{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":355,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":355,"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"},"query_hash":"69127cce2439","filters":{"venue":"Energy and Buildings"}},"results":[{"id":"W1144579682","doi":"10.1016/j.enbuild.2015.08.032","title":"Occupant behavior modeling for building performance simulation: Current state and future challenges","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":868,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"U.S. Department of Energy","keywords":"Process (computing); Model building; Computer science; Systems engineering; Risk analysis (engineering); Engineering; Architectural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03510479570609749,"gpt":0.2519045812973599,"spread":0.2167997855912624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001358862,0.0001703881,0.0001493276,0.00008327557,0.0001194423,0.00004607499,0.0000641947,0.00007204606,0.00000154379],"category_scores_gemma":[0.000005047122,0.0001639439,0.00002451581,0.00007123575,0.00001884758,0.0002956114,0.00003326538,0.00007804729,9.880377e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002620713,"about_ca_system_score_gemma":0.00001129612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003829623,"about_ca_topic_score_gemma":0.000004349489,"domain_scores_codex":[0.9993008,0.000007327247,0.0001685079,0.0002102113,0.0001009007,0.000212272],"domain_scores_gemma":[0.9996772,0.00002236552,0.00002907541,0.00009773564,0.00006091759,0.0001127252],"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":[0.00001695546,0.000008049757,0.00006987301,0.00004479675,0.000009249028,3.406388e-7,0.0001656261,0.7640636,0.00004613011,0.003349512,0.0000283473,0.2321975],"study_design_scores_gemma":[0.0003656456,0.00004470232,0.0000589893,0.00004108317,0.0000236695,0.000006289493,0.00003324197,0.9583254,0.0004608813,0.00061065,0.03980767,0.0002217954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7920636,0.01573226,0.1912177,0.00006151097,0.0005813363,0.00007952243,0.000004454792,0.0001678168,0.00009178207],"genre_scores_gemma":[0.9842377,0.008806758,0.006436821,0.00001881358,0.0003729331,0.00005813932,0.00001005454,0.00003066879,0.00002811717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2319757,"threshold_uncertainty_score":0.6685436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014217660","doi":"10.1016/j.enbuild.2006.03.001","title":"Occupant preferences and satisfaction with the luminous environment and control systems in daylit offices: a literature review","year":2006,"lang":"en","type":"review","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":622,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Public Works and Government Services Canada","keywords":"Daylighting; Electric light; Daylight; Architectural engineering; Shading; Control (management); Engineering; Computer science; Human–computer interaction; Artificial intelligence; Computer graphics (images); Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00703191047924169,"gpt":0.1944139765609598,"spread":0.1873820660817181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624226,0.0003303682,0.0007006464,0.00008814701,0.00008260441,0.0001210053,0.00007166871,0.000213104,0.000002138219],"category_scores_gemma":[0.000002728486,0.0001932673,0.00003579675,0.0001483967,0.00005891498,0.0001235116,0.00002358429,0.0002150361,8.267089e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003347472,"about_ca_system_score_gemma":0.00001223293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00021419,"about_ca_topic_score_gemma":0.0001297113,"domain_scores_codex":[0.9990626,0.00007431598,0.0002864583,0.0002930671,0.0001131701,0.0001703974],"domain_scores_gemma":[0.999597,0.00008274541,0.0001207438,0.000149129,0.000008563171,0.00004185993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009690564,0.00001269021,0.0001417819,0.03401624,0.0001819874,0.00001773047,0.00006864416,0.02479865,0.000001226587,0.002177862,0.0005605706,0.9380129],"study_design_scores_gemma":[0.000194878,0.00004234239,0.00005816124,0.03848393,0.0003573615,0.0001736015,0.000005604536,0.001984519,3.327883e-7,0.00001097144,0.9583645,0.0003238033],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002831536,0.9982852,0.0009532966,0.00001537916,0.00005923136,0.0002602502,0.00001576836,0.00004567486,0.00008207267],"genre_scores_gemma":[0.004736085,0.9947321,0.00009726472,0.00003745975,0.00006372207,0.0001754401,0.000053349,0.00002828667,0.00007632062],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9578039,"threshold_uncertainty_score":0.7881213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967379861","doi":"10.1016/j.enbuild.2010.04.006","title":"A decision tree method for building energy demand modeling","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":614,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Categorical variable; Decision tree; Computer science; Data mining; Tree (set theory); Energy consumption; Energy (signal processing); Flowchart; Rank (graph theory); Artificial intelligence; Machine learning; Engineering; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.00621407784484555,"gpt":0.2270800704649438,"spread":0.2208659926200982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722279,0.0002367307,0.0002322011,0.000180163,0.0002286831,0.00008617531,0.0001723722,0.0002534568,0.0000166114],"category_scores_gemma":[0.00003956146,0.0002300302,0.00008838242,0.0001891291,0.00002282145,0.0002491525,0.00005079832,0.000138561,1.172583e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000170486,"about_ca_system_score_gemma":0.00001195973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008761245,"about_ca_topic_score_gemma":0.000218081,"domain_scores_codex":[0.9989465,0.00001186305,0.0002618463,0.0003231654,0.0001269462,0.000329616],"domain_scores_gemma":[0.9994119,0.0001702855,0.00003681241,0.0002053268,0.00005278733,0.000122849],"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":[0.00002400454,0.00001054337,0.00001162324,0.00001149188,0.00002725795,9.274481e-7,0.00002402811,0.697965,0.02480112,0.1443526,0.0003777622,0.1323936],"study_design_scores_gemma":[0.0004113044,0.00002528787,0.000002831182,0.00003125164,0.00002851056,0.00002347168,0.000006143104,0.9102976,0.02563114,0.02289968,0.04036096,0.0002818165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1086046,0.0004261867,0.8893901,0.00003932406,0.0006526636,0.00003360928,0.000002777618,0.000288715,0.0005621051],"genre_scores_gemma":[0.6236956,0.0002222225,0.3754883,0.0001181714,0.0002383924,0.00004789763,0.00001082276,0.00004998677,0.0001286106],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.515091,"threshold_uncertainty_score":0.9380358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015489723","doi":"10.1016/j.enbuild.2011.02.002","title":"A systematic procedure to study the influence of occupant behavior on building energy consumption","year":2011,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":562,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Works and Government Services Canada; Concordia University","funders":"Public Works and Government Services Canada; Concordia University","keywords":"Energy consumption; Normalization (sociology); Cluster analysis; Computer science; Identification (biology); Set (abstract data type); Data pre-processing; Consumption (sociology); Energy (signal processing); Data mining; Engineering; Machine learning; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01502998264803638,"gpt":0.2212878794683879,"spread":0.2062578968203516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001841965,0.0001868521,0.0002361932,0.0001366766,0.0001237112,0.00002330865,0.0002056306,0.00007740589,0.00001295887],"category_scores_gemma":[0.00002534951,0.0001349319,0.00003784731,0.0002133315,0.00003570434,0.0001133531,0.00005033021,0.00007323833,4.92137e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002167647,"about_ca_system_score_gemma":0.000007306611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001311591,"about_ca_topic_score_gemma":0.00003080356,"domain_scores_codex":[0.9990786,0.00003986628,0.0003169826,0.0002086924,0.0001710053,0.0001848254],"domain_scores_gemma":[0.9995108,0.00005404121,0.00007829304,0.0002481026,0.00004237156,0.00006644412],"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":[0.0001643245,0.0005745225,0.009016651,0.00158367,0.0004241264,0.00001992839,0.004477479,0.8187483,0.02057485,0.141438,0.0001408141,0.002837369],"study_design_scores_gemma":[0.005976977,0.005928323,0.2737818,0.0186468,0.003303529,0.0005260513,0.003432367,0.09750532,0.5784883,0.004520124,0.002005193,0.005885182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924919,0.0002283175,0.006741287,0.000005947509,0.00009684552,0.000184488,0.000001712787,0.0001329265,0.0001165786],"genre_scores_gemma":[0.9984508,0.00007653798,0.001015559,0.000108929,0.0000216527,0.0002665082,0.000001157638,0.00002599534,0.0000328998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.721243,"threshold_uncertainty_score":0.5502362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2528767151","doi":"10.1016/j.enbuild.2016.09.067","title":"Three decades of urban heat islands and mitigation technologies research","year":2016,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":529,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Urban heat island; Environmental science; Urban climate; Vegetation (pathology); Urban climatology; Climate change; Meteorology; Urban planning; Environmental planning; Geography; Climatology; Civil engineering; Engineering; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01478608577410043,"gpt":0.2452543919906573,"spread":0.2304683062165569,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002321641,0.00006070742,0.00007391502,0.00006107005,0.00009862208,0.00001207333,0.00007690407,0.00008324942,0.00005838816],"category_scores_gemma":[0.00006287716,0.00003889811,0.00001067403,0.0001468496,0.0005161908,0.0001759689,0.0001305368,0.00004148549,0.000002942912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002670269,"about_ca_system_score_gemma":0.000003422277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002822093,"about_ca_topic_score_gemma":0.0002072789,"domain_scores_codex":[0.9993815,0.00001715581,0.00009581519,0.0001911167,0.0001618057,0.0001526096],"domain_scores_gemma":[0.9997336,0.0001064172,0.00001803935,0.0001037059,0.000009854278,0.00002833692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001842572,0.00001511287,0.4874074,0.000007488713,0.000006073924,0.000001198661,0.0002287222,0.000001245206,0.4092384,0.01696713,0.006148831,0.07996003],"study_design_scores_gemma":[0.0005782988,0.0002491606,0.123005,0.0001227561,0.000008930792,0.00001489378,0.0001827372,0.0001204677,0.7565177,0.07905103,0.03996018,0.0001888768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953668,0.000399353,0.001504003,0.0008664425,0.0000170509,0.00003890089,0.000002641087,0.00003863758,0.001766213],"genre_scores_gemma":[0.9984782,0.0003376214,0.0007767878,0.00001543364,0.00001642198,0.000009778667,9.454935e-7,0.000005004078,0.0003598151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3644024,"threshold_uncertainty_score":0.1901927,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991623060","doi":"10.1016/j.enbuild.2006.06.003","title":"A new contribution to the finite line-source model for geothermal boreholes","year":2006,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":442,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Heat pump; Parameterized complexity; Heat transfer; Superposition principle; Rotational symmetry; Borehole; Heat exchanger; Flexibility (engineering); Geothermal gradient; Computer science; Parametric statistics; Applied mathematics; Mathematical optimization; Mechanics; Mechanical engineering; Mathematics; Engineering; Geology; Physics; Algorithm; Mathematical analysis; Geophysics; Geotechnical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0088392838115429,"gpt":0.2149914899360133,"spread":0.2061522061244704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001249914,0.0001517679,0.0001466125,0.00004439539,0.0002875442,0.00006772607,0.0001564763,0.00009322684,0.00002045017],"category_scores_gemma":[0.00002175423,0.0001089917,0.00007422283,0.0001374473,0.00002627116,0.00006280543,0.00003986394,0.00004470652,0.000006014109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000166104,"about_ca_system_score_gemma":0.00002438688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01362357,"about_ca_topic_score_gemma":0.002803537,"domain_scores_codex":[0.9991487,0.00001601474,0.0002110426,0.0002500018,0.0001000143,0.0002742491],"domain_scores_gemma":[0.9994962,0.00008400658,0.00007149695,0.000199468,0.0000604309,0.00008836802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001848063,0.000009968851,0.00001178276,0.000001805678,0.000007947494,1.323894e-7,0.00004215728,0.5523417,0.002349404,0.4338349,0.002558312,0.008823448],"study_design_scores_gemma":[0.0003377338,0.00002295889,0.00008703192,0.00001235276,0.000013666,0.0000032669,0.000009841804,0.2919147,0.002961961,0.006329358,0.6981789,0.000128248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09061089,0.0003850661,0.9037113,0.003572603,0.00006114755,0.0001383728,0.0000222273,0.0001022801,0.001396174],"genre_scores_gemma":[0.9659006,0.00001070919,0.002852483,0.001238024,0.0007859122,0.0001725958,0.00004197213,0.00003009798,0.02896758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9008588,"threshold_uncertainty_score":0.9929448,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111528621","doi":"10.1016/j.enbuild.2005.02.005","title":"On-line building energy prediction using adaptive artificial neural networks","year":2005,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":327,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Concordia University","funders":"Natural Resources Canada","keywords":"Artificial neural network; Sliding window protocol; Training (meteorology); Variance (accounting); Computer science; Window (computing); Energy (signal processing); Line (geometry); Artificial intelligence; Training set; Machine learning; Engineering; Statistics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01770223546562169,"gpt":0.216357825445661,"spread":0.1986555899800393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001053752,0.000263512,0.000204691,0.0001475156,0.0002270299,0.00006550415,0.00009676935,0.0001696716,0.00002889704],"category_scores_gemma":[0.00001189191,0.0002645287,0.00006776265,0.0002233151,0.00004904183,0.0002697447,0.00004137661,0.0001789255,4.758248e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006910984,"about_ca_system_score_gemma":0.000006487325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009715731,"about_ca_topic_score_gemma":0.00008292872,"domain_scores_codex":[0.998848,0.00002326017,0.0002864924,0.0002842504,0.0001463277,0.0004116807],"domain_scores_gemma":[0.9995854,0.00008290004,0.00005081169,0.0001257854,0.0000262208,0.0001288919],"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":[0.00003080735,0.0000137543,0.00002278584,0.000003076663,0.00003034583,0.000004205278,0.00004062523,0.860337,0.003940811,0.06171133,0.0001847821,0.07368053],"study_design_scores_gemma":[0.0001848515,0.00009230075,0.00001163318,0.00006719484,0.00002211937,0.00003344359,0.00001200411,0.9750742,0.01419506,0.0008967743,0.009151956,0.0002584407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5484329,0.0009441628,0.4472704,0.00004466354,0.0009165394,0.0000227391,0.00000731816,0.0004074942,0.001953815],"genre_scores_gemma":[0.9944615,0.0001176462,0.003151699,0.0001991684,0.001908513,0.000006715313,0.0000128742,0.00005450056,0.00008735914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4460286,"threshold_uncertainty_score":0.9999807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2947489409","doi":"10.1016/j.enbuild.2019.05.057","title":"Surrogate modelling for sustainable building design – A review","year":2019,"lang":"en","type":"review","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":313,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Canarie","keywords":"Architectural engineering; Engineering; Computer science; Environmental science; Construction engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.04368006860993295,"gpt":0.2657979730089721,"spread":0.2221179043990391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000514605,0.0005829656,0.001505865,0.0002469973,0.0001759498,0.0001086422,0.0003001725,0.0004220124,0.00001454127],"category_scores_gemma":[0.00002923118,0.0005339928,0.0003574924,0.0004162079,0.00002674211,0.0002879538,0.00008067755,0.0002198682,0.000001110446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187615,"about_ca_system_score_gemma":0.00008375882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000170106,"about_ca_topic_score_gemma":3.474499e-7,"domain_scores_codex":[0.9981472,0.00005746083,0.0005648432,0.000496865,0.0001394158,0.0005941552],"domain_scores_gemma":[0.9990205,0.0002803657,0.0001703666,0.0003345,0.00008965099,0.0001046436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003073212,0.000006449358,1.24328e-8,0.0707738,0.000144935,0.000004604102,0.000004983807,0.5612951,2.725455e-7,0.03783879,0.003848048,0.32608],"study_design_scores_gemma":[0.0001150959,0.00002631073,5.908861e-10,0.0244622,0.0006478344,0.00002473317,0.000002129722,0.1169614,0.000009644259,0.0006954151,0.8565223,0.0005328829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[1.536081e-7,0.559579,0.439547,0.000004749194,0.0001393378,0.000345491,0.000003644075,0.0001872768,0.0001933755],"genre_scores_gemma":[0.000003563987,0.9673433,0.02952175,0.00008344057,0.0001606318,0.0004486627,0.00009121092,0.0001803674,0.002167045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8526742,"threshold_uncertainty_score":0.9997112,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050949442","doi":"10.1016/j.enbuild.2006.03.002","title":"Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control","year":2006,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":300,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Daylighting; Daylight; Energy (signal processing); Building energy simulation; Control (management); Simulation; Setpoint; Computer science; Efficient energy use; GLARE; Engineering; Architectural engineering; Artificial intelligence; Energy performance","retraction":null,"screen_n_in":null,"score":{"opus":0.006927845337042647,"gpt":0.2283647005361476,"spread":0.2214368551991049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001677054,0.0002865463,0.0003216617,0.0002303622,0.0001628524,0.00006467824,0.0001102882,0.0001286022,0.000005468027],"category_scores_gemma":[0.00001118103,0.0002294831,0.00007175007,0.0003259868,0.00004463803,0.0003413058,0.0000473343,0.0001117166,2.923532e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007372179,"about_ca_system_score_gemma":0.00001269198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001281846,"about_ca_topic_score_gemma":0.0001317584,"domain_scores_codex":[0.9987402,0.00006164763,0.0004037616,0.0002891242,0.0001859818,0.0003192784],"domain_scores_gemma":[0.9994161,0.000213054,0.0001084643,0.000167144,0.00004113764,0.00005411086],"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":[0.00005880685,0.00007883283,0.001447465,0.000004445145,0.00004860436,0.000006554868,0.0001290438,0.9674326,0.005915115,0.02269168,0.00003599137,0.002150875],"study_design_scores_gemma":[0.001081822,0.0001808621,0.004480563,0.000083103,0.00002789221,0.000009029009,0.00008517705,0.9904593,0.002515119,0.000749949,0.00006123065,0.0002659996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698439,0.0004207655,0.02906633,0.00002485077,0.00007458908,0.00006385703,0.000009307019,0.000264302,0.0002321231],"genre_scores_gemma":[0.9993186,0.00001825357,0.0004093816,0.00002302764,0.00006482275,0.00004060648,0.00001475532,0.00004307738,0.00006750174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0294747,"threshold_uncertainty_score":0.9358048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2510963664","doi":"10.1016/j.enbuild.2016.08.008","title":"Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources","year":2016,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":294,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Dalhousie University","funders":"King Saud University","keywords":"Knapsack problem; Computer science; Energy management; Firefly algorithm; Mathematical optimization; Smart grid; Genetic algorithm; Particle swarm optimization; Controller (irrigation); Heuristic; Benchmark (surveying); Renewable energy; Algorithm; Energy (signal processing); Engineering; Mathematics; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.00469863525584784,"gpt":0.1663966068709993,"spread":0.1616979716151514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001715823,0.0004433786,0.0003854563,0.0003626636,0.0002058751,0.0001099309,0.0003111304,0.00009097052,0.00007056587],"category_scores_gemma":[0.00001327367,0.0003259465,0.0000720488,0.0004133977,0.0000855768,0.0001845764,0.0002026263,0.00004455901,0.000005117305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230286,"about_ca_system_score_gemma":0.000008617665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008688281,"about_ca_topic_score_gemma":0.0004226324,"domain_scores_codex":[0.997853,0.00003599823,0.0003542038,0.0006179173,0.0003823669,0.000756556],"domain_scores_gemma":[0.9990767,0.000118967,0.00006627873,0.0003983771,0.0000455201,0.0002941276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001706161,0.000070432,0.0002180483,0.00005832806,0.0006038077,0.000163071,0.0001414654,0.7868508,0.004836902,0.0847469,0.02131286,0.1008267],"study_design_scores_gemma":[0.002334869,0.0002154693,0.000171821,0.000351716,0.0001096096,0.00002342739,0.0002209012,0.02047014,0.03148508,0.000633035,0.9430612,0.0009227754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05398541,0.001099909,0.9160261,0.0003983097,0.0007087544,0.00009839821,0.000008609873,0.0008686562,0.02680581],"genre_scores_gemma":[0.9814126,0.0008500833,0.00475445,0.0006643152,0.0003249543,0.0002026168,0.00000756779,0.0001169693,0.0116664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9274272,"threshold_uncertainty_score":0.9999192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003716960","doi":"10.1016/j.enbuild.2009.08.010","title":"Energy simulation of vertical greenery systems","year":2009,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":270,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Research Council Canada; Building and Construction Authority - Singapore; National University of Singapore","keywords":"Facade; Building envelope; Environmental science; Shading; Thermal comfort; Energy consumption; Solar gain; Cooling load; Thermal; Meteorology; Air conditioning; Civil engineering; Geography; Engineering; Computer science; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006765800813375671,"gpt":0.2008689095487875,"spread":0.1941031087354118,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006096125,0.00006416391,0.00008683677,0.00002235292,0.00004275628,0.00001016973,0.00004716838,0.00005745242,0.00006161731],"category_scores_gemma":[0.000009949912,0.00005586773,0.0000194442,0.0000903585,0.00005194764,0.0001334522,0.00002128626,0.00001996206,0.000002124543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002456681,"about_ca_system_score_gemma":0.000002405641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005891998,"about_ca_topic_score_gemma":0.00002198172,"domain_scores_codex":[0.9994717,0.00001982094,0.000130482,0.0001381853,0.0001318689,0.0001079954],"domain_scores_gemma":[0.999805,0.00003680472,0.00002429049,0.00007903566,0.000005192946,0.00004972093],"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":[0.0001330213,0.0002258266,0.03739662,0.000018583,0.00002713398,0.00001284312,0.0003940198,0.3126898,0.2871876,0.1678634,0.005773221,0.1882779],"study_design_scores_gemma":[0.001282076,0.0007508101,0.1045047,0.0001158976,0.00007140747,0.00003373579,0.00005455206,0.5756564,0.1282907,0.01540019,0.1731237,0.0007158702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736626,0.0001864401,0.02099923,0.00008907903,0.00006764811,0.00001860109,8.514068e-7,0.0000241292,0.004951441],"genre_scores_gemma":[0.9991324,0.00002661928,0.0001291259,0.0001649949,0.0000466149,0.000001538626,0.000003912746,0.000003640819,0.0004911782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2629666,"threshold_uncertainty_score":0.227822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2594434602","doi":"10.1016/j.enbuild.2017.02.058","title":"An ensemble learning framework for anomaly detection in building energy consumption","year":2017,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":251,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anomaly detection; Sliding window protocol; Anomaly (physics); Majority rule; Computer science; Classifier (UML); Data mining; Energy consumption; Voting; Artificial intelligence; Machine learning; Engineering; Window (computing); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01616124286566902,"gpt":0.2885836997072087,"spread":0.2724224568415397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002244292,0.0001162689,0.0001247364,0.0001320853,0.0009190228,0.0003762273,0.0004034035,0.0001480337,0.000003292644],"category_scores_gemma":[0.00004622473,0.00012386,0.00004116588,0.00008052785,0.00005352049,0.000703829,0.0001024179,0.0001086122,4.160663e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003093587,"about_ca_system_score_gemma":0.00001119189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005164793,"about_ca_topic_score_gemma":0.0001093175,"domain_scores_codex":[0.9991196,0.00002778056,0.0001629042,0.0004033344,0.00007615254,0.0002102635],"domain_scores_gemma":[0.9992493,0.00007400089,0.0001750592,0.0003927071,0.00003828828,0.00007062919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009448908,0.00001953301,0.0009528971,0.000004596076,0.000003381024,7.056925e-7,0.00003955403,0.00009305017,0.05965971,0.6282989,0.000006275063,0.3109119],"study_design_scores_gemma":[0.0004181583,0.0003686392,0.00983516,0.00007864866,0.000009967218,0.00003346177,0.00002416856,0.1376472,0.5567805,0.2218325,0.0725062,0.0004653386],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1893222,0.00007447469,0.810064,0.0001468303,0.00007941684,0.00004228249,3.781148e-7,0.0001621463,0.0001082742],"genre_scores_gemma":[0.8476811,0.0001521336,0.1517732,0.00009795451,0.00008978018,0.0001033271,9.926113e-7,0.00000985636,0.00009161558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6583589,"threshold_uncertainty_score":0.7068474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132999186","doi":"10.1016/j.enbuild.2006.03.006","title":"Development and validation of a Radiance model for a translucent panel","year":2006,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":234,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"Kommission für Technologie und Innovation; National Research Council Canada; École Polytechnique Fédérale de Lausanne","keywords":"Radiance; Daylight; Facade; Sky; Mean squared error; Remote sensing; Integrating sphere; Optics; Sky brightness; Environmental science; Meteorology; Statistics; Mathematics; Physics; Engineering; Geology; Structural engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01297375021434127,"gpt":0.1813582892971277,"spread":0.1683845390827864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000445674,0.00007076424,0.00008137913,0.00004059746,0.00004423558,0.000009893469,0.00002574991,0.00004819306,9.839624e-7],"category_scores_gemma":[0.000001201108,0.00007197181,0.00001339758,0.00004672385,0.00001432299,0.00007119984,0.000004556565,0.00001630792,1.088383e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009536361,"about_ca_system_score_gemma":0.000007158144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001495458,"about_ca_topic_score_gemma":0.00001461571,"domain_scores_codex":[0.99966,0.000001895573,0.0001212291,0.00008776492,0.00004086998,0.00008830603],"domain_scores_gemma":[0.9999004,0.00001084478,0.00001906792,0.0000367247,0.00001307421,0.00001988279],"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":[0.000009048646,0.000008888761,0.00003730236,0.00004251765,0.000009729193,1.022041e-7,0.0001445613,0.9428551,0.005860273,0.03815654,0.00009357591,0.01278243],"study_design_scores_gemma":[0.0002739384,0.000007075411,0.00005206386,0.00002442377,0.000008849101,0.000001820491,0.000005514,0.8588103,0.1313405,0.001626924,0.007743293,0.0001052396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4810891,0.0003825575,0.518313,0.00001506049,0.00002332088,0.00002332765,0.000001830201,0.0000373609,0.0001144525],"genre_scores_gemma":[0.9332629,0.0001100925,0.06640119,0.00001528876,0.00001903757,0.0000235588,0.00001736455,0.00001096017,0.0001396403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4521737,"threshold_uncertainty_score":0.2934925,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2792046648","doi":"10.1016/j.enbuild.2018.01.034","title":"Transfer learning with seasonal and trend adjustment for cross-building energy forecasting","year":2018,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":215,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transfer of learning; Time series; Energy (signal processing); Energy consumption; Feature (linguistics); Smart meter; Machine learning; Data mining; Electricity; Building automation; Artificial intelligence; Engineering; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.01035953064858992,"gpt":0.2156853650967058,"spread":0.2053258344481159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001412329,0.0002810174,0.0002316388,0.0001042714,0.0003921647,0.0001143135,0.0000797842,0.0001185647,0.00002378654],"category_scores_gemma":[0.00001414975,0.0002454169,0.0000486769,0.0001517876,0.000156825,0.0003157641,0.00003219748,0.0001063927,1.201725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002581488,"about_ca_system_score_gemma":0.00001048923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000537017,"about_ca_topic_score_gemma":0.0001596326,"domain_scores_codex":[0.9988381,0.00001377055,0.0002037106,0.0003433878,0.0001287708,0.0004722565],"domain_scores_gemma":[0.9995651,0.000129133,0.0000272727,0.00008143869,0.00004290668,0.0001541464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000440346,0.00004252961,0.004911915,0.0002990204,0.0004288279,0.00002342986,0.001602188,0.079919,0.0386669,0.1774063,0.0006772785,0.6955823],"study_design_scores_gemma":[0.002706508,0.0010843,0.0006353598,0.0005299269,0.000122433,0.0002909694,0.0001548566,0.3727735,0.109055,0.001122612,0.510366,0.001158511],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9011492,0.001809995,0.09379099,0.00002845189,0.0003109314,0.00003774388,0.000009156465,0.0002443111,0.002619207],"genre_scores_gemma":[0.9916377,0.0001929864,0.006457425,0.0001071951,0.0008806089,0.00003697448,0.00001767415,0.00007034844,0.0005990674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6944237,"threshold_uncertainty_score":0.9999998,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2954647417","doi":"10.1016/j.enbuild.2019.07.014","title":"Properties of concretes enhanced with phase change materials for building applications","year":2019,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":206,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal energy storage; Building envelope; Materials science; Phase change; Phase-change material; HVAC; Thermal; Building material; Composite material; Process engineering; Mechanical engineering; Air conditioning; Engineering; Engineering physics; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.02838956610340911,"gpt":0.2625095822069279,"spread":0.2341200161035188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001222862,0.000108935,0.0002025644,0.00007451846,0.00003497301,0.00003264293,0.00008990755,0.00004826955,0.00004779282],"category_scores_gemma":[0.000006677274,0.00008590766,0.00001457639,0.00007808924,0.0000460257,0.000140721,0.00002763321,0.00001988951,9.470871e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000172034,"about_ca_system_score_gemma":0.000007609956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003734865,"about_ca_topic_score_gemma":0.000002617813,"domain_scores_codex":[0.9994268,0.00000842989,0.0001323294,0.0001424696,0.00009970029,0.0001902789],"domain_scores_gemma":[0.9997253,0.00002627666,0.00003340735,0.0001184893,0.00005663668,0.00003992827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008727753,0.000009542411,0.000002760141,0.0004014484,0.00002702501,1.440044e-7,0.0001660407,0.00002297252,0.9934343,0.003271812,0.00002160406,0.002555138],"study_design_scores_gemma":[0.0007883504,0.0001289429,0.00000209684,0.0001272946,0.000008891647,0.000001981145,0.00003541834,0.0003760129,0.988552,0.0001025809,0.009756264,0.000120179],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902795,0.0007354098,0.008234443,0.00001883115,0.00006528469,0.0004117727,0.0000505473,0.00007837574,0.0001258489],"genre_scores_gemma":[0.997577,0.0001652815,0.001186234,0.00002028483,0.000135637,0.0008215361,0.0000118566,0.00003017534,0.00005203845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00973466,"threshold_uncertainty_score":0.3503213,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2598576420","doi":"10.1016/j.enbuild.2017.03.052","title":"The impact of the temperature dependent thermal conductivity of insulating materials on the effective building envelope performance","year":2017,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal conductivity; Materials science; Building envelope; Composite material; Thermal insulation; Envelope (radar); Thermal; Conductivity; Engineering; Meteorology","retraction":null,"screen_n_in":null,"score":{"opus":0.008660236712456647,"gpt":0.2178765349657485,"spread":0.2092162982532919,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008122386,0.0002192346,0.0002719275,0.00002413279,0.0008592364,0.0001864,0.0006278659,0.0001005009,0.00002234748],"category_scores_gemma":[0.0002218412,0.00009362804,0.00008386655,0.00004467254,0.0003149916,0.00023005,0.0002276338,0.0001519496,5.015719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004358913,"about_ca_system_score_gemma":0.00001824455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003892665,"about_ca_topic_score_gemma":0.00000539389,"domain_scores_codex":[0.999009,0.0001318187,0.0002661245,0.0001582105,0.0001841906,0.0002506624],"domain_scores_gemma":[0.9988694,0.0002321793,0.0002513813,0.0005677429,0.00005091615,0.00002837858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008851532,0.000008330809,0.00113373,0.00004110153,0.0001066283,3.518912e-7,0.0001900931,0.01186217,0.9805956,0.001379811,0.00002488847,0.004568737],"study_design_scores_gemma":[0.0001850891,0.00008297488,0.05334624,0.0002129789,0.00001219437,0.000004893602,0.00001867117,0.0004279427,0.9453956,0.0001076747,0.00008439604,0.000121327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985934,0.0001586623,0.000006230111,0.00008615563,0.0004023313,0.0002486457,0.00001480203,0.00002916835,0.0004606059],"genre_scores_gemma":[0.9996058,0.00009479911,0.00003820932,0.00001591699,0.000123716,0.00004582145,3.195153e-7,0.00003258473,0.00004286956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05221251,"threshold_uncertainty_score":0.6608639,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3134118759","doi":"10.1016/j.enbuild.2021.110869","title":"Resilient cooling of buildings to protect against heat waves and power outages: Key concepts and definition","year":2021,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":191,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"Université de Liège; Waalse Gewest","keywords":"Architectural engineering; Resilience (materials science); Vulnerability (computing); Robustness (evolution); Timeline; Key (lock); Risk analysis (engineering); Heat wave; Computer science; Vulnerability assessment; Climate change; Environmental resource management; Engineering; Psychological resilience; Environmental science; Computer security; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.008901575167821403,"gpt":0.2198985806303574,"spread":0.210997005462536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001154709,0.0001267894,0.0001779484,0.00002784582,0.0001898671,0.00003434925,0.00004207881,0.00005054864,0.00004779955],"category_scores_gemma":[0.00006316025,0.000109953,0.00002312288,0.0001225298,0.0002103408,0.0001144292,0.0002611356,0.00005275483,0.000001296633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656038,"about_ca_system_score_gemma":0.000004798314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360743,"about_ca_topic_score_gemma":0.00004223201,"domain_scores_codex":[0.99918,0.00002480408,0.0001495107,0.0003274192,0.0001350681,0.0001831679],"domain_scores_gemma":[0.9997311,0.00004769383,0.00003255147,0.00008069627,0.00001266406,0.00009525882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000145606,0.0001292691,0.03351663,0.0001011513,0.00006925983,0.000059215,0.008209535,0.0008634853,0.9049037,0.008633304,0.002366515,0.04100233],"study_design_scores_gemma":[0.002213547,0.0008307233,0.09853182,0.0009932888,0.00007815363,0.0001150788,0.005138141,0.0003348218,0.6261424,0.004079453,0.2602629,0.001279681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956974,0.000949994,0.0004150789,0.0005705856,0.00004221302,0.00006016647,0.000006142364,0.00001607596,0.002242333],"genre_scores_gemma":[0.9950281,0.0006203184,0.003408594,0.0006589534,0.0000229263,0.000009215916,0.000002081371,0.000008363491,0.0002414934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2787613,"threshold_uncertainty_score":0.4483752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000476572","doi":"10.1016/j.enbuild.2011.12.035","title":"Performance prediction of a hybrid solar ground-source heat pump system","year":2011,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":185,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TRNSYS; Coefficient of performance; Heat pump; Thermal energy storage; Borehole; Heat exchanger; Solar energy; Thermal; Environmental science; Nuclear engineering; Engineering; Mechanical engineering; Meteorology; Electrical engineering; Thermodynamics; Geotechnical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01159654986329389,"gpt":0.1753022186623284,"spread":0.1637056687990345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001422236,0.0001504371,0.0002065363,0.00007715939,0.0001677548,0.0000162514,0.0001358077,0.00006618661,0.00006160261],"category_scores_gemma":[0.00000369449,0.0001327972,0.00005866808,0.0001292814,0.00007293965,0.0001824492,0.00004676411,0.00005755224,0.000006186475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000029049,"about_ca_system_score_gemma":0.00001349312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0169318,"about_ca_topic_score_gemma":0.00005569266,"domain_scores_codex":[0.999081,0.00002988165,0.0002988089,0.0002490961,0.0001336097,0.0002075996],"domain_scores_gemma":[0.9995064,0.00001543083,0.00009584334,0.0002448611,0.00005444153,0.00008309836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001746733,0.0002998511,0.01243236,0.0006034947,0.0002948969,0.00001190746,0.001825834,0.02359198,0.06556711,0.8605222,0.0003866878,0.03428898],"study_design_scores_gemma":[0.001567184,0.0005185782,0.0190873,0.0006449122,0.0001632213,0.0006061239,0.001207934,0.1229799,0.3103344,0.000581963,0.5415236,0.0007849166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725314,0.0001743525,0.003418198,0.00001432515,0.0001342106,0.00004366093,0.000007268063,0.0001432632,0.02353327],"genre_scores_gemma":[0.9974619,0.00007497613,0.0002317815,0.00003838159,0.0001378916,0.00005377232,0.00001125615,0.00002620309,0.001963896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8599403,"threshold_uncertainty_score":0.9896145,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319967909","doi":"10.1016/j.enbuild.2023.112851","title":"Digital twin with Machine learning for predictive monitoring of CO2 equivalent from existing buildings","year":2023,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":182,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Dashboard; Retrofitting; Computer science; Engineering; Systems engineering; Data science","retraction":null,"screen_n_in":null,"score":{"opus":0.01999692105007831,"gpt":0.2300050647487981,"spread":0.2100081436987198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007945799,0.000160204,0.0001801161,0.0001142941,0.00008456864,0.00009103561,0.00009622385,0.00008335028,0.000004735667],"category_scores_gemma":[0.00004210961,0.0001516639,0.00004051784,0.0002382711,0.0000503175,0.0005352982,0.00003510337,0.0001291857,0.000001001375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000298541,"about_ca_system_score_gemma":0.000007641595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002152166,"about_ca_topic_score_gemma":6.497466e-7,"domain_scores_codex":[0.9991971,0.000004156952,0.0002292019,0.0001676992,0.0001634414,0.0002384605],"domain_scores_gemma":[0.9995576,0.0002012898,0.00005403535,0.00007308578,0.00004432378,0.00006967569],"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":[0.0002710776,0.00004935148,0.07381074,0.0005422254,0.0005687516,0.00001671059,0.00316456,0.7623375,0.01959831,0.006858652,0.0005649128,0.1322172],"study_design_scores_gemma":[0.005018413,0.001166631,0.007572207,0.002830498,0.0002012464,0.00003828021,0.006463746,0.3268687,0.4765651,0.00426219,0.167029,0.001984062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441849,0.0001872846,0.04725258,0.00001989044,0.0001977369,0.00007981252,0.000127634,0.0005242533,0.007425892],"genre_scores_gemma":[0.9976866,0.00006432351,0.001485967,0.000003213995,0.0001482993,0.00003384822,0.00008099117,0.00004357045,0.0004532298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4569668,"threshold_uncertainty_score":0.6184674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W580067283","doi":"10.1016/j.enbuild.2015.06.016","title":"Heat and cold storage using phase change materials in domestic refrigeration systems: The state-of-the-art review","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":173,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Public Works and Government Services Canada; Concordia University","funders":"Concordia University","keywords":"Refrigeration; Condenser (optics); Thermal energy storage; Phase change; Cold storage; Evaporator; Energy storage; Process engineering; Engineering; Phase-change material; Refrigerator car; Environmental science; Mechanical engineering; Engineering physics; Thermodynamics; Gas compressor","retraction":null,"screen_n_in":null,"score":{"opus":0.06563711783490968,"gpt":0.3124104372241823,"spread":0.2467733193892726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006473485,0.0001002732,0.0002124826,0.00005488995,0.00004164013,0.00006060763,0.00008028081,0.00003410988,0.00000746753],"category_scores_gemma":[0.00004469006,0.00006496044,0.000009838787,0.0001509684,0.00004488389,0.0001515055,0.00005805397,0.00004169937,5.534143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005733616,"about_ca_system_score_gemma":0.00001330753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003920311,"about_ca_topic_score_gemma":0.00003357227,"domain_scores_codex":[0.9992803,0.0001162513,0.000207281,0.0001053045,0.0001359038,0.0001549575],"domain_scores_gemma":[0.9997202,0.00003425653,0.00002460831,0.0001365798,0.00003303697,0.00005127823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002873169,0.00002057485,0.00001051427,0.001528505,0.00001515869,0.00001613236,0.0005543148,0.0009574975,0.9945595,0.0003321713,0.001090213,0.0008867255],"study_design_scores_gemma":[0.003776581,0.0002719941,0.0001068209,0.01108715,0.0001026081,0.0002893506,0.0001582155,0.04820753,0.8103229,0.0004033594,0.1245025,0.0007709468],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712999,0.02766082,0.0002129814,0.0000987599,0.0003924691,0.0002612816,0.000024958,0.00002086147,0.00002789151],"genre_scores_gemma":[0.9944883,0.005185173,0.00003024043,0.00006996249,0.00009265244,0.00006633849,0.0000052202,0.00001694378,0.00004518014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1842365,"threshold_uncertainty_score":0.264901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076049708","doi":"10.1016/j.enbuild.2014.07.055","title":"Comfort and energy savings with active green roofs","year":2014,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"U.S. Army Corps of Engineers","keywords":"Roof; Green roof; Plenum space; Thermal insulation; Environmental science; Cooling load; Reflective surfaces; Engineering; Architectural engineering; Civil engineering; Air conditioning; Mechanical engineering; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.002732537880271761,"gpt":0.1591160501542628,"spread":0.1563835122739911,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006623223,0.0001036924,0.00009723519,0.00002123816,0.000124895,0.00002226533,0.00005727612,0.00005182928,0.0001020631],"category_scores_gemma":[0.000005282476,0.00007986179,0.00001103332,0.0000740866,0.0001594664,0.0002124732,0.00007897339,0.00003923657,0.000001959556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527395,"about_ca_system_score_gemma":0.000002596459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196588,"about_ca_topic_score_gemma":0.00148353,"domain_scores_codex":[0.9993998,0.00001837547,0.00007104781,0.0002373543,0.000117815,0.0001555546],"domain_scores_gemma":[0.9997498,0.00003533797,0.00003687792,0.00008726055,0.000003586245,0.00008713925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001669366,0.00007099647,0.1827995,0.00001248177,0.00004896469,0.00001013344,0.001349613,0.0002305886,0.02864678,0.08454518,0.004902776,0.697216],"study_design_scores_gemma":[0.001046626,0.0004969721,0.156339,0.00004768773,0.00004181962,0.00009367864,0.00007536096,0.001918541,0.03876791,0.00888926,0.7917458,0.0005372857],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979574,0.00003861686,0.003980379,0.000232644,0.00002216978,0.00001584545,0.000001438499,0.00003125807,0.01610364],"genre_scores_gemma":[0.9944165,0.00003733931,0.0007341676,0.0006163663,0.0000457911,0.0000078473,0.00000510691,0.00001029508,0.004126586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7868431,"threshold_uncertainty_score":0.6344014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2907449123","doi":"10.1016/j.enbuild.2018.12.016","title":"Experimental investigation of latent heat thermal energy storage using PCMs with different melting temperatures for building retrofit","year":2019,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Latent heat; Thermal energy storage; Phase-change material; Materials science; Thermal comfort; Thermal; Environmental science; Context (archaeology); Composite material; Meteorology; Thermodynamics","retraction":null,"screen_n_in":null,"score":{"opus":0.02060264084842263,"gpt":0.2442237062147637,"spread":0.2236210653663411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001031564,0.0001857782,0.0002451781,0.0001203955,0.00007484651,0.00005736393,0.00009219952,0.00007753166,0.00002776741],"category_scores_gemma":[0.0000050628,0.0001480728,0.00003636609,0.00009250312,0.00004708651,0.000168648,0.00005518851,0.00005712364,7.907007e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008147986,"about_ca_system_score_gemma":0.00001056768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544546,"about_ca_topic_score_gemma":0.000005429856,"domain_scores_codex":[0.9991369,0.00002658079,0.0001790984,0.0002110152,0.0001769602,0.0002694944],"domain_scores_gemma":[0.9996821,0.00004601486,0.00003640533,0.0001228371,0.00003519761,0.00007739375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000739536,0.000009301315,0.0008869632,0.00009761873,0.00004383527,0.000001909867,0.0002651472,0.008437128,0.9883224,0.00171441,0.00001477879,0.0001324899],"study_design_scores_gemma":[0.0005692487,0.0001379286,0.0002768569,0.0001629174,0.000009714531,0.000007505799,0.00005952243,0.04273639,0.9557008,0.00004254833,0.0001196561,0.000176977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961914,0.0008469656,0.002568038,0.00001263452,0.0001778904,0.00009711193,0.00001021313,0.00006421054,0.00003157252],"genre_scores_gemma":[0.9981889,0.00002281132,0.001499021,0.00002560028,0.0001340135,0.00002806735,0.00001719207,0.00004819729,0.00003620987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03429926,"threshold_uncertainty_score":0.6038232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3186885181","doi":"10.1016/j.enbuild.2021.111312","title":"Resilient cooling strategies – A critical review and qualitative assessment","year":2021,"lang":"en","type":"review","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":167,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke; Concordia University","funders":"Energiteknologisk udviklings- og demonstrationsprogram; U.S. Department of Energy","keywords":"Resilience (materials science); Passive cooling; Building envelope; Architectural engineering; Environmental science; Computer science; Risk analysis (engineering); Reliability engineering; Engineering; Meteorology; Thermal; Business; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.03542427567520216,"gpt":0.3668045971334726,"spread":0.3313803214582704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002907831,0.0003633534,0.001142759,0.00009591445,0.0001191724,0.000137173,0.00009749857,0.0002378838,0.00004040535],"category_scores_gemma":[0.00004629513,0.0003210106,0.0001210536,0.0002440708,0.00008585561,0.0001807511,0.0000825583,0.0002669778,2.160523e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005028357,"about_ca_system_score_gemma":0.00008938683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001465966,"about_ca_topic_score_gemma":0.000005305521,"domain_scores_codex":[0.9986907,0.0001534107,0.0004246096,0.0003593941,0.0001330285,0.000238849],"domain_scores_gemma":[0.9992971,0.0003066455,0.00006640809,0.0001770478,0.00005187335,0.0001009652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001014515,0.00002308859,9.594373e-8,0.05538679,0.0002938764,0.00002583014,0.0001790924,0.002800407,9.118964e-7,0.4561667,0.002890041,0.4822322],"study_design_scores_gemma":[0.00004899131,0.00002038666,8.996015e-8,0.02980125,0.0006877589,0.00006806443,0.0001261226,0.0006697346,0.000001589002,0.0004560736,0.9677173,0.0004026596],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002471722,0.9817249,0.01686457,0.00004023789,0.0001620846,0.00007693304,0.00001130325,0.0001254794,0.0009920376],"genre_scores_gemma":[0.00005868068,0.9943461,0.005047599,0.0001063759,0.00007512113,0.00009544103,0.00008861591,0.00005094202,0.0001311465],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9648272,"threshold_uncertainty_score":0.9999242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071428820","doi":"10.1016/j.enbuild.2012.03.024","title":"Exergoeconomic, enviroeconomic and sustainability analyses of a novel air cooler","year":2012,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Thermodynamic and Exergetic Analyses of Power and Cooling Systems","field":"Engineering","cited_by":165,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Exergy; Environmental science; Environmental engineering; Energy consumption; Exergy efficiency; Sustainability; Primary energy; Waste management; Engineering; Electricity; Electrical engineering; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.00909865891363311,"gpt":0.231141334777969,"spread":0.2220426758643358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001248351,0.0001284963,0.0002511476,0.00006774952,0.00004148517,0.000009326583,0.00005950112,0.00006934374,0.00002737562],"category_scores_gemma":[0.000006375684,0.0001188997,0.00005382157,0.0000359363,0.00008735289,0.0001468551,0.00003186456,0.00004187056,6.46661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003066686,"about_ca_system_score_gemma":0.000007582718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004073322,"about_ca_topic_score_gemma":0.00001017809,"domain_scores_codex":[0.9994216,0.000007905214,0.0002121202,0.0001216925,0.0000285705,0.0002081283],"domain_scores_gemma":[0.999697,0.00003507765,0.00004056381,0.0001178433,0.00001364651,0.0000958829],"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":[0.0004051464,0.0008581926,0.1228585,0.002270193,0.003145439,0.000005100785,0.008825721,0.2403671,0.1791113,0.3308212,0.00412199,0.10721],"study_design_scores_gemma":[0.006729925,0.0003756254,0.1567176,0.0003282371,0.001310468,0.0002151626,0.007096461,0.5358205,0.08280089,0.008670867,0.1955866,0.004347698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623561,0.004329181,0.03217297,0.00002082909,0.0001179895,0.00002541799,0.000005898006,0.00004255597,0.0009290752],"genre_scores_gemma":[0.9991278,0.0003410589,0.0001979952,0.00002288259,0.00007689222,0.000005467086,0.000002973371,0.00001433632,0.0002106162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3221504,"threshold_uncertainty_score":0.4848588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2201233344","doi":"10.1016/j.enbuild.2015.12.010","title":"Energy Forecasting for Event Venues: Big Data and Prediction Accuracy","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"London Hydro; Western University","funders":"","keywords":"Computer science; Context (archaeology); Support vector machine; Predictive modelling; Big data; Energy consumption; Granularity; Event (particle physics); Data mining; Artificial neural network; Machine learning; Engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.05950155995618753,"gpt":0.2427230675325105,"spread":0.1832215075763229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002184274,0.0001478193,0.0001404373,0.00006871404,0.0001053454,0.00005779699,0.0001343182,0.00008728955,0.000001199213],"category_scores_gemma":[0.0001149219,0.0001457846,0.000019827,0.00009042327,0.00003063746,0.0002707523,0.0001206705,0.0000553798,1.417431e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000205026,"about_ca_system_score_gemma":0.00001572968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008349439,"about_ca_topic_score_gemma":0.00005764208,"domain_scores_codex":[0.9992344,0.00001066762,0.0001824912,0.0002457115,0.00009278147,0.0002339806],"domain_scores_gemma":[0.9994785,0.0001187192,0.00004361699,0.0001923967,0.00003078574,0.000135975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004589669,0.00001820823,0.0007701883,0.00009925016,0.00008731346,0.000007457703,0.0006531763,0.01157437,0.001977354,0.006193549,0.01234603,0.9662272],"study_design_scores_gemma":[0.0004702579,0.00006630174,0.0000266144,0.0001055462,0.00002644458,0.00004667597,0.00006558192,0.3359126,0.002458927,0.001743082,0.6589007,0.0001772022],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6082895,0.01584419,0.3671123,0.0001691985,0.003836048,0.0001145789,0.0002917589,0.0006119119,0.003730444],"genre_scores_gemma":[0.9962388,0.0004830956,0.001832311,0.00006295105,0.001013765,0.00002044626,0.0001607554,0.00003563624,0.0001522068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.96605,"threshold_uncertainty_score":0.5944923,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3044300047","doi":"10.1016/j.enbuild.2020.110298","title":"Does telecommuting save energy? A critical review of quantitative studies and their research methods","year":2020,"lang":"en","type":"review","venue":"Energy and Buildings","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":162,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommuting; Environmental science; Energy (signal processing); Engineering; Computer science; Statistics; Mechanical engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.2738748803855586,"gpt":0.5430757613552816,"spread":0.2692008809697229,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005893644,0.0003582749,0.002259719,0.0001714637,0.0006193967,0.00006415907,0.0004324756,0.000288635,0.0000239592],"category_scores_gemma":[0.00808931,0.0001998965,0.0002241693,0.0007855193,0.002061694,0.0001396969,0.0005566946,0.0004947455,5.195679e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009364627,"about_ca_system_score_gemma":0.0002747086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004332458,"about_ca_topic_score_gemma":0.0003419682,"domain_scores_codex":[0.9936234,0.004255969,0.0006220957,0.0006163855,0.0003759681,0.0005061868],"domain_scores_gemma":[0.9858021,0.01310735,0.0002741796,0.0002219718,0.000421113,0.0001732778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000269581,0.00001166286,0.000002181401,0.03183912,0.0001788113,0.000003872941,0.003772917,5.473499e-9,0.000001469585,0.1804492,0.0008271863,0.7829109],"study_design_scores_gemma":[0.00003078446,0.00006831666,5.845038e-7,0.09664448,0.0001341326,0.000003083678,0.007894998,3.743547e-7,0.000008893734,0.01080887,0.8841812,0.0002242719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002204912,0.9949646,0.0002339101,0.00185441,0.0002107739,0.0001496402,0.00001140641,0.00004259185,0.002530463],"genre_scores_gemma":[0.00002961237,0.9891164,0.009987696,0.0001753597,0.0003185408,0.00009403077,0.000003502868,0.00003304858,0.0002418137],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.883354,"threshold_uncertainty_score":0.9684243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048472532","doi":"10.1016/j.enbuild.2013.03.028","title":"Performance analysis of a membrane liquid desiccant air-conditioning system","year":2013,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":160,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRNSYS; Liquid desiccant; Air conditioning; Engineering; Desiccant; Process engineering; Regenerative heat exchanger; Heat exchanger; Simulation; Environmental science; Materials science; Mechanical engineering; Energy (signal processing); Composite material; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.00390441402543118,"gpt":0.1668638039330346,"spread":0.1629593899076034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007179536,0.00008899882,0.0002096247,0.0001867978,0.00005037412,0.00001432248,0.00005784078,0.00005208238,0.0000575927],"category_scores_gemma":[0.000002673016,0.00008123215,0.00005414785,0.0003308815,0.00002125914,0.0001304194,0.00001104511,0.00003578068,0.000004768798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002148557,"about_ca_system_score_gemma":0.000003924808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002067052,"about_ca_topic_score_gemma":0.000007623352,"domain_scores_codex":[0.9994861,0.00001034745,0.0001971244,0.00009933786,0.00008436925,0.0001226474],"domain_scores_gemma":[0.9997532,0.00001910667,0.00004355259,0.00009834301,0.00003668394,0.00004915604],"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":[0.00003486111,0.00002847591,0.003542017,0.000922824,0.001941381,0.000004323394,0.001031857,0.6837125,0.2639875,0.038773,0.0008126201,0.005208697],"study_design_scores_gemma":[0.0002493072,0.00006834634,0.004204929,0.0002245999,0.0003096928,0.00001722541,0.0003380425,0.8913501,0.09981381,0.000006624114,0.003134661,0.0002826594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902138,0.0002078482,0.007152406,0.00000969979,0.00009381088,0.00002724066,0.00000219279,0.0001486275,0.002144337],"genre_scores_gemma":[0.9994214,0.00006694294,0.0001805272,0.00002169483,0.00004164638,0.00002264225,0.000008059207,0.00001095542,0.0002261043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2076376,"threshold_uncertainty_score":0.3312551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032589491","doi":"10.1016/j.enbuild.2015.02.045","title":"Black-box modeling of residential HVAC system and comparison of gray-box and black-box modeling methods","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"HVAC; Black box; Autoregressive model; Engineering; Air conditioning; MATLAB; Automotive engineering; Computer science; Artificial intelligence; Mechanical engineering; Mathematics; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.02461076220891893,"gpt":0.2724561363346467,"spread":0.2478453741257278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004830938,0.000234038,0.0004929593,0.0001942578,0.00007931922,0.00004321463,0.0001176365,0.0002093054,0.00000190235],"category_scores_gemma":[0.00002480232,0.0002335952,0.0000481909,0.0001927541,0.0001017902,0.000248964,0.0001080017,0.0001329185,7.087041e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002960247,"about_ca_system_score_gemma":0.0000198037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004608734,"about_ca_topic_score_gemma":0.00003588126,"domain_scores_codex":[0.9987061,0.00006624917,0.0005181368,0.0002825576,0.0001957189,0.0002312244],"domain_scores_gemma":[0.9993938,0.00005397046,0.0001134594,0.0001858246,0.0001126863,0.000140268],"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":[0.00004728953,0.0000144422,0.0002520938,0.0002347589,0.00006855775,9.856911e-7,0.0008856188,0.9761021,0.003822006,0.01682461,0.00007093198,0.001676573],"study_design_scores_gemma":[0.0005061859,0.00005481322,0.000003995746,0.0002125085,0.00008080263,0.00001011245,0.0007470553,0.976491,0.0203076,0.001201469,0.0001524859,0.0002320264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4856642,0.002042896,0.5117086,0.00001231697,0.0001063317,0.00003437495,0.000002392006,0.00008404253,0.0003447941],"genre_scores_gemma":[0.9386264,0.0004155812,0.06078093,0.000007865871,0.00007721331,0.000005225341,0.000008741774,0.00003879079,0.0000392246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4529622,"threshold_uncertainty_score":0.9525734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3133535359","doi":"10.1016/j.enbuild.2021.110883","title":"Occupant-density-detection based energy efficient ventilation system: Prevention of infection transmission","year":2021,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":144,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Ventilation (architecture); Transmission (telecommunications); Occupancy; Energy consumption; Computer science; Automotive engineering; Efficient energy use; Real-time computing; Thermal comfort; Mode (computer interface); Simulation; Engineering; Architectural engineering; Telecommunications; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.008355671963566265,"gpt":0.2361226519358519,"spread":0.2277669799722856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022804,0.0001187576,0.0002232316,0.000194125,0.0001530281,0.00001769774,0.00001174426,0.0001493833,0.00004285311],"category_scores_gemma":[0.00002400606,0.0001134836,0.0001516685,0.0002977315,0.00002435474,0.00008504545,0.00001012831,0.00006482526,7.131833e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007078256,"about_ca_system_score_gemma":0.00006204979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002880899,"about_ca_topic_score_gemma":0.00004994121,"domain_scores_codex":[0.9990322,0.00008390441,0.0003039374,0.000248251,0.0002094442,0.0001222814],"domain_scores_gemma":[0.9993771,0.00002720697,0.000168655,0.0001161258,0.0002430936,0.00006780923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00118297,0.0004984353,0.007448853,0.0006228918,0.000112873,0.000017677,0.00007513062,0.005976078,0.7527565,0.009764075,0.00004980131,0.2214947],"study_design_scores_gemma":[0.001757405,0.00031036,0.04656345,0.0004746619,0.0002543425,0.000122566,0.00002060095,0.1368943,0.8023835,0.0000841322,0.01100045,0.0001341993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4885077,0.00014263,0.5106476,0.00003536914,0.0002239604,0.00004367865,6.680902e-7,0.00005915612,0.0003392028],"genre_scores_gemma":[0.9988942,0.00005219596,0.000359028,0.0000492363,0.0001375675,0.00001124623,0.00005655601,0.00001264622,0.0004273069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5103865,"threshold_uncertainty_score":0.4627726,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2086338665","doi":"10.1016/j.enbuild.2014.07.081","title":"Modeling, simulation and feasibility analysis of residential BIPV/T+ASHP system in cold climate—Canada","year":2014,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":142,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"TRNSYS; Photovoltaic system; Heat pump; Electricity; Renewable energy; Environmental science; Building-integrated photovoltaics; Air source heat pumps; Electricity generation; Cost of electricity by source; Automotive engineering; Engineering; Meteorology; Thermal; Mechanical engineering; Electrical engineering; Heat exchanger; Power (physics)","retraction":null,"screen_n_in":null,"score":{"opus":0.01419120649126166,"gpt":0.2371738537677597,"spread":0.222982647276498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004545072,0.0001223691,0.0003642933,0.0001665482,0.00007427239,0.00002289979,0.00007295123,0.00009785809,0.00001379053],"category_scores_gemma":[0.00004580158,0.0001110942,0.00005039816,0.0003685243,0.00002700308,0.00007788715,0.00004545502,0.00004685819,1.386114e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006067774,"about_ca_system_score_gemma":0.00002325287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7444335,"about_ca_topic_score_gemma":0.646197,"domain_scores_codex":[0.998864,0.0001284037,0.0003773124,0.0002717027,0.0001814029,0.0001772048],"domain_scores_gemma":[0.9994453,0.0001244726,0.0001303911,0.0001810844,0.00005069459,0.00006801884],"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":[0.0001002633,0.00001994672,0.06837393,0.0001260504,0.0001601815,0.000002728427,0.0001624626,0.8869268,0.01016316,0.03316836,0.000009288267,0.0007868478],"study_design_scores_gemma":[0.0004120095,0.00002451472,0.006790663,0.000062033,0.0001458945,0.000001298305,0.0001318406,0.9877608,0.002751161,0.0001170121,0.001664364,0.0001384479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965128,0.0002432133,0.002454953,0.000007629178,0.0001011303,0.00004511333,0.000009034322,0.00002302796,0.0006030491],"genre_scores_gemma":[0.9997588,0.00001666584,0.00004850638,0.0000349901,0.00005667937,0.000005567596,0.00001212471,0.000009892433,0.00005676499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.100834,"threshold_uncertainty_score":0.4530292,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992378003","doi":"10.1016/j.enbuild.2012.01.004","title":"Evaluation of various turbulence models for the prediction of the airflow and temperature distributions in atria","year":2012,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":140,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Reynolds-averaged Navier–Stokes equations; Turbulence; Computational fluid dynamics; Turbulence modeling; Mechanics; Fluent; Airflow; K-epsilon turbulence model; Solver; Physics; Mathematics; Statistical physics; Meteorology; Thermodynamics; Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.01445175336324273,"gpt":0.2208352753657613,"spread":0.2063835220025186,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243824,0.0000407131,0.00005115355,0.00000622731,0.0001230023,0.000003686834,0.00004587511,0.00002974856,0.000007237028],"category_scores_gemma":[0.00004358084,0.00002164117,0.00001817594,0.00008365894,0.0001173137,0.0001167164,0.0000560681,0.0000285077,3.132345e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001860731,"about_ca_system_score_gemma":0.000004394612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001695037,"about_ca_topic_score_gemma":0.00005550926,"domain_scores_codex":[0.9996122,0.00002658866,0.00007834905,0.00006680737,0.0001419056,0.00007417604],"domain_scores_gemma":[0.999829,0.00005122959,0.00003643811,0.00005887223,0.00001277316,0.00001169777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001289195,0.0004996387,0.3397666,0.00008182935,0.0001797706,1.170301e-7,0.0120649,0.291392,0.1313298,0.06592845,0.007162718,0.1514652],"study_design_scores_gemma":[0.001141656,0.00008984259,0.7802828,0.00009435364,0.0002645703,0.000005796166,0.0004204334,0.1669121,0.023356,0.02196693,0.005317287,0.0001482528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969834,0.00122004,0.001121822,0.0003427034,0.00007690278,0.00009851934,0.00002973111,0.000002398537,0.0001245],"genre_scores_gemma":[0.9996492,0.000149103,0.0000999255,0.00001674992,0.00002866049,0.00001845305,0.000001512737,0.000001540343,0.00003483742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4405162,"threshold_uncertainty_score":0.0946047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2102639975","doi":"10.1016/j.enbuild.2010.10.008","title":"Principal component analysis of the electricity consumption in residential dwellings","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":132,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Regression analysis; Air conditioning; Statistics; Principal component analysis; Stepwise regression; Electricity; Logistic regression; Linear regression; Confidence interval; Engineering; Environmental science; Econometrics; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.04337824547660737,"gpt":0.3567838611682022,"spread":0.3134056156915948,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003235803,0.00006695923,0.0001976807,0.00009907472,0.00005244282,0.00000795355,0.00008225325,0.00006016749,0.00002757601],"category_scores_gemma":[0.0002433695,0.00004693073,0.00005644996,0.0002509856,0.0000861908,0.00003503025,0.00004576856,0.0001308641,6.96467e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007696345,"about_ca_system_score_gemma":0.000006785789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001955966,"about_ca_topic_score_gemma":0.0007209322,"domain_scores_codex":[0.9993615,0.00005315217,0.0002121788,0.0001403748,0.000119,0.000113804],"domain_scores_gemma":[0.999287,0.000423839,0.0001059552,0.0001270099,0.00002561757,0.00003054492],"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":[0.00003011788,0.00005285807,0.002744604,0.00001659509,0.00006006776,0.000001082694,0.0001189058,0.0002372646,0.05086404,0.9428502,0.00002393447,0.003000362],"study_design_scores_gemma":[0.0005717865,0.00003924898,0.04422084,0.00003718471,0.0005807721,0.000004544274,0.00001442405,0.0580032,0.07169347,0.8216074,0.002989471,0.0002376592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319633,0.0000168044,0.2678152,0.00007106348,0.00004538434,0.0000268903,0.000003473206,0.000006302366,0.00005155911],"genre_scores_gemma":[0.9267805,0.00003541793,0.07302396,0.00005384516,0.00001597561,0.000003620804,0.000001027712,0.000004487218,0.00008116954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1948172,"threshold_uncertainty_score":0.191378,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999144423","doi":"10.1016/j.enbuild.2020.109761","title":"Evaluating assumptions of scales for subjective assessment of thermal environments – Do laypersons perceive them the way, we researchers believe?","year":2020,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Technology - Iraq; Escuela Politécnica Nacional; Indian Institute of Technology Madras; National Natural Science Foundation of China; Deutscher Akademischer Austauschdienst; Chinese University of Hong Kong; Escuela Superior Politécnica del Litoral; National and Kapodistrian University of Athens; Research Councils UK; Engineering and Physical Sciences Research Council; Ministerie van Defensie; UK Research and Innovation; Universidad Central del Ecuador; National Research Foundation; National Research Foundation of Korea; Universidad de Sevilla; University of Southern California; Heidelberger Akademie der Wissenschaften; McGill University; National Science Foundation","keywords":"Psychology; Scale (ratio); Cognitive psychology; Data science; Applied psychology; Computer science; Geography; Cartography","retraction":null,"screen_n_in":null,"score":{"opus":0.06481286275147154,"gpt":0.3098351554540189,"spread":0.2450222927025473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002349148,0.000104746,0.0001424269,0.00002948279,0.0001279069,0.0000144449,0.0001345599,0.00006768324,0.00003153969],"category_scores_gemma":[0.00003047143,0.00008046097,0.00006210016,0.0001145602,0.0001013822,0.00008895169,0.00004749665,0.00009450025,1.07657e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002639788,"about_ca_system_score_gemma":0.0000138863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002260337,"about_ca_topic_score_gemma":0.000005044951,"domain_scores_codex":[0.9993225,0.00004456882,0.0001611374,0.0001440425,0.0001805409,0.0001471989],"domain_scores_gemma":[0.9995889,0.0001892732,0.00005588923,0.0000951839,0.00002507536,0.00004566756],"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":[0.000032314,0.00002857882,0.00100948,0.00005614031,0.0001493288,2.142782e-7,0.001554436,0.8483798,0.1178901,0.01737226,0.0001131208,0.01341427],"study_design_scores_gemma":[0.0009556232,0.0003418817,0.00794345,0.0001321903,0.0001127823,0.000002635124,0.00175331,0.913302,0.07088971,0.001210769,0.003046061,0.0003095626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504935,0.0004722056,0.04729922,0.0005501637,0.00004878004,0.0001250544,0.00002303335,0.00003601673,0.0009520266],"genre_scores_gemma":[0.9900814,0.0004639925,0.009239643,0.00003661857,0.00004664018,0.00004417558,0.00000877541,0.0000203193,0.00005848672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06492221,"threshold_uncertainty_score":0.3281103,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2091503689","doi":"10.1016/j.enbuild.2010.02.005","title":"Performance testing of a counter-cross-flow run-around membrane energy exchanger (RAMEE) system for HVAC applications","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Desiccant; HVAC; Heat exchanger; Energy recovery ventilation; Environmental science; Air conditioning; Airflow; Volumetric flow rate; Waste management; Environmental engineering; Process engineering; Nuclear engineering; Engineering; Materials science; Mechanical engineering; Mechanics; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.0087932516090763,"gpt":0.212008126277995,"spread":0.2032148746689187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001564082,0.0001509692,0.0002037336,0.00007903286,0.0001329413,0.00004982284,0.0001296343,0.0001297192,0.000007728956],"category_scores_gemma":[0.00001078239,0.000146777,0.00004588121,0.0001565769,0.00005441159,0.000128935,0.00002114468,0.0000785493,0.000001140527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000218069,"about_ca_system_score_gemma":0.00001209465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008669172,"about_ca_topic_score_gemma":0.00003692879,"domain_scores_codex":[0.9992244,0.000005766592,0.0002713376,0.0001840072,0.0001054108,0.0002090352],"domain_scores_gemma":[0.9994816,0.00008966271,0.00008114961,0.0001888517,0.00009000874,0.00006877327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007351091,0.0000809496,0.004429285,0.003388223,0.0001783818,0.000002154851,0.0005610577,0.05724625,0.7753488,0.08397932,0.0007256066,0.0739864],"study_design_scores_gemma":[0.0006372211,0.00005680907,0.0001920458,0.0002228427,0.00003188794,0.00007438223,0.00008669753,0.6954333,0.07807722,0.00009267478,0.2247276,0.0003673867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9053649,0.0003843628,0.08996438,0.00001165455,0.0006064114,0.0001294404,0.00002847403,0.0003614507,0.00314889],"genre_scores_gemma":[0.995809,0.00004669022,0.002611559,0.00002425696,0.0004282044,0.0002251119,0.00001413112,0.00003558793,0.0008055256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6972716,"threshold_uncertainty_score":0.5985392,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033137003","doi":"10.1016/j.enbuild.2020.110192","title":"Intelligent buildings: An overview","year":2020,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Energy consumption; Architectural engineering; Productivity; Building automation; Control (management); Computer science; Environmental quality; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02430214141333579,"gpt":0.2260158296601475,"spread":0.2017136882468117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000589636,0.0001745684,0.0001638559,0.00004853644,0.00008597534,0.00006219112,0.0001498876,0.0001019344,0.00009684956],"category_scores_gemma":[0.000009814074,0.0001737833,0.00004087083,0.0002231618,0.00002928164,0.0002796184,0.00004721048,0.00009659676,0.000001838996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001647558,"about_ca_system_score_gemma":0.000006405477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003221022,"about_ca_topic_score_gemma":0.000006352062,"domain_scores_codex":[0.9992661,0.00001349594,0.0001737764,0.0002354483,0.0001050642,0.0002061079],"domain_scores_gemma":[0.9996261,0.00001531267,0.00002422292,0.0001209842,0.00001920709,0.0001941753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002347184,0.00002765812,0.0002062117,0.00009063294,0.00006568058,0.000009643781,0.0005308441,0.6473945,0.005330155,0.2401692,0.004288861,0.1018631],"study_design_scores_gemma":[0.0002661886,0.0001319441,0.00004892945,0.00005749621,0.00003019044,0.00001650308,0.00006322256,0.3222608,0.0314091,0.001912085,0.6432989,0.0005046828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4692093,0.02247626,0.4973871,0.001564972,0.0008581847,0.000133025,0.00001062309,0.002675596,0.005684948],"genre_scores_gemma":[0.9846094,0.00518381,0.007603566,0.002162991,0.0002742168,0.00001295135,0.00002084943,0.00005030318,0.00008195132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.63901,"threshold_uncertainty_score":0.7086677,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055626613","doi":"10.1016/j.enbuild.2015.02.041","title":"Performance of two-stage variable capacity air source heat pump: Field performance results and TRNSYS simulation","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TRNSYS; Coefficient of performance; Environmental science; Air source heat pumps; Meteorology; Cooling capacity; Heat pump; Simulation; Engineering; Mechanical engineering; Heat exchanger; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01221148052690032,"gpt":0.1975458484949903,"spread":0.18533436796809,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001993054,0.0001310699,0.0001522248,0.00007171081,0.00008478385,0.00001683633,0.00006644337,0.000103576,0.000005273371],"category_scores_gemma":[0.00002269729,0.0001279944,0.00001525086,0.0001534063,0.00003551071,0.0003264063,0.00003462964,0.00008732489,1.506728e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002009447,"about_ca_system_score_gemma":0.00001053927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001972501,"about_ca_topic_score_gemma":0.000009790313,"domain_scores_codex":[0.9993482,0.0000126344,0.0002048086,0.000158046,0.0001126954,0.0001635639],"domain_scores_gemma":[0.9996516,0.00005835568,0.00003767797,0.0001326908,0.00004210128,0.0000775857],"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":[0.00007001794,0.000008293635,0.00164327,0.00005671883,0.00001282153,1.931127e-7,0.0001699238,0.993117,0.0007582486,0.001325273,0.00007858394,0.002759612],"study_design_scores_gemma":[0.0006295199,0.0001127419,0.0001834713,0.00006139374,0.00001101482,0.000004552971,0.00001322643,0.9610107,0.02694602,0.00005023195,0.01082339,0.0001537654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967683,0.000129832,0.02947832,0.00001942679,0.000130117,0.00002850274,0.000003311573,0.0001115709,0.002415907],"genre_scores_gemma":[0.9964337,0.0002028741,0.002667285,0.00006722249,0.00006781429,0.000004899562,0.00001077829,0.00001621658,0.0005292433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03210637,"threshold_uncertainty_score":0.5219458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045035637","doi":"10.1016/j.enbuild.2008.02.017","title":"Modeling ventilated double skin façade—A zonal approach","year":2008,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Politecnico di Torino","keywords":"Airflow; Inlet; Parametric statistics; Flow (mathematics); Computational fluid dynamics; Mechanics; Environmental science; Air temperature; Meteorology; Engineering; Mathematics; Physics; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01185464009764272,"gpt":0.1761467340641074,"spread":0.1642920939664647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050569,0.0001461582,0.0001366575,0.00008768484,0.0001756472,0.00002322297,0.00009242888,0.0001261119,0.00002055744],"category_scores_gemma":[0.000001309782,0.0001477469,0.00004375203,0.0001799845,0.00003068201,0.000179368,0.00002960909,0.00009927565,6.552625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001887661,"about_ca_system_score_gemma":0.000008362173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008117475,"about_ca_topic_score_gemma":0.000004096935,"domain_scores_codex":[0.9993355,0.000005614773,0.0001507239,0.0001843258,0.0001123508,0.0002115419],"domain_scores_gemma":[0.9997848,0.000005753966,0.00001444097,0.0001083653,0.00001992706,0.00006672669],"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":[0.00001577686,0.00001648286,0.00004371639,0.00001023321,0.00002776988,0.000003585002,0.00009732875,0.9855137,0.0005992568,0.01215419,0.0003882215,0.001129751],"study_design_scores_gemma":[0.0003212811,0.00001069544,0.00001358722,0.00001279789,0.000009393086,0.00007210575,0.00001061471,0.988205,0.005208568,0.0002495786,0.005684939,0.0002015061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6963228,0.0008244943,0.2972636,0.00001370364,0.0001825385,0.00002491019,9.866095e-7,0.0003636093,0.005003325],"genre_scores_gemma":[0.9909014,0.0005121703,0.007802412,0.00005073136,0.0001131391,0.00001483693,0.00003286063,0.00003121005,0.000541289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2945785,"threshold_uncertainty_score":0.6024946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025886115","doi":"10.1016/j.enbuild.2010.08.013","title":"Renewable energy options for buildings: Case studies","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Heat pump; Electricity; Photovoltaic system; Renewable heat; Environmental economics; Zero-energy building; Efficient energy use; Environmental science; Process engineering; Architectural engineering; Civil engineering; Engineering; Mechanical engineering; Hybrid heat; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009932469743441476,"gpt":0.2279978680291578,"spread":0.2180653982857163,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001459051,0.0002249548,0.0002228261,0.0001467182,0.0003598337,0.0000661291,0.0001133184,0.000183315,0.00002343935],"category_scores_gemma":[0.00004107201,0.000219776,0.00007141534,0.0002056981,0.00008527365,0.0002545336,0.00005106056,0.0001070318,1.96651e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000021863,"about_ca_system_score_gemma":0.00001180488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003531632,"about_ca_topic_score_gemma":0.001213528,"domain_scores_codex":[0.9990991,0.000008873772,0.0002226237,0.0002733426,0.00008167695,0.0003143282],"domain_scores_gemma":[0.9994487,0.0001134107,0.00004256695,0.0002052902,0.0000835225,0.0001064653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002078101,0.00003558315,0.00003911194,0.00006713453,0.000210823,0.00006137039,0.0001698408,0.6270144,0.02317451,0.3095981,0.0220852,0.01752319],"study_design_scores_gemma":[0.0007963657,0.00009564235,0.000003438581,0.00005576819,0.000108375,0.00140916,0.0001861032,0.1354729,0.07151607,0.01932032,0.7702763,0.0007595037],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4085439,0.006774794,0.575147,0.0003719155,0.003558198,0.0001490299,0.00003534743,0.00152294,0.0038968],"genre_scores_gemma":[0.9509834,0.001652007,0.04405057,0.0002166521,0.0004466212,0.0001647776,0.00002469609,0.00006597352,0.00239532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7481911,"threshold_uncertainty_score":0.8962207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810149872","doi":"10.1016/j.enbuild.2018.06.017","title":"A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction","year":2018,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":118,"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":"China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Artificial neural network; Robustness (evolution); Convergence (economics); Computer science; Energy consumption; Artificial intelligence; Machine learning; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.009812603847818221,"gpt":0.2166988923279172,"spread":0.206886288480099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002770211,0.0002246679,0.000203826,0.0001130933,0.0005888861,0.00009888499,0.00009292819,0.0001226855,0.00002241877],"category_scores_gemma":[0.00006257116,0.0002328726,0.00007512255,0.0001070887,0.00007066859,0.0002033063,0.00003468234,0.0002159635,9.074908e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004364414,"about_ca_system_score_gemma":0.000008318598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005001841,"about_ca_topic_score_gemma":0.00002134109,"domain_scores_codex":[0.9987246,0.00004615404,0.0002861666,0.0003036507,0.0001235095,0.00051591],"domain_scores_gemma":[0.9995329,0.0001587128,0.00006043204,0.00009280676,0.00003886387,0.0001163201],"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":[0.0002597852,0.00003861467,0.002157662,0.00005604357,0.0001549304,0.00000920736,0.0002325244,0.2268038,0.04038782,0.2492706,0.01036999,0.470259],"study_design_scores_gemma":[0.0002675595,0.0002595065,0.000111854,0.000067098,0.0000368717,0.00006090098,0.000004761459,0.7908732,0.02162764,0.003142299,0.1832574,0.0002909231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.673072,0.0006877175,0.3234679,0.00003044979,0.001113335,0.00004131655,0.000006028437,0.0006049967,0.0009761651],"genre_scores_gemma":[0.9909121,0.0001109604,0.005259035,0.0001135833,0.003306199,0.000031379,0.00004216435,0.00005453904,0.0001699781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5640694,"threshold_uncertainty_score":0.9496267,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2038829357","doi":"10.1016/j.enbuild.2012.11.006","title":"An explanation of residential energy-efficiency retrofit behavior in Canada","year":2012,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Energy Efficiency and Management","field":"Energy","cited_by":112,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Mount Allison University","funders":"","keywords":"Audit; Incentive; Upgrade; Business; Incentive program; Government (linguistics); Finance; Energy (signal processing); Environmental economics; Actuarial science; Public economics; Economics; Accounting; Microeconomics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.00782972395094341,"gpt":0.218992191647406,"spread":0.2111624676964626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002492034,0.0001550286,0.0001896098,0.0002021757,0.00008605691,0.00001492786,0.0001948316,0.00007666027,0.0001167256],"category_scores_gemma":[0.00002012625,0.000152104,0.00003114395,0.0003085012,0.00004515964,0.0003423785,0.00005861288,0.00006027873,3.192368e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529921,"about_ca_system_score_gemma":0.0001037223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9330815,"about_ca_topic_score_gemma":0.8865478,"domain_scores_codex":[0.9986475,0.00007206417,0.0003346786,0.0002456846,0.0003060985,0.000394033],"domain_scores_gemma":[0.9994618,0.00003813063,0.0001200049,0.0002221649,0.00003346052,0.0001244096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000591908,0.000303317,0.02487179,0.00001822938,0.00001634561,0.00001984297,0.0002857005,0.007644573,0.01352471,0.9219841,0.0006696087,0.03060258],"study_design_scores_gemma":[0.003156865,0.0006818013,0.2914528,0.0001795048,0.0002314305,0.000048709,0.002803783,0.008699621,0.4157999,0.00271195,0.2721231,0.002110569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990423,0.0005758484,0.001766204,0.00004977572,0.0004353062,0.00002775579,0.000003187192,0.00002688662,0.006692088],"genre_scores_gemma":[0.9988056,0.0001260427,0.0002503392,0.0001811476,0.0001195848,0.0000286444,0.00002471689,0.00001638246,0.0004475009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9192722,"threshold_uncertainty_score":0.620262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2045883805","doi":"10.1016/j.enbuild.2010.03.020","title":"Energy performance assessment of double-skin façade with thermal mass","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Overheating (electricity); Thermal mass; Thermal; Thermal comfort; Airflow; Environmental science; Efficient energy use; Parametric statistics; Simulation; Energy (signal processing); Engineering; Nuclear engineering; Automotive engineering; Mechanical engineering; Meteorology; Physics; Electrical engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0033386032356006,"gpt":0.1811060086112518,"spread":0.1777674053756512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007071656,0.0001511959,0.000149635,0.00008075974,0.00007254218,0.00002378003,0.0001177315,0.0001141958,0.00004799602],"category_scores_gemma":[5.466897e-7,0.000124692,0.0000260493,0.000148721,0.00005988261,0.000189463,0.0000218256,0.0001269292,7.286604e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009786731,"about_ca_system_score_gemma":0.00001681116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007585692,"about_ca_topic_score_gemma":0.00004866055,"domain_scores_codex":[0.9993808,0.00000549929,0.0001478585,0.0001496243,0.0001313162,0.0001848531],"domain_scores_gemma":[0.9996952,0.00001568234,0.00004423031,0.0001593869,0.00002930834,0.0000562182],"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":[0.00004642194,0.00002614938,0.003047629,0.00003934356,0.00007004041,0.000002331859,0.00004815445,0.7565764,0.1036109,0.1167746,0.00007499299,0.01968304],"study_design_scores_gemma":[0.00148333,0.0001723947,0.003961846,0.00007604725,0.00004363857,0.00002967312,0.00002036611,0.5230267,0.431745,0.0002091764,0.03867841,0.0005534379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9293494,0.0000742425,0.06114209,0.0000250615,0.0002027044,0.00001730698,0.000001185904,0.0001221803,0.009065794],"genre_scores_gemma":[0.9873771,0.0001703123,0.01197021,0.0000388445,0.00008850342,0.00001837502,0.00001056248,0.00002886491,0.0002972279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3281341,"threshold_uncertainty_score":0.5084791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2943436312","doi":"10.1016/j.enbuild.2019.04.042","title":"Development of RC model for thermal dynamic analysis of buildings through model structure simplification","year":2019,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":106,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Identifiability; Process (computing); Thermal; Computer science; Energy (signal processing); Resistor; RC circuit; Experimental data; Simple (philosophy); Engineering; Algorithm; Capacitor; Mathematics; Statistics; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.007740708006076351,"gpt":0.2113968143571362,"spread":0.2036561063510598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007550381,0.0001537866,0.000294076,0.0001725895,0.00005119586,0.00001012446,0.0001324661,0.0001389079,0.00001109469],"category_scores_gemma":[0.000003845696,0.0001477454,0.00008418941,0.0003317414,0.00002440778,0.0001755148,0.00002855915,0.00004788629,3.27913e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000320123,"about_ca_system_score_gemma":0.00002534657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009190852,"about_ca_topic_score_gemma":0.00002437286,"domain_scores_codex":[0.9991908,0.000004122118,0.0003225837,0.0002024836,0.0001217237,0.0001582742],"domain_scores_gemma":[0.9995944,0.0000242488,0.0001135465,0.0001748392,0.00006590609,0.00002706149],"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":[0.00001848836,0.00001022613,0.00006324241,0.00005456421,0.0002639535,1.482019e-8,0.0005756415,0.8185886,0.1546389,0.02268744,0.000008498418,0.003090408],"study_design_scores_gemma":[0.0001975049,0.000009194491,0.00006998191,0.00001864679,0.0001543179,2.244469e-7,0.00002215032,0.9319977,0.06577586,0.001412826,0.0001866706,0.0001548839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5184294,0.0000793705,0.4813167,0.000005158844,0.00002491311,0.00003601193,0.00001463771,0.00003144606,0.00006233576],"genre_scores_gemma":[0.8393082,0.00004895913,0.1604041,0.0000223099,0.000005512203,0.00001133916,0.00008788441,0.00002200802,0.00008964168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3209126,"threshold_uncertainty_score":0.6024881,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984319769","doi":"10.1016/j.enbuild.2010.04.013","title":"Heat loss characteristics for a typical solar domestic hot water storage","year":2010,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":105,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal energy storage; Thermal conduction; Thermal; Thermal diffusivity; Mechanics; Context (archaeology); Storage tank; Environmental science; Thermodynamics; Materials science; Engineering; Mechanical engineering; Physics; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.007764833836647288,"gpt":0.2204718128154515,"spread":0.2127069789788043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008161,0.0001906619,0.0002583806,0.00005012136,0.0001977137,0.00007004954,0.0001322608,0.0002117708,0.0002905303],"category_scores_gemma":[0.00004874371,0.0001325164,0.00008250945,0.00004751049,0.00008839262,0.00009003874,0.00005470262,0.0001554568,0.000019232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001099766,"about_ca_system_score_gemma":0.00001187069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006207216,"about_ca_topic_score_gemma":0.0001169872,"domain_scores_codex":[0.9989994,0.00002784799,0.0002180541,0.0002839442,0.0001083687,0.000362361],"domain_scores_gemma":[0.9994856,0.0001048004,0.00002961776,0.0001797048,0.00005159868,0.0001486702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004687635,0.00007568876,0.001150812,0.00006476387,0.00006830484,0.0000427384,0.0004025555,0.00001452501,0.9602769,0.02629342,0.0005660987,0.01057541],"study_design_scores_gemma":[0.0007823246,0.0001260623,0.001573166,0.00002792664,0.00003914376,0.0001885188,0.0000201686,0.001475755,0.1339908,0.002112454,0.8593127,0.0003509597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947853,0.00006403503,0.003071709,0.0001338378,0.001347509,0.00007475917,0.0000174734,0.00008404422,0.0004213196],"genre_scores_gemma":[0.9960482,0.00001679602,0.0003047845,0.0004010706,0.0009755823,0.00005548438,0.00005095841,0.00003734443,0.002109792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8587466,"threshold_uncertainty_score":0.540386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011575864","doi":"10.1016/j.enbuild.2013.02.049","title":"Data association mining for identifying lighting energy waste patterns in educational institutes","year":2013,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Color perception and design","field":"Psychology","cited_by":104,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Canada School of Energy and Environment","keywords":"Occupancy; Energy consumption; Association rule learning; Energy (signal processing); Association (psychology); Consumption (sociology); Environmental economics; Engineering; Computer science; Environmental science; Architectural engineering; Data mining; Statistics; Mathematics; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.06822525871263105,"gpt":0.3363861951740009,"spread":0.2681609364613698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000271099,0.00009532072,0.0001178704,0.00014044,0.0001233124,0.00009986805,0.000164456,0.000107133,0.0008100215],"category_scores_gemma":[0.0001044722,0.00009797025,0.00002378292,0.0001059809,0.00001278503,0.0003758696,0.00008101564,0.00004789924,0.000009566392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000557737,"about_ca_system_score_gemma":0.00002353098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169616,"about_ca_topic_score_gemma":0.001070024,"domain_scores_codex":[0.9990953,0.00004507412,0.0002246052,0.0003230904,0.00009275704,0.000219217],"domain_scores_gemma":[0.9993238,0.0002916189,0.0001180155,0.0001717296,0.00004623025,0.00004859493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009279395,0.000448921,0.2172136,0.0000731324,0.0002138444,0.000005556819,0.007824647,0.0001013713,0.02444348,0.2959918,0.2184929,0.2350979],"study_design_scores_gemma":[0.004415613,0.0002069766,0.3282284,0.0004340536,0.00009773968,0.00003927277,0.009355216,0.01156531,0.002313277,0.01737212,0.624586,0.001386012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751226,0.000240112,0.019016,0.001699141,0.0008968017,0.00007530148,0.00002411101,0.00003361008,0.002892304],"genre_scores_gemma":[0.9887254,0.00003877972,0.002045488,0.0007890406,0.0004773165,0.0001259114,0.0001781674,0.0000126185,0.00760724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4060932,"threshold_uncertainty_score":0.8869168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031905120","doi":"10.1016/j.enbuild.2014.11.018","title":"CFD analyses for passive house with Trombe wall and impact to energy demand","year":2014,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Solar Energy Systems and Technologies","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Research Council Canada","keywords":"Overheating (electricity); Daylight; Marine engineering; Building envelope; Engineering; Computational fluid dynamics; Core (optical fiber); Environmental science; Structural engineering; Meteorology; Thermal; Aerospace engineering; Geography; Electrical engineering; Telecommunications; Optics","retraction":null,"screen_n_in":null,"score":{"opus":0.009141743529487201,"gpt":0.2322089898012477,"spread":0.2230672462717605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006087215,0.0002009869,0.0002650193,0.0001446043,0.00008809852,0.00006748096,0.00008597704,0.0001163758,0.000002547502],"category_scores_gemma":[0.00002538657,0.0001415286,0.00004336063,0.0001420551,0.00003861887,0.0001049439,0.00003232266,0.00004056826,2.307749e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001972322,"about_ca_system_score_gemma":0.000005097529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006316057,"about_ca_topic_score_gemma":0.0003550616,"domain_scores_codex":[0.9993071,0.0000103773,0.0001284919,0.0002270379,0.00007208203,0.0002548881],"domain_scores_gemma":[0.9995901,0.00008437067,0.00003120576,0.0001588515,0.00002949936,0.0001059566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004802853,0.0001180016,0.00977811,0.0003491348,0.002325376,0.00003796177,0.001076709,0.2003133,0.154471,0.2733037,0.02224999,0.3354965],"study_design_scores_gemma":[0.002991705,0.002533217,0.006758331,0.0003129873,0.0002732539,0.0001534539,0.0003106487,0.07056208,0.2822687,0.006996907,0.625025,0.001813793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8833396,0.0009214412,0.114808,0.0001053824,0.000054386,0.00004077044,0.000004230596,0.0004750235,0.0002511478],"genre_scores_gemma":[0.9966613,0.0001937709,0.002697608,0.00009971551,0.00007930976,0.00005528516,0.000003140466,0.00004714309,0.0001627138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.602775,"threshold_uncertainty_score":0.5771367,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014674135","doi":"10.1016/j.enbuild.2008.10.002","title":"Energy performance optimization of radiant slab cooling using building simulation and field measurements","year":2008,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":103,"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":"Federal Energy Management Program; U.S. Department of Energy","keywords":"Radiant cooling; Cooling tower; Passive cooling; Free cooling; HVAC; Variable air volume; Building energy simulation; Environmental science; Building envelope; Thermal comfort; Meteorology; Engineering; Mechanical engineering; Efficient energy use; Water cooling; Air conditioning; Thermal; Energy performance; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02225158067987015,"gpt":0.214418202201692,"spread":0.1921666215218219,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008838303,0.0001517988,0.0001728588,0.0001518463,0.0001949332,0.00001766593,0.00005965932,0.0001208938,0.00001008545],"category_scores_gemma":[0.00001392942,0.0001628871,0.00002486429,0.0002034535,0.00004036056,0.000326499,0.00002902674,0.00005525029,1.891939e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002831297,"about_ca_system_score_gemma":0.00001248207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065758,"about_ca_topic_score_gemma":0.000004015659,"domain_scores_codex":[0.9992636,0.00001460298,0.0002368853,0.0001706589,0.0001400251,0.0001742639],"domain_scores_gemma":[0.9996751,0.00004733369,0.00006842963,0.00009709498,0.00005395642,0.00005811127],"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":[0.00002190588,0.000007470663,0.00120239,0.00002985137,0.00002666481,0.000001022957,0.0000733475,0.98816,0.004671628,0.0008073486,0.00001519845,0.004983231],"study_design_scores_gemma":[0.0002665238,0.00003336263,0.00007490322,0.00008146772,0.00001873843,0.00002153635,0.000006027948,0.951453,0.0473705,0.00003904791,0.00046256,0.0001723369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.534464,0.0006621991,0.464526,0.000004922129,0.0001004993,0.00001620325,5.548638e-7,0.00006221098,0.0001634071],"genre_scores_gemma":[0.9734462,0.001252817,0.02511984,0.00005479302,0.00006485869,0.000003412756,0.000006254791,0.000025642,0.00002620527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4394062,"threshold_uncertainty_score":0.6642344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2578264583","doi":"10.1016/j.enbuild.2017.01.031","title":"Economic evaluation of building energy retrofits: A fuzzy based approach","year":2017,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":102,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"FortisBC","keywords":"Retrofitting; Fuzzy logic; Life-cycle cost analysis; Fuzzy set; Asset (computer security); Engineering; Efficient energy use; Computer science; Operations research; Risk analysis (engineering); Reliability engineering; Business; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02756361439887615,"gpt":0.2520339927301782,"spread":0.224470378331302,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118059,0.000174742,0.0002784586,0.0002916929,0.0004849551,0.0004209398,0.0003785633,0.00009423181,0.00004703988],"category_scores_gemma":[0.0003483457,0.0001698526,0.0001034224,0.0001094564,0.0001083732,0.0009654522,0.0002017605,0.00005412731,0.000002003389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005365969,"about_ca_system_score_gemma":0.00003748254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004456687,"about_ca_topic_score_gemma":0.0001250669,"domain_scores_codex":[0.99883,0.00002154324,0.0002823347,0.0003877385,0.0002603535,0.0002180502],"domain_scores_gemma":[0.998638,0.00004148356,0.0006175051,0.0004796982,0.0002049965,0.00001828195],"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":[0.0001143163,0.0001535789,0.06753334,0.0002514544,0.0003297224,0.000003408665,0.00004315593,0.02603095,0.006215391,0.7653269,0.006000993,0.1279968],"study_design_scores_gemma":[0.001804624,0.00001478698,0.006417385,0.0001439281,0.0006879435,0.000002155845,0.00007916075,0.9152357,0.004411227,0.0294286,0.04121942,0.0005550816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158782,0.000346972,0.01065612,0.0006895656,0.0002927808,0.00006107851,0.00000217385,0.00008908204,0.07198396],"genre_scores_gemma":[0.9972546,0.00001226259,0.001193913,0.0005038113,0.0008472055,0.00001929732,0.00001948272,0.00002436955,0.0001250462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8892047,"threshold_uncertainty_score":0.6926387,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1526808601","doi":"10.1016/j.enbuild.2015.05.036","title":"Integration of PCM in domestic hot water tanks: Optimization for shifting peak demand","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; Concordia University","funders":"Concordia University","keywords":"TRNSYS; Storage tank; Phase-change material; Environmental science; Energy consumption; Energy storage; Thermal energy storage; Process engineering; Power (physics); Nuclear engineering; Waste management; Engineering; Phase change; Meteorology; Electrical engineering; Thermodynamics; Thermal","retraction":null,"screen_n_in":null,"score":{"opus":0.03172027048488283,"gpt":0.2720835998394874,"spread":0.2403633293546046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002636063,0.00006529998,0.0001051843,0.0001125298,0.00001551977,0.00002518372,0.00004584922,0.00005043384,0.00001336133],"category_scores_gemma":[0.00007266185,0.00005155388,0.00001043354,0.00006784192,0.00001635157,0.0001323417,0.00002162653,0.00002665302,2.782632e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003032561,"about_ca_system_score_gemma":0.000005182711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004921434,"about_ca_topic_score_gemma":0.00003037469,"domain_scores_codex":[0.9995679,0.00001395687,0.0001318271,0.0000825541,0.00006734649,0.0001363921],"domain_scores_gemma":[0.999827,0.00003125897,0.00001286549,0.00005006944,0.0000407474,0.00003808347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008704609,0.00001847598,0.00004016368,0.0001362635,0.00001229613,0.000003844164,0.001749019,0.3180887,0.6749559,0.001106002,0.0002336171,0.003568664],"study_design_scores_gemma":[0.0007722028,0.00007017525,0.00003993305,0.00009330519,0.000006328879,0.000005744766,0.0001097716,0.4561804,0.5403637,0.001246918,0.000989577,0.0001219678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8806565,0.0001970352,0.1187297,0.00003203221,0.0001265788,0.00005989541,0.000003522908,0.0000306406,0.0001641156],"genre_scores_gemma":[0.9949861,0.00005642706,0.004778812,0.000008459746,0.00006178013,0.00002758521,0.0000312115,0.0000140115,0.00003565552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1380917,"threshold_uncertainty_score":0.2102306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2801523967","doi":"10.1016/j.enbuild.2018.04.052","title":"Development of building energy saving advisory: A data mining approach","year":2018,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Concordia University","funders":"Concordia University","keywords":"Energy consumption; Consumption (sociology); Energy (signal processing); Architectural engineering; Engineering; Environmental economics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02044354207057134,"gpt":0.2164059471321417,"spread":0.1959624050615704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002202368,0.0002072941,0.0002337227,0.0001689767,0.0001988277,0.00003813342,0.0003802958,0.0001312498,0.00001854443],"category_scores_gemma":[0.00001667839,0.0002111764,0.00002448325,0.000305058,0.00009034734,0.0003125434,0.0002675824,0.00006099712,1.331818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002713669,"about_ca_system_score_gemma":0.00003044143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003833181,"about_ca_topic_score_gemma":0.00004291983,"domain_scores_codex":[0.9988527,0.00001484817,0.0003289316,0.0003502048,0.0001650925,0.0002882687],"domain_scores_gemma":[0.9993889,0.00003325706,0.00007524405,0.0003793259,0.00004284907,0.00008038801],"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":[0.00007078396,0.0001335266,0.0005427729,0.0002333208,0.0004606411,0.000004842807,0.002749596,0.113264,0.08582842,0.1262638,0.00457772,0.6658705],"study_design_scores_gemma":[0.0004594056,0.00004422178,0.00009365311,0.0001954345,0.00004401167,0.00003054149,0.0002124049,0.6874017,0.08477616,0.0003174623,0.2257965,0.000628526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3011648,0.0008141267,0.6934059,0.000009784195,0.0002752168,0.00002123916,0.00000392372,0.0002553554,0.004049564],"genre_scores_gemma":[0.7035429,0.00009903913,0.2959616,0.00004570309,0.0001638899,0.000007976121,0.00004530847,0.00003380362,0.00009964726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.665242,"threshold_uncertainty_score":0.8611524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W750816468","doi":"10.1016/j.enbuild.2015.05.038","title":"Control strategies for integration of thermal energy storage into buildings: State-of-the-art review","year":2015,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Phase Change Materials Research","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"HVAC; Control (management); Architectural engineering; Engineering; Renewable energy; Systems engineering; Thermal energy storage; Strengths and weaknesses; Risk analysis (engineering); Computer science; Air conditioning; Mechanical engineering; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02369540721784265,"gpt":0.2699426986531429,"spread":0.2462472914353002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003647411,0.0001317772,0.0002805669,0.00006535267,0.00003138395,0.00002763322,0.0001732485,0.000051003,0.00001314751],"category_scores_gemma":[0.00007093958,0.00009668727,0.00005689852,0.0001321521,0.00007815455,0.0002044452,0.000040288,0.00004569254,2.54745e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630008,"about_ca_system_score_gemma":0.00004467076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002006112,"about_ca_topic_score_gemma":0.00008141078,"domain_scores_codex":[0.9992253,0.00004707315,0.0002634401,0.0001214803,0.0001711904,0.0001714902],"domain_scores_gemma":[0.9994953,0.00006311482,0.00007914443,0.0001544002,0.0001445389,0.00006349781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008918715,0.00002389102,0.000008158415,0.0009135407,0.00006647476,9.849854e-7,0.0004382038,0.004074423,0.9436264,0.01804687,0.006488129,0.02622375],"study_design_scores_gemma":[0.001189412,0.0002240331,0.00001914995,0.001205472,0.00005066693,0.000005114679,0.0001271848,0.009896231,0.8522366,0.008019755,0.1267586,0.0002678127],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7898375,0.02181634,0.1861567,0.0003101556,0.0005193233,0.0003007495,0.00006112489,0.00009749186,0.0009005199],"genre_scores_gemma":[0.9975307,0.001379906,0.000708316,0.00009803048,0.00006922259,0.00007029415,0.000010905,0.00002418849,0.0001084293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2076932,"threshold_uncertainty_score":0.3942792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}