{"meta":{"query_hash":"d453d061d3eb","filters":{"venue":"Developments in the Built Environment"},"cohort_total":15,"direct_labels_cover":0,"predictions_cover":15,"exported":15,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/d453d061d3eb","api":"https://metacan.xera.ac/api/v1/cohort?venue=Developments+in+the+Built+Environment"},"results":[{"id":"W3111364411","doi":"10.1016/j.dibe.2020.100038","title":"Enhanced façade design: A data-driven approach for decision analysis based on past experiences","year":2020,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Fuzzy logic; Machine learning; Process (computing); Selection (genetic algorithm); Artificial intelligence; Principal component analysis; Artificial neural network; Data mining","score_opus":0.052226851097832504,"score_gpt":0.26794201296932085,"score_spread":0.21571516187148834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111364411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02961054,0.0000431268,0.96899587,0.00010327508,0.000049286402,0.0008088575,0.000012045024,0.000057422076,0.0003195967],"genre_scores_gemma":[0.76581013,0.000023016573,0.2329026,0.0003787158,0.00003113617,0.00072026934,0.00010164661,0.000021102014,0.000011349359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825084,0.00008096478,0.00033102077,0.00050326815,0.00047975848,0.00035414656],"domain_scores_gemma":[0.99896157,0.0003447203,0.00004707483,0.0005606289,0.000005057377,0.00008094911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047237516,0.00024502736,0.00026387387,0.00014777474,0.00010152446,0.00006480492,0.0009701488,0.00006207148,0.000054349824],"category_scores_gemma":[0.00006278228,0.00018675716,0.000061286504,0.0004475625,0.00003301411,0.00009521784,0.000115277886,0.00012304365,0.00001387212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005958665,0.0001012317,0.0002767259,0.000021670736,0.00012195534,0.000004601326,0.004374149,0.98479444,0.00033402877,0.000012364676,0.0009169914,0.008982234],"study_design_scores_gemma":[0.00060206914,0.000081345606,0.0021613291,0.000016565147,0.00008138609,2.5845083e-7,0.005237244,0.9844736,0.0023557798,0.00001692363,0.0046579977,0.00031551838],"about_ca_topic_score_codex":0.0000015566446,"about_ca_topic_score_gemma":2.934512e-7,"teacher_disagreement_score":0.7361996,"about_ca_system_score_codex":0.0001602528,"about_ca_system_score_gemma":0.000031123884,"threshold_uncertainty_score":0.76157355},"labels":[],"label_agreement":null},{"id":"W4223627082","doi":"10.1016/j.dibe.2022.100075","title":"Development of quality improvement procedures and tools for facility management BIM","year":2022,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"BIM and Construction Integration","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Building information modeling; Maintainability; Facility management; Quality (philosophy); Checklist; Systems engineering; Process (computing); Interoperability; Process management; Quality assurance; Computer science; Documentation; Quality function deployment; Engineering; Engineering management; Construction engineering; Risk analysis (engineering); Software engineering; Operations management","score_opus":0.023807002306515425,"score_gpt":0.23523993505536686,"score_spread":0.21143293274885144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223627082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98817575,0.00012360676,0.00954483,0.000065729044,0.00016374643,0.0010722759,0.00004659556,0.000028990842,0.0007784714],"genre_scores_gemma":[0.97469336,0.00006176125,0.023241822,0.00008515352,0.000004813015,0.0017800465,0.000054164862,0.000007956531,0.00007090065],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988243,0.00003107231,0.00045963933,0.00019331122,0.00031972025,0.00017193967],"domain_scores_gemma":[0.9997055,0.00004154719,0.00005805524,0.00016857708,0.0000046289524,0.000021704436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062633125,0.00013297751,0.00012938675,0.00006981853,0.00016175216,0.000023542148,0.00018785642,0.00002360835,0.00006563621],"category_scores_gemma":[0.000009165716,0.00011369229,0.000024280906,0.000074365256,0.000033878765,0.000080790844,0.00012802346,0.00008817504,0.0000029845623],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005540433,0.00017905007,0.002284384,0.00042082794,0.0001468004,8.1700836e-7,0.0067037344,0.0031728777,0.004739876,0.005425069,0.00018722925,0.9766839],"study_design_scores_gemma":[0.0032169998,0.00014697494,0.4219584,0.000052838303,0.000049517985,0.000013373189,0.045379817,0.0006128594,0.035684977,0.0040114936,0.48781416,0.0010585868],"about_ca_topic_score_codex":0.0000030015892,"about_ca_topic_score_gemma":0.000010408137,"teacher_disagreement_score":0.97562534,"about_ca_system_score_codex":0.0002660465,"about_ca_system_score_gemma":0.00002343661,"threshold_uncertainty_score":0.4636237},"labels":[],"label_agreement":null},{"id":"W4224252821","doi":"10.1016/j.dibe.2022.100074","title":"Error aversion or management? Exploring the impact of culture at the sharp-end of production in a mega-project","year":2022,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"","keywords":"Rework; Workforce; Alliance; Production (economics); Rank (graph theory); Exploratory research; Business; Computer science; Operations management; Operations research; Marketing; Economics; Sociology; Microeconomics; Political science; Engineering; Mathematics; Economic growth; Social science","score_opus":0.1526784635251231,"score_gpt":0.35973179305169317,"score_spread":0.20705332952657007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224252821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946709,0.000063564665,0.000014122429,0.00047605086,0.0003322433,0.0010499504,0.000012725131,0.000005196646,0.0033752006],"genre_scores_gemma":[0.9906417,0.00035062348,0.0002590237,0.00005581067,0.000015353402,0.00037009135,0.000010690332,0.0000074990503,0.00828922],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968018,0.00043637253,0.0006409097,0.00037532646,0.0015150282,0.00023055277],"domain_scores_gemma":[0.9987502,0.00018135045,0.00033815397,0.0007064033,0.000011277074,0.000012583709],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004246512,0.00016047493,0.00018590172,0.00033975457,0.00039330797,0.0000330098,0.0012785393,0.000019918376,0.0017867278],"category_scores_gemma":[0.00009789899,0.00006820498,0.000085487256,0.0012489503,0.00016355055,0.00024706684,0.0012899822,0.00023571306,0.000032173055],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019713526,0.00082031614,0.36246118,0.00007672913,0.00035768625,0.00003405176,0.122866265,0.062480513,0.001327392,0.00053166936,0.04011753,0.40695533],"study_design_scores_gemma":[0.0010846497,0.0001845214,0.7311993,0.000041496172,0.000029913776,0.000031252737,0.06305154,0.0004984396,0.0013052927,0.00072125567,0.20158158,0.0002707035],"about_ca_topic_score_codex":0.000156617,"about_ca_topic_score_gemma":0.00008407747,"teacher_disagreement_score":0.4066846,"about_ca_system_score_codex":0.0003955063,"about_ca_system_score_gemma":0.000041734234,"threshold_uncertainty_score":0.9991258},"labels":[],"label_agreement":null},{"id":"W4308989633","doi":"10.1016/j.dibe.2022.100098","title":"Improvement of treated spent pot lining reactivity in cementitious material by calcination","year":2022,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calcination; Pozzolan; Cementitious; Reactivity (psychology); Cement; Fly ash; Materials science; Inert; Leaching (pedology); Compressive strength; Pozzolanic reaction; Phosphogypsum; Portland cement; Pozzolanic activity; Metallurgy; Mineralogy; Chemical engineering; Chemistry; Composite material; Geology; Organic chemistry; Raw material; Soil water","score_opus":0.013171965328485885,"score_gpt":0.2263280350608762,"score_spread":0.21315606973239032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308989633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807924,0.000035564008,0.000055918248,0.00004327376,0.0001611183,0.00050993817,0.00006662591,0.000015481102,0.0010328485],"genre_scores_gemma":[0.9989881,0.00014464,0.00007270191,0.00003244372,0.000010961729,0.00040330287,0.00020558831,0.00001756057,0.00012468583],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985197,0.00010068593,0.00039550633,0.00018661623,0.0005171797,0.00028030894],"domain_scores_gemma":[0.9996994,0.000028192562,0.00005320472,0.00019451907,0.0000028275072,0.000021816952],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073104986,0.00013636838,0.00016279689,0.00012968387,0.00006256166,0.000020771144,0.0002588583,0.000027844142,0.0010957677],"category_scores_gemma":[0.0000057801703,0.00012829053,0.000020520074,0.00012940388,0.000019131547,0.000064311156,0.00022234194,0.00013221015,0.0000121489265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007599175,0.00022986763,0.00449153,0.00004420999,0.000036943555,0.000015955904,0.0014479259,0.003794461,0.9774362,0.000017671518,0.0005352786,0.011873985],"study_design_scores_gemma":[0.0023999722,0.00029494127,0.066360146,0.0000324206,0.000015008528,0.0000040867744,0.0014986644,0.0010934455,0.9038667,0.000096462594,0.023900928,0.00043718715],"about_ca_topic_score_codex":0.00028057638,"about_ca_topic_score_gemma":0.000016995924,"teacher_disagreement_score":0.07356944,"about_ca_system_score_codex":0.0006643033,"about_ca_system_score_gemma":0.000013952739,"threshold_uncertainty_score":0.9998174},"labels":[],"label_agreement":null},{"id":"W4390108620","doi":"10.1016/j.dibe.2023.100311","title":"Machine learning based graphical interface for accurate estimation of FRP-concrete bond strength under diverse exposure conditions","year":2023,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fibre-reinforced plastic; Computer science; Process (computing); Bond strength; Graphical user interface; Feature engineering; Shear strength (soil); Feature (linguistics); Interface (matter); Machine learning; Structural engineering; Artificial intelligence; Engineering; Materials science; Composite material; Deep learning; Environmental science; Layer (electronics)","score_opus":0.019894516755680103,"score_gpt":0.2567238412056732,"score_spread":0.2368293244499931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390108620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98432773,0.00003990277,0.014686995,0.000071275186,0.00013651281,0.0004620803,0.00008526454,0.00011176166,0.000078457095],"genre_scores_gemma":[0.99290943,0.00004747169,0.006434467,0.000029967392,0.0000068869804,0.00013663276,0.00034674787,0.0000261946,0.000062182364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895555,0.000033982935,0.00032507625,0.00017187689,0.00025942916,0.00025409428],"domain_scores_gemma":[0.9994638,0.00022694662,0.00006721792,0.00019597952,0.000006509087,0.000039542618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020764825,0.00018746087,0.0001700397,0.0001549144,0.00008819891,0.000018709823,0.00025157566,0.000081139835,0.00007970854],"category_scores_gemma":[0.000043829292,0.00016002743,0.000058194626,0.00018936938,0.00006560633,0.00010136941,0.00006261299,0.00020500329,0.000033699387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021392445,0.0000011914681,0.0020138063,0.0000438665,0.00005341969,0.0000040792384,0.0008464051,0.98636067,0.0073650293,0.0002066651,0.00012428533,0.0029591795],"study_design_scores_gemma":[0.0036044575,0.00020022831,0.17828695,0.00016187747,0.00012246068,0.000008481533,0.002090958,0.72024864,0.09042575,0.0006563998,0.0033345108,0.00085928635],"about_ca_topic_score_codex":0.000010051568,"about_ca_topic_score_gemma":0.0000010910536,"teacher_disagreement_score":0.26611203,"about_ca_system_score_codex":0.00011013219,"about_ca_system_score_gemma":0.000013043678,"threshold_uncertainty_score":0.65257293},"labels":[],"label_agreement":null},{"id":"W4391264907","doi":"10.1016/j.dibe.2024.100343","title":"Strain-hardening effect on the flexural behavior of ultra-high-performance fiber-reinforced concrete beams with steel rebars","year":2024,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning","keywords":"Materials science; Flexural strength; Volume fraction; Composite material; Fiber-reinforced concrete; Ultimate tensile strength; Ductility (Earth science); Strain hardening exponent; Cracking; Softening; Fiber; Hardening (computing); Structural engineering; Creep; Layer (electronics)","score_opus":0.010885465386327668,"score_gpt":0.21214882931691253,"score_spread":0.20126336393058486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391264907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941483,0.000041972686,0.00015867462,0.00003809453,0.00024755506,0.0010966208,0.000037987986,0.00007851035,0.0041522696],"genre_scores_gemma":[0.9979743,0.00005941311,0.0005581054,0.00009325048,0.00003332464,0.00045036728,0.000065172884,0.00005405781,0.0007120528],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981721,0.00008180982,0.0005123513,0.00024199589,0.0005894199,0.00040233068],"domain_scores_gemma":[0.9992224,0.00027055244,0.00007256658,0.000397126,0.000008873675,0.000028477507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007438663,0.00035223368,0.00028825842,0.00011794879,0.000085720254,0.00007149967,0.00046016023,0.000077127705,0.00040235184],"category_scores_gemma":[0.000018476703,0.00020143327,0.00003810219,0.00021406822,0.00013539982,0.00014172205,0.000055536093,0.0002919597,0.00019424697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028752993,0.000008186308,0.0012105808,0.00089012546,0.0007249062,0.00010540827,0.007882055,0.1854879,0.77582026,0.003501947,0.0005665935,0.023514494],"study_design_scores_gemma":[0.0009693364,0.0006003108,0.014737007,0.0007396765,0.00007474038,0.000022775857,0.00031570508,0.0017051676,0.9717949,0.0000041185554,0.008446967,0.0005893021],"about_ca_topic_score_codex":0.0000068483055,"about_ca_topic_score_gemma":1.6314566e-7,"teacher_disagreement_score":0.19597462,"about_ca_system_score_codex":0.0002501818,"about_ca_system_score_gemma":0.000025882846,"threshold_uncertainty_score":0.821421},"labels":[],"label_agreement":null},{"id":"W4393941644","doi":"10.1016/j.dibe.2024.100402","title":"Building absorptive capacity in a mega-project program alliance: Learning to mitigate rework","year":2024,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Ottawa","funders":"Australian Research Council","keywords":"Mega-; Absorptive capacity; Rework; Alliance; Business; Capacity building; Process management; Operations management; Engineering management; Knowledge management; Engineering; Computer science; Industrial organization; Political science; Economic growth; Economics","score_opus":0.04759571720699306,"score_gpt":0.27946144067612994,"score_spread":0.23186572346913686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393941644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8569678,0.00022101928,0.0007736149,0.002537109,0.00092461536,0.0032526033,0.0000017742736,0.00031508598,0.13500638],"genre_scores_gemma":[0.98645616,0.00003647356,0.008994348,0.0019741154,0.00024910428,0.0009310658,0.000019832916,0.00004124134,0.0012976467],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979656,0.000046917718,0.00047026324,0.000540196,0.000468626,0.0005084003],"domain_scores_gemma":[0.99960715,0.000050078637,0.00008094659,0.00023420856,0.000016277812,0.000011356266],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015096306,0.00027409205,0.0001993073,0.00051360205,0.0001528472,0.00041644598,0.00047236143,0.00006935962,0.00009050853],"category_scores_gemma":[0.00009459467,0.00022385835,0.000047933074,0.0014583231,0.00004990068,0.00033522854,0.00041460592,0.00043188682,0.00097186415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015851064,0.0012560608,0.056924168,0.001172612,0.00027458454,0.00044696665,0.018945444,0.0041955607,0.0012342659,0.3436447,0.0109025845,0.56084454],"study_design_scores_gemma":[0.00041212302,0.000019289007,0.040595315,0.0004931789,0.000016572396,0.0000017276393,0.0022721328,0.0024772398,0.00009580544,0.0032314104,0.9499216,0.0004635723],"about_ca_topic_score_codex":0.00010729645,"about_ca_topic_score_gemma":0.000088941946,"teacher_disagreement_score":0.939019,"about_ca_system_score_codex":0.0003814359,"about_ca_system_score_gemma":0.000023098355,"threshold_uncertainty_score":0.999806},"labels":[],"label_agreement":null},{"id":"W4402679774","doi":"10.1016/j.dibe.2024.100547","title":"Explainable ensemble learning graphical user interface for predicting rebar bond strength and failure mode in recycled coarse aggregate concrete","year":2024,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; University of Guelph; University of Calgary","funders":"","keywords":"Rebar; Aggregate (composite); Failure mode and effects analysis; Mode (computer interface); Bond strength; Interface (matter); Computer science; Graphical user interface; Materials science; Composite material; Structural engineering; Engineering; Adhesive; Human–computer interaction; Layer (electronics)","score_opus":0.008109864821849479,"score_gpt":0.22320410044155575,"score_spread":0.21509423561970628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402679774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99317884,0.0018243092,0.0034170481,0.00019581823,0.00018102035,0.00057372474,0.000010515339,0.00013746075,0.00048125294],"genre_scores_gemma":[0.9902332,0.0017713027,0.007200132,0.0000312051,0.000033546887,0.00034328704,0.000025829406,0.00006950994,0.00029200548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820226,0.000072840914,0.00047339083,0.00044159626,0.00026028842,0.00054959673],"domain_scores_gemma":[0.9993619,0.0002761051,0.00004560796,0.00024014417,0.0000051662987,0.00007109205],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005479797,0.00031555406,0.00027626858,0.00020574688,0.00010652727,0.00011549346,0.00028344718,0.00015022822,0.000015857848],"category_scores_gemma":[0.000055969875,0.00027225525,0.00004237809,0.00021852573,0.00007147288,0.0003050671,0.00014155344,0.00055903796,0.000015740443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076050335,0.000112551046,0.109293364,0.0040393244,0.0010455506,0.0008900945,0.09810819,0.37090784,0.11411194,0.003287869,0.00602152,0.29142123],"study_design_scores_gemma":[0.0024594541,0.00014722809,0.004379432,0.0016063921,0.000052469593,0.00009831994,0.0039705434,0.7988794,0.038040604,0.0007828777,0.14843571,0.0011475703],"about_ca_topic_score_codex":0.00003267062,"about_ca_topic_score_gemma":0.00004399141,"teacher_disagreement_score":0.42797154,"about_ca_system_score_codex":0.00027646183,"about_ca_system_score_gemma":0.0000213836,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W4404733224","doi":"10.1016/j.dibe.2024.100583","title":"Predicting long-term tensile degradation of GFRP rebars embedded in concrete with a reconsidered environmental reduction factor CE","year":2024,"lang":"lv","type":"article","venue":"Developments in the Built Environment","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Guangdong Science and Technology Department; Research Grants Council, University Grants Committee; Shenzhen University; National Natural Science Foundation of China; Natural Science Foundation of Shenzhen City","keywords":"Fibre-reinforced plastic; Ultimate tensile strength; Degradation (telecommunications); Term (time); Reduction (mathematics); Materials science; Structural engineering; Forensic engineering; Composite material; Engineering; Mathematics","score_opus":0.020102483158922532,"score_gpt":0.22655446568075832,"score_spread":0.20645198252183578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404733224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624026,0.0012560156,0.00027587084,0.00010218752,0.0005423839,0.0011674677,0.00010044033,0.00006108546,0.00025431238],"genre_scores_gemma":[0.99671566,0.0010860134,0.0014838421,0.000029069139,0.000039189115,0.000121820696,0.00013307747,0.00006501941,0.00032633197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996843,0.00025005112,0.001039594,0.0007242764,0.00064596307,0.0004971408],"domain_scores_gemma":[0.9988921,0.00025883722,0.00015636755,0.0005928665,0.00000581743,0.000093967654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006143805,0.0004681238,0.00044937438,0.00027006966,0.00008101283,0.00007533774,0.00030634023,0.00021866137,0.0006033208],"category_scores_gemma":[0.00006065037,0.00039176067,0.00008775909,0.00027987355,0.00020669357,0.00029723352,0.00015183525,0.0005985992,0.000078366946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004548961,0.00017220501,0.6395997,0.0009998712,0.00030949226,0.00027786745,0.049843594,0.0048711486,0.23826362,0.000033738434,0.00012140097,0.06505246],"study_design_scores_gemma":[0.0019118703,0.00022363951,0.9354679,0.0016834855,0.000109427456,0.00020529686,0.006416862,0.006129346,0.04625255,0.000040865645,0.00065185217,0.0009068956],"about_ca_topic_score_codex":0.000069030386,"about_ca_topic_score_gemma":0.00004482823,"teacher_disagreement_score":0.29586822,"about_ca_system_score_codex":0.0011629682,"about_ca_system_score_gemma":0.00009985278,"threshold_uncertainty_score":0.99985343},"labels":[],"label_agreement":null},{"id":"W4408578568","doi":"10.1016/j.dibe.2025.100648","title":"Self-healing responses of cementitious tailings materials to changing drainage conditions","year":2025,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Tailings Management and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Tailings; Cementitious; Drainage; Environmental science; Geotechnical engineering; Geology; Materials science; Metallurgy; Cement","score_opus":0.010593311510486673,"score_gpt":0.22307255148038668,"score_spread":0.2124792399699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408578568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868283,0.00018295411,0.00203921,0.00030800776,0.00030957133,0.00066538656,0.000015777616,0.00010128438,0.009549468],"genre_scores_gemma":[0.99387443,0.00013990229,0.0041920827,0.00032544183,0.000014177629,0.00019284515,0.000020147312,0.000016021928,0.0012249344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989518,0.000053510303,0.00035558117,0.0001608676,0.00019008951,0.00028812926],"domain_scores_gemma":[0.9996456,0.000062537496,0.000036374924,0.00022956305,0.0000054767593,0.000020430185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005942221,0.00015049691,0.00016379503,0.00038963833,0.000106207044,0.000037767215,0.00029977888,0.00003861195,0.000092399074],"category_scores_gemma":[0.000027709073,0.0001311683,0.000023363293,0.00025170605,0.00002492143,0.00007092432,0.00015977568,0.00006592936,0.00006501384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003871517,0.00092432974,0.008403845,0.004065947,0.0016034978,0.00009894278,0.1209321,0.08256525,0.71605945,0.043550264,0.00764202,0.013767209],"study_design_scores_gemma":[0.0017531187,0.00010621952,0.024709951,0.00084962096,0.00015162135,0.0000041436415,0.01040878,0.0008231929,0.5641988,0.0038545062,0.39204496,0.0010950939],"about_ca_topic_score_codex":0.000010430766,"about_ca_topic_score_gemma":0.0000035745866,"teacher_disagreement_score":0.38440296,"about_ca_system_score_codex":0.00013932753,"about_ca_system_score_gemma":0.000011131182,"threshold_uncertainty_score":0.5348888},"labels":[],"label_agreement":null},{"id":"W4410487081","doi":"10.1016/j.dibe.2025.100682","title":"Performance of connection joints of beam-column structure using Ultra-high-performance concrete under full-scale tests","year":2025,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer","keywords":"Connection (principal bundle); Structural engineering; Column (typography); Beam (structure); Materials science; Engineering","score_opus":0.009387043034168959,"score_gpt":0.21154925099225694,"score_spread":0.20216220795808798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410487081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865854,0.00007044073,0.0002167236,0.000007193279,0.00034337447,0.00039061267,0.000017489956,0.00002856157,0.0002670833],"genre_scores_gemma":[0.99542975,0.00015935302,0.0042458973,0.000037979902,0.000011608103,0.000019769677,0.000019286637,0.00002123931,0.00005511804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857485,0.000025771487,0.0005463736,0.00020571951,0.00035311363,0.00029419747],"domain_scores_gemma":[0.999406,0.000060938117,0.00012272243,0.00036604545,0.000014670428,0.000029649666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015611695,0.00024662004,0.00030697815,0.00015971198,0.0000696807,0.00001070354,0.00036940014,0.00013011854,0.00007722277],"category_scores_gemma":[0.000009576419,0.0002142945,0.000037882546,0.00022403314,0.00013076828,0.00015472985,0.00006350888,0.00022874569,0.0000060557913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004013367,0.0000013425463,0.062160715,0.00020866691,0.00006733112,8.377623e-7,0.0005446963,0.1694776,0.76484436,0.00002361869,0.000012689053,0.0026180078],"study_design_scores_gemma":[0.0005092434,0.000040083487,0.40598616,0.00014918175,0.000031938343,0.000010989665,0.00011922815,0.003949633,0.58894783,0.000011991953,0.00006045414,0.00018326793],"about_ca_topic_score_codex":0.00002578725,"about_ca_topic_score_gemma":0.0000028397899,"teacher_disagreement_score":0.34382546,"about_ca_system_score_codex":0.00030880084,"about_ca_system_score_gemma":0.000034517117,"threshold_uncertainty_score":0.87386763},"labels":[],"label_agreement":null},{"id":"W4413984175","doi":"10.1016/j.dibe.2025.100747","title":"A multi-hazard framework for resilient service and functional recovery in sustainable multi-building facilities","year":2025,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario College of Art and Design; University of Victoria","funders":"Mitacs","keywords":"Hazard; Resilience (materials science); Service (business); Business; Environmental science; Computer science; Risk analysis (engineering); Chemistry; Materials science","score_opus":0.014420788762368386,"score_gpt":0.2438663948901324,"score_spread":0.22944560612776402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413984175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7102628,0.00043099278,0.2881295,0.0002659826,0.00012530266,0.00061454443,0.000012349364,0.00002628776,0.00013223865],"genre_scores_gemma":[0.90215844,0.00024423515,0.09572532,0.0003787929,0.000014504427,0.00044166294,0.00001694536,0.000013959235,0.001006131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987269,0.000057124147,0.00034526613,0.00029942743,0.00017884075,0.00039244915],"domain_scores_gemma":[0.99941283,0.0002766784,0.000025689413,0.00024515847,0.000012031749,0.000027636852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000588376,0.00019289646,0.0002063263,0.00023135236,0.00014239724,0.000047194437,0.00019428067,0.00012190542,0.000031764834],"category_scores_gemma":[0.00014574818,0.00016544406,0.000040849325,0.00029906075,0.000049109538,0.00013120793,0.00011052387,0.00024399658,0.0000050017898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008419953,0.00014795069,0.04839691,0.0006119544,0.00012446484,0.000007868118,0.0059967292,0.93334377,0.00087104714,0.0025016163,0.00018938616,0.0077240886],"study_design_scores_gemma":[0.0021718815,0.00003368581,0.8445541,0.0002804309,0.000039945116,0.0000043337245,0.026705604,0.07033864,0.0022516858,0.015429622,0.037480958,0.0007090922],"about_ca_topic_score_codex":0.00008119171,"about_ca_topic_score_gemma":0.00017427222,"teacher_disagreement_score":0.86300516,"about_ca_system_score_codex":0.00048249835,"about_ca_system_score_gemma":0.000037393595,"threshold_uncertainty_score":0.6746613},"labels":[],"label_agreement":null},{"id":"W4414900500","doi":"10.1016/j.dibe.2025.100776","title":"Probabilistic approach for identifying construction accident risk for facilities based on outdoor thermal comfort","year":2025,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Facilities and Workplace Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Thermal comfort; Work (physics); Facility management; Probabilistic logic; Risk assessment; Masonry; Risk management","score_opus":0.036150251434723724,"score_gpt":0.29019618364266847,"score_spread":0.25404593220794475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414900500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48041698,0.00023784275,0.45872924,0.0014041269,0.0025916484,0.013966035,0.00044376208,0.0001209656,0.042089384],"genre_scores_gemma":[0.93627733,0.000018853816,0.03138226,0.0010294,0.000050419992,0.0096601965,0.00026888156,0.000031489984,0.021281155],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802375,0.00017029565,0.00049962255,0.00054813706,0.00028894367,0.00046923454],"domain_scores_gemma":[0.9988176,0.00046354815,0.00013120408,0.00054723094,0.000010199414,0.000030209098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012044201,0.00027076143,0.0002514074,0.00016649072,0.0003241307,0.000070718466,0.00044910278,0.00010239667,0.00017332165],"category_scores_gemma":[0.00007876344,0.00021315477,0.00012116005,0.00009860161,0.00014107482,0.00004334525,0.00010033545,0.00016646428,0.000030798943],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051152837,0.0044785254,0.30647147,0.0018141468,0.0017028474,0.000010900366,0.03425922,0.2343969,0.000046538054,0.097001456,0.036223087,0.27847964],"study_design_scores_gemma":[0.01248785,0.0005843977,0.41715562,0.00023685854,0.00034341952,0.000003978691,0.07038592,0.013466996,0.00024273273,0.009772058,0.4739297,0.0013904637],"about_ca_topic_score_codex":0.00008017228,"about_ca_topic_score_gemma":0.000014117301,"teacher_disagreement_score":0.45586035,"about_ca_system_score_codex":0.0003791373,"about_ca_system_score_gemma":0.000033449556,"threshold_uncertainty_score":0.8692199},"labels":[],"label_agreement":null},{"id":"W4416420438","doi":"10.1016/j.dibe.2025.100811","title":"SAMSort: Vision foundation model for sorting construction and demolition waste","year":2025,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Hong Kong Polytechnic University; Research Grants Council, University Grants Committee","keywords":"Demolition waste; Sorting; Demolition; Intersection (aeronautics); Adaptation (eye); Limiting; Construction waste; Sorting algorithm","score_opus":0.010431496634203776,"score_gpt":0.23267204517169776,"score_spread":0.22224054853749398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416420438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8026266,0.00008466207,0.19548467,0.00012308886,0.00015248597,0.0004346163,0.0000020931643,0.00003301973,0.0010587889],"genre_scores_gemma":[0.96968853,0.00046158757,0.029481996,0.00006505073,0.000015007042,0.00015186568,0.000029519675,0.000011270119,0.00009513941],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992864,0.0000149294065,0.0002596507,0.00015564718,0.00011284921,0.00017050112],"domain_scores_gemma":[0.99977225,0.000042486685,0.000037663205,0.0001274891,0.000004340007,0.000015800026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023530897,0.00011287707,0.0000931234,0.00008282421,0.00010944588,0.000033750242,0.0000961008,0.000052629417,0.0000043351038],"category_scores_gemma":[0.00001647475,0.00009892443,0.000015524914,0.000065454864,0.000036575377,0.00016147709,0.000039254373,0.00008065161,0.0000067226656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000330715,0.00001832922,0.0088208085,0.00020421151,0.000047043166,8.1280217e-7,0.001973908,0.33673695,0.008831579,0.002331267,0.00014667562,0.6408554],"study_design_scores_gemma":[0.00057631935,0.000009436933,0.011991702,0.00011257801,0.0000127933,0.0000048389957,0.00025853622,0.97542423,0.0049835,0.003971582,0.002489704,0.0001647642],"about_ca_topic_score_codex":0.000001704238,"about_ca_topic_score_gemma":0.0000025741635,"teacher_disagreement_score":0.64069057,"about_ca_system_score_codex":0.00019453354,"about_ca_system_score_gemma":0.000011388,"threshold_uncertainty_score":0.40340212},"labels":[],"label_agreement":null},{"id":"W4417073022","doi":"10.1016/j.dibe.2025.100821","title":"Synergistic application of modified zeolite and biochar in improving the performance of sandy vegetation concrete","year":2025,"lang":"en","type":"article","venue":"Developments in the Built Environment","topic":"Polymer-Based Agricultural Enhancements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WSP (Canada)","funders":"National Key Research and Development Program of China; China Three Gorges University; National Natural Science Foundation of China; Hubei Key Laboratory of Disaster Prevention and Mitigation; Hubei Provincial Department of Education","keywords":"Biochar; Vegetation (pathology); Zeolite; Adsorption; Soil fertility","score_opus":0.005070848575116883,"score_gpt":0.1876016166949221,"score_spread":0.1825307681198052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417073022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970497,0.00059064425,0.0017059062,0.000021244135,0.000036771737,0.0003284309,0.000002512268,0.0000062620898,0.0002585207],"genre_scores_gemma":[0.99930835,0.00021794732,0.00028741267,0.000028822044,0.0000032732387,0.000118372496,0.000010546397,0.0000041397175,0.000021131726],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9993337,0.000025421445,0.00028456276,0.000105852596,0.00013535166,0.00011513876],"domain_scores_gemma":[0.99973065,0.000057635723,0.000059410708,0.00014024175,0.0000033562335,0.000008688449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021308179,0.000092489194,0.0001059362,0.000057038866,0.000023679437,0.0000043836376,0.000161455,0.00003158705,0.0000014583244],"category_scores_gemma":[0.000009232936,0.000058219593,0.000009824508,0.00013443471,0.000048803304,0.000045535464,0.000044838,0.00007083348,0.000002253915],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024010473,0.000023991885,0.016962342,0.00038805042,0.00004430551,4.1942027e-7,0.0022090112,0.056750722,0.87762725,0.00048227035,0.000006608246,0.04548102],"study_design_scores_gemma":[0.0005767062,0.000017450502,0.5283013,0.00014263319,0.000014742776,3.5341301e-7,0.00016979575,0.042291835,0.4282169,0.000043251406,0.0001034982,0.00012155496],"about_ca_topic_score_codex":0.00004508822,"about_ca_topic_score_gemma":0.000005027116,"teacher_disagreement_score":0.51133895,"about_ca_system_score_codex":0.00008946854,"about_ca_system_score_gemma":0.000007722809,"threshold_uncertainty_score":0.2374126},"labels":[],"label_agreement":null}]}