{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":47,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":47,"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":"59e1c4e28945","filters":{"venue":"Journal of Building Performance Simulation"}},"results":[{"id":"W2112191902","doi":"10.1080/19401493.2010.513740","title":"Application of computational fluid dynamics in building performance simulation for the outdoor environment: an overview","year":2010,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":335,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"CFD in buildings; Computational fluid dynamics; Wind tunnel; Computer science; Large eddy simulation; Marine engineering; Meteorology; Environmental science; Turbulence; Engineering; Aerospace engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01943815519880785,"gpt":0.2895112646106172,"spread":0.2700731094118093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009694546,0.0001436708,0.0002100549,0.0001029223,0.0002519595,0.00002452116,0.0002462223,0.0000747729,0.00003568826],"category_scores_gemma":[0.00006016916,0.0001111508,0.00008474434,0.0002059505,0.0001070024,0.0009615608,0.00005995168,0.0002298648,0.000003326524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163462,"about_ca_system_score_gemma":0.00001465351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001218833,"about_ca_topic_score_gemma":0.0000132033,"domain_scores_codex":[0.9985365,0.00002572725,0.0006563953,0.0001663343,0.0004270744,0.0001880242],"domain_scores_gemma":[0.9987782,0.0003593565,0.0005991168,0.0001658866,0.00005378585,0.00004369872],"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":[0.00008172216,0.00005755358,0.1080909,0.00003357328,0.000008654395,7.629626e-8,0.000193306,0.8192063,0.003851457,0.0001068696,0.000001967157,0.06836763],"study_design_scores_gemma":[0.0005994594,0.0001243423,0.2586192,0.00003513313,0.00002096246,0.000002380957,0.00003767431,0.7392237,0.0004988679,0.0002470592,0.0004993691,0.00009185953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8688111,0.00006197074,0.1305216,0.0001016008,0.000165217,0.0003092747,0.000004156655,0.0000066471,0.00001840704],"genre_scores_gemma":[0.9883319,0.00009667373,0.01132418,0.00003635971,0.0001698201,0.00001079115,0.000007382153,0.00001530657,0.000007593778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1505284,"threshold_uncertainty_score":0.4532596,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2560594913","doi":"10.1080/19401493.2016.1255258","title":"Review of current methods, opportunities, and challenges for in-situ monitoring to support occupant modelling in office spaces","year":2016,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"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; American Society of Heating, Refrigerating and Air-Conditioning Engineers","keywords":"Context (archaeology); Architectural engineering; Engineering; Field (mathematics); Investment (military); Systems engineering; Computer science; Construction engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.1669033590514999,"gpt":0.3631031235955877,"spread":0.1961997645440878,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059461,0.00009628662,0.000255624,0.0003143079,0.0000177531,0.000007905352,0.00007314853,0.00004169807,0.000001258603],"category_scores_gemma":[0.00005027232,0.00007719882,0.00003464953,0.0001191017,0.000007546577,0.0004376471,0.00001434034,0.00007898505,3.549069e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007868413,"about_ca_system_score_gemma":0.00002695081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.298723e-7,"about_ca_topic_score_gemma":0.000001005374,"domain_scores_codex":[0.9991198,0.00002442402,0.0005324092,0.00007882545,0.0001121596,0.0001323688],"domain_scores_gemma":[0.9994326,0.0001622593,0.0001816485,0.00007263287,0.000108023,0.00004289504],"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":[0.00003091067,0.0000084185,0.000561146,0.001662603,0.000005828288,2.494788e-7,0.0001043374,0.7752749,0.000963515,0.00006270653,0.000003120972,0.2213223],"study_design_scores_gemma":[0.0006875113,0.0001900433,0.001288495,0.02467279,0.00002886641,0.000006716999,0.00005234472,0.9563809,0.0101525,0.00007107296,0.006263702,0.0002050795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5297368,0.03532179,0.4343524,0.00008580999,0.0003435533,0.0001289777,9.91223e-7,0.00001188538,0.00001780251],"genre_scores_gemma":[0.7790967,0.1899577,0.03085177,0.000005673528,0.00007004228,0.000004713305,5.028754e-7,0.00001138763,0.000001595602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4035006,"threshold_uncertainty_score":0.3148077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025085174","doi":"10.1080/19401490802491827","title":"A database of house descriptions representative of the Canadian housing stock for coupling to building energy performance simulation","year":2009,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University; Dalhousie University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Database; Stock (firearms); Energy performance; Audit; Efficient energy use; Computer science; Architectural engineering; Engineering; Accounting; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02806151625485477,"gpt":0.2771248437078751,"spread":0.2490633274530203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004354477,0.0001606492,0.0002612805,0.0004935206,0.0002901391,0.00003462441,0.0002333975,0.00009522597,0.000003117453],"category_scores_gemma":[0.0001174145,0.0001449164,0.0001124794,0.0006104783,0.00002758408,0.0008209421,0.00001960626,0.0001692164,5.870788e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981022,"about_ca_system_score_gemma":0.0001239983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002753897,"about_ca_topic_score_gemma":0.0003547979,"domain_scores_codex":[0.9985909,0.00001740901,0.0007002713,0.0001246788,0.0003220096,0.0002447443],"domain_scores_gemma":[0.9986233,0.0001333492,0.0004355022,0.000234844,0.0004737244,0.00009925554],"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":[0.00008372326,0.00001773785,0.002598353,0.00006278076,0.00002947842,2.125141e-7,0.0003308816,0.9789497,0.01349399,0.0001519375,0.00002283253,0.004258437],"study_design_scores_gemma":[0.0004091221,0.0001567127,0.005239811,0.0005180223,0.00005384592,0.000003148334,0.00002737986,0.9530284,0.04024336,0.00004222237,0.0001376048,0.0001403229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695286,0.00005863558,0.3299417,0.00002520097,0.0002690795,0.0001333819,0.000006242319,0.00002519197,0.0000120023],"genre_scores_gemma":[0.9790257,0.00004757511,0.02069042,0.00003970225,0.0001475911,0.000003854698,0.000004345823,0.00003424072,0.000006595934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3094971,"threshold_uncertainty_score":0.5909518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072669118","doi":"10.1080/19401493.2013.866695","title":"Coupling stochastic occupant models to building performance simulation using the discrete event system specification formalism","year":2014,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Autodesk (Canada); Carleton University","funders":"Natural Resources Canada; U.S. Department of Energy","keywords":"DEVS; Formalism (music); Discrete event simulation; Discrete time and continuous time; Computer science; Scheduling (production processes); Simulation; Control theory (sociology); Engineering; Modeling and simulation; Mathematical optimization; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02900650623833105,"gpt":0.2649602312266821,"spread":0.235953724988351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001243466,0.0002847604,0.0003334935,0.000398042,0.0004898675,0.0001417298,0.0003277678,0.0001323881,0.000003422531],"category_scores_gemma":[0.00004193742,0.0002323407,0.0001222856,0.0005104764,0.00002454932,0.001653856,0.00004724322,0.0003475467,0.000001319453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000513814,"about_ca_system_score_gemma":0.0000348176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004212544,"about_ca_topic_score_gemma":6.319101e-7,"domain_scores_codex":[0.9977951,0.00003715784,0.0009933322,0.000196508,0.0005975764,0.0003802926],"domain_scores_gemma":[0.9985052,0.0001952664,0.0005240456,0.0003177612,0.0003393735,0.00011837],"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":[0.00008264895,0.000008985553,0.0002162999,0.000125343,0.00003337139,2.621247e-7,0.0003889042,0.9935132,0.001835709,0.0004572588,0.000003287486,0.003334775],"study_design_scores_gemma":[0.0004012671,0.0001032722,0.0005391156,0.0007238557,0.00008045851,0.00002302695,0.00007948609,0.9961767,0.00145669,0.00003881278,0.0000947811,0.0002825879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4949213,0.00004652113,0.5042617,0.000009819334,0.000531383,0.0001430823,8.614459e-7,0.00007059291,0.00001481584],"genre_scores_gemma":[0.9863628,0.00002665232,0.01280637,0.00002074233,0.0007033719,0.00000738934,0.000004489779,0.00006261276,0.000005642109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4914553,"threshold_uncertainty_score":0.9474577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396813774","doi":"10.1080/19401493.2024.2418813","title":"CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities","year":2024,"lang":"en","type":"preprint","venue":"Journal of Building Performance Simulation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"Computer science; Reinforcement learning; Grid; Flexibility (engineering); Distributed computing; Benchmarking; Energy management; Energy storage; Energy (signal processing); Power (physics); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01518340886350805,"gpt":0.2591229276258215,"spread":0.2439395187623134,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004530296,0.0003552669,0.0005242618,0.0009307315,0.00006689554,0.0001062782,0.0003497071,0.0001652676,0.0000114334],"category_scores_gemma":[0.000007244954,0.0003536614,0.000157607,0.0002758375,0.00005052867,0.0002360837,0.0007590418,0.0008618908,8.231139e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003929934,"about_ca_system_score_gemma":0.00003097854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000597449,"about_ca_topic_score_gemma":0.000006461927,"domain_scores_codex":[0.9980782,0.00005879581,0.0008965878,0.000181338,0.0005291218,0.0002559283],"domain_scores_gemma":[0.9987218,0.0001219157,0.0004994265,0.0003693171,0.0002119039,0.00007560947],"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":[0.0001001736,0.00002834488,0.002212163,0.002454431,0.0006847148,0.00001851922,0.0005142771,0.9882732,0.00004031745,0.0001921835,0.0002045133,0.00527715],"study_design_scores_gemma":[0.000435394,0.00008658468,0.005394183,0.003823728,0.0003322421,0.00001229846,0.0004922628,0.9861903,0.001306619,0.0003574861,0.001264186,0.0003047596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788908,0.002265066,0.01279874,0.00003019881,0.003665992,0.0001692834,0.0000151785,0.0001240135,0.002040684],"genre_scores_gemma":[0.9937846,0.004183029,0.001391611,0.00001098265,0.0004406795,0.000007707839,0.00001703378,0.00006745538,0.00009686569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01489379,"threshold_uncertainty_score":0.9998915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2626125313","doi":"10.1080/19401493.2017.1332687","title":"Simulating use scenarios in hospitals using multi-agent narratives","year":2017,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Autodesk (Canada)","funders":"European Research Council","keywords":"Narrative; Computer science; Architectural engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1843970048118652,"gpt":0.4921961138965329,"spread":0.3077991090846678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001915326,0.0001461273,0.0003209468,0.0003080486,0.002205007,0.0001303267,0.0001937088,0.0001802847,0.00003295617],"category_scores_gemma":[0.001533122,0.0001288445,0.00006604771,0.0001348438,0.00003863122,0.002670049,0.00006172351,0.0006599206,0.000003880735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048484,"about_ca_system_score_gemma":0.0003469229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088516,"about_ca_topic_score_gemma":0.00004990267,"domain_scores_codex":[0.9977435,0.0002787488,0.001196052,0.0001551516,0.0002954026,0.000331088],"domain_scores_gemma":[0.9969245,0.0002940844,0.001623729,0.0002805438,0.0007749107,0.0001022507],"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":[0.00003058493,0.0000203153,0.424151,0.00003663234,0.000005713404,0.000002190588,0.003438223,0.5705982,0.0006954254,0.00001487978,0.000001235972,0.001005527],"study_design_scores_gemma":[0.0009416491,0.00006245411,0.2725955,0.0008761302,0.000006786034,0.000001526437,0.0007623435,0.7245373,0.00003959516,0.0000101072,0.00006804393,0.00009853588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9239624,0.00003912556,0.07452887,0.0002424968,0.0008172918,0.0003750718,0.000001384289,0.00001211493,0.00002121385],"genre_scores_gemma":[0.9093363,0.00004594365,0.09013059,0.00007995475,0.0003216468,0.000003072985,0.000002036832,0.00002215677,0.00005829756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.153939,"threshold_uncertainty_score":0.999094,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3006867560","doi":"10.1080/19401493.2020.1727954","title":"Development of reference summer weather years for analysis of overheating risk in buildings","year":2020,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Overheating (electricity); Environmental science; Extreme heat; Meteorology; Heat stress; Climatology; Heat load; Climate change; Geography; Engineering; Atmospheric sciences","retraction":null,"screen_n_in":null,"score":{"opus":0.118442153944341,"gpt":0.361559955653302,"spread":0.243117801708961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006948061,0.00006700586,0.000270843,0.0001725729,0.00003973949,0.000005514319,0.00009962336,0.00004321601,0.0001134906],"category_scores_gemma":[0.0001381055,0.00006113615,0.00006330387,0.0005803729,0.00001962873,0.0002733888,0.00003325108,0.0001034627,9.557217e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229387,"about_ca_system_score_gemma":0.00002153397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002730212,"about_ca_topic_score_gemma":0.00002425732,"domain_scores_codex":[0.9988241,0.00001608844,0.000663981,0.00008995824,0.0002629875,0.0001428684],"domain_scores_gemma":[0.9988958,0.0001124999,0.0008336212,0.00005603056,0.00003710353,0.00006494483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001183698,0.00001933481,0.424733,0.00004205983,0.00002503353,1.52906e-7,0.003790146,0.5381218,0.01090297,0.000001798599,0.000009203151,0.02223616],"study_design_scores_gemma":[0.0004087862,0.0001246445,0.6102028,0.0001052632,0.0000835058,1.849527e-7,0.0001410556,0.3842334,0.004203136,0.000009363855,0.0004288822,0.00005893362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994462,0.00002521573,0.005311982,0.00003732814,0.00002586946,0.00009238764,0.000004845398,0.000002184894,0.00003825194],"genre_scores_gemma":[0.9753895,0.00006211143,0.02446305,0.00004743896,0.00002700261,9.291329e-7,0.000001944878,0.000006150115,0.000001849023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1854699,"threshold_uncertainty_score":0.249306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2802039914","doi":"10.1080/19401493.2018.1463394","title":"Development of an office tenant electricity use model and its application for right-sizing HVAC equipment","year":2018,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Resources Canada; National Research Council Canada","keywords":"HVAC; Sizing; Occupancy; Engineering; Thermal comfort; Air conditioning; Automotive engineering; Electricity; Reliability engineering; Architectural engineering; Computer science; Mechanical engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02286308923545492,"gpt":0.261079630862629,"spread":0.2382165416271741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003607534,0.00009832183,0.000144179,0.0001710118,0.0001375667,0.00002091527,0.0000803782,0.00006538701,0.000001047325],"category_scores_gemma":[0.00001948131,0.00007964671,0.00002549833,0.000143877,0.000009796358,0.0008304158,0.00001221538,0.0000751196,1.007909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009613689,"about_ca_system_score_gemma":0.00004255372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.59318e-7,"about_ca_topic_score_gemma":0.000002345687,"domain_scores_codex":[0.9991661,0.000006508786,0.0004389876,0.00008696725,0.0001637584,0.0001376789],"domain_scores_gemma":[0.9993249,0.00003750499,0.000237265,0.00007307167,0.0002812415,0.00004608372],"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":[0.00009255431,0.00002063602,0.00009864765,0.00005584171,0.00001910296,3.708289e-8,0.0002138295,0.9266875,0.05133794,0.0001419652,0.000001554751,0.02133039],"study_design_scores_gemma":[0.0003048576,0.0001126586,0.0006753837,0.00006506121,0.00001872696,0.000002532425,0.000004298479,0.8744321,0.1239353,0.00005141458,0.0003040319,0.00009364311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5980574,0.0000286675,0.4017529,0.000002541827,0.00005406921,0.00008083814,6.6604e-7,0.00001773639,0.000005194121],"genre_scores_gemma":[0.9013783,0.00003554656,0.09845229,0.000007233279,0.00009426579,0.000005004696,0.000004938532,0.00001568907,0.000006744333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3033209,"threshold_uncertainty_score":0.3247898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308628215","doi":"10.1080/19401493.2022.2142295","title":"A data schema for exchanging information between urban building energy models and urban microclimate models in coupled simulations","year":2022,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"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; Southern African Science Service Centre for Climate Change and Adaptive Land Management; U.S. Department of Energy","keywords":"Microclimate; Facade; Environmental science; Building energy simulation; Computer science; Schema (genetic algorithms); Architectural engineering; Civil engineering; Meteorology; Efficient energy use; Geography; Engineering; Energy performance","retraction":null,"screen_n_in":null,"score":{"opus":0.03718772426520055,"gpt":0.2604323268388024,"spread":0.2232446025736018,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007150368,0.0001817713,0.0002863981,0.0007408446,0.0003370389,0.00009000654,0.000296098,0.0000838639,0.000005017768],"category_scores_gemma":[0.00002848569,0.0002081459,0.00004865562,0.0004556317,0.00001479656,0.004381424,0.0001483829,0.0002582525,3.636907e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304933,"about_ca_system_score_gemma":0.00004248444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005897819,"about_ca_topic_score_gemma":0.000001944615,"domain_scores_codex":[0.9984655,0.00002652819,0.0007719624,0.0001468692,0.0003087955,0.0002803044],"domain_scores_gemma":[0.9990485,0.0001788221,0.0003471996,0.0002254863,0.000138401,0.00006160871],"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":[0.00005629778,0.00001197867,0.00122335,0.00008334038,0.00003511957,3.442516e-7,0.0004545898,0.9933092,0.0005665408,0.0008934925,0.00005358416,0.003312188],"study_design_scores_gemma":[0.001022138,0.0000665632,0.0001277347,0.0001008073,0.00004542361,0.000008040826,0.00005381712,0.9959,0.0003183663,0.001016674,0.001120966,0.0002194419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4794793,0.0002389079,0.5199367,0.00001573392,0.0001422832,0.0000956908,0.00004080569,0.00003953828,0.00001098024],"genre_scores_gemma":[0.9796683,0.0001073392,0.0197638,0.00003235492,0.0001698259,0.00001378906,0.0002042098,0.00003525028,0.00000514162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5001889,"threshold_uncertainty_score":0.8487943,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043761701","doi":"10.1080/19401493.2020.1778788","title":"An open source analysis framework for large-scale building energy modeling","year":2020,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; U.S. Department of Energy","keywords":"Workflow; Scalability; Computer science; Cloud computing; Interface (matter); Scale (ratio); Energy modeling; Open source; Process (computing); Software engineering; Systems engineering; Application programming interface; Distributed computing; Data science; Efficient energy use; Industrial engineering; Database; Engineering; Software; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02221331986914171,"gpt":0.2829219129594688,"spread":0.2607085930903271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004203825,0.0001727655,0.0003653676,0.0002749371,0.0002112273,0.0001875407,0.0004598486,0.0001488007,0.00001784876],"category_scores_gemma":[0.00004651671,0.0001752542,0.0001482678,0.0007688278,0.000006361244,0.001389756,0.00004708557,0.0002228844,1.520901e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682908,"about_ca_system_score_gemma":0.00002485072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003422741,"about_ca_topic_score_gemma":0.000002013361,"domain_scores_codex":[0.9987304,0.00002414351,0.0005734408,0.0001746269,0.0002397022,0.0002577491],"domain_scores_gemma":[0.99916,0.00008381756,0.0002393303,0.0001709683,0.0001962708,0.0001496353],"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":[0.0001002231,0.00002247112,0.0009131144,0.00003404353,0.0001873118,3.52393e-7,0.0004083959,0.9911209,0.001102837,0.0009081555,0.00001229714,0.005189883],"study_design_scores_gemma":[0.0004416524,0.0001674332,0.00005084303,0.00006963787,0.0002482816,0.000001729617,0.00006290554,0.9954845,0.001911632,0.0005148219,0.0008355805,0.0002109608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3974312,0.00006943471,0.6022094,0.00003666625,0.0001281871,0.0000491101,0.00000206381,0.00006359213,0.00001023549],"genre_scores_gemma":[0.7957715,0.0000562992,0.2035414,0.0001406838,0.0004283876,0.000004689907,0.00001157172,0.00004224553,0.000003207719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3986681,"threshold_uncertainty_score":0.7146661,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029128484","doi":"10.1080/19401493.2011.652175","title":"Comparing vertical ground heat exchanger models","year":2012,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Superposition principle; Borehole; Heat exchanger; Range (aeronautics); Thermal; Field (mathematics); Engineering; Structural engineering; Mathematics; Meteorology; Geotechnical engineering; Mechanical engineering; Mathematical analysis; Aerospace engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05920773933652412,"gpt":0.2881103317563136,"spread":0.2289025924197894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003930041,0.0001022247,0.000194036,0.00011537,0.0001291105,0.00003319776,0.0001076064,0.00006528145,0.00004441179],"category_scores_gemma":[0.00001300261,0.00008596046,0.00007778572,0.0001419226,0.00001883491,0.001104999,0.00002263233,0.0001451237,0.00001427699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009617618,"about_ca_system_score_gemma":0.00001320492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001184799,"about_ca_topic_score_gemma":0.000003773839,"domain_scores_codex":[0.9989724,0.00002872923,0.0004226371,0.0000674522,0.0002602436,0.0002485175],"domain_scores_gemma":[0.9994674,0.00005912092,0.0001119106,0.0001244482,0.0001217628,0.0001153752],"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":[0.00002738907,0.0000458945,0.009046786,0.00001641667,0.00001905895,2.274662e-7,0.0003434419,0.9788533,0.003467771,0.006231201,0.000009950762,0.001938503],"study_design_scores_gemma":[0.000356534,0.00003603764,0.0299839,0.00006924838,0.00002406115,0.00002545847,0.00003460481,0.9627236,0.001222277,0.0001750476,0.005243631,0.0001056108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701914,0.000238081,0.02751413,0.00004676527,0.0003416045,0.000043214,1.627129e-7,0.00002015327,0.00160453],"genre_scores_gemma":[0.997959,0.00001779171,0.0009373899,0.00004684805,0.0009582067,0.000003126261,0.000001247226,0.00001852766,0.00005790436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02776759,"threshold_uncertainty_score":0.3505366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135155481","doi":"10.1080/19401493.2021.1894485","title":"A workflow for evaluating occupant-centric controls using building simulation","year":2021,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Carleton University","funders":"Natural Resources Canada","keywords":"Workflow; Computer science; Architectural engineering; Engineering; Simulation; Systems engineering; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.04390305715283038,"gpt":0.3277118569440043,"spread":0.2838087997911739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007536937,0.0001992124,0.0003363476,0.0003068306,0.0002382856,0.0001148881,0.0001269011,0.0001436384,0.00001764614],"category_scores_gemma":[0.0003234117,0.0002087692,0.0001702716,0.0005355557,0.00001342763,0.0009407553,0.00002120394,0.0002248027,2.804308e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002743538,"about_ca_system_score_gemma":0.0001009916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.050341e-7,"about_ca_topic_score_gemma":2.657391e-7,"domain_scores_codex":[0.9983107,0.00004587321,0.0007845347,0.0001604196,0.0003832572,0.0003151854],"domain_scores_gemma":[0.9982522,0.0004467693,0.0004061841,0.0001552935,0.000663179,0.00007638286],"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":[0.0001312141,0.00002119251,0.001589354,0.00009385755,0.00007081895,0.000002266224,0.00006977382,0.9517463,0.01674177,0.00007176938,0.000005729943,0.02945589],"study_design_scores_gemma":[0.001433171,0.0001103171,0.00050171,0.0003536296,0.0001242766,0.00002623428,0.00001485292,0.9871697,0.009504727,0.0002559734,0.000283909,0.0002214551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5071524,0.0003409319,0.4918073,0.000006600008,0.0005472572,0.00009291259,0.000001351005,0.00004272338,0.000008471221],"genre_scores_gemma":[0.8715886,0.00004731612,0.1277937,0.00002923886,0.000476589,0.00000370895,0.000007231602,0.00004432799,0.000009362802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3644362,"threshold_uncertainty_score":0.8513359,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401123790","doi":"10.1080/19401493.2024.2384487","title":"Informing building retrofits at low computational costs: a multi-objective optimisation using machine learning surrogates of building performance simulation models","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University","funders":"Canada Research Chairs; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Architectural engineering; Computer science; Engineering; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.02103339010692921,"gpt":0.2658693668889969,"spread":0.2448359767820677,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001012492,0.000390003,0.0004915362,0.001048876,0.0004125894,0.0001481896,0.0002152444,0.0002433066,0.0000177065],"category_scores_gemma":[0.0001205062,0.0004038703,0.0001984149,0.0009297871,0.00005774279,0.003682081,0.000079868,0.0006495233,7.898586e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322016,"about_ca_system_score_gemma":0.0001053211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559305,"about_ca_topic_score_gemma":0.000002435197,"domain_scores_codex":[0.9972217,0.00006614947,0.001309713,0.0002767249,0.0007217815,0.0004039482],"domain_scores_gemma":[0.9980032,0.0004831897,0.0006686168,0.0001551998,0.0005837078,0.0001061074],"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":[0.0001356438,0.0000256756,0.005728513,0.0005005768,0.000137842,0.000002685836,0.0008920237,0.9732079,0.01137809,0.0001272986,0.000001115289,0.007862664],"study_design_scores_gemma":[0.0008227502,0.0001519024,0.0007336662,0.001950548,0.0001030419,0.00005209449,0.00005747576,0.9778496,0.01779789,0.00006966963,0.00002813051,0.0003832345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5611391,0.000447474,0.4376916,0.00000463548,0.0004396378,0.0001280379,0.000004347852,0.0001307727,0.00001438001],"genre_scores_gemma":[0.9163436,0.0002485203,0.08303284,0.000007370807,0.0002282437,0.000003968177,0.00002941602,0.00008994949,0.00001608748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3552045,"threshold_uncertainty_score":0.9998413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1976184747","doi":"10.1080/19401490903046785","title":"Thermal performance modelling of complex fenestration systems","year":2009,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Glazing; Facade; Fenestration; Thermal; Computational fluid dynamics; Shading; Photovoltaic system; Thermal mass; Thermal comfort; Solar gain; Louver; Mechanical engineering; Engineering; Computer science; Solar energy; Structural engineering; Aerospace engineering; Meteorology; Electrical engineering; Civil engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.03347167892040946,"gpt":0.2315091384657338,"spread":0.1980374595453243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277463,0.0001183018,0.0002083857,0.0002004293,0.00007467128,0.00002997813,0.0001188454,0.00008046385,0.000005304091],"category_scores_gemma":[0.000004717565,0.0001110584,0.00005700386,0.0002098482,0.00001266231,0.0008206761,0.00000432915,0.0001489873,2.946719e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006399203,"about_ca_system_score_gemma":0.0000199496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001156313,"about_ca_topic_score_gemma":5.339871e-8,"domain_scores_codex":[0.9989458,0.00001445891,0.0005745721,0.00006269193,0.0002626158,0.0001399061],"domain_scores_gemma":[0.9993477,0.00002829281,0.0002946878,0.0001032317,0.0001896329,0.00003639076],"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":[0.00004157559,0.00001606084,0.001150579,0.00007064539,0.00001523732,3.395863e-7,0.00008944542,0.9813471,0.008324343,0.0001038205,0.000005774355,0.008835102],"study_design_scores_gemma":[0.0002949948,0.0001731985,0.005487334,0.0001924409,0.00002001827,0.000008054481,0.000009774686,0.9878331,0.005797646,0.0000150865,0.00005774078,0.0001105831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7020764,0.0001260753,0.2973005,0.000005542568,0.0002368745,0.00004369186,3.45103e-7,0.00003338635,0.0001772167],"genre_scores_gemma":[0.9932893,0.0001506544,0.006317982,0.000007682085,0.0002073743,6.184465e-7,0.000003957864,0.00001405912,0.000008357802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2912129,"threshold_uncertainty_score":0.4528829,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308520947","doi":"10.1080/19401493.2022.2137236","title":"Improved calibration of building models using approximate Bayesian calibration and neural networks","year":2022,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Resources Canada","keywords":"Calibration; Bayesian inference; Inference; Sensitivity (control systems); Computer science; Artificial neural network; Bayesian probability; Approximate Bayesian computation; Uncertainty quantification; Frequentist inference; Computation; Monte Carlo method; Variable-order Bayesian network; Bayesian network; Machine learning; Algorithm; Artificial intelligence; Statistics; Mathematics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.06709170752371582,"gpt":0.315957788613406,"spread":0.2488660810896901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00282098,0.00013686,0.0003202964,0.0004344325,0.0003382593,0.0001238005,0.0002671485,0.00006308407,0.00001764197],"category_scores_gemma":[0.0002950527,0.0001143063,0.00008654933,0.0006043768,0.00004361364,0.001776207,0.0001123033,0.0002905652,3.09207e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096843,"about_ca_system_score_gemma":0.00006904662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006046932,"about_ca_topic_score_gemma":2.249356e-7,"domain_scores_codex":[0.9975514,0.000160667,0.001094438,0.0001997734,0.0008016575,0.0001920902],"domain_scores_gemma":[0.9979715,0.0004313871,0.001082517,0.0001814467,0.0002560095,0.00007714486],"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":[0.0001152328,0.00001905072,0.001338492,0.00001772583,0.00001083806,0.000001060112,0.000248035,0.9871763,0.006157942,0.0002948768,0.000006684519,0.004613769],"study_design_scores_gemma":[0.000407286,0.0001935615,0.0000841548,0.00003209024,0.00002856931,0.00004175787,0.00009271238,0.9961067,0.0005524817,0.002338606,0.000002750783,0.0001192707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4034353,0.0001093547,0.5960341,0.0000258574,0.0002889205,0.00009446817,0.000001693859,0.000009043826,0.000001254732],"genre_scores_gemma":[0.9712074,0.000009648687,0.02857473,0.00002202037,0.0001595647,0.000001917179,0.00000152971,0.00001590938,0.000007208685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5677722,"threshold_uncertainty_score":0.4661276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200015228","doi":"10.1080/19401493.2021.1998223","title":"Control-oriented thermal network models for predictive load management in Canadian houses with on-Site solar electricity generation: application to a research house","year":2021,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electricity; HVAC; Reduction (mathematics); Photovoltaics; Environmental science; Model predictive control; Load shifting; Single-family detached home; Thermal comfort; Thermal energy storage; Photovoltaic system; Automotive engineering; Engineering; Civil engineering; Control (management); Computer science; Meteorology; Electrical engineering; Geography; Air conditioning; Mechanical engineering; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.01814087746202841,"gpt":0.2597829478062843,"spread":0.2416420703442559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007043715,0.0001052141,0.0001463518,0.0003301175,0.0001763043,0.00004734832,0.00008279182,0.00006941306,0.000001721484],"category_scores_gemma":[0.00001841933,0.0001008296,0.00003015027,0.000753452,0.000008479114,0.0003835821,0.000007838621,0.0002118638,4.028173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025488,"about_ca_system_score_gemma":0.0001515655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002177409,"about_ca_topic_score_gemma":0.002600357,"domain_scores_codex":[0.9988684,0.00003745377,0.0002855654,0.000138412,0.0003411768,0.0003289924],"domain_scores_gemma":[0.9991233,0.00006757332,0.00007126541,0.0001316276,0.0005042589,0.000101995],"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":[0.0002724455,0.00002235685,0.001468628,0.00002001712,0.00004871031,0.000003794708,0.0001419783,0.9930919,0.0005137371,0.0005292756,0.00008848673,0.003798682],"study_design_scores_gemma":[0.0008720926,0.0002328845,0.001462038,0.00009967502,0.00001954681,0.000003312567,0.000008478447,0.9947152,0.001704204,0.00006704342,0.0007107728,0.0001048082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5072424,0.00004929089,0.492298,0.00003991619,0.00007156208,0.0002163369,0.000002031762,0.00002316146,0.0000573472],"genre_scores_gemma":[0.9896424,0.00005916339,0.009805514,0.00008067616,0.0003083649,0.00005081704,0.000008280528,0.00003381883,0.00001092052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4824924,"threshold_uncertainty_score":0.4111712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210640095","doi":"10.1080/19401493.2021.2019309","title":"Regulating window operations using HVAC terminal devices’ control sequences: a simulation-based investigation","year":2022,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Carleton University","funders":"National Research Council Canada","keywords":"Thermostat; HVAC; Window (computing); Closing (real estate); Efficient energy use; Terminal (telecommunication); Control (management); Indoor air quality; Energy (signal processing); Engineering; Simulation; Computer science; Automotive engineering; Real-time computing; Air conditioning; Operating system; Mechanical engineering; Telecommunications; Electrical engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02026614996460285,"gpt":0.2546053238064256,"spread":0.2343391738418227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006475663,0.0001749213,0.0002285822,0.0004150873,0.0006559044,0.00008988223,0.0001806532,0.00006878773,0.00004458309],"category_scores_gemma":[0.00006732254,0.0001880778,0.00009143101,0.0005497404,0.0000298395,0.001067846,0.00001920002,0.0003428119,2.67837e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004252024,"about_ca_system_score_gemma":0.0001527784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008172194,"about_ca_topic_score_gemma":0.000002510277,"domain_scores_codex":[0.9983616,0.00009137869,0.0007134487,0.0001315846,0.0004916959,0.0002102166],"domain_scores_gemma":[0.9990043,0.0002183017,0.0003248315,0.0001421749,0.000238016,0.00007235132],"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":[0.00004444433,0.00001372419,0.009521568,0.00004052656,0.00002947057,0.000002201318,0.0001744437,0.9826875,0.006032693,0.00003256197,0.000002229928,0.001418659],"study_design_scores_gemma":[0.0008827067,0.0001128104,0.001629828,0.00011445,0.00006384154,0.00002215926,0.00004752653,0.9951116,0.001669322,0.00005276901,0.00008900531,0.0002039378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6577578,0.00005834382,0.3416493,0.00002358562,0.0003343177,0.0001021876,0.000003349411,0.00005926419,0.00001189506],"genre_scores_gemma":[0.982686,0.000002658648,0.01687378,0.0001094125,0.0002592932,0.000008623819,0.00001618006,0.00003588573,0.000008123196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3249283,"threshold_uncertainty_score":0.7669592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2895487637","doi":"10.1080/19401493.2018.1523950","title":"Control-oriented model of a solar community with seasonal thermal energy storage: development, calibration and validation","year":2018,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Model predictive control; Calibration; Borehole; Thermal energy storage; Solar energy; Key (lock); Engineering; Control (management); Thermal; Environmental science; Control engineering; Computer science; Meteorology; Geography; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.0188074421253193,"gpt":0.243904166130764,"spread":0.2250967240054448,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004855455,0.0001116071,0.0001887975,0.0001209711,0.0002939953,0.00002543626,0.00009292492,0.00006609066,0.00001169567],"category_scores_gemma":[0.00002036756,0.00008899257,0.00002891327,0.0001588248,0.00007095646,0.0006077918,0.00001765208,0.0001357375,2.531299e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005000623,"about_ca_system_score_gemma":0.00009919585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001559211,"about_ca_topic_score_gemma":0.00003205267,"domain_scores_codex":[0.9989909,0.00009835722,0.0004466,0.00007663581,0.0002677057,0.0001197945],"domain_scores_gemma":[0.9986532,0.00006713936,0.0006232895,0.0001261218,0.0004748074,0.00005542297],"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":[0.0002185611,0.0000499989,0.005250015,0.00002151496,0.00004430311,1.183455e-7,0.0005856436,0.9553623,0.03104581,0.001746766,0.000002013783,0.005673004],"study_design_scores_gemma":[0.000983522,0.0002085201,0.009113874,0.0000926141,0.00002882628,0.000006597511,0.00004189452,0.9587519,0.03018572,0.00005234696,0.0004381824,0.00009600574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6592517,0.0000109595,0.340575,0.00001689938,0.00002774355,0.00003392332,0.00000116607,0.000009341279,0.00007324448],"genre_scores_gemma":[0.9943866,0.000003361363,0.005385282,0.0000343525,0.0001275225,0.000004000522,0.000007768402,0.00001619247,0.00003488423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3351897,"threshold_uncertainty_score":0.3629012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992079145","doi":"10.1080/19401491003653611","title":"Convective heat transfer in domed skylight cavities","year":2010,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; Toronto Metropolitan University; Atomic Energy (Canada)","funders":"","keywords":"Heat transfer; Laminar flow; Nusselt number; Solar gain; Mechanics; Convective heat transfer; Natural convection; Thermal; Computational fluid dynamics; Skylight; Materials science; Optics; Turbulence; Meteorology; Engineering; Mechanical engineering; Physics; Reynolds number","retraction":null,"screen_n_in":null,"score":{"opus":0.005130607306760524,"gpt":0.212195000916667,"spread":0.2070643936099065,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002372061,0.00009902839,0.0001569188,0.0002765239,0.00004633707,0.00002515462,0.00008566523,0.00009844293,0.00002671514],"category_scores_gemma":[0.00001417802,0.00009199728,0.0000473968,0.0002084896,0.00002003903,0.0006335058,0.000004433384,0.0003720834,4.692771e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006064805,"about_ca_system_score_gemma":0.00001830983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003213907,"about_ca_topic_score_gemma":0.00001115993,"domain_scores_codex":[0.9993063,0.00001043482,0.0003324362,0.0000581725,0.0001546188,0.0001380895],"domain_scores_gemma":[0.9997306,0.00005698558,0.00002248652,0.00007237032,0.00008027004,0.0000372267],"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":[0.00003327528,0.00001175292,0.004531446,0.00002267111,0.00001190716,0.000001645434,0.0003342636,0.9728296,0.02041616,0.0001900862,0.000006421829,0.001610747],"study_design_scores_gemma":[0.0005592549,0.00004706265,0.007290547,0.00006655214,0.000009763145,0.00001707616,0.00001877751,0.9467358,0.04457439,0.00004835182,0.0005219645,0.0001104534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582046,0.00005353879,0.04053028,0.00002149747,0.0008824987,0.00004700479,4.549242e-7,0.00003596019,0.0002241278],"genre_scores_gemma":[0.99822,0.00006068073,0.001482528,0.00001531987,0.0001866963,0.000001980649,0.000001441448,0.00001764355,0.00001373555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04001533,"threshold_uncertainty_score":0.375154,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096712958","doi":"10.1080/19401493.2020.1838612","title":"Fluid temperature predictions of geothermal borefields using load estimations via state observers","year":2020,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Horizon 2020 Framework Programme","keywords":"Kalman filter; Geothermal gradient; Superposition principle; Estimator; Cooling load; Mathematics; Function (biology); Applied mathematics; Control theory (sociology); Computer science; Mathematical optimization; Engineering; Statistics; Geology; Mathematical analysis","retraction":null,"screen_n_in":null,"score":{"opus":0.02605690522452971,"gpt":0.2644020570706469,"spread":0.2383451518461172,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002039957,0.0001321108,0.000242258,0.0001002822,0.0001706425,0.00002989915,0.0001574907,0.0000968235,0.00006380666],"category_scores_gemma":[0.00005679972,0.0001188291,0.0001221997,0.0003825518,0.00003546193,0.000580418,0.0000214359,0.0002174397,0.000002841766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009519161,"about_ca_system_score_gemma":0.0001261666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001657356,"about_ca_topic_score_gemma":0.000008850011,"domain_scores_codex":[0.9986394,0.00003540087,0.0006951442,0.000115278,0.0003570381,0.0001577177],"domain_scores_gemma":[0.9986334,0.00005514599,0.0006049959,0.0001408265,0.000460481,0.0001051627],"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":[0.0000476308,0.00002668803,0.001653227,0.00005523371,0.00004690983,7.776722e-7,0.0004881195,0.8979532,0.09777964,0.0001780503,0.00001501861,0.001755528],"study_design_scores_gemma":[0.0005042561,0.0001312739,0.007526237,0.0001278554,0.00005134589,0.00001434149,0.00005008234,0.9798418,0.009575188,0.00004172998,0.00202521,0.0001106216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474409,0.0001267157,0.0517556,0.000238834,0.0001646656,0.00008587418,0.000008042452,0.0000279939,0.0001513517],"genre_scores_gemma":[0.995093,0.00002965236,0.004415605,0.00008645601,0.0003136068,0.000002271231,0.000004179994,0.00002276795,0.00003243667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08820445,"threshold_uncertainty_score":0.4845708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385545972","doi":"10.1080/19401493.2023.2243602","title":"Online model-based predictive control with smart thermostats: application to an experimental house in Québec","year":2023,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermostat; Model predictive control; Architectural engineering; Computer science; Control (management); Engineering; Simulation; Environmental science; Mechanical engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.00958385059442675,"gpt":0.2485007460162964,"spread":0.2389168954218696,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001883687,0.0001081725,0.0001398314,0.0003150721,0.00005177845,0.00001976994,0.00009761586,0.00005186456,0.000001914198],"category_scores_gemma":[0.000007772558,0.00009644855,0.00002401246,0.0003891751,0.00001088922,0.0004987607,0.000005546116,0.0001313763,6.695917e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002162494,"about_ca_system_score_gemma":0.00006274722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002639414,"about_ca_topic_score_gemma":0.00007452576,"domain_scores_codex":[0.9992736,0.00001422158,0.000282332,0.00009261504,0.00019601,0.0001412181],"domain_scores_gemma":[0.9996202,0.00003609254,0.0000938526,0.0001070934,0.00008221352,0.00006056592],"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":[0.0002839869,0.00005958548,0.005085228,0.0000111818,0.00001094544,0.000001045864,0.0003880923,0.9854317,0.006084137,0.000006322212,0.000006759458,0.002631022],"study_design_scores_gemma":[0.0009969576,0.0003123702,0.006045448,0.0000783702,0.00001031306,0.000001745852,0.00005540524,0.9873836,0.004968212,0.000006747071,0.00003076552,0.0001100766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5937105,0.00001454161,0.4060153,0.00002423524,0.00003730482,0.00008937499,0.000001910484,0.0001023582,0.000004436761],"genre_scores_gemma":[0.9950636,0.000007453351,0.00473324,0.00005866046,0.000068671,0.0000153685,0.00000925412,0.00004072101,0.000003003648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4013531,"threshold_uncertainty_score":0.3933058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2770454202","doi":"10.1080/19401493.2017.1396359","title":"Above-floor tube-and-plate radiant floor model development and validation","year":2017,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; Carleton University; Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transient (computer programming); Finite element method; Tube (container); Structural engineering; Radiant energy; Mechanical engineering; Engineering; Computer science; Optics; Radiation; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01821298004123541,"gpt":0.243602529787202,"spread":0.2253895497459665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032997,0.0001127298,0.0001472789,0.0001383603,0.0003295963,0.0001362687,0.0000977261,0.00007499618,0.000003771035],"category_scores_gemma":[0.00002835629,0.0001059962,0.00002243316,0.00003672003,0.00002127019,0.001078743,0.00002403437,0.0001360457,5.136545e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005701945,"about_ca_system_score_gemma":0.00002650456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001393187,"about_ca_topic_score_gemma":6.496942e-7,"domain_scores_codex":[0.9993058,0.000006016364,0.0003224012,0.00008158901,0.0001566464,0.0001274985],"domain_scores_gemma":[0.9995241,0.00001396894,0.0002080053,0.0001138814,0.00007709859,0.00006301008],"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":[0.00002154773,0.000004858999,0.001835862,0.00004264234,0.00002218552,8.368424e-7,0.000208916,0.9488087,0.001076943,0.00004900898,0.000005907852,0.04792261],"study_design_scores_gemma":[0.0004723445,0.0000233912,0.01301998,0.0001231975,0.00002084776,0.000016756,0.000005063205,0.9754996,0.01040676,0.00008102314,0.0002052546,0.0001257579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8463407,0.0001427154,0.1531598,0.00002641132,0.0002103275,0.00004001677,4.803337e-7,0.00002546126,0.00005415514],"genre_scores_gemma":[0.9666584,0.0003184402,0.03285651,0.0000116942,0.0001012702,0.000001482702,0.000002075255,0.00001779722,0.00003240804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1203177,"threshold_uncertainty_score":0.4322398,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899064365","doi":"10.1080/19401493.2018.1536167","title":"The impact of local variations in a temperate maritime climate on building energy use","year":2018,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Victoria","funders":"Engineering and Physical Sciences Research Council","keywords":"Environmental science; Microclimate; Meteorology; Temperate climate; Climatology; Climate zones; Building energy simulation; Atmospheric sciences; Energy (signal processing); Geography; Physical geography; Energy performance; Statistics; Mathematics; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01074882741089144,"gpt":0.2594513727523387,"spread":0.2487025453414473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004229382,0.000131231,0.0001801222,0.0002955114,0.0001672542,0.000065509,0.0001400393,0.00008657389,0.00000965699],"category_scores_gemma":[0.00004371029,0.00009714377,0.00009313824,0.0004138416,0.00004845863,0.0006686059,0.00001897939,0.0001806419,4.029714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002143324,"about_ca_system_score_gemma":0.00003480515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003352263,"about_ca_topic_score_gemma":0.0000110915,"domain_scores_codex":[0.9988974,0.0000361913,0.0005618391,0.00007737368,0.0002024502,0.0002247713],"domain_scores_gemma":[0.9991646,0.0002093811,0.0002361721,0.0001434889,0.0002052394,0.00004115015],"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":[0.0001311064,0.0000221876,0.009637847,0.000009052339,0.00003689271,6.560184e-7,0.00007048246,0.9774306,0.001822982,0.001075091,0.00001748609,0.009745661],"study_design_scores_gemma":[0.0003935197,0.0002370864,0.03006423,0.0001862981,0.00001136556,0.000007975929,0.000006795358,0.9642106,0.004547338,0.0001226264,0.0001143289,0.00009787349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8233141,0.0000359001,0.1762814,0.00000851071,0.0002521846,0.00003222879,0.000001812647,0.00002181551,0.00005209337],"genre_scores_gemma":[0.9973098,0.0002692092,0.002193513,0.000009836924,0.0001827501,0.000001814142,0.000002015484,0.00002321234,0.000007832196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1740879,"threshold_uncertainty_score":0.3961408,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999448470","doi":"10.1080/19401490903528147","title":"A simplified model of heat transfer at an indoor window glazing surface with a Venetian blind","year":2010,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University; Toronto Metropolitan University","funders":"","keywords":"Glazing; Heat transfer; Convection; Mechanics; Radiative transfer; Window (computing); Convective heat transfer; Materials science; Solar gain; Fenestration; Thermal; Thermodynamics; Optics; Physics; Computer science; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.01421438109321049,"gpt":0.2294952827404917,"spread":0.2152809016472812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629472,0.0001421488,0.0002169924,0.0001532704,0.00009245848,0.00002464403,0.0001339411,0.0001222704,0.00001127313],"category_scores_gemma":[0.000007046504,0.0001241864,0.00005341972,0.0001993956,0.00002812915,0.0007122026,0.00000915296,0.0003090822,1.678505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005501181,"about_ca_system_score_gemma":0.00004037937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002625046,"about_ca_topic_score_gemma":0.00001635037,"domain_scores_codex":[0.9990652,0.00001161507,0.0003978203,0.00009376555,0.0002615125,0.0001701163],"domain_scores_gemma":[0.9995127,0.0000353895,0.00006514601,0.0001537186,0.000154112,0.00007887419],"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":[0.0002652222,0.00002004055,0.004673677,0.00003906069,0.00002470273,5.282466e-7,0.0002822575,0.8044793,0.1893639,0.0000262034,0.000001000017,0.0008241027],"study_design_scores_gemma":[0.001069961,0.0001604546,0.001509492,0.00008781371,0.00003365183,0.00001826669,0.000009286327,0.9133683,0.08356806,0.00001713847,0.00002333718,0.0001341959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8390548,0.00002451803,0.1606292,0.00000842877,0.0001494248,0.00006656737,0.000001640702,0.00003271509,0.00003280165],"genre_scores_gemma":[0.9855883,0.00002663822,0.01423211,0.00001004672,0.00009609764,8.782803e-7,0.000004219431,0.00003507413,0.00000667951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1465335,"threshold_uncertainty_score":0.5064173,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400734350","doi":"10.1080/19401493.2024.2375304","title":"A neural network-based surrogate model to predict building features from heating and cooling load signatures","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"National Research Council Canada; Carleton University","funders":"National Research Council Canada","keywords":"Cooling load; Artificial neural network; Surrogate model; Building energy simulation; Computer science; Environmental science; Engineering; Artificial intelligence; Machine learning; Efficient energy use; Mechanical engineering; Energy performance","retraction":null,"screen_n_in":null,"score":{"opus":0.010440202709147,"gpt":0.2410464345270178,"spread":0.2306062318178708,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004104684,0.0001964095,0.0002278996,0.00022684,0.0001524979,0.0002036918,0.0001186359,0.0001276327,0.000004523144],"category_scores_gemma":[0.00004493897,0.0001830866,0.00007412702,0.0003395161,0.00001426117,0.0006755904,0.00002659847,0.0004335867,1.924165e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550295,"about_ca_system_score_gemma":0.00005547826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008793516,"about_ca_topic_score_gemma":0.000002865401,"domain_scores_codex":[0.9988035,0.00002042776,0.0004196879,0.0001644997,0.00033207,0.0002598074],"domain_scores_gemma":[0.9993819,0.0002081964,0.00009105532,0.00009936981,0.0001173207,0.0001021581],"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":[0.00008613562,0.000004297558,0.000737838,0.00007920011,0.00004389254,0.000004820555,0.000181379,0.9818336,0.003729239,0.00004721755,0.0001229106,0.01312941],"study_design_scores_gemma":[0.0002817251,0.00006635226,0.0007554034,0.0008851279,0.00005188828,0.000007847203,0.00000569147,0.9951973,0.002272448,0.0001581143,0.0001316812,0.0001864346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.663213,0.001946235,0.3340509,0.00003303017,0.0005438771,0.0000600408,0.000002959827,0.0001363441,0.00001369517],"genre_scores_gemma":[0.9494995,0.00007741012,0.04963577,0.00008862361,0.0006385721,0.00000275069,0.000004997685,0.00004478492,0.000007543144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2862866,"threshold_uncertainty_score":0.7466056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022515546","doi":"10.1080/19401490802651925","title":"A plausible forecast of the energy and emissions performance of mature-technology Stirling engine residential cogeneration systems in Canada","year":2009,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University; Natural Resources Canada","funders":"","keywords":"Stirling engine; Cogeneration; Primary energy; Fossil fuel; Engineering; Greenhouse gas; Natural gas; Environmental science; Process engineering; Waste management; Automotive engineering; Power (physics); Electricity generation; Renewable energy; Mechanical engineering; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.004986888856642548,"gpt":0.1959944363084643,"spread":0.1910075474518217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407748,0.00009002348,0.0002197762,0.0002100326,0.00003898007,0.000005994099,0.00009089434,0.00006365376,9.856623e-7],"category_scores_gemma":[0.00002020622,0.00006911837,0.00002261249,0.0002924626,0.00001125081,0.0002257172,0.000009965099,0.0001177606,8.396225e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001595352,"about_ca_system_score_gemma":0.00008725325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191903,"about_ca_topic_score_gemma":0.00311724,"domain_scores_codex":[0.9991266,0.00001043672,0.0005167287,0.0000523687,0.0001791822,0.0001147337],"domain_scores_gemma":[0.999503,0.00003098786,0.0002628716,0.00008085361,0.0001000642,0.0000222238],"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":[0.00002223695,0.000003527568,0.006911176,0.0001044402,0.000009134337,4.400696e-7,0.00004351695,0.9274428,0.05942422,0.00007057402,0.00000388884,0.005964045],"study_design_scores_gemma":[0.0002926585,0.0000508991,0.01364542,0.0006589054,0.00001008127,0.00002831668,0.00004475143,0.9636911,0.02143545,0.00001837661,0.00006128894,0.00006281334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850996,0.0009282837,0.01352648,0.00001381297,0.000356634,0.00005590243,0.000001843903,0.000007380183,0.00001007831],"genre_scores_gemma":[0.9991407,0.0001842012,0.0005773357,0.000001961696,0.00007971386,8.484305e-7,6.082254e-7,0.000008976505,0.000005672973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03798877,"threshold_uncertainty_score":0.2901012,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391323083","doi":"10.1080/19401493.2024.2307636","title":"Adaptation to extreme weather events using pre-conditioning: a model-based testing of novel resilience algorithms on a residential case study","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Resilience (materials science); Adaptation (eye); Algorithm; Computer science; Conditioning; Mathematics; Psychology; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.05522568044368101,"gpt":0.3266359132693636,"spread":0.2714102328256826,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000719354,0.0001443653,0.0002189152,0.0006164868,0.0001431008,0.00005705444,0.0001058629,0.00005588047,0.00000734007],"category_scores_gemma":[0.000150484,0.0001335001,0.00008710194,0.0007255777,0.00001642018,0.0006583683,0.00001321837,0.0002380698,4.44075e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214828,"about_ca_system_score_gemma":0.00009989872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004162065,"about_ca_topic_score_gemma":0.00000973707,"domain_scores_codex":[0.9985184,0.00003254011,0.0006362438,0.0001578342,0.0004761967,0.0001787948],"domain_scores_gemma":[0.9991934,0.0001847355,0.0001705662,0.0001393688,0.0002527445,0.0000591281],"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":[0.00004951714,0.00005717564,0.002690566,0.00009592607,0.00004073304,0.00002756799,0.001506487,0.9652167,0.021475,0.000002002472,0.000001070724,0.00883726],"study_design_scores_gemma":[0.0003576185,0.0003293358,0.003471181,0.0005950753,0.0001102076,0.0000883792,0.0003628612,0.9917147,0.002816167,0.0000290508,0.000001021944,0.0001244197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5364007,0.00001890461,0.4633369,0.000002857907,0.0001102054,0.0001063099,0.000001839811,0.0000189034,0.000003344511],"genre_scores_gemma":[0.9588168,0.00000110278,0.04100059,0.000005556996,0.0001475448,0.000002621063,6.819609e-7,0.00002085452,0.000004215183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4224162,"threshold_uncertainty_score":0.5443974,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3007991909","doi":"10.1080/19401493.2020.1728383","title":"A model for predicting the solar reflectivity of the ground that considers the effects of accumulating and melting snow","year":2020,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University","funders":"","keywords":"Snow; Reflectivity; Environmental science; Meteorology; Atmospheric sciences; Remote sensing; Geology; Optics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.07325634540927323,"gpt":0.2817864155911379,"spread":0.2085300701818647,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006512238,0.00006819565,0.0001477384,0.00001181206,0.0005118094,0.00002664188,0.0001249037,0.00002528283,0.000002064927],"category_scores_gemma":[0.001083576,0.00003306075,0.0000749073,0.0001632366,0.00007348057,0.0002930956,0.00002273483,0.0001481145,2.1654e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005241147,"about_ca_system_score_gemma":0.00003579099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004657502,"about_ca_topic_score_gemma":0.00004467632,"domain_scores_codex":[0.9992728,0.00004799488,0.000290496,0.00006572065,0.0002187274,0.0001043099],"domain_scores_gemma":[0.9967164,0.002441519,0.0006360388,0.00006957487,0.0001156206,0.00002083369],"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":[0.00003119591,0.000001822606,0.3263879,0.00007435703,0.0000217001,3.397058e-8,0.002696614,0.6617364,0.0003468297,0.000004832769,0.000005716764,0.008692664],"study_design_scores_gemma":[0.0001972508,0.00008245681,0.2978875,0.00009800432,0.00004390088,0.000001409091,0.0004862223,0.7006071,0.0004516225,0.0001048417,0.00001404556,0.00002573738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812893,0.0003812994,0.01735977,0.0005855355,0.0001456356,0.0002230695,0.000002978121,0.000003200261,0.000009221028],"genre_scores_gemma":[0.9978895,0.00006048682,0.001803349,0.00013721,0.0001041307,4.870712e-7,3.454924e-7,0.000002675537,0.000001784244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03887067,"threshold_uncertainty_score":0.3936476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385873582","doi":"10.1080/19401493.2023.2245796","title":"Household energy and comfort impacts under teleworking scenarios via a zoned residential HVAC system","year":2023,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"HVAC; Thermal comfort; Architectural engineering; Energy (signal processing); Environmental science; Engineering; Building energy simulation; Efficient energy use; Civil engineering; Air conditioning; Energy performance; Meteorology; Geography; Mechanical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01328420771411455,"gpt":0.2211011024059987,"spread":0.2078168946918842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003834364,0.0001534363,0.0002239034,0.0004500998,0.0001814263,0.0000872147,0.0001082599,0.0001275799,0.000002740549],"category_scores_gemma":[0.0000109479,0.0001479316,0.0000624347,0.0004817904,0.00001723192,0.0006584458,0.00003137489,0.000172907,4.066368e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001584212,"about_ca_system_score_gemma":0.00002391746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009304166,"about_ca_topic_score_gemma":0.00000462669,"domain_scores_codex":[0.9988579,0.00002120824,0.0004747775,0.0001025752,0.0002976216,0.0002459637],"domain_scores_gemma":[0.9994459,0.0000721913,0.0002093856,0.0001190389,0.00006855038,0.00008499941],"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":[0.00004284395,0.000005128652,0.0022199,0.0001012404,0.00004907262,0.000006529612,0.00007755279,0.9900456,0.00356767,0.0001674226,0.00008336695,0.00363367],"study_design_scores_gemma":[0.0004685623,0.0000586319,0.005533028,0.0004028938,0.00003752917,0.00006859979,0.00003518958,0.9908828,0.002091042,0.00006811443,0.0001953745,0.0001582626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326733,0.0001614936,0.1662291,0.00001556904,0.0006106188,0.00003801279,6.798139e-7,0.0002282606,0.0000430686],"genre_scores_gemma":[0.998127,0.0002950758,0.001117399,0.00001823142,0.0003660567,0.000001828821,0.000004767519,0.00004526702,0.00002433758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1654538,"threshold_uncertainty_score":0.6032475,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399388501","doi":"10.1080/19401493.2024.2362241","title":"Design of a model predictive control methodology for integration of retrofitted air‐based PV/T system in school buildings","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Université de Sherbrooke; Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Model predictive control; Architectural engineering; Engineering; Control (management); Control engineering; Computer science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04181426942892558,"gpt":0.2893461218040521,"spread":0.2475318523751265,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001389128,0.0001335893,0.0003708155,0.0006933169,0.00002750834,0.00001269244,0.0001120156,0.0001558566,0.000001765867],"category_scores_gemma":[0.0001603595,0.0001225274,0.00009978314,0.0004007561,0.00002114193,0.0005298457,0.00000550535,0.0002200276,5.492998e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002672636,"about_ca_system_score_gemma":0.0001037436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002246872,"about_ca_topic_score_gemma":3.218125e-7,"domain_scores_codex":[0.9986675,0.0000716912,0.0008144063,0.0001049476,0.0002012631,0.0001401496],"domain_scores_gemma":[0.9987506,0.0005070818,0.0003059073,0.00009390001,0.0003083246,0.00003424008],"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":[0.0005774842,0.00001301681,0.0002910891,0.0005112935,0.00006155583,5.386714e-7,0.0001567268,0.9455042,0.05063799,0.0004868011,0.00001179803,0.001747499],"study_design_scores_gemma":[0.0009447319,0.0002898835,0.0002623501,0.001234123,0.00008319046,0.000004431174,0.00003432334,0.9521929,0.04468971,0.0001693197,0.000004010896,0.0000910092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3373365,0.0001717649,0.6620206,0.000008447311,0.000232916,0.0001787118,0.0000042989,0.00004050353,0.000006312927],"genre_scores_gemma":[0.8262321,0.00002276898,0.1736338,0.000006359862,0.00006270182,0.00001253562,0.000003317227,0.00002395225,0.000002526065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4888956,"threshold_uncertainty_score":0.4996523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076520128","doi":"10.1080/19401490802559409","title":"A demonstration of the effectiveness of inter-program comparative testing for diagnosing and repairing solution and coding errors in building simulation programs","year":2009,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Coding (social sciences); Computer science; Construct (python library); Reliability engineering; Computer engineering; Engineering; Programming language; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03150123061377279,"gpt":0.3029270747721755,"spread":0.2714258441584027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009625287,0.0001051954,0.0002628511,0.0001612295,0.0000636762,0.00002909017,0.00004514073,0.00007805948,1.149483e-7],"category_scores_gemma":[0.0001202246,0.00008470973,0.00004242537,0.0002289507,0.00003966613,0.0004456796,0.0000124462,0.0001148171,5.154568e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006930297,"about_ca_system_score_gemma":0.00001146171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004016033,"about_ca_topic_score_gemma":0.000001096272,"domain_scores_codex":[0.9990716,0.00006478046,0.0005516101,0.00008278499,0.0001092699,0.0001199536],"domain_scores_gemma":[0.9988117,0.0005747913,0.0003828731,0.00005063801,0.0001592141,0.00002083977],"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":[0.0001057392,0.00002491525,0.02175664,0.000718754,0.00001359304,1.636438e-7,0.0002838727,0.8496856,0.1045081,0.00002254569,9.846621e-8,0.02287994],"study_design_scores_gemma":[0.0005977987,0.0003842807,0.05269689,0.002775818,0.00003360557,0.000005937387,0.00003565643,0.9000458,0.04309275,0.0002539135,0.000002556414,0.0000749676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670732,0.0003606039,0.03198422,0.000004574881,0.0001552365,0.0003792953,5.218488e-7,0.00002038196,0.0000219561],"genre_scores_gemma":[0.9904679,0.00004564318,0.009436641,0.000001015048,0.000035529,0.000003784791,7.987992e-7,0.000008480976,1.789541e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06141538,"threshold_uncertainty_score":0.3454363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396229344","doi":"10.1080/19401493.2024.2346833","title":"Retraining surrogate models in increasingly restricted design spaces: a novel building energy model calibration method","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Surrogate model; Latin hypercube sampling; Calibration; Energy (signal processing); Building energy simulation; Computer science; Mathematical optimization; Algorithm; Polynomial; Mathematics; Statistics; Energy performance; Monte Carlo method","retraction":null,"screen_n_in":null,"score":{"opus":0.04002775762091131,"gpt":0.2757304122420546,"spread":0.2357026546211433,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009929176,0.0002228258,0.0002880197,0.0009388303,0.00009218881,0.0001968004,0.000163796,0.0001988553,0.000003941656],"category_scores_gemma":[0.00005934007,0.0002225673,0.00008723782,0.0009913496,0.00001438969,0.002406015,0.00002223657,0.0004008826,8.664951e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003210243,"about_ca_system_score_gemma":0.0001195023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001909551,"about_ca_topic_score_gemma":0.000002636525,"domain_scores_codex":[0.9983656,0.00006524151,0.0007363781,0.0001893614,0.0003597745,0.0002836705],"domain_scores_gemma":[0.9992138,0.0002895702,0.0001770106,0.000129387,0.0001157602,0.00007454651],"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":[0.00007588088,0.00001592528,0.00004144087,0.00007286297,0.00003799368,0.000006211624,0.0004215121,0.9722831,0.01622098,0.002472247,0.00001896987,0.008332912],"study_design_scores_gemma":[0.0004458065,0.00006380009,0.00003341753,0.0007551399,0.00003692607,0.00003815803,0.00001835956,0.991371,0.005162743,0.0017972,0.00004813219,0.0002292553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2700056,0.0003496751,0.7290536,0.00002105223,0.0003081397,0.00005288723,0.000001300122,0.0001445373,0.00006316144],"genre_scores_gemma":[0.7151067,0.0001912295,0.2844839,0.00001493612,0.000137955,0.000003636194,0.000004171227,0.00004713806,0.00001038374],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4451011,"threshold_uncertainty_score":0.9076032,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388454534","doi":"10.1080/19401493.2023.2276711","title":"An empirical review of methods to assess overheating in buildings in the context of changes to extreme heat events","year":2023,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Overheating (electricity); Extreme heat; Extreme weather; Morphing; Climate change; Environmental science; Meteorology; Context (archaeology); Climatology; Climate model; Computer science; Geography; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.1059593002818669,"gpt":0.4105159635395943,"spread":0.3045566632577274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002493923,0.0001070333,0.0003254305,0.0005444631,0.00002674303,0.000009357678,0.0002226956,0.00005877221,0.000005582823],"category_scores_gemma":[0.0001758601,0.00008750158,0.00004947291,0.001348948,0.000006625026,0.0003197011,0.00002286337,0.0001753393,1.943346e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009242859,"about_ca_system_score_gemma":0.00001979242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001088599,"about_ca_topic_score_gemma":0.00001052362,"domain_scores_codex":[0.9987095,0.000103785,0.0006591538,0.00009006524,0.0002733969,0.0001640992],"domain_scores_gemma":[0.9993175,0.0002208111,0.0001490811,0.000145123,0.0001243691,0.00004313748],"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":[0.00002589606,0.00002006579,0.01637318,0.0005130083,0.00000709001,6.094511e-7,0.0008486574,0.9481038,0.008825489,0.0000153877,0.00004229652,0.02522451],"study_design_scores_gemma":[0.0002598455,0.0001942764,0.02941747,0.005076515,0.00001312324,0.00000422337,0.0001466929,0.956065,0.008276558,0.00001985982,0.0004224809,0.0001039335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415302,0.0004522145,0.05740741,0.0002448232,0.0001674438,0.0001657563,9.185908e-7,0.00001666355,0.00001451312],"genre_scores_gemma":[0.9725497,0.001000789,0.0261095,0.000254393,0.00005890222,0.000007096865,0.000002309496,0.00001589133,0.000001447562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03129791,"threshold_uncertainty_score":0.3568211,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200437797","doi":"10.1080/19401493.2021.2001622","title":"On the simulation of occupant-centric control for building operations","year":2021,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Concordia University","funders":"","keywords":"Architectural engineering; Control (management); Computer science; Engineering; Simulation; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.01557789793123544,"gpt":0.256163265030206,"spread":0.2405853670989706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004292662,0.0001205361,0.0002062783,0.0001760933,0.0001716141,0.00004460502,0.0001201693,0.00007983817,0.00002168521],"category_scores_gemma":[0.0002700702,0.00009577772,0.0001199303,0.0003366822,0.00001606662,0.0003946018,0.000008742098,0.0001616316,2.727179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000857784,"about_ca_system_score_gemma":0.00005138641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.860681e-7,"about_ca_topic_score_gemma":5.594134e-7,"domain_scores_codex":[0.998943,0.00003445795,0.0005389699,0.00008675841,0.0002443014,0.0001524758],"domain_scores_gemma":[0.9985178,0.0006479878,0.0001874372,0.0001470416,0.000465773,0.00003394194],"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":[0.00006783265,0.0000269328,0.0003457668,0.00004278089,0.00005656033,4.761515e-7,0.00006494438,0.9891347,0.00486908,0.002564906,0.00003117786,0.002794828],"study_design_scores_gemma":[0.0007883945,0.00009243767,0.0004606479,0.0001450561,0.00005550724,0.000004838902,0.00001439254,0.9816512,0.01611413,0.000297899,0.0002768771,0.00009864615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5146842,0.00009270749,0.4847684,0.00004110463,0.0002924267,0.00008241436,0.000003004277,0.0000164977,0.00001921128],"genre_scores_gemma":[0.9936228,0.00005867875,0.006009572,0.00006399685,0.0001993676,0.000005085692,0.000005253974,0.00002281051,0.00001244295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4789386,"threshold_uncertainty_score":0.3905702,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408278156","doi":"10.1080/19401493.2025.2474043","title":"Modelling thermostat use behaviour in multi-zone residential buildings: a real-world data study and simulation framework for peak demand management","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; Carleton University; Concordia University","funders":"Norsk Hydro","keywords":"Thermostat; Demand response; Demand reduction; Environmental science; Peak demand; Computer science; Simulation; Environmental economics; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.05434524371454835,"gpt":0.3366643576125107,"spread":0.2823191138979624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007987446,0.0001804666,0.0002745325,0.0007259804,0.0001492936,0.0001497107,0.0002274606,0.00007815847,0.000001367966],"category_scores_gemma":[0.000041535,0.0001856065,0.00003899572,0.0005172173,0.00001831176,0.001307682,0.00008865412,0.000252169,5.726224e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360504,"about_ca_system_score_gemma":0.00001589648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004314812,"about_ca_topic_score_gemma":0.00007215184,"domain_scores_codex":[0.9986207,0.00003690656,0.0006840315,0.0002258326,0.0002225224,0.0002099829],"domain_scores_gemma":[0.9990155,0.0002911758,0.0002449529,0.0002892215,0.0001199103,0.00003920964],"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":[0.0002142436,0.00008537433,0.0425427,0.0001004192,0.00007839288,0.000002885282,0.000284948,0.9501651,0.00002799853,0.0002161395,0.000005911954,0.006275876],"study_design_scores_gemma":[0.001334685,0.00007205005,0.02764848,0.0004954507,0.0001387393,8.20317e-7,0.000116766,0.9696952,0.00006379397,0.0002208571,0.00005089462,0.0001622725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5019077,0.00005580378,0.4975916,0.000008342899,0.0001722368,0.0002323116,0.000002041866,0.00002689883,0.000002991352],"genre_scores_gemma":[0.8749811,0.0002951439,0.1245666,0.000009964666,0.00006621464,0.000008247844,0.00001121274,0.00002834875,0.0000331939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3730734,"threshold_uncertainty_score":0.7568815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389883762","doi":"10.1080/19401493.2023.2290103","title":"Comparing overheating risk and mitigation strategies for two Canadian schools by using building simulation calibrated with measured data","year":2023,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University; Université de Sherbrooke","funders":"","keywords":"Overheating (electricity); Environmental science; Building envelope; Thermal comfort; Roof; Meteorology; Thermal; Engineering; Civil engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.04154429524936274,"gpt":0.2845156606565959,"spread":0.2429713654072332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007412251,0.0001782246,0.0002365239,0.0004118001,0.0003902481,0.0002454642,0.0001589466,0.00009118374,0.00000162776],"category_scores_gemma":[0.00008123901,0.0001758093,0.00002696435,0.000540542,0.00001933736,0.002567213,0.00002307879,0.000248171,1.22594e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025592,"about_ca_system_score_gemma":0.0001357383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006806656,"about_ca_topic_score_gemma":0.0004405924,"domain_scores_codex":[0.9987744,0.00003457579,0.0004706542,0.000174881,0.0002597004,0.0002857858],"domain_scores_gemma":[0.9990323,0.0001585537,0.0003040885,0.0001729871,0.0002131569,0.000118913],"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":[0.00005493165,0.000003257614,0.02007644,0.0000646595,0.00005427152,6.453308e-7,0.0001053392,0.9728262,0.003577066,0.0000334303,0.0000320283,0.003171691],"study_design_scores_gemma":[0.0008637643,0.00005552816,0.001860842,0.0003249008,0.00007822121,0.000006877909,0.0001077485,0.9948962,0.001387931,0.0001092592,0.0001012687,0.0002075027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6272352,0.00007454365,0.3723689,0.000006807995,0.0001060898,0.0001136966,0.00001110048,0.00007628841,0.000007423866],"genre_scores_gemma":[0.9820044,0.00003816373,0.01764975,0.000008554794,0.0001600663,0.000002576387,0.00008754575,0.00004704599,0.000001907908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3547692,"threshold_uncertainty_score":0.7169296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405107717","doi":"10.1080/19401493.2024.2435908","title":"Towards codification of thermal resilience upgrades in midrise residential buildings: a Canadian archetype energy model approach","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University","funders":"","keywords":"Archetype; Architectural engineering; Resilience (materials science); Energy (signal processing); Key (lock); Engineering; Civil engineering; Environmental science; Computer science; Computer security; Physics; Art","retraction":null,"screen_n_in":null,"score":{"opus":0.01407801597374065,"gpt":0.2379244934101253,"spread":0.2238464774363846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004363064,0.0001291224,0.0001848599,0.0007952566,0.00005217604,0.00005321036,0.0001888406,0.0001213643,0.000005335432],"category_scores_gemma":[0.00002770474,0.0001256563,0.00006961793,0.0005635588,0.00003164537,0.0007421656,0.00001225667,0.0002342685,1.643615e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551035,"about_ca_system_score_gemma":0.0002041494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006274812,"about_ca_topic_score_gemma":0.000231137,"domain_scores_codex":[0.9988417,0.00002343466,0.000532652,0.0001226405,0.0002734683,0.0002061034],"domain_scores_gemma":[0.9995451,0.0000364529,0.0001138292,0.0001205801,0.0001083728,0.00007564821],"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":[0.00003364348,0.00001247698,0.0005327594,0.0001163777,0.00001949411,0.000002149888,0.0004117066,0.978569,0.009275009,0.001333333,0.00003483926,0.009659227],"study_design_scores_gemma":[0.0001673618,0.00003571411,0.001553598,0.0002687192,0.0000194943,0.00001015814,0.00002137924,0.989661,0.007766404,0.0002405496,0.0001343307,0.0001212922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.746043,0.0005735559,0.2526905,0.00002518906,0.0002148615,0.00004087834,0.000001833367,0.00003331433,0.0003769345],"genre_scores_gemma":[0.986424,0.000326852,0.01306289,0.000008585983,0.0001173136,0.000003440684,0.000005677341,0.00002646489,0.00002476743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2403811,"threshold_uncertainty_score":0.5124114,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406919278","doi":"10.1080/19401493.2025.2453537","title":"Quantifying and simulating the weather forecast uncertainty for advanced building control","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; KU Leuven; European Commission; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Meteorology; Numerical weather prediction; Weather Research and Forecasting Model; Environmental science; Weather prediction; Computer science; Climatology; Geography; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.01444562852536602,"gpt":0.2731951713551599,"spread":0.2587495428297938,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005786761,0.0001450777,0.0002175281,0.000183758,0.0002997253,0.00007402861,0.0001283276,0.00007952505,0.00000273601],"category_scores_gemma":[0.0001132428,0.0001107137,0.00008173965,0.000235286,0.00002692573,0.000474532,0.00001564739,0.0001923969,4.637029e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008799464,"about_ca_system_score_gemma":0.00002293727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000011771,"about_ca_topic_score_gemma":0.000001649888,"domain_scores_codex":[0.9990861,0.00001975955,0.0004580008,0.0001002008,0.0001368466,0.0001990644],"domain_scores_gemma":[0.9989796,0.0005076156,0.0002011418,0.0001096,0.000172235,0.00002982643],"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":[0.0000990498,0.000005318783,0.002739659,0.00008763381,0.00005705068,1.740426e-7,0.00009270231,0.9439933,0.003150905,0.0007850874,0.00001207535,0.04897703],"study_design_scores_gemma":[0.001187257,0.00005836374,0.0008353636,0.0003174089,0.00005983741,0.000004271709,0.00004678307,0.9941142,0.00174392,0.0003335972,0.001184153,0.0001148276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5564447,0.0003423726,0.442628,0.00005590246,0.0003406303,0.0001224119,8.8024e-7,0.00003237022,0.0000327431],"genre_scores_gemma":[0.9872433,0.00008529809,0.01240423,0.00006889585,0.0001499633,0.000008221404,0.000001153541,0.00002229239,0.00001665311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4307986,"threshold_uncertainty_score":0.4514772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283123130","doi":"10.1080/19401493.2022.2079827","title":"Leveraging data: a new frontier in building modelling and advanced control","year":2022,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Frontier; Computer science; Architectural engineering; Engineering; Industrial engineering; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.02135407380164454,"gpt":0.2360298747087368,"spread":0.2146758009070923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005364948,0.0001158492,0.0002056764,0.0003207085,0.0001469728,0.00003927206,0.0002059503,0.00003618388,0.00001132897],"category_scores_gemma":[0.00001531377,0.0001278675,0.00002673986,0.0002552823,0.000007680411,0.001134319,0.00006591867,0.000358063,5.283878e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577349,"about_ca_system_score_gemma":0.00003668419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000657352,"about_ca_topic_score_gemma":5.385265e-7,"domain_scores_codex":[0.9989976,0.00002530228,0.000425883,0.0001289089,0.0002426188,0.0001796698],"domain_scores_gemma":[0.9995378,0.00006393498,0.0001617618,0.0001514112,0.00003370049,0.00005138729],"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":[0.00007121851,0.000008348534,0.002801295,0.00001937771,0.00001935733,0.000002655253,0.0002219602,0.9777249,0.000671504,0.00002779095,0.0000253788,0.01840619],"study_design_scores_gemma":[0.001258202,0.00004501707,0.0004754822,0.0000745884,0.00001904841,0.00002258107,0.00004800953,0.9962318,0.0001605372,0.0001674149,0.001361281,0.0001360616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5318897,0.0005879211,0.4671451,0.00001979211,0.0002844972,0.00004013791,9.44854e-7,0.00002134388,0.00001059136],"genre_scores_gemma":[0.9628512,0.0001740053,0.03676237,0.00003100106,0.0001379747,0.000001919107,0.00000428816,0.00002468499,0.00001251107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4309616,"threshold_uncertainty_score":0.5214286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405801104","doi":"10.1080/19401493.2024.2440418","title":"Systematic refinement of surrogate modelling procedure for useful application to building energy problems","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Building energy simulation; Computer science; Energy (signal processing); Applied mathematics; Mathematics; Energy performance; Statistics","retraction":null,"screen_n_in":null,"score":{"opus":0.01243222311421427,"gpt":0.2380405194399428,"spread":0.2256082963257285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005809176,0.0001523065,0.0002949656,0.0004182791,0.00006686686,0.00005577754,0.0001419296,0.00008485137,0.000001678643],"category_scores_gemma":[0.00002443135,0.0001372481,0.0001043578,0.000434855,0.000007106223,0.0004745139,0.00001375607,0.0001053721,2.457324e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001553857,"about_ca_system_score_gemma":0.00003434002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002273075,"about_ca_topic_score_gemma":0.000001012629,"domain_scores_codex":[0.9985918,0.00001235926,0.0008211195,0.0001309009,0.0002698545,0.0001739216],"domain_scores_gemma":[0.9992252,0.0001137491,0.0002310928,0.000129135,0.0002466552,0.00005415599],"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":[0.00002457722,0.00001238814,0.0000432807,0.009995942,0.00007639506,2.088806e-7,0.0001982189,0.9804242,0.006245673,0.001352387,0.00001989768,0.001606872],"study_design_scores_gemma":[0.000179789,0.0001088877,0.000009342276,0.006031424,0.0000821163,0.000007973033,0.00001146991,0.9805653,0.01215431,0.0002858361,0.0004272652,0.0001362716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3107013,0.0005850428,0.6881217,0.00001869796,0.0002752803,0.0002189921,0.000001558015,0.00006656571,0.00001095094],"genre_scores_gemma":[0.9702234,0.0001114127,0.02935562,0.000009392796,0.0001790791,0.00005287889,0.000005003899,0.00004336436,0.00001979965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6595222,"threshold_uncertainty_score":0.5596815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408238067","doi":"10.1080/19401493.2025.2472305","title":"accim: a Python library for adaptive setpoint temperatures in building performance simulations","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"CYTED Ciencia y Tecnología para el Desarrollo","keywords":"Python (programming language); Setpoint; Computer science; Engineering; Simulation; Environmental science; Programming language; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.009812100943642493,"gpt":0.2471215629586192,"spread":0.2373094620149767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932554,0.0002103522,0.0002990915,0.0007932376,0.0001747369,0.00009085643,0.0002072401,0.0001480198,0.00001155698],"category_scores_gemma":[0.00005341142,0.0002076574,0.0001027353,0.0007630949,0.00002077477,0.001822558,0.00003264275,0.0003587814,2.296393e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001713757,"about_ca_system_score_gemma":0.00008532282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.96125e-7,"about_ca_topic_score_gemma":0.000001105705,"domain_scores_codex":[0.9986599,0.0000251383,0.0007017883,0.0001527095,0.0001878384,0.0002725918],"domain_scores_gemma":[0.9992179,0.0002405576,0.0002013802,0.0001525439,0.0001399037,0.00004769519],"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":[0.0001895162,0.00002699579,0.00928825,0.0001391445,0.00004266684,9.034932e-7,0.0001198632,0.9785659,0.002205471,0.0005583406,0.0001186293,0.008744336],"study_design_scores_gemma":[0.0009487987,0.0001169507,0.0068473,0.0006981006,0.00003248363,0.00000530875,0.00002205222,0.9762341,0.01284865,0.0003706007,0.001677648,0.0001979895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8627369,0.0003134385,0.1357655,0.00005984785,0.0006554316,0.000208349,0.000005636365,0.0001137281,0.0001411335],"genre_scores_gemma":[0.9716198,0.0001610499,0.02781527,0.00006566771,0.0002060307,0.00001151322,0.00001252951,0.00004321131,0.00006496811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1088828,"threshold_uncertainty_score":0.8468022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409903401","doi":"10.1080/19401493.2025.2496659","title":"Development and implementation of a data-driven model predictive controller for hydronic floors: an experimental case study","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"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":"Model predictive control; Controller (irrigation); Engineering; Environmental science; Computer science; Control theory (sociology); Control (management); Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.03122038409452411,"gpt":0.3387829283329813,"spread":0.3075625442384572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000297933,0.00008960425,0.0001630577,0.0001811594,0.00009659576,0.00002078229,0.00009014228,0.00003599505,0.000001300942],"category_scores_gemma":[0.000004540828,0.00008616545,0.00001837167,0.00008915812,0.000009218401,0.0009246293,0.00002887958,0.00006329032,9.533961e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009504615,"about_ca_system_score_gemma":0.00005619088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003990084,"about_ca_topic_score_gemma":0.00001030794,"domain_scores_codex":[0.9992513,0.00001177709,0.0004357894,0.00009560207,0.0001155824,0.00008991338],"domain_scores_gemma":[0.9995982,0.00003239398,0.0001531636,0.00009505689,0.00009526598,0.00002590953],"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":[0.00009630078,0.00006210333,0.001299922,0.00003391122,0.00009676006,0.000001308469,0.001826772,0.9793808,0.001311947,0.00002703646,0.000004387409,0.01585872],"study_design_scores_gemma":[0.002009824,0.0002423855,0.0002935346,0.00004726698,0.0000643419,0.00001518102,0.002060052,0.9891115,0.006052434,0.00001239936,0.00001907567,0.00007200395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6897717,0.00007932285,0.3098703,0.000001561016,0.00006192076,0.0001960558,0.000003258632,0.00001308336,0.000002749083],"genre_scores_gemma":[0.9672397,0.0000119946,0.03267482,0.000004818787,0.00003298264,0.00001298781,0.00001004962,0.00001034738,0.000002276433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.277468,"threshold_uncertainty_score":0.3513725,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400041578","doi":"10.1080/19401493.2024.2365381","title":"Development and testing of an automated tool to leverage building energy models for thermal resilience analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leverage (statistics); Resilience (materials science); Building energy simulation; Computer science; Engineering; Architectural engineering; Efficient energy use; Energy performance; Machine learning; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.01958978104892157,"gpt":0.2679940705742749,"spread":0.2484042895253534,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004343034,0.0001175512,0.0002037411,0.0005476448,0.00009155599,0.00006744609,0.0001003968,0.00006125387,0.000001467805],"category_scores_gemma":[0.0000294774,0.0001103911,0.00005055271,0.000738747,0.000008933421,0.0009110356,0.00001782613,0.00007668689,2.87446e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008237801,"about_ca_system_score_gemma":0.00004154893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002834204,"about_ca_topic_score_gemma":0.000001581193,"domain_scores_codex":[0.9990385,0.00001035616,0.0004892924,0.0001193273,0.0001918875,0.0001507021],"domain_scores_gemma":[0.999499,0.0001122144,0.0001073059,0.00008302577,0.0001460702,0.0000523344],"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":[0.00002526202,0.000006836345,0.0001582903,0.0001011337,0.000108979,9.622996e-7,0.0003010342,0.8988159,0.02188171,0.0002401996,0.000001615321,0.0783581],"study_design_scores_gemma":[0.0001262162,0.0000722348,0.001315967,0.000243079,0.00009266426,0.000005265324,0.00001077497,0.9651514,0.03270037,0.00005339444,0.00009721308,0.0001314162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5547771,0.00009658874,0.444921,0.000002502972,0.00008117127,0.0000291352,6.872603e-7,0.00008279355,0.000008930607],"genre_scores_gemma":[0.7698059,0.000009487073,0.2300936,0.000007119968,0.00005717959,0.000003336066,0.000002110318,0.00001681623,0.000004456296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2150287,"threshold_uncertainty_score":0.4501619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411616942","doi":"10.1080/19401493.2025.2519183","title":"Energy use metrics for Canada’s housing code","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Architectural engineering; Building code; Code (set theory); Energy (signal processing); Computer science; Environmental economics; Business; Engineering; Mathematics; Economics; Statistics; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.01425787817470004,"gpt":0.2365936401433305,"spread":0.2223357619686305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001664151,0.00009166206,0.0001463361,0.000308167,0.0001058371,0.00004773534,0.00009331234,0.00006216235,0.000001856256],"category_scores_gemma":[0.00006178668,0.0000916373,0.00004793978,0.0003630671,0.00000634445,0.0004757134,0.000009223632,0.00009234657,1.302204e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002898631,"about_ca_system_score_gemma":0.000160693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007551825,"about_ca_topic_score_gemma":0.002653948,"domain_scores_codex":[0.9992983,0.000007521965,0.0003436596,0.00005842453,0.0001543301,0.0001377104],"domain_scores_gemma":[0.9993854,0.0001761946,0.0001233478,0.00007971419,0.0002045211,0.00003082902],"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":[0.00002654711,0.000005014055,0.001853333,0.00003985853,0.00003626927,4.484416e-7,0.000008865485,0.9785131,0.0003099463,0.000430321,0.000694799,0.01808146],"study_design_scores_gemma":[0.0003126331,0.0000217566,0.0006265739,0.0000995715,0.00003240927,0.000001749711,0.00000446112,0.9702799,0.00591073,0.00006606855,0.02255705,0.00008710309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3969524,0.0001448217,0.6020538,0.0000230413,0.0007311786,0.0000250746,0.000001721634,0.00002404759,0.00004398207],"genre_scores_gemma":[0.9863796,0.0001234536,0.01320249,0.00008335007,0.0001145176,0.000001498869,0.000003645626,0.00001594899,0.00007554679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5894272,"threshold_uncertainty_score":0.3736861,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412879807","doi":"10.1080/19401493.2025.2540927","title":"Adapting building performance simulation for climate resilience: accounting for urban microclimates and future climates","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Université de Sherbrooke","funders":"","keywords":"Microclimate; Resilience (materials science); Environmental science; Environmental resource management; Climate change; Architectural engineering; Urban resilience; Geography; Environmental planning; Engineering; Civil engineering; Urban planning; Ecology","retraction":null,"screen_n_in":null,"score":{"opus":0.007123918521105777,"gpt":0.2565846471534698,"spread":0.2494607286323641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009737388,0.0002574555,0.0003458764,0.0004536828,0.0005917377,0.0001702637,0.0001785665,0.0001881071,0.000002577553],"category_scores_gemma":[0.0001006148,0.0002540108,0.0001169151,0.0003667164,0.00003069632,0.00146004,0.00003923159,0.0002203183,1.158418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001441479,"about_ca_system_score_gemma":0.00003425339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.712475e-7,"about_ca_topic_score_gemma":3.792867e-7,"domain_scores_codex":[0.9983084,0.00001478107,0.000843966,0.0002112078,0.0001920254,0.0004296516],"domain_scores_gemma":[0.9984837,0.000496228,0.0004421922,0.0001387681,0.0003889599,0.00005020234],"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":[0.0002681402,0.00001172741,0.01498823,0.0009793432,0.0000425891,1.291903e-7,0.0001549675,0.9529178,0.005655811,0.0003549042,0.00003724384,0.02458915],"study_design_scores_gemma":[0.001294271,0.0001243181,0.003177395,0.000641358,0.00009313097,0.00000498473,0.00009074654,0.9818131,0.009389829,0.000102423,0.003019975,0.0002485138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7821388,0.0007805479,0.2158242,0.00004762304,0.000766289,0.0003016726,0.000005404006,0.00009671156,0.00003869179],"genre_scores_gemma":[0.9469101,0.0009338617,0.05128286,0.00004710178,0.0007369122,0.00002151114,0.00001276334,0.00004414636,0.00001076797],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1647713,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411943015","doi":"10.1080/19401493.2025.2524379","title":"Development of a contextual bandits-based thermal mass preconditioning algorithm for dynamic electricity pricing","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal; Dynamic pricing; Electricity; Computer science; Mathematical optimization; Algorithm; Environmental science; Meteorology; Economics; Mathematics; Engineering; Physics; Microeconomics; Electrical engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.00840976397016027,"gpt":0.2526641460882754,"spread":0.2442543821181151,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004957087,0.0001190096,0.0002150789,0.0004231311,0.0001068229,0.00002266734,0.0001136556,0.00005276623,0.000006675637],"category_scores_gemma":[0.00003195299,0.0001188804,0.00007264413,0.0002573412,0.00001103766,0.0002867388,0.000009894667,0.0001249839,2.781247e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035049,"about_ca_system_score_gemma":0.00008415267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.578809e-7,"about_ca_topic_score_gemma":8.070785e-7,"domain_scores_codex":[0.9989313,0.00001195965,0.0006066729,0.00007927743,0.0001929466,0.0001777683],"domain_scores_gemma":[0.9993282,0.0001448273,0.0002464686,0.00007475889,0.0001809789,0.00002474742],"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":[0.00002966308,0.00001394639,0.0005910429,0.0001392945,0.00009040174,2.067316e-7,0.00007969283,0.8789591,0.009489075,0.00001895114,0.000009377524,0.1105792],"study_design_scores_gemma":[0.0009210342,0.00006052188,0.0128246,0.0002867199,0.00003990877,5.34394e-7,0.0000212043,0.9294261,0.05592159,0.00002001077,0.0003782921,0.0000994771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4839372,0.0000465809,0.5155916,0.000004537721,0.0002684635,0.00008843176,7.765051e-7,0.00001983363,0.0000425102],"genre_scores_gemma":[0.8678107,0.000005895177,0.1320686,0.0000128204,0.00006187472,0.000008005802,0.000005216207,0.00001397221,0.00001299941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3838734,"threshold_uncertainty_score":0.4847803,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409377978","doi":"10.1080/19401493.2025.2487459","title":"Using an inverse surrogate model for determining building thermal characteristics","year":2025,"lang":"en","type":"article","venue":"Journal of Building Performance Simulation","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Surrogate model; Inverse; Thermal comfort; Thermal; Computer science; Environmental science; Applied mathematics; Mathematics; Architectural engineering; Engineering; Mathematical optimization; Meteorology; Physics; Geometry","retraction":null,"screen_n_in":null,"score":{"opus":0.04362607686612917,"gpt":0.3013464648310222,"spread":0.257720387964893,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000404803,0.000150081,0.0002233149,0.0003231233,0.0001798262,0.00006747855,0.0001514531,0.0001097772,0.000002212862],"category_scores_gemma":[0.00004017882,0.0001548717,0.00008028616,0.0001995899,0.00001647884,0.001041025,0.00001819423,0.0001731466,5.946992e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460307,"about_ca_system_score_gemma":0.00006025414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.90012e-7,"about_ca_topic_score_gemma":5.722191e-7,"domain_scores_codex":[0.9990301,0.00001485993,0.0005074245,0.0001002336,0.0001384977,0.0002088701],"domain_scores_gemma":[0.999338,0.00006839669,0.0002269506,0.0001215115,0.0001944842,0.00005061903],"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":[0.00005300441,0.00001502864,0.001999558,0.00008544019,0.00003189337,5.912996e-7,0.0001447491,0.9622575,0.02064474,0.00008972197,0.00000343769,0.01467435],"study_design_scores_gemma":[0.0005159479,0.0000455772,0.0005113266,0.000293272,0.00006339077,0.000004642744,0.00001187555,0.9920636,0.006184209,0.0001093122,0.00004679232,0.0001500726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5216277,0.00001934569,0.4779047,0.000003129462,0.000350685,0.0000459389,0.000001123387,0.00003549938,0.00001190487],"genre_scores_gemma":[0.8988577,0.00003058378,0.100854,0.00003424578,0.0001758019,0.000002227505,0.000003065011,0.0000278582,0.0000145454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3772299,"threshold_uncertainty_score":0.6315486,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}