0.0067541786,0.0000036310294,0.000057062272,0.000009312829,0.02009259,0.000005609291,0.00018140022,0.0061218967,0.9616346,0.0050239502],"study_design_scores_gemma":[0.00096614537,0.0002854017,0.1145098,0.0000541311,0.00005726779,0.00013985121,0.0004938329,0.00006173977,0.0028577321,0.038645774,0.84161425,0.00031406755],"about_ca_topic_score_codex":0.6879509,"about_ca_topic_score_gemma":0.90110755,"teacher_disagreement_score":0.21315663,"about_ca_system_score_codex":0.00040305182,"about_ca_system_score_gemma":0.0017751039,"threshold_uncertainty_score":0.99782956},"labels":[],"label_agreement":null},{"id":"W4376105984","doi":"10.1016/j.tej.2023.107267","title":"Walk the line: The paradoxical complexities of US/Canada energy trade","year":2023,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Electricity; Legislation; Renewable energy; International trade; Business; Politics; Energy policy; Emissions trading; Economy; Natural resource economics; Economics; Political science; Greenhouse gas; Engineering; Geography; Law","score_opus":0.018819108488028983,"score_gpt":0.2338932260981594,"score_spread":0.21507411761013043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376105984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72227,0.0044787936,0.00019392239,0.18738735,0.0016218544,0.00019353436,0.000064794534,0.00017806327,0.08361168],"genre_scores_gemma":[0.99248135,0.0007391028,0.0000045843,0.0046711066,0.0011332558,0.000004970908,0.000005339828,0.000017163145,0.00094314996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977243,0.0005482798,0.000407537,0.00011169761,0.0006291786,0.0005790336],"domain_scores_gemma":[0.99848986,0.0007992463,0.00020474296,0.00035447688,0.000052495303,0.00009918768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006731278,0.00018166716,0.00024069393,0.000059698203,0.0009004182,0.00007657143,0.0010906723,0.000074826276,0.00012396288],"category_scores_gemma":[0.00015174248,0.00008154377,0.00018739283,0.0009955068,0.00024624533,0.000054841552,0.00007826047,0.0007000589,0.000009824615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059984755,0.000028506847,0.000016784203,0.0000035749547,0.00013230933,0.00001909543,0.00044177086,0.014828543,0.00030623848,0.89768857,0.07931026,0.007164348],"study_design_scores_gemma":[0.0003204651,0.00010721746,0.003593398,0.000012443615,0.000056646943,0.0004772516,0.00028070327,0.005185219,0.004796562,0.07731167,0.9077012,0.00015722476],"about_ca_topic_score_codex":0.4003188,"about_ca_topic_score_gemma":0.40242374,"teacher_disagreement_score":0.82839096,"about_ca_system_score_codex":0.00009036376,"about_ca_system_score_gemma":0.000407788,"threshold_uncertainty_score":0.69253796},"labels":[],"label_agreement":null},{"id":"W4382929299","doi":"10.1016/j.tej.2023.107288","title":"Impact of multiyear rate plans on power distributor productivity: Evidence from Alberta","year":2023,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Revenue; Economics; Incentive; Attrition; Empirical evidence; Industrial organization; Operations management; Natural resource economics; Microeconomics; Macroeconomics; Finance","score_opus":0.014617434082529647,"score_gpt":0.24963377420410104,"score_spread":0.2350163401215714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382929299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98738563,0.00026905542,0.011180778,0.00022664819,0.00037224538,0.00021732716,0.00003374988,0.00013055452,0.00018400516],"genre_scores_gemma":[0.9993369,0.00021374608,0.000029217397,0.000006238061,0.00017012164,0.0000053872823,0.000008932464,0.00003465475,0.00019481918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985759,0.00021686472,0.00032452817,0.00015658935,0.0003152471,0.00041081762],"domain_scores_gemma":[0.99847794,0.0008715743,0.00014527864,0.00032357138,0.00009655783,0.00008509783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080800493,0.00018267483,0.0002535493,0.00018994228,0.00012548795,0.00006554174,0.00034956678,0.00006950191,0.0000577215],"category_scores_gemma":[0.000880228,0.00012264223,0.00013862623,0.0012251708,0.00002022456,0.0002252118,0.000020652098,0.0005105171,0.00010701739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000504849,0.00016908691,0.04072668,0.000038248076,0.0010615181,0.00005097798,0.0031618823,0.73431057,0.17382976,0.000045371264,0.04176389,0.004337156],"study_design_scores_gemma":[0.0013081058,0.0014428794,0.48077643,0.0005170459,0.00016776944,0.00022095407,0.000036468864,0.436193,0.07759084,0.00053444336,0.00041451768,0.00079755014],"about_ca_topic_score_codex":0.00038335877,"about_ca_topic_score_gemma":0.000045387125,"teacher_disagreement_score":0.44004974,"about_ca_system_score_codex":0.0003034886,"about_ca_system_score_gemma":0.000088801506,"threshold_uncertainty_score":0.50012046},"labels":[],"label_agreement":null},{"id":"W4390296028","doi":"10.1016/j.tej.2023.107352","title":"Congestion unpriced: Inefficiency and gaming in Ontario’s two-schedule electricity market design","year":2023,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Energy Regulator","funders":"","keywords":"Inefficiency; Schedule; Electricity market; Electricity; Payment; Congestion management; Economics; Shadow price; Microeconomics; Business; Industrial organization; Electric power system; Finance; Power (physics); Engineering","score_opus":0.014560178166843896,"score_gpt":0.21082394423008566,"score_spread":0.19626376606324175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390296028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78759557,0.0011492274,0.20703708,0.00020175076,0.0003971745,0.0005137194,6.493776e-7,0.00037936974,0.0027254694],"genre_scores_gemma":[0.9982008,0.0004676766,0.00071831973,0.000037653346,0.00009367365,0.000018722138,0.000002043907,0.000040187555,0.00042095056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787146,0.00033669273,0.00048492057,0.00020839168,0.00037495515,0.00072358595],"domain_scores_gemma":[0.99904096,0.0004563111,0.00012475382,0.00017926029,0.000087094646,0.00011160266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027365675,0.0002375184,0.00027770406,0.00068805594,0.00027090166,0.00015708689,0.00029397005,0.00010797181,0.000046017354],"category_scores_gemma":[0.00026829148,0.0001986136,0.000048214963,0.002614579,0.00002561441,0.00028324427,0.000031363572,0.0011206489,0.00002096725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016039297,0.00010115757,0.016466709,0.000049192702,0.0001394915,0.00013622356,0.0024639294,0.92989814,0.01731643,0.00038781855,0.0075339973,0.025346488],"study_design_scores_gemma":[0.0009688032,0.00015605365,0.052525934,0.00005437049,0.000037600334,0.000610666,0.000035191,0.94167995,0.0027522705,0.0006591819,0.00019306717,0.00032692548],"about_ca_topic_score_codex":0.0008799386,"about_ca_topic_score_gemma":0.0025260164,"teacher_disagreement_score":0.21060522,"about_ca_system_score_codex":0.00086460164,"about_ca_system_score_gemma":0.00020148557,"threshold_uncertainty_score":0.80992275},"labels":[],"label_agreement":null},{"id":"W4404515272","doi":"10.1016/j.tej.2024.107447","title":"Is it worthwhile to participate in transactive energy? A decision-making model for empowering residential customers","year":2024,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université du Québec à Trois-Rivières","funders":"Hydro-Québec","keywords":"Transactive memory; Business; Group decision-making; Decision-making models; Environmental economics; Knowledge management; Marketing; Computer science; Psychology; Economics; Social psychology","score_opus":0.021610082086503876,"score_gpt":0.296763006032032,"score_spread":0.2751529239455281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404515272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15427828,0.00054894784,0.84301496,0.0006510603,0.000654112,0.00014528264,0.000004389419,0.00009930089,0.0006036646],"genre_scores_gemma":[0.9976322,0.00020193377,0.0012334995,0.00033317402,0.00027962646,0.000070180075,3.895707e-7,0.000057876812,0.00019111007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848425,0.000031655152,0.00037908743,0.0002088236,0.0003226702,0.00057350984],"domain_scores_gemma":[0.999411,0.00025475206,0.000025810155,0.00017414386,0.00003652108,0.00009781483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006575909,0.00018816424,0.00019336354,0.00050474214,0.00015356335,0.00022237447,0.00031676775,0.000054389904,0.00005235808],"category_scores_gemma":[0.00004279728,0.00015525798,0.00015016354,0.00083290174,0.000011319884,0.00022991833,0.000028945802,0.00038451777,0.000013978045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009567063,0.000011021223,0.000008269853,0.000014674917,0.00011862566,0.000033855536,0.0029604924,0.9611528,0.000612893,0.00023077695,0.009739266,0.025021663],"study_design_scores_gemma":[0.00020217871,0.00003822049,0.00008828167,0.00020181622,0.00005370667,0.000026822609,0.00009250327,0.990545,0.0020337768,0.0028816268,0.0036414785,0.00019460541],"about_ca_topic_score_codex":0.000020129019,"about_ca_topic_score_gemma":0.00028849917,"teacher_disagreement_score":0.8433539,"about_ca_system_score_codex":0.0003796213,"about_ca_system_score_gemma":0.00005471393,"threshold_uncertainty_score":0.6331237},"labels":[],"label_agreement":null},{"id":"W4412651215","doi":"10.1016/j.tej.2025.107484","title":"Electricity market design with increasing renewable generation: Lessons from Alberta","year":2025,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Electric Power System Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SGS (Canada); University of Calgary; University of Alberta","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Canada First Research Excellence Fund; University of Alberta","keywords":"Renewable energy; Electricity market; Electricity generation; Electricity; Electricity retailing; Natural resource economics; Business; Environmental economics; Industrial organization; Economics; Engineering; Power (physics); Electrical engineering","score_opus":0.012836858397250968,"score_gpt":0.21637187137447442,"score_spread":0.20353501297722346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412651215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029784586,0.0028211453,0.9507341,0.00097004493,0.00034917195,0.00034945618,0.0000021348856,0.0001742112,0.014815167],"genre_scores_gemma":[0.9895933,0.00065956166,0.0068362895,0.00023058812,0.00045600528,0.00002303109,0.000007918493,0.000051391453,0.0021419043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977371,0.00063493615,0.00044568256,0.00023638837,0.00036080243,0.00058510207],"domain_scores_gemma":[0.998392,0.0008228285,0.00014495887,0.00036092993,0.00017683546,0.00010246869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012923,0.00028576382,0.00032426533,0.0003167623,0.0006537886,0.00034634248,0.00047972277,0.00013577886,0.0001015679],"category_scores_gemma":[0.0002715743,0.00020816363,0.00007160307,0.0019137028,0.000026631495,0.00029914288,0.000022939403,0.0006888261,0.000009656016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044971972,0.00010313617,0.0013939908,0.000025116144,0.00097449805,0.000033238073,0.00037164267,0.77273697,0.042692017,0.0004558778,0.16950282,0.011260982],"study_design_scores_gemma":[0.0009044864,0.00012853675,0.00093205675,0.00009814005,0.0002235526,0.0004293163,0.000014541655,0.93705064,0.056193095,0.0011743004,0.0024594616,0.00039185508],"about_ca_topic_score_codex":0.0012011242,"about_ca_topic_score_gemma":0.0005318341,"teacher_disagreement_score":0.9598087,"about_ca_system_score_codex":0.0005517367,"about_ca_system_score_gemma":0.0003294814,"threshold_uncertainty_score":0.8488667},"labels":[],"label_agreement":null},{"id":"W4413293409","doi":"10.1016/j.tej.2025.107496","title":"Does energy policy scholarship consider energy resilience? A bibliometric analysis and agenda for reform","year":2025,"lang":"en","type":"article","venue":"The Electricity Journal","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scholarship; Resilience (materials science); Energy (signal processing); Political science; Energy policy; Environmental economics; Public economics; Economic system; Economics; Regional science; Public administration; Sociology; Economic growth; Renewable energy; Engineering; Physics; Electrical engineering","score_opus":0.016372723667266057,"score_gpt":0.3042743000794386,"score_spread":0.28790157641217257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413293409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.525042,0.03493982,0.0804242,0.084018715,0.0025511628,0.0005747438,0.00018827018,0.0006229915,0.2716381],"genre_scores_gemma":[0.9817653,0.004430129,0.0002499478,0.00677653,0.0006330556,0.000020793783,0.000008854586,0.000019086674,0.0060963337],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99741524,0.00037561235,0.00056752487,0.00035258773,0.00042596858,0.00086306955],"domain_scores_gemma":[0.998027,0.0006419219,0.00028844297,0.0004379049,0.00037124797,0.00023347886],"candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0010912364,0.00030194747,0.0004943365,0.041801102,0.0011198748,0.00047429604,0.0006669524,0.00022752897,0.000061971405],"category_scores_gemma":[0.001186909,0.00016498537,0.00039333853,0.11997597,0.00018319832,0.00033813546,0.00013062326,0.00046304337,0.0000017880108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015981284,0.00006343709,0.00041112147,0.00000995357,0.0010775228,0.000009828604,0.00008253467,0.0005747894,0.0006979964,0.90418977,0.0020118982,0.09071135],"study_design_scores_gemma":[0.001255128,0.00019384471,0.011763141,0.000030922165,0.0009445323,0.00016971579,0.00009198962,0.0013678794,0.020349495,0.38542235,0.5779854,0.00042560132],"about_ca_topic_score_codex":0.035649773,"about_ca_topic_score_gemma":0.016445987,"teacher_disagreement_score":0.5759735,"about_ca_system_score_codex":0.0004330443,"about_ca_system_score_gemma":0.0005091852,"threshold_uncertainty_score":0.9707719},"labels":[],"label_agreement":null}]}