{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":94,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":94,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"7e1e86f38366","filters":{"venue":"Building Simulation Conference proceedings"}},"results":[{"id":"W2148273392","doi":"10.26868/25222708.2013.978","title":"Computational Optimisation For Zero Energy Buildings Design: Interviews Results With Twenty Eight International Expert","year":2013,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":47,"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":"Computer science; Zero-energy building; Selection (genetic algorithm); Efficient energy use; Systems engineering; Architectural engineering; Industrial engineering; Artificial intelligence; Engineering","authors":[{"name":"Shady Attia","is_ca":false},{"name":"Mohamed Hamdy","is_ca":false},{"name":"William O’Brien","is_ca":true},{"name":"Salvatore Carlucci","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03101472567016757,"gpt":0.2557635486955002,"spread":0.2247488230253326,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01465504,0.0006533988,0.000554698,0.0009368254,0.002291955,0.002458789,0.001062451,0.00122677,0.003417964],"category_scores_gemma":[0.03516121,0.0005938236,0.0004050657,0.0008566419,0.002584952,0.002348597,0.00232837,0.001977743,0.0006404024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002500114,"about_ca_system_score_gemma":0.002196691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570284,"about_ca_topic_score_gemma":0.003297571,"domain_scores_codex":[0.987914,0.008986008,0.0005365406,0.0006003646,0.001337711,0.0006252954],"domain_scores_gemma":[0.967261,0.02800489,0.0008294858,0.00074383,0.002249707,0.0009109824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003234506,0.0005958737,0.0114361,0.00087313,0.00004606729,0.001636436,0.8477035,0.009854217,0.007974771,0.008076963,0.005274381,0.1062052],"study_design_scores_gemma":[0.00005256811,0.0008447611,0.01229461,0.0009369157,0.00006341565,0.001397564,0.8249158,0.0194401,0.01071029,0.004042937,0.1250911,0.0002098201],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327235,0.0009353345,0.03914585,0.001745453,0.00006193659,0.0002335958,0.00008714889,0.00006963764,0.02499754],"genre_scores_gemma":[0.9796996,0.000843255,0.01189391,0.0003750725,0.0000152154,0.0001302777,0.00008302715,0.00005715577,0.006902456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01465504,"threshold_uncertainty_score":0.07750416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2964114610","doi":"10.26868/25222708.2017.351","title":"MPCPy: an Open-Source Software Platform for Model Predictive Control in Buildings","year":2017,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Model predictive control; Usability; Schedule; Computer science; Building management system; Control (management); Software; Grid; Demand response; PID controller; Architecture; Software architecture; Systems engineering; Quality (philosophy); Architectural engineering; Control engineering; Engineering; Electricity; Human–computer interaction; Operating system; Temperature control","authors":[{"name":"David H. Blumand Michael Wetter","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03562850275045829,"gpt":0.3011919641641357,"spread":0.2655634614136774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007466161,0.001229495,0.0006006523,0.0005909109,0.0003886488,0.0008944708,0.00236268,0.001101526,0.02010613],"category_scores_gemma":[0.002759304,0.0007230386,0.00100368,0.0004929531,0.0004923426,0.001129456,0.002112885,0.0021814,0.007309888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003816352,"about_ca_system_score_gemma":0.001276559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003699498,"about_ca_topic_score_gemma":0.00288946,"domain_scores_codex":[0.9994536,0.00008463133,0.00004357025,0.0000903913,0.0002625105,0.0000652576],"domain_scores_gemma":[0.9991228,0.0003884757,0.00006584102,0.0001632946,0.0001667613,0.00009287312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001076552,0.0007446947,0.005032699,0.001779103,0.0004209824,0.001024845,0.0008181936,0.4531309,0.04021322,0.03057031,0.1357499,0.3294386],"study_design_scores_gemma":[0.0002870824,0.000172351,0.001907247,0.0001280903,0.00006121773,0.0002147985,0.00004623293,0.8167564,0.02477726,0.01233242,0.143189,0.0001279296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.00900393,0.0002652352,0.6843202,0.0001880032,0.0001602598,0.0002030772,0.002520022,0.2958217,0.007517647],"genre_scores_gemma":[0.3222568,0.001331169,0.5616357,0.0005787274,0.000183734,0.001561044,0.02162614,0.06845803,0.02236852],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02010613,"threshold_uncertainty_score":0.06726176,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294531202","doi":"10.26868/25222708.2017.252","title":"The Effect of Zone Level Occupancy Characteristics on Adaptive Controls","year":2017,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Occupancy; Setback; HVAC; Granularity; Scheduling (production processes); Computer science; Environmental science; Simulation; Arrival time; Real-time computing; Statistics; Air conditioning; Architectural engineering; Engineering; Transport engineering; Civil engineering; Operations management; Mathematics","authors":[{"name":"H. Burak Gunay","is_ca":false},{"name":"William O’Brien","is_ca":false},{"name":"Ian Beausoleil-Morrison","is_ca":false},{"name":"Weiming Shen","is_ca":false},{"name":"Guy R. Newsham","is_ca":false},{"name":"Iain Macdonald","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02822276371084895,"gpt":0.2693825254366374,"spread":0.2411597617257884,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006722888,0.0003198579,0.000265715,0.0002271142,0.000219744,0.000655029,0.000512569,0.0002618613,0.001113439],"category_scores_gemma":[0.004395063,0.0002074145,0.0003208845,0.0002714094,0.0003998726,0.0004746785,0.0003476416,0.0003264924,0.00008177299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006365618,"about_ca_system_score_gemma":0.0004081625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009454876,"about_ca_topic_score_gemma":0.008279949,"domain_scores_codex":[0.9993826,0.0001917697,0.00002951409,0.0000921579,0.0001611388,0.000142705],"domain_scores_gemma":[0.9977604,0.001536873,0.0002479051,0.0001979058,0.0001866354,0.00007029418],"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":[0.0003229912,0.00006693002,0.03093099,0.00002847085,0.0000385748,0.00005995016,0.00007973418,0.956794,0.004996104,0.0006797297,0.00004639809,0.005956133],"study_design_scores_gemma":[0.00002570387,0.0006279302,0.06450059,0.000007644348,0.00006621063,0.0001110489,0.0003352177,0.9232747,0.01002831,0.0005192882,0.0004698681,0.00003354176],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874286,0.00004179034,0.01142127,0.00001815971,0.000005584919,0.00001165256,0.00006244213,0.00004832084,0.0009621907],"genre_scores_gemma":[0.999429,0.000007232082,0.0004795099,0.000001474129,5.267825e-7,0.000002394735,0.00001576402,0.000002610225,0.00006148425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009454876,"threshold_uncertainty_score":0.01879966,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285822553","doi":"10.26868/25222708.2021.30433","title":"Investigating thermostat setpoint preferences in Canadian households","year":2021,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Setpoint; Thermostat; HVAC; Environmental science; Efficient energy use; Computer science; Engineering; Air conditioning; Mechanical engineering; Artificial intelligence; Electrical engineering","authors":[{"name":"Karthik Panchabikesan","is_ca":false},{"name":"Mohamed Ouf","is_ca":false},{"name":"Ursula Eicker","is_ca":false},{"name":"Guy R. Newsham","is_ca":false},{"name":"Heather Knudsen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02584944772706097,"gpt":0.2419019103699348,"spread":0.2160524626428738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003887331,0.0002932341,0.0002680059,0.0009571936,0.001012078,0.0006606442,0.000429089,0.0001680335,0.001242459],"category_scores_gemma":[0.001118282,0.0001516494,0.0003594137,0.003619306,0.0003272388,0.0001998594,0.0003528843,0.0001805768,0.0001500308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008226164,"about_ca_system_score_gemma":0.005220163,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9760202,"about_ca_topic_score_gemma":0.9913306,"domain_scores_codex":[0.9996629,0.00003159516,0.00001280678,0.00007372372,0.0001201853,0.00009883018],"domain_scores_gemma":[0.999404,0.00007287484,0.0000608437,0.00003422501,0.0003814671,0.00004664399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000270864,0.00006351026,0.9233933,0.0001055975,0.0001183401,0.0001611642,0.003687503,0.01380144,0.006422912,0.0007168376,0.002129237,0.04912933],"study_design_scores_gemma":[0.000002547957,0.00001972255,0.9851349,0.00001117537,0.00002287441,0.00003168259,0.002827871,0.008955121,0.001222773,0.00005873337,0.001687424,0.00002509245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966647,0.00004500088,0.0005498955,0.00002046957,0.000001224788,0.00001275075,0.001638459,0.00001065726,0.001056771],"genre_scores_gemma":[0.9956746,0.00009689997,0.001200848,0.00001107239,9.960855e-7,0.0000122287,0.002013135,0.000006405005,0.0009838258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02397984,"threshold_uncertainty_score":0.05968535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236370022","doi":"10.26868/25222708.2019.211250","title":"Building Energy Use Surrogate Model Feature Selection – A Methodology Using Forward Stepwise Selection and LASSO Regression Methods","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Ontario Centres of Excellence","keywords":"Lasso (programming language); Feature selection; Stepwise regression; Selection (genetic algorithm); Computer science; Artificial intelligence; Regression; Elastic net regularization; Machine learning; Regression analysis; Energy (signal processing); Surrogate model; Feature (linguistics); Pattern recognition (psychology); Statistics; Mathematics","authors":[{"name":"Erica C. Barnes","is_ca":true},{"name":"J.J. McArthur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1171066999554717,"gpt":0.3499509413432064,"spread":0.2328442413877346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00408609,0.00121059,0.001298133,0.0008170051,0.000440839,0.0008259148,0.001114688,0.0006758181,0.00171591],"category_scores_gemma":[0.008006243,0.0004168019,0.001177899,0.001009302,0.0004133291,0.0007610749,0.0009102308,0.001263861,0.0005206381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003311286,"about_ca_system_score_gemma":0.001140862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002337836,"about_ca_topic_score_gemma":0.002339831,"domain_scores_codex":[0.9980739,0.001125759,0.00008193083,0.0001889366,0.0004113265,0.00011804],"domain_scores_gemma":[0.997234,0.001374196,0.0003711739,0.0003660466,0.0005952073,0.00005932671],"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":[0.0002164395,0.0002161299,0.006522015,0.0001306938,0.0003133345,0.0002189219,0.0000812372,0.8222156,0.005628154,0.01398833,0.005406793,0.1450623],"study_design_scores_gemma":[0.000009264026,0.00005607548,0.0007838301,0.000006902531,0.00001134251,0.00002269681,0.000007973076,0.9950825,0.0009362936,0.002323175,0.0007487092,0.00001119773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01692829,0.00007538788,0.9813859,0.0001272789,0.00003061027,0.00006161282,0.0002359126,0.0005111713,0.0006438055],"genre_scores_gemma":[0.6355754,0.0001978353,0.3579735,0.0001400892,0.000100133,0.0007409601,0.001819575,0.0002305147,0.00322189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00408609,"threshold_uncertainty_score":0.0216096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4250291293","doi":"10.26868/25222708.2019.211232","title":"Adaptive Sampling For Building Simulation Surrogate Model Derivation Using The LOLA-Voronoi Algorithm","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":7,"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":"Canarie","keywords":"Voronoi diagram; Centroidal Voronoi tessellation; Computer science; Sampling (signal processing); Adaptive sampling; Algorithm; Surrogate model; Mathematical optimization; Mathematics; Statistics; Machine learning; Computer vision; Monte Carlo method; Geometry","authors":[{"name":"Paul Westermann","is_ca":true},{"name":"Ralph Evins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.437817657541963,"gpt":0.4699098035917947,"spread":0.03209214604983168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001864276,0.0006455819,0.001212634,0.001095068,0.0005749689,0.0009565327,0.001651454,0.0009756678,0.00326453],"category_scores_gemma":[0.006801383,0.0007100418,0.00104776,0.001057689,0.0006112654,0.0009063653,0.001459491,0.001470329,0.0008369333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008614324,"about_ca_system_score_gemma":0.001465538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007038932,"about_ca_topic_score_gemma":0.006416537,"domain_scores_codex":[0.9992549,0.0003491296,0.0000316118,0.00006514328,0.0002435189,0.00005573291],"domain_scores_gemma":[0.9975256,0.001683474,0.0001134803,0.0001677741,0.0004313411,0.00007842819],"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":[0.00003764261,0.00002891214,0.0005417329,0.00005686468,0.00002108651,0.00004917568,0.00004922682,0.9502993,0.001191927,0.01904557,0.0005358744,0.02814276],"study_design_scores_gemma":[0.000002752171,0.000005558234,0.00001931983,0.000002833891,0.000001199854,0.000005325046,0.000002863686,0.9969949,0.0001912391,0.002403113,0.0003692078,0.000001805188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001846167,0.00004892108,0.9973623,0.00002205166,0.000006033241,0.00002070075,0.00001818293,0.000128977,0.0005466438],"genre_scores_gemma":[0.1876087,0.0002020798,0.8094605,0.00006193009,0.00002713199,0.0004098476,0.0003171369,0.000296053,0.001616596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007038932,"threshold_uncertainty_score":0.01399589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628910","doi":"10.26868/25222708.2023.1404","title":"A framework for the design of representative neighborhoods for energy flexibility assessment in CityLearn","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":"Concordia University","funders":"","keywords":"Benchmarking; Flexibility (engineering); Computer science; Electrification; Grid; Renewable energy; Electricity; Demand response; Resource (disambiguation); Distributed generation; Distributed computing; Environmental economics; Engineering; Business","authors":[{"name":"Kingsley Nweye","is_ca":false},{"name":"Kathryn Kaspar","is_ca":true},{"name":"Giacomo Buscemi","is_ca":false},{"name":"Giuseppe Pinto","is_ca":false},{"name":"Han Li","is_ca":false},{"name":"Tianzhen Hong","is_ca":false},{"name":"Mohamed Ouf","is_ca":true},{"name":"Alfonso Capozzoli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08475042858950928,"gpt":0.3601959700292637,"spread":0.2754455414397544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003138784,0.0005554641,0.0007914399,0.0007995851,0.0007963011,0.001809903,0.002379442,0.0009720076,0.003505738],"category_scores_gemma":[0.006448906,0.0005593264,0.0008504732,0.0006195679,0.00117143,0.001732295,0.002632885,0.0008289941,0.0004913215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723874,"about_ca_system_score_gemma":0.001958216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01107127,"about_ca_topic_score_gemma":0.02328572,"domain_scores_codex":[0.9986123,0.0005863199,0.00008689266,0.000264815,0.0003293781,0.0001203062],"domain_scores_gemma":[0.9983266,0.0006402238,0.0001938751,0.0002194847,0.0004785358,0.0001413238],"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":[0.00005864891,0.00006164962,0.00154135,0.00004873781,0.0000281969,0.00007001811,0.0001401539,0.9100492,0.001256733,0.05427288,0.001079472,0.03139291],"study_design_scores_gemma":[0.000007911432,0.00001817344,0.00008787044,0.000009706942,0.000004636007,0.00001114126,0.00003154424,0.9886336,0.0004682505,0.009535872,0.001186399,0.000004958228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006690409,0.00004542945,0.9909128,0.00007759196,0.000008970347,0.00007764836,0.00007587735,0.0003876869,0.001723615],"genre_scores_gemma":[0.2589363,0.00006715373,0.7386376,0.00006859207,0.00001019958,0.000314876,0.0002517798,0.0001574265,0.001555976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01107127,"threshold_uncertainty_score":0.02201366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2184885579","doi":"10.26868/25222708.2013.1138","title":"An Optimization Methodology To Evaluate The Effect Size Of Incentives On Energy-cost Optimal Curves","year":2013,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Energy consumption; Mathematical optimization; Life-cycle cost analysis; Energy (signal processing); Incentive; Function (biology); Energy cost; Computer science; Efficient energy use; Reliability engineering; Mathematics; Engineering; Environmental economics; Economics; Statistics; Microeconomics","authors":[{"name":"Scott Bucking","is_ca":false},{"name":"Andreas Athienitis","is_ca":false},{"name":"Radu Zmeureanu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03028874291138669,"gpt":0.3008246394190818,"spread":0.2705358965076951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008022875,0.001053472,0.0008652725,0.002582811,0.0004033839,0.0009732636,0.0007582291,0.0009350396,0.002873096],"category_scores_gemma":[0.02796851,0.0004183141,0.001036004,0.001697019,0.0008949942,0.001424937,0.0008401638,0.001130934,0.0001767788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068435,"about_ca_system_score_gemma":0.001335071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001351281,"about_ca_topic_score_gemma":0.0007536972,"domain_scores_codex":[0.9968061,0.0017,0.0001457964,0.0002514042,0.0009390928,0.0001576189],"domain_scores_gemma":[0.9836966,0.01351205,0.001312038,0.0005637336,0.0008118654,0.0001036941],"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":[0.0001501702,0.0002000445,0.002292729,0.000129361,0.0001312228,0.0000312373,0.00004481866,0.9156376,0.00437303,0.02736036,0.0003241332,0.04932538],"study_design_scores_gemma":[0.00007577128,0.0006986488,0.003173881,0.0000382964,0.00004850453,0.00005423568,0.00005054271,0.9737349,0.009605587,0.009944021,0.002532098,0.000043583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07668971,0.0002488792,0.9144457,0.0001602977,0.00003244129,0.000548315,0.0002252628,0.0002233643,0.007426029],"genre_scores_gemma":[0.6191816,0.0001826542,0.3778578,0.00008324563,0.00001435743,0.001270406,0.0001679797,0.00009598059,0.001145913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008022875,"threshold_uncertainty_score":0.04242951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294531397","doi":"10.26868/25222708.2017.602","title":"Predictive Setpoint Optimization of a Commercial Building Subject to a Winter Demand Penalty Affecting 12 Months of Utility Bills","year":2017,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Setpoint; Model predictive control; Electricity; Predictive power; Minification; Computer science; Time horizon; Peak demand; Environmental science; Control (management); Mathematical optimization; Econometrics; Engineering; Economics; Mathematics; Electrical engineering","authors":[{"name":"Jennifer Date","is_ca":false},{"name":"José A. Candanedo","is_ca":false},{"name":"Andreas Athienitis","is_ca":false},{"name":"Karine Lavigne","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02686947414427191,"gpt":0.2777872951387119,"spread":0.25091782099444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003483752,0.0005926238,0.0005244394,0.0001957757,0.0003345713,0.000609956,0.0004217287,0.0005847688,0.00259368],"category_scores_gemma":[0.0006451529,0.0002750197,0.000340672,0.0002843376,0.0004057141,0.0002197362,0.0003815906,0.0005594419,0.000129464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001059982,"about_ca_system_score_gemma":0.00106679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06988376,"about_ca_topic_score_gemma":0.04682902,"domain_scores_codex":[0.9999082,0.00002391988,0.000002765678,0.00001746641,0.00001621109,0.00003139573],"domain_scores_gemma":[0.999768,0.0001391324,0.00002288813,0.00001222378,0.00003916756,0.00001864675],"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":[0.00004171464,0.00001601007,0.0001502971,0.000008862166,0.000004661352,0.00002002213,0.000006576519,0.997497,0.0004826646,0.000247331,0.00008646854,0.001438436],"study_design_scores_gemma":[0.000008122699,0.00002380028,0.0002121948,8.410168e-7,0.000002774534,0.000001856291,0.000007060502,0.9993365,0.0002511637,0.0001013423,0.00005284304,0.000001405355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8619572,0.0001989483,0.1206394,0.0003341968,0.00004210485,0.00007973905,0.0003106389,0.0003916234,0.01604619],"genre_scores_gemma":[0.9972253,0.00001789994,0.001660094,0.000007582491,0.000001733884,0.00001533518,0.00004291082,0.000008495665,0.00102054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06988376,"threshold_uncertainty_score":0.138954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285822532","doi":"10.26868/25222708.2021.31086","title":"Faster computation of g-functions used for modeling of ground heat exchangers with reduced memory consumption","year":2021,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Geothermal Energy Systems and Applications","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Lunds Universitet; Polytechnique Montréal","keywords":"Heat pump; Computation; Heat exchanger; Computer science; Function (biology); Borehole; Flexibility (engineering); Energy consumption; Computational science; Heat transfer; Energy (signal processing); Simulation; Mechanical engineering; Algorithm; Engineering; Mechanics; Physics; Mathematics; Electrical engineering","authors":[{"name":"Jeffrey D. Spitler","is_ca":false},{"name":"Jack Cook","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06331560758936222,"gpt":0.2956369508780781,"spread":0.2323213432887158,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005025918,0.001478981,0.0009620241,0.0007076555,0.0005932206,0.001098377,0.00123194,0.0009132195,0.006942681],"category_scores_gemma":[0.00168498,0.0004413009,0.001312293,0.0009218038,0.0004039172,0.001348256,0.0006703655,0.001518426,0.001880112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000750019,"about_ca_system_score_gemma":0.001151004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020944,"about_ca_topic_score_gemma":0.006809576,"domain_scores_codex":[0.9998031,0.0000539716,0.00001156427,0.00003186621,0.00006043927,0.00003906214],"domain_scores_gemma":[0.9994797,0.0002251254,0.00003462948,0.0001081543,0.0001190665,0.00003331781],"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":[0.0001051556,0.00008218109,0.002498194,0.0001726226,0.00006579631,0.0002440949,0.000143548,0.905643,0.009881762,0.02085323,0.005797402,0.05451304],"study_design_scores_gemma":[0.00001633362,0.00001475454,0.0003744292,0.0000120722,0.000008213467,0.00002497784,0.00002059769,0.9878997,0.003583428,0.004158297,0.003875038,0.00001222204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08412828,0.0004903942,0.8914568,0.0003508274,0.0002148682,0.00007567029,0.0008302509,0.01052472,0.01192804],"genre_scores_gemma":[0.5820948,0.0004743157,0.4058955,0.0002419881,0.0000659147,0.0002442739,0.002028415,0.002752112,0.006202639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01020944,"threshold_uncertainty_score":0.02322561,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4235853182","doi":"10.26868/25222708.2019.210320","title":"A Co-simulation Framework for Assessing the Interaction between Heat Pumps and the Low Voltage Grid on a District Scale","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"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":"Ministerio de Economía y Competitividad; European Commission","keywords":"Grid; Scale (ratio); Computer science; Voltage; Environmental science; Mechanical engineering; Electrical engineering; Engineering; Physics; Geology","authors":[{"name":"Jalomi Maayan Tardif","is_ca":true},{"name":"Jaume Salom","is_ca":false},{"name":"Martin Kegel","is_ca":true},{"name":"Francisco Díaz‐González","is_ca":false},{"name":"Alaia Sola","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03683016792284666,"gpt":0.3097943273180728,"spread":0.2729641593952261,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004772,0.0009204719,0.0008070905,0.0007391967,0.00101925,0.00143594,0.002238744,0.001543275,0.01010121],"category_scores_gemma":[0.001694781,0.0004587682,0.00121129,0.000624642,0.000781765,0.001172496,0.001830774,0.001729527,0.001273877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009428122,"about_ca_system_score_gemma":0.002230586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01222768,"about_ca_topic_score_gemma":0.009144723,"domain_scores_codex":[0.9995841,0.0001489771,0.0000226563,0.00005259907,0.0001338811,0.00005766288],"domain_scores_gemma":[0.9993045,0.0002553152,0.00004682332,0.0001353941,0.0001644665,0.00009343063],"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":[0.00003960924,0.00007810273,0.001027508,0.00007915349,0.00004575411,0.00009374017,0.0001182927,0.9461498,0.002772036,0.0380694,0.002663148,0.008863343],"study_design_scores_gemma":[0.000013435,0.00001985847,0.0002146422,0.00001087225,0.000008185421,0.00002557253,0.00002218803,0.985714,0.0008410501,0.005349253,0.007767033,0.00001393329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01287663,0.00009088223,0.9637015,0.0001945617,0.0001056595,0.0002326778,0.0007948376,0.005573915,0.01642928],"genre_scores_gemma":[0.4438332,0.0003320895,0.5381103,0.0001698431,0.00007550894,0.001551511,0.002430523,0.002467832,0.01102924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01222768,"threshold_uncertainty_score":0.0337919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4248093051","doi":"10.26868/25222708.2019.210574","title":"Proper Choice Of Urban Canopy Model For Climate Simulations","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weather Research and Forecasting Model; Environmental science; Wind speed; Canopy; Atmospheric sciences; Meteorology; Urban heat island; Atmosphere (unit); Slab; Intensity (physics); Atmospheric model; Wind direction; Microclimate; Urban climate; Reflection (computer programming); Urban planning; Geology; Geography; Computer science","authors":[{"name":"Zahra Jandaghian","is_ca":true},{"name":"Umberto Berardi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06610634396022316,"gpt":0.2952655655393577,"spread":0.2291592215791345,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002447935,0.0004074702,0.0004786384,0.0002355626,0.0003493641,0.0005819313,0.0009265229,0.0004055825,0.003139245],"category_scores_gemma":[0.0009600194,0.0002403182,0.0004690004,0.0004507629,0.0001261396,0.0006201575,0.0004777036,0.0004872211,0.0005212148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004501177,"about_ca_system_score_gemma":0.0008195684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01369928,"about_ca_topic_score_gemma":0.01332271,"domain_scores_codex":[0.9998068,0.0000532728,0.00001093428,0.00003309058,0.00004771847,0.00004824367],"domain_scores_gemma":[0.9998179,0.00004332562,0.00001484349,0.00002892024,0.00007078966,0.00002422172],"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":[0.00006044692,0.00006315431,0.003043279,0.00007959968,0.00003825012,0.0001492325,0.00004010735,0.9650533,0.006233006,0.006876039,0.002712807,0.01565089],"study_design_scores_gemma":[0.00001172028,0.000007334701,0.0006005056,0.000007747476,0.0000065041,0.00001299231,0.00001723893,0.9958747,0.00107144,0.0005684475,0.001815697,0.00000582167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3682984,0.0007810123,0.5620384,0.0007414269,0.0003740348,0.0003645287,0.003823631,0.003968764,0.05960989],"genre_scores_gemma":[0.9251465,0.0002682596,0.07000987,0.0001081218,0.00003887914,0.0001564081,0.001150583,0.0004115104,0.002709857],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01369928,"threshold_uncertainty_score":0.02723908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4242162370","doi":"10.26868/25222708.2019.211427","title":"A Simplified Building Controls Environment with a Reinforcement Learning Application","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; Concordia University","funders":"McGill University","keywords":"Reinforcement learning; HVAC; Computer science; Matching (statistics); Control (management); Reinforcement; Energy consumption; Building automation; Air conditioning; Control engineering; Simulation; Engineering; Artificial intelligence","authors":[{"name":"Vasken Dermardiros","is_ca":true},{"name":"Scott Bucking","is_ca":true},{"name":"Andreas Athienitis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01379501994551633,"gpt":0.2115118368166087,"spread":0.1977168168710924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002491014,0.0004948079,0.0003629802,0.000149164,0.0002167017,0.0006767088,0.001122698,0.0005740161,0.01343865],"category_scores_gemma":[0.0006110182,0.000271753,0.0002950713,0.00009277804,0.0003013602,0.0004294557,0.0006496688,0.0007943514,0.001998873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867253,"about_ca_system_score_gemma":0.00051361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00282319,"about_ca_topic_score_gemma":0.002090343,"domain_scores_codex":[0.9997661,0.00005190973,0.00001305313,0.0000480092,0.00008935012,0.00003154718],"domain_scores_gemma":[0.9998031,0.00007752774,0.00001442322,0.00003503779,0.00003950002,0.00003042328],"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":[0.0004168213,0.0003480325,0.001014878,0.00019237,0.00003118953,0.0004355131,0.0001685179,0.8521792,0.04372726,0.01356372,0.00345606,0.08446645],"study_design_scores_gemma":[0.00005065662,0.00009951757,0.0002614643,0.00001132163,0.000008534596,0.000063153,0.00001256699,0.97361,0.01135506,0.00148352,0.01302996,0.00001426645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04752038,0.00007075632,0.9156365,0.0001771218,0.00006354609,0.0002708683,0.0002673865,0.01166793,0.02432539],"genre_scores_gemma":[0.7177273,0.0001283186,0.2559441,0.0001422804,0.00003756075,0.0004539713,0.0003324572,0.0005213053,0.02471272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01343865,"threshold_uncertainty_score":0.04495674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628917","doi":"10.26868/25222708.2023.1378","title":"Inverse surrogate modelling to determine thermal characteristics of buildings","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Mean squared error; Building envelope; Mean absolute percentage error; Computer science; Surrogate model; Inverse; Approximation error; Artificial neural network; Convolutional neural network; Algorithm; Machine learning; Statistics; Mathematics; Thermal","authors":[{"name":"Liam Jowett-Lockwood","is_ca":true},{"name":"Ralph Evins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03736025903891525,"gpt":0.2458222608240025,"spread":0.2084620017850873,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003451417,0.0005141415,0.0003994086,0.0003579976,0.0001315726,0.0006719154,0.0004273209,0.0006310531,0.001337951],"category_scores_gemma":[0.001612577,0.0003728893,0.0005742706,0.0004096508,0.0003231939,0.0007633243,0.0004663474,0.000632067,0.0003264793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003729643,"about_ca_system_score_gemma":0.0004549287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002860427,"about_ca_topic_score_gemma":0.002579148,"domain_scores_codex":[0.9998287,0.00004538769,0.000009868847,0.00003283657,0.00006808381,0.00001505826],"domain_scores_gemma":[0.9997343,0.0001338254,0.00003454155,0.0000387232,0.00004877578,0.000009762098],"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":[0.000008511191,0.000007803272,0.0004022881,0.00001282529,0.000004487919,0.00001120044,0.000007599674,0.9941633,0.001364182,0.0008043722,0.00007528479,0.003138053],"study_design_scores_gemma":[8.347786e-7,0.000004631346,0.0001499404,0.000001932072,8.258601e-7,0.000005232704,0.000002168061,0.9986812,0.0004775838,0.00050285,0.0001705757,0.000002116489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1448934,0.0002769078,0.8437436,0.0001648307,0.00004787694,0.00005813277,0.0006106414,0.0005288147,0.0096759],"genre_scores_gemma":[0.9606621,0.0002117795,0.03600422,0.00003300745,0.000009734204,0.00006800786,0.000536938,0.00005152567,0.002422817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002860427,"threshold_uncertainty_score":0.005687535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4249237242","doi":"10.26868/25222708.2019.210805","title":"Application of A Housing Technology Assessment Simulation Platform in Regulation R&amp;D","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"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; Natural Resources Canada","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Archetype; Envelope (radar); Architectural engineering; Building envelope; Code (set theory); Computer science; Energy conservation; Zero-energy building; Measure (data warehouse); Passive house; Civil engineering; Environmental economics; Engineering; Efficient energy use; Telecommunications; Economics; Database; Electrical engineering","authors":[{"name":"Rasoul Asaee","is_ca":true},{"name":"Alex Ferguson","is_ca":true},{"name":"Adam Wills","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02866170968819469,"gpt":0.2801709971769716,"spread":0.2515092874887769,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008419886,0.000641021,0.0004380564,0.0004524506,0.0005413652,0.0009066612,0.0009415878,0.0007694092,0.006417142],"category_scores_gemma":[0.001335875,0.0003448279,0.0005374392,0.0003918607,0.0003201124,0.0005503362,0.0005983476,0.0007708946,0.0005480484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591685,"about_ca_system_score_gemma":0.002395714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07716551,"about_ca_topic_score_gemma":0.05563083,"domain_scores_codex":[0.9997478,0.000088785,0.00001131715,0.00002735056,0.00008891185,0.00003583398],"domain_scores_gemma":[0.9993079,0.0003772455,0.00003898051,0.00005742724,0.0001720121,0.00004652436],"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":[0.0000428409,0.00007406338,0.001222364,0.00002292771,0.00001259335,0.00003086309,0.00003938413,0.9895158,0.001044674,0.001963312,0.0005826601,0.005448597],"study_design_scores_gemma":[0.00001669749,0.00003101978,0.000242159,0.000002994594,0.000004386787,0.000002886307,0.00002311777,0.9973453,0.0007757522,0.0003693895,0.001180805,0.000005621208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6162075,0.0001256471,0.276409,0.0009641882,0.0001866984,0.0008684412,0.003733392,0.004645398,0.09685969],"genre_scores_gemma":[0.8878947,0.0001272874,0.1030298,0.00009380191,0.00001262796,0.0004804748,0.001193611,0.0002349089,0.006932712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07716551,"threshold_uncertainty_score":0.1534327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253301839","doi":"10.26868/25222708.2019.211116","title":"An Evaluation of Cold Climate Variable Capacity Air Source Heat Pumps in Canadian Residential Buildings Using an Enhanced Component Model","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada","funders":"Office of Energy Efficiency","keywords":"Component (thermodynamics); Environmental science; Cold climate; Variable (mathematics); Cold winter; Atmospheric model; Meteorology; Computer science; Thermodynamics; Geography; Mathematics; Physics","authors":[{"name":"Stéphanie Breton","is_ca":true},{"name":"Justin Tamasauskas","is_ca":true},{"name":"Martin Kegel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05390603039687402,"gpt":0.2747947129438714,"spread":0.2208886825469974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004553901,0.001043721,0.0005845685,0.0004250949,0.0009402291,0.001080927,0.001409964,0.0007117806,0.001524394],"category_scores_gemma":[0.0006732232,0.0004398,0.0007372687,0.000585926,0.0005271635,0.0004379514,0.0003773702,0.0004516945,0.0001921542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009560362,"about_ca_system_score_gemma":0.00629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8990932,"about_ca_topic_score_gemma":0.8503146,"domain_scores_codex":[0.9997873,0.00003586703,0.000007327085,0.00003923303,0.00006171257,0.00006860461],"domain_scores_gemma":[0.999674,0.00009393367,0.00002321266,0.00001907518,0.0001570864,0.00003277659],"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":[0.00008322755,0.00004326114,0.003677679,0.00002710145,0.00001276068,0.00003836451,0.0000288848,0.9918691,0.001069959,0.0004620799,0.0001938798,0.002493737],"study_design_scores_gemma":[0.00002202033,0.00006688335,0.004572105,0.000004031548,0.00001912881,0.000007742561,0.00005147994,0.9938183,0.0009417725,0.00006169709,0.0004211815,0.00001367867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833451,0.0001083666,0.00638211,0.00008544866,0.00000995942,0.00008720349,0.0009592306,0.0001914033,0.008831122],"genre_scores_gemma":[0.9953964,0.00009088841,0.002465152,0.00001013231,0.000001562069,0.00002541672,0.0004111409,0.00001905666,0.001580157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1009068,"threshold_uncertainty_score":0.203002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628999","doi":"10.26868/25222708.2023.1398","title":"Predicting energy consumption and thermal comfort in buildings using a hybrid machine learning and building performance simulation approach","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"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":"Boosting (machine learning); Gradient boosting; Computer science; Thermal comfort; Machine learning; Energy consumption; Predictive power; Artificial intelligence; Predictive modelling; Regression analysis; Support vector machine; Efficient energy use; Regression; Power consumption; Power (physics); Engineering; Random forest; Mathematics; Statistics","authors":[{"name":"Elin Markarian","is_ca":true},{"name":"Elie Azar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02560170673231937,"gpt":0.2503576957127219,"spread":0.2247559889804025,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006638134,0.0005946524,0.0006676678,0.0003972252,0.0002197312,0.0006845914,0.0005811786,0.0007640936,0.0007464027],"category_scores_gemma":[0.001578493,0.0003469685,0.0006330437,0.0004589737,0.0003076791,0.0006759929,0.0004647286,0.0007389589,0.0002139736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004870412,"about_ca_system_score_gemma":0.0005616101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005865925,"about_ca_topic_score_gemma":0.004983024,"domain_scores_codex":[0.9996943,0.000150075,0.00001159605,0.00003462503,0.0000780226,0.00003137588],"domain_scores_gemma":[0.9995161,0.0003055501,0.00004649023,0.00004416146,0.00006090417,0.00002680621],"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":[0.00001133989,0.00001669003,0.0003526948,0.000005015469,0.000006579733,0.000005191493,0.000003761916,0.9970245,0.0002385559,0.0003138439,0.00002990676,0.001991869],"study_design_scores_gemma":[8.468811e-7,0.000008286176,0.00008111712,7.432637e-7,8.528674e-7,0.000001225525,0.000001019418,0.9996026,0.0001235435,0.0001422727,0.00003643005,0.000001006792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4459378,0.0004354809,0.5436177,0.0003680545,0.00006607544,0.0000886804,0.0002417671,0.0006891039,0.008555316],"genre_scores_gemma":[0.9775084,0.00009690099,0.02127736,0.0000320202,0.00001276324,0.00004670817,0.0001390313,0.00001852535,0.0008682124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005865925,"threshold_uncertainty_score":0.01166356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285822676","doi":"10.26868/25222708.2021.30421","title":"Evaluating stack effect impact of thermal comfort in high rise office towers","year":2021,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Stack (abstract data type); Stack effect; Energy consumption; Thermal comfort; Environmental science; Thermal; Computer science; Proxy (statistics); Automotive engineering; Simulation; Engineering; Meteorology; Electrical engineering","authors":[{"name":"G. W. Chang","is_ca":false},{"name":"Karim El Mokhtari","is_ca":false},{"name":"Russell Richman","is_ca":false},{"name":"J.J. McArthur","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02477749422103145,"gpt":0.3164448448143001,"spread":0.2916673505932687,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800143,0.0006387293,0.0004011977,0.0003782403,0.0003626772,0.0007986002,0.0003856744,0.0005886458,0.001146721],"category_scores_gemma":[0.001364922,0.0002428709,0.0005536632,0.0003990854,0.0002395331,0.0006578222,0.0003090462,0.0004854167,0.0002215467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000751731,"about_ca_system_score_gemma":0.0004358353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02094447,"about_ca_topic_score_gemma":0.02979654,"domain_scores_codex":[0.9997782,0.00006131135,0.00001043723,0.0000387705,0.00005753048,0.0000537151],"domain_scores_gemma":[0.9991685,0.000504267,0.00006143909,0.0000573761,0.0001477908,0.00006062458],"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":[0.001043237,0.0004027923,0.06614557,0.0001124562,0.0001062936,0.0002332634,0.000139802,0.8921999,0.02004327,0.0003545569,0.0003040986,0.01891474],"study_design_scores_gemma":[0.00002830032,0.001074108,0.08010235,0.00001267082,0.00007811227,0.00006119734,0.0002396359,0.9033091,0.01454516,0.0002190078,0.0002970112,0.00003330588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973503,0.0000356631,0.00165634,0.00001202483,0.000005476043,0.00001026816,0.0001488907,0.00003526304,0.0007456537],"genre_scores_gemma":[0.9988825,0.00001927923,0.000759919,0.000002801122,0.000001611174,0.000003485344,0.0001292642,0.000006423331,0.0001946599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02094447,"threshold_uncertainty_score":0.04164511,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4246429167","doi":"10.26868/25222708.2019.210707","title":"Using Model Calibration To Improve Urban Modeling","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":4,"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":"Calibration; Computer science; Statistics; Mathematics","authors":[{"name":"Louis Leroy","is_ca":true},{"name":"Samuel Letellier-Duchesne","is_ca":true},{"name":"Michaël Kummert","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07870947240019859,"gpt":0.2926918185887374,"spread":0.2139823461885388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002334748,0.001209512,0.0008251982,0.0009077555,0.0004237365,0.001707517,0.001376102,0.001159473,0.002898773],"category_scores_gemma":[0.008648715,0.0008029435,0.0008463298,0.001318705,0.0004124331,0.00239805,0.001339432,0.001256872,0.000812187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081344,"about_ca_system_score_gemma":0.001066847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135335,"about_ca_topic_score_gemma":0.006564069,"domain_scores_codex":[0.9989769,0.0004565373,0.00006940329,0.0001833877,0.0002244532,0.00008923432],"domain_scores_gemma":[0.9968496,0.001335405,0.0001975082,0.0009740217,0.0005988014,0.0000447078],"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":[0.00001362729,0.00001897952,0.00121202,0.00002825673,0.00002043093,0.00001582693,0.0000255133,0.9886187,0.0006322716,0.001339461,0.0002749318,0.007799977],"study_design_scores_gemma":[0.000009783539,0.00002023953,0.0007262295,0.00002255042,0.00001434794,0.00001556511,0.00003046972,0.9928635,0.002025038,0.002146149,0.002104368,0.00002180515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2047084,0.0004651641,0.7712473,0.0005852934,0.000136845,0.0001767156,0.001674119,0.005346664,0.01565952],"genre_scores_gemma":[0.9003786,0.0003284768,0.09579506,0.0001205039,0.00001989968,0.0001385996,0.001508121,0.0007050792,0.001005726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01135335,"threshold_uncertainty_score":0.02257454,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4247849071","doi":"10.26868/25222708.2019.210716","title":"High Resolution Bottom-up Residential Electrical Model For Distribution Networks Planning","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; Collège Shawinigan","funders":"","keywords":"Range (aeronautics); Computer science; Scale (ratio); Environmental science; Engineering; Geography","authors":[{"name":"Simon Sansregret","is_ca":true},{"name":"Karine Lavigne","is_ca":true},{"name":"Brice Le Lostec","is_ca":true},{"name":"Laurencelle Francois","is_ca":true},{"name":"Frederic Guay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02999793549094706,"gpt":0.2550943356308889,"spread":0.2250964001399418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077121,0.000621945,0.000746343,0.0003484119,0.000499924,0.0008974954,0.001174504,0.0007817083,0.005040182],"category_scores_gemma":[0.0007064446,0.00049006,0.0007448821,0.0005198846,0.0003192358,0.0007255846,0.000754772,0.0009078407,0.001003627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001905,"about_ca_system_score_gemma":0.0009613384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03546506,"about_ca_topic_score_gemma":0.0335534,"domain_scores_codex":[0.9998518,0.000043517,0.00000567339,0.00002384665,0.00005024717,0.00002478222],"domain_scores_gemma":[0.9997944,0.00008330013,0.00001402989,0.0000304813,0.00006011384,0.00001763811],"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":[0.000004124607,0.000004184098,0.0001231841,0.000004146385,0.000002776794,0.00001341054,0.000004459218,0.997431,0.000181849,0.0007499919,0.0001544131,0.001326385],"study_design_scores_gemma":[0.000001413923,0.000001814083,0.00003663702,8.621486e-7,0.000001220885,0.000002370415,0.000002228551,0.9991482,0.00007306494,0.0004303157,0.0003006108,0.000001199697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05017726,0.0001434474,0.9211928,0.0002194935,0.00006077457,0.00008249024,0.001468946,0.001640141,0.02501459],"genre_scores_gemma":[0.8232059,0.0002474742,0.159452,0.0001212855,0.00003853926,0.0002876484,0.001911197,0.000325587,0.01441028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03546506,"threshold_uncertainty_score":0.07051724,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628981","doi":"10.26868/25222708.2023.1725","title":"Comparative analysis of uncertainty characterization methods in urban building energy models in hot-arid regions","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"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; Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Latin hypercube sampling; Probabilistic logic; Uncertainty analysis; Computer science; Reliability (semiconductor); Sensitivity analysis; Probability distribution; Probability density function; Sampling (signal processing); Monte Carlo method; Mathematical optimization; Statistics; Mathematics; Simulation; Artificial intelligence","authors":[{"name":"Dongxue Zhan","is_ca":true},{"name":"Nurettin Sezer","is_ca":false},{"name":"Ibrahim Hassan","is_ca":false},{"name":"Liangzhu Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05444338126732737,"gpt":0.3273818458284211,"spread":0.2729384645610937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003539265,0.0007004034,0.0006800548,0.001287235,0.0003635752,0.001107256,0.0008135627,0.0006891244,0.0007882272],"category_scores_gemma":[0.007285821,0.0003553742,0.001097707,0.00109322,0.0003633482,0.0009574777,0.0007620901,0.0006175885,0.00006900316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051616,"about_ca_system_score_gemma":0.0009084815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01128636,"about_ca_topic_score_gemma":0.007621842,"domain_scores_codex":[0.9990016,0.0006076306,0.00005524286,0.00006735611,0.0001849135,0.00008320312],"domain_scores_gemma":[0.993852,0.004908638,0.0003815245,0.0002207271,0.0005614639,0.00007567874],"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":[0.00005454594,0.00003246019,0.003256336,0.00004757164,0.00003713847,0.00002532619,0.00004195105,0.9867638,0.0001789027,0.001793212,0.00007818564,0.007690582],"study_design_scores_gemma":[0.000005061317,0.00004217903,0.001399658,0.00001463496,0.00001488881,0.00001227126,0.00005274048,0.9970747,0.0004121046,0.0007549767,0.0002087696,0.000007930936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7623244,0.001781552,0.2246043,0.0004243036,0.00005782585,0.0001736523,0.0004868684,0.0002547163,0.009892318],"genre_scores_gemma":[0.9780141,0.000443346,0.02080644,0.00002487692,0.00001366877,0.00008175868,0.0002268849,0.00003095578,0.000357975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01128636,"threshold_uncertainty_score":0.02244133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4250595799","doi":"10.26868/25222708.2019.210105","title":"Building Climate-based Daylighting Models Based On One-time Field Measurements","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Daylighting; Field (mathematics); Environmental science; Computer science; Remote sensing; Architectural engineering; Meteorology; Engineering; Geology; Geography; Mathematics","authors":[{"name":"Geraldine Quek","is_ca":false},{"name":"J. Alstan Jakubiec","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09342340209556904,"gpt":0.2960893076680227,"spread":0.2026659055724537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279162,0.0005803342,0.000440458,0.0005982786,0.0001883275,0.0009833669,0.0009226811,0.000528694,0.001534782],"category_scores_gemma":[0.001634682,0.0003510031,0.001065237,0.0009653906,0.0002869345,0.0009765564,0.0004666329,0.0006695253,0.0008658403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006988901,"about_ca_system_score_gemma":0.0005111142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596873,"about_ca_topic_score_gemma":0.01886962,"domain_scores_codex":[0.999617,0.00008125859,0.00002277229,0.00018221,0.00005920997,0.00003748055],"domain_scores_gemma":[0.9994119,0.0002163319,0.00006861059,0.0001396428,0.0001328485,0.00003066074],"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":[0.00006940762,0.0001162319,0.02279129,0.00009323033,0.00008101336,0.00004126519,0.0001394357,0.9400046,0.00298217,0.001351844,0.001356184,0.03097327],"study_design_scores_gemma":[0.000009869876,0.00002325593,0.01222669,0.0000134994,0.00001540607,0.00002073418,0.00005321427,0.9836693,0.001265384,0.001087847,0.001594245,0.00002055088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5783644,0.0003478738,0.4047334,0.0001856244,0.0001117546,0.0001687888,0.006350414,0.002414855,0.00732286],"genre_scores_gemma":[0.9495005,0.0002124079,0.04331654,0.00004601373,0.00001793533,0.0001754195,0.005239782,0.0001257111,0.001365782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596873,"threshold_uncertainty_score":0.03175157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628601","doi":"10.26868/25222708.2023.1594","title":"The effect of Urban-scale shading on building energy modelling results of an educational building in Montréal","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"","keywords":"Energy consumption; Context (archaeology); Urban heat island; Environmental science; Shading; Civil engineering; Consumption (sociology); Scale (ratio); Efficient energy use; Building energy simulation; Architectural engineering; Urban planning; Computer science; Meteorology; Geography; Engineering; Energy performance","authors":[{"name":"Mahdis Shahidi","is_ca":true},{"name":"Ursula Eicker","is_ca":true},{"name":"Mazdak Nik‐Bakht","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01488039076714741,"gpt":0.2605310393092178,"spread":0.2456506485420704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721139,0.0006292039,0.0002656372,0.0003632549,0.000511607,0.0007671889,0.0006233586,0.0003776435,0.002180033],"category_scores_gemma":[0.0002432709,0.0002144411,0.0005924332,0.0005072685,0.0003495906,0.0001851074,0.0002946747,0.0002716338,0.000217809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003148002,"about_ca_system_score_gemma":0.001170439,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.689796,"about_ca_topic_score_gemma":0.6982605,"domain_scores_codex":[0.9999028,0.000016679,0.000003526212,0.00002101422,0.0000201036,0.0000357209],"domain_scores_gemma":[0.9999079,0.0000324263,0.000008479808,0.000009965637,0.00002887885,0.00001241851],"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":[0.0001745179,0.000120853,0.03189341,0.00003614029,0.00004554752,0.0002564658,0.0001332246,0.9499043,0.01093805,0.0003433407,0.0003433127,0.005810863],"study_design_scores_gemma":[0.00004184962,0.0001232625,0.08979889,0.000007791405,0.00005658157,0.00002951697,0.0002971631,0.9029974,0.005775661,0.00007979759,0.0007527941,0.00003923793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961317,0.00002376091,0.0007975274,0.00001904711,0.000002353986,0.00001169541,0.0003649053,0.00008560207,0.002563401],"genre_scores_gemma":[0.9987617,0.00001996691,0.0004354985,0.000003216968,5.082609e-7,0.000004493507,0.0002052682,0.00001323614,0.0005561931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.310204,"threshold_uncertainty_score":0.6240616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4243484317","doi":"10.26868/25222708.2019.210568","title":"Linear Discriminant Analysis for Classification of a Large Virtual Smart Meter Data Set With Known Building Parameters","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données","keywords":"Linear discriminant analysis; Discriminant; Data set; Computer science; Set (abstract data type); Optimal discriminant analysis; Smart meter; Metre; Pattern recognition (psychology); Artificial intelligence; Data mining; Engineering; Smart grid","authors":[{"name":"Adam Neale","is_ca":true},{"name":"Michaël Kummert","is_ca":true},{"name":"Michel Bernier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1054697817191459,"gpt":0.3129414925858361,"spread":0.2074717108666901,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536666,0.0007956928,0.0006551763,0.001900083,0.0005055305,0.0006324952,0.0005034975,0.0004786651,0.001312635],"category_scores_gemma":[0.006296808,0.0002064203,0.0007724752,0.001635122,0.000306781,0.0006078887,0.0005881905,0.0007946815,0.00110604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005659215,"about_ca_system_score_gemma":0.0006489921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0044929,"about_ca_topic_score_gemma":0.00285945,"domain_scores_codex":[0.9987503,0.0005061113,0.00009933783,0.0002027667,0.0003366326,0.0001048596],"domain_scores_gemma":[0.9978471,0.001206389,0.0001243374,0.0002873433,0.0004791511,0.0000556931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001160798,0.0008544824,0.02581234,0.0002305726,0.0002267653,0.0002718367,0.0004666953,0.2421701,0.03248007,0.003257255,0.007558255,0.6855109],"study_design_scores_gemma":[0.0000152932,0.0001038218,0.007867076,0.000008895408,0.0000123063,0.00004911713,0.0001011118,0.9853795,0.004622519,0.0009546308,0.0008638599,0.00002175833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3743885,0.0003468772,0.6176789,0.0003636121,0.0001618565,0.0002339788,0.001322869,0.003164111,0.002339273],"genre_scores_gemma":[0.7885417,0.0001202667,0.2071925,0.00004748143,0.00004440274,0.0003215044,0.002022719,0.0001039793,0.00160544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0044929,"threshold_uncertainty_score":0.01341534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4256282486","doi":"10.26868/25222708.2019.210306","title":"Energy Management System (EMS): The Impact of Natural Ventilation and Shading Control on Thermal Performance of University Building in Winnipeg, Canada","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":"University of Manitoba","funders":"","keywords":"Shading; Architectural engineering; Energy performance; Environmental science; Natural ventilation; Ventilation (architecture); Thermal comfort; Control (management); Efficient energy use; Computer science; Engineering; Meteorology; Electrical engineering; Mechanical engineering; Geography","authors":[{"name":"Ali Mohammadzadeh","is_ca":true},{"name":"Miroslava Kavgic","is_ca":true},{"name":"Ali Al-janabi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006889974151179489,"gpt":0.1864856629053755,"spread":0.1795956887541961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001576708,0.0004372525,0.0003090992,0.0002147016,0.0005733149,0.0005365934,0.0005421868,0.0002523623,0.001543262],"category_scores_gemma":[0.0002806562,0.0001671407,0.0002590836,0.0003732821,0.0002699026,0.000204629,0.0002219272,0.0002319171,0.0001678556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006181321,"about_ca_system_score_gemma":0.004361152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8998014,"about_ca_topic_score_gemma":0.9129373,"domain_scores_codex":[0.999873,0.00001656824,0.000002889078,0.00002121206,0.0000269574,0.00005937489],"domain_scores_gemma":[0.9999142,0.00001657367,0.000004912684,0.000004146691,0.00004206791,0.00001812323],"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":[0.0007861263,0.0003406468,0.06274429,0.000119785,0.00006435746,0.0004127861,0.0002221452,0.8914281,0.01527187,0.0009684441,0.002506458,0.02513494],"study_design_scores_gemma":[0.00008793881,0.0002962585,0.1589371,0.00001199839,0.00005146207,0.00004878413,0.0009493308,0.8272805,0.01006419,0.0001418499,0.002091022,0.00003953505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965359,0.00002844041,0.0005839263,0.000030224,0.000002597882,0.00002030076,0.0002507738,0.00004420477,0.00250365],"genre_scores_gemma":[0.9982614,0.00002330492,0.000438036,0.000004228538,3.270908e-7,0.000006079325,0.0001869966,0.000005949108,0.001073711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1001986,"threshold_uncertainty_score":0.2015774,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4233977927","doi":"10.26868/25222708.2019.210588","title":"Developing Equivalent Surface Heat Transfer Input Parameters for Updated Standard 140/BESTEST Thermal Fabric Test Cases","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Mechanical Behavior of Composites","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"U.S. Department of Energy","keywords":"Heat transfer; Thermal; Materials science; Surface (topology); Mechanics; Computer science; Mechanical engineering; Composite material; Thermodynamics; Engineering; Physics; Geometry; Mathematics","authors":[{"name":"J. Neymark","is_ca":false},{"name":"Michaël Kummert","is_ca":true},{"name":"R. Judkoff","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07587269927895993,"gpt":0.2964896732710099,"spread":0.22061697399205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004999383,0.001266419,0.0006541543,0.002944587,0.0006677916,0.001752302,0.002763377,0.0009068634,0.006814357],"category_scores_gemma":[0.01906418,0.0005437163,0.0009766119,0.00177794,0.0004713185,0.002004111,0.001089233,0.001289337,0.001618907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803451,"about_ca_system_score_gemma":0.001587443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004567234,"about_ca_topic_score_gemma":0.004949258,"domain_scores_codex":[0.9938305,0.00143839,0.0005630153,0.0003384413,0.003433672,0.0003959358],"domain_scores_gemma":[0.9920442,0.002251111,0.0004875162,0.001248583,0.00387513,0.00009338751],"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":[0.000493066,0.0005467089,0.01480988,0.0005237799,0.00006597138,0.0004565899,0.0003978476,0.7284005,0.04240941,0.02908182,0.01267737,0.1701371],"study_design_scores_gemma":[0.0000857788,0.0003506069,0.004175147,0.00007796213,0.00005528697,0.0002081674,0.0002079633,0.8593299,0.110458,0.004990585,0.01997697,0.00008352136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1466677,0.0001337878,0.8137236,0.0001301263,0.0001615305,0.0009510791,0.003385772,0.005804819,0.02904151],"genre_scores_gemma":[0.6607484,0.000149038,0.3227364,0.00006969934,0.00002376492,0.00174559,0.008015855,0.002088385,0.004422769],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006814357,"threshold_uncertainty_score":0.02643961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628723","doi":"10.26868/25222708.2023.1400","title":"Ensemble transfer learning strategy in forecasting power consumption for residential buildings","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Ensemble forecasting; Transfer of learning; Ensemble learning; Artificial intelligence; Machine learning; Power consumption; Predictive power; Deep learning; Energy consumption; Long short term memory; Data modeling; Predictive modelling; Power (physics); Transfer (computing); Recurrent neural network; Artificial neural network; Engineering; Database","authors":[{"name":"Bowen Yang","is_ca":true},{"name":"Yuxiang Chen","is_ca":true},{"name":"Mustafa Gül","is_ca":true},{"name":"Haitao Yu","is_ca":false},{"name":"Charlie Shields","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05504695749078569,"gpt":0.2839213225859204,"spread":0.2288743650951347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007401779,0.0005884442,0.0006422942,0.0004875222,0.0002532329,0.0003988078,0.0006771965,0.0005252165,0.001028489],"category_scores_gemma":[0.001666625,0.000208644,0.0004304615,0.0006499527,0.000215709,0.001408144,0.0005097919,0.0007446021,0.0002282336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120849,"about_ca_system_score_gemma":0.0004451057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006690436,"about_ca_topic_score_gemma":0.005278824,"domain_scores_codex":[0.9998234,0.00004989854,0.000009407812,0.00003987816,0.00004934995,0.00002811669],"domain_scores_gemma":[0.9997067,0.0001413595,0.00002368527,0.0000318358,0.00008432595,0.00001194772],"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":[0.00005764238,0.00005784156,0.001392604,0.00001742788,0.00004621454,0.00005270754,0.00003800084,0.8994547,0.001456198,0.00106322,0.0006058879,0.09575751],"study_design_scores_gemma":[7.266166e-7,0.000007587328,0.0001307929,7.920523e-7,0.000002199986,0.000002809325,0.000003089038,0.9991478,0.0002638861,0.0003805943,0.00005842679,0.000001242385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2832559,0.0008638051,0.7101139,0.0003095952,0.0000963036,0.00004698842,0.0001342883,0.00105524,0.004123993],"genre_scores_gemma":[0.9737902,0.0002008563,0.02416468,0.00004493902,0.00003378075,0.00003686321,0.000146855,0.00002710303,0.001554708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006690436,"threshold_uncertainty_score":0.01330298,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4251065180","doi":"10.26868/25222708.2019.210576","title":"Calibration Of An Historic Masonry Building Using Measured Temperature And Heat Flux Data","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Carleton University","funders":"Public Works and Government Services Canada","keywords":"Masonry; Calibration; Heat flux; Temperature measurement; Flux (metallurgy); Environmental science; Geology; Materials science; Heat transfer; Mechanics; Structural engineering; Engineering; Thermodynamics; Physics","authors":[{"name":"Michael Gutland","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05979133571724757,"gpt":0.2761726194926492,"spread":0.2163812837754016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005895276,0.0005969992,0.000277161,0.0008932384,0.0005898249,0.0006276096,0.0005976565,0.0003840222,0.002473089],"category_scores_gemma":[0.00144052,0.0003958943,0.0004212412,0.001009117,0.0002792637,0.0004496233,0.0003355323,0.0005420666,0.0009994978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001426164,"about_ca_system_score_gemma":0.001136231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02706286,"about_ca_topic_score_gemma":0.0564977,"domain_scores_codex":[0.9995808,0.00004531028,0.00001770584,0.00009853776,0.0002236817,0.00003393677],"domain_scores_gemma":[0.9997029,0.00005322268,0.00002561943,0.0000835294,0.0001221195,0.00001262858],"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":[0.0001442719,0.0002190492,0.05485312,0.0001281261,0.00008939439,0.0001524162,0.0005528101,0.7713434,0.05959544,0.00214025,0.001677566,0.1091041],"study_design_scores_gemma":[0.00003838442,0.0001848847,0.0919999,0.00005005441,0.00006661874,0.0001700945,0.0003459131,0.788015,0.1067284,0.001197312,0.01109135,0.0001120611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6636307,0.00008964529,0.3065414,0.00007700187,0.00007759818,0.0002267377,0.002526487,0.003807909,0.02302266],"genre_scores_gemma":[0.9512593,0.00007144183,0.04533329,0.00001205459,0.000003732294,0.00009724774,0.00135537,0.0001565634,0.001710974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02706286,"threshold_uncertainty_score":0.05381066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628899","doi":"10.26868/25222708.2023.1418","title":"A novel framework for Bayesian calibration of building energy models with sub-hourly building operational data","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Computer science; Calibration; Parametric statistics; Bayesian inference; Bayesian probability; Building model; Data mining; Model building; Inference; Building energy simulation; Data modeling; Energy (signal processing); Machine learning; Artificial intelligence; Simulation; Statistics; Energy performance; Database","authors":[{"name":"Chou Shen","is_ca":true},{"name":"Seungjae Lee","is_ca":true},{"name":"Chi-Guhn Lee","is_ca":true},{"name":"J. W. Lai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05274502879258171,"gpt":0.2783077412398451,"spread":0.2255627124472634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005924407,0.001303653,0.001403162,0.001522671,0.0006547191,0.001774913,0.002904102,0.001647633,0.002304612],"category_scores_gemma":[0.01569565,0.0013925,0.001795935,0.001706505,0.001305931,0.002587032,0.002387122,0.003145383,0.000506093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730534,"about_ca_system_score_gemma":0.002621695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435441,"about_ca_topic_score_gemma":0.01253769,"domain_scores_codex":[0.9971058,0.001294,0.0001283404,0.0005422669,0.0007444272,0.0001851593],"domain_scores_gemma":[0.9953743,0.002636744,0.0006628367,0.0005155609,0.0006834366,0.0001271334],"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":[0.00001559662,0.00002222823,0.0004963106,0.00002562503,0.00004250746,0.00002896143,0.00003941456,0.9476873,0.0004033973,0.03465978,0.0006057414,0.01597307],"study_design_scores_gemma":[0.000003897453,0.000007950743,0.0001555194,0.000006194295,0.000005821872,0.00001443338,0.000004170532,0.9851196,0.0001420042,0.01381174,0.0007183884,0.0000102613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001402178,0.00004879925,0.9978117,0.00006728076,0.000009233649,0.00001313072,0.00006005663,0.00009682361,0.0004908011],"genre_scores_gemma":[0.3927015,0.0008340858,0.6003752,0.0002942484,0.0001979771,0.0005340995,0.001524436,0.000339792,0.00319859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01435441,"threshold_uncertainty_score":0.0313316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628705","doi":"10.26868/25222708.2023.1575","title":"Systematic review of the use of artificial intelligence methods in hospital energy prediction","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Energy consumption; Dominance (genetics); Machine learning; Engineering","authors":[{"name":"Marjan FatehiJananloo","is_ca":true},{"name":"Helen Stopps","is_ca":true},{"name":"J.J. McArthur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05176210238223242,"gpt":0.3047191693004371,"spread":0.2529570669182046,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008576318,0.001231873,0.003710581,0.007792226,0.000395317,0.002144485,0.001775299,0.001286811,0.004454199],"category_scores_gemma":[0.0390491,0.0007863658,0.005625419,0.009041873,0.0006023139,0.001709447,0.001123152,0.001061623,0.0004694504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136392,"about_ca_system_score_gemma":0.01183829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01017266,"about_ca_topic_score_gemma":0.02677273,"domain_scores_codex":[0.9927049,0.002529347,0.002833064,0.0004669167,0.001352822,0.0001129091],"domain_scores_gemma":[0.9636861,0.02931819,0.003363923,0.000434113,0.002997616,0.000200124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001978244,0.00003585855,0.001248653,0.7435558,0.004674845,0.0001294569,0.0001732517,0.0009969355,0.0001982167,0.001137148,0.00595118,0.2417008],"study_design_scores_gemma":[0.0001396307,0.0002814628,0.004372386,0.8885292,0.01909052,0.0003607928,0.0002253103,0.0006706304,0.0003193918,0.00118158,0.08477016,0.00005900169],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000551147,0.9972569,0.000610971,0.0004235947,0.0001417506,0.0001090609,0.0004468395,0.00001038915,0.0004493598],"genre_scores_gemma":[0.005830519,0.991655,0.001489577,0.0003570527,0.00008181601,0.0001826679,0.0002966144,0.000006185619,0.0001005911],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01017266,"threshold_uncertainty_score":0.04535645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628994","doi":"10.26868/25222708.2023.1377","title":"A grey-box modelling methodology for liquid-based building integrated photovoltaic/thermal collectors","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Approximation error; Calibration; Irradiance; Environmental science; Thermal; Mass flow rate; Wind speed; Solar irradiance; Volumetric flow rate; Simulation; Meteorology; Computer science; Marine engineering; Engineering; Mechanics; Mathematics; Electrical engineering; Physics; Statistics; Optics; Algorithm","authors":[{"name":"Jean-Christophe Pelletier-De Koninck","is_ca":true},{"name":"Andreas Athienitis","is_ca":true},{"name":"Hervé Frank Nouanague","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1312745319653119,"gpt":0.3353920549303874,"spread":0.2041175229650755,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007202194,0.0005974809,0.0006413633,0.0003645546,0.000438787,0.0007162017,0.00106357,0.0008249026,0.002796283],"category_scores_gemma":[0.001128293,0.0005196745,0.0009216342,0.0003988554,0.0004480144,0.0006833891,0.0005464483,0.0008169875,0.0005850106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008226195,"about_ca_system_score_gemma":0.001077136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01248267,"about_ca_topic_score_gemma":0.007030589,"domain_scores_codex":[0.9997346,0.00007382047,0.00001619316,0.00004626096,0.0001088118,0.00002026881],"domain_scores_gemma":[0.999631,0.0001853208,0.00004092301,0.00003540771,0.00009824507,0.000009093027],"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":[0.000007715174,0.000005353026,0.0001089301,0.00002445682,0.000007383774,0.00001471475,0.00001752099,0.9938843,0.001855775,0.0009891032,0.00004863587,0.003036144],"study_design_scores_gemma":[0.000002558307,0.000008852235,0.00005637122,0.000003358299,0.000003051442,0.000003830619,0.00000289059,0.9982492,0.0008696567,0.000432711,0.00036419,0.000003328258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02179102,0.0001003283,0.9739581,0.00005200117,0.00002273911,0.0001075352,0.0001346408,0.000494527,0.003338905],"genre_scores_gemma":[0.7844152,0.000322452,0.2088659,0.00005600992,0.00001567719,0.0005794722,0.0003573519,0.0002262133,0.005161719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01248267,"threshold_uncertainty_score":0.02482003,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236667745","doi":"10.26868/25222708.2019.210308","title":"Development and Analysis of Simplified Control-oriented Models for a Group of Institutional Offices","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Simulation Techniques and Applications","field":"Decision Sciences","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":"Group (periodic table); Computer science; Control (management); Artificial intelligence","authors":[{"name":"Jayson Bursill","is_ca":true},{"name":"William O’Brien","is_ca":true},{"name":"Ian Beausoleil-Morrison","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1755040040636282,"gpt":0.3917879697532473,"spread":0.2162839656896191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004649526,0.0006136959,0.0005706561,0.0004507728,0.0004451957,0.0008902993,0.0009909534,0.0007284102,0.00210106],"category_scores_gemma":[0.001400092,0.0003882406,0.0009682457,0.0003937705,0.0004078292,0.0004501239,0.0005262275,0.0005759065,0.0004615552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009292929,"about_ca_system_score_gemma":0.001630799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03628289,"about_ca_topic_score_gemma":0.01672819,"domain_scores_codex":[0.999738,0.00005521461,0.00001667387,0.00005750502,0.00009261542,0.00003990366],"domain_scores_gemma":[0.9994636,0.0001948549,0.00007153034,0.0000750296,0.0001692009,0.00002586414],"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":[0.00001001868,0.00001210874,0.0005305036,0.00001060644,0.000003806533,0.00001948899,0.0000255457,0.9959688,0.0006505825,0.0008207798,0.00006770109,0.001879996],"study_design_scores_gemma":[0.000003549441,0.000008962498,0.0002557861,0.000002156488,0.000002901733,0.000004062803,0.00001030083,0.9985456,0.0004541296,0.0003669349,0.0003423629,0.000003145449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2247778,0.00007947072,0.7606299,0.000117753,0.0000453138,0.0002241922,0.000752574,0.001148309,0.01222465],"genre_scores_gemma":[0.8945807,0.0001327152,0.09926943,0.00002900469,0.000009981684,0.0004018417,0.000885378,0.0001544736,0.004536472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03628289,"threshold_uncertainty_score":0.07214344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628832","doi":"10.26868/25222708.2023.1394","title":"Development of a surrogate model for interactive early-stage net-zero building design","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":true},"ca_institutions":"University of Victoria","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Computer science; Surrogate model; Hyperparameter; Building design; Machine learning; Leverage (statistics); Artificial neural network; Efficient energy use; Artificial intelligence; Zero-energy building; Industrial engineering; Simulation; Systems engineering; Engineering; Architectural engineering","authors":[{"name":"David Rulff","is_ca":true},{"name":"Evins Ralph","is_ca":true},{"name":"C Kévin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06562256540834084,"gpt":0.2920980544922269,"spread":0.226475489083886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00174336,0.0006994695,0.0006378383,0.0005382703,0.0003757781,0.001538381,0.001458433,0.001062253,0.008447336],"category_scores_gemma":[0.004948329,0.0005313531,0.0007852423,0.0004049176,0.0005333758,0.001041175,0.001320476,0.001597712,0.001527499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009484605,"about_ca_system_score_gemma":0.001969529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002862276,"about_ca_topic_score_gemma":0.004923765,"domain_scores_codex":[0.999325,0.0002047974,0.00002989467,0.00006006969,0.0003312165,0.00004897843],"domain_scores_gemma":[0.9984605,0.0008469642,0.00008679408,0.0001846143,0.0003520971,0.00006901097],"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":[0.0000376886,0.00002710376,0.0005303848,0.00007393271,0.00001021508,0.00003024219,0.00003187171,0.9785624,0.001525961,0.008274497,0.001063151,0.009832583],"study_design_scores_gemma":[0.000007166301,0.0000171018,0.00006366383,0.00001374673,0.00000222258,0.000007571195,0.000007597559,0.9934431,0.001225683,0.002480479,0.002725815,0.000005912348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02397859,0.0001235152,0.955969,0.0003220161,0.0001008084,0.0001615523,0.0008445351,0.002278309,0.01622166],"genre_scores_gemma":[0.5068495,0.0002875098,0.4780909,0.0002359499,0.00003208577,0.0008753444,0.002272162,0.001389637,0.009966972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008447336,"threshold_uncertainty_score":0.02825922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4243031019","doi":"10.26868/25222708.2019.210271","title":"Building Performance Optimization for Operational Rule Extraction","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"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; Concordia University; Carleton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Extraction (chemistry); Chromatography","authors":[{"name":"H. Burak Gunay","is_ca":true},{"name":"Mohamed Ouf","is_ca":true},{"name":"Guy R. Newsham","is_ca":true},{"name":"William O’Brien","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02766294329147446,"gpt":0.2650512346132826,"spread":0.2373882913218081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001444953,0.001203722,0.001095488,0.001362034,0.0004658552,0.001186854,0.0008363844,0.0007357884,0.002345251],"category_scores_gemma":[0.006214032,0.0005159259,0.001157232,0.001407772,0.0004186656,0.0007616248,0.0004851098,0.001054679,0.0004509932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071801,"about_ca_system_score_gemma":0.001844181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01281531,"about_ca_topic_score_gemma":0.01003368,"domain_scores_codex":[0.9991217,0.0003318506,0.00005754997,0.000121794,0.0002654208,0.000101796],"domain_scores_gemma":[0.9975339,0.001911286,0.0001292001,0.0000889302,0.0003068163,0.00002985438],"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":[0.0000292852,0.0000536079,0.0006840315,0.00006465595,0.00002543381,0.0000527117,0.0000308557,0.9559396,0.00109304,0.001629925,0.0003302417,0.04006657],"study_design_scores_gemma":[0.000004890585,0.00001919938,0.0001946754,0.00001159468,0.00001228752,0.000010543,0.00001470195,0.997503,0.0008082498,0.001145217,0.0002715285,0.000004139766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06682,0.0002794797,0.9251717,0.0001358486,0.00002076414,0.0002323181,0.0005086823,0.0006511819,0.006179931],"genre_scores_gemma":[0.6542307,0.0002443671,0.3427698,0.00005337586,0.00001788688,0.0003649802,0.001116155,0.00007873245,0.001124007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01281531,"threshold_uncertainty_score":0.0254814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628588","doi":"10.26868/25222708.2023.1175","title":"Using surrogate modelling and stochastic optimization for optimal day-ahead demand response strategies under weather uncertainty","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Smart Grid Energy Management","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; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demand response; Robustness (evolution); Computer science; HVAC; Flexibility (engineering); Mathematical optimization; Surrogate model; Renewable energy; Stochastic programming; Stochastic optimization; Electricity; Air conditioning; Engineering; Machine learning; Mathematics","authors":[{"name":"Qiwei Qin","is_ca":true},{"name":"Kevin Cant","is_ca":true},{"name":"Danlin Hou","is_ca":true},{"name":"Ralph Evins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06472494548077462,"gpt":0.2980382211994312,"spread":0.2333132757186566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001770408,0.001169309,0.001465649,0.0005814429,0.0004277699,0.001407803,0.0006384325,0.001569143,0.001798943],"category_scores_gemma":[0.004152161,0.0007666686,0.001209826,0.0007302744,0.0007629861,0.0009118614,0.001096307,0.00143441,0.0002308639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008369695,"about_ca_system_score_gemma":0.001436673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00537251,"about_ca_topic_score_gemma":0.003295264,"domain_scores_codex":[0.999357,0.0003644682,0.00002615635,0.00005058841,0.0001355078,0.0000662057],"domain_scores_gemma":[0.9977642,0.001712848,0.0001853124,0.00007325028,0.0001993981,0.00006499289],"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":[0.000008525828,0.00000509963,0.00004433339,0.000007961223,0.000005957735,0.000006077419,0.000003622675,0.9976118,0.00009644253,0.001341132,0.00004538684,0.0008237069],"study_design_scores_gemma":[0.000001212087,0.000003536452,0.000008077267,0.000001211994,6.701698e-7,9.261335e-7,9.603073e-7,0.9994668,0.0000314677,0.0004450018,0.00003915155,0.000001041327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02175672,0.0002313494,0.9732847,0.0002423063,0.00004652161,0.0000379042,0.00007650757,0.0001505104,0.0041736],"genre_scores_gemma":[0.8765035,0.0003473113,0.1191871,0.0001195465,0.00004917676,0.0002528998,0.0003050426,0.0001477071,0.003087728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00537251,"threshold_uncertainty_score":0.01068252,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4236231018","doi":"10.26868/25222708.2019.210721","title":"The Impact Of Plants On HVAC System Performance In Cold Climate: A Parametric Study","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"HVAC; Cold climate; Parametric statistics; Environmental science; Computer science; Engineering; Meteorology; Air conditioning; Mechanical engineering; Geography; Statistics; Mathematics","authors":[{"name":"Timothé Lalonde","is_ca":true},{"name":"Marie-Hélène Talbot","is_ca":true},{"name":"Danielle Monfet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03758488130904291,"gpt":0.2704251880956449,"spread":0.232840306786602,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003717723,0.0004257879,0.0004732431,0.0002712661,0.0004721433,0.0007807937,0.0005227642,0.0008137736,0.001848507],"category_scores_gemma":[0.0009023292,0.0002012907,0.0005693071,0.0002214462,0.0004966275,0.0005009173,0.0004745308,0.0004772732,0.000192536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864346,"about_ca_system_score_gemma":0.0003073531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004578182,"about_ca_topic_score_gemma":0.002694138,"domain_scores_codex":[0.9997787,0.00004920122,0.00000737349,0.00003274896,0.00004665111,0.00008534043],"domain_scores_gemma":[0.9994794,0.0003528888,0.00004027691,0.00004815902,0.00004642375,0.00003283183],"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":[0.0004167877,0.0001417956,0.006465898,0.0001004914,0.00003599954,0.0002217585,0.0001470985,0.9588423,0.02866421,0.0003104205,0.0001586279,0.004494766],"study_design_scores_gemma":[0.0000797528,0.001631798,0.02146731,0.00002176826,0.00009424819,0.0001595442,0.0004650826,0.9326201,0.04203387,0.0004170185,0.0009470405,0.00006251123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960031,0.00004024837,0.002520615,0.00001921182,0.000006952461,0.00001191311,0.00008682455,0.0000469822,0.001264016],"genre_scores_gemma":[0.9994645,0.00001532367,0.0002764398,0.000002330409,9.192922e-7,0.000006450562,0.00002456005,0.000004228639,0.0002052407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004578182,"threshold_uncertainty_score":0.00910306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628970","doi":"10.26868/25222708.2023.1414","title":"Human-centric lighting assessment of balcony design","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science; Architectural engineering; Engineering","authors":[{"name":"J. Alstan Jakubiec","is_ca":false},{"name":"Eliany Rodriguez","is_ca":false},{"name":"A C Li","is_ca":false},{"name":"Terri Peters","is_ca":false},{"name":"Ted Kesik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07101071178375858,"gpt":0.3580052066355096,"spread":0.286994494851751,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106379,0.0005034193,0.0003780145,0.0004925419,0.0003826695,0.001205669,0.0005900341,0.0004479734,0.002056413],"category_scores_gemma":[0.002742049,0.0002114061,0.0003236357,0.0005384776,0.0004438294,0.0003853742,0.0006324168,0.0003348511,0.0001523022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847717,"about_ca_system_score_gemma":0.0011994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0331199,"about_ca_topic_score_gemma":0.05619745,"domain_scores_codex":[0.9992536,0.0003596625,0.00001994394,0.00006337132,0.0001993899,0.0001040636],"domain_scores_gemma":[0.9989197,0.0004888634,0.0001023385,0.0001237704,0.0003000366,0.00006525863],"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":[0.0001200641,0.00008074331,0.02798717,0.00005441158,0.00004295555,0.00006354754,0.0001838964,0.95183,0.003144704,0.001487577,0.0003959969,0.01460889],"study_design_scores_gemma":[0.00003959714,0.0004679199,0.03807627,0.00002481064,0.00003670742,0.00005938836,0.0007396843,0.9487972,0.00662884,0.002189702,0.002894873,0.0000449482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948891,0.00006441258,0.03908038,0.0001193143,0.00001037253,0.0001070998,0.0003457411,0.0001171359,0.01126446],"genre_scores_gemma":[0.9937007,0.00001867051,0.005515086,0.00001161412,9.20161e-7,0.00003487618,0.00008768406,0.0000131047,0.0006172537],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0331199,"threshold_uncertainty_score":0.06585419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4253203007","doi":"10.26868/25222708.2019.210196","title":"A Generalized Inhomogeneous Markov Chain Occupancy Model For Open-Plan Offices Using Real Time Locating System Data","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Smart Parking Systems Research","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":"Concordia University","funders":"","keywords":"Occupancy; Markov chain; Computer science; Plan (archaeology); Data modeling; Real-time computing; Chain (unit); Machine learning; Engineering; Database","authors":[{"name":"Shide Salimi","is_ca":true},{"name":"Amin Hammad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1736633123383023,"gpt":0.351553892856812,"spread":0.1778905805185098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230384,0.0006563666,0.001003105,0.0006041123,0.0004313583,0.001102688,0.002646331,0.001106153,0.002221086],"category_scores_gemma":[0.002353345,0.0006447063,0.00104983,0.0008296026,0.0009338182,0.001350013,0.0007862879,0.001114689,0.0003887591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269292,"about_ca_system_score_gemma":0.001373315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03959281,"about_ca_topic_score_gemma":0.02668422,"domain_scores_codex":[0.9993262,0.0001649344,0.00003643068,0.0002092889,0.0001227121,0.0001403971],"domain_scores_gemma":[0.9989498,0.0005888587,0.0001538458,0.00007826419,0.0001691306,0.00006013539],"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":[0.00002859236,0.00001259673,0.0008680272,0.00001508136,0.000008759994,0.00004322517,0.00002839267,0.9933692,0.0002872208,0.003238314,0.0001256396,0.001974909],"study_design_scores_gemma":[0.000002124542,0.000004222893,0.0001397112,0.000001164024,0.000003001149,0.000004136881,0.00000343364,0.9991521,0.00003676817,0.0006064452,0.00004384091,0.000003055536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1068518,0.0002128268,0.8889272,0.0002994532,0.00006019039,0.00007915968,0.0005749488,0.0004924409,0.002501914],"genre_scores_gemma":[0.9729574,0.0002109165,0.02229712,0.00006117293,0.00003668484,0.0001753256,0.0005652633,0.00004823354,0.003648021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03959281,"threshold_uncertainty_score":0.07872468,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4294531097","doi":"10.26868/25222708.2017.164","title":"Towards a Comprehensive Tool to Model Occupant Behaviour for Dwellings that Combines Domestic Hot Water Use with Active Occupancy","year":2017,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Occupancy; Computer science; Scale (ratio); Generator (circuit theory); Consumption (sociology); Operations research; Civil engineering; Engineering; Geography","authors":[{"name":"Jean L. Rouleau","is_ca":false},{"name":"Alfonso P. Ramallo-González","is_ca":false},{"name":"Louis Gosselin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0619657644045054,"gpt":0.2986419914604603,"spread":0.2366762270559549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009149139,0.001361845,0.0009315095,0.0008884921,0.0003437799,0.001331002,0.001674667,0.001275445,0.003491118],"category_scores_gemma":[0.002738403,0.0008066818,0.001471724,0.001093216,0.0002944926,0.001234203,0.00103163,0.001079955,0.001037193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005254105,"about_ca_system_score_gemma":0.001104683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368419,"about_ca_topic_score_gemma":0.0138662,"domain_scores_codex":[0.9997128,0.00007980823,0.00002815004,0.00005511405,0.00009879563,0.00002539143],"domain_scores_gemma":[0.9991634,0.0004187837,0.00006898063,0.0001136894,0.0001856706,0.00004944971],"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":[0.00004425881,0.000120141,0.004292934,0.00009204512,0.00008001528,0.00006620852,0.0001023872,0.969695,0.002175545,0.002382993,0.001325104,0.01962338],"study_design_scores_gemma":[0.000007366518,0.00001999778,0.00030654,0.000009312623,0.00001006849,0.0000174957,0.00001568872,0.9967571,0.0006422567,0.00086011,0.001344585,0.00000944133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0459496,0.0001090446,0.9394339,0.0001577528,0.00005038031,0.0001333024,0.00166961,0.01003697,0.002459471],"genre_scores_gemma":[0.4968367,0.0003273819,0.4929585,0.0001381932,0.00004348257,0.0005950171,0.00473492,0.001324047,0.003041803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01368419,"threshold_uncertainty_score":0.02720904,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628694","doi":"10.26868/25222708.2023.1690","title":"Estimating the impact of building retrofit measures on the operational greenhouse emissions of medium office buildings – A case study in Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":true},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Greenhouse gas; Environmental science; Electricity; HVAC; Environmental engineering; Air conditioning; Engineering","authors":[{"name":"Andrés Gallardo","is_ca":true},{"name":"Iain Macdonald","is_ca":true},{"name":"Heather Knudsen","is_ca":true},{"name":"Mariana Barssoum","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04030705150357983,"gpt":0.2815847140109544,"spread":0.2412776625073745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004213045,0.000693895,0.000352779,0.0007305208,0.001079835,0.001132814,0.00086115,0.0003725746,0.001049176],"category_scores_gemma":[0.001082597,0.0002910541,0.0007856206,0.001922184,0.0005850596,0.0003082328,0.0003984563,0.0003395678,0.00008814518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02864244,"about_ca_system_score_gemma":0.01319702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935244,"about_ca_topic_score_gemma":0.9952984,"domain_scores_codex":[0.9994424,0.00005898582,0.00002012776,0.00006091066,0.0002298549,0.0001877133],"domain_scores_gemma":[0.9992797,0.0001868945,0.00006909434,0.00003228199,0.0003793338,0.00005279006],"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":[0.0006906111,0.0003379165,0.4553239,0.0005002834,0.0003408795,0.002232323,0.001154975,0.4841066,0.01001407,0.00189065,0.002117057,0.04129063],"study_design_scores_gemma":[0.00009481853,0.0002753128,0.6837187,0.00007290185,0.0003119021,0.0002018877,0.0056168,0.2966546,0.00550295,0.0003965191,0.007040551,0.000113143],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930936,0.0001702068,0.001271273,0.00006411856,0.000003595112,0.0000774439,0.001118812,0.00002751497,0.004173499],"genre_scores_gemma":[0.996141,0.0001747528,0.001435963,0.000009671548,0.00000136179,0.00002044093,0.0007204692,0.000007415546,0.001488837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02864244,"threshold_uncertainty_score":0.2078164,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628720","doi":"10.26868/25222708.2023.1381","title":"Stochastic-based occupant-centric building archetype modelling using plug loads","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","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":true},"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Occupancy; Computer science; Context (archaeology); Stochastic modelling; Energy management; Energy consumption; Energy modeling; Energy (signal processing); Greenhouse gas; Simulation; Architectural engineering; Engineering; Business","authors":[{"name":"Sanam Dabirian","is_ca":true},{"name":"Negarsadat Rahimi","is_ca":true},{"name":"Ursula Eicker","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05839859811396705,"gpt":0.2795186057388718,"spread":0.2211200076249048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940033,0.0007814234,0.0006131905,0.0005383429,0.0004330024,0.001120794,0.001496232,0.0009639564,0.004221605],"category_scores_gemma":[0.000993485,0.0006304826,0.00152958,0.0006242293,0.0005120011,0.0006484122,0.0009150682,0.000768051,0.0005423943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065263,"about_ca_system_score_gemma":0.001004004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03451599,"about_ca_topic_score_gemma":0.02833867,"domain_scores_codex":[0.9997354,0.00006739242,0.0000126806,0.00004363956,0.0000841428,0.00005672391],"domain_scores_gemma":[0.999652,0.0001506356,0.00004540915,0.00003267855,0.00007878178,0.0000404255],"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":[0.000006495073,0.000008549149,0.0003003629,0.000007507577,0.00000570947,0.00001656128,0.0000121832,0.9968988,0.0001439776,0.001631855,0.0001068576,0.0008612481],"study_design_scores_gemma":[0.000001254381,0.000002259819,0.0000674895,0.000001356973,0.000001498069,0.000002610342,0.000003881779,0.9991488,0.00003225825,0.0005143331,0.0002227537,0.000001531124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1648271,0.0005320962,0.7998853,0.0003156501,0.0001333828,0.0001571753,0.001456766,0.0009696192,0.03172291],"genre_scores_gemma":[0.9534247,0.000379115,0.03465833,0.00007494142,0.00003641897,0.0001793631,0.000866745,0.0001648586,0.01021549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03451599,"threshold_uncertainty_score":0.06863016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4234839756","doi":"10.26868/25222708.2019.210406","title":"Inhabitants’ Adaptive Strategies: A Case of Interactive Control in Residential Buildings","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Urban Planning and Valuation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control (management); Architectural engineering; Computer science; Engineering; Artificial intelligence","authors":[{"name":"Vinu Subashini Rajus","is_ca":true},{"name":"Robert Woodbury","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04201334063865248,"gpt":0.3002060635992732,"spread":0.2581927229606207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001372373,0.0004446028,0.000259968,0.0006885451,0.003805174,0.003382642,0.001157305,0.001772905,0.002604793],"category_scores_gemma":[0.003908444,0.0002665056,0.0003953559,0.0006310356,0.008967502,0.001166083,0.002583207,0.0009267105,0.0001558081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002201513,"about_ca_system_score_gemma":0.0007294699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0290941,"about_ca_topic_score_gemma":0.03045661,"domain_scores_codex":[0.997575,0.001579454,0.00004440791,0.0001876671,0.0002368626,0.000376697],"domain_scores_gemma":[0.9975655,0.001602639,0.0001523591,0.0002117695,0.0001297324,0.0003380732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004959318,0.000683656,0.04274927,0.0001588991,0.0000808221,0.01970012,0.8049298,0.01371473,0.009019802,0.0803679,0.001061994,0.02703705],"study_design_scores_gemma":[0.0001609767,0.0006137131,0.0420524,0.0001379015,0.0001149924,0.006133085,0.8028442,0.06540006,0.005795428,0.03967506,0.03688788,0.0001843391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747259,0.00004843056,0.004536083,0.0003296118,0.000003951104,0.00003727392,0.000009328778,0.00002461117,0.02028492],"genre_scores_gemma":[0.9986644,0.00001175454,0.0005599712,0.00001593472,9.654281e-7,0.00001008179,0.000002692988,0.000003033183,0.0007312364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0290941,"threshold_uncertainty_score":0.05784953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4241061965","doi":"10.26868/25222708.2019.210251","title":"On Formulation and Training of Grey-box Thermal Model for Low-rise Residential Buildings","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; National Research Council Canada","funders":"","keywords":"Training (meteorology); Computer science; Architectural engineering; Engineering; Geography; Meteorology","authors":[{"name":"Zixiao Shi","is_ca":true},{"name":"Guy R. Newsham","is_ca":true},{"name":"Ajit Pardasani","is_ca":true},{"name":"H. Burak Gunay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03472597708066938,"gpt":0.2521534498979454,"spread":0.217427472817276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978269,0.0005628748,0.0007122658,0.0002600052,0.0002728709,0.0006633562,0.0007633828,0.0009719409,0.002963699],"category_scores_gemma":[0.001836075,0.0004581257,0.000672523,0.0003286817,0.0004468021,0.0005447987,0.000530237,0.001010062,0.0004849392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116706,"about_ca_system_score_gemma":0.000830929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106132,"about_ca_topic_score_gemma":0.009040164,"domain_scores_codex":[0.9998583,0.0000584617,0.000006961437,0.00002756065,0.00003341592,0.00001535899],"domain_scores_gemma":[0.9994974,0.0003655977,0.00003024717,0.00002501668,0.00006361151,0.00001807309],"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":[0.000004764325,0.000003742908,0.00008216577,0.00001485769,0.000002411791,0.0000116111,0.000008916539,0.9956644,0.0003032468,0.0008446185,0.00007411034,0.002985153],"study_design_scores_gemma":[6.000756e-7,0.000002182128,0.00002086906,0.000001694541,4.549561e-7,0.000001320688,0.000001200939,0.9994659,0.00009682323,0.0003305087,0.00007782636,6.751323e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02319631,0.0002377294,0.9729924,0.0001443898,0.00002484522,0.00004925164,0.000101377,0.0003525566,0.002901111],"genre_scores_gemma":[0.7706633,0.0005325315,0.2216012,0.0001196432,0.00003731883,0.0003175351,0.0004859907,0.0001964983,0.006045977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0106132,"threshold_uncertainty_score":0.02110285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628986","doi":"10.26868/25222708.2023.1397","title":"A bibliometric analysis of immersive virtual environment applications for occupant comfort and behavior research","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":1,"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":"Computer science; Virtual reality; Domain (mathematical analysis); Human–computer interaction; Energy consumption; Architectural engineering; Perception; Data science; Engineering; Psychology","authors":[{"name":"Haneen Alamirah","is_ca":false},{"name":"Marcel Schweiker","is_ca":false},{"name":"Elie Azar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1428937142417354,"gpt":0.4166083407883159,"spread":0.2737146265465805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01455731,0.0008755115,0.002909993,0.2617701,0.002721107,0.006795092,0.001278111,0.000993202,0.005368083],"category_scores_gemma":[0.0865626,0.0005255605,0.002045242,0.3203971,0.001414563,0.004311121,0.003386034,0.0006225259,0.001008672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005720854,"about_ca_system_score_gemma":0.01438682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01069138,"about_ca_topic_score_gemma":0.01215848,"domain_scores_codex":[0.9758738,0.004543619,0.006341048,0.00165605,0.01068716,0.0008982614],"domain_scores_gemma":[0.8653609,0.08639751,0.01532807,0.003461913,0.02772399,0.001727587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004973678,0.000259906,0.1799174,0.1564266,0.002645549,0.001519444,0.01222593,0.001819447,0.003919521,0.01990276,0.04484957,0.5760164],"study_design_scores_gemma":[0.0001305018,0.0005116387,0.591085,0.06211495,0.007429362,0.00261797,0.02490116,0.004264065,0.003780566,0.008716525,0.2941112,0.0003370607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4044191,0.3409826,0.01102896,0.007285037,0.000837985,0.003967707,0.1435618,0.0006733482,0.08724339],"genre_scores_gemma":[0.6987764,0.2146364,0.02149064,0.0006571527,0.0005947063,0.004555916,0.05444048,0.0001714722,0.004676846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7382299,"threshold_uncertainty_score":0.07698727,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628566","doi":"10.26868/25222708.2023.1675","title":"Solar Photovoltaics and Battery Energy Storage systems potential for grid flexibility and to address electrical demand of air-source heat pump systems in canadian homes","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Photovoltaics; Automotive engineering; Photovoltaic system; Grid; Flexibility (engineering); Battery (electricity); Peak demand; Environmental science; Computer science; Process engineering; Electricity; Electrical engineering; Engineering; Power (physics)","authors":[{"name":"Charles-Antoine Deslauriers","is_ca":false},{"name":"Justin Tamasauskas","is_ca":false},{"name":"Martin Kegel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01438226539562393,"gpt":0.2346713461001214,"spread":0.2202890807044975,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001438197,0.0003161248,0.0002712725,0.0001718881,0.0007218104,0.0007631737,0.0004438002,0.0003160648,0.001592168],"category_scores_gemma":[0.0003077363,0.0001803075,0.0004084485,0.0004699182,0.0002489717,0.0003708236,0.0002642409,0.0003762154,0.0001099755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003583676,"about_ca_system_score_gemma":0.003927507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7212437,"about_ca_topic_score_gemma":0.8430669,"domain_scores_codex":[0.9999081,0.00001381554,0.000002666121,0.00001165539,0.00003009627,0.00003376548],"domain_scores_gemma":[0.9999257,0.00001390673,0.000005940869,0.000007849512,0.00003525726,0.00001124964],"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":[0.00009947053,0.00005374678,0.01118063,0.00004256175,0.00002945508,0.00008335967,0.00006079027,0.970637,0.005206699,0.002444879,0.001157716,0.009003781],"study_design_scores_gemma":[0.00003514534,0.00006524067,0.01920673,0.00001018375,0.00003124287,0.00002986366,0.000322325,0.9716349,0.00373847,0.0008854461,0.00401461,0.00002578738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633932,0.0001851694,0.0101245,0.0004213674,0.00002691763,0.00003552917,0.001006327,0.0001941878,0.0246129],"genre_scores_gemma":[0.9970006,0.00007727637,0.001273471,0.00001720105,0.000001366532,0.000006188376,0.0001842471,0.000009797884,0.001429959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2787563,"threshold_uncertainty_score":0.5607959,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628937","doi":"10.26868/25222708.2023.1376","title":"Surrogate Modeling performance for building design problems","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Energy Load and Power Forecasting","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Alberta Energy; University of Victoria","funders":"","keywords":"Surrogate model; Computer science; Energy performance; Efficient energy use; Surrogate endpoint; Energy (signal processing); Reliability engineering; Artificial intelligence; Machine learning; Engineering; Mathematics","authors":[{"name":"Blair Birdsell","is_ca":true},{"name":"Ralph Evins","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07654674412662912,"gpt":0.2737537038733637,"spread":0.1972069597467346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006764476,0.001092518,0.001215773,0.0008125122,0.0004367555,0.001741764,0.0007768805,0.001409317,0.002465881],"category_scores_gemma":[0.0226528,0.0004437359,0.001037168,0.0008882636,0.0007103538,0.001189031,0.001142501,0.001609362,0.000466576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008682975,"about_ca_system_score_gemma":0.0009944675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979689,"about_ca_topic_score_gemma":0.001224633,"domain_scores_codex":[0.9969866,0.002035552,0.0001284868,0.0001657977,0.0005611743,0.0001224493],"domain_scores_gemma":[0.9858385,0.01195019,0.0005041269,0.0005823634,0.0009324201,0.0001923401],"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":[0.00003948597,0.00001504188,0.000309748,0.00003740397,0.00001215746,0.00001384077,0.00001322308,0.9868131,0.0002635507,0.006805636,0.0002076385,0.005469195],"study_design_scores_gemma":[0.000003278786,0.00001944842,0.00004631445,0.000005756183,0.000001644706,0.000005238386,0.000003034545,0.9967697,0.0001443868,0.002812303,0.0001869777,0.000001992002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03964836,0.0007238548,0.9515542,0.0004744732,0.00008109847,0.00006601967,0.0001523104,0.0002908194,0.007008823],"genre_scores_gemma":[0.7936381,0.0006281489,0.2019669,0.0001546048,0.00004995426,0.000257137,0.0004956455,0.0001509911,0.002658609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006764476,"threshold_uncertainty_score":0.03577435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416704924","doi":"10.26868/25222708.2025.1351","title":"Modelling the impact of occupant behaviour on direct load control of HVAC systems","year":2025,"lang":"","type":"article","venue":"Building Simulation Conference proceedings","topic":"Smart Grid Energy Management","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":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Ministry of Colleges and Universities","keywords":"Thermostat; HVAC; Demand response; Robustness (evolution); Electricity; Python (programming language); Economizer; Load profile","authors":[{"name":"H. Burak Gunay","is_ca":false},{"name":"Farid Bahiraei","is_ca":false},{"name":"Darwish Darwazeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02551358670455363,"gpt":0.286436547522543,"spread":0.2609229608179894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003313484,0.0005483624,0.0003063459,0.0001978285,0.0003009516,0.0005446806,0.0008244542,0.0005638091,0.00210961],"category_scores_gemma":[0.00109854,0.0003236749,0.0004140978,0.0002042199,0.000420075,0.00045509,0.000435777,0.0004726584,0.0002024807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001144888,"about_ca_system_score_gemma":0.001106708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08268367,"about_ca_topic_score_gemma":0.07286771,"domain_scores_codex":[0.9998184,0.00004338643,0.000006398234,0.00003752971,0.00003830252,0.00005607268],"domain_scores_gemma":[0.9995971,0.0002234261,0.00005243248,0.00003080707,0.00006290824,0.0000332752],"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":[0.00003792315,0.00003872858,0.004045728,0.00001403281,0.000008367579,0.00002384847,0.0000307157,0.9924034,0.000994608,0.0003670677,0.0001044138,0.001931109],"study_design_scores_gemma":[0.000003625501,0.00002743091,0.001990312,0.000001998664,0.000004760694,0.000005454551,0.00001672463,0.9973279,0.0003692038,0.0001570879,0.00009228085,0.000003194256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951535,0.0001070725,0.04177929,0.0001179023,0.00002125831,0.00005462402,0.0004504381,0.0001385204,0.00579594],"genre_scores_gemma":[0.9967992,0.00004021806,0.001979969,0.000009301042,0.000002614313,0.00001626536,0.00009269063,0.00001301502,0.001046606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08268367,"threshold_uncertainty_score":0.1644048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628710","doi":"10.26868/25222708.2023.1460","title":"Optimal design ofenergy-saving renovation oriented for ultra-low energy housings and carbon emission in cold region","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Roof; Greenhouse gas; Energy consumption; Benchmark (surveying); Energy (signal processing); Efficient energy use; Environmental science; Computer science; Engineering; Civil engineering; Electrical engineering; Mathematics","authors":[{"name":"Yibo Chen","is_ca":false},{"name":"Er Linag","is_ca":false},{"name":"Min Guo","is_ca":false},{"name":"Umberto Berardi","is_ca":true},{"name":"Mengkun Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02580550546533048,"gpt":0.2411974976341865,"spread":0.2153919921688561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004761847,0.0006030529,0.0006291164,0.000376049,0.0003265291,0.0006581408,0.0005000784,0.0004265897,0.001583295],"category_scores_gemma":[0.0004368569,0.0003881323,0.0008918908,0.0002828182,0.0004594369,0.0005714799,0.0005349807,0.0003267714,0.000134107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006539224,"about_ca_system_score_gemma":0.0007278111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005634039,"about_ca_topic_score_gemma":0.005839451,"domain_scores_codex":[0.9997693,0.00007361564,0.000006485207,0.00004011163,0.00004376261,0.00006681732],"domain_scores_gemma":[0.9999059,0.00002666409,0.00002005688,0.00001111272,0.00002492197,0.0000113404],"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":[0.00006128867,0.0000258294,0.0009220511,0.00003623764,0.00001499738,0.00005837445,0.00001965751,0.9876415,0.005547462,0.001560141,0.0001096637,0.004002797],"study_design_scores_gemma":[0.00002893033,0.0001328007,0.001249823,0.000005799965,0.0000274261,0.00002087704,0.00005794621,0.9940142,0.002790388,0.001009459,0.0006520007,0.00001026372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6928307,0.0004571217,0.2934174,0.0001229719,0.00004638553,0.0001101836,0.000103967,0.0001951068,0.01271623],"genre_scores_gemma":[0.9855406,0.0001128209,0.01300482,0.00001299247,0.000002368212,0.00004574682,0.00004092213,0.00002153603,0.001218222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005634039,"threshold_uncertainty_score":0.01120251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392628927","doi":"10.26868/25222708.2023.1399","title":"A novel model reduction and calibration methodology to define lumped parameters of building thermal models","year":2023,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; Concordia University","funders":"","keywords":"Thermostat; Computer science; Reduction (mathematics); Calibration; Building model; Model order reduction; Thermal mass; Interval (graph theory); Thermal; Mathematical optimization; Engineering; Algorithm; Simulation; Mathematics; Mechanical engineering; Statistics","authors":[{"name":"Anthony Maturo","is_ca":true},{"name":"Andreas Athienitis","is_ca":true},{"name":"Benoit Delcroix","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.107264865236366,"gpt":0.29666572282542,"spread":0.189400857589054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006481193,0.0009669879,0.0006424764,0.0007364163,0.0003966591,0.0006680366,0.001078219,0.0005293722,0.002831009],"category_scores_gemma":[0.001816318,0.0006130461,0.001435456,0.000440448,0.000384775,0.0007115109,0.0008111069,0.001596325,0.001177991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004278796,"about_ca_system_score_gemma":0.000891989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002794919,"about_ca_topic_score_gemma":0.002904608,"domain_scores_codex":[0.9996087,0.0001063063,0.00002036664,0.00007522406,0.0001633005,0.00002621871],"domain_scores_gemma":[0.9995874,0.0001578794,0.0000418233,0.0001126177,0.00009107596,0.000009325306],"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":[0.00002125647,0.00005443146,0.0003208782,0.0001377764,0.00005988431,0.00006327475,0.0001067834,0.8311483,0.01716421,0.04971209,0.001174959,0.1000361],"study_design_scores_gemma":[0.000005743131,0.00002116972,0.0001008971,0.00001250518,0.00001545779,0.00004378014,0.0000108173,0.977794,0.004029179,0.01159737,0.00635795,0.00001119971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005591624,0.00001290927,0.9987909,0.000009276478,0.000004854021,0.00000900559,0.00002041554,0.0001918021,0.0004017116],"genre_scores_gemma":[0.1037827,0.0001430015,0.8923368,0.00005243776,0.00002955675,0.0002158702,0.000406857,0.0004734821,0.002559172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002831009,"threshold_uncertainty_score":0.009470701,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4286380869","doi":"10.26868/25222708.2021.30643","title":"Effect of selected passive cooling measures on overheating in residential buildings in Canada","year":2021,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Building energy efficiency and sustainability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Overheating (electricity); Passive cooling; Environmental science; Architectural engineering; Nuclear engineering; Meteorology; Engineering; Electrical engineering; Thermal; Geography","authors":[{"name":"Michal Bartko","is_ca":false},{"name":"Abdelaziz Laouadi","is_ca":false},{"name":"Michael Lacasse","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007033057986115298,"gpt":0.2347196150058954,"spread":0.2276865570197801,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000347557,0.0002659989,0.0004558809,0.0002898241,0.001169103,0.001098046,0.0009751688,0.0003603559,0.002435332],"category_scores_gemma":[0.001529719,0.000205117,0.0003798869,0.0004873758,0.0005471073,0.0002540176,0.000374404,0.0003909475,0.0001119121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01993937,"about_ca_system_score_gemma":0.01454654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802146,"about_ca_topic_score_gemma":0.9897405,"domain_scores_codex":[0.9996678,0.00004986822,0.00001112454,0.00004078308,0.00009257281,0.0001379189],"domain_scores_gemma":[0.9991398,0.0002294503,0.000036521,0.00002198512,0.0004461909,0.0001260386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01064711,0.002824587,0.426968,0.0005800291,0.0003852843,0.0005480058,0.003798879,0.4252986,0.03330736,0.002957667,0.006625198,0.08605931],"study_design_scores_gemma":[0.0002112692,0.001088394,0.8731335,0.00005348654,0.0001964415,0.0000471959,0.005250659,0.101535,0.01342709,0.0002994784,0.004670358,0.00008702828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980599,0.00003893346,0.00009603795,0.00003532752,0.00000403122,0.00001159778,0.0001920368,0.00001277933,0.001549364],"genre_scores_gemma":[0.9984264,0.00004004443,0.00009274469,0.000006989559,5.947002e-7,0.000004890026,0.0001134757,0.000003961983,0.001310735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993937,"threshold_uncertainty_score":0.144671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}