{"meta":{"query_hash":"2db60f980693","filters":{"venue":"KSCE Journal of Civil Engineering"},"cohort_total":59,"direct_labels_cover":0,"predictions_cover":59,"exported":59,"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/2db60f980693","api":"https://metacan.xera.ac/api/v1/cohort?venue=KSCE+Journal+of+Civil+Engineering"},"results":[{"id":"W1972200475","doi":"10.1007/s12205-014-0559-2","title":"New open channel with elliptic sides and horizontal bottom","year":2014,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Section (typography); Freeboard; Channel (broadcasting); Geometry; Cross section (physics); Open-channel flow; Power (physics); Engineering; Flow (mathematics); Excavation; Structural engineering; Mechanics; Mathematics; Computer science; Geotechnical engineering; Electrical engineering; Physics","score_opus":0.00412338777727397,"score_gpt":0.17727525983963272,"score_spread":0.17315187206235874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972200475","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":[0.506537,0.002840854,0.483447,0.00017507531,0.0010209318,0.00016653785,0.0000020018097,0.00014912788,0.005661461],"genre_scores_gemma":[0.99186504,0.000079746955,0.007463414,0.00001645283,0.00047941008,9.287502e-7,3.6761477e-7,0.000042315824,0.000052353997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992764,0.0000078488665,0.00024131438,0.000083953775,0.00017019197,0.00022027534],"domain_scores_gemma":[0.99954385,0.000052528307,0.000048720394,0.00011202778,0.000029287385,0.00021361727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017465456,0.00017327988,0.00029698084,0.000114928305,0.000027546526,0.00011896385,0.00024765104,0.000058168953,0.000028061446],"category_scores_gemma":[0.000035219226,0.00013845351,0.00003914146,0.0000983421,0.00000995223,0.00031460242,0.000033942746,0.0003000127,0.000002131608],"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":[0.000043680207,0.000009510386,0.00033000283,0.00021150422,0.00025007117,0.000074992735,0.0008543117,0.96515495,0.014630518,0.0010313308,0.0036424648,0.013766643],"study_design_scores_gemma":[0.0062898975,0.0018366391,0.023089096,0.0018361452,0.00030883105,0.0041653053,0.00024694498,0.8570996,0.0226077,0.0017167099,0.07885165,0.0019514762],"about_ca_topic_score_codex":0.000013465509,"about_ca_topic_score_gemma":0.000078673,"teacher_disagreement_score":0.485328,"about_ca_system_score_codex":0.000030221108,"about_ca_system_score_gemma":0.000023574108,"threshold_uncertainty_score":0.564597},"labels":[],"label_agreement":null},{"id":"W1986234988","doi":"10.1007/bf02830823","title":"A study on applications of polyurethane injection material for ground improvement","year":2000,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sciencetech (Canada)","funders":"","keywords":"Polyurethane; Materials science; Composite material","score_opus":0.007501325780934335,"score_gpt":0.21665515394274623,"score_spread":0.20915382816181188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986234988","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":[0.9249778,0.000082316015,0.0733126,0.000009778676,0.00075279275,0.00036318222,0.000010609053,0.000061584185,0.0004293815],"genre_scores_gemma":[0.99902314,0.000021939188,0.00047576497,0.0000065320883,0.00036438517,0.00003330258,0.0000018226534,0.00003422569,0.000038910606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991265,0.000008375767,0.00044810565,0.000079750054,0.0001559507,0.00018130998],"domain_scores_gemma":[0.9996083,0.000044021217,0.00009564393,0.00013029447,0.00006472214,0.000057031466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029986302,0.00013353373,0.00024944625,0.00016641447,0.000027439228,0.000016149303,0.00012752792,0.00006750268,0.000044919158],"category_scores_gemma":[0.000018609964,0.00013312965,0.0000871396,0.0001234809,0.0000066658786,0.000082130464,0.0000071180684,0.00015296052,0.0000017445949],"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":[0.00027571604,0.0006141996,0.00015193291,0.0004759271,0.0005567062,0.0000137135185,0.00312783,0.82905793,0.13314123,0.0019200491,0.00030343162,0.030361323],"study_design_scores_gemma":[0.029179161,0.039780494,0.023568796,0.0017445089,0.0020542298,0.0016363534,0.011023163,0.46766186,0.3891941,0.007042896,0.022713225,0.0044012265],"about_ca_topic_score_codex":0.0000056545055,"about_ca_topic_score_gemma":0.000017592281,"teacher_disagreement_score":0.3613961,"about_ca_system_score_codex":0.000077029195,"about_ca_system_score_gemma":0.000012685426,"threshold_uncertainty_score":0.542887},"labels":[],"label_agreement":null},{"id":"W1987792025","doi":"10.1007/s12205-010-0527-4","title":"An integrated system for bridge management using probabilistic and mechanistic deterioration models: Application to bridge decks","year":2010,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bridge (graph theory); Probabilistic logic; Reliability (semiconductor); Reliability engineering; Engineering; Macro; Computer science; Artificial intelligence","score_opus":0.01633116960022207,"score_gpt":0.2344290582615909,"score_spread":0.21809788866136884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987792025","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38538608,0.000026754497,0.6138264,0.000005074065,0.00035727437,0.00029278942,0.0000068206878,0.00008272109,0.00001608464],"genre_scores_gemma":[0.976785,0.0000050760036,0.023023708,0.0000063979114,0.00010751252,0.000029444649,0.000003818112,0.000037751357,0.0000012685751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991029,0.000010481659,0.0004204189,0.00014608196,0.0001433399,0.00017677271],"domain_scores_gemma":[0.99932885,0.000039332102,0.0000747926,0.00019884972,0.00017310811,0.00018508878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043869994,0.00016052033,0.00022705496,0.0001790215,0.00004446393,0.00008630071,0.00013671922,0.00006809104,0.0000025328616],"category_scores_gemma":[0.000052829073,0.00016043561,0.000049927818,0.00015548874,0.000007381006,0.00025655658,0.000018010427,0.00017875858,8.1415453e-7],"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":[0.000029884119,0.0000106428415,0.000016845639,0.0006352675,0.000016552174,0.0000034443192,0.00015372477,0.57309467,0.41871938,0.0014910265,0.000020538306,0.0058079963],"study_design_scores_gemma":[0.00028490898,0.00005861503,0.00079045503,0.000155691,0.0000565496,0.00010806751,0.000039368784,0.9960182,0.0019579097,0.0001389976,0.00022133894,0.00016989841],"about_ca_topic_score_codex":0.0000068046443,"about_ca_topic_score_gemma":0.00009721516,"teacher_disagreement_score":0.59139895,"about_ca_system_score_codex":0.00015489972,"about_ca_system_score_gemma":0.000017204211,"threshold_uncertainty_score":0.6542374},"labels":[],"label_agreement":null},{"id":"W1991556154","doi":"10.1007/bf02831776","title":"Development of potential measures to evaluate the safety of curves in rural highways","year":2003,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Transportation Safety and Impact Analysis","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Trajectory; Path (computing); RADIUS; Field (mathematics); Transport engineering; Engineering; Computer science; Mathematics; Physics","score_opus":0.010907066894518576,"score_gpt":0.21709390009659482,"score_spread":0.20618683320207626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991556154","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":[0.71282035,0.0034339142,0.28267664,0.00011460997,0.00038187415,0.00012186621,0.0000059311724,0.00003260579,0.00041220893],"genre_scores_gemma":[0.99628425,0.00037638392,0.0032893633,0.000008606802,0.000020116575,0.0000013653919,8.568976e-7,0.000015654115,0.0000034243808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99853975,0.000024451714,0.0008247511,0.00004108438,0.00040898545,0.00016096643],"domain_scores_gemma":[0.9995549,0.000045658333,0.00009337755,0.000099951336,0.00013615195,0.00006997549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009130309,0.000119218515,0.0003221505,0.00024569215,0.000016933553,0.000005207227,0.00015518919,0.00003429033,0.000047801077],"category_scores_gemma":[0.000097730015,0.000092334085,0.00012764672,0.0004090398,0.000009364596,0.00013125241,0.0000044264807,0.00016415809,0.0000010821725],"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":[0.000021962285,0.000015182239,0.00037586316,0.000137932,0.0001591178,0.0000025264,0.001165646,0.9342959,0.06280159,0.00009030747,0.000068804664,0.00086519204],"study_design_scores_gemma":[0.0040288772,0.00020281572,0.54703337,0.0058392193,0.00069090666,0.00011578981,0.002019095,0.056294363,0.37153172,0.00009313908,0.011074572,0.0010761276],"about_ca_topic_score_codex":0.0000031230702,"about_ca_topic_score_gemma":0.000114828144,"teacher_disagreement_score":0.8780015,"about_ca_system_score_codex":0.0000551038,"about_ca_system_score_gemma":0.00006361809,"threshold_uncertainty_score":0.3765275},"labels":[],"label_agreement":null},{"id":"W2013260682","doi":"10.1007/s12205-013-0411-0","title":"A fuzzy AHP model for assessing the condition of metro stations","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Analytic hierarchy process; Fuzzy logic; Quality (philosophy); Transit (satellite); Computer science; Operations research; Transport engineering; Process (computing); Engineering; Reliability engineering; Public transport; Artificial intelligence","score_opus":0.12427317067512261,"score_gpt":0.4198605440069919,"score_spread":0.2955873733318693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013260682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21495578,0.00014037965,0.78369325,0.00038376896,0.00038790313,0.00014903188,0.0000109988,0.000008794498,0.00027006934],"genre_scores_gemma":[0.9380335,0.0000047897693,0.061673902,0.000050446084,0.00011693639,0.00000951486,6.2589856e-7,0.000017123484,0.000093130155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972508,0.00006505121,0.0012081383,0.0001368428,0.0011343902,0.00020479069],"domain_scores_gemma":[0.99408585,0.0032906777,0.000835267,0.00030450473,0.0013880114,0.00009570231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003189454,0.00012267586,0.0003472973,0.0005378806,0.000100086356,0.00041064437,0.0006155178,0.000051212173,0.00014371915],"category_scores_gemma":[0.0062649567,0.00007759123,0.00022661046,0.0004593769,0.0000324491,0.0012469277,0.00005593621,0.00019564887,0.00000938248],"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":[0.000008017822,0.00003354879,0.00027082427,0.000016801048,0.000038440703,0.0000017932,0.0007237832,0.9377336,0.0458811,0.0015457522,0.0057507227,0.007995598],"study_design_scores_gemma":[0.00041229962,0.000030419842,0.0050464654,0.0001031075,0.000025985843,0.000022693408,0.0006459061,0.96887875,0.0007384375,0.023459865,0.0005451623,0.00009092421],"about_ca_topic_score_codex":0.0000036046983,"about_ca_topic_score_gemma":0.00001436726,"teacher_disagreement_score":0.7230778,"about_ca_system_score_codex":0.000052750933,"about_ca_system_score_gemma":0.000094417424,"threshold_uncertainty_score":0.7500191},"labels":[],"label_agreement":null},{"id":"W2027843037","doi":"10.1007/s12205-013-1114-2","title":"Vibration performance of Profiled Steel Sheet Dry Board composite floor panel","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Material Properties and Processing","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Structural engineering; Serviceability (structure); Vibration; Engineering; Composite number; Composite material; Materials science; Acoustics","score_opus":0.008717023883154163,"score_gpt":0.1696631656871604,"score_spread":0.16094614180400624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027843037","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":[0.9900554,0.0007339625,0.007541428,0.000030179322,0.0006483687,0.00010193712,0.0000017502658,0.00006558621,0.00082141976],"genre_scores_gemma":[0.99597335,0.0001239083,0.0035554431,0.000011596656,0.0002517859,0.000004846738,0.000001195908,0.000038444916,0.000039432514],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989868,0.000009656129,0.0005300456,0.000063496365,0.00020664347,0.00020335395],"domain_scores_gemma":[0.9995331,0.000016294984,0.00012961667,0.00010359532,0.00013774425,0.000079630176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015861748,0.0001549481,0.00029209987,0.00012694614,0.000029454686,0.00007020649,0.00016186917,0.000065738255,0.00021174546],"category_scores_gemma":[0.000017635417,0.00013280616,0.00006470236,0.00011371236,0.000011970055,0.00066330464,0.000021983336,0.00019315879,0.000013439794],"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":[0.000017428618,0.000009106772,0.0002523633,0.0008511178,0.000039441602,0.0000016989245,0.0002076094,0.48464438,0.51169765,0.0000057175057,0.00017327245,0.002100204],"study_design_scores_gemma":[0.0004315332,0.00013600625,0.010722316,0.0006975763,0.00002805782,0.000027827418,0.000037284768,0.8288796,0.15834902,0.000010858561,0.0004562707,0.00022364032],"about_ca_topic_score_codex":0.000007681289,"about_ca_topic_score_gemma":0.0000017576401,"teacher_disagreement_score":0.35334864,"about_ca_system_score_codex":0.0000379173,"about_ca_system_score_gemma":0.000017947712,"threshold_uncertainty_score":0.5415678},"labels":[],"label_agreement":null},{"id":"W2031176174","doi":"10.1007/s12205-015-0722-4","title":"Assessment of concrete compressive strength prediction models","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Gradation; Compressive strength; Predictability; Cement; Aggregate (composite); Materials science; Geotechnical engineering; Slump; Mathematics; Composite material; Statistics; Engineering; Computer science; Artificial intelligence","score_opus":0.024618130456985795,"score_gpt":0.2576615868847033,"score_spread":0.2330434564277175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031176174","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":[0.88308805,0.001061157,0.10841173,0.000016245838,0.0010228272,0.00012052444,0.000031267136,0.00007993905,0.0061682817],"genre_scores_gemma":[0.99809885,0.00021179744,0.0014281292,0.0000022296927,0.00021290993,0.0000030648646,0.0000036179702,0.00002636023,0.000013031914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987469,0.000022098448,0.000488769,0.000063196574,0.00048126676,0.00019778124],"domain_scores_gemma":[0.99930364,0.000053667467,0.00010790934,0.00012827502,0.00024216139,0.00016435736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043411416,0.00012576979,0.00030441477,0.00018600294,0.000010904325,0.000029689885,0.00017568219,0.000055895714,0.000053630352],"category_scores_gemma":[0.000036877533,0.00011975422,0.00007405719,0.00011669372,0.000013552296,0.00033719247,0.00003504141,0.00022291421,0.0000010299622],"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":[0.000011450211,0.0000037806403,0.0001480927,0.00012250498,0.00011787028,0.000013147744,0.00015850046,0.8595661,0.1384796,0.0002785478,0.0009203085,0.00018007698],"study_design_scores_gemma":[0.0009764544,0.00020431411,0.00068579195,0.0002449841,0.00003742271,0.000037431437,0.000106346604,0.9676559,0.028754314,0.0000649979,0.0011070308,0.0001250199],"about_ca_topic_score_codex":0.000004095645,"about_ca_topic_score_gemma":0.000001751538,"teacher_disagreement_score":0.11501083,"about_ca_system_score_codex":0.00011158701,"about_ca_system_score_gemma":0.00007048622,"threshold_uncertainty_score":0.48834354},"labels":[],"label_agreement":null},{"id":"W2033793070","doi":"10.1007/s12205-013-0181-8","title":"Analytical and experimental approaches to obtain the ultimate strength of reinforced earth elements","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Lateral earth pressure; Geotechnical engineering; Friction angle; Reinforcement; Shear strength (soil); Structural engineering; Overburden pressure; Triaxial shear test; Earth (classical element); Shear (geology); Materials science; Reinforced concrete; Geology; Engineering; Soil water; Composite material; Mathematics","score_opus":0.01952031229658322,"score_gpt":0.20139382230618297,"score_spread":0.18187351000959975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033793070","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":[0.95141083,0.00041051966,0.047295924,0.00008136624,0.0001451762,0.00017754691,0.0000019709535,0.000075551645,0.00040109514],"genre_scores_gemma":[0.9978915,0.000024132733,0.0019696713,0.0000065027634,0.000052539486,0.0000081183825,8.303305e-7,0.000025936592,0.000020759024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990011,0.000009337957,0.00047592857,0.00007354164,0.0002285017,0.0002116215],"domain_scores_gemma":[0.999547,0.00007152733,0.000057613808,0.00013733689,0.00004563403,0.00014087625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024748774,0.00014913346,0.00023896225,0.00013379652,0.000021633903,0.000036606012,0.00015258107,0.000055600427,0.00003588273],"category_scores_gemma":[0.00010690235,0.00011369203,0.00006611872,0.00019835251,0.000018317509,0.00016303359,0.000034749333,0.00020762802,0.000002729967],"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":[0.0000034907243,0.00000938303,0.00005398674,0.000060389386,0.000045843648,9.899551e-7,0.00025539479,0.98610324,0.012180712,0.00057242246,0.000083387895,0.0006307905],"study_design_scores_gemma":[0.0002734965,0.00009656382,0.0017767382,0.00008493971,0.000017165337,0.000019515624,0.00015427252,0.9841015,0.012994784,0.000009669398,0.00034281358,0.00012859238],"about_ca_topic_score_codex":0.000004714467,"about_ca_topic_score_gemma":0.0000017728848,"teacher_disagreement_score":0.04648066,"about_ca_system_score_codex":0.000031628326,"about_ca_system_score_gemma":0.000007739409,"threshold_uncertainty_score":0.46362266},"labels":[],"label_agreement":null},{"id":"W2040755658","doi":"10.1007/s12205-010-0251-0","title":"Scheduling decisions and their dynamic consequences on construction performance","year":2010,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Scheduling (production processes); Computer science; Operations research; Operations management; Engineering","score_opus":0.027608159619883374,"score_gpt":0.2861498568559307,"score_spread":0.2585416972360473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040755658","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":[0.97788924,0.000112917485,0.017912738,0.00035237317,0.0021594395,0.00005691511,0.0000017534084,0.000021499947,0.0014931126],"genre_scores_gemma":[0.9928198,0.00025755717,0.006683057,0.000031092204,0.00013464564,0.0000011059426,1.9255083e-7,0.000008264645,0.000064299464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984994,0.000021932361,0.00061772997,0.00016691345,0.00051957404,0.00017445229],"domain_scores_gemma":[0.9983512,0.00071337377,0.0003542942,0.0002156409,0.00026054028,0.00010494632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017525523,0.00014282265,0.0002442014,0.0006875059,0.00015051145,0.00021255268,0.00034600848,0.00006281139,0.00018259889],"category_scores_gemma":[0.0013308269,0.00009751382,0.00008252156,0.00046887575,0.00014908118,0.0006766917,0.00005395777,0.0005303281,0.00001572653],"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":[0.00012758888,0.000038675546,0.026214154,0.000029172938,0.00008961341,0.000017253651,0.00078569655,0.06305521,0.075837485,0.0077795023,0.00025039597,0.82577527],"study_design_scores_gemma":[0.0021665096,0.00071569916,0.07533271,0.0008034006,0.000060154845,0.0048324685,0.0027207816,0.8321651,0.015598488,0.010751,0.05390392,0.00094976346],"about_ca_topic_score_codex":9.823706e-7,"about_ca_topic_score_gemma":0.00004458333,"teacher_disagreement_score":0.82482547,"about_ca_system_score_codex":0.000018192713,"about_ca_system_score_gemma":0.00006285127,"threshold_uncertainty_score":0.3976498},"labels":[],"label_agreement":null},{"id":"W2045643953","doi":"10.1007/s12205-012-1272-7","title":"An automated system for the creation of an urban infrastructure 3D model using image processing techniques","year":2011,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","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; Vanguard College","funders":"Ministry of Education, Science and Technology; National Research Foundation","keywords":"Computer science; Architecture; Image (mathematics); Database; Image processing; Geographic information system; Artificial intelligence; Geography; Remote sensing","score_opus":0.009045967683552066,"score_gpt":0.23871955507193715,"score_spread":0.2296735873883851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045643953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3063608,0.00002383459,0.69291604,0.00000535094,0.000027421293,0.00011668786,0.000002066401,0.00009172497,0.0004560911],"genre_scores_gemma":[0.76101136,0.0000014343867,0.2389232,0.0000028641623,0.00004313722,7.2384245e-7,5.807549e-7,0.000014549926,0.0000021319815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993824,0.000011952011,0.00026701987,0.000079180696,0.00015046545,0.00010900078],"domain_scores_gemma":[0.99949276,0.0000145332015,0.00023938766,0.00014925118,0.000050702805,0.00005337357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002958064,0.00008547991,0.00012269792,0.000052359293,0.00008429602,0.000028133589,0.00017794385,0.00004783138,0.000005665389],"category_scores_gemma":[0.000016854427,0.000062468855,0.000039589224,0.00012455869,0.000036662706,0.0003988557,0.0000133382855,0.00009784332,1.7369618e-7],"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":[0.0000097316715,0.000018257118,0.00009602525,0.000043984193,0.000007610083,6.638535e-7,0.001132124,0.57836044,0.4147999,0.00001681914,0.000028160131,0.0054862774],"study_design_scores_gemma":[0.000069170426,0.00004527878,0.0019351499,0.00010039046,0.000039278373,0.00006940746,0.0001583214,0.9476844,0.04976139,0.000033428267,0.000038808543,0.00006494854],"about_ca_topic_score_codex":0.000028645181,"about_ca_topic_score_gemma":0.0000075620446,"teacher_disagreement_score":0.45465055,"about_ca_system_score_codex":0.000098241224,"about_ca_system_score_gemma":0.00002000804,"threshold_uncertainty_score":0.2547406},"labels":[],"label_agreement":null},{"id":"W2050143934","doi":"10.1007/bf02824087","title":"Shear behavior of overconsolidated Nakdong river sandy silt","year":2007,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geotechnical engineering; Silt; Cohesion (chemistry); Pore water pressure; Softening; Dilatant; Overburden pressure; Shearing (physics); Geology; Shear (geology); Stress path; Shear stress; Materials science; Composite material; Geomorphology","score_opus":0.006613260206038283,"score_gpt":0.2024770446449084,"score_spread":0.19586378443887012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050143934","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":[0.8273431,0.0011534434,0.16931483,0.000008957986,0.0012273488,0.000101333215,0.000006661389,0.00025017565,0.000594119],"genre_scores_gemma":[0.9966744,0.00013053462,0.002921585,0.0000058650835,0.00017593046,0.0000016667783,0.0000012063049,0.00006969933,0.000019089559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982815,0.000007598596,0.0008037833,0.00010241011,0.0003876524,0.00041707922],"domain_scores_gemma":[0.99914175,0.00012338562,0.000122274,0.00023247593,0.00015452717,0.00022556426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067920814,0.00024305693,0.0004650415,0.00039600694,0.000019833238,0.00001593984,0.00028063162,0.00019852351,0.00004413321],"category_scores_gemma":[0.0001590476,0.00024757598,0.0002094106,0.00037587094,0.000022931315,0.00019976424,0.000032487864,0.000622289,0.000005432827],"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":[0.000016154867,0.000055922108,0.00008439454,0.0001858312,0.000105965,0.0001410485,0.00018780376,0.9033907,0.09269776,0.0003352262,0.0002364282,0.002562787],"study_design_scores_gemma":[0.003905992,0.00078168715,0.02885695,0.0019448866,0.0005816963,0.0016644407,0.00022091175,0.6036842,0.34022582,0.00018639518,0.016026905,0.0019201474],"about_ca_topic_score_codex":0.000005680658,"about_ca_topic_score_gemma":0.00000691747,"teacher_disagreement_score":0.29970652,"about_ca_system_score_codex":0.000102398204,"about_ca_system_score_gemma":0.000022718592,"threshold_uncertainty_score":0.9999977},"labels":[],"label_agreement":null},{"id":"W2056513338","doi":"10.1007/bf02823928","title":"Seismic fragility analysis of a CANDU type NPP containment building for near-fault ground motions","year":2006,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":30,"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":"Fragility; Nonlinear system; Containment (computer programming); Geology; Containment building; Seismology; Shear (geology); Fault (geology); Structural engineering; Engineering; Physics; Nuclear engineering; Computer science","score_opus":0.006541401704274953,"score_gpt":0.21542825201560817,"score_spread":0.20888685031133322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056513338","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":[0.712496,0.00078314275,0.28625208,0.000030244411,0.00020921705,0.000050158902,0.000014455565,0.000032590706,0.00013209454],"genre_scores_gemma":[0.99739885,0.00008993112,0.0022608861,0.0000142409945,0.0001719135,0.000003564128,0.000010025174,0.000024675886,0.000025936652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987665,0.000007809157,0.000636023,0.000098014025,0.00023698904,0.00025466116],"domain_scores_gemma":[0.9993545,0.000071669405,0.0001542733,0.00016342082,0.00018297201,0.00007315655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033779145,0.00016588562,0.00052436395,0.00046886012,0.00005042612,0.000036345544,0.0001619543,0.00007001054,0.000035868823],"category_scores_gemma":[0.00004189549,0.00016272767,0.00037918557,0.0009053868,0.000017275428,0.00021199124,0.0000128903985,0.00018643713,7.000801e-7],"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":[0.000007830475,0.000025757503,0.0018413013,0.000081560574,0.0010355498,0.0000028858822,0.00007868836,0.9838221,0.012469883,0.00005602134,0.00030434298,0.00027405488],"study_design_scores_gemma":[0.00036437187,0.00004909427,0.01411758,0.00007165556,0.0011823036,0.000009471745,0.000037303293,0.9793482,0.0018962264,0.00004758764,0.0027189234,0.00015729964],"about_ca_topic_score_codex":0.00013227374,"about_ca_topic_score_gemma":0.00009818694,"teacher_disagreement_score":0.2849028,"about_ca_system_score_codex":0.00017831127,"about_ca_system_score_gemma":0.00003409561,"threshold_uncertainty_score":0.6635842},"labels":[],"label_agreement":null},{"id":"W2078820952","doi":"10.1007/bf02829299","title":"Experimental validation of laboratory performance models using the third scale accelerated pavement testing","year":2006,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","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":"Saint-Gobain (Canada)","funders":"North Carolina Department of Transportation","keywords":"Structural engineering; Service life; Engineering; Fatigue cracking; Asphalt; Void (composites); Cracking; Scale model; Superposition principle; Deformation (meteorology); Geotechnical engineering; Reliability engineering; Materials science; Mathematics","score_opus":0.03365154467944935,"score_gpt":0.2441531871182382,"score_spread":0.21050164243878883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078820952","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":[0.9486779,0.000680141,0.049814127,0.0000053610884,0.00037758925,0.00012864394,0.0000023800344,0.00005644695,0.00025739014],"genre_scores_gemma":[0.99541813,0.000020327763,0.004240017,0.0000054541924,0.0002671178,0.000004896943,0.0000021867406,0.0000368557,0.0000050151098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850357,0.000019910647,0.0006913135,0.00007799808,0.00048259215,0.00022462044],"domain_scores_gemma":[0.9992396,0.000047345606,0.00025969508,0.0001425797,0.0002716009,0.000039132276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066085724,0.0001736468,0.00021443912,0.00017144746,0.00006812728,0.000037900663,0.00018496858,0.000053190102,0.00002017097],"category_scores_gemma":[0.000015142454,0.000148377,0.00005394215,0.0004065718,0.000018538063,0.00091432454,0.000024671857,0.00021816215,0.000001005321],"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":[0.0000026738355,0.000015697166,0.00081252586,0.000051281077,0.00001607921,5.734794e-7,0.00014027178,0.60310775,0.395764,0.00000696082,0.00003794154,0.00004422882],"study_design_scores_gemma":[0.0002277961,0.000038457045,0.00093549467,0.00014106573,0.000019985348,0.000007897273,0.00006184989,0.5586902,0.4397718,0.000005820249,0.000015174131,0.00008448688],"about_ca_topic_score_codex":0.000005818761,"about_ca_topic_score_gemma":0.000002130216,"teacher_disagreement_score":0.04674021,"about_ca_system_score_codex":0.00023199704,"about_ca_system_score_gemma":0.00005106838,"threshold_uncertainty_score":0.60506386},"labels":[],"label_agreement":null},{"id":"W2081356886","doi":"10.1007/s12205-013-0318-9","title":"Enhancing algorithmic base for discrete choice modelling","year":2013,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Government of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete choice; Computer science; Multinomial logistic regression; Convergence (economics); Mode (computer interface); Process (computing); Software; Estimation; Mathematical optimization; Logit; Code (set theory); Mixed logit; Logistic regression; Machine learning; Mathematics; Engineering","score_opus":0.012854473192329388,"score_gpt":0.24730761762079767,"score_spread":0.2344531444284683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081356886","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":[0.025830498,0.00017364821,0.9728533,0.00030161254,0.00036516614,0.00010805087,0.0000018901671,0.00003262737,0.00033318106],"genre_scores_gemma":[0.93963456,0.000056648154,0.059587028,0.000021672906,0.0004888979,0.0000061573664,0.0000021800652,0.000014276889,0.00018856795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926597,0.000013500158,0.00027538236,0.00006248604,0.00020220032,0.00018045634],"domain_scores_gemma":[0.9993127,0.00019342503,0.00013645276,0.000041576164,0.0002105214,0.00010529785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004304287,0.00006660538,0.00011888076,0.00010303834,0.00011918181,0.000066587614,0.000102084865,0.00004614948,0.000064205735],"category_scores_gemma":[0.00016473091,0.000065558736,0.0000729626,0.00011984671,0.000010766844,0.0005027257,0.000001966145,0.00011210776,0.000002421792],"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":[0.0000021918606,0.000005075467,0.00013956534,0.00002033889,0.000012115932,9.441566e-7,0.0022095502,0.9959774,0.0009126667,0.00032726082,0.0001425995,0.00025029012],"study_design_scores_gemma":[0.0005095036,0.000047643367,0.00067778234,0.00028761895,0.00003728815,0.0000035385233,0.0009415574,0.9854873,0.00089568004,0.0002420358,0.010669621,0.00020043821],"about_ca_topic_score_codex":0.00012528591,"about_ca_topic_score_gemma":0.00018106197,"teacher_disagreement_score":0.91380405,"about_ca_system_score_codex":0.00004241275,"about_ca_system_score_gemma":0.000059831713,"threshold_uncertainty_score":0.26734078},"labels":[],"label_agreement":null},{"id":"W2083939839","doi":"10.1007/s12205-009-0297-z","title":"How far does surface heave propagate? A discussion on analytical and numerical modeling of the surface heave induced by subsurface fluid injection","year":2009,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite element method; Geotechnical engineering; Geology; Aquifer; Surface (topology); Chart; Groundwater; Engineering; Structural engineering; Geometry; Mathematics","score_opus":0.006209667889200818,"score_gpt":0.19749071972789692,"score_spread":0.1912810518386961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083939839","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":[0.9845704,0.00019737828,0.012323856,0.002474229,0.00019789292,0.0001137307,0.000002678376,0.000015473437,0.00010437667],"genre_scores_gemma":[0.9993974,0.00009344743,0.0003349032,0.000032403816,0.000034167864,1.7885976e-7,4.3021424e-7,0.000016424332,0.000090637084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986384,0.000051863204,0.0003545458,0.00018050798,0.0005175879,0.00025712373],"domain_scores_gemma":[0.99946713,0.000035114404,0.00016440671,0.00015737087,0.000025631325,0.00015036318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037904907,0.00018935454,0.00030023945,0.00003033007,0.000087409906,0.000053946704,0.00017612567,0.00012894394,0.000018862136],"category_scores_gemma":[0.00007259233,0.00008611125,0.00011736052,0.0002732137,0.000033155084,0.00021631205,0.000059156027,0.000508908,0.0000011297467],"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":[0.00006121723,0.000052244948,0.0012209499,0.000010092586,0.000021866372,0.000003953722,0.00023073063,0.8369016,0.16096728,0.000013598054,0.0001194388,0.00039699677],"study_design_scores_gemma":[0.00050969434,0.0004953417,0.004228865,0.00023600741,0.000051587678,0.00008599608,0.00014220359,0.9701729,0.023579357,0.00007829033,0.00020538965,0.00021436508],"about_ca_topic_score_codex":0.000027834376,"about_ca_topic_score_gemma":0.0000073213682,"teacher_disagreement_score":0.13738793,"about_ca_system_score_codex":0.00014011854,"about_ca_system_score_gemma":0.00001571633,"threshold_uncertainty_score":0.3511515},"labels":[],"label_agreement":null},{"id":"W2089102605","doi":"10.1007/s12205-014-0587-y","title":"Analysis of Drought Length using the BDS statistic and Close Returns Test","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Research Foundation of Korea; Inha University","keywords":"Inflow; Series (stratigraphy); Mathematics; Nonlinear system; Time series; Statistic; Chaotic; Applied mathematics; Statistics; Computer science; Meteorology; Geography; Artificial intelligence; Geology","score_opus":0.011810860377469829,"score_gpt":0.23148946554006403,"score_spread":0.2196786051625942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089102605","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":[0.96686876,0.00044329657,0.0319877,0.00011832113,0.000069465765,0.00002584296,0.0000053235703,0.000005273997,0.00047600822],"genre_scores_gemma":[0.9979875,0.000046731187,0.0018505056,0.00002518947,0.000042782012,2.7557124e-7,6.3949824e-7,0.0000073336782,0.00003904544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909127,0.000038395858,0.00034609626,0.00009147017,0.0002837263,0.00014904239],"domain_scores_gemma":[0.99925417,0.00023238623,0.00022784868,0.00014655707,0.000027132392,0.00011188222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007751217,0.000096386604,0.00029878592,0.00014737378,0.000039732382,0.000014841269,0.00016750243,0.00004696112,0.00016790903],"category_scores_gemma":[0.0003674777,0.00006742714,0.00010543472,0.00069720484,0.000087746266,0.00018324678,0.00006092995,0.00018872415,0.0000020300067],"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":[0.000013588556,0.000042563173,0.19535369,0.00000860746,0.000593717,0.00003559559,0.0013178892,0.7975923,0.0044013555,0.000046304078,0.00022655923,0.00036788057],"study_design_scores_gemma":[0.0003478328,0.00011618446,0.07044928,0.00002547981,0.002319982,0.00010242593,0.00020987852,0.9247271,0.00039508287,0.00023865797,0.00091536524,0.00015274789],"about_ca_topic_score_codex":0.00006880387,"about_ca_topic_score_gemma":0.00047113077,"teacher_disagreement_score":0.12713483,"about_ca_system_score_codex":0.000054783362,"about_ca_system_score_gemma":0.000015131083,"threshold_uncertainty_score":0.27495992},"labels":[],"label_agreement":null},{"id":"W2091411179","doi":"10.1007/s12205-014-1207-6","title":"Development of high performance asphalt mastic using fine taconite filler","year":2014,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":36,"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":"Dynamic shear rheometer; Asphalt; Materials science; Composite material; Creep; Cracking; Rheometer; Filler (materials); Brittleness; Rut; Rheology","score_opus":0.013921322140553874,"score_gpt":0.21208980291537213,"score_spread":0.19816848077481825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091411179","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":[0.7597053,0.00019273467,0.23914939,0.000004243927,0.0006474484,0.000056682922,7.452384e-7,0.000038704384,0.00020474335],"genre_scores_gemma":[0.96096224,0.000033299617,0.038688026,0.000005371282,0.00024321358,0.0000023575537,0.0000022224917,0.00004513799,0.00001816429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834555,0.000011313095,0.00082688977,0.000083314735,0.00045158545,0.00028136364],"domain_scores_gemma":[0.99931115,0.00005687905,0.00023668706,0.00014177433,0.00016190036,0.00009161759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007214023,0.00020034965,0.00033660565,0.00031051793,0.000041760824,0.000015883426,0.00018815209,0.00006620726,0.00014503696],"category_scores_gemma":[0.00006443495,0.00019908865,0.000057215675,0.00023439675,0.000012128271,0.00043556964,0.000028506114,0.00024982364,0.000009802352],"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":[0.000007349318,0.000012114343,0.00044718332,0.00033445825,0.00006666401,0.000001111948,0.0002613977,0.94020265,0.051324397,0.000018985002,0.000037477286,0.0072862115],"study_design_scores_gemma":[0.0006265313,0.000066182656,0.012150599,0.00054939935,0.000045353765,0.000031920776,0.000015035274,0.92834514,0.056511953,0.000004950413,0.0014388324,0.00021408759],"about_ca_topic_score_codex":6.59287e-7,"about_ca_topic_score_gemma":0.0000056588515,"teacher_disagreement_score":0.2012569,"about_ca_system_score_codex":0.00017037925,"about_ca_system_score_gemma":0.000057145233,"threshold_uncertainty_score":0.81185997},"labels":[],"label_agreement":null},{"id":"W2092222411","doi":"10.1007/s12205-009-0161-1","title":"Estimation of high-temperature properties of rubberized asphalt using chromatograph","year":2009,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"AGE-WELL","keywords":"Crumb rubber; Natural rubber; Materials science; Asphalt; Composite material; Rheology; Gel permeation chromatography; Rheometer; Polymer","score_opus":0.010712089784555586,"score_gpt":0.21248724614934908,"score_spread":0.20177515636479348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092222411","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":[0.97809696,0.0013723734,0.019933179,0.000014569083,0.00037455666,0.00011868044,0.0000018109563,0.00004888656,0.00003895379],"genre_scores_gemma":[0.9917525,0.000120099205,0.007967371,0.000004859176,0.00012369515,0.0000011125339,0.0000017671537,0.000025928126,0.0000026759249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853826,0.0000147308465,0.00077359827,0.00006605526,0.0004272512,0.00018008989],"domain_scores_gemma":[0.9993153,0.000016501004,0.00029574125,0.00013718675,0.00017831667,0.00005691425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035136865,0.00017292018,0.00040095672,0.00037275866,0.000021022093,0.00001568206,0.00014669495,0.00008758157,0.000022919507],"category_scores_gemma":[0.00006024106,0.00015908664,0.000109825894,0.00036315256,0.000016524913,0.0005890245,0.000008632135,0.00020961011,5.865677e-7],"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":[0.000010426743,0.000014309545,0.000026303322,0.00019980517,0.00003891615,0.0000010737405,0.00013179096,0.53584164,0.46305618,0.000025366993,0.000018604002,0.00063561765],"study_design_scores_gemma":[0.0005713014,0.00011427817,0.0023558796,0.0008939794,0.00006096216,0.000029668212,0.000023971132,0.5132003,0.48259285,0.000027478463,0.000008350515,0.00012097096],"about_ca_topic_score_codex":0.000002379076,"about_ca_topic_score_gemma":0.0000016286135,"teacher_disagreement_score":0.02264132,"about_ca_system_score_codex":0.00007626348,"about_ca_system_score_gemma":0.000035209785,"threshold_uncertainty_score":0.6487365},"labels":[],"label_agreement":null},{"id":"W2105094675","doi":"10.1007/bf02823855","title":"Modified energy dissipation algorithm for seismic structures using magnetorheological damper","year":2007,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Dissipation; Magnetorheological fluid; Damper; Acceleration; Structural engineering; Engineering; Energy (signal processing); Magnetorheological damper; Control theory (sociology); Voltage; Algorithm; Computer science; Control (management); Mathematics; Physics; Electrical engineering","score_opus":0.01154586304031833,"score_gpt":0.2223102582939738,"score_spread":0.21076439525365548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105094675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04440082,0.0009900546,0.95331115,0.000022892873,0.0009315009,0.000059978887,0.0000051255847,0.000088804445,0.00018969164],"genre_scores_gemma":[0.963439,0.000046631874,0.035599697,0.00004476455,0.00080264907,0.0000020940654,0.000003940213,0.000028764662,0.0000324726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998873,0.000010782272,0.0005197799,0.00009685381,0.0001936944,0.00030588644],"domain_scores_gemma":[0.99943054,0.00015661129,0.000075776145,0.000084599764,0.00011291816,0.00013955923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003362856,0.00018109196,0.00028806686,0.00018372943,0.000048013157,0.00003427837,0.00014509005,0.00016048721,0.00005706177],"category_scores_gemma":[0.00008178003,0.00014400037,0.00015101569,0.00013338047,0.000017800521,0.00021500138,0.000014714416,0.00019547831,3.8410724e-7],"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":[0.000019041721,0.000010415161,0.000018681649,0.000021165883,0.000050306604,0.000013771054,0.000029977353,0.934097,0.042167056,0.002292668,0.00014325796,0.021136666],"study_design_scores_gemma":[0.00059914804,0.00010439876,0.00094245916,0.000026920063,0.00003278434,0.0000950398,0.000010713325,0.9910653,0.0041790158,0.0008107249,0.0019515731,0.00018192663],"about_ca_topic_score_codex":0.0000023481996,"about_ca_topic_score_gemma":0.0000057515485,"teacher_disagreement_score":0.9190382,"about_ca_system_score_codex":0.00008178867,"about_ca_system_score_gemma":0.00001541703,"threshold_uncertainty_score":0.58721644},"labels":[],"label_agreement":null},{"id":"W2137644833","doi":"10.1007/s12205-009-0205-6","title":"Performance of an Artificial Neural Network model for simulating saltwater intrusion process in coastal aquifers when training with noisy data","year":2009,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Artificial neural network; Training (meteorology); MATLAB; Process (computing); Saltwater intrusion; Computer science; Backpropagation; Test data; Aquifer; Transfer function; Artificial intelligence; Data modeling; Data mining; Machine learning; Engineering; Groundwater; Geotechnical engineering; Meteorology","score_opus":0.04045895344704177,"score_gpt":0.25253384951640134,"score_spread":0.2120748960693596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137644833","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":[0.97711706,0.000006211515,0.02261443,0.000058709218,0.00005383381,0.00009554469,0.000003101653,0.000016059439,0.000035063305],"genre_scores_gemma":[0.9777493,8.26051e-7,0.022058675,0.00003600379,0.00013130793,7.543059e-7,0.0000047079584,0.00001621774,0.0000022277059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872583,0.00001503511,0.00045666227,0.0001743281,0.00029190074,0.00033624395],"domain_scores_gemma":[0.999468,0.000053758577,0.00021612202,0.0001530236,0.000019880514,0.00008920154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578262,0.00013549808,0.0002536227,0.0000547096,0.000053626183,0.00002253386,0.00035181842,0.000052325267,0.000014389368],"category_scores_gemma":[0.00010506815,0.000106071115,0.000027380114,0.00015723676,0.00003580674,0.0006812059,0.00006263386,0.00025066402,2.559031e-7],"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":[0.00019390979,0.00003425778,0.0022525813,0.000019032113,0.0000036618483,0.000006589606,0.0013866785,0.9814068,0.0069877706,0.0000013695015,0.0000051158445,0.0077022132],"study_design_scores_gemma":[0.00034549145,0.000581113,0.0018768099,0.0001931426,0.000013199839,0.00003935541,0.000026792164,0.9963787,0.00029571002,0.00011624596,0.000005719967,0.00012767971],"about_ca_topic_score_codex":0.0000045827583,"about_ca_topic_score_gemma":0.00013326058,"teacher_disagreement_score":0.01497192,"about_ca_system_score_codex":0.0000413031,"about_ca_system_score_gemma":0.000019291305,"threshold_uncertainty_score":0.43254545},"labels":[],"label_agreement":null},{"id":"W2191248515","doi":"10.1007/s12205-015-1163-9","title":"Optimization of reinforced concrete retaining walls via hybrid firefly algorithm with upper bound strategy","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":42,"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 Saskatchewan","funders":"University of Tehran; National Research Foundation","keywords":"Firefly algorithm; Harmony search; Firefly protocol; Mathematical optimization; Computer science; Optimization algorithm; Upper and lower bounds; Process (computing); Optimization problem; Algorithm; Branch and bound; Hybrid algorithm (constraint satisfaction); Engineering; Mathematics","score_opus":0.008978948313949726,"score_gpt":0.18512727417013178,"score_spread":0.17614832585618206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2191248515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033081494,0.00052641396,0.96461546,0.00001070893,0.0003998694,0.00010089059,0.0000038339313,0.00008035169,0.0011809525],"genre_scores_gemma":[0.9695082,0.000046293153,0.03005555,0.0000045445786,0.00021493417,0.0000022060199,0.00000809196,0.00006243474,0.000097803575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986726,0.000015767677,0.000638035,0.00008814602,0.0003522993,0.00023313136],"domain_scores_gemma":[0.9990772,0.000028186652,0.00023046778,0.00014653635,0.00035111644,0.00016651028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038740414,0.00019898453,0.0003820837,0.0002133843,0.00002085451,0.00006162122,0.00014698521,0.00007069491,0.000018484714],"category_scores_gemma":[0.000033698856,0.0001737042,0.0000691995,0.00019313015,0.000015277526,0.00058467186,0.000014349167,0.00021191438,0.0000013566017],"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":[0.000016132552,0.0000010839467,0.00003068793,0.00008269019,0.00009895649,0.000028641205,0.00035412985,0.9978831,0.000930943,0.000017026125,0.00026483028,0.00029180036],"study_design_scores_gemma":[0.0008396792,0.0002361832,0.00002514804,0.00032313715,0.00004185648,0.00031005082,0.0000807033,0.99137694,0.00623041,0.000003788404,0.00033165226,0.0002004401],"about_ca_topic_score_codex":0.000011571862,"about_ca_topic_score_gemma":0.0000069019534,"teacher_disagreement_score":0.93642664,"about_ca_system_score_codex":0.00011053272,"about_ca_system_score_gemma":0.00006069826,"threshold_uncertainty_score":0.7083452},"labels":[],"label_agreement":null},{"id":"W2295160447","doi":"10.1007/s12205-016-0693-6","title":"Effects of street pattern, traffic, road infrastructure, socioeconomic and demographic characteristics on public transit ridership","year":2016,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Public transport; Socioeconomic status; Business; Transport engineering; Geography; Population; Environmental health; Engineering","score_opus":0.007346489977617931,"score_gpt":0.2108702528448214,"score_spread":0.20352376286720344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295160447","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":[0.99643147,0.00027940143,0.0023933884,0.0004192484,0.00031676143,0.00008031142,0.000008037312,0.000018762124,0.00005264163],"genre_scores_gemma":[0.9993793,0.00029547868,0.00003275976,0.000021320364,0.00024890192,9.777033e-7,4.1761913e-7,0.000013223962,0.000007638205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897397,0.00004540496,0.00040652097,0.00011418028,0.00021831832,0.00024162239],"domain_scores_gemma":[0.99918324,0.00023905389,0.00025638912,0.00007847468,0.00007303189,0.00016979576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047476855,0.00012969036,0.0003106988,0.00018184863,0.000061654966,0.00003641835,0.00020469964,0.000101462145,0.00007209364],"category_scores_gemma":[0.00011394227,0.00009803362,0.0001308095,0.000087376575,0.000115405644,0.00036124405,0.0000055806727,0.00018634951,5.798873e-7],"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":[0.0000674076,0.00014422099,0.8309428,0.00055462186,0.00025608574,0.000031105454,0.0037005546,0.0003495788,0.0068413704,0.00037052843,0.000157899,0.15658385],"study_design_scores_gemma":[0.0006865434,0.00011480321,0.9974279,0.00025264558,0.00004918565,0.0000012359372,0.000089875284,0.000073521354,0.00060718635,0.0001034021,0.00044973704,0.00014398055],"about_ca_topic_score_codex":0.00001556507,"about_ca_topic_score_gemma":0.0005275387,"teacher_disagreement_score":0.1664851,"about_ca_system_score_codex":0.00005282164,"about_ca_system_score_gemma":0.00007503365,"threshold_uncertainty_score":0.39976948},"labels":[],"label_agreement":null},{"id":"W2345282952","doi":"10.1007/s12205-016-0705-0","title":"Public transportation and sustainability: A review","year":2016,"lang":"en","type":"review","venue":"KSCE Journal of Civil Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":225,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sustainability; Public transport; Sustainable transport; Social sustainability; Business; Environmental planning; Transportation planning; Sustainable development; Sustainability organizations; Order (exchange); Key (lock); Environmental resource management; Transport engineering; Environmental economics; Engineering; Political science; Economics; Computer science; Geography; Ecology","score_opus":0.031805622037383914,"score_gpt":0.309125073134094,"score_spread":0.2773194510967101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345282952","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":[6.2668863e-7,0.98698646,0.011703502,0.0005669356,0.00022010329,0.00022987838,0.0000099992085,0.000029959716,0.00025252101],"genre_scores_gemma":[0.00014031866,0.9992606,0.00022498702,0.000016282052,0.00019748164,0.000007392653,0.0000111190575,0.000021605294,0.00012020435],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99855417,0.000097429525,0.0007126892,0.000112890935,0.00032823428,0.00019456778],"domain_scores_gemma":[0.9985971,0.00021743115,0.0005447328,0.00007987463,0.00040322496,0.00015763842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012463484,0.00016051396,0.0007643704,0.0002389171,0.00007724807,0.000047714908,0.00015350964,0.00014166525,0.00007071094],"category_scores_gemma":[0.0006746574,0.00012289199,0.00022935928,0.00033568114,0.00003839145,0.00036595715,0.0000017406148,0.00023409528,0.0000013250033],"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":[0.0000016728876,0.000017727118,0.00002955604,0.05322427,0.00010983157,0.00003441531,0.0009104392,0.00015931472,3.6536438e-8,0.0043454254,0.0009178245,0.9402495],"study_design_scores_gemma":[0.00007033264,0.000013918071,0.000017459815,0.045898084,0.00027358672,0.000010156495,0.000034951347,0.0000030908398,9.9932205e-9,0.00004899936,0.9535016,0.00012785828],"about_ca_topic_score_codex":0.000006815376,"about_ca_topic_score_gemma":0.00011949972,"teacher_disagreement_score":0.95258373,"about_ca_system_score_codex":0.00015717687,"about_ca_system_score_gemma":0.00071058405,"threshold_uncertainty_score":0.5011389},"labels":[],"label_agreement":null},{"id":"W2460782470","doi":"10.1007/s12205-016-0933-3","title":"Exploring wavelet applications in civil engineering","year":2016,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wavelet; Wavelet transform; Discrete wavelet transform; Lifting scheme; Second-generation wavelet transform; Wavelet packet decomposition; Stationary wavelet transform; Harmonic wavelet transform; Computer science; Pattern recognition (psychology); Engineering; Artificial intelligence","score_opus":0.032137595115670735,"score_gpt":0.2457643557542505,"score_spread":0.21362676063857977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460782470","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":[0.84076464,0.0013984068,0.15401152,0.0001426254,0.0020054604,0.00032235542,0.000008070347,0.00095310353,0.0003938182],"genre_scores_gemma":[0.9910552,0.0009050508,0.0071453177,0.0000043568625,0.0007093593,0.00006781575,4.9126703e-7,0.000102519385,0.000009906627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981877,0.000011178535,0.00078671426,0.00015629893,0.0003185552,0.0005395382],"domain_scores_gemma":[0.99902344,0.00027527966,0.0001082146,0.00028664878,0.00008945546,0.00021698406],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036947537,0.00030002347,0.0004196167,0.000708029,0.000027266677,0.000027776427,0.00038401978,0.000103434475,0.000027420057],"category_scores_gemma":[0.00014686695,0.00024754775,0.000120830366,0.0004901515,0.000012996974,0.0007263327,0.00004457354,0.00046856792,0.0000062895824],"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":[0.000047367917,0.00008822447,0.008313028,0.002240254,0.00029955409,0.00024493106,0.0018209581,0.60791445,0.25980344,0.0037117656,0.0014384392,0.11407756],"study_design_scores_gemma":[0.005774841,0.0006374486,0.40788993,0.014306681,0.00018290675,0.0014574229,0.0003481044,0.10537787,0.2971627,0.0017134612,0.16016634,0.004982287],"about_ca_topic_score_codex":0.000005332087,"about_ca_topic_score_gemma":0.00003175776,"teacher_disagreement_score":0.5025366,"about_ca_system_score_codex":0.0005139743,"about_ca_system_score_gemma":0.000029061248,"threshold_uncertainty_score":0.9999977},"labels":[],"label_agreement":null},{"id":"W2612901984","doi":"10.1007/s12205-017-0654-2","title":"A rapid field measurement method for the determination of Joint Roughness Coefficient of large rock joint surfaces","year":2017,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China","keywords":"Joint (building); Rock mass classification; Surface finish; Surface roughness; Grayscale; Sampling (signal processing); Remote sensing; Geotechnical engineering; Geology; Materials science; Structural engineering; Computer science; Engineering; Image (mathematics); Composite material; Artificial intelligence; Computer vision","score_opus":0.04051626521075089,"score_gpt":0.2650613692323049,"score_spread":0.224545104021554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612901984","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0176514,0.0019471733,0.9792589,0.0000944537,0.00081948016,0.0001593922,0.0000053182034,0.000013132929,0.000050748746],"genre_scores_gemma":[0.9852392,0.00025803602,0.014362583,0.000006111338,0.0000969741,0.000005941347,2.1539596e-7,0.000026711083,0.000004218753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987164,0.0000129567115,0.00061329204,0.000074268806,0.00038738156,0.00019565887],"domain_scores_gemma":[0.9987675,0.000117149604,0.00039239958,0.00026443036,0.00040961793,0.00004891074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018433616,0.00013519992,0.00035763343,0.00011206163,0.00009052017,0.000032668442,0.0002764853,0.00006195108,0.000008420784],"category_scores_gemma":[0.00048815183,0.000104546925,0.00020624074,0.0000422815,0.0000027660958,0.0001318764,0.000047088557,0.00017003837,1.3487119e-7],"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":[0.000010908333,0.000021861744,0.0000017638602,0.00030252952,0.00007369139,0.0000010442644,0.00029826685,0.8083269,0.18580231,0.0001523196,0.0000763289,0.004932086],"study_design_scores_gemma":[0.00037001475,0.00008210366,0.000066892244,0.00032912832,0.000055490033,0.000009064257,0.00005799458,0.69604844,0.30231842,0.000037441834,0.000550441,0.00007454504],"about_ca_topic_score_codex":0.000006204882,"about_ca_topic_score_gemma":0.000024516477,"teacher_disagreement_score":0.9675878,"about_ca_system_score_codex":0.00005681611,"about_ca_system_score_gemma":0.00002912938,"threshold_uncertainty_score":0.42632997},"labels":[],"label_agreement":null},{"id":"W2758423037","doi":"10.1007/s12205-017-1052-5","title":"The Probabilistic Stability Analysis of Saturated-Unsaturated MH and CL Soil Slope with Rainfall Infiltration","year":2017,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Infiltration (HVAC); Geotechnical engineering; Hydraulic conductivity; Slope stability; Vegetation and slope stability; Soil science; Vadose zone; Soil water; Suction; Environmental science; Hydrology (agriculture); Geology; Groundwater; Materials science; Engineering","score_opus":0.00870038845078466,"score_gpt":0.19650973872969899,"score_spread":0.18780935027891432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758423037","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":[0.9943517,0.00090638164,0.0034352913,0.000097924945,0.00032947218,0.000110582594,0.000008501692,0.000058098063,0.00070203346],"genre_scores_gemma":[0.9992897,0.00027157165,0.0003118957,0.000003833613,0.00007922438,0.000002938303,0.0000032977678,0.000025595018,0.00001194103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878114,0.000026102418,0.00054157525,0.00011897661,0.0002884639,0.00024374019],"domain_scores_gemma":[0.99859506,0.00021709314,0.00031531195,0.00039863645,0.00036087752,0.000113012764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055588334,0.00021380007,0.00044047897,0.00018896189,0.00016769145,0.0002147798,0.0002969235,0.00010250644,0.000010308888],"category_scores_gemma":[0.00041074236,0.00013844225,0.000112199,0.00039302677,0.000098817814,0.00042181608,0.000023412562,0.00043898803,3.3653765e-7],"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":[0.00012930085,0.00002316076,0.0051968875,0.0001807422,0.0017791349,0.000018040722,0.00062248885,0.9619087,0.026934491,0.00017423458,0.000102102225,0.0029307283],"study_design_scores_gemma":[0.00093808933,0.00017972781,0.21777873,0.00025863608,0.0011132966,0.0000713469,0.00016874906,0.76900494,0.009402023,0.0000612346,0.0006353653,0.00038784812],"about_ca_topic_score_codex":0.000017341325,"about_ca_topic_score_gemma":0.0009966396,"teacher_disagreement_score":0.21258184,"about_ca_system_score_codex":0.000064831554,"about_ca_system_score_gemma":0.000055003897,"threshold_uncertainty_score":0.5645511},"labels":[],"label_agreement":null},{"id":"W2801449844","doi":"10.1007/s12205-018-1314-x","title":"Sustainable Management Framework for Transportation Assets: Application to Urban Pavement Networks","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interurban; Asset management; Asset (computer security); Sustainable development; Sustainable management; Business; Environmental resource management; Transport engineering; Risk analysis (engineering); Computer science; Engineering; Sustainability; Economics; Computer security","score_opus":0.0027741684946784757,"score_gpt":0.20641157080350983,"score_spread":0.20363740230883134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801449844","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":[0.013691569,0.00017545921,0.98454654,0.00004015856,0.0010256754,0.0002971051,0.0000019261536,0.00007399862,0.0001475792],"genre_scores_gemma":[0.95136493,0.00003753049,0.046823654,0.00003587256,0.0015979853,0.000045288016,0.0000034935724,0.000045139914,0.00004610217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990095,0.0000027949056,0.00035679596,0.00009648966,0.000175887,0.00035852654],"domain_scores_gemma":[0.9994741,0.000029424284,0.000072074145,0.0001357571,0.00018700604,0.000101640915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026416164,0.00014785797,0.00017522414,0.00017392424,0.000051264804,0.000043153334,0.00017250374,0.00007148758,0.0000079471965],"category_scores_gemma":[0.000017076745,0.00014926726,0.000076515826,0.00022234711,0.0000062101035,0.00016463327,0.0000077633895,0.0001662805,0.0000016427291],"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":[0.000019442467,0.000008019221,0.00013610862,0.00022956142,0.000096605654,0.000008950011,0.00045585507,0.97825,0.0013448033,0.012972295,0.0033618652,0.003116442],"study_design_scores_gemma":[0.0020068674,0.0009558439,0.018996049,0.001868642,0.00038556985,0.000032472228,0.0016077876,0.44007283,0.024527142,0.006506242,0.5016327,0.0014078231],"about_ca_topic_score_codex":0.0000013165532,"about_ca_topic_score_gemma":0.000007834165,"teacher_disagreement_score":0.93772286,"about_ca_system_score_codex":0.00018724614,"about_ca_system_score_gemma":0.000007104961,"threshold_uncertainty_score":0.60869426},"labels":[],"label_agreement":null},{"id":"W2804830572","doi":"10.1007/s12205-018-1405-8","title":"Performance of Cement Mortars under Tannery Wastewater","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Portland cement; Cement; Mortar; Materials science; Wastewater; Scanning electron microscope; Microstructure; Durability; Composite material; Environmental science; Waste management; Metallurgy; Engineering","score_opus":0.01044728031478049,"score_gpt":0.17808769081930936,"score_spread":0.16764041050452888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804830572","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":[0.9984629,0.00012117592,0.0003951416,0.00006136037,0.0005951037,0.00001898981,0.000002190628,0.000005459432,0.0003376847],"genre_scores_gemma":[0.998894,0.00005776463,0.00074183225,0.000028328623,0.00024912786,6.289007e-8,0.0000012289274,0.0000026584985,0.000025037607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994133,0.000007655691,0.00025901155,0.000043664302,0.0001626888,0.00011364773],"domain_scores_gemma":[0.9996852,0.000017348466,0.00012638912,0.000059170197,0.00007099617,0.00004088311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020848209,0.000060386337,0.00011716553,0.00007057514,0.000023175453,0.000016638807,0.00009732373,0.000024193832,0.000634793],"category_scores_gemma":[0.00000989554,0.000046091074,0.000031619602,0.00006934993,0.000017703784,0.00019267501,0.000004526982,0.000051038453,0.000008858689],"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":[0.00014932454,0.000025153971,0.23604128,0.00019571914,0.000113445276,0.00001010004,0.00030589147,0.62203825,0.13519613,0.00006482709,0.00073047285,0.0051293923],"study_design_scores_gemma":[0.00042425,0.00075046363,0.8165764,0.00035449304,0.000040494953,0.00009344585,0.000073216,0.12260442,0.056025904,0.00006181888,0.0027930564,0.00020202044],"about_ca_topic_score_codex":0.000035049386,"about_ca_topic_score_gemma":0.00005470283,"teacher_disagreement_score":0.5805351,"about_ca_system_score_codex":0.0000035549363,"about_ca_system_score_gemma":0.000020069932,"threshold_uncertainty_score":0.6950539},"labels":[],"label_agreement":null},{"id":"W2899317733","doi":"10.1007/s12205-019-1370-x","title":"Ship Twin-propeller Jet Model used to Predict the Initial Velocity and Velocity Distribution within Diffusing Jet","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tianjin University; Universiti Malaya; Queen's University; Dalian University of Technology; Natural Science Foundation of Tianjin City; Queen's University Belfast; University of Oxford","keywords":"Propeller; Jet (fluid); Mechanics; Wake; Physics; Turbulence; Computational fluid dynamics; Flow velocity; Advance ratio; Flow (mathematics); Engineering; Marine engineering; Blade pitch; Thermodynamics","score_opus":0.02533613632257131,"score_gpt":0.24396236569686103,"score_spread":0.21862622937428972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899317733","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":[0.7141689,0.00008636622,0.28445747,0.00014532678,0.0006819718,0.00013005285,0.000028586657,0.00008945367,0.00021189028],"genre_scores_gemma":[0.99623,0.000010774379,0.0029604998,0.000042937856,0.0006817263,0.0000056584377,0.000004653425,0.000051858216,0.000011892238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857104,0.000028434984,0.0005420067,0.000140633,0.0004022981,0.00031557158],"domain_scores_gemma":[0.9991584,0.00012575918,0.000113980495,0.00019674441,0.00019830285,0.00020684519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073279743,0.00024319123,0.00029198625,0.00013129627,0.00011487866,0.000120189055,0.00024257874,0.000087639324,0.00002474448],"category_scores_gemma":[0.00032477983,0.00019248918,0.000074922085,0.0002998631,0.00005831087,0.00035256418,0.000072764946,0.0004676504,0.000007969372],"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":[0.000049396676,0.00002439563,0.0004479237,0.00009280324,0.000112444286,0.000009615632,0.0041705035,0.9757544,0.016573396,0.0004413719,0.0016774326,0.0006463333],"study_design_scores_gemma":[0.0006721787,0.00011468552,0.007893741,0.00020535968,0.000059164424,0.000080527614,0.00009306565,0.982546,0.0065666824,0.00033622238,0.001133278,0.00029912664],"about_ca_topic_score_codex":0.000004655987,"about_ca_topic_score_gemma":0.000055239834,"teacher_disagreement_score":0.28206113,"about_ca_system_score_codex":0.00023021521,"about_ca_system_score_gemma":0.000048102946,"threshold_uncertainty_score":0.7849481},"labels":[],"label_agreement":null},{"id":"W2904893748","doi":"10.1007/s12205-018-0132-5","title":"Traffic Condition Monitoring with SCAAT Kalman Filter-based Data Fusion in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Kalman filter; Sensor fusion; Real-time computing; Data mining; Computer science; Sampling (signal processing); Categorical variable; Floating car data; Induction loop; Global Positioning System; Engineering; Detector; Telecommunications; Transport engineering; Artificial intelligence; Traffic congestion","score_opus":0.009591741875581586,"score_gpt":0.21778460222615537,"score_spread":0.20819286035057377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904893748","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":[0.7168328,0.0013047059,0.27383855,0.0001230931,0.0030584433,0.0002895812,0.00003809963,0.001495094,0.003019601],"genre_scores_gemma":[0.99722,0.0000874815,0.00226216,0.000012765867,0.0003661105,0.0000029607236,0.000010192042,0.000032343563,0.0000059871372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999072,0.000009385155,0.0003136553,0.00010963838,0.00028294433,0.00021237369],"domain_scores_gemma":[0.99951965,0.000026574386,0.00006447074,0.00024633066,0.000053426396,0.00008957531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002159882,0.00014849882,0.00018028499,0.00014118846,0.00002693329,0.000029720279,0.00030558565,0.000044951816,0.000045787936],"category_scores_gemma":[0.000017545513,0.00014183523,0.000021342168,0.00014046046,0.00001237024,0.00047708262,0.00002799335,0.00018913283,5.9686e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004525893,0.00004751127,0.0005998781,0.0002200068,0.00009120612,0.00013646384,0.0001428472,0.9480961,0.0064451653,0.00003262919,0.03186639,0.012276573],"study_design_scores_gemma":[0.0011675728,0.00023268105,0.011255668,0.0011454913,0.000045798533,0.00006155788,0.00018946579,0.9563009,0.006611798,9.717086e-7,0.022631008,0.0003570612],"about_ca_topic_score_codex":0.003029183,"about_ca_topic_score_gemma":0.32975042,"teacher_disagreement_score":0.32672125,"about_ca_system_score_codex":0.00051913445,"about_ca_system_score_gemma":0.00006788675,"threshold_uncertainty_score":0.68247986},"labels":[],"label_agreement":null},{"id":"W2913984120","doi":"10.1007/s12205-019-0563-7","title":"A Strain Based Method for Determining the Crack Closure and Initiation Stress in Compression Tests","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Crack closure; Closure (psychology); Structural engineering; Materials science; Compression (physics); Stress (linguistics); Deformation (meteorology); Composite material; Fracture mechanics; Engineering","score_opus":0.01305839438455924,"score_gpt":0.24820918406627113,"score_spread":0.23515078968171188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913984120","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4951982,0.00027447988,0.5040366,0.00003051943,0.00026210668,0.00013289056,0.0000073597985,0.000018642222,0.000039224906],"genre_scores_gemma":[0.9833211,0.000023387143,0.016516121,0.00001749112,0.00008489017,0.0000042726742,0.0000019048413,0.000028935396,0.0000019184567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933606,0.000015640766,0.00029820992,0.000068853515,0.00012601099,0.00015522489],"domain_scores_gemma":[0.9994495,0.00029343224,0.000075425196,0.000079945894,0.000059023652,0.00004266456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048202364,0.00010913568,0.0001844437,0.00013790868,0.000021604847,0.000035488563,0.000099057586,0.00005953344,0.000004452901],"category_scores_gemma":[0.00007645824,0.00008746287,0.000050258473,0.0000698433,0.0000014720348,0.00015477311,0.000013559176,0.00023088879,1.9574118e-7],"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":[0.00000693232,0.0000069261687,0.00066533335,0.0001739273,0.000010242586,0.0000016571629,0.00017096876,0.9549204,0.041998487,0.000037176545,0.000014111624,0.0019938103],"study_design_scores_gemma":[0.00081991905,0.00005519368,0.0026813915,0.0004957039,0.000013361289,0.00000814689,0.00004599895,0.9911981,0.0043113413,0.000065655775,0.00020359147,0.00010159426],"about_ca_topic_score_codex":7.748019e-7,"about_ca_topic_score_gemma":0.000019971572,"teacher_disagreement_score":0.48812288,"about_ca_system_score_codex":0.000032947333,"about_ca_system_score_gemma":0.000015301097,"threshold_uncertainty_score":0.35666323},"labels":[],"label_agreement":null},{"id":"W2970076376","doi":"10.1007/s12205-019-0572-6","title":"Estimating the Stand-Up Time of Unsupported Vertical Trenches in Vadose Zone","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Atom Enerjisi Kurumu","keywords":"Trench; Vadose zone; Water table; Geotechnical engineering; Geology; Excavation; Groundwater; Infiltration (HVAC); Suction; Soil water; Pore water pressure; Soil science; Engineering","score_opus":0.00553589628327948,"score_gpt":0.18788697025438664,"score_spread":0.18235107397110717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970076376","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":[0.98804104,0.0009545337,0.009537993,0.0000423148,0.00081205106,0.00006349463,0.0000019855293,0.00004764611,0.00049893407],"genre_scores_gemma":[0.99870986,0.000025353898,0.0010315346,0.0000053897866,0.00013803063,9.719625e-7,7.590492e-7,0.00002934695,0.000058753845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891317,0.000014668243,0.0005239381,0.000068206675,0.0002428138,0.00023722462],"domain_scores_gemma":[0.99949056,0.00017453094,0.000059863993,0.0001474174,0.000058716676,0.00006892525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034599248,0.00014778762,0.00032555647,0.00017675023,0.000010372862,0.000019124223,0.00019253128,0.0000798043,0.000095254414],"category_scores_gemma":[0.000097273005,0.00011013539,0.00009161608,0.00031682948,0.000014323001,0.0001723143,0.00001687121,0.0004437749,0.000013846644],"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":[0.00002010627,0.000018343508,0.0010888695,0.00013531034,0.00007728824,0.00002343226,0.0006950282,0.9522861,0.04373164,0.000019012698,0.00030605018,0.0015987956],"study_design_scores_gemma":[0.0007659202,0.000069261856,0.006892575,0.00048546432,0.000031661777,0.000080845304,0.000065987595,0.9837293,0.007432552,0.000017651548,0.00028057923,0.00014820261],"about_ca_topic_score_codex":0.0000037732505,"about_ca_topic_score_gemma":0.0000064069754,"teacher_disagreement_score":0.03629909,"about_ca_system_score_codex":0.000060575458,"about_ca_system_score_gemma":0.0000349144,"threshold_uncertainty_score":0.4491191},"labels":[],"label_agreement":null},{"id":"W2980146438","doi":"10.1007/s12205-019-0084-4","title":"Effect of Dynamic Interaction of Two Neighboring Tunnels on Vibrations from Underground Railways in the Saturated Soil","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biot number; Vibration; Geotechnical engineering; Boundary value problem; Shell (structure); Soil structure interaction; Structural engineering; Geology; Engineering; Mechanics; Physics; Mathematics; Finite element method; Acoustics; Mathematical analysis; Civil engineering","score_opus":0.004119400088472814,"score_gpt":0.2176633545561382,"score_spread":0.2135439544676654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980146438","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":[0.9544927,0.000309068,0.04323183,0.000017111628,0.0011622959,0.00012512063,0.000010673139,0.000047058227,0.0006041469],"genre_scores_gemma":[0.9994436,0.00008116911,0.0003211827,0.0000036895065,0.0000871018,0.0000030140502,0.0000072051976,0.00004602674,0.0000070413066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987331,0.000048838763,0.0006218947,0.00010093282,0.00029215202,0.00020310438],"domain_scores_gemma":[0.99865484,0.00082987087,0.00017285357,0.00024371914,0.00005335016,0.000045367986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004921255,0.00022409065,0.00043887243,0.00038533527,0.000013211471,0.000030106476,0.00025769783,0.00008500592,0.000019922058],"category_scores_gemma":[0.0001003466,0.00017936093,0.00015348465,0.0003859254,0.00001091422,0.00030839958,0.000014206925,0.0005834824,0.0000039638603],"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":[0.000035048502,0.000018934397,0.00026952373,0.0001629984,0.00007926422,0.000005972226,0.0003250133,0.87700623,0.12128808,0.0001631195,0.000010535312,0.0006352726],"study_design_scores_gemma":[0.0010581348,0.00032119328,0.0043145115,0.0008204539,0.00004765332,0.000029953626,0.00009099511,0.97834915,0.014709215,0.000055329612,0.00003206581,0.00017131888],"about_ca_topic_score_codex":0.00002408529,"about_ca_topic_score_gemma":0.000071655275,"teacher_disagreement_score":0.10657887,"about_ca_system_score_codex":0.00015413838,"about_ca_system_score_gemma":0.000019011532,"threshold_uncertainty_score":0.73141265},"labels":[],"label_agreement":null},{"id":"W2981524687","doi":"10.1007/s12205-019-0834-3","title":"Burnt Clay Brick Aggregate for Internal Curing of Concrete under Adverse Curing Conditions","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete Properties and Behavior","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Curing (chemistry); Materials science; Shrinkage; Composite material; Compressive strength; Absorption of water","score_opus":0.008939436862891623,"score_gpt":0.2126473634087621,"score_spread":0.2037079265458705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981524687","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":[0.9773757,0.0013285876,0.018855048,0.000033547425,0.0016646592,0.00019873069,0.00001972031,0.00007315787,0.00045086685],"genre_scores_gemma":[0.99842817,0.00014688639,0.00092126965,0.00001239429,0.0002909995,0.0000067646515,0.000002258474,0.00006787045,0.00012340535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863285,0.000008558731,0.00067676645,0.000115839226,0.00023576431,0.0003302219],"domain_scores_gemma":[0.99921054,0.00010386339,0.00020664798,0.00017505008,0.00017145208,0.00013243816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023622802,0.00022063793,0.0004417657,0.0002460966,0.000027363278,0.00002725384,0.00025052353,0.000084471394,0.00017974089],"category_scores_gemma":[0.000038932474,0.00021105858,0.0003059541,0.00012382149,0.000020184216,0.00035282824,0.00004543158,0.00034975354,0.000008431723],"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":[0.000036954883,0.0000055540263,0.00071320403,0.00047137466,0.00019571216,0.00001567235,0.0002466576,0.52717346,0.4703018,0.00015544833,0.00025605824,0.00042811033],"study_design_scores_gemma":[0.007280824,0.0009771818,0.006624455,0.00643164,0.000637449,0.0009617531,0.00079993147,0.50774944,0.44016638,0.000121266035,0.026597347,0.0016522873],"about_ca_topic_score_codex":0.000007883054,"about_ca_topic_score_gemma":0.0000051308657,"teacher_disagreement_score":0.030135408,"about_ca_system_score_codex":0.00013221025,"about_ca_system_score_gemma":0.00003257771,"threshold_uncertainty_score":0.8606719},"labels":[],"label_agreement":null},{"id":"W2982618260","doi":"10.1007/s12205-019-2237-x","title":"Assess the Effectiveness of SMA on Response of Steel Connection with PT Strands","year":2019,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Structural Load-Bearing Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Connection (principal bundle); SMA*; Structural engineering; Materials science; Dissipation; Stiffness; Martensite; Shape-memory alloy; Composite material; Engineering; Computer science; Microstructure","score_opus":0.005434526533185831,"score_gpt":0.1954633165889998,"score_spread":0.19002879005581397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982618260","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":[0.9946101,0.0001323929,0.0045180097,0.000007848246,0.00030890352,0.00008896408,0.00000283934,0.000028214174,0.00030274494],"genre_scores_gemma":[0.999716,0.0000136797935,0.00017745509,0.000001292893,0.00004399505,0.000001405599,4.1296e-7,0.000031932206,0.000013856838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989659,0.00010801937,0.0003557656,0.00007986872,0.00034260954,0.00014782652],"domain_scores_gemma":[0.99827486,0.0011470397,0.0001589153,0.000221998,0.00015241739,0.000044758115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011837564,0.00015626493,0.00041452088,0.00026648285,0.000014617309,0.00001525502,0.00018958199,0.000060231177,0.000023987535],"category_scores_gemma":[0.00016335628,0.0001049164,0.00014100561,0.00034881686,0.000018281506,0.00012879417,0.000010788976,0.0003053128,0.0000012192208],"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":[0.00053936243,0.000006069261,0.0017189524,0.0002092714,0.00021226676,0.000003520079,0.00005880524,0.5809864,0.4161111,0.000101364516,0.0000025758907,0.000050307193],"study_design_scores_gemma":[0.0012965739,0.0006651058,0.27199003,0.001247614,0.00015904044,0.00010932774,0.000115972034,0.037706126,0.6864504,0.000017742994,0.000052720807,0.00018928589],"about_ca_topic_score_codex":0.00000674203,"about_ca_topic_score_gemma":0.000006601613,"teacher_disagreement_score":0.5432803,"about_ca_system_score_codex":0.0000867941,"about_ca_system_score_gemma":0.000025423833,"threshold_uncertainty_score":0.42783666},"labels":[],"label_agreement":null},{"id":"W3003843112","doi":"10.1007/s12205-020-2178-4","title":"Measured and Predicted Durability and Mechanical Properties of Frozen-Thawed Fine Soils","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Durability; Repeatability; Geotechnical engineering; Soil water; Electrical resistivity and conductivity; Compressive strength; Thermal; Materials science; Environmental science; Mathematics; Soil science; Engineering; Composite material; Statistics; Thermodynamics; Physics","score_opus":0.03731512641699821,"score_gpt":0.1875322384437563,"score_spread":0.15021711202675808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003843112","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":[0.99560255,0.0031719434,0.00017023216,0.0007253975,0.000106568856,0.000057243407,0.00010863485,0.000011404026,0.00004603227],"genre_scores_gemma":[0.9994124,0.00027083154,0.00012775406,0.000038046383,0.0001367844,1.3323086e-7,0.000008536738,0.00000356674,0.000001901202],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999256,0.000023966351,0.0003052038,0.00008938761,0.00019937036,0.00012604787],"domain_scores_gemma":[0.9995386,0.00006375574,0.00010037361,0.00005139501,0.00007005267,0.00017580962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002733164,0.00009419955,0.00026047544,0.000041897645,0.000024111532,0.000022993554,0.00007956213,0.000047317542,0.00026260832],"category_scores_gemma":[0.0002705995,0.00006982498,0.00003920653,0.00009040941,0.000030538515,0.00016626464,0.000013031697,0.00015866777,6.1786784e-7],"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":[0.0008763913,0.000058646558,0.29594484,0.0018727143,0.00024003032,0.00008579801,0.0057928246,0.014481794,0.6740011,0.000020183346,0.0007116447,0.0059140455],"study_design_scores_gemma":[0.0022255445,0.0012047623,0.70474,0.0007305048,0.00015559385,0.0003944263,0.00044131782,0.25495645,0.03339557,0.000084768406,0.0012298204,0.00044124018],"about_ca_topic_score_codex":0.000055422577,"about_ca_topic_score_gemma":0.0008711675,"teacher_disagreement_score":0.6406055,"about_ca_system_score_codex":0.000002126923,"about_ca_system_score_gemma":0.000019854147,"threshold_uncertainty_score":0.2875377},"labels":[],"label_agreement":null},{"id":"W3009137936","doi":"10.1007/s12205-020-0567-3","title":"Optimizing the Unconnected Piled Raft Foundation for Soft Clay Soils: Numerical Study","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Cushion; Geotechnical engineering; Foundation (evidence); Embedment; Raft; Pile; Stiffness; Engineering; Structural engineering; Bearing capacity; Materials science; Composite material","score_opus":0.014585459228422828,"score_gpt":0.2185191905370117,"score_spread":0.20393373130858886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009137936","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05855522,0.0003328136,0.9393491,0.0003845374,0.0005878743,0.0003473551,0.000001945936,0.00036067775,0.00008044662],"genre_scores_gemma":[0.9972561,0.000020514719,0.0021004756,0.000041354124,0.00047474288,0.000024255785,0.0000032752523,0.00007477611,0.00000452225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986106,0.000025906345,0.0006312451,0.0001392596,0.0002979529,0.00029502227],"domain_scores_gemma":[0.9990484,0.00034749848,0.00010823599,0.00016069786,0.00016892092,0.00016626446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045002473,0.00023074997,0.00037150987,0.00009888629,0.00007232813,0.00008682055,0.00029682403,0.000088212495,0.00002560038],"category_scores_gemma":[0.00081931165,0.00018729386,0.00016941821,0.00042814034,0.000011072741,0.00023411402,0.000028217737,0.0004598339,0.000004482843],"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":[0.00002326146,0.00003146836,0.000027186039,0.000093391,0.000094022704,0.0000047220624,0.0009003994,0.99243045,0.0050054337,0.000050139686,0.00028262907,0.0010568737],"study_design_scores_gemma":[0.0008990669,0.00030918777,0.00027507165,0.000057019744,0.00008284679,0.000016600114,0.00018796352,0.99330074,0.0005191209,0.000021793243,0.0041143224,0.00021626233],"about_ca_topic_score_codex":0.0000015092414,"about_ca_topic_score_gemma":0.0000040557384,"teacher_disagreement_score":0.93870085,"about_ca_system_score_codex":0.000094559255,"about_ca_system_score_gemma":0.000029355015,"threshold_uncertainty_score":0.76376224},"labels":[],"label_agreement":null},{"id":"W3009959647","doi":"10.1007/s12205-020-0671-4","title":"Mitigation of Temperature-Induced Curling of Concrete Roadbed along High-Speed Railway: In situ Experiment and Numerical Simulation","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Curling; Geotechnical engineering; Environmental science; Engineering; Structural engineering; Mechanical engineering","score_opus":0.008023657691169153,"score_gpt":0.2137402184752827,"score_spread":0.20571656078411354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009959647","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":[0.9516007,0.0008399712,0.0470173,0.000040188246,0.00031699875,0.00009298492,0.0000037539162,0.00005420058,0.000033945915],"genre_scores_gemma":[0.99665666,0.000050348764,0.0030965777,0.000006829713,0.00013806939,0.0000011344453,0.000003654187,0.000045900026,8.2485514e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986275,0.000017053586,0.0007815751,0.00011335731,0.00026978747,0.00019074563],"domain_scores_gemma":[0.99936944,0.00012959013,0.0001650969,0.00009859549,0.00009907638,0.00013820312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020886814,0.00020212798,0.0005157201,0.00022053026,0.000011040211,0.000017810042,0.00010873079,0.00012053865,0.000004633717],"category_scores_gemma":[0.00017412679,0.00021573404,0.00008669482,0.00032065282,0.000011962347,0.00023815637,0.000019681744,0.00034971355,3.141285e-7],"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":[0.000015159732,0.0000030299443,0.00013153856,0.0001316517,0.000031831685,0.000006656277,0.0006691218,0.5492975,0.44955868,0.000034133544,0.0000031217153,0.000117567295],"study_design_scores_gemma":[0.0008413647,0.000117301504,0.0024632209,0.0003093081,0.000021594004,0.0000115924595,0.00009182455,0.83500016,0.16094755,0.0000054192187,0.000021666412,0.00016899579],"about_ca_topic_score_codex":0.000005614691,"about_ca_topic_score_gemma":0.0000019660831,"teacher_disagreement_score":0.2886111,"about_ca_system_score_codex":0.00007183214,"about_ca_system_score_gemma":0.00002331534,"threshold_uncertainty_score":0.87973785},"labels":[],"label_agreement":null},{"id":"W3083062514","doi":"10.1007/s12205-020-0034-1","title":"Numerical Investigation of the Influence of Rock Characteristics on the Soil-Rock Mixture (SRM) Slopes Stability","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Geology; Geotechnical engineering; Slope stability analysis; Slope stability probability classification; Slope stability; Stability (learning theory); Friction angle; Computer simulation; Mechanics","score_opus":0.007513902079620295,"score_gpt":0.1737274520948848,"score_spread":0.1662135500152645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083062514","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":[0.99670595,0.000033975713,0.0015547374,0.0014554748,0.00008802815,0.00006281561,0.0000039310025,0.0000051231686,0.00008998421],"genre_scores_gemma":[0.99964637,0.000033066004,0.000082467195,0.00017174511,0.00005293842,5.132924e-7,2.1257021e-7,0.000007984753,0.000004709814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9990353,0.000040039457,0.0003786642,0.000075390315,0.00036380152,0.00010679665],"domain_scores_gemma":[0.99933964,0.00010712943,0.00031130807,0.00013145588,0.000031364594,0.00007909426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023436238,0.00009322207,0.00018004402,0.000011977763,0.000037826805,0.000009312483,0.00029906345,0.000056959485,0.00012742823],"category_scores_gemma":[0.00037648287,0.000047570826,0.00009349624,0.0002220031,0.00003282873,0.0000997292,0.00007041815,0.0003718363,0.0000044618346],"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":[0.000025239595,0.000016189351,0.033388652,0.000047113324,0.0000227587,0.0000018013664,0.0010548802,0.86462116,0.10048018,0.000023868362,0.00021635804,0.000101812606],"study_design_scores_gemma":[0.0003326141,0.00029638392,0.83010095,0.00039905167,0.000068839174,0.0000280785,0.000088724766,0.08375369,0.08260362,0.000104883475,0.002036246,0.00018693173],"about_ca_topic_score_codex":0.000007666253,"about_ca_topic_score_gemma":0.000002463247,"teacher_disagreement_score":0.7967123,"about_ca_system_score_codex":0.000041433785,"about_ca_system_score_gemma":0.000020961754,"threshold_uncertainty_score":0.1939882},"labels":[],"label_agreement":null},{"id":"W3091840561","doi":"10.1007/s12205-020-1696-4","title":"A Portable Bender Element-Double Cone Penetration Testing Equipment for Measuring Stiffness and Shear Strength of In-Situ Soft Soil Deposits","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":15,"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":"Penetration (warfare); Cone penetration test; Stiffness; Geotechnical engineering; Shear (geology); Penetration test; Penetration depth; In situ; Materials science; Direct shear test; Composite material; Geology; Structural engineering; Engineering; Optics; Physics; Subgrade","score_opus":0.022000615539678678,"score_gpt":0.20929232384550772,"score_spread":0.18729170830582903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091840561","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":[0.7300263,0.0015771174,0.26757154,0.00006668513,0.00023178347,0.00019712209,0.0000036379597,0.00011011,0.0002157],"genre_scores_gemma":[0.9936492,0.000042403644,0.0061128098,0.000008622941,0.00012944151,0.000007200609,0.0000021003093,0.000044779918,0.0000034356606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861276,0.000005875154,0.0006672121,0.00013664171,0.00026652237,0.00031101008],"domain_scores_gemma":[0.999387,0.00013267591,0.000122907,0.00008599841,0.00010986246,0.00016155234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002193779,0.00021218306,0.00040847558,0.00016491122,0.000028877053,0.00004443553,0.00013574798,0.00008830014,0.0000038525773],"category_scores_gemma":[0.00016753998,0.00022106511,0.0000705031,0.00023640062,0.00001056066,0.0002342486,0.00002860673,0.00031241035,1.2416194e-7],"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":[0.000028972629,0.0000127440435,0.00020656985,0.0006054172,0.00006239886,0.000007630418,0.00014872073,0.8026397,0.19462058,0.00013619047,0.000019774567,0.0015112971],"study_design_scores_gemma":[0.0036251533,0.00028461157,0.015306052,0.0008072846,0.00011241505,0.000103943355,0.00015522314,0.8965352,0.08207751,0.000113493654,0.00035352976,0.0005255455],"about_ca_topic_score_codex":0.000008776504,"about_ca_topic_score_gemma":0.00006537194,"teacher_disagreement_score":0.2636229,"about_ca_system_score_codex":0.00006889044,"about_ca_system_score_gemma":0.00003477025,"threshold_uncertainty_score":0.90147734},"labels":[],"label_agreement":null},{"id":"W3111706014","doi":"10.1007/s12205-020-2044-4","title":"Four-Stage Framework for Implementing a Chatbot System in Disaster Emergency Operation Data Management: A Flood Disaster Management Case Study","year":2020,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"AI in Service Interactions","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Chatbot; Workflow; Emergency management; Usability; Data management; Computer science; Management system; Process (computing); Process management; Data science; Knowledge management; Engineering; World Wide Web; Database; Operations management","score_opus":0.062105741150186515,"score_gpt":0.30867918084960055,"score_spread":0.24657343969941403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111706014","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":[0.05116622,0.000074997035,0.9463036,0.0004735112,0.000964647,0.00072574534,0.000011883314,0.000061018534,0.00021834565],"genre_scores_gemma":[0.921455,0.000012660877,0.07804178,0.000065333435,0.00031181378,0.00004695515,0.0000028224708,0.00003181284,0.000031809956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977753,0.00005133983,0.0009900253,0.0003976418,0.00039649798,0.0003891897],"domain_scores_gemma":[0.9986801,0.00007871264,0.00032486452,0.0006978776,0.0000803936,0.00013801064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007689467,0.00022505643,0.0002986526,0.00025846824,0.000105226645,0.00025604988,0.0013550079,0.000037305213,0.000036399953],"category_scores_gemma":[0.000036345733,0.00022189562,0.00008987721,0.00046784882,0.0000032023547,0.0017234314,0.0010574313,0.00030050467,0.000008635612],"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":[0.0002624509,0.0023012946,0.011127385,0.012921335,0.0048665265,0.047152173,0.16300878,0.64331263,0.0005976244,0.06918767,0.0030427885,0.04221935],"study_design_scores_gemma":[0.0014243501,0.00025317442,0.00041214246,0.00062678277,0.00016049766,0.000716343,0.03707633,0.95537966,0.000014001258,0.000048599803,0.0035294415,0.0003586657],"about_ca_topic_score_codex":0.000012314569,"about_ca_topic_score_gemma":0.00029162253,"teacher_disagreement_score":0.8702888,"about_ca_system_score_codex":0.0001151115,"about_ca_system_score_gemma":0.000011400084,"threshold_uncertainty_score":0.90486413},"labels":[],"label_agreement":null},{"id":"W3193211887","doi":"10.1007/s12205-021-2236-6","title":"Experimental Evaluation of Deteriorated CMPs Retrofitted by Different Non-invasive Approaches","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Culvert; Geotechnical engineering; Deflection (physics); Engineering; Environmental science; Structural engineering; Civil engineering; Forensic engineering","score_opus":0.030769033674163462,"score_gpt":0.22639530304378724,"score_spread":0.1956262693696238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193211887","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":[0.9843276,0.0027793813,0.011911042,0.000018742609,0.00052773044,0.00009469196,0.0000073018564,0.000038112274,0.00029535755],"genre_scores_gemma":[0.99952555,0.000044268418,0.0003061536,0.0000052647288,0.0000666692,0.000005936098,0.000008090426,0.000029931502,0.000008163954],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998593,0.000050507417,0.000554291,0.000115777715,0.0005088694,0.00017757488],"domain_scores_gemma":[0.9991767,0.00008347887,0.00012792693,0.0001891662,0.00030385196,0.00011887347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003966637,0.00018174385,0.00036930112,0.0001028518,0.00001856496,0.000026501499,0.00012373185,0.00008355956,0.00020536817],"category_scores_gemma":[0.00023217963,0.00017334559,0.00015004117,0.00021154463,0.000016063417,0.00015462593,0.00003161985,0.00023238988,0.000001311991],"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":[0.0000124956505,0.000033523134,0.00043977107,0.00009445361,0.00005083037,0.0000066109383,0.0003121148,0.06696041,0.93118334,0.0000038343824,0.0003822331,0.0005203755],"study_design_scores_gemma":[0.0007547096,0.000060092498,0.0032288507,0.0001566908,0.000056837256,0.00004806559,0.00025938198,0.25118628,0.7440563,0.000004765589,0.00004656003,0.00014147273],"about_ca_topic_score_codex":0.0000010301965,"about_ca_topic_score_gemma":0.000009092742,"teacher_disagreement_score":0.18712705,"about_ca_system_score_codex":0.0002269329,"about_ca_system_score_gemma":0.00007120588,"threshold_uncertainty_score":0.7068828},"labels":[],"label_agreement":null},{"id":"W3208281385","doi":"10.1007/s12205-021-0060-7","title":"Impact of Initial Moisture Content on the Shrinkage-Swelling Behavior of Heishan Bentonite","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geomechanica (Canada)","funders":"","keywords":"Bentonite; Shrinkage; Swelling; Wetting; Water content; Materials science; Geotechnical engineering; Moisture; Composite material; Geology","score_opus":0.02136676666457258,"score_gpt":0.24858258884173048,"score_spread":0.2272158221771579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208281385","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":[0.9948993,0.0016465976,0.0020641873,0.000028254955,0.0006198206,0.00006179418,0.00001748207,0.000029430135,0.00063318847],"genre_scores_gemma":[0.9992752,0.00022785117,0.00019954541,0.000008245238,0.00022935514,0.0000022046454,0.000002686244,0.000038879047,0.000016001028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988044,0.000021004606,0.00055865746,0.00007692252,0.00031919486,0.00021980639],"domain_scores_gemma":[0.9991264,0.00014944456,0.00015630829,0.00019502615,0.0002784139,0.00009443129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020681162,0.00019391662,0.00038034067,0.0001511957,0.00002133221,0.000025162388,0.00019783355,0.00010085171,0.00009649315],"category_scores_gemma":[0.00010605473,0.00013920489,0.00035463757,0.00027795334,0.000018507393,0.00011915615,0.000020349722,0.00058869814,0.0000012883123],"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":[0.00003075029,0.00008993739,0.0018752064,0.000106668675,0.0003712094,0.00014800066,0.00045642865,0.77512574,0.2200682,0.00010777325,0.00019342646,0.001426657],"study_design_scores_gemma":[0.0027193623,0.0009659707,0.20233351,0.0030823916,0.000575543,0.0008753556,0.00075537775,0.09889215,0.6881011,0.0000481146,0.0007887048,0.0008624237],"about_ca_topic_score_codex":0.000010427486,"about_ca_topic_score_gemma":0.000017808208,"teacher_disagreement_score":0.6762336,"about_ca_system_score_codex":0.000077904486,"about_ca_system_score_gemma":0.000051749044,"threshold_uncertainty_score":0.56766105},"labels":[],"label_agreement":null},{"id":"W3214090192","doi":"10.1007/s12205-021-1770-6","title":"A Case Study on Practical Prediction of Natural Carbonation for Concretes Containing Supplementary Cementitious Materials","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":9,"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":"Carbonation; Cementitious; Pozzolan; Fly ash; Silica fume; Portland cement; Cement; Environmental science; Ground granulated blast-furnace slag; Materials science; Geotechnical engineering; Composite material; Engineering","score_opus":0.02663056012472569,"score_gpt":0.2862838735220892,"score_spread":0.2596533133973635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214090192","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":[0.99514824,0.00014559558,0.0031323396,0.000037445345,0.0010585395,0.0002820929,0.00012211117,0.000024810854,0.000048824702],"genre_scores_gemma":[0.999007,0.000033395438,0.00056246214,0.000007952061,0.00029837518,0.000021598677,0.000033659384,0.000029809024,0.0000057842426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987079,0.000046862675,0.0006044865,0.00009733866,0.00033487927,0.00020856521],"domain_scores_gemma":[0.9992259,0.00022828761,0.00011509302,0.00010673176,0.00026463487,0.000059358954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061286177,0.00013351953,0.00030859731,0.00017120382,0.000032863853,0.000060546874,0.000061283834,0.000040590403,0.00020539567],"category_scores_gemma":[0.00017227556,0.0001355166,0.00007080957,0.00010206558,0.000007882211,0.00018146276,0.000025976386,0.00015000458,3.7987843e-7],"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":[0.0001260211,0.0000484083,0.00021517894,0.0002805752,0.0004160725,0.0013085757,0.00066351594,0.008762273,0.9876161,0.00009427176,0.00035499816,0.000113994305],"study_design_scores_gemma":[0.0049983542,0.0022146644,0.0005042113,0.00035251945,0.0003107621,0.0037335695,0.005576084,0.034699883,0.9461462,0.0000191084,0.0011525508,0.00029209926],"about_ca_topic_score_codex":0.000013491199,"about_ca_topic_score_gemma":0.000030157324,"teacher_disagreement_score":0.04146992,"about_ca_system_score_codex":0.00010709224,"about_ca_system_score_gemma":0.000053309705,"threshold_uncertainty_score":0.55262065},"labels":[],"label_agreement":null},{"id":"W3214511002","doi":"10.1007/s12205-021-0972-2","title":"SEMA: A Site Equipment Management Assistant for Construction Management","year":2021,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Usability; Interface (matter); Process (computing); Chatbot; Computer science; Engineering; Management system; Information management; Database; World Wide Web; Human–computer interaction; Operations management; Operating system","score_opus":0.005755252153903207,"score_gpt":0.19184277388290716,"score_spread":0.18608752172900395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214511002","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":[0.016466059,0.0013502963,0.96994835,0.00011515268,0.003089067,0.00018673403,0.0000089810255,0.00012259887,0.008712783],"genre_scores_gemma":[0.91733855,0.0006979981,0.08114389,0.000027543812,0.00033436168,0.000032942557,0.000008034543,0.00004650018,0.00037016417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990033,0.0000075965227,0.0004513521,0.000105070976,0.00023221728,0.0002004745],"domain_scores_gemma":[0.9995498,0.000021702923,0.000084469655,0.0001265873,0.00013996355,0.00007747706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688046,0.00015074246,0.00020032116,0.00020409928,0.000039817547,0.000065537926,0.000079395926,0.000052372816,0.00007507141],"category_scores_gemma":[0.0000079187375,0.00015558937,0.00012755727,0.00020437701,0.00001022039,0.00017977884,0.000020480084,0.00014319812,0.000004455025],"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":[0.000074273135,0.00009945934,0.00020253097,0.003175436,0.001899965,0.00042693267,0.00039919524,0.6816368,0.053984232,0.0780395,0.008733447,0.1713282],"study_design_scores_gemma":[0.0058036624,0.00026729624,0.0037836994,0.0023161722,0.001024446,0.0031980183,0.0022775603,0.16950494,0.086468995,0.0031765543,0.72076803,0.0014106359],"about_ca_topic_score_codex":1.9591805e-7,"about_ca_topic_score_gemma":0.000007582919,"teacher_disagreement_score":0.9008725,"about_ca_system_score_codex":0.00018642859,"about_ca_system_score_gemma":0.000012629411,"threshold_uncertainty_score":0.634475},"labels":[],"label_agreement":null},{"id":"W4210537281","doi":"10.1007/s12205-022-0708-y","title":"Dynamic Multi-objective Construction Site Layout Planning Based on BIM","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Plan (archaeology); Building information modeling; Particle swarm optimization; Quality (philosophy); Order (exchange); Transport engineering; Engineering; Construction management; Computer science; Construction engineering; Operations research; Systems engineering; Civil engineering; Operations management; Scheduling (production processes)","score_opus":0.0057563601497910176,"score_gpt":0.20089978128841868,"score_spread":0.19514342113862765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210537281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34193027,0.0005902111,0.65169543,0.000062000334,0.0041369577,0.00011695614,0.000026264808,0.0002653766,0.0011765505],"genre_scores_gemma":[0.994063,0.0000072300486,0.0057421327,0.000025327607,0.00009442535,0.000009077633,0.0000048220963,0.000037008092,0.000016986329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990613,0.000025893425,0.00034544436,0.00009544666,0.0002948318,0.00017707642],"domain_scores_gemma":[0.99957925,0.00006125897,0.000115034054,0.000103367965,0.00007054056,0.000070537615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020214633,0.00015933448,0.00019579768,0.00047499698,0.00010138263,0.000033033157,0.000108323096,0.000049593335,0.00015006562],"category_scores_gemma":[0.000034863187,0.00017066365,0.000115560404,0.00028532164,0.000014944059,0.0001732178,0.0000134038155,0.0006538066,0.000004078924],"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":[0.000023680272,0.000014521429,0.0006298121,0.000023284056,0.00003914636,0.000020532787,0.00020789311,0.9904004,0.0062623383,0.00016742772,0.00009454215,0.002116439],"study_design_scores_gemma":[0.0006725154,0.00011972912,0.0024368449,0.00009626971,0.000025139869,0.00035255164,0.0003695286,0.9926598,0.0008324373,0.000026689806,0.002226833,0.00018163036],"about_ca_topic_score_codex":0.0000023204093,"about_ca_topic_score_gemma":0.000009811178,"teacher_disagreement_score":0.65213275,"about_ca_system_score_codex":0.00033962502,"about_ca_system_score_gemma":0.0000379671,"threshold_uncertainty_score":0.69594616},"labels":[],"label_agreement":null},{"id":"W4220660945","doi":"10.1007/s12205-022-1723-8","title":"Experimental Study on the Deterioration Mechanism of Sandstone under the Condition of Wet-Dry Cycles","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Porosity; Microstructure; Shrinkage; Scanning electron microscope; Materials science; Water content; Aqueous solution; Compressive strength; Mineralogy; Composite material; Geotechnical engineering; Geology; Chemistry","score_opus":0.016445629818524436,"score_gpt":0.23319315584848135,"score_spread":0.21674752602995692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220660945","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":[0.92387706,0.00035809286,0.07507009,0.000036554426,0.000452683,0.00013073307,0.000004192863,0.000015625348,0.000054955817],"genre_scores_gemma":[0.99978524,0.00001449603,0.00008639416,0.000012114978,0.00005986293,0.000012705933,6.975417e-7,0.000025758667,0.0000027505919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99905825,0.00003624643,0.00038760723,0.000055267512,0.00035878734,0.00010384674],"domain_scores_gemma":[0.9995708,0.0000736252,0.000152367,0.00013800313,0.00004120491,0.000024009662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049191044,0.000104590916,0.0001788319,0.000113602284,0.00008490296,0.000011843293,0.00019010797,0.000020208525,0.00005249847],"category_scores_gemma":[0.000011203937,0.00007390558,0.00008549378,0.0001116932,0.0000051743673,0.00007920596,0.00004561812,0.0002511082,2.6689779e-7],"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":[0.000008621419,0.000052335057,0.0000019489303,0.000007702198,0.00004917761,0.000001663151,0.0011268174,0.579395,0.4175154,0.001795813,0.000020262767,0.00002524077],"study_design_scores_gemma":[0.0007325435,0.000939837,0.0003038346,0.00009593237,0.00006434477,0.000036133963,0.016375257,0.45584866,0.5248361,0.0005583767,0.00004695925,0.00016201328],"about_ca_topic_score_codex":0.000003948265,"about_ca_topic_score_gemma":0.0000042632287,"teacher_disagreement_score":0.123546354,"about_ca_system_score_codex":0.00007508783,"about_ca_system_score_gemma":0.000014234349,"threshold_uncertainty_score":0.30137822},"labels":[],"label_agreement":null},{"id":"W4220752595","doi":"10.1007/s12205-022-1047-8","title":"Characteristics of a Large-Scale Deep Foundation Pit Excavated by the Central-Island Technique in Chengdu Soft Clay","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Excavation; Geotechnical engineering; Deflection (physics); Geology; Column (typography); Foundation (evidence); Groundwater; Engineering; Structural engineering; Archaeology; Geography","score_opus":0.0028778445041398658,"score_gpt":0.17974643996851997,"score_spread":0.1768685954643801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220752595","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20343328,0.0008557808,0.794806,0.000106836684,0.0003750043,0.00016505242,0.000031028183,0.00012891272,0.00009809124],"genre_scores_gemma":[0.9992111,0.00014910902,0.0004552881,0.000011012554,0.00007622033,0.000015272153,0.0000139867325,0.00004568848,0.000022346865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848974,0.000030922125,0.00069322356,0.00010057493,0.00034207277,0.00034348792],"domain_scores_gemma":[0.9994164,0.00009158147,0.00016026106,0.00019184838,0.000060328217,0.000079581936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068871374,0.00018499566,0.00039452588,0.00027857028,0.00004897843,0.0000235097,0.0003289644,0.00007532229,0.0001333949],"category_scores_gemma":[0.000101615406,0.00016702797,0.0001507839,0.00062767847,0.000013657758,0.00011427236,0.000055660013,0.00077648216,9.0347396e-7],"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":[0.00000823588,0.0000620639,0.00039192068,0.00009914207,0.00006351766,0.000011348541,0.00030965457,0.9484776,0.04961043,0.000017101855,0.0002659281,0.00068304176],"study_design_scores_gemma":[0.00063538627,0.000085570195,0.0034408108,0.00013423822,0.00007642244,0.000107738146,0.00011128919,0.97727466,0.0066992473,0.000030167937,0.01112138,0.00028307564],"about_ca_topic_score_codex":0.000007992269,"about_ca_topic_score_gemma":0.000017992801,"teacher_disagreement_score":0.7957778,"about_ca_system_score_codex":0.0001732039,"about_ca_system_score_gemma":0.0000209792,"threshold_uncertainty_score":0.6811203},"labels":[],"label_agreement":null},{"id":"W4311046732","doi":"10.1007/s12205-022-0647-7","title":"Experimental and Numerical Study on Response Characteristics of Airport Pavement Subjected to Wetting in Silt Subgrade","year":2022,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Geotechnical engineering; Wetting; Subgrade; Silt; Materials science; Stress (linguistics); Modulus; Shear stress; Geology; Composite material","score_opus":0.012884886992995661,"score_gpt":0.2514437563097563,"score_spread":0.23855886931676062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311046732","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":[0.9958186,0.00011398876,0.0033434029,0.00003502477,0.0003697927,0.00026757087,0.0000040216382,0.000030424633,0.00001715136],"genre_scores_gemma":[0.99957585,0.0000026851374,0.0002703003,0.000017215381,0.00006345866,0.00002792265,0.0000014949642,0.000035573612,0.0000054944917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99833894,0.000070567796,0.0007011451,0.00010955067,0.0005651218,0.00021468374],"domain_scores_gemma":[0.99949735,0.000099658784,0.00015018662,0.00012614479,0.00003698779,0.000089677815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012651166,0.00015920597,0.00031201096,0.00047657287,0.00003855916,0.000013642792,0.00013988583,0.0000220687,0.000054224492],"category_scores_gemma":[0.00009403838,0.00017787084,0.000041226067,0.0003391995,0.000005295574,0.00012759323,0.000069169546,0.00034032465,8.972918e-7],"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":[0.00030024795,0.0003095079,0.03411232,0.00004147558,0.000056775505,0.000070567556,0.0048105093,0.4920437,0.4678231,0.0000050096864,0.00005231176,0.00037449112],"study_design_scores_gemma":[0.0019883611,0.0029708168,0.79340804,0.00017341773,0.00003218655,0.000056412093,0.0029688792,0.11638947,0.0813892,0.0000013667537,0.00028434393,0.00033749535],"about_ca_topic_score_codex":0.0000024227816,"about_ca_topic_score_gemma":0.00000119963,"teacher_disagreement_score":0.75929576,"about_ca_system_score_codex":0.0003783693,"about_ca_system_score_gemma":0.000029503644,"threshold_uncertainty_score":0.72533625},"labels":[],"label_agreement":null},{"id":"W4313656485","doi":"10.1007/s12205-023-0770-0","title":"Soil Interaction of H-shaped Steel-RC Stepped Pile of Integral Abutment Bridge: Experimental Evaluation","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Pile; Structural engineering; Stiffness; Geotechnical engineering; Deformation (meteorology); Materials science; Bearing capacity; Reciprocating motion; Abutment; Displacement (psychology); Bearing (navigation); Engineering; Composite material","score_opus":0.018631132651440428,"score_gpt":0.26233672379935247,"score_spread":0.24370559114791204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313656485","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":[0.9689231,0.0009030358,0.027992835,0.00002091002,0.0014846654,0.0001513564,0.0000081660555,0.00017847148,0.000337481],"genre_scores_gemma":[0.99924767,0.000076000426,0.00045094974,0.0000023308019,0.00014467291,0.000008373061,0.0000074488175,0.00004548508,0.000017064725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982924,0.00002300797,0.0007707786,0.00010519167,0.0005654176,0.00024321077],"domain_scores_gemma":[0.9992498,0.000111956775,0.00019388087,0.00017453465,0.00017654148,0.00009327142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050548767,0.00021265015,0.00041788246,0.00045551918,0.000018163782,0.000018690924,0.00019666518,0.00010693889,0.00007687733],"category_scores_gemma":[0.00012805918,0.00020565923,0.0002013132,0.0003927869,0.00001857251,0.00022938852,0.000033096818,0.00036458703,0.0000029239807],"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":[0.00002005181,0.00002350762,0.000014623491,0.0001285673,0.00010032249,0.0000034130917,0.00029063254,0.7285638,0.26964116,0.00006880708,0.00026260424,0.0008825269],"study_design_scores_gemma":[0.0010253327,0.00026833426,0.0061632665,0.0004542846,0.00007793695,0.0000662921,0.00031810845,0.8828994,0.108031526,0.000071462426,0.0003995919,0.0002244614],"about_ca_topic_score_codex":0.000013112964,"about_ca_topic_score_gemma":0.0000125655115,"teacher_disagreement_score":0.16160962,"about_ca_system_score_codex":0.00019638312,"about_ca_system_score_gemma":0.00003423456,"threshold_uncertainty_score":0.83865404},"labels":[],"label_agreement":null},{"id":"W4366524531","doi":"10.1007/s12205-023-1102-0","title":"Effects of Elevated Temperature and Activation Solution Content on Microstructural and Mechanical Properties of Fly Ash-based Geopolymer","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Geopolymer; Sodium silicate; Fly ash; Materials science; Thermogravimetric analysis; Sodium hydroxide; Residual strength; Compressive strength; Composite material; Thermal stability; Chemical engineering","score_opus":0.013225393130605355,"score_gpt":0.20219501805867715,"score_spread":0.1889696249280718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366524531","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":[0.99890566,0.000515293,0.0002555072,0.000037008613,0.00014751324,0.000107524065,0.0000024376786,0.000026379252,0.0000026736352],"genre_scores_gemma":[0.9997509,0.0001240053,0.000051064537,0.00000414794,0.00004314049,0.0000026717978,0.0000016215778,0.0000161312,0.00000632789],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934375,0.000017881952,0.00025485968,0.00005719629,0.00019083299,0.00013545703],"domain_scores_gemma":[0.9997068,0.00006154949,0.000058686514,0.000049193888,0.00007830127,0.000045475535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016595334,0.00009996016,0.00021731017,0.00018665734,0.00001657549,0.00001875119,0.000048362173,0.00006191534,0.000005005757],"category_scores_gemma":[0.00008357983,0.000079870144,0.00003412662,0.00012478624,0.000016557524,0.000099375604,0.000017157357,0.00014088946,2.3275972e-7],"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":[0.00008742551,0.00000422461,0.000023654868,0.0008513072,0.000053922864,0.0000031201014,0.00007741833,0.005113075,0.9934624,0.000016860946,0.00003097049,0.00027566505],"study_design_scores_gemma":[0.0006726447,0.00017098826,0.0028087324,0.00065298285,0.000017001359,0.000006997231,0.00002231566,0.02619714,0.9693655,0.0000028480129,0.000012317173,0.00007057466],"about_ca_topic_score_codex":0.0000048524716,"about_ca_topic_score_gemma":0.0000015743981,"teacher_disagreement_score":0.024096897,"about_ca_system_score_codex":0.000023992105,"about_ca_system_score_gemma":0.000014013709,"threshold_uncertainty_score":0.325701},"labels":[],"label_agreement":null},{"id":"W4381855565","doi":"10.1007/s12205-023-0701-0","title":"A Decision Approach for Analysing the Role of Modern Methods, Project Management and Integrated Approaches in Environmentally Sustainable Construction Projects","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Snowball sampling; Likert scale; Project management; Structural equation modeling; Questionnaire; Nonprobability sampling; Construction management; Sustainability; Pre-construction services; Knowledge management; Engineering; Process management; Project management triangle; Computer science; Management science; Mathematics; Systems engineering; Civil engineering","score_opus":0.019099423493305588,"score_gpt":0.24945323903804506,"score_spread":0.23035381554473947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381855565","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":[0.085579515,0.0020360406,0.9113485,0.000006320103,0.000058743084,0.00059732405,0.0000012305312,0.00004774268,0.00032456906],"genre_scores_gemma":[0.8111533,0.00020795266,0.18849793,9.717115e-7,0.000024344126,0.000047577123,0.0000026789153,0.000030127734,0.000035141282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989218,0.000041015785,0.00042351044,0.00012909253,0.00019556131,0.00028898614],"domain_scores_gemma":[0.9995403,0.00015913624,0.00010742156,0.000120586286,0.000038803537,0.000033718738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013409241,0.0001595353,0.0002875333,0.00070351374,0.000041657655,0.000050090748,0.00014715592,0.00005464745,8.469885e-7],"category_scores_gemma":[0.000059917904,0.0001238518,0.00008017817,0.0006944643,0.000025040921,0.00019549619,0.000051283147,0.00019338928,4.2069576e-8],"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":[0.000037262867,0.00002677581,0.00030009603,0.00053805835,0.0001584032,0.000010576159,0.0008281433,0.9271209,0.006136013,0.0008368216,0.000036993995,0.06396991],"study_design_scores_gemma":[0.0005213765,0.000050521765,0.000554458,0.00013491392,0.00007268607,0.00003851919,0.014822758,0.97815573,0.0033015797,0.0015055242,0.00071345974,0.00012846613],"about_ca_topic_score_codex":0.000005201339,"about_ca_topic_score_gemma":0.0000016618992,"teacher_disagreement_score":0.7255738,"about_ca_system_score_codex":0.0002026742,"about_ca_system_score_gemma":0.000033574666,"threshold_uncertainty_score":0.505053},"labels":[],"label_agreement":null},{"id":"W4389095366","doi":"10.1007/s12205-023-0355-y","title":"Deep Neural Network-based Inverse Analysis with Application to a Rockfill Dam","year":2023,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Dam Engineering and Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Particle swarm optimization; Finite element method; Mathematical optimization; Computer science; Artificial neural network; Computation; Differential evolution; Minification; Inverse problem; Algorithm; Engineering; Machine learning; Mathematics; Structural engineering","score_opus":0.004473933977080738,"score_gpt":0.18547917806142922,"score_spread":0.18100524408434848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389095366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07763083,0.0001358471,0.9208804,0.000102081925,0.00036481486,0.000106344756,0.0000036808958,0.0005479306,0.00022809232],"genre_scores_gemma":[0.9933722,0.000013343439,0.006163402,0.00003734475,0.00029931052,0.000014705105,0.000011013202,0.00007075949,0.000017924545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986851,0.000010131022,0.0004111061,0.00013857817,0.00033049958,0.00042459174],"domain_scores_gemma":[0.9992216,0.000087981025,0.00006726973,0.00026242397,0.00009768896,0.0002630118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198894,0.00023393385,0.0003965758,0.0007616696,0.00004308115,0.000053173415,0.00024700872,0.00006987856,0.000016376198],"category_scores_gemma":[0.00004274578,0.00021841229,0.00017971358,0.002815884,0.000008414963,0.0001547353,0.00002131709,0.0003101876,0.00002410022],"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":[0.000015883012,0.000006828805,0.00074441195,0.000059219637,0.00032520763,0.000035540234,0.00009508011,0.9954255,0.0011181352,0.000020263606,0.0009749674,0.0011789304],"study_design_scores_gemma":[0.0003098312,0.000078702884,0.008054475,0.000053775846,0.000215678,0.000019298615,0.0000151278155,0.9863074,0.0001532091,0.0000042618226,0.004539554,0.00024867634],"about_ca_topic_score_codex":0.000004310787,"about_ca_topic_score_gemma":0.00017845792,"teacher_disagreement_score":0.9157414,"about_ca_system_score_codex":0.00010599133,"about_ca_system_score_gemma":0.00001868596,"threshold_uncertainty_score":0.89065945},"labels":[],"label_agreement":null},{"id":"W4391261053","doi":"10.1007/s12205-024-1587-1","title":"A Class Distance Penalty Deep Learning Method for Post-disaster Building Damage Assessment","year":2024,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"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":"Class (philosophy); Computer science; Engineering; Environmental science; Artificial intelligence","score_opus":0.004413261837910355,"score_gpt":0.26112926861764046,"score_spread":0.2567160067797301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391261053","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":[0.025094872,0.0019118733,0.96888375,0.00007232215,0.003009471,0.00011903091,0.0000054633624,0.00021100123,0.0006922283],"genre_scores_gemma":[0.8751865,0.0000751001,0.123370536,0.000015168973,0.0011709579,0.000011818545,0.0000024704207,0.00010246353,0.0000649828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855757,0.000020041349,0.0005200678,0.00016404677,0.00027753355,0.00046077018],"domain_scores_gemma":[0.9992211,0.00027969445,0.00008044382,0.00013085491,0.00015827896,0.0001296305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069171423,0.00026986375,0.00036618675,0.00029251483,0.00006524594,0.00020015593,0.00022369921,0.00009358625,0.000027746151],"category_scores_gemma":[0.0001220938,0.00024432765,0.00024864,0.00022103488,0.000009911731,0.00048833806,0.00003349097,0.0008535397,0.0000016061874],"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":[0.000012203856,0.0000046390255,0.0000598451,0.0006990663,0.00017318287,0.00007993127,0.00059505727,0.86556196,0.120418385,0.0019474393,0.000267352,0.010180958],"study_design_scores_gemma":[0.0003542027,0.00010996839,0.0006465403,0.0010384328,0.00009238163,0.00021308563,0.00028241574,0.925338,0.004662938,0.00019622719,0.06673393,0.00033192293],"about_ca_topic_score_codex":0.0000015088269,"about_ca_topic_score_gemma":0.000012005049,"teacher_disagreement_score":0.85009164,"about_ca_system_score_codex":0.00031868342,"about_ca_system_score_gemma":0.000037339887,"threshold_uncertainty_score":0.9963392},"labels":[],"label_agreement":null},{"id":"W4400514313","doi":"10.1007/s12205-024-1521-6","title":"Design Optimization of Concrete Gravity Dam Subjected to Near-field Earthquake Based on Novel Lean-bubble Sort Approach","year":2024,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","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":"Université de Moncton; Université du Québec à Montréal","funders":"","keywords":"Gravity dam; sort; Bubble; Geotechnical engineering; Field (mathematics); Geology; Structural engineering; Engineering; Computer science; Finite element method; Mechanics; Mathematics; Physics","score_opus":0.008821234783110338,"score_gpt":0.20219258287994896,"score_spread":0.19337134809683862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400514313","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":[0.03807473,0.00017383978,0.95959145,0.000024306708,0.0012182329,0.00013820612,0.000004646703,0.00013690504,0.0006376649],"genre_scores_gemma":[0.9094028,0.000012404802,0.09019312,0.000022945525,0.00028822778,0.0000044052435,0.0000024222297,0.000060372437,0.00001331557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988024,0.000010428584,0.00044472553,0.00013392653,0.00031804017,0.00029046705],"domain_scores_gemma":[0.9993555,0.00016131435,0.000060265756,0.00016867567,0.00013202551,0.00012223369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040799822,0.00021699746,0.0003247226,0.00031514425,0.000030997693,0.00007532553,0.00017641066,0.000109300905,0.000023091965],"category_scores_gemma":[0.00014346499,0.00020512454,0.00012211256,0.00042984547,0.0000109347375,0.0001809219,0.000014827199,0.00046159662,0.0000017901734],"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":[0.00003712252,0.0000050960734,0.00002701567,0.00021529701,0.000056561617,0.000015095229,0.00020782284,0.9286204,0.069877006,0.000053052594,0.0004898823,0.00039567298],"study_design_scores_gemma":[0.00031118712,0.00019561469,0.00022934958,0.00057525415,0.000038055914,0.000037262143,0.000022249858,0.9389488,0.058935225,0.0000060666825,0.0005042833,0.00019666663],"about_ca_topic_score_codex":0.0000036653994,"about_ca_topic_score_gemma":0.0000010130829,"teacher_disagreement_score":0.87132806,"about_ca_system_score_codex":0.00009767371,"about_ca_system_score_gemma":0.000071910945,"threshold_uncertainty_score":0.8364736},"labels":[],"label_agreement":null},{"id":"W4406125533","doi":"10.1016/j.kscej.2024.100028","title":"Analysis of slope stability based on layered infiltration theory under wet-dry cycle conditions","year":2025,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":4,"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":"Ontario Ministry of Transportation; National Key Research and Development Program of China; Guangxi Key Research and Development Program; Scientific Research Foundation of Hunan Provincial Education Department; National Natural Science Foundation of China; Education Department of Hunan Province","keywords":"Infiltration (HVAC); Geotechnical engineering; Stability (learning theory); Materials science; Environmental science; Geology; Composite material; Computer science","score_opus":0.007127403104097276,"score_gpt":0.21539731586214805,"score_spread":0.2082699127580508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406125533","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":[0.6688724,0.00031755242,0.32378817,0.00009089086,0.00061232346,0.00007957628,0.000034673307,0.00010961021,0.0060948096],"genre_scores_gemma":[0.99951756,0.000023315728,0.0003362618,0.00003929707,0.000040924464,0.000002671944,0.000010751674,0.000015264533,0.000013958945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990454,0.00003754195,0.0004788516,0.00008477505,0.0002010604,0.00015242465],"domain_scores_gemma":[0.9991594,0.0003443151,0.00008881982,0.00020254414,0.0001433275,0.00006157285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003955979,0.00014265663,0.00034532533,0.0007491829,0.000028853756,0.000023088282,0.00013169773,0.00009254316,0.00020425562],"category_scores_gemma":[0.00013260107,0.00013530221,0.0002201356,0.0010716091,0.000018677269,0.00015387766,0.000007207442,0.00030625917,0.0000012476871],"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":[0.00002584883,0.000040915325,0.0013437674,0.0000696689,0.00065379846,0.0000026669936,0.00006929562,0.98073983,0.015654974,0.0009527059,0.00008381582,0.00036272264],"study_design_scores_gemma":[0.0004707594,0.00004345236,0.07568754,0.00017392459,0.00049889483,0.0000011128693,0.000106822394,0.9095708,0.012855802,0.00031838968,0.00012973911,0.00014275126],"about_ca_topic_score_codex":0.0000028928855,"about_ca_topic_score_gemma":0.00004678794,"teacher_disagreement_score":0.33064514,"about_ca_system_score_codex":0.00011073771,"about_ca_system_score_gemma":0.000053715554,"threshold_uncertainty_score":0.55174637},"labels":[],"label_agreement":null},{"id":"W4406125660","doi":"10.1016/j.kscej.2024.100076","title":"Evaluating computer vision approaches for counting exposed aggregate number on pavement surface","year":2025,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","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":"Ministry of Transportation of Ontario","funders":"National Research Foundation of Korea; Ministry of Education","keywords":"Aggregate (composite); Surface (topology); Environmental science; Statistics; Computer science; Mathematics; Materials science; Geometry; Nanotechnology","score_opus":0.022425421305478938,"score_gpt":0.26849380194234335,"score_spread":0.2460683806368644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406125660","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":[0.5455684,0.00030772536,0.44999802,0.00005135178,0.0030403205,0.00020418399,0.0000019288966,0.00010092367,0.0007271289],"genre_scores_gemma":[0.9673815,0.000027639537,0.03181314,0.000030708197,0.0006507389,0.0000054474426,0.0000015303814,0.000045321365,0.00004401518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868554,0.0000131830575,0.0005317323,0.00013605082,0.00027986086,0.00035361748],"domain_scores_gemma":[0.9993328,0.0001836094,0.00013281027,0.00015029758,0.0001414439,0.00005903059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071122526,0.00023149414,0.00032586567,0.00013422273,0.00007017318,0.000083924984,0.0001848051,0.00008243096,0.00000893782],"category_scores_gemma":[0.00006452059,0.0002127847,0.00015166194,0.00016727009,0.000009165044,0.0001915721,0.00003122834,0.00032857008,0.000002189907],"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":[0.000022857073,0.000011879878,0.00013248871,0.00029071703,0.00011144903,0.000006263488,0.00016011803,0.9615537,0.023319881,0.00037834333,0.0007661877,0.013246103],"study_design_scores_gemma":[0.001090613,0.00016385641,0.0008518425,0.0017775573,0.000054249056,0.000024107729,0.000067613524,0.95723855,0.03503461,0.00014603566,0.003295735,0.0002552319],"about_ca_topic_score_codex":7.67811e-7,"about_ca_topic_score_gemma":0.0000019686704,"teacher_disagreement_score":0.42181304,"about_ca_system_score_codex":0.00020748343,"about_ca_system_score_gemma":0.00002854381,"threshold_uncertainty_score":0.86771077},"labels":[],"label_agreement":null},{"id":"W4408554236","doi":"10.1016/j.kscej.2025.100234","title":"Analysis of convergence deformation remediation of shield tunnels by lateral grouting","year":2025,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Geotechnical Engineering and Analysis","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":"Ministry of Education and Child Care","funders":"China Railway","keywords":"Shield; Deformation (meteorology); Convergence (economics); Geology; Geotechnical engineering; Structural engineering; Engineering; Mining engineering; Petrology","score_opus":0.00318991880770073,"score_gpt":0.1877647009261185,"score_spread":0.18457478211841777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408554236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42684278,0.0006942749,0.57195383,0.000024891875,0.00026414398,0.000030780022,0.000007802347,0.0000534441,0.00012806125],"genre_scores_gemma":[0.9991056,0.00017858646,0.00064954755,0.0000044634226,0.000026182568,0.0000010647877,0.000006700098,0.000011424281,0.000016466265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986573,0.00001037806,0.00086324866,0.000066985376,0.0002410988,0.00016098087],"domain_scores_gemma":[0.9993682,0.000092936156,0.0002097236,0.00013959216,0.00013619418,0.000053339845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042098603,0.0001326156,0.00049814,0.0008463358,0.000012541068,0.000010633801,0.00018120083,0.000094141455,0.000025667483],"category_scores_gemma":[0.00018207784,0.00013176784,0.0002787454,0.0014336762,0.000011569576,0.00020442989,0.000017877735,0.00022436323,4.1466487e-7],"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":[0.0000034175503,0.000013567142,0.0011909661,0.00020030134,0.0007399774,7.922373e-7,0.00012446393,0.9412131,0.05593638,0.00009414914,0.00008866851,0.00039425003],"study_design_scores_gemma":[0.00020039003,0.000022278897,0.004446626,0.00021874205,0.00062578055,0.0000017770285,0.00003378248,0.96848637,0.02572939,0.000014630902,0.00011484269,0.000105384715],"about_ca_topic_score_codex":0.000011225686,"about_ca_topic_score_gemma":0.000005701091,"teacher_disagreement_score":0.57226276,"about_ca_system_score_codex":0.00005889703,"about_ca_system_score_gemma":0.000013361497,"threshold_uncertainty_score":0.5373336},"labels":[],"label_agreement":null},{"id":"W820816132","doi":"10.1007/s12205-015-0236-0","title":"Modeling snow and cold effects for classified highway traffic volumes","year":2015,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truck; Snow; Traffic volume; Environmental science; Cold weather; Transport engineering; Range (aeronautics); Meteorology; Volume (thermodynamics); Engineering; Geography; Automotive engineering","score_opus":0.015104120691232846,"score_gpt":0.20892675061654603,"score_spread":0.19382262992531318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W820816132","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":[0.8062115,0.0033166506,0.18911958,0.0000581507,0.0009249315,0.00011159836,0.0000026164118,0.00011506568,0.00013991912],"genre_scores_gemma":[0.99558324,0.00016224054,0.0037888673,0.000008225881,0.00035415744,0.000005766668,5.486129e-7,0.000042419473,0.000054558765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992417,0.0000057450266,0.0002924523,0.000073253206,0.00015564552,0.00023118171],"domain_scores_gemma":[0.9994493,0.00009434296,0.000037857368,0.000087152555,0.0000946273,0.00023673687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031716985,0.00014843387,0.00025730516,0.00013930346,0.000032001375,0.000043068925,0.00010618802,0.0000808847,0.0000026885398],"category_scores_gemma":[0.00010231002,0.00013595432,0.000067522495,0.00010162217,0.000006987016,0.00024785916,0.000012555329,0.00022729812,0.0000011324619],"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":[0.000012489215,0.000007690332,0.000020712123,0.0002400154,0.000036380818,0.000006381182,0.00019471327,0.9861318,0.009098063,0.0000602379,0.0012730762,0.0029184355],"study_design_scores_gemma":[0.00085702987,0.00010440301,0.00006245337,0.00032073414,0.000024216857,0.000058033293,0.000030207137,0.9883262,0.0025585594,0.00001235678,0.0074848193,0.00016098222],"about_ca_topic_score_codex":6.108198e-7,"about_ca_topic_score_gemma":0.000005998372,"teacher_disagreement_score":0.18937172,"about_ca_system_score_codex":0.000061882194,"about_ca_system_score_gemma":0.000029723675,"threshold_uncertainty_score":0.5544056},"labels":[],"label_agreement":null}]}