{"meta":{"query_hash":"585b6bc0af3c","filters":{"venue":"Construction Research Congress 2022"},"cohort_total":24,"direct_labels_cover":1,"predictions_cover":24,"exported":24,"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/585b6bc0af3c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Construction+Research+Congress+2022"},"results":[{"id":"W4220678549","doi":"10.1061/9780784483978.068","title":"A Framework for Estimating the Reuse Value of In Situ Building Materials","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"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 Waterloo","funders":"","keywords":"Reuse; Demolition; Deconstruction (building); Raw material; Circular economy; Natural resource; Consumption (sociology); Environmental economics; Population; Production (economics); Work (physics); Building material; Sustainability; Business; Civil engineering; Engineering; Waste management; Mechanical engineering; Economics","score_opus":0.03695221047992209,"score_gpt":0.34200908174528605,"score_spread":0.30505687126536396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220678549","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":[0.95296264,0.0002631621,0.04047789,0.00046428334,0.0044589876,0.0007445381,0.00009683841,0.00009882843,0.00043282952],"genre_scores_gemma":[0.9496798,0.00001946869,0.049247783,0.000011383336,0.00015265476,0.000821743,0.000012760061,0.000023941348,0.000030481027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983162,0.00033037487,0.0003916035,0.00019434514,0.0004728626,0.00029458542],"domain_scores_gemma":[0.9985256,0.00079015153,0.00007694198,0.0003924082,0.00017852902,0.000036342757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016989874,0.0000996397,0.00017739626,0.00034957047,0.000442136,0.00007055609,0.00042033294,0.00006352821,0.00057574996],"category_scores_gemma":[0.0011326432,0.00009307332,0.00004987608,0.0007342832,0.00026130874,0.00012117643,0.00020084498,0.0006098,0.0000018481385],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001414537,0.000027865899,0.00122496,0.00019388081,0.00007578141,0.000005154302,0.00093924114,0.050402712,0.22420748,0.6376229,0.0023758395,0.082782745],"study_design_scores_gemma":[0.0015676237,0.0002219204,0.0011721445,0.00038600928,0.000032376694,0.0002614866,0.013235954,0.20216744,0.43272546,0.33591875,0.011772375,0.0005384522],"about_ca_topic_score_codex":0.00004298742,"about_ca_topic_score_gemma":0.00001061974,"teacher_disagreement_score":0.30170414,"about_ca_system_score_codex":0.00019269275,"about_ca_system_score_gemma":0.000089924666,"threshold_uncertainty_score":0.63040584},"labels":[],"label_agreement":null},{"id":"W4220683549","doi":"10.1061/9780784483961.068","title":"A Framework to Enhance Utilization of Automated Progress Measurements in Construction Projects","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"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 Alberta","funders":"","keywords":"Baseline (sea); Automation; Process (computing); Computer science; Work (physics); Systems engineering; Measure (data warehouse); Engineering; Data mining","score_opus":0.07787637593503761,"score_gpt":0.3790247827063963,"score_spread":0.3011484067713587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220683549","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":[0.98284966,0.00088149915,0.004616298,0.0002904464,0.0051498446,0.0020558182,0.00009921308,0.0009730652,0.0030841597],"genre_scores_gemma":[0.9926933,0.000055905988,0.0058805696,0.000013906224,0.000062530016,0.0011598569,0.000036617523,0.000036136673,0.00006119068],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99666333,0.0005313746,0.0006005058,0.00042103845,0.0013184027,0.00046534694],"domain_scores_gemma":[0.99866277,0.000104874045,0.0001098283,0.00037012913,0.00063260057,0.00011980663],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011797353,0.00018909466,0.00027343983,0.0013501279,0.0003437611,0.00006851308,0.00030349093,0.00012242883,0.0010085396],"category_scores_gemma":[0.00029225662,0.00022534534,0.00005605132,0.003338168,0.00041982834,0.0002539515,0.00015008044,0.0008507762,0.000015415242],"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":[0.0006088217,0.0002889232,0.1359822,0.00053784956,0.00022867194,0.000020975845,0.00270085,0.027319742,0.03946041,0.040653132,0.007408551,0.7447899],"study_design_scores_gemma":[0.0044417977,0.0019223309,0.031599823,0.0016424039,0.00009458036,0.0009920263,0.046421774,0.3185555,0.5179335,0.019096736,0.054358207,0.0029413144],"about_ca_topic_score_codex":0.000044114793,"about_ca_topic_score_gemma":0.00005414538,"teacher_disagreement_score":0.7418486,"about_ca_system_score_codex":0.00058377447,"about_ca_system_score_gemma":0.0002458272,"threshold_uncertainty_score":0.9999047},"labels":[],"label_agreement":null},{"id":"W4220686081","doi":"10.1061/9780784483961.070","title":"Digital Twin in the Architecture, Engineering, and Construction Industry: A Bibliometric Review","year":2022,"lang":"en","type":"review","venue":"Construction Research Congress 2022","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":19,"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 New Brunswick","funders":"","keywords":"Digitization; Context (archaeology); Interoperability; Computer science; Architecture; Building information modeling; Scopus; Construction industry; Data science; Citation analysis; Engineering management; Citation; Engineering; Knowledge management; World Wide Web; Construction engineering; Telecommunications","score_opus":0.0809509736026532,"score_gpt":0.3509509599944974,"score_spread":0.2699999863918442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220686081","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029038558,0.974704,0.00003940255,0.00007291187,0.0012715976,0.001939829,0.00046152566,0.0002170839,0.021264613],"genre_scores_gemma":[0.000021197711,0.9978004,0.00009745314,0.000020290096,0.00015909979,0.0013945346,0.0002647126,0.000094018025,0.00014825675],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956829,0.00047437867,0.0010624939,0.00052586885,0.0015289034,0.00072543335],"domain_scores_gemma":[0.9974871,0.0013946235,0.00014976585,0.0006584961,0.00011476381,0.00019524722],"candidate_categories":["metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0019937644,0.0005347335,0.0010990433,0.022138862,0.00021782168,0.0007426023,0.00087235036,0.0005764376,0.001185008],"category_scores_gemma":[0.0009227234,0.0004535229,0.00023469808,0.050692134,0.0005599065,0.000658798,0.0002454362,0.0071240626,0.00004008308],"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":[0.0000015616164,0.000013484721,0.000020621108,0.020464431,0.00008693304,0.000038257167,0.00002078175,0.00006957476,3.7021668e-8,0.00097077026,0.0048610074,0.97345257],"study_design_scores_gemma":[0.00018394225,0.000036833513,0.000006448538,0.008322905,0.00006744427,0.0020704037,0.00028008007,0.00007346124,3.1894967e-7,0.00009510055,0.98846066,0.00040239695],"about_ca_topic_score_codex":0.0000051772126,"about_ca_topic_score_gemma":0.0000014394031,"teacher_disagreement_score":0.98359966,"about_ca_system_score_codex":0.00041335818,"about_ca_system_score_gemma":0.00030612457,"threshold_uncertainty_score":0.9997916},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4220728838","doi":"10.1061/9780784483978.094","title":"Are Different Innovations More Challenging to Implement? A Comparison of Different Types of Changes in the AEC","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"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":"","keywords":"Procurement; Process (computing); Business; Minor (academic); Process management; Computer science; Operations management; Industrial organization; Marketing; Engineering","score_opus":0.2940580434122755,"score_gpt":0.4962669163622565,"score_spread":0.20220887294998102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220728838","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":[0.9906088,0.00014335407,0.0001289371,0.006496032,0.0008218429,0.0008168278,0.00009603127,0.000013777077,0.00087439024],"genre_scores_gemma":[0.9991001,0.00003609991,0.000041792013,0.00006199377,0.000043506487,0.0003721121,0.000012131613,0.000007612043,0.00032464915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99462247,0.0008762882,0.0008091942,0.00039532638,0.0029464904,0.00035024862],"domain_scores_gemma":[0.9971235,0.0009860146,0.00052180135,0.0006366195,0.0006816094,0.000050464885],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036683495,0.00013393704,0.00039006828,0.0022403637,0.0005869474,0.00009261422,0.0010963244,0.000029059123,0.0032472776],"category_scores_gemma":[0.0008146007,0.00009540923,0.00006889648,0.003870781,0.00031051785,0.000115860894,0.0009881947,0.00054290274,0.000005596987],"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":[0.00018563408,0.00027809906,0.7644007,0.00006502881,0.000061549246,0.000004777245,0.005943533,0.0006015463,0.0013589959,0.04641424,0.008374717,0.17231116],"study_design_scores_gemma":[0.0015856437,0.00069211377,0.51443803,0.00009951416,0.000025811363,0.000025121266,0.38495696,0.010022094,0.006193983,0.0068890788,0.07467455,0.00039710794],"about_ca_topic_score_codex":0.00006707219,"about_ca_topic_score_gemma":0.0008847823,"teacher_disagreement_score":0.37901342,"about_ca_system_score_codex":0.00010747837,"about_ca_system_score_gemma":0.00005988395,"threshold_uncertainty_score":0.9976639},"labels":[],"label_agreement":null},{"id":"W4220745968","doi":"10.1061/9780784483961.037","title":"Feasibility Assessment and Enhancement of TOF-Based UWB RTLS for Non-Line-of-Sight Conditions on Construction Sites","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":1,"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 Calgary","funders":"","keywords":"Non-line-of-sight propagation; Real-time locating system; Computer science; Multipath propagation; Residual; Line (geometry); Kalman filter; Multilateration; Ultra-wideband; Line-of-sight; Real-time computing; Engineering; Wireless; Telecommunications; Algorithm; Artificial intelligence; Mathematics; Node (physics)","score_opus":0.05858282337471942,"score_gpt":0.3769091979142025,"score_spread":0.3183263745394831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220745968","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":[0.96748227,0.00014833568,0.027394203,0.000224751,0.0009806385,0.0015038662,0.0008831635,0.00016057478,0.0012221842],"genre_scores_gemma":[0.9957447,0.000061837185,0.0033207764,0.000009696817,0.000024611687,0.0005894862,0.00017566253,0.000018569983,0.00005463708],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982493,0.00015016603,0.00044483226,0.00028986673,0.0005949519,0.00027088006],"domain_scores_gemma":[0.9985505,0.00045623092,0.00011824444,0.00033784067,0.00048101536,0.000056179695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078323815,0.00013969664,0.00028049326,0.0005530767,0.00042048623,0.00002647563,0.00018154396,0.000077428136,0.0008734369],"category_scores_gemma":[0.00017424526,0.00015216436,0.00007576399,0.00057209714,0.0007964959,0.00008810593,0.00010577119,0.00038488625,0.0000010289554],"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":[0.0011168863,0.0009580874,0.09301743,0.003162436,0.0006495531,0.000015847674,0.00053601334,0.1125609,0.48626307,0.21606734,0.012966631,0.072685815],"study_design_scores_gemma":[0.0031874103,0.0012950568,0.002472744,0.00009352423,0.000043589826,0.00001869718,0.004566099,0.14312015,0.834303,0.0071172784,0.0034098052,0.00037261285],"about_ca_topic_score_codex":0.000011795023,"about_ca_topic_score_gemma":0.000006907245,"teacher_disagreement_score":0.34803995,"about_ca_system_score_codex":0.0002965362,"about_ca_system_score_gemma":0.00019120067,"threshold_uncertainty_score":0.9563522},"labels":[],"label_agreement":null},{"id":"W4220755885","doi":"10.1061/9780784483961.132","title":"Optimization of Labor Flow Efficiency in Steel Fabrication Project Planning","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Resource-Constrained Project Scheduling","field":"Decision Sciences","cited_by":4,"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 Alberta","funders":"","keywords":"Solver; Productivity; Computer science; Workstation; Flow shop scheduling; Labor cost; Operations management; Operations research; Job shop scheduling; Engineering; Schedule; Economics; Operating system; Mechanical engineering","score_opus":0.1603653683075206,"score_gpt":0.4484722918426909,"score_spread":0.2881069235351703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220755885","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":[0.95558304,0.000760155,0.02642343,0.0011219955,0.0021205912,0.0023885467,0.00025808974,0.00011792311,0.0112262145],"genre_scores_gemma":[0.98249245,0.000029725219,0.015971683,0.00004043363,0.00009390504,0.00043385712,0.000045442237,0.000028283348,0.0008642173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9900886,0.0029554707,0.0011508358,0.0008381737,0.004396885,0.0005700819],"domain_scores_gemma":[0.9945759,0.002440623,0.0004896084,0.0007534481,0.0016451228,0.00009528433],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013557068,0.00016362914,0.0003700472,0.0033998168,0.00075117464,0.00023012812,0.001225705,0.0000845062,0.0024459183],"category_scores_gemma":[0.011130685,0.0001602355,0.00009453219,0.008468866,0.00070743175,0.000417319,0.0007257077,0.0010301775,0.0000149546895],"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":[0.0002914686,0.00014669336,0.064014725,0.000022894379,0.00001934448,0.000032419997,0.0029455419,0.8586437,0.0022091318,0.0021261878,0.0024284192,0.06711948],"study_design_scores_gemma":[0.0015640798,0.0003296596,0.004344708,0.00005305807,0.000007082955,0.00010277036,0.05078752,0.927461,0.0017595643,0.0015182954,0.011760307,0.00031192158],"about_ca_topic_score_codex":0.000106668995,"about_ca_topic_score_gemma":0.000009068749,"teacher_disagreement_score":0.06881733,"about_ca_system_score_codex":0.00032270415,"about_ca_system_score_gemma":0.0010695792,"threshold_uncertainty_score":0.99846596},"labels":[],"label_agreement":null},{"id":"W4220758301","doi":"10.1061/9780784483961.002","title":"Developing BIM-Based Linked Data Digital Twin Architecture to Address a Key Missing Factor: Occupants","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Digital Transformation in Industry","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":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Computer science; Key (lock); Linked data; Architecture; Missing data; Semantic Web; Factor (programming language); Building information modeling; Domain (mathematical analysis); Data modeling; Unstructured data; Data architecture; Data mining; Data science; Software engineering; World Wide Web; Reference architecture; Big data; Software architecture; Machine learning; Engineering","score_opus":0.1285582317474606,"score_gpt":0.3555692343805194,"score_spread":0.22701100263305882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220758301","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":[0.74025965,0.0008462291,0.16343336,0.007662931,0.010843364,0.004863063,0.01990147,0.0037136457,0.04847627],"genre_scores_gemma":[0.99397904,0.000009240413,0.0042403857,0.00014322373,0.00018370022,0.00026272182,0.00088222674,0.000096088406,0.00020340283],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964067,0.00020054566,0.00050544756,0.0005544728,0.001542746,0.0007901098],"domain_scores_gemma":[0.99800456,0.00040196857,0.00005223119,0.0009499281,0.00024944558,0.00034188997],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006390709,0.00026713213,0.0002655196,0.0009721113,0.0007340424,0.000810507,0.0013752184,0.00011297293,0.001315143],"category_scores_gemma":[0.00041728234,0.0003099993,0.00006012733,0.0016504272,0.0002647671,0.00088980887,0.00074135186,0.0016053886,0.000086400825],"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":[0.00034584093,0.00011723363,0.007034662,0.0006686537,0.00036474745,0.00020656109,0.0013040222,0.112331316,0.0029632472,0.0040451935,0.03723632,0.8333822],"study_design_scores_gemma":[0.0018061964,0.00014617665,0.0012667945,0.00031067527,0.000014342172,0.00025554065,0.004697839,0.036060452,0.004843439,0.0012717621,0.94812065,0.0012061452],"about_ca_topic_score_codex":0.000011482617,"about_ca_topic_score_gemma":0.000008961279,"teacher_disagreement_score":0.9108843,"about_ca_system_score_codex":0.0005805818,"about_ca_system_score_gemma":0.00058898865,"threshold_uncertainty_score":0.9999352},"labels":[],"label_agreement":null},{"id":"W4220768782","doi":"10.1061/9780784483954.021","title":"Online Engagement of Facility Users in Rehabilitation Decision Making","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Process (computing); Computer science; Exploratory research; Knowledge management; Process management; Business","score_opus":0.0728449735002245,"score_gpt":0.3550900759036424,"score_spread":0.2822451024034179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220768782","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":[0.9952884,0.00004409305,0.00029019802,0.0007966233,0.0008246807,0.0005437067,0.000026497737,0.000051284307,0.002134539],"genre_scores_gemma":[0.99669707,0.000006431891,0.002840608,0.00008561154,0.000046876845,0.00021024322,0.000056161174,0.0000075724724,0.000049408703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783564,0.00025281898,0.00045308372,0.00033085697,0.0008451767,0.0002823996],"domain_scores_gemma":[0.99864817,0.00041624386,0.00017901481,0.0002442504,0.0005070037,0.0000053503677],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0055081155,0.00009493771,0.00018119109,0.0012187687,0.0006538917,0.000036831043,0.00034931718,0.00006330603,0.0013898715],"category_scores_gemma":[0.001958051,0.000107743545,0.00004332899,0.0024778487,0.0006046612,0.00031971198,0.0011012179,0.0008904969,0.0000110769315],"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":[0.00035954546,0.00045521694,0.38050017,0.00018002938,0.000039148184,0.000016350203,0.00060287875,0.00039206003,0.00035443454,0.23334071,0.0034969042,0.38026255],"study_design_scores_gemma":[0.00293734,0.00018052774,0.46342504,0.00018554469,0.000017502976,0.000007936211,0.11788649,0.0045451014,0.00037065803,0.25031355,0.159486,0.0006443191],"about_ca_topic_score_codex":0.000090078516,"about_ca_topic_score_gemma":0.00007457593,"teacher_disagreement_score":0.37961826,"about_ca_system_score_codex":0.00035141804,"about_ca_system_score_gemma":0.000101992446,"threshold_uncertainty_score":0.999523},"labels":[],"label_agreement":null},{"id":"W4220770939","doi":"10.1061/9780784483961.027","title":"Synthetic Training Image Dataset for Vision-Based 3D Pose Estimation of Construction Workers","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Pose; Artificial intelligence; Computer science; Economic shortage; 3D pose estimation; Training (meteorology); Estimation; Computer vision; Image (mathematics); Artificial neural network; Scalability; Machine learning; Training set; Pattern recognition (psychology); Engineering","score_opus":0.1339045910671556,"score_gpt":0.5216168335968322,"score_spread":0.3877122425296766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220770939","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":[0.68299085,0.0014446998,0.071995474,0.031598333,0.03303246,0.042388115,0.11662485,0.0007645564,0.019160675],"genre_scores_gemma":[0.92797625,0.00006682403,0.048759982,0.0002965217,0.0005164797,0.008515298,0.012907834,0.00011246025,0.0008483449],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99200594,0.0033242397,0.0010472565,0.0006443388,0.0019111006,0.0010671356],"domain_scores_gemma":[0.9899243,0.007216594,0.00045004807,0.0006719219,0.0013811783,0.00035595082],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008141434,0.0001942678,0.00041952488,0.0010779069,0.0045850906,0.00003349807,0.0004744516,0.00015694275,0.0077942824],"category_scores_gemma":[0.0036905392,0.00020837323,0.00011022614,0.001351548,0.0012103962,0.00033944202,0.00035609133,0.0018210047,0.000061971274],"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":[0.013035673,0.00054582325,0.03255199,0.0044301427,0.00020127342,0.000036335197,0.0017436781,0.010638173,0.0028322665,0.018681139,0.16370977,0.75159377],"study_design_scores_gemma":[0.01712576,0.0038902021,0.018541893,0.0014064751,0.00012785372,0.00014181471,0.08107722,0.522582,0.0009868611,0.012401861,0.34039783,0.0013202404],"about_ca_topic_score_codex":0.00029099634,"about_ca_topic_score_gemma":0.000031598353,"teacher_disagreement_score":0.7502735,"about_ca_system_score_codex":0.0007642009,"about_ca_system_score_gemma":0.005325646,"threshold_uncertainty_score":0.9967108},"labels":[],"label_agreement":null},{"id":"W4220776861","doi":"10.1061/9780784483978.053","title":"Developing a Value Dashboard for Tracking Value Alignment during Design","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Value Engineering and Management","field":"Business, Management and Accounting","cited_by":2,"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 Alberta","funders":"","keywords":"Dashboard; Value (mathematics); Computer science; Tracking (education); Software engineering; Machine learning; Sociology","score_opus":0.0874838540532464,"score_gpt":0.31813037013701984,"score_spread":0.23064651608377346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220776861","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":[0.55798656,0.0011108577,0.3885586,0.013211015,0.018999698,0.009426639,0.00006452032,0.001988341,0.008653806],"genre_scores_gemma":[0.97617996,0.00004983726,0.015687209,0.0005516514,0.0016764719,0.0032887512,0.00007137848,0.00013850782,0.0023562543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969669,0.00014749417,0.0003731954,0.00057995913,0.0011675847,0.0007648867],"domain_scores_gemma":[0.99894243,0.00020065854,0.00014824158,0.00036203253,0.00031347855,0.000033167973],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0031710668,0.00021567469,0.00023799507,0.0009346704,0.0021087187,0.00048200254,0.00052964437,0.000043877986,0.000470062],"category_scores_gemma":[0.0003949273,0.00025143227,0.000117742624,0.0010415685,0.00012439293,0.0005674795,0.0009409586,0.00047352546,0.00003974033],"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":[0.00039529844,0.0001247195,0.0011859445,0.0010328443,0.00033673673,0.000102939186,0.00021629532,0.21117812,0.005679839,0.72880447,0.021373322,0.029569453],"study_design_scores_gemma":[0.0041124937,0.000110764486,0.0016225214,0.00019234461,0.000118188465,0.000074889154,0.006921393,0.16119096,0.0044626878,0.024324426,0.79568726,0.0011820832],"about_ca_topic_score_codex":0.00009359009,"about_ca_topic_score_gemma":0.0000027119918,"teacher_disagreement_score":0.7743139,"about_ca_system_score_codex":0.0005970275,"about_ca_system_score_gemma":0.00012501948,"threshold_uncertainty_score":0.9999938},"labels":[],"label_agreement":null},{"id":"W4220792822","doi":"10.1061/9780784483985.034","title":"Lean-Based Integrated Approach for Manual Work Design Optimization in Modular Construction","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Modular design; Task (project management); Work (physics); Production line; Computer science; Production (economics); Industrial engineering; Manufacturing engineering; Systems engineering; Engineering; Reliability engineering; Mechanical engineering","score_opus":0.1726246481583174,"score_gpt":0.47770375546495625,"score_spread":0.30507910730663884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220792822","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":[0.054773252,0.000542027,0.9130222,0.0029904374,0.004935692,0.017798463,0.0008100527,0.0003410207,0.0047868434],"genre_scores_gemma":[0.6035453,0.00020674436,0.34473413,0.0005591258,0.000808332,0.04137722,0.004363203,0.00020656265,0.004199378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9894217,0.005662457,0.0009796864,0.0008169375,0.0017475323,0.0013716579],"domain_scores_gemma":[0.9935454,0.0036757141,0.00026649708,0.000502001,0.0016773037,0.00033308775],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009912473,0.00023830708,0.00041631013,0.001648433,0.0041651665,0.000042437867,0.0005017686,0.00026178724,0.0044316626],"category_scores_gemma":[0.0020701375,0.00025665123,0.00010086445,0.0033837256,0.0006526631,0.00022710311,0.00028136274,0.003140781,0.000030295396],"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":[0.009528061,0.00037731018,0.08618882,0.0006028539,0.00005425786,0.00001805773,0.00042446685,0.81659216,0.00012028069,0.013142664,0.01229729,0.060653806],"study_design_scores_gemma":[0.0063684955,0.00072231627,0.0041444195,0.0001232938,0.000013411751,0.000018264462,0.014968693,0.95270956,0.00009289947,0.002028925,0.018364111,0.00044559094],"about_ca_topic_score_codex":0.00027252658,"about_ca_topic_score_gemma":0.000022057,"teacher_disagreement_score":0.5682881,"about_ca_system_score_codex":0.0019300292,"about_ca_system_score_gemma":0.0039728633,"threshold_uncertainty_score":0.99998856},"labels":[],"label_agreement":null},{"id":"W4220809794","doi":"10.1061/9780784483961.054","title":"A Goal-Oriented Framework for Implementing Change in Off-Site Construction in the Industry 4.0 Era","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"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 Alberta","funders":"","keywords":"Pace; Digitization; Automation; Context (archaeology); Computer science; Process management; Paradigm shift; Knowledge management; Engineering management; Engineering; Telecommunications","score_opus":0.06045794723408961,"score_gpt":0.35211539858757707,"score_spread":0.2916574513534875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220809794","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":[0.9853787,0.00030348412,0.00087944645,0.0011828616,0.0026986701,0.0023327908,0.0006047023,0.00018454935,0.006434812],"genre_scores_gemma":[0.9936857,0.00006165554,0.0014758189,0.00008635015,0.00023530214,0.0042292913,0.00013478042,0.00004152683,0.00004955277],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970845,0.00037272263,0.00056074956,0.00031008894,0.00088939146,0.0007825454],"domain_scores_gemma":[0.99880034,0.00055314315,0.00007183601,0.00034045163,0.00015617219,0.00007808767],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023333314,0.00017693818,0.00020419201,0.0008943375,0.0004999461,0.00017492706,0.00039126285,0.00022196633,0.0011086403],"category_scores_gemma":[0.0002168131,0.00018900717,0.00006705381,0.0023379165,0.00027791914,0.0006184402,0.00016306352,0.0034887563,0.000009333647],"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":[0.0002745155,0.00019289613,0.21151623,0.00045524733,0.00012236366,0.000088710876,0.011238864,0.0050167223,0.00041869385,0.28910375,0.006524759,0.47504723],"study_design_scores_gemma":[0.007858363,0.00050418003,0.03402614,0.0006091045,0.000036833077,0.000894165,0.24548785,0.06178306,0.0018996455,0.031221595,0.61403024,0.001648816],"about_ca_topic_score_codex":0.000075148135,"about_ca_topic_score_gemma":0.00009875174,"teacher_disagreement_score":0.6075055,"about_ca_system_score_codex":0.0004896431,"about_ca_system_score_gemma":0.0001130354,"threshold_uncertainty_score":0.9998045},"labels":[],"label_agreement":null},{"id":"W4220819759","doi":"10.1061/9780784483961.129","title":"Use of Digital Human Modeling for Estimating Physiological Workloads of Construction Tasks","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"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 Alberta","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.3963568857558382,"score_gpt":0.5421585792971927,"score_spread":0.14580169354135447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220819759","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":[0.9840954,0.000111193185,0.008411416,0.00046315478,0.0018309057,0.0028932756,0.0012836539,0.00006436099,0.00084667],"genre_scores_gemma":[0.9849703,0.000024851124,0.012615994,0.000020581017,0.0002654705,0.0013768706,0.00033899682,0.000027339536,0.0003596292],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947682,0.0014479074,0.0011338738,0.00045052008,0.0014030577,0.0007964538],"domain_scores_gemma":[0.99366164,0.0031752968,0.00043262605,0.0004016116,0.0021141183,0.00021472038],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029127374,0.00014719224,0.00044614315,0.0005857182,0.0032028542,0.000025169396,0.0003421121,0.00015015883,0.0016554701],"category_scores_gemma":[0.0030129077,0.00014751806,0.00014130374,0.00091575936,0.0008825621,0.0003520775,0.00065057614,0.0016574888,0.000007374849],"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":[0.008231698,0.0009351667,0.3410371,0.0050831866,0.00039015894,0.000016121588,0.001885821,0.073765606,0.024769519,0.20582706,0.01361889,0.32443967],"study_design_scores_gemma":[0.0053133913,0.0026738974,0.008180441,0.0006179859,0.000042124506,0.000047266956,0.024173973,0.9082489,0.0004995771,0.041512765,0.00804641,0.0006432773],"about_ca_topic_score_codex":0.00021310514,"about_ca_topic_score_gemma":0.000009257212,"teacher_disagreement_score":0.83448327,"about_ca_system_score_codex":0.0003374225,"about_ca_system_score_gemma":0.0011394635,"threshold_uncertainty_score":0.99925715},"labels":[],"label_agreement":null},{"id":"W4220876383","doi":"10.1061/9780784483978.031","title":"Machine Learning Framework to Predict Last Planner System Performance Metrics","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"BIM and Construction Integration","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":"University of Alberta","funders":"","keywords":"Planner; Computer science; Machine learning; Control (management); Artificial intelligence; Lean construction; Industrial engineering; Construction industry; Engineering; Construction engineering","score_opus":0.020761813411311954,"score_gpt":0.2685951538534851,"score_spread":0.24783334044217314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220876383","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":[0.902082,0.0032804448,0.026164623,0.00045398707,0.021635758,0.0017078137,0.0004512423,0.0028938288,0.04133027],"genre_scores_gemma":[0.9968132,0.00013320569,0.0011332233,0.000017887667,0.00026506718,0.0005164025,0.000056256282,0.000047211564,0.0010175824],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99725246,0.000363584,0.00034329717,0.0003453652,0.001197545,0.0004977653],"domain_scores_gemma":[0.99889296,0.00022932245,0.000049160066,0.0003127257,0.00030845506,0.00020735794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010908224,0.00017756964,0.00020819328,0.0011053579,0.0012144458,0.00014454953,0.00035139392,0.000098614626,0.0017601765],"category_scores_gemma":[0.00022697108,0.00019404465,0.000061203784,0.002434453,0.00015041082,0.00020046286,0.00024374478,0.0020523034,0.0001301058],"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":[0.00030535582,0.000053386284,0.121780954,0.0005497866,0.00029038597,0.000068180176,0.00088596734,0.2839335,0.0015751981,0.08755029,0.020832427,0.48217458],"study_design_scores_gemma":[0.0006143596,0.0004224427,0.0015142516,0.00012981343,0.000021973156,0.0006801431,0.008852822,0.46364412,0.001716765,0.00021719582,0.52166885,0.0005172439],"about_ca_topic_score_codex":0.000025147703,"about_ca_topic_score_gemma":0.000008378161,"teacher_disagreement_score":0.50083643,"about_ca_system_score_codex":0.0006369189,"about_ca_system_score_gemma":0.000092582646,"threshold_uncertainty_score":0.99915236},"labels":[],"label_agreement":null},{"id":"W4220900789","doi":"10.1061/9780784483978.039","title":"Integrated DEMATEL and ANP-Based Framework to Model Construction Labor Productivity","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"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 Alberta","funders":"","keywords":"Productivity; Process (computing); Computer science; Analytic network process; Subjectivity; Quality (philosophy); Decision support system; Risk analysis (engineering); Management science; Knowledge management; Industrial engineering; Operations research; Engineering; Artificial intelligence; Business; Economics","score_opus":0.028657043361318663,"score_gpt":0.297533011739239,"score_spread":0.2688759683779204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220900789","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":[0.91836274,0.0006808528,0.068890706,0.0020084798,0.004849868,0.0013599808,0.0005085365,0.0009591928,0.0023796363],"genre_scores_gemma":[0.9728913,0.00006392534,0.025302364,0.00010455422,0.0001661793,0.0009935759,0.000061091036,0.00006543307,0.0003516205],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99704057,0.0004401287,0.0004058905,0.0006208752,0.0009395144,0.00055299426],"domain_scores_gemma":[0.9983393,0.00019227537,0.000064071995,0.00048450634,0.00064699975,0.00027287233],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001057366,0.00026766444,0.00029469322,0.00092340994,0.0010541161,0.00020377686,0.00027219224,0.00014807195,0.0009529649],"category_scores_gemma":[0.00039714313,0.00029819953,0.000061994375,0.0019930934,0.00065180793,0.0003166496,0.00018389203,0.0015992139,0.000024870975],"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":[0.00055160106,0.00012722783,0.011569691,0.00027247894,0.00019932009,0.00002857911,0.00078108825,0.2005619,0.03142017,0.18400598,0.011102801,0.55937916],"study_design_scores_gemma":[0.0014288408,0.00038572482,0.001452919,0.00014258087,0.00005211007,0.0006634188,0.0088616945,0.851673,0.024857685,0.036312114,0.07298035,0.001189543],"about_ca_topic_score_codex":0.0000424025,"about_ca_topic_score_gemma":0.000036674344,"teacher_disagreement_score":0.6511111,"about_ca_system_score_codex":0.00047357744,"about_ca_system_score_gemma":0.00034639577,"threshold_uncertainty_score":0.9999603},"labels":[],"label_agreement":null},{"id":"W4220931357","doi":"10.1061/9780784483985.077","title":"Effect of Time Pressure and Cognitive Demand on Line Workers’ Risk-Taking Behaviors: Assessment of Neuro-Psychophysiological Responses in a Mixed-Reality Environment","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"Stantec (Canada)","funders":"","keywords":"Cognition; Risk perception; Risk analysis (engineering); Compensation (psychology); Risk compensation; Wearable computer; Cognitive load; Computer science; Applied psychology; Perception; Arousal; Cognitive psychology; Psychology; Business; Medicine; Social psychology","score_opus":0.09255628644348576,"score_gpt":0.5134046859178186,"score_spread":0.42084839947433283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220931357","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":[0.994418,0.00036352235,0.00003109332,0.000338109,0.00030958306,0.0028842648,0.001027869,0.00001628562,0.0006112769],"genre_scores_gemma":[0.9976548,0.00036052588,0.000065402295,0.000021551883,0.00005657528,0.0014631756,0.00008639913,0.000017613012,0.00027393224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9751679,0.021383086,0.0007664979,0.0005582826,0.0015197644,0.00060450984],"domain_scores_gemma":[0.9800053,0.018472763,0.00070744654,0.00033423564,0.00026931753,0.00021091808],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010792616,0.00017261486,0.0005160179,0.0005906011,0.0011451077,0.000007488507,0.00023237854,0.00014898331,0.0029978266],"category_scores_gemma":[0.0043577435,0.0001510758,0.00007284277,0.00061484106,0.0008208595,0.00007046531,0.0006269092,0.0027169331,0.0000101394635],"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":[0.013018016,0.00031534693,0.94587904,0.00049307797,0.000057659545,0.000020962954,0.00019335121,0.00056752964,0.0015757253,0.00018749184,0.00025608935,0.037435737],"study_design_scores_gemma":[0.0031465583,0.005051159,0.9862009,0.0002642518,0.00003969695,0.000004711113,0.0010952868,0.0031589435,0.00024426798,0.00016080015,0.00051663676,0.00011676714],"about_ca_topic_score_codex":0.0005126389,"about_ca_topic_score_gemma":0.000022596154,"teacher_disagreement_score":0.04032191,"about_ca_system_score_codex":0.00018693616,"about_ca_system_score_gemma":0.0005764421,"threshold_uncertainty_score":0.99958384},"labels":[],"label_agreement":null},{"id":"W4220933368","doi":"10.1061/9780784483978.012","title":"Current State of Practice in Selection and Implementation of Airport Capital Project Delivery Methods","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":4,"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 Alberta","funders":"","keywords":"Integrated project delivery; Procurement; Business; General partnership; Agency (philosophy); Aviation; Process management; Basis of estimate; Finance; Project planning; Engineering management; Project management; Risk analysis (engineering); Project charter; Engineering; Marketing; Systems engineering","score_opus":0.026185065936729188,"score_gpt":0.39943642223777703,"score_spread":0.37325135630104783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220933368","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":[0.98822093,0.0015395111,0.0077301897,0.00005987547,0.00071293075,0.001040202,0.00004285286,0.00006273847,0.0005907539],"genre_scores_gemma":[0.9897204,0.0019010529,0.008097668,0.0000014766786,0.000014707042,0.00018221182,0.00004330764,0.000014327564,0.000024856026],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984836,0.00046510782,0.00031395262,0.00015544394,0.00041790574,0.00016400698],"domain_scores_gemma":[0.99939406,0.00017096891,0.000098552475,0.00008277242,0.00023160157,0.000022067597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016752147,0.00006865974,0.000122792,0.0006712429,0.00009665544,0.000015411944,0.00007341339,0.000012939691,0.00023007477],"category_scores_gemma":[0.000077318815,0.00008331223,0.00001965646,0.0008431056,0.0000846855,0.00028453965,0.00011135294,0.00029976713,2.4808608e-7],"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":[0.000067083856,0.00004009984,0.0044679493,0.0001914783,0.00005501901,0.0000023278112,0.0014051236,0.056102425,0.00094025803,0.0009507111,0.00065996946,0.93511754],"study_design_scores_gemma":[0.0053036613,0.0012660701,0.056168675,0.00009479459,0.00013650162,0.000119593606,0.0700366,0.7814785,0.027351243,0.0016039772,0.055608127,0.0008322582],"about_ca_topic_score_codex":0.0001705344,"about_ca_topic_score_gemma":0.00011466937,"teacher_disagreement_score":0.9342853,"about_ca_system_score_codex":0.00012953707,"about_ca_system_score_gemma":0.00010732288,"threshold_uncertainty_score":0.33973745},"labels":[],"label_agreement":null},{"id":"W4220948403","doi":"10.1061/9780784483985.070","title":"Scale Equivalence in Canada and the United States for Interpersonal Conflicts at Work and Individual Resilience in the Construction Sector","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Scale (ratio); Interpersonal communication; Equivalence (formal languages); Resilience (materials science); Work (physics); Psychological resilience; Social psychology; Psychology; Geography; Engineering; Mathematics; Discrete mathematics; Cartography","score_opus":0.11553473870104558,"score_gpt":0.43305665456139825,"score_spread":0.31752191586035267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220948403","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":[0.9826341,0.00040354265,0.0000111620175,0.012780297,0.00069565984,0.0027822617,0.00046996042,0.000008810534,0.00021419223],"genre_scores_gemma":[0.9952215,0.00046241216,0.000078779725,0.00078095705,0.000071358445,0.0028376328,0.00015137796,0.000012420778,0.00038359463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9920089,0.0048748534,0.00052303006,0.0004116266,0.001369904,0.00081163325],"domain_scores_gemma":[0.9875647,0.0115186265,0.00013953028,0.0002473645,0.00036473546,0.00016504886],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008053863,0.00012616058,0.00023278542,0.00045289344,0.0025699318,0.000040135033,0.000418924,0.00006368404,0.0005957085],"category_scores_gemma":[0.0012288175,0.00008323285,0.000021703729,0.0015301629,0.0016823877,0.000106118176,0.00068923977,0.0019589567,0.0000017445894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004139661,0.00001796002,0.9640181,0.00020302826,0.000013623035,0.0000124621565,0.006301506,0.00010325884,0.0000073393485,0.004518393,0.0040897112,0.016574977],"study_design_scores_gemma":[0.008755115,0.00028183224,0.7344985,0.0002136213,0.000010457433,0.000109638626,0.17937492,0.008654537,0.000013516286,0.0030486814,0.06476299,0.0002761674],"about_ca_topic_score_codex":0.38692385,"about_ca_topic_score_gemma":0.61812615,"teacher_disagreement_score":0.23120227,"about_ca_system_score_codex":0.0011326101,"about_ca_system_score_gemma":0.0026397896,"threshold_uncertainty_score":0.9987286},"labels":[],"label_agreement":null},{"id":"W4220974137","doi":"10.1061/9780784483978.051","title":"Cost Analysis of a Mass Timber Building Project: Comparison of Budgeted and Actual Construction Cost","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Life Cycle Costing Analysis","field":"Business, Management and Accounting","cited_by":1,"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":"","keywords":"Cost estimate; Schedule; Cost database; Building construction; Cost analysis; Total cost; Construction industry; Cost engineering; Cost accounting; Construction management; Cost control; Relevant cost; Construction engineering; Engineering; Architectural engineering; Civil engineering; Operations management; Computer science; Business; Operations research","score_opus":0.0970793895241959,"score_gpt":0.38501022739242624,"score_spread":0.28793083786823037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220974137","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":[0.99419975,0.00019689897,0.0011243968,0.00029209154,0.00063572597,0.0008455694,0.00013700538,0.000083576786,0.0024849956],"genre_scores_gemma":[0.99780315,0.000023998598,0.0014675043,0.000035950074,0.00014525042,0.00019433092,0.00017959083,0.000027582195,0.00012264178],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962971,0.0003126865,0.00080906594,0.0005843021,0.0015354279,0.00046137502],"domain_scores_gemma":[0.9967586,0.000536238,0.0008194681,0.00046492243,0.0013826495,0.000038141723],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022571012,0.00020761657,0.00074548105,0.0040445626,0.0008331996,0.00020454868,0.0004092608,0.00008148081,0.0015766722],"category_scores_gemma":[0.0011320796,0.00022946805,0.00020401856,0.008010827,0.0011180829,0.00053485145,0.0007801769,0.0006928757,0.0000049592663],"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":[0.00045974852,0.00020794368,0.898862,0.0003071518,0.002521078,0.000013288139,0.0003521365,0.01002089,0.010407498,0.014579904,0.004227736,0.058040623],"study_design_scores_gemma":[0.0038649861,0.00016727137,0.034324035,0.00012965083,0.0043725274,0.000046243855,0.061012942,0.834046,0.004672695,0.0018015119,0.054469094,0.0010930585],"about_ca_topic_score_codex":0.0014906595,"about_ca_topic_score_gemma":0.00012780594,"teacher_disagreement_score":0.86453795,"about_ca_system_score_codex":0.00018352998,"about_ca_system_score_gemma":0.00016179531,"threshold_uncertainty_score":0.999336},"labels":[],"label_agreement":null},{"id":"W4220981506","doi":"10.1061/9780784483961.092","title":"Framework for Simulating Crew Motivation Impact on Productivity—A Hybrid Modeling Approach","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"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 Alberta","funders":"","keywords":"Crew; Productivity; Dynamism; Computer science; Fuzzy logic; Track (disk drive); Identification (biology); Industrial engineering; Industrial organization; Business; Engineering; Artificial intelligence; Economics","score_opus":0.0757413966445981,"score_gpt":0.34700515897443446,"score_spread":0.27126376232983634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220981506","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":[0.66220963,0.00026171326,0.33038712,0.00014561253,0.002658531,0.0013523116,0.00017977088,0.00047389403,0.0023314294],"genre_scores_gemma":[0.9916352,0.000016082866,0.006466036,0.000013214566,0.00046414617,0.0010708547,0.00013606143,0.00006368285,0.00013469679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973722,0.0003059892,0.00036986708,0.0005121023,0.00091137306,0.0005284565],"domain_scores_gemma":[0.99842626,0.00050877046,0.00007213978,0.00042145394,0.0004550459,0.000116359835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012526657,0.00022816402,0.00024163787,0.0006442881,0.0012325604,0.00016836972,0.00025329733,0.0000813268,0.00056062185],"category_scores_gemma":[0.00067918655,0.00023632904,0.0001499403,0.00085848017,0.00015398672,0.00032481202,0.000098717304,0.001364812,0.000007171298],"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":[0.00014877546,0.00004573276,0.00061482005,0.00006601167,0.000078381534,0.0000013660489,0.00012633255,0.8717488,0.0009967738,0.0394813,0.0008722067,0.085819505],"study_design_scores_gemma":[0.00040404464,0.00017388763,0.00007129978,0.000027172478,0.000010141011,0.000069091,0.001478947,0.97260475,0.0017146353,0.021644479,0.0015526332,0.00024893307],"about_ca_topic_score_codex":0.000021031292,"about_ca_topic_score_gemma":8.397848e-7,"teacher_disagreement_score":0.3294256,"about_ca_system_score_codex":0.000662126,"about_ca_system_score_gemma":0.00014241596,"threshold_uncertainty_score":0.9637219},"labels":[],"label_agreement":null},{"id":"W4220984093","doi":"10.1061/9780784483978.077","title":"A Framework to Measure the Cost of Controversy Surrounding Energy Construction Projects","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Measure (data warehouse); Computer science; Construction engineering; Systems engineering; Risk analysis (engineering); Engineering; Business; Data mining","score_opus":0.0755547425835816,"score_gpt":0.3811693674948096,"score_spread":0.30561462491122804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220984093","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":[0.66014665,0.0047310004,0.022527639,0.04527485,0.052206162,0.009994654,0.0005449987,0.0009861179,0.20358792],"genre_scores_gemma":[0.9942932,0.00024829502,0.0011669097,0.00020864935,0.0007464432,0.0011095182,0.000008929659,0.000031439457,0.002186585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917663,0.0033901527,0.0003903342,0.0004964391,0.0031377715,0.0008190067],"domain_scores_gemma":[0.99594635,0.0018583734,0.00026028982,0.0004572477,0.0012301728,0.00024758407],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004986055,0.00016221702,0.0003205403,0.00051123847,0.004681643,0.00022288095,0.0009714287,0.00013763207,0.002910779],"category_scores_gemma":[0.0048872293,0.00015867916,0.00013941394,0.0036419828,0.0025126468,0.00028877202,0.00048452968,0.0008599253,0.0000070687406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024863225,0.00004655904,0.005538845,0.000009669821,0.00009043345,0.000010467806,0.003956052,0.00055046973,0.0008684874,0.7762828,0.01009931,0.2022983],"study_design_scores_gemma":[0.0007287233,0.0001856816,0.00028214155,0.000060446437,0.000024506979,0.000028284267,0.3847557,0.00011591649,0.0014761735,0.02530295,0.5867215,0.0003180154],"about_ca_topic_score_codex":0.012596629,"about_ca_topic_score_gemma":0.0061724926,"teacher_disagreement_score":0.75097984,"about_ca_system_score_codex":0.001138996,"about_ca_system_score_gemma":0.0017854898,"threshold_uncertainty_score":0.9980007},"labels":[],"label_agreement":null},{"id":"W4220989846","doi":"10.1061/9780784483954.003","title":"Transitioning to the Next Era of Modular Construction: Reconfiguration, Reuse, and Building Stock Agility","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"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 Waterloo","funders":"","keywords":"Modular design; Agile software development; Reuse; Control reconfiguration; Architectural engineering; Process (computing); Stock (firearms); Engineering; Asset (computer security); Computer science; Systems engineering; Construction engineering; Process management; Business; Software engineering; Computer security; Mechanical engineering","score_opus":0.03765020142108328,"score_gpt":0.2915060947260926,"score_spread":0.25385589330500935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220989846","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":[0.9755003,0.0011940423,0.013485745,0.0034114812,0.0033183612,0.0009319808,0.00015684136,0.00021664138,0.0017846375],"genre_scores_gemma":[0.99510604,0.00017854768,0.00395526,0.000044944154,0.00016428952,0.0004077515,0.000025049449,0.00002674704,0.00009137758],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975352,0.00049961114,0.0004979454,0.00037523173,0.0007598823,0.0003320847],"domain_scores_gemma":[0.99846405,0.00019840352,0.00007975948,0.0005675537,0.0005576053,0.0001326446],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012976511,0.00016715,0.00022647683,0.0003539034,0.0013156041,0.00015854074,0.00036281976,0.000075300384,0.001561431],"category_scores_gemma":[0.0002218755,0.00016635148,0.00006972313,0.0012093809,0.0005907559,0.0003800619,0.0001637316,0.0011873365,0.0000056755516],"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":[0.00022633272,0.000040305033,0.0035693806,0.0001749955,0.0002468725,0.0000102565555,0.00241094,0.04628125,0.08529744,0.09945855,0.00965819,0.75262547],"study_design_scores_gemma":[0.0042620352,0.0011321006,0.014718487,0.00040944584,0.0001819071,0.004776241,0.07326561,0.24280271,0.11172184,0.04046392,0.5041119,0.002153824],"about_ca_topic_score_codex":0.000079443686,"about_ca_topic_score_gemma":0.000047069436,"teacher_disagreement_score":0.75047165,"about_ca_system_score_codex":0.00021745406,"about_ca_system_score_gemma":0.00014365384,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W4221015383","doi":"10.1061/9780784483978.076","title":"Identifying Multilevel Metrics for Construction Competency and Performance Measures","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"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 Alberta","funders":"","keywords":"Multilevel model; Knowledge management; Construction industry; Profitability index; Computer science; Performance measurement; Engineering; Business; Marketing","score_opus":0.3167108441618492,"score_gpt":0.4543778396191806,"score_spread":0.1376669954573314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221015383","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":[0.94395804,0.0012259617,0.032291293,0.0013096519,0.011095074,0.0025933764,0.00027667815,0.00021992416,0.0070299795],"genre_scores_gemma":[0.98195916,0.0004957316,0.012047521,0.00006682321,0.00021773015,0.0007697393,0.000029233568,0.00003058715,0.0043834527],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9925326,0.0009142819,0.00093860197,0.0010251828,0.003896137,0.00069319614],"domain_scores_gemma":[0.9950026,0.001866413,0.00040549802,0.00069187063,0.0018372043,0.0001963639],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011100828,0.00023967048,0.00039902882,0.0030473496,0.0042413613,0.00072885805,0.00096839457,0.000079114485,0.002630011],"category_scores_gemma":[0.0026523892,0.00023633912,0.00012224,0.0035300364,0.0015853591,0.001035236,0.001183061,0.0008827365,0.00004289158],"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":[0.00025647605,0.00002947227,0.042364284,0.00004823817,0.000049696755,0.0000037035325,0.00031870804,0.00009564756,0.0006771174,0.030003753,0.004860484,0.9212924],"study_design_scores_gemma":[0.0037185485,0.00088734285,0.017156355,0.000040801402,0.00006213949,0.0008420768,0.037063386,0.06855887,0.003797702,0.04788326,0.81906956,0.00091996265],"about_ca_topic_score_codex":0.000042813812,"about_ca_topic_score_gemma":0.000024373061,"teacher_disagreement_score":0.9203725,"about_ca_system_score_codex":0.00024248133,"about_ca_system_score_gemma":0.0003859037,"threshold_uncertainty_score":0.9982817},"labels":[],"label_agreement":null},{"id":"W4221083881","doi":"10.1061/9780784483961.001","title":"A Sensor-Based Empirical Framework to Measure Construction Labor Productivity","year":2022,"lang":"en","type":"article","venue":"Construction Research Congress 2022","topic":"Occupational Health and Safety Research","field":"Health Professions","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":"University of Alberta","funders":"","keywords":"Measure (data warehouse); Productivity; Computer science; Empirical measure; Data mining; Economics; Statistics; Mathematics; Macroeconomics","score_opus":0.19613831612628604,"score_gpt":0.5316682821723496,"score_spread":0.33552996604606355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221083881","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":[0.851558,0.0004450718,0.0036546409,0.105757415,0.013615306,0.010411793,0.0016212516,0.00059145235,0.012345035],"genre_scores_gemma":[0.9617213,0.000048295442,0.016358366,0.0034926166,0.0023570075,0.011275438,0.00024366392,0.00013685935,0.004366447],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9818188,0.010191373,0.00087760144,0.0011654525,0.0041244025,0.0018223592],"domain_scores_gemma":[0.9895716,0.0048661325,0.00023255158,0.0010666633,0.0032638034,0.0009992928],"candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009757366,0.00028304456,0.000493252,0.001332618,0.008416683,0.000056994326,0.00063775043,0.00029875836,0.012579003],"category_scores_gemma":[0.009929487,0.00029666285,0.00012835693,0.0045426385,0.00087178254,0.00021197496,0.0008690497,0.006585946,0.00077304937],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005459317,0.00037686343,0.7980525,0.0005312538,0.00008223854,0.000076970406,0.0012229373,0.0006195634,0.0007817552,0.025279444,0.05368738,0.11382977],"study_design_scores_gemma":[0.003006397,0.0012840594,0.14847234,0.000266231,0.000022526998,0.00010530276,0.021565111,0.0015458084,0.00028688004,0.008342294,0.8143478,0.00075526116],"about_ca_topic_score_codex":0.00035327126,"about_ca_topic_score_gemma":0.00007946267,"teacher_disagreement_score":0.7606604,"about_ca_system_score_codex":0.0018816061,"about_ca_system_score_gemma":0.0066428497,"threshold_uncertainty_score":0.99994856},"labels":[],"label_agreement":null}]}