{"meta":{"query_hash":"1447832a505a","filters":{"venue":"Structure and Infrastructure 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/1447832a505a","api":"https://metacan.xera.ac/api/v1/cohort?venue=Structure+and+Infrastructure+Engineering"},"results":[{"id":"W1967023995","doi":"10.1080/15732479.2015.1020495","title":"Snow avalanches in western Canada: investigating change in occurrence rates and implications for risk assessment and mitigation","year":2015,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Snow; Climate change; Vulnerability (computing); Environmental science; Risk assessment; Natural hazard; Historical record; Physical geography; Environmental resource management; Geography; Meteorology; Computer science; Geology; History","score_opus":0.020831805502943952,"score_gpt":0.24576749999130143,"score_spread":0.22493569448835748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967023995","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":[0.9970502,0.0014572849,0.00026827838,0.00042789432,0.0001389707,0.0002216792,0.00042075422,0.00000929587,0.0000056420577],"genre_scores_gemma":[0.9940277,0.00015172671,0.005490304,0.000117956166,0.00007358311,0.000008712151,0.0001266296,0.0000027276078,7.112941e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999422,0.000012211846,0.00015440593,0.0001840339,0.000059631242,0.0001677299],"domain_scores_gemma":[0.9996349,0.00013441526,0.000051776613,0.000058070455,0.000027168082,0.000093645845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008774898,0.000121479796,0.00014679869,0.00003729778,0.000072967574,0.000044701996,0.00004089561,0.00004659749,0.00000466539],"category_scores_gemma":[0.0001113796,0.000105310515,0.0000057143907,0.00015013453,0.00003198162,0.00018218026,0.000014854536,0.00013823884,1.8825112e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012338354,3.3683716e-7,0.9791606,0.000026692727,0.0000042115744,2.68004e-7,0.0007141924,0.004635753,0.000019579084,0.000049550275,0.000055028097,0.015332559],"study_design_scores_gemma":[0.0002586485,0.00002129532,0.97038084,0.00003102722,0.000006443346,0.0000051553125,0.00024970426,0.027430706,0.00000871824,0.0010145683,0.00047698943,0.00011590336],"about_ca_topic_score_codex":0.045783617,"about_ca_topic_score_gemma":0.38083792,"teacher_disagreement_score":0.3350543,"about_ca_system_score_codex":0.000017891824,"about_ca_system_score_gemma":0.000069636255,"threshold_uncertainty_score":0.9605706},"labels":[],"label_agreement":null},{"id":"W1968237967","doi":"10.1080/15732479.2014.887122","title":"Benefits of using basic, imprecise or uncertain data for elaborating sewer inspection programmes","year":2014,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"Agence Nationale de la Recherche","keywords":"Pascal (unit); Computer science; Order (exchange); Asset (computer security); Risk analysis (engineering); Key (lock); Operations research; Data mining; Reliability engineering; Engineering; Business; Computer security","score_opus":0.011628306761513017,"score_gpt":0.2203498512557694,"score_spread":0.20872154449425637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968237967","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":[0.6075647,0.0005409113,0.38929474,0.000008407672,0.0012936157,0.0005200938,0.00036510688,0.00035983717,0.000052573072],"genre_scores_gemma":[0.93133134,0.000017785003,0.067879654,0.0000064302985,0.0005313856,0.0000069931884,0.00016292089,0.000057175406,0.0000063076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990296,0.00000956224,0.00033114705,0.00026223424,0.000115951894,0.00025152697],"domain_scores_gemma":[0.9993715,0.0000462669,0.00007292132,0.00035722228,0.00008637518,0.00006569432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111095236,0.00024694018,0.00029870882,0.00012681454,0.00007216425,0.00006736411,0.00017659226,0.00016301329,0.000008481535],"category_scores_gemma":[0.00009876657,0.00019892809,0.000025879179,0.000243903,0.000018676297,0.0003716937,0.000059453483,0.00014234737,5.9254862e-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":[0.000012310299,0.0000012577267,0.00053713244,0.00047882952,0.00004404581,1.4695648e-7,0.00025963708,0.98336065,0.004906157,0.00025202383,0.00043668688,0.009711146],"study_design_scores_gemma":[0.00043873754,0.00005017052,0.0023324944,0.00012266263,0.000044151035,0.00002453752,0.00005784026,0.98633206,0.0058962805,0.00006108373,0.0043715145,0.00026849395],"about_ca_topic_score_codex":0.000015730177,"about_ca_topic_score_gemma":0.00006276174,"teacher_disagreement_score":0.32376665,"about_ca_system_score_codex":0.00003233753,"about_ca_system_score_gemma":0.000015723419,"threshold_uncertainty_score":0.8112052},"labels":[],"label_agreement":null},{"id":"W1970402377","doi":"10.1080/15732470903419669","title":"Effectiveness of using tuned-mass dampers in reducing seismic risk","year":2009,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tuned mass damper; Installation; Parametric statistics; Probabilistic logic; Seismic risk; Structural engineering; Dissipation; Engineering; Earthquake engineering; Seismic analysis; Damper; Reliability engineering; Computer science; Civil engineering; Mechanical engineering","score_opus":0.0018717450273553176,"score_gpt":0.18416441383057838,"score_spread":0.18229266880322306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970402377","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":[0.9792598,0.0007552983,0.019474227,0.000002594161,0.00023577681,0.000101120815,0.000023075821,0.00009344657,0.000054644228],"genre_scores_gemma":[0.9960125,0.00016636195,0.0036795617,0.000010686485,0.000089381494,0.0000011652567,0.000011974192,0.00002755412,7.901818e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989945,0.000021966724,0.00030663217,0.00022566295,0.00013116217,0.0003200635],"domain_scores_gemma":[0.9996113,0.000044698154,0.00005103142,0.00020114455,0.000022470635,0.00006936571],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013707983,0.0002819489,0.00041863066,0.000366611,0.000038706068,0.000022465438,0.00012365813,0.00015845383,0.000014557788],"category_scores_gemma":[0.000028028406,0.0002671592,0.00006702947,0.0005137569,0.000024905248,0.00025544528,0.000013784568,0.00041370525,1.9082552e-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":[0.0000074393693,9.910663e-7,0.0037235827,0.00015687033,0.00003538437,0.0000026718408,0.00018623202,0.73098946,0.26172763,0.000021448155,0.0000051624497,0.0031431247],"study_design_scores_gemma":[0.00043044196,0.00002742114,0.11001768,0.00026103065,0.00005442711,0.000021368704,0.00006624489,0.8177974,0.07030401,0.0006595054,0.00004801355,0.00031244403],"about_ca_topic_score_codex":0.00003351232,"about_ca_topic_score_gemma":7.238791e-7,"teacher_disagreement_score":0.19142362,"about_ca_system_score_codex":0.00008410403,"about_ca_system_score_gemma":0.0000152157545,"threshold_uncertainty_score":0.99997807},"labels":[],"label_agreement":null},{"id":"W1983371987","doi":"10.1080/15732470601012154","title":"The influence of temporal uncertainty of deterioration on life-cycle management of structures","year":2008,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University Network of Excellence in Nuclear Engineering","keywords":"Probabilistic logic; Reliability (semiconductor); Reliability engineering; Gamma process; Stochastic modelling; Process (computing); Random variable; Preventive maintenance; Stochastic process; Computer science; Product life-cycle management; Conceptual model; Risk analysis (engineering); Engineering; Econometrics; Mathematics; Statistics; Artificial intelligence; Business","score_opus":0.0024464329574657375,"score_gpt":0.17312567763192616,"score_spread":0.1706792446744604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983371987","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":[0.9966024,0.00024620662,0.0026343612,0.000008395379,0.000181127,0.00018052834,0.000028813318,0.00003796011,0.00008019183],"genre_scores_gemma":[0.9948819,0.00043757175,0.0046133935,0.000006039828,0.000027237604,0.0000035728524,0.000009622894,0.000017970457,0.0000026564126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99911374,0.00001059282,0.00039859433,0.00013085078,0.00018674886,0.00015945527],"domain_scores_gemma":[0.99946856,0.000044736058,0.00011151725,0.00024856656,0.00007994054,0.00004667732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055443776,0.00018070269,0.00024858877,0.000075937656,0.000057015422,0.000007173504,0.00014607068,0.00009931961,0.000007949726],"category_scores_gemma":[0.00003888445,0.00012986979,0.000046398425,0.00020521473,0.00013425195,0.000114905306,0.000030269492,0.00015321211,5.6404033e-8],"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":[0.000028926008,0.0000016525764,0.0008104123,0.0003501589,0.000057950663,7.5869326e-7,0.0002726928,0.9824599,0.011481881,0.0026473384,0.000026847563,0.0018615014],"study_design_scores_gemma":[0.0010255068,0.00027932588,0.749784,0.00036969298,0.00007415953,0.000030678617,0.00029410922,0.19705951,0.04333188,0.0066219675,0.0006167147,0.0005124861],"about_ca_topic_score_codex":0.000010638162,"about_ca_topic_score_gemma":0.0000022522206,"teacher_disagreement_score":0.7854004,"about_ca_system_score_codex":0.000021478792,"about_ca_system_score_gemma":0.000014487981,"threshold_uncertainty_score":0.5295936},"labels":[],"label_agreement":null},{"id":"W1986042657","doi":"10.1080/15732479.2011.602979","title":"Condition assessment for bridges: a hierarchical evidential reasoning (HER) framework","year":2013,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evidential reasoning approach; Bridge (graph theory); Credibility; Reliability (semiconductor); Discounting; Data mining; Computer science; Risk analysis (engineering); Dempster–Shafer theory; Engineering; Reliability engineering; Decision support system; Power (physics)","score_opus":0.002673389084209304,"score_gpt":0.22330532208636722,"score_spread":0.22063193300215792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986042657","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":[0.5985537,0.00044329147,0.39649978,0.00006843341,0.0028874725,0.0007153136,0.000077581215,0.0005450017,0.0002094272],"genre_scores_gemma":[0.8862091,0.000057151523,0.11162326,0.00008904748,0.0017143349,0.00011617496,0.00007392633,0.000103107326,0.0000139451995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982155,0.0000141389755,0.00040872616,0.00040965385,0.00024911892,0.0007028875],"domain_scores_gemma":[0.99917257,0.00013658102,0.000060584225,0.00029819584,0.00010416662,0.0002279178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000078524215,0.0004975848,0.00043025604,0.00019715197,0.000180399,0.00027671183,0.00021708722,0.00037381958,0.0002400902],"category_scores_gemma":[0.00011457946,0.00046020685,0.00011710636,0.00019566341,0.0000615548,0.00053298235,0.000064267086,0.00083004124,0.0000029842295],"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":[0.000056406225,0.000020127522,0.014645608,0.0024354528,0.0009004751,0.000029205388,0.002675766,0.5768327,0.2045505,0.07682113,0.0167497,0.10428288],"study_design_scores_gemma":[0.0020304604,0.00035511286,0.3618977,0.0010694797,0.00022640459,0.00035330842,0.0005115438,0.52618194,0.021560168,0.06086165,0.022383632,0.0025686002],"about_ca_topic_score_codex":0.000012246815,"about_ca_topic_score_gemma":0.0000013690719,"teacher_disagreement_score":0.3472521,"about_ca_system_score_codex":0.00015025053,"about_ca_system_score_gemma":0.000030124196,"threshold_uncertainty_score":0.99978495},"labels":[],"label_agreement":null},{"id":"W2010462364","doi":"10.1080/15732479.2012.744060","title":"Critical issues, condition assessment and monitoring of heavy movable structures: emphasis on movable bridges","year":2012,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Federal Highway Administration; Florida Department of Transportation","keywords":"Bridge (graph theory); Documentation; Structural health monitoring; Closing (real estate); Engineering; Construction engineering; Civil engineering; Computer science; Forensic engineering; Structural engineering","score_opus":0.006604368534712919,"score_gpt":0.27092187416695596,"score_spread":0.26431750563224304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010462364","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":[0.9780877,0.0031216883,0.01662119,0.000050733368,0.0013524146,0.00015650793,0.000109194356,0.0003412689,0.00015926811],"genre_scores_gemma":[0.97446066,0.00031562173,0.02452695,0.000022383389,0.0005457925,0.000008870213,0.00003752258,0.000070304966,0.000011881747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99842364,0.000020468504,0.00041371858,0.00028910828,0.00031620622,0.00053688826],"domain_scores_gemma":[0.9991988,0.00011761965,0.000051347382,0.00028412213,0.00006835808,0.00027973304],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009279088,0.00047049907,0.000515109,0.0003169639,0.00011619137,0.00009235658,0.00012269116,0.00024953252,0.00013918504],"category_scores_gemma":[0.00006456301,0.0004328187,0.000076235614,0.0002961588,0.00009341428,0.00055148924,0.000045068435,0.00046995544,6.207338e-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":[0.00003743787,0.000017004899,0.01985263,0.0015328911,0.0005782877,0.000007839001,0.0013401984,0.7550961,0.15752071,0.03886949,0.0008315099,0.024315944],"study_design_scores_gemma":[0.0010478066,0.00019655547,0.57223076,0.00031822873,0.000288643,0.00023309296,0.0007894917,0.15416728,0.26312223,0.0021266649,0.0039768987,0.0015023422],"about_ca_topic_score_codex":0.000018944856,"about_ca_topic_score_gemma":5.231584e-7,"teacher_disagreement_score":0.6009288,"about_ca_system_score_codex":0.0001051914,"about_ca_system_score_gemma":0.000013361243,"threshold_uncertainty_score":0.99981236},"labels":[],"label_agreement":null},{"id":"W2030288576","doi":"10.1080/15732479.2013.769014","title":"Fundamental concepts of suspension bridge retrofit","year":2013,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Engineering and Vibration Analysis","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":"Buckland & Taylor (Canada)","funders":"","keywords":"Retrofitting; Suspension (topology); Bridge (graph theory); Engineering; Construction engineering; Code (set theory); Argument (complex analysis); Computer science; Structural engineering; Mathematics","score_opus":0.0032938610981977277,"score_gpt":0.19457863409177248,"score_spread":0.19128477299357474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030288576","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":[0.9808542,0.0005273734,0.017341968,0.000019882209,0.0005382586,0.00015711541,0.000033638942,0.0003017953,0.00022576621],"genre_scores_gemma":[0.9958781,0.00005286294,0.003797979,0.000027590564,0.00013299799,0.0000051649163,0.000039637012,0.000047154128,0.00001850607],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989581,0.000007447332,0.0003429904,0.00020965686,0.00018680672,0.00029495984],"domain_scores_gemma":[0.9994936,0.00003307028,0.00004479886,0.00022476345,0.000057226018,0.00014656252],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000026082016,0.00031262636,0.00035984794,0.00019540942,0.000041352,0.00005003637,0.00013050543,0.00016207338,0.00077222224],"category_scores_gemma":[0.000021110987,0.00027847098,0.0000789536,0.0002991524,0.000065008084,0.00029771886,0.000039115468,0.0002858669,0.0000038301473],"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":[0.0000045048437,0.0000017174898,0.0033823801,0.00030062298,0.00020455806,0.0000028901502,0.00049858826,0.4627388,0.50944644,0.0016789372,0.0017635602,0.019976975],"study_design_scores_gemma":[0.0006898269,0.00006535863,0.40221983,0.000084652995,0.00007114426,0.00009976555,0.00016551233,0.46931124,0.124241374,0.00082792906,0.0014613414,0.0007620255],"about_ca_topic_score_codex":0.000031038773,"about_ca_topic_score_gemma":0.000001948779,"teacher_disagreement_score":0.39883748,"about_ca_system_score_codex":0.000046923462,"about_ca_system_score_gemma":0.0000074931063,"threshold_uncertainty_score":0.99996674},"labels":[],"label_agreement":null},{"id":"W2035236774","doi":"10.1080/15732479.2013.873471","title":"A condition assessment model for oil and gas pipelines using integrated simulation and analytic network process","year":2014,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Qatar National Research Fund; Qatar Petroleum","keywords":"Pipeline transport; Submarine pipeline; Pipeline (software); Engineering; Process (computing); Petroleum engineering; Fossil fuel; Monte Carlo method; Reliability engineering; Environmental science; Risk analysis (engineering); Forensic engineering; Computer science; Waste management; Environmental engineering; Mechanical engineering; Geotechnical engineering","score_opus":0.0073337239741161605,"score_gpt":0.2566302400941373,"score_spread":0.24929651612002116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035236774","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":[0.7031357,0.0002441993,0.29614174,0.000029980863,0.00017301342,0.00008650186,0.00004484946,0.000121889636,0.000022098202],"genre_scores_gemma":[0.9731607,0.0000786294,0.026308967,0.000037932667,0.00028318388,0.000007188571,0.00007666526,0.000037703023,0.000009049548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893194,0.00001493888,0.00031427338,0.00031812917,0.00012393133,0.0002967947],"domain_scores_gemma":[0.99945176,0.00012348613,0.00005647033,0.00013649173,0.00011131837,0.00012046352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011399676,0.00033859344,0.00039996603,0.0001406405,0.00015607488,0.00012093406,0.00006654687,0.0002511628,0.000011534069],"category_scores_gemma":[0.00008509437,0.00028202662,0.000050795068,0.0002288184,0.00006866856,0.00027201703,0.000024883702,0.00035412976,3.3963126e-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":[0.00000888647,7.7269885e-7,0.00053709594,0.00047399613,0.00007927291,2.0830427e-7,0.00020980358,0.9823462,0.0027692576,0.00043503175,0.000018533736,0.013120977],"study_design_scores_gemma":[0.0003418484,0.00002485395,0.002026017,0.00009353162,0.0001713087,0.000020428173,0.000056208424,0.9856102,0.00025302803,0.01091561,0.00016980553,0.00031714328],"about_ca_topic_score_codex":0.0000083096575,"about_ca_topic_score_gemma":0.000013240767,"teacher_disagreement_score":0.27002496,"about_ca_system_score_codex":0.000051271498,"about_ca_system_score_gemma":0.00001631395,"threshold_uncertainty_score":0.99996316},"labels":[],"label_agreement":null},{"id":"W2036555095","doi":"10.1080/15732470600856262","title":"Modelling and analysis of retrofitted and un-retrofitted masonry-infilled RC frames under in-plane lateral loading","year":2006,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Retrofitting; Masonry; Ferrocement; Structural engineering; Overlay; Parametric statistics; Infill; Engineering; Masonry veneer; Reinforced concrete; Computer science; Mathematics","score_opus":0.002753329425091414,"score_gpt":0.16775136071135413,"score_spread":0.16499803128626273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036555095","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":[0.99133915,0.0015582702,0.006536608,0.000022380238,0.00012302666,0.00011474956,0.00009746431,0.00012780697,0.0000805693],"genre_scores_gemma":[0.99424005,0.00018995143,0.005259881,0.00002312696,0.000094789466,0.0000027403373,0.00013732005,0.000040975818,0.000011143106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839264,0.00002265525,0.0005406741,0.0004129035,0.00020408288,0.00042706652],"domain_scores_gemma":[0.99945265,0.00008274099,0.000088313674,0.00022084163,0.00003664801,0.00011882125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007719053,0.00046909752,0.0008362697,0.00076966925,0.000073174764,0.000081292186,0.00011432235,0.00030692114,0.00012614575],"category_scores_gemma":[0.000011964672,0.00042065963,0.000097632634,0.0010844113,0.00007490247,0.00024073165,0.00006030373,0.00047601672,9.3154505e-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":[0.000017605966,7.486597e-7,0.054148324,0.00014624688,0.0006524838,0.000008605751,0.00022971186,0.92108417,0.021268342,0.0016041783,0.0000075740177,0.0008320392],"study_design_scores_gemma":[0.00045508175,0.000019219933,0.23350729,0.00004041939,0.000507245,0.000025085037,0.00005557153,0.7604546,0.003246574,0.0012253921,0.000051346662,0.00041218055],"about_ca_topic_score_codex":0.00014820056,"about_ca_topic_score_gemma":0.000027115886,"teacher_disagreement_score":0.17935897,"about_ca_system_score_codex":0.00003937639,"about_ca_system_score_gemma":0.0000063326784,"threshold_uncertainty_score":0.9998245},"labels":[],"label_agreement":null},{"id":"W2040841078","doi":"10.1080/15732479.2014.896021","title":"Infrastructure performance rating models for wastewater treatment plants","year":2014,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Analytic hierarchy process; Unit (ring theory); Business; Environmental economics; Operations management; Engineering; Operations research; Economics; Mathematics","score_opus":0.003660817218011138,"score_gpt":0.16035241961523017,"score_spread":0.15669160239721902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040841078","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":[0.88208336,0.00026161518,0.114873074,0.00001404081,0.0013091243,0.0004686475,0.000101427475,0.00041729427,0.0004714446],"genre_scores_gemma":[0.98478526,0.000065491935,0.014159786,0.000021189311,0.0006718494,0.000034838245,0.000113971466,0.000088638204,0.000058962665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877846,0.000009775861,0.00032926377,0.00030515416,0.00013043676,0.00044689022],"domain_scores_gemma":[0.9995033,0.00003595353,0.000046836103,0.0002491996,0.000033810426,0.00013090446],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005383218,0.0004471008,0.00038309552,0.0001466323,0.00012834578,0.00010990861,0.0001271407,0.00023120272,0.000018920719],"category_scores_gemma":[0.000009674188,0.00035155227,0.00006000721,0.00009295558,0.000019307283,0.00039330884,0.000026562235,0.00017453723,6.6192604e-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":[0.000009278693,9.2582195e-7,0.00033448354,0.00024362782,0.000055720076,4.1905403e-7,0.00069050293,0.9862955,0.004921585,0.00038221598,0.00055715087,0.006508555],"study_design_scores_gemma":[0.00072230713,0.0001131178,0.0021679527,0.00006614922,0.000025921287,0.00005170879,0.000032013908,0.9692298,0.015358297,0.0006465187,0.011167184,0.00041898357],"about_ca_topic_score_codex":0.0000033806318,"about_ca_topic_score_gemma":0.000009138179,"teacher_disagreement_score":0.10270194,"about_ca_system_score_codex":0.00008376217,"about_ca_system_score_gemma":0.0000101000805,"threshold_uncertainty_score":0.99989367},"labels":[],"label_agreement":null},{"id":"W2057389313","doi":"10.1080/15732470802445310","title":"The impact on environment of underground infrastructure utility work","year":2008,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Trenchless technology; Work (physics); Pipeline (software); Computer science; Pipeline transport; Civil engineering; Construction engineering; Risk analysis (engineering); Transport engineering; Environmental science; Engineering; Environmental engineering; Business; Mechanical engineering","score_opus":0.0032377606203303614,"score_gpt":0.1792931287886591,"score_spread":0.17605536816832876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057389313","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":[0.9915569,0.0012716779,0.0046085636,0.000042585794,0.00066714425,0.0003850219,0.00006515719,0.00023577888,0.0011672056],"genre_scores_gemma":[0.9977832,0.0005065206,0.0012538875,0.000030345653,0.00027276477,0.000010916353,0.000026389615,0.00008463842,0.00003134376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99760437,0.000048116177,0.0006489099,0.00046506463,0.00046732993,0.00076619006],"domain_scores_gemma":[0.99844426,0.00029413894,0.00011693062,0.00083047873,0.000052304476,0.0002618883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013907597,0.00075462984,0.0006127009,0.00017098483,0.00041504708,0.00007440844,0.00044002663,0.0003851603,0.00020855264],"category_scores_gemma":[0.00007684758,0.00048825334,0.00022457902,0.00044490135,0.00043947852,0.00027730592,0.00010990883,0.0010123141,0.0000017145138],"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":[0.00029393262,0.000023603616,0.05841468,0.00028499562,0.0007585129,0.000034374552,0.0018155703,0.8793462,0.004479734,0.0029782935,0.01422203,0.03734806],"study_design_scores_gemma":[0.0007833511,0.00024171606,0.94714725,0.000045350524,0.000051463732,0.00024169128,0.00027766608,0.015144967,0.0033626505,0.017453318,0.014377106,0.00087347993],"about_ca_topic_score_codex":0.000014485718,"about_ca_topic_score_gemma":0.0000016004362,"teacher_disagreement_score":0.88873255,"about_ca_system_score_codex":0.00027421373,"about_ca_system_score_gemma":0.00007129821,"threshold_uncertainty_score":0.99975693},"labels":[],"label_agreement":null},{"id":"W2073056394","doi":"10.1080/15732479.2010.504212","title":"Modelling the performance of pavement marking in cold weather conditions","year":2010,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Infrastructure Canada","keywords":"Plan (archaeology); Transport engineering; Engineering; Pavement management; Pavement engineering; Civil engineering; Forensic engineering; Environmental science; Computer science; Asphalt","score_opus":0.002265792982666503,"score_gpt":0.16889160069315648,"score_spread":0.16662580771049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073056394","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":[0.9956232,0.00019671829,0.002331929,0.00001283601,0.0013517089,0.00019057337,0.000023343862,0.000086863365,0.00018287884],"genre_scores_gemma":[0.99510837,0.000078790836,0.0044069206,0.000018096247,0.00031597586,0.000013497441,0.000006814997,0.000045287197,0.0000062380777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989547,0.0000064019837,0.00032727447,0.00018212825,0.0001625236,0.0003669855],"domain_scores_gemma":[0.99954736,0.000045159064,0.000046721525,0.0002669814,0.000034163244,0.000059616577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096469186,0.00027385616,0.0002472765,0.00016558933,0.00007773273,0.000034976085,0.00019891016,0.00016440566,0.00007539248],"category_scores_gemma":[0.000008442569,0.00020585823,0.000044191078,0.00022157074,0.00006781367,0.00018235113,0.00004471759,0.0008117468,3.679135e-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":[0.0000020800162,9.811768e-7,0.005528002,0.00009445579,0.00002231767,0.0000015194107,0.00035748238,0.7423647,0.24882577,0.0022617693,0.000032921016,0.00050799025],"study_design_scores_gemma":[0.00046706427,0.000032356194,0.023684436,0.00015033745,0.000028730083,0.000051463478,0.00014922045,0.8324622,0.1370929,0.0007813558,0.0046542627,0.00044568148],"about_ca_topic_score_codex":0.000017291151,"about_ca_topic_score_gemma":0.000011057939,"teacher_disagreement_score":0.11173287,"about_ca_system_score_codex":0.00003190896,"about_ca_system_score_gemma":0.000014835257,"threshold_uncertainty_score":0.8394655},"labels":[],"label_agreement":null},{"id":"W2083053874","doi":"10.1080/15732479.2010.502179","title":"Data acquisition and analysis for water main rehabilitation techniques","year":2010,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Aecom (Canada)","funders":"","keywords":"Mains electricity; Rehabilitation; Engineering; Downtime; Trenchless technology; Forensic engineering; Civil engineering; Reliability engineering; Environmental engineering; Pipeline transport","score_opus":0.0027007518957861756,"score_gpt":0.18825963581319244,"score_spread":0.18555888391740627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083053874","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":[0.694164,0.000089120185,0.30399865,0.00005942702,0.00050422543,0.00033779413,0.0004963751,0.0003034351,0.000046983536],"genre_scores_gemma":[0.9171925,0.000008620051,0.08175812,0.00001152838,0.00024967102,0.0000126445975,0.0007305189,0.000028125802,0.000008253317],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930805,0.000005090925,0.0001914211,0.00024253983,0.00006974115,0.00018318676],"domain_scores_gemma":[0.99955255,0.00003275589,0.000017096907,0.00030731718,0.000031079515,0.000059178252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110644985,0.00017660932,0.00019950414,0.00021115068,0.00005793963,0.00008892702,0.00010602746,0.00016890184,0.000025606101],"category_scores_gemma":[0.000020869224,0.00013517309,0.000026923944,0.00013593165,0.000021858472,0.0003411406,0.000050577957,0.00016693652,1.07808454e-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":[0.000024569288,0.0000040456785,0.011336114,0.001097785,0.00071570225,0.0000021661192,0.0020837116,0.35176206,0.61598283,0.0029172008,0.0034658709,0.010607951],"study_design_scores_gemma":[0.00040617533,0.00006995837,0.07028254,0.000029582294,0.0003476671,0.000046990524,0.000055885692,0.85758066,0.04377819,0.002291348,0.02448517,0.0006258086],"about_ca_topic_score_codex":0.0000035566313,"about_ca_topic_score_gemma":0.00007124289,"teacher_disagreement_score":0.57220465,"about_ca_system_score_codex":0.000011613208,"about_ca_system_score_gemma":0.0000026737487,"threshold_uncertainty_score":0.5512199},"labels":[],"label_agreement":null},{"id":"W2083916857","doi":"10.1080/15732479.2014.912243","title":"Seismic fragility assessment of highway bridges: a state-of-the-art review","year":2014,"lang":"en","type":"review","venue":"Structure and Infrastructure Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":333,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Fragility; Serviceability (structure); Risk analysis (engineering); Engineering; Forensic engineering; Construction engineering; Computer science; Civil engineering; Business","score_opus":0.005281677674472165,"score_gpt":0.24181703394696893,"score_spread":0.23653535627249678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083916857","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010018582,0.99198127,0.00541641,0.0000072074195,0.0006907167,0.00044743725,0.00027038463,0.00009443455,0.00009026037],"genre_scores_gemma":[0.012923953,0.9858515,0.000794056,0.00004434161,0.00015147481,0.000017864264,0.00010728277,0.00008528084,0.000024226834],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977991,0.000046868798,0.0011199032,0.00034669758,0.00033905118,0.0003483714],"domain_scores_gemma":[0.9986315,0.00007821107,0.00036159853,0.0007642811,0.000066323984,0.00009812636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001817263,0.00068559585,0.0025653173,0.0002178734,0.000041303207,0.000019118768,0.000503193,0.0002742393,0.00006354269],"category_scores_gemma":[0.000039073122,0.0004656778,0.0005722303,0.0006180997,0.00007780168,0.00011253389,0.0001244667,0.00089487317,0.0000010184885],"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":[6.118945e-7,0.0000033206281,0.00011104307,0.25497708,0.000707821,0.0000011481554,0.000043296128,0.094262995,0.000040719882,0.00004350809,0.0030280617,0.6467804],"study_design_scores_gemma":[0.000108255925,0.000018695597,0.00077835104,0.02985441,0.0011029984,0.00004829743,0.0000017820395,0.040371634,0.000067590314,0.000050462768,0.92707473,0.00052279106],"about_ca_topic_score_codex":0.000004633971,"about_ca_topic_score_gemma":0.0000012420996,"teacher_disagreement_score":0.9240467,"about_ca_system_score_codex":0.00010261337,"about_ca_system_score_gemma":0.00009819712,"threshold_uncertainty_score":0.9997795},"labels":[],"label_agreement":null},{"id":"W2088999732","doi":"10.1080/15732470500254535","title":"A modified shuffled frog-leaping optimization algorithm: applications to project management","year":2006,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":188,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmark (surveying); Computer science; Algorithm; Particle swarm optimization; Flowchart; Range (aeronautics); Mathematical optimization; USable; Domain (mathematical analysis); Evolutionary algorithm; Mathematics; Artificial intelligence; Engineering","score_opus":0.0059884908602278585,"score_gpt":0.23296183450079436,"score_spread":0.2269733436405665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088999732","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003468082,0.00013384556,0.9973068,0.00010975138,0.00021277455,0.00092178764,0.000023784145,0.00029377048,0.0006506654],"genre_scores_gemma":[0.040242653,0.000023019249,0.9590104,0.000094321134,0.00025431145,0.00012206018,0.000054982047,0.000030697312,0.0001675348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982467,0.000026926717,0.0003339351,0.0005834267,0.00039749956,0.00041147447],"domain_scores_gemma":[0.9991403,0.000036089536,0.00006730676,0.000500452,0.00012297393,0.00013284395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010741529,0.00027998624,0.00023550577,0.0005220392,0.00017039973,0.0003562409,0.00055492506,0.000107845655,0.000029367153],"category_scores_gemma":[0.000021170163,0.00026546282,0.00003914536,0.0011670174,0.000021929834,0.000343997,0.0003132399,0.00023132311,0.0000021558192],"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":[0.0000019311144,0.000005175227,0.00001470447,0.00005033754,0.000025746349,0.0000054110847,0.000086028514,0.9426198,0.00030719946,0.017215015,0.00047550836,0.03919314],"study_design_scores_gemma":[0.00033677096,0.000021550197,0.00093927135,0.000017688568,0.000012675262,0.000027846108,0.000012398629,0.98979294,0.00034286323,0.0012850835,0.00691495,0.00029594917],"about_ca_topic_score_codex":0.00001863751,"about_ca_topic_score_gemma":7.804067e-7,"teacher_disagreement_score":0.04717315,"about_ca_system_score_codex":0.000074031785,"about_ca_system_score_gemma":0.00003644879,"threshold_uncertainty_score":0.99997973},"labels":[],"label_agreement":null},{"id":"W2101950038","doi":"10.1080/15732479.2013.795978","title":"A review of multi-criteria decision-making methods for infrastructure management","year":2013,"lang":"en","type":"review","venue":"Structure and Infrastructure Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":427,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiple-criteria decision analysis; Management science; Decision analysis; Computer science; Stakeholder; Decision support system; Risk analysis (engineering); Engineering; Operations research; Business; Mathematics; Data mining; Political science","score_opus":0.07641263583973068,"score_gpt":0.47756758657355797,"score_spread":0.4011549507338273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101950038","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005519088,0.6741161,0.32003722,0.000008647158,0.002424607,0.002793226,0.00048845867,0.00007962969,0.000046597303],"genre_scores_gemma":[0.000012067621,0.52817553,0.4710036,0.0001541507,0.0002800901,0.00014239302,0.00005642811,0.0001425276,0.000033221335],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99009436,0.0005146427,0.0047361962,0.00222666,0.001388399,0.0010397353],"domain_scores_gemma":[0.9881326,0.005642547,0.0023947426,0.0025473125,0.0008883309,0.0003944836],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0028766014,0.0018769868,0.0061905305,0.0020974784,0.00023669902,0.0006585193,0.0029510169,0.0011393345,0.0019965763],"category_scores_gemma":[0.008230354,0.0012825035,0.0014261745,0.0022558055,0.00017472824,0.00063859293,0.0015051811,0.0012190985,0.000012138342],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010512899,0.0000060187194,0.000001783017,0.0647475,0.00028947645,0.0000060487823,0.00007992125,0.00017160598,0.000027213227,0.00043128614,0.010544585,0.92368406],"study_design_scores_gemma":[0.00044826325,0.000045928857,0.000065743945,0.10544268,0.0008049317,0.00025683347,0.00003576386,0.005266947,0.0000065622585,0.008197204,0.8783682,0.0010609556],"about_ca_topic_score_codex":0.0000016439993,"about_ca_topic_score_gemma":6.5394806e-7,"teacher_disagreement_score":0.9226231,"about_ca_system_score_codex":0.00020295735,"about_ca_system_score_gemma":0.00018340115,"threshold_uncertainty_score":0.99939746},"labels":[],"label_agreement":null},{"id":"W2138348528","doi":"10.1080/15732470701270033","title":"Issues in societal optimal engineering decision making","year":2008,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Engineering; Risk analysis (engineering); Computer science; Construction engineering; Business","score_opus":0.02256602816856469,"score_gpt":0.31071127536667736,"score_spread":0.2881452471981127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138348528","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":[0.9339984,0.002220406,0.06220123,0.0000365281,0.0011063885,0.00017771528,0.000019192501,0.000109529465,0.00013058381],"genre_scores_gemma":[0.9374121,0.000021246802,0.061949063,0.00005514113,0.000445608,0.000004143919,0.0000017141106,0.000040463634,0.000070541166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963999,0.000035478057,0.0010037314,0.0007783898,0.0012149585,0.0005675454],"domain_scores_gemma":[0.9981294,0.00083179533,0.00016821359,0.000573846,0.00013245779,0.00016425883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005309551,0.0004377343,0.00069128524,0.00077595894,0.00019842244,0.00028308958,0.00060446624,0.00025584552,0.00038362292],"category_scores_gemma":[0.0015189602,0.00034316137,0.00015432607,0.0011283733,0.000060216546,0.00059061137,0.00034932903,0.0005909613,0.000010595039],"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":[0.00007105012,0.000009923565,0.053775508,0.0000420999,0.000044016604,0.00028506664,0.004079757,0.8786996,0.009616242,0.006728177,0.007333744,0.039314814],"study_design_scores_gemma":[0.000907852,0.00006993961,0.62805194,0.0002586755,0.000009682101,0.0014062983,0.00037627347,0.32870358,0.00040707827,0.011159473,0.027773563,0.00087567355],"about_ca_topic_score_codex":0.000012284423,"about_ca_topic_score_gemma":0.000008331377,"teacher_disagreement_score":0.5742764,"about_ca_system_score_codex":0.00007682349,"about_ca_system_score_gemma":0.000043416196,"threshold_uncertainty_score":0.99990207},"labels":[],"label_agreement":null},{"id":"W2144020533","doi":"10.1080/15732479.2012.657652","title":"Multi-objective and probabilistic decision-making approaches to sustainable design and management of highway bridge decks","year":2012,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Service life; Sustainability; Engineering; Satisficing; Pavement management; Probabilistic logic; Bridge (graph theory); Bridge maintenance; Life-cycle assessment; Computer science; Risk analysis (engineering); Civil engineering; Deck; Reliability engineering; Structural engineering; Business; Production (economics); Economics","score_opus":0.017686536400501326,"score_gpt":0.21472159341542454,"score_spread":0.19703505701492322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144020533","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":[0.73434967,0.0014340272,0.26324567,0.0000062937766,0.00021541383,0.0005797117,0.000012518445,0.000109657325,0.000047043264],"genre_scores_gemma":[0.8837341,0.000059752492,0.116087325,0.000011158049,0.00004780841,0.00001885092,0.000002053336,0.00003359274,0.000005378611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99890125,0.000017361035,0.00025551973,0.00027622664,0.00013187522,0.000417752],"domain_scores_gemma":[0.9993797,0.00013485015,0.00003118307,0.00021161375,0.00003356796,0.00020911988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017265658,0.00030072854,0.00031246681,0.00015631734,0.00007399691,0.000051954696,0.0000894645,0.00012552683,0.000016269523],"category_scores_gemma":[0.00008142834,0.00026616183,0.000026987296,0.00023020727,0.000050483308,0.00023302168,0.00016640144,0.00019901816,2.495345e-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":[0.00028735807,0.000029168255,0.022422336,0.009579079,0.0004443645,0.00003477989,0.016427852,0.70586014,0.024443982,0.022345554,0.00065084425,0.19747455],"study_design_scores_gemma":[0.00096946245,0.000083531224,0.8042782,0.00041039067,0.00013809731,0.00012833989,0.0009241203,0.18534596,0.0034696283,0.0020864336,0.0012461665,0.0009197011],"about_ca_topic_score_codex":0.0000031041666,"about_ca_topic_score_gemma":0.0000011280757,"teacher_disagreement_score":0.7818558,"about_ca_system_score_codex":0.00006466888,"about_ca_system_score_gemma":0.000007479939,"threshold_uncertainty_score":0.9999791},"labels":[],"label_agreement":null},{"id":"W2254722201","doi":"10.1080/15732479.2015.1076485","title":"Maintenance planning using continuous-state partially observable Markov decision processes and non-linear action models","year":2015,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Géomatique du Québec","funders":"","keywords":"Partially observable Markov decision process; Markov decision process; Computer science; Observable; Mathematical optimization; Action (physics); State (computer science); Markov process; Markov chain; Operations research; Markov model; Mathematics; Machine learning; Algorithm","score_opus":0.02054624537918681,"score_gpt":0.2380561603265087,"score_spread":0.2175099149473219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254722201","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":[0.7912144,0.00081866776,0.20693918,0.0000069310727,0.00056258583,0.00016514563,0.000027523216,0.000206726,0.000058842048],"genre_scores_gemma":[0.9741547,0.000089984795,0.025482593,0.000033056873,0.00015904805,0.0000045384413,0.000011921642,0.000053561827,0.00001058546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987426,0.0000101511705,0.0003199871,0.00033617692,0.00020343157,0.00038764707],"domain_scores_gemma":[0.99926883,0.000064742606,0.0000518359,0.00021065152,0.0001360787,0.00026784386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012023599,0.00035030552,0.00036089562,0.000106927335,0.000083868195,0.000110092136,0.00011079569,0.00016869117,0.000012081168],"category_scores_gemma":[0.00014076724,0.00031177813,0.000030019723,0.00024767136,0.00004185825,0.0005981632,0.00007971582,0.0003578189,3.5129383e-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":[0.000058989343,0.0000010538276,0.0031063089,0.00030615524,0.000019090046,0.000009381196,0.00086538115,0.96527094,0.022526966,0.000018315608,0.0002410063,0.007576445],"study_design_scores_gemma":[0.00068208226,0.000040435298,0.0056180027,0.00020035739,0.000025374999,0.00010569863,0.00019471109,0.984114,0.0055268104,0.0017683605,0.0012995604,0.00042461682],"about_ca_topic_score_codex":0.0000135198725,"about_ca_topic_score_gemma":0.000011773426,"teacher_disagreement_score":0.1829403,"about_ca_system_score_codex":0.000077301636,"about_ca_system_score_gemma":0.000055960787,"threshold_uncertainty_score":0.9999334},"labels":[],"label_agreement":null},{"id":"W2268771305","doi":"10.1080/15732470412331289323","title":"Structural health monitoring of innovative bridge decks","year":2005,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Transports","keywords":"Bridge (graph theory); Deck; Engineering; Structural health monitoring; Forensic engineering; Bridge deck; Civil engineering; Construction engineering; Structural engineering","score_opus":0.006972024245388768,"score_gpt":0.2266093363830099,"score_spread":0.21963731213762114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268771305","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":[0.99409395,0.0015106228,0.0028412517,0.00005579348,0.00087011297,0.00017070943,0.000073309304,0.0002756578,0.0001086066],"genre_scores_gemma":[0.9895094,0.00007532765,0.009895296,0.000040791696,0.0004101586,0.0000031709928,0.000016266335,0.00004404587,0.000005549923],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99868536,0.000013076383,0.0004770039,0.0002490263,0.00019623742,0.00037929916],"domain_scores_gemma":[0.99936014,0.000039339055,0.00007517031,0.0002665309,0.000092039656,0.00016677198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000075710566,0.0003341347,0.00042557836,0.00017839189,0.000065783956,0.000033020282,0.00016021969,0.00014326631,0.00010431453],"category_scores_gemma":[0.000049383765,0.0003082111,0.00005220992,0.0004460947,0.000054978373,0.00025839623,0.000059407383,0.00044608093,9.2618e-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":[0.00004592635,0.000004406129,0.120584555,0.0012536906,0.000180019,0.0000045026186,0.00633685,0.27215475,0.199097,0.0025931317,0.0020838252,0.39566135],"study_design_scores_gemma":[0.00075989694,0.00006325606,0.8862877,0.00013410552,0.000012158976,0.000084202584,0.00013067,0.046032183,0.06018877,0.0003060872,0.005336132,0.00066487776],"about_ca_topic_score_codex":0.000009193178,"about_ca_topic_score_gemma":0.0000042797997,"teacher_disagreement_score":0.7657031,"about_ca_system_score_codex":0.000111318106,"about_ca_system_score_gemma":0.00003621729,"threshold_uncertainty_score":0.999937},"labels":[],"label_agreement":null},{"id":"W2318264551","doi":"10.1080/15732479.2015.1053093","title":"A fuzzy Bayesian belief network for safety assessment of oil and gas pipelines","year":2015,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian network; Pipeline (software); Vagueness; Risk analysis (engineering); Pipeline transport; Randomness; Fuzzy logic; Reliability engineering; Engineering; Computer science; Bayesian probability; Artificial intelligence; Business; Mathematics","score_opus":0.016528067126233864,"score_gpt":0.2989965168783576,"score_spread":0.2824684497521237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318264551","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":[0.4663,0.0060939654,0.5159225,0.003304338,0.0026985887,0.000415155,0.00061826955,0.00016186718,0.0044853147],"genre_scores_gemma":[0.887752,0.00035797327,0.111042365,0.000077874174,0.00058529415,0.0000045818574,0.00002636796,0.000022147316,0.00013138163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979151,0.000045200257,0.00069068186,0.0004419593,0.0005802575,0.00032679015],"domain_scores_gemma":[0.998456,0.00039728134,0.00021752753,0.00037199046,0.0003011549,0.0002560462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008152304,0.00027302658,0.0006121041,0.0002054281,0.00012538211,0.00011185016,0.00028215355,0.0001740443,0.000033303168],"category_scores_gemma":[0.000632265,0.00019362978,0.0001107213,0.0005655361,0.00008252298,0.00023817146,0.00012294148,0.00021648033,2.0930024e-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":[0.00011768775,0.0000068168856,0.029395811,0.00010010647,0.00018767345,0.0000039749557,0.0010751433,0.48164874,0.001309699,0.019492388,0.0056140376,0.46104792],"study_design_scores_gemma":[0.0025199794,0.00033422734,0.1448044,0.00011055745,0.00026573302,0.000106010964,0.00094577647,0.31989425,0.0003420234,0.429425,0.100332394,0.00091965694],"about_ca_topic_score_codex":0.000015696984,"about_ca_topic_score_gemma":0.00003131807,"teacher_disagreement_score":0.46012825,"about_ca_system_score_codex":0.000026702488,"about_ca_system_score_gemma":0.00008002024,"threshold_uncertainty_score":0.78959936},"labels":[],"label_agreement":null},{"id":"W2328737920","doi":"10.1080/15732479.2015.1071855","title":"Response modification factor of elevated water tanks with reinforced concrete pedestal","year":2015,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":9,"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":"American Concrete Institute Foundation","keywords":"Pedestal; Structural engineering; Water tanks; Storage tank; Current (fluid); Seismic loading; Geotechnical engineering; Finite element method; Engineering; Foundation (evidence); Reinforced concrete; Environmental science; Marine engineering; Waste management; Mechanical engineering","score_opus":0.005533653751389716,"score_gpt":0.18590190542909382,"score_spread":0.1803682516777041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328737920","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":[0.99257267,0.00009525467,0.0068124607,0.000017375498,0.00016249494,0.00008870506,0.000041722134,0.00015875022,0.000050592087],"genre_scores_gemma":[0.99813515,0.000012822729,0.0016231034,0.000020758793,0.000073140756,0.0000033982708,0.000061941646,0.000035701614,0.000033989392],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991386,0.000010045854,0.0002437591,0.00015674302,0.00019046964,0.0002604069],"domain_scores_gemma":[0.999518,0.000017923752,0.000034237026,0.0002178983,0.00008242751,0.00012954666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068129004,0.0002441356,0.00028317852,0.00017848963,0.000027812575,0.000029719364,0.0001054077,0.00013620463,0.000042915617],"category_scores_gemma":[0.000022236842,0.00016589939,0.000032926557,0.00019567629,0.000039771574,0.00026412573,0.000020407475,0.00022036042,0.0000011502974],"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":[0.00013314925,1.3651645e-7,0.00038691235,0.00006294614,0.0000890671,0.0000032423002,0.0013521027,0.36076552,0.636687,0.000044391374,0.00009558668,0.00037997044],"study_design_scores_gemma":[0.0009265967,0.00013753558,0.005912817,0.000048386275,0.000057906367,0.00006759781,0.00024107099,0.45840052,0.53152615,0.00004011377,0.0021978694,0.00044340428],"about_ca_topic_score_codex":0.0000060444,"about_ca_topic_score_gemma":4.2948633e-7,"teacher_disagreement_score":0.105160795,"about_ca_system_score_codex":0.000044177392,"about_ca_system_score_gemma":0.000021585221,"threshold_uncertainty_score":0.676518},"labels":[],"label_agreement":null},{"id":"W2340805681","doi":"10.1080/15732479.2016.1144620","title":"Integrated performance assessment model for water distribution networks","year":2016,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Qatar National Research Fund","keywords":"Pipeline transport; Reliability (semiconductor); Process (computing); Report card; Network performance; Critical infrastructure; Reliability engineering; Network information system; Computer science; Engineering; Civil engineering; Network architecture; Computer network; Computer security; Environmental engineering","score_opus":0.0026873556584196185,"score_gpt":0.1642204801259067,"score_spread":0.16153312446748708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340805681","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":[0.22161318,0.000040848256,0.77731407,0.000016954207,0.0005142061,0.00017196263,0.000106005355,0.00018916184,0.000033624492],"genre_scores_gemma":[0.99282897,0.000046812074,0.0065116994,0.0000089277155,0.00022134607,0.000024192372,0.00023131141,0.000042283467,0.000084451865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992122,0.000003831599,0.00021026428,0.00017660172,0.000078060286,0.00031904294],"domain_scores_gemma":[0.99972105,0.0000128516285,0.000016990392,0.00013395077,0.000043398974,0.00007176464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049165228,0.00023344278,0.00018434896,0.000049178037,0.00006410593,0.000047885704,0.00007823544,0.00015784171,0.000017725883],"category_scores_gemma":[0.000004911239,0.00013051019,0.00003378763,0.00004856702,0.000015035251,0.00026176136,0.00002123936,0.0001230303,2.6417263e-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":[0.0000049597825,5.1015127e-7,0.00046652704,0.00007955869,0.000026684858,1.9738023e-7,0.00006645996,0.9842644,0.00982606,0.0002904971,0.0009771893,0.003996982],"study_design_scores_gemma":[0.00035910698,0.00002155167,0.0032585964,0.000056860437,0.000014699004,0.000009997594,0.0000031801374,0.98587525,0.0066955425,0.00012435901,0.0033505165,0.00023033739],"about_ca_topic_score_codex":7.061324e-7,"about_ca_topic_score_gemma":0.00000534308,"teacher_disagreement_score":0.7712158,"about_ca_system_score_codex":0.000089590096,"about_ca_system_score_gemma":0.000007065703,"threshold_uncertainty_score":0.5322051},"labels":[],"label_agreement":null},{"id":"W2404504846","doi":"10.1080/15732479.2016.1175482","title":"Gaussian process model for maximum and residual drifts of timber-steel hybrid building","year":2016,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kelowna General Hospital; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Peak ground acceleration; Residual; Structural engineering; Surrogate model; Infill; Acceleration; Sensitivity (control systems); Gaussian; Engineering; Computer science; Ground motion; Statistics; Mathematics; Algorithm","score_opus":0.0060008424252666875,"score_gpt":0.23910122235957965,"score_spread":0.23310037993431296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404504846","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":[0.9062264,0.00045593246,0.0918365,0.000059641075,0.00036475758,0.00037680074,0.00022178667,0.00043222553,0.00002595789],"genre_scores_gemma":[0.9190108,0.000092956325,0.08045685,0.000014420023,0.00029394595,0.000026010674,0.000008071713,0.00008709646,0.000009850377],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985825,0.000007773086,0.00040075943,0.00034573782,0.00018118015,0.0004820587],"domain_scores_gemma":[0.9993226,0.00010842379,0.00007544869,0.00024512564,0.00007250061,0.00017588637],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009167044,0.00039655904,0.00041594577,0.00020761884,0.00007482494,0.000029928497,0.00018295822,0.0002702059,0.000007268395],"category_scores_gemma":[0.00006642056,0.00029628316,0.000043683434,0.00011750179,0.00007352443,0.00028882295,0.000056974095,0.00030292795,8.304037e-8],"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":[0.00016458951,0.000005663305,0.00502971,0.0069086314,0.00029354932,0.000010976306,0.0020814133,0.26416907,0.4620719,0.00924721,0.0019434685,0.24807382],"study_design_scores_gemma":[0.0017551115,0.00020037315,0.040081143,0.0009820051,0.00011011953,0.00027006978,0.000052665822,0.5266508,0.35113844,0.0758671,0.0014479785,0.0014441985],"about_ca_topic_score_codex":0.0000020674158,"about_ca_topic_score_gemma":0.0000011643759,"teacher_disagreement_score":0.26248172,"about_ca_system_score_codex":0.00006149549,"about_ca_system_score_gemma":0.00002660507,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W2597150170","doi":"10.1080/15732479.2017.1299771","title":"A probabilistic framework based on statistical learning theory for structural reliability analysis of transmission line systems","year":2017,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Probabilistic logic; Monte Carlo method; Reliability (semiconductor); Structural system; Reliability engineering; Computer science; Component (thermodynamics); Transmission line; Solver; Engineering; Structural engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.019558289458092203,"score_gpt":0.3090610648234834,"score_spread":0.2895027753653912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597150170","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":[0.10158756,0.00013660679,0.8966815,0.00004838003,0.0006175501,0.0004790513,0.00032746416,0.000068140915,0.000053786614],"genre_scores_gemma":[0.93654317,0.0000046401033,0.063149475,0.00001575243,0.00015870035,0.000017415598,0.000043781944,0.00003239071,0.000034664805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970374,0.00013560297,0.00085921364,0.00077457685,0.00078198063,0.00041121794],"domain_scores_gemma":[0.9935945,0.0043155276,0.00041962066,0.0011156305,0.00032494366,0.00022977783],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014223575,0.0004151184,0.0009816525,0.0004948284,0.00045020788,0.0003414924,0.0007416979,0.0003519114,0.00012834708],"category_scores_gemma":[0.016282232,0.00028004532,0.00022578648,0.00045857142,0.0002431721,0.00018784495,0.00007337746,0.0006128442,3.6022257e-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":[0.00017682841,0.000005470669,0.001920189,0.0001791709,0.00014529277,0.0000020375878,0.00018881931,0.94327307,0.0002667084,0.045853,0.0000327365,0.007956668],"study_design_scores_gemma":[0.0003499268,0.00021477412,0.066797495,0.000097780554,0.000389111,0.000003074175,0.00003670013,0.87734115,0.00009742966,0.05370708,0.0006789481,0.00028651755],"about_ca_topic_score_codex":0.000009645394,"about_ca_topic_score_gemma":6.5394335e-7,"teacher_disagreement_score":0.83495563,"about_ca_system_score_codex":0.00005878283,"about_ca_system_score_gemma":0.00007498797,"threshold_uncertainty_score":0.9999652},"labels":[],"label_agreement":null},{"id":"W2751056490","doi":"10.1080/15732479.2017.1373132","title":"Selection of spectrum-compatible accelerograms for seismic analysis of bridges","year":2017,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Seismic analysis; Bridge (graph theory); Response spectrum; Engineering; Structural engineering","score_opus":0.005183218097914383,"score_gpt":0.21456067593662592,"score_spread":0.20937745783871153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751056490","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":[0.95762086,0.00018452747,0.041676883,0.000011699987,0.00019535123,0.00009981595,0.00009552573,0.00006223255,0.00005312986],"genre_scores_gemma":[0.9970251,0.00012435895,0.0026500113,0.0000070934807,0.00012123224,0.0000044625717,0.00003738044,0.000024012848,0.0000064041874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991961,0.0000026593725,0.0002975663,0.00016815569,0.00011460581,0.00022090439],"domain_scores_gemma":[0.999451,0.000023227014,0.00013506957,0.00029068187,0.00004771672,0.00005230969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049942042,0.0002047956,0.0005196934,0.00039916567,0.00009427929,0.000047026755,0.00021474251,0.000114007715,0.000041248808],"category_scores_gemma":[0.000021220387,0.00018951204,0.00016923815,0.00031965904,0.00004569404,0.00023477734,0.000027643431,0.00013492815,7.5413524e-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":[0.0000085964475,0.0000021243552,0.035952784,0.00024589995,0.0012159556,1.9992116e-7,0.00016285724,0.91447836,0.03714906,0.00011487339,0.000059686496,0.010609628],"study_design_scores_gemma":[0.0001876426,0.00002640207,0.22869542,0.000025512949,0.00052564597,0.0000023706884,0.000021663203,0.6955786,0.074346066,0.00013616926,0.0003108626,0.00014366944],"about_ca_topic_score_codex":0.000048233574,"about_ca_topic_score_gemma":0.000022749353,"teacher_disagreement_score":0.21889977,"about_ca_system_score_codex":0.000023239389,"about_ca_system_score_gemma":0.000009039686,"threshold_uncertainty_score":0.77280766},"labels":[],"label_agreement":null},{"id":"W2770110644","doi":"10.1080/15732479.2017.1402064","title":"Application of Markov chains and Monte Carlo simulations for developing pavement performance models for urban network management","year":2017,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Fondo de Fomento al Desarrollo Científico y Tecnológico; Consejo Nacional de Innovación, Ciencia y Tecnología","keywords":"Interurban; Service life; Environmental science; Transport engineering; Monte Carlo method; Asphalt; Probabilistic logic; Civil engineering; Computer science; Engineering; Reliability engineering; Geography","score_opus":0.004878707454042858,"score_gpt":0.2008368576532977,"score_spread":0.19595815019925483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770110644","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":[0.40026933,0.0004051126,0.5973061,0.000021795506,0.0007587811,0.0009604325,0.00012141716,0.00009293522,0.00006413412],"genre_scores_gemma":[0.9071567,0.00013626415,0.09197752,0.000016132222,0.0005314992,0.000086527485,0.000026178459,0.000054159103,0.0000149923335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988783,0.0000026732484,0.00031899472,0.00027937113,0.00011181062,0.00040882456],"domain_scores_gemma":[0.99934554,0.000037074096,0.00011596962,0.0003522495,0.00008222602,0.00006692148],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000076705466,0.00031117807,0.00031775128,0.00009822727,0.00035198918,0.000081716724,0.00019862574,0.00014057301,9.974963e-7],"category_scores_gemma":[0.00001272312,0.00029832937,0.000050644303,0.000059850852,0.00004339651,0.0003181325,0.00008158302,0.00013961447,2.1504226e-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":[0.000016978873,7.615083e-7,0.002604707,0.0010765063,0.00012842339,2.543786e-7,0.0002953733,0.9564644,0.0021914341,0.009484324,0.00014133845,0.02759549],"study_design_scores_gemma":[0.000685205,0.00003592206,0.037520334,0.00015642573,0.000070278256,0.000004516626,0.000039390117,0.9519752,0.003302617,0.0026424795,0.0032079623,0.0003596489],"about_ca_topic_score_codex":0.0000040197147,"about_ca_topic_score_gemma":0.00000544197,"teacher_disagreement_score":0.5068874,"about_ca_system_score_codex":0.000064365006,"about_ca_system_score_gemma":0.000009678408,"threshold_uncertainty_score":0.9999469},"labels":[],"label_agreement":null},{"id":"W2792131322","doi":"10.1080/15732479.2018.1433692","title":"Value of information-based decision analysis of the optimal next inspection type for deteriorating structural systems","year":2018,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; University of Calgary","keywords":"Value of information; Value (mathematics); Reliability engineering; Decision analysis; Computer science; Engineering; Operations research; Statistics; Mathematics; Artificial intelligence","score_opus":0.014365360598286055,"score_gpt":0.2699036431258836,"score_spread":0.2555382825275975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792131322","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":[0.57710105,0.000059755388,0.42161998,0.0000047762724,0.0009314039,0.00017679637,0.000077675206,0.000022078812,0.0000064884885],"genre_scores_gemma":[0.94567955,0.0000011487921,0.054146264,0.000014871084,0.00012933281,0.0000030887434,0.000013466057,0.00001007773,0.0000022064992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982276,0.00003078919,0.00078671565,0.00022258716,0.0005372585,0.00019502787],"domain_scores_gemma":[0.99787277,0.00057268457,0.00039453854,0.00044085554,0.00065689953,0.000062268504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003475857,0.00020351414,0.00045649335,0.00052765186,0.00015353585,0.00012613101,0.00042964163,0.00014102677,0.000023629987],"category_scores_gemma":[0.0021645548,0.00012239574,0.00014243594,0.0020270105,0.000127087,0.00039316292,0.000074279626,0.00014281341,2.400793e-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":[0.00004595658,8.174279e-7,0.0047879666,0.00004564143,0.00011104014,5.144847e-8,0.00041957013,0.9847292,0.0042778975,0.0020276054,0.00008440391,0.0034698804],"study_design_scores_gemma":[0.00021085102,0.000098726596,0.12825008,0.00003413473,0.0001631832,0.0000036398717,0.00010539969,0.8681958,0.0020185853,0.00052752835,0.00026851796,0.00012360787],"about_ca_topic_score_codex":0.000014343478,"about_ca_topic_score_gemma":0.0000062266136,"teacher_disagreement_score":0.3685785,"about_ca_system_score_codex":0.000038725997,"about_ca_system_score_gemma":0.000075766584,"threshold_uncertainty_score":0.49911532},"labels":[],"label_agreement":null},{"id":"W2794174441","doi":"10.1080/15732479.2018.1433693","title":"An economic loss model for failure of sewer pipelines","year":2018,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Qatar University; Qatar National Research Fund; Concordia University","keywords":"Pipeline transport; Economic cost; Dam failure; Cost–benefit analysis; Total cost; Engineering; Work (physics); Reliability engineering; Computer science; Environmental science; Forensic engineering; Environmental engineering; Economics","score_opus":0.0028007729139638855,"score_gpt":0.2015141137848689,"score_spread":0.198713340870905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794174441","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":[0.79068345,0.00013718528,0.20669949,0.00001433602,0.0015932763,0.00025625556,0.00025248426,0.00026647781,0.00009705772],"genre_scores_gemma":[0.94494617,0.00002044713,0.05307684,0.000027084972,0.0017766648,0.000011578303,0.00003623279,0.000092778464,0.000012200575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872035,0.000004755746,0.00038208,0.00032026373,0.00010765212,0.0004648813],"domain_scores_gemma":[0.9993015,0.00002596746,0.000059756614,0.00035434522,0.000113924034,0.00014451762],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006366671,0.00040161493,0.0004024542,0.0001843962,0.0000848833,0.00004893023,0.00024826877,0.00022069097,0.000048988335],"category_scores_gemma":[0.000018979477,0.00036598736,0.00007878347,0.00010020665,0.00010941465,0.0003769401,0.00003471616,0.00023770894,8.630767e-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":[0.000028474537,0.000001744103,0.000989016,0.0002774255,0.00008584774,0.0000012377283,0.00094368606,0.8662393,0.122342646,0.003165934,0.0015024517,0.0044222055],"study_design_scores_gemma":[0.00048766617,0.000095828895,0.0019353321,0.00004817501,0.00004272178,0.000047141915,0.00006705535,0.9086825,0.08125194,0.0035325726,0.003345097,0.0004639722],"about_ca_topic_score_codex":0.0000036005922,"about_ca_topic_score_gemma":0.000017904114,"teacher_disagreement_score":0.15426272,"about_ca_system_score_codex":0.000060578903,"about_ca_system_score_gemma":0.00003286198,"threshold_uncertainty_score":0.9998792},"labels":[],"label_agreement":null},{"id":"W2912946025","doi":"10.1080/15732479.2018.1562479","title":"Condition evaluation of suspension bridges for maintenance, repair and rehabilitation: a comprehensive framework","year":2019,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Power Generation; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Variable (mathematics); Analytic hierarchy process; Reliability engineering; Bridge (graph theory); Computer science; Engineering; Operations research; Mathematics; Medicine","score_opus":0.004438499988633939,"score_gpt":0.22849612700944116,"score_spread":0.22405762702080723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912946025","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":[0.989319,0.0008079999,0.007165159,0.000024990271,0.001481507,0.000825893,0.00007356666,0.00018782425,0.00011401441],"genre_scores_gemma":[0.96629643,0.0000584292,0.033230435,0.000025222856,0.00026947042,0.000025281906,0.000041781794,0.0000478525,0.000005082387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987663,0.000019332776,0.00034151363,0.00031053057,0.0002675928,0.00029474904],"domain_scores_gemma":[0.9990119,0.00025410837,0.00007710317,0.00024968473,0.00033356852,0.0000736584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015898499,0.0002968629,0.00038865753,0.00018048873,0.000054053307,0.000028771583,0.00007249856,0.00023034969,0.00004465235],"category_scores_gemma":[0.0001775721,0.0002730482,0.00008150307,0.0001564849,0.00006747005,0.00024380488,0.000035056157,0.0002721359,3.9893115e-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":[0.00013113345,0.000006011866,0.020653483,0.0037545864,0.00034097413,0.000002032374,0.003194718,0.75061756,0.16220483,0.03584539,0.0026883837,0.020560894],"study_design_scores_gemma":[0.0029116045,0.0004364419,0.43685177,0.0011474824,0.00028769922,0.00012021531,0.0013954956,0.48500156,0.020865593,0.040011127,0.009940042,0.0010309861],"about_ca_topic_score_codex":0.0000034142472,"about_ca_topic_score_gemma":0.0000014015687,"teacher_disagreement_score":0.41619828,"about_ca_system_score_codex":0.000083540726,"about_ca_system_score_gemma":0.000021809285,"threshold_uncertainty_score":0.99997216},"labels":[],"label_agreement":null},{"id":"W2944074362","doi":"10.1080/15732479.2019.1585461","title":"Optimum design of a non-conventional multiple tuned mass damper for a complex power plant structure","year":2019,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Tuned mass damper; Robustness (evolution); Simulated annealing; Stiffness; Control theory (sociology); Structural engineering; Base isolation; Engineering; Damper; Torsion (gastropod); Mathematical optimization; Computer science; Mathematics","score_opus":0.005161254312408763,"score_gpt":0.18104553208008464,"score_spread":0.17588427776767587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944074362","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":[0.32657936,0.0002520042,0.6700982,0.000027066122,0.0010411813,0.0008381581,0.0009146599,0.00016755259,0.00008182266],"genre_scores_gemma":[0.9238946,0.0000108070435,0.075595655,0.00005396344,0.00015071734,0.000014337936,0.00021011967,0.00004935261,0.000020477915],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987251,0.000012992048,0.00039569882,0.00030198303,0.00019098859,0.00037322202],"domain_scores_gemma":[0.9993735,0.0001533113,0.00005622637,0.00022076734,0.00007521908,0.000120987526],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000060619317,0.00037758177,0.0004998245,0.00014755921,0.000053324373,0.00004142189,0.00018838386,0.0002963045,0.0007944068],"category_scores_gemma":[0.00004336039,0.00030240524,0.000108712644,0.00014983777,0.00004090266,0.00018607153,0.000033858647,0.000282412,0.0000013635496],"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":[0.00005579996,0.0000017643928,0.0007666153,0.00016387069,0.00010414321,9.1125713e-7,0.0000872102,0.40312746,0.59403336,0.00094497146,0.00053799816,0.00017586924],"study_design_scores_gemma":[0.002162976,0.00018609875,0.033261098,0.00005232789,0.00003846144,0.00003387829,0.000033422974,0.9352784,0.02459242,0.0013693242,0.0025045583,0.0004870039],"about_ca_topic_score_codex":0.0000010318172,"about_ca_topic_score_gemma":5.407398e-7,"teacher_disagreement_score":0.5973152,"about_ca_system_score_codex":0.000030425372,"about_ca_system_score_gemma":0.00002169957,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W3016425095","doi":"10.1080/15732479.2020.1752262","title":"A post-tensioned self-centering yielding brace system: development and performance-based seismic analysis","year":2020,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Brace; Bracing; Residual; Structural engineering; Braced frame; Seismic analysis; Engineering; Frame (networking); Diagonal; Computer science; Mechanical engineering","score_opus":0.0030490149123909628,"score_gpt":0.15384183120755807,"score_spread":0.1507928162951671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016425095","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":[0.9640784,0.00052582857,0.034366507,0.000058284942,0.0001593739,0.00010935265,0.000019643121,0.00064520305,0.000037358717],"genre_scores_gemma":[0.98770815,0.00006157601,0.011659288,0.00029349374,0.00017006155,0.0000061263027,0.000050504023,0.000048870435,0.0000019289732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986386,0.000007908485,0.00037510853,0.0003679603,0.0002069933,0.00040347126],"domain_scores_gemma":[0.999448,0.000023664697,0.00005341622,0.00017672287,0.00004832408,0.00024987126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000055039432,0.00041602107,0.00051877095,0.00036324275,0.00017628293,0.00010607519,0.00014246721,0.00016047871,0.000024123186],"category_scores_gemma":[0.000012085301,0.00038107546,0.000086379274,0.00073391927,0.000018620909,0.00028230285,0.00006717262,0.0003602424,0.0000017431353],"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":[0.000016929967,0.0000015808669,0.01070013,0.0012070023,0.00085662317,0.000013253334,0.0018019474,0.96155256,0.0152571425,0.000013301594,0.000028490558,0.008551061],"study_design_scores_gemma":[0.00034691952,0.00003303678,0.030710522,0.000083273226,0.00038782723,0.00002780089,0.00021952626,0.95465386,0.011662147,7.2904567e-7,0.0014456328,0.0004287191],"about_ca_topic_score_codex":0.0000042816628,"about_ca_topic_score_gemma":0.0000013981195,"teacher_disagreement_score":0.023629703,"about_ca_system_score_codex":0.000080453225,"about_ca_system_score_gemma":0.000026146887,"threshold_uncertainty_score":0.9998641},"labels":[],"label_agreement":null},{"id":"W3126926253","doi":"10.1080/15732479.2020.1851730","title":"A novel robustness index for progressive collapse analysis of structures considering the full risk spectrum of damage evolution","year":2021,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Progressive collapse; Robustness (evolution); Computer science; Reliability engineering; Truss bridge; Truss; Engineering; Structural engineering","score_opus":0.0034071010787657193,"score_gpt":0.19906089947424405,"score_spread":0.19565379839547833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126926253","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":[0.8333419,0.0013290806,0.16356713,0.000018578121,0.0004883247,0.00035806437,0.00077870616,0.000096929776,0.000021320675],"genre_scores_gemma":[0.98280483,0.000039327057,0.016852926,0.000007241362,0.00013318849,0.000017308601,0.000075824435,0.00006345467,0.0000058710234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981319,0.000036868034,0.00064730307,0.00039689266,0.00033299514,0.00045407913],"domain_scores_gemma":[0.9984294,0.00040222358,0.00027074764,0.0005574472,0.00023003599,0.00011011407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012695976,0.0004683331,0.00082782016,0.00049603026,0.000115284165,0.000057784837,0.0002871208,0.00028416194,0.0001063228],"category_scores_gemma":[0.0004165091,0.00036662578,0.00025983926,0.0015470559,0.00018023295,0.00017430559,0.000113544476,0.0004703053,3.6715708e-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":[0.00007188126,0.00000253998,0.0027843532,0.0003104541,0.0015368146,0.000004497705,0.00041892452,0.85921603,0.13239455,0.002265895,0.000021554268,0.00097248965],"study_design_scores_gemma":[0.00082826125,0.00004976255,0.22341146,0.00005971051,0.001116653,0.00011669525,0.00032722816,0.7349109,0.037136625,0.0015531715,0.00008923053,0.00040032843],"about_ca_topic_score_codex":0.000020178304,"about_ca_topic_score_gemma":0.00008306084,"teacher_disagreement_score":0.2206271,"about_ca_system_score_codex":0.00011724142,"about_ca_system_score_gemma":0.00010333609,"threshold_uncertainty_score":0.9998786},"labels":[],"label_agreement":null},{"id":"W3162993720","doi":"10.1080/15732479.2020.1832538","title":"Development of a civil infrastructure resilience assessment framework and its application to a nuclear power plant","year":2020,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fragility; Resilience (materials science); Risk analysis (engineering); Process (computing); Upgrade; Event (particle physics); Computer science; Engineering; Business","score_opus":0.003012795481219563,"score_gpt":0.20246316212484386,"score_spread":0.1994503666436243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162993720","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":[0.8577446,0.00036391016,0.14053412,0.00016797222,0.00018156262,0.000442528,0.000115543626,0.00024706282,0.0002027316],"genre_scores_gemma":[0.933616,0.000040403436,0.065885045,0.00023548184,0.00013068653,0.00001312231,0.000020861744,0.00005768673,7.3536035e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979737,0.000018438444,0.00059748796,0.00056154287,0.00039051333,0.0004583157],"domain_scores_gemma":[0.9990532,0.00005813567,0.00009229736,0.00029426735,0.00006564028,0.00043649258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009447594,0.0004987237,0.00058770995,0.00021612558,0.00015145053,0.00007058427,0.00032221086,0.0003220524,0.00016858996],"category_scores_gemma":[0.00010235099,0.0004571899,0.00006333044,0.0006840368,0.00005567526,0.00025936062,0.00017568382,0.00071993907,0.0000019256217],"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":[0.000049978276,0.0000060007046,0.002097928,0.00096618093,0.00024778288,0.000006465763,0.011433702,0.61356956,0.33907643,0.017508091,0.00034297293,0.014694948],"study_design_scores_gemma":[0.0010188444,0.00034039762,0.2376299,0.00044992802,0.0002217493,0.00013369453,0.0016549338,0.6582313,0.039156277,0.0037797985,0.05476927,0.0026138634],"about_ca_topic_score_codex":0.000001459585,"about_ca_topic_score_gemma":0.000006539584,"teacher_disagreement_score":0.29992014,"about_ca_system_score_codex":0.00008283615,"about_ca_system_score_gemma":0.0000558953,"threshold_uncertainty_score":0.999788},"labels":[],"label_agreement":null},{"id":"W3166254042","doi":"10.1080/15732479.2021.1914115","title":"Implementing bridge model updating for operation and maintenance purposes: examination based on UK practitioners’ views","year":2021,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Engineering and Physical Sciences Research Council","keywords":"Bridge (graph theory); Key (lock); Computer science; Construction engineering; Engineering; Risk analysis (engineering); Computer security; Business","score_opus":0.013339950462016834,"score_gpt":0.2684991896012251,"score_spread":0.25515923913920824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166254042","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":[0.7176943,0.00030367763,0.27970934,0.00010311616,0.0006339605,0.00065506436,0.00017766841,0.00047858045,0.00024431746],"genre_scores_gemma":[0.8766454,0.00006655927,0.12260911,0.00012583374,0.00027310767,0.000053106807,0.00016325756,0.00005647843,0.0000071588497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986739,0.000018914116,0.00034642642,0.00035705467,0.00016338615,0.00044029803],"domain_scores_gemma":[0.99941736,0.00009971852,0.00007090699,0.00021453356,0.00009522545,0.00010227802],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001752754,0.00031466834,0.00026303562,0.0001378087,0.00021001561,0.00013621405,0.00007780336,0.0001643013,0.00002277927],"category_scores_gemma":[0.0001243824,0.00031180223,0.00003830331,0.00013391374,0.000018807514,0.00029037427,0.00004394046,0.0003236526,1.4745154e-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":[0.000018710269,0.000003245089,0.0008181043,0.001268604,0.000049138373,0.0000067692063,0.0008748976,0.79402274,0.075403444,0.00709399,0.0010378904,0.11940248],"study_design_scores_gemma":[0.00046827653,0.000046251822,0.03511719,0.00014826047,0.000024664081,0.000042615593,0.000069439564,0.93308693,0.027634788,0.0011680084,0.001829141,0.00036445988],"about_ca_topic_score_codex":0.0000031355326,"about_ca_topic_score_gemma":0.0000071429604,"teacher_disagreement_score":0.1589511,"about_ca_system_score_codex":0.00012721946,"about_ca_system_score_gemma":0.000033411787,"threshold_uncertainty_score":0.9999334},"labels":[],"label_agreement":null},{"id":"W3213983338","doi":"10.1080/15732479.2021.2003409","title":"Class-A prediction of three-sided reinforced concrete culverts and numerical investigation of the supporting strip footing geometry effect","year":2021,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Culvert; Lateral earth pressure; Structural engineering; Geotechnical engineering; Finite element method; Strain gauge; Engineering; Span (engineering); Foundation (evidence); Arch; Instrumentation (computer programming); Geology; Geometry; Mathematics; Computer science","score_opus":0.0030591412451228886,"score_gpt":0.1713858200401466,"score_spread":0.16832667879502372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213983338","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":[0.9792998,0.00055058853,0.019131094,0.000022043847,0.000553975,0.00017229498,0.00005664425,0.00016359871,0.000049994353],"genre_scores_gemma":[0.9973871,0.000021289094,0.0023867618,0.000014052704,0.00011199117,0.00000360565,0.00002926165,0.000041518142,0.000004397801],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986063,0.000024654944,0.0005416326,0.0002546126,0.00026766775,0.0003050868],"domain_scores_gemma":[0.9991941,0.000193784,0.00013177119,0.00029086648,0.00007462306,0.00011485552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000120740326,0.00032279541,0.0004700859,0.000120756835,0.00007249912,0.000035505316,0.00013081827,0.000294861,0.000015946314],"category_scores_gemma":[0.00042664367,0.00025395837,0.00009666027,0.00049152854,0.000087550696,0.00015814522,0.00010153797,0.000560669,3.7934704e-8],"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":[0.000008390608,1.8470239e-7,0.00918471,0.00082061585,0.00012685965,0.000002632222,0.00019632117,0.46408322,0.5220128,0.0016223534,0.00004084421,0.0019010415],"study_design_scores_gemma":[0.0007217826,0.00009290028,0.21684732,0.00033169048,0.00012263938,0.00018597992,0.000049171907,0.4330146,0.3472584,0.0009051814,0.00013298301,0.00033738633],"about_ca_topic_score_codex":0.000009293002,"about_ca_topic_score_gemma":0.0000010033967,"teacher_disagreement_score":0.2076626,"about_ca_system_score_codex":0.000037085494,"about_ca_system_score_gemma":0.000030379666,"threshold_uncertainty_score":0.99999124},"labels":[],"label_agreement":null},{"id":"W4224262495","doi":"10.1080/15732479.2022.2063905","title":"Simulation of concrete structures deformation affected by alkali–silica reaction considering environmental conditions and multiaxial stress state","year":2022,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":7,"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":"Council for Science, Technology and Innovation; Japan Science and Technology Corporation; Swine Innovation Porc","keywords":"Slab; Relative humidity; Materials science; Deformation (meteorology); Stress (linguistics); Structural engineering; Alkali–silica reaction; Dependency (UML); Girder; Composite material; Computer science; Engineering; Thermodynamics","score_opus":0.002996763328078512,"score_gpt":0.19553481242231935,"score_spread":0.19253804909424083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224262495","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":[0.996401,0.0004028825,0.0007935602,0.0000057020466,0.00028866797,0.0003008068,0.0016742691,0.00011946517,0.000013632133],"genre_scores_gemma":[0.99888223,0.000076232966,0.00025356712,0.000011167369,0.00005551053,0.000018677576,0.00066137826,0.00003810451,0.000003135304],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890846,0.000038933227,0.00031387052,0.00020992705,0.00026803598,0.0002607886],"domain_scores_gemma":[0.99959487,0.000079092366,0.00007552007,0.00014148754,0.000015731564,0.00009329143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006307181,0.0002477637,0.0002571842,0.00016771368,0.00018083488,0.000049306487,0.0000800668,0.00008071992,0.00033352716],"category_scores_gemma":[0.000021962198,0.00026140065,0.000031029922,0.00011459609,0.000060810147,0.00028750222,0.00010383321,0.0003183203,1.8530999e-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":[0.000015486437,6.2838853e-7,0.00032243127,0.000107734304,0.00004941903,0.0000011952851,0.00041959796,0.36723682,0.63066715,0.00002808904,0.00004487517,0.0011065629],"study_design_scores_gemma":[0.0013749114,0.00016695951,0.038081236,0.000030923908,0.00006319732,0.00006477839,0.0005419092,0.6859995,0.27086976,0.00037799415,0.0018328174,0.0005959914],"about_ca_topic_score_codex":0.000017344479,"about_ca_topic_score_gemma":0.0000016277245,"teacher_disagreement_score":0.3597974,"about_ca_system_score_codex":0.00008528169,"about_ca_system_score_gemma":0.000010098477,"threshold_uncertainty_score":0.99998385},"labels":[],"label_agreement":null},{"id":"W4226516569","doi":"10.1080/15732479.2022.2059525","title":"Risk-based life-cycle analysis of highway bridge networks under budget constraints","year":2022,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Transport engineering; Budget constraint; Engineering; Computer science; Risk analysis (engineering); Operations research; Business; Economics","score_opus":0.0024837316044777655,"score_gpt":0.178774910837292,"score_spread":0.17629117923281423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226516569","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":[0.870981,0.000802572,0.1249169,0.00001619334,0.0019031657,0.00021624361,0.0006290903,0.00036681234,0.00016805406],"genre_scores_gemma":[0.9965839,0.000042037747,0.0026993488,0.00010923442,0.00029786385,0.000018690365,0.00016146176,0.00008374169,0.000003742834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980344,0.00004405852,0.0005422096,0.00040693695,0.00036759477,0.0006047949],"domain_scores_gemma":[0.99900067,0.00011495257,0.00016072078,0.00044071805,0.00006369192,0.00021923671],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015500843,0.00048765948,0.0007197863,0.00069599575,0.00023780279,0.000050827606,0.00032162393,0.00018520732,0.0005993986],"category_scores_gemma":[0.000047001144,0.0004884569,0.00022607615,0.0013420383,0.00012301674,0.00013937092,0.00012963395,0.0010284892,2.512312e-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":[0.000017614784,0.000003384962,0.009067965,0.00006081973,0.000977572,0.0000066626335,0.00021213497,0.98229504,0.0027242275,0.00074320094,0.00030836195,0.003582995],"study_design_scores_gemma":[0.0005588637,0.000050572664,0.31716794,0.000015101152,0.0006449193,0.00001795461,0.0001061361,0.6783761,0.0011254962,0.00030576132,0.0011125952,0.00051860523],"about_ca_topic_score_codex":0.000028304625,"about_ca_topic_score_gemma":0.000008092751,"teacher_disagreement_score":0.30809996,"about_ca_system_score_codex":0.00014026945,"about_ca_system_score_gemma":0.000049456725,"threshold_uncertainty_score":0.9997567},"labels":[],"label_agreement":null},{"id":"W4311648191","doi":"10.1080/15732479.2022.2152842","title":"A preliminary investigation of the potential benefits of using the ASTRA Bridge for short-span bridge deck refurbishment projects in Switzerland","year":2022,"lang":"en","type":"article","venue":"Structure and Infrastructure 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":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Bridge (graph theory); ASTRA; Engineering; Deck; Span (engineering); Bridge deck; Transport engineering; Forensic engineering; Civil engineering; Structural engineering","score_opus":0.010204051503058755,"score_gpt":0.20620985474947565,"score_spread":0.1960058032464169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311648191","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":[0.9955648,0.0005573031,0.0016682901,0.000025934187,0.0011976219,0.0007506708,0.00018922107,0.000039460712,0.000006700819],"genre_scores_gemma":[0.9975922,0.000015856182,0.0019963302,0.000020009007,0.00025668068,0.00004221934,0.000022527407,0.0000527558,0.0000013905568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985527,0.00003021169,0.00048844196,0.00024822223,0.00030699035,0.00037343687],"domain_scores_gemma":[0.99940753,0.00004595818,0.000116961004,0.0003202535,0.000059977596,0.000049319788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016217305,0.00030055564,0.0003338503,0.0001736205,0.0001662746,0.000024449895,0.000332294,0.000109737666,0.000007121855],"category_scores_gemma":[0.000031746244,0.0002170561,0.00010252914,0.0004244805,0.00007474708,0.00013906794,0.00017987669,0.0005240923,8.9836405e-9],"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":[0.000046837264,0.0000022835784,0.022330318,0.00031912257,0.000054106175,0.0000012833593,0.0018652633,0.86968386,0.103221215,0.00018104611,0.000078051264,0.0022165852],"study_design_scores_gemma":[0.00048823006,0.000101440346,0.90944237,0.00013922068,0.00006824983,0.00011467797,0.0002503507,0.05094543,0.037594233,0.00047005614,0.00012687525,0.0002588837],"about_ca_topic_score_codex":0.000033804663,"about_ca_topic_score_gemma":0.000010252112,"teacher_disagreement_score":0.887112,"about_ca_system_score_codex":0.00012334745,"about_ca_system_score_gemma":0.00005812556,"threshold_uncertainty_score":0.8851291},"labels":[],"label_agreement":null},{"id":"W4384824039","doi":"10.1080/15732479.2023.2236599","title":"Mapping the chloride-induced corrosion damage risks for bridge decks under climate change","year":2023,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Corrosion; Bridge (graph theory); Durability; Environmental science; Climate change; Computer science; Projection (relational algebra); Reinforced concrete; Structural engineering; Engineering; Forensic engineering; Materials science; Geology","score_opus":0.04613867872579489,"score_gpt":0.25755267453888975,"score_spread":0.21141399581309486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384824039","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":[0.9863742,0.00020686942,0.008937052,0.00015918877,0.0025116673,0.00066163036,0.0001810543,0.00090611016,0.00006225537],"genre_scores_gemma":[0.998395,0.00018840891,0.00035489284,0.00016548074,0.00064807845,0.00007482426,0.00008255419,0.00008384314,0.000006891878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985358,0.000013871601,0.0003157645,0.00034466092,0.0001815713,0.000608329],"domain_scores_gemma":[0.99920195,0.00015927601,0.00004570117,0.00039669682,0.00004977382,0.00014657046],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018920496,0.00038544438,0.00031723053,0.0001935244,0.00025627055,0.00011648598,0.00023926269,0.0002286603,0.00004716737],"category_scores_gemma":[0.00007741405,0.00029364784,0.000107420354,0.00055394194,0.00003595283,0.00021825626,0.00013322924,0.00046051003,0.0000059559834],"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":[0.00014871202,0.0000055638,0.011702818,0.0024754736,0.00013802222,0.000030297435,0.009565428,0.15624736,0.7016977,0.0065147374,0.0070947725,0.104379125],"study_design_scores_gemma":[0.0008656017,0.000044360517,0.6006329,0.00013176994,0.000044073447,0.000048358266,0.00042655846,0.37076953,0.015882025,0.0015154335,0.008858588,0.0007808268],"about_ca_topic_score_codex":0.000009675418,"about_ca_topic_score_gemma":0.00001143646,"teacher_disagreement_score":0.6858157,"about_ca_system_score_codex":0.000060524708,"about_ca_system_score_gemma":0.000010676245,"threshold_uncertainty_score":0.99995154},"labels":[],"label_agreement":null},{"id":"W4386028216","doi":"10.1080/15732479.2023.2248100","title":"Characterization of interface properties for modeling the shear behavior of T-beams strengthened with ultra high-performance concrete","year":2023,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Materials science; Stiffness; Structural engineering; Shear (geology); Parametric statistics; Ultimate tensile strength; Finite element method; Failure mode and effects analysis; Interface model; Composite material; Ultimate load; Engineering; Computer science","score_opus":0.00704403305622521,"score_gpt":0.1874208263113938,"score_spread":0.1803767932551686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386028216","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":[0.980048,0.000033616154,0.018824806,0.000006474432,0.00030357027,0.0004934144,0.00014645967,0.00013538593,0.000008263013],"genre_scores_gemma":[0.99859196,0.00005301388,0.0010740268,0.0000045817815,0.00008275796,0.000045403118,0.00009127269,0.00005143131,0.000005527574],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991318,0.0000065763033,0.00036214472,0.00013409497,0.00013979991,0.00022556963],"domain_scores_gemma":[0.9995737,0.000022859056,0.00008299482,0.00017342581,0.00012267724,0.000024334877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082689316,0.00023002959,0.00030640903,0.0001279999,0.000045444176,0.000024620966,0.00013936665,0.0000910552,0.000013554371],"category_scores_gemma":[0.000018350593,0.00015094086,0.000023050554,0.0002766933,0.000053933047,0.00020919398,0.000024662924,0.00012544975,1.5875173e-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":[0.000024290353,1.0843273e-7,0.00007451723,0.00041885267,0.000044196608,9.912248e-8,0.00040394612,0.34976852,0.6486004,0.00017535167,0.0000018121596,0.00048791445],"study_design_scores_gemma":[0.00026253864,0.00007551973,0.0016836224,0.00012685699,0.000030774663,0.0000036100312,0.00006248985,0.29139894,0.70616776,0.000005330485,0.000045362412,0.00013720813],"about_ca_topic_score_codex":0.000003146978,"about_ca_topic_score_gemma":1.527578e-7,"teacher_disagreement_score":0.05836959,"about_ca_system_score_codex":0.00001856708,"about_ca_system_score_gemma":0.000014048958,"threshold_uncertainty_score":0.615519},"labels":[],"label_agreement":null},{"id":"W4386995388","doi":"10.1080/15732479.2023.2261434","title":"Photoelectric sensors for wireless monitoring of bridge scour – laboratory investigation and field validation","year":2023,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Pier; Flume; Bridge scour; Engineering; Bridge (graph theory); Marine engineering; Civil engineering; Flow (mathematics)","score_opus":0.004826927069883416,"score_gpt":0.20178009892307153,"score_spread":0.1969531718531881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386995388","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":[0.9982969,0.00004698823,0.0012451444,0.00005150022,0.00014317966,0.00012877097,0.000020505155,0.00005328568,0.000013699375],"genre_scores_gemma":[0.99886745,0.000058375048,0.00093191006,0.000025054986,0.00006409155,0.0000064970236,0.000024021056,0.0000113394135,0.000011237872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945074,0.000006446952,0.00013120791,0.00017334988,0.00009033341,0.000147902],"domain_scores_gemma":[0.9997719,0.00006122026,0.00004273431,0.00006396339,0.0000104967085,0.00004968785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069448324,0.0001116731,0.00012128383,0.00006896924,0.0000615358,0.000010821496,0.00004925188,0.00010962383,0.000045944205],"category_scores_gemma":[0.000034552773,0.00010529356,0.000013418491,0.00029162836,0.000040016057,0.00016804032,0.000017761122,0.00010698212,6.65858e-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":[0.000023052608,0.0000014822359,0.36920688,0.00025647847,0.000028665143,0.0000023699686,0.0009205003,0.038054083,0.586745,0.00010104754,0.00043952634,0.0042208685],"study_design_scores_gemma":[0.00025015505,0.00006715512,0.43310347,0.00002552983,0.000025481628,0.000005665857,0.000021467344,0.0068101077,0.558325,0.0007226763,0.0004926624,0.00015061493],"about_ca_topic_score_codex":0.0000063216703,"about_ca_topic_score_gemma":0.0000011032037,"teacher_disagreement_score":0.0638966,"about_ca_system_score_codex":0.000010647684,"about_ca_system_score_gemma":0.0000068951326,"threshold_uncertainty_score":0.42937467},"labels":[],"label_agreement":null},{"id":"W4387180135","doi":"10.1080/15732479.2023.2261428","title":"Simulating non-homogeneous non-Gaussian corrosion fields on pipelines based on inline inspection data","year":2023,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Integrity and Reliability 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":"Western University","funders":"","keywords":"Corrosion; Pipeline transport; Gaussian; Autocorrelation; Homogeneous; Spatial analysis; Engineering; Field (mathematics); Structural engineering; Computer science; Materials science; Mathematics; Statistics; Statistical physics; Mechanical engineering; Metallurgy; Physics","score_opus":0.008092456965698826,"score_gpt":0.22926778644913712,"score_spread":0.2211753294834383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387180135","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":[0.978968,0.0000628452,0.016801173,0.00018608088,0.0021293089,0.00026982615,0.00026454567,0.0010800327,0.00023817064],"genre_scores_gemma":[0.99682426,0.000066467146,0.0013620368,0.00016871319,0.00085916097,0.0000050403937,0.0006186214,0.00007468264,0.00002101241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825513,0.000016285067,0.00042163598,0.0005160372,0.00033719343,0.00045370584],"domain_scores_gemma":[0.9986871,0.00022863326,0.00005772985,0.00081518356,0.00005162898,0.00015976508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011885354,0.00050475675,0.00044227307,0.00047586532,0.0002211845,0.00010978178,0.0003873216,0.00045301788,0.00007434726],"category_scores_gemma":[0.00021954118,0.00041106794,0.00009620306,0.00085779023,0.000049526756,0.00020602689,0.00011638625,0.0009849579,0.000009474512],"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":[0.000025082152,0.0000032003145,0.0005995695,0.00018281165,0.0000350318,0.000013920185,0.00017720778,0.98030454,0.010113672,0.000040220082,0.0011921796,0.007312572],"study_design_scores_gemma":[0.0003796643,0.00010693037,0.018265083,0.00016642419,0.000049998333,0.000014567165,0.00007663471,0.9730125,0.006317995,0.00020860706,0.0009510938,0.00045049732],"about_ca_topic_score_codex":0.00002593706,"about_ca_topic_score_gemma":0.000029593724,"teacher_disagreement_score":0.01785625,"about_ca_system_score_codex":0.000076948374,"about_ca_system_score_gemma":0.000018914985,"threshold_uncertainty_score":0.9998341},"labels":[],"label_agreement":null},{"id":"W4387663114","doi":"10.1080/15732479.2023.2266745","title":"Numerical study of precast segment columns with shear keys under vehicle collision","year":2023,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Response to Dynamic Loads","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":"Ministry of Education and Child Care","funders":"","keywords":"Precast concrete; Structural engineering; Shear (geology); Engineering; Collision; Geotechnical engineering; Computer science; Materials science; Composite material","score_opus":0.003826731243336213,"score_gpt":0.1949758124588012,"score_spread":0.19114908121546498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387663114","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":[0.9965513,0.00007858349,0.0018499534,0.00001674466,0.0004024651,0.00047203052,0.000039403778,0.00052179955,0.00006773132],"genre_scores_gemma":[0.99840444,0.000016924949,0.0013049222,0.0000106051075,0.000103432234,0.00001650094,0.000021313392,0.00009112988,0.00003070626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99839354,0.000026317406,0.00035497447,0.0003486716,0.00042015497,0.00045635542],"domain_scores_gemma":[0.99924827,0.00012545462,0.00005220371,0.00035214654,0.00005443594,0.00016746817],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006706028,0.00040056134,0.00044647238,0.00028108837,0.000081152815,0.000053113275,0.00020156756,0.00016592728,0.00007916086],"category_scores_gemma":[0.000034682893,0.00032621183,0.00004202753,0.00093303464,0.000046725374,0.0001742523,0.000077021534,0.0004088378,0.0000028411018],"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":[0.00006015498,0.000006023167,0.004552809,0.00012846095,0.00014953212,0.00001286263,0.00121686,0.9681113,0.023316536,0.0000762298,0.00020063852,0.0021686368],"study_design_scores_gemma":[0.0017437997,0.00058737164,0.594517,0.000084559695,0.00007611071,0.0000767773,0.0008127575,0.39153877,0.009350385,0.00018508214,0.00041582112,0.0006115831],"about_ca_topic_score_codex":0.000025715432,"about_ca_topic_score_gemma":0.000008047387,"teacher_disagreement_score":0.58996415,"about_ca_system_score_codex":0.00010194651,"about_ca_system_score_gemma":0.000026660296,"threshold_uncertainty_score":0.999919},"labels":[],"label_agreement":null},{"id":"W4392193629","doi":"10.1080/15732479.2024.2320686","title":"Damage detection for structural health monitoring using reinforcement and imitation learning","year":2024,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Structural health monitoring; Reinforcement; Imitation; Reinforcement learning; Computer science; Forensic engineering; Engineering; Risk analysis (engineering); Artificial intelligence; Structural engineering; Psychology; Business; Social psychology","score_opus":0.009566782830912642,"score_gpt":0.27266200814616004,"score_spread":0.26309522531524737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392193629","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":[0.94447273,0.004067403,0.047084026,0.000018157065,0.002566769,0.00047961183,0.000021917544,0.0012812892,0.000008117704],"genre_scores_gemma":[0.9686071,0.00026151992,0.030027287,0.00001178338,0.00094187487,0.00002222792,0.000019079336,0.000104781975,0.000004303841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853593,0.000015849333,0.00039756947,0.00036946026,0.000174624,0.0005065788],"domain_scores_gemma":[0.99950343,0.000094095914,0.000049391347,0.00014342969,0.00004319479,0.00016642646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012309576,0.00040385374,0.00031848744,0.00033116268,0.00026262237,0.00022389826,0.000087025044,0.0002007369,0.000004811436],"category_scores_gemma":[0.000043095017,0.00039019695,0.000051045878,0.00025692873,0.00003368866,0.00047405402,0.000046611487,0.00060023303,1.3012186e-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":[0.000022460872,3.962981e-7,0.0019425208,0.004328291,0.00014095186,0.0000050572235,0.0025823375,0.58771974,0.08828486,0.00095424056,0.000052528336,0.31396663],"study_design_scores_gemma":[0.00023927633,0.00013383594,0.0292672,0.00038297972,0.000035203673,0.00012763734,0.00014395833,0.94328654,0.022446899,0.0014321896,0.0020297237,0.00047458566],"about_ca_topic_score_codex":0.000025310082,"about_ca_topic_score_gemma":0.0000020938148,"teacher_disagreement_score":0.3555668,"about_ca_system_score_codex":0.0003106481,"about_ca_system_score_gemma":0.000029468067,"threshold_uncertainty_score":0.999855},"labels":[],"label_agreement":null},{"id":"W4393159917","doi":"10.1080/15732479.2024.2331103","title":"Detecting, monitoring and modeling damage within the decision-making process in the context of managing bridges: a review","year":2024,"lang":"en","type":"review","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Context (archaeology); Process (computing); Risk analysis (engineering); Engineering; Computer science; Forensic engineering; Business; Geology","score_opus":0.009967511599761728,"score_gpt":0.27974121176347705,"score_spread":0.2697737001637153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393159917","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007119425,0.9882835,0.0015700811,0.00001190145,0.0017932488,0.000987225,0.000042378542,0.00015425011,0.000037974114],"genre_scores_gemma":[0.29185882,0.7064835,0.00088139286,0.000024320794,0.00054618425,0.00006006154,0.0000065724175,0.00013849993,6.7094277e-7],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99711406,0.00006203965,0.0012191548,0.00059116964,0.0004333209,0.00058025325],"domain_scores_gemma":[0.9986676,0.00034876255,0.00023034753,0.000613287,0.00006566714,0.00007430918],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0005562953,0.0010084142,0.0016581512,0.00043622864,0.0001526995,0.00023194366,0.0007338663,0.000390224,0.000003986347],"category_scores_gemma":[0.00023568697,0.0005720349,0.00023547039,0.0008915296,0.000085414336,0.00026207292,0.00019773796,0.002427871,4.8914575e-7],"study_design_candidate":"systematic_review","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":[0.000004859926,0.0000014972029,0.000037574984,0.12608024,0.00027343672,0.00006236922,0.004770713,0.086873256,0.000016149621,0.00038843683,0.000070893766,0.7814206],"study_design_scores_gemma":[0.00056159747,0.00009823928,0.00017350797,0.69131285,0.0043092566,0.0027526051,0.0073536714,0.23757616,0.00009470881,0.0052703246,0.047177006,0.0033200984],"about_ca_topic_score_codex":0.000009160697,"about_ca_topic_score_gemma":0.0000077545465,"teacher_disagreement_score":0.7781005,"about_ca_system_score_codex":0.00012579795,"about_ca_system_score_gemma":0.00006641457,"threshold_uncertainty_score":0.9998736},"labels":[],"label_agreement":null},{"id":"W4396773037","doi":"10.1080/15732479.2024.2343856","title":"Friction stir welded joints in aluminum highway bridge decks: a quality control framework","year":2024,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Waterloo; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Welding; Structural engineering; Aluminium; Friction stir welding; Quality (philosophy); Materials science; Engineering; Composite material; Physics; Medicine","score_opus":0.005019126561674375,"score_gpt":0.23702317683662816,"score_spread":0.23200405027495377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396773037","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":[0.39605215,0.0018801517,0.59858394,0.00006306772,0.0013639024,0.00023178056,0.0001006485,0.001631243,0.00009310095],"genre_scores_gemma":[0.970032,0.00017140662,0.029219156,0.000046147055,0.0003849405,0.000021163067,0.000025510199,0.00009110039,0.000008609616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838513,0.000024150884,0.0004842498,0.00043125177,0.00022164368,0.00045354417],"domain_scores_gemma":[0.99932957,0.0001505576,0.000034815832,0.00032809944,0.00002866087,0.00012828027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001431685,0.0004298644,0.00048306232,0.00043785412,0.000049745264,0.00013411716,0.00017253039,0.0003815911,0.00011394609],"category_scores_gemma":[0.00012502781,0.00041205768,0.00010615771,0.00070738635,0.00003308631,0.00035298144,0.000043408105,0.0010147234,0.0000033378374],"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":[0.000031992535,0.000006776278,0.005254351,0.001329355,0.00048626465,0.000116313844,0.0015048983,0.8452728,0.0921267,0.017629238,0.0028607107,0.033380635],"study_design_scores_gemma":[0.00086367974,0.000059827427,0.17922547,0.0010578872,0.00019005926,0.00015588413,0.00007541385,0.732068,0.02080238,0.048604228,0.015099798,0.0017973918],"about_ca_topic_score_codex":0.00002742453,"about_ca_topic_score_gemma":0.000015724496,"teacher_disagreement_score":0.5739798,"about_ca_system_score_codex":0.00020873081,"about_ca_system_score_gemma":0.000016127868,"threshold_uncertainty_score":0.9998331},"labels":[],"label_agreement":null},{"id":"W4403830756","doi":"10.1080/15732479.2024.2420174","title":"Real-world installations of tuned liquid column dampers for wind-induced vibration control of tall buildings","year":2024,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":13,"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":"Damper; Structural engineering; Vibration; Column (typography); Tuned mass damper; Environmental science; Engineering; Geotechnical engineering; Marine engineering; Acoustics; Physics","score_opus":0.004066538090934038,"score_gpt":0.20276363830588365,"score_spread":0.1986971002149496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403830756","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":[0.8056522,0.0005049432,0.19160338,0.00007826133,0.0008201259,0.00045509366,0.00025339643,0.00029365643,0.00033892764],"genre_scores_gemma":[0.9945963,0.000045509674,0.0049856417,0.000021311414,0.0002314954,0.000011256586,0.000052704603,0.000040992058,0.000014789809],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899644,0.0000092035525,0.00043799475,0.00020788629,0.00013376003,0.00021472151],"domain_scores_gemma":[0.99952304,0.00014495055,0.000042551772,0.00013695152,0.00007460269,0.00007791774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006967377,0.00023747284,0.0003746701,0.00025889743,0.00004378071,0.000041199724,0.00010053481,0.00018733382,0.000082704646],"category_scores_gemma":[0.000054810567,0.00020562486,0.0001017869,0.00034118802,0.000038153023,0.00025871355,0.000017984425,0.00020379064,1.6611172e-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":[0.0000336432,0.0000014029491,0.00007962832,0.0003698395,0.00012198052,6.499677e-7,0.00020979662,0.22549272,0.75329566,0.019416127,0.00009842376,0.00088011764],"study_design_scores_gemma":[0.0013300794,0.00041114702,0.010327418,0.000233206,0.00016324884,0.000012685677,0.000049642116,0.7828051,0.19790217,0.0017347995,0.0045068706,0.00052362983],"about_ca_topic_score_codex":0.000010113143,"about_ca_topic_score_gemma":0.000011082964,"teacher_disagreement_score":0.55731237,"about_ca_system_score_codex":0.000035765483,"about_ca_system_score_gemma":0.00003279426,"threshold_uncertainty_score":0.83851385},"labels":[],"label_agreement":null},{"id":"W4406331954","doi":"10.1080/15732479.2025.2451277","title":"Reliability-based reinforcement learning driven maintenance policy optimization","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Reliability and Maintenance Optimization","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":"Toronto Metropolitan University","funders":"","keywords":"Reliability (semiconductor); Reinforcement; Reliability engineering; Reinforcement learning; Computer science; Preventive maintenance; Engineering; Structural engineering; Artificial intelligence","score_opus":0.0013279533385156248,"score_gpt":0.1783856397812691,"score_spread":0.17705768644275346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406331954","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":[0.025254559,0.00013936759,0.9713886,0.00015172943,0.00055683096,0.0003042759,0.00000773975,0.00055192795,0.0016450068],"genre_scores_gemma":[0.95345974,0.00015320399,0.045898866,0.00014690391,0.00011567069,0.000016662825,0.000067103305,0.000036771715,0.00010508881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988506,0.000015992928,0.00033123317,0.00029274903,0.00013517673,0.00037425096],"domain_scores_gemma":[0.9994648,0.000045514258,0.00004116323,0.00026610075,0.000097423814,0.000084998836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007402949,0.00030882514,0.00026635945,0.00031455085,0.00011619589,0.00007980073,0.00014206642,0.0002136814,0.00005319907],"category_scores_gemma":[0.0002072036,0.00028883072,0.00005777134,0.0005777846,0.000056388686,0.00023877193,0.000043447373,0.00045561153,6.063035e-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":[0.000010271452,0.0000013849515,0.00036610404,0.0002714634,0.00002425856,8.086713e-7,0.00008777665,0.99216455,0.002312231,0.0026492928,0.00032253013,0.0017893156],"study_design_scores_gemma":[0.00043707664,0.000025606603,0.0019325609,0.00012309256,0.000019378715,0.0000034852817,0.000025207773,0.9883632,0.002264225,0.00046426756,0.0060827453,0.00025915002],"about_ca_topic_score_codex":0.000008822135,"about_ca_topic_score_gemma":0.0000013049387,"teacher_disagreement_score":0.9282052,"about_ca_system_score_codex":0.00022072614,"about_ca_system_score_gemma":0.00006293656,"threshold_uncertainty_score":0.99995637},"labels":[],"label_agreement":null},{"id":"W4409648301","doi":"10.1080/15732479.2025.2491836","title":"Impact of analysis method on the fragility curves of regular and irregular box-girder highway bridges","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","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":"Western University","funders":"","keywords":"Fragility; Structural engineering; Box girder; Engineering; Bridge (graph theory); Forensic engineering; Girder; Civil engineering; Geotechnical engineering; Physics","score_opus":0.004511593885082462,"score_gpt":0.27094931376294606,"score_spread":0.2664377198778636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409648301","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":[0.98107743,0.0034577018,0.014466754,0.00007674715,0.00025273624,0.00028658647,0.00012344374,0.0001966125,0.00006201497],"genre_scores_gemma":[0.9875009,0.00039417963,0.011962939,0.000027682372,0.000060961083,0.000007792,0.0000128593665,0.000026886904,0.0000058161304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987054,0.000050887178,0.00045549416,0.00028923913,0.00021225947,0.00028674112],"domain_scores_gemma":[0.99891925,0.00027360665,0.00009558949,0.0005383973,0.00009337475,0.00007979964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020585723,0.00036719168,0.0006684835,0.00040795372,0.0000614394,0.000020439655,0.0002337881,0.00020970308,0.000036506146],"category_scores_gemma":[0.00012387907,0.0002493541,0.00017201016,0.00086548337,0.00010319117,0.000096790514,0.00007833523,0.0004328953,2.9692101e-8],"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":[0.0001495849,0.000018006684,0.15260242,0.009401778,0.0075131995,0.000006906074,0.0015004628,0.60836303,0.107126564,0.022226105,0.0049604164,0.08613151],"study_design_scores_gemma":[0.00014607713,0.000062936575,0.9210932,0.0002936509,0.00029938653,0.0000071327822,0.000020282585,0.023000766,0.052198976,0.0024722794,0.0001853349,0.00021996337],"about_ca_topic_score_codex":0.00008770267,"about_ca_topic_score_gemma":0.0000029507976,"teacher_disagreement_score":0.7684908,"about_ca_system_score_codex":0.000075318065,"about_ca_system_score_gemma":0.000023826711,"threshold_uncertainty_score":0.9999959},"labels":[],"label_agreement":null},{"id":"W4409705693","doi":"10.1080/15732479.2025.2494252","title":"Review of seismic evaluation frameworks for highway bridges based on life cycle concepts","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","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":"York University; University of Windsor","funders":"","keywords":"Construction engineering; Engineering; Civil engineering; Forensic engineering; Transport engineering; Computer science","score_opus":0.004722092180011456,"score_gpt":0.25055018288335756,"score_spread":0.2458280907033461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409705693","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":[0.4807644,0.054134935,0.45470896,0.00085430196,0.004452287,0.0028355615,0.0004816434,0.00072885,0.0010390612],"genre_scores_gemma":[0.99552643,0.0005502299,0.0023287307,0.0013737228,0.00009584112,0.00003537158,0.000061622646,0.000024689505,0.0000033460356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990276,0.000021418951,0.0003437926,0.00023886024,0.00016973521,0.0001985822],"domain_scores_gemma":[0.9992203,0.00020424402,0.000047628124,0.00030767178,0.00013706236,0.00008305676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017838791,0.00024888865,0.00037665942,0.0001277039,0.000042113832,0.000020136515,0.0001228343,0.0002165965,0.00012418875],"category_scores_gemma":[0.0005516452,0.00022511753,0.00009251722,0.00023395872,0.000033661592,0.00006876887,0.00002049735,0.00037982664,2.331896e-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":[0.000024162082,0.0000022590993,0.00032532588,0.008906195,0.000035484274,1.8021073e-7,0.000057544246,0.93909043,0.0041362084,0.0008143897,0.005166332,0.041441474],"study_design_scores_gemma":[0.0005799991,0.000033282555,0.009639542,0.0029217743,0.00008082427,0.0000010655399,0.000011519937,0.971745,0.005222977,0.0006585828,0.008881437,0.00022397107],"about_ca_topic_score_codex":0.0000022030572,"about_ca_topic_score_gemma":9.063558e-7,"teacher_disagreement_score":0.51476204,"about_ca_system_score_codex":0.000067157715,"about_ca_system_score_gemma":0.00006344407,"threshold_uncertainty_score":0.91800267},"labels":[],"label_agreement":null},{"id":"W4410100255","doi":"10.1080/15732479.2025.2499513","title":"A Bayesian belief network approach to bridge infrastructure resilience assessment against seismic hazard","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Regina","funders":"","keywords":"Bridge (graph theory); Bayesian network; Resilience (materials science); Seismic hazard; Hazard; Earthquake scenario; Computer science; Engineering; Forensic engineering; Risk analysis (engineering); Environmental science; Construction engineering; Civil engineering; Business; Artificial intelligence","score_opus":0.0024225621037837998,"score_gpt":0.20935382791208662,"score_spread":0.20693126580830282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410100255","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":[0.3008277,0.00075078924,0.68822485,0.00017541718,0.0015416656,0.00080643577,0.00012163542,0.00078283163,0.0067686485],"genre_scores_gemma":[0.95065784,0.000108361826,0.047217138,0.00092668866,0.0007844913,0.000050889423,0.00010192303,0.000096363416,0.000056297333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961827,0.000065197935,0.0008594497,0.0010569849,0.0005281192,0.0013075899],"domain_scores_gemma":[0.99822086,0.0001055389,0.000090982765,0.0009798119,0.00013440842,0.0004683814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025314267,0.0010231909,0.0010157834,0.00069285475,0.00042796278,0.00033523238,0.00077572523,0.00059680257,0.00006776722],"category_scores_gemma":[0.00009930066,0.00095581677,0.00022046558,0.0021898155,0.00015149581,0.00045998822,0.00028261312,0.0015285977,0.0000025478612],"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":[0.00001442115,0.000006122348,0.00526695,0.00037908275,0.0002314672,0.0000065777726,0.0002745759,0.95724773,0.0050845016,0.0018936729,0.009973016,0.019621853],"study_design_scores_gemma":[0.00055468874,0.000052688265,0.26509115,0.00020496726,0.00015147986,0.000056722354,0.00011132914,0.7066972,0.0012759465,0.0037187391,0.020932551,0.0011524741],"about_ca_topic_score_codex":0.000014620208,"about_ca_topic_score_gemma":0.000012726863,"teacher_disagreement_score":0.64983016,"about_ca_system_score_codex":0.00038441608,"about_ca_system_score_gemma":0.00015606197,"threshold_uncertainty_score":0.9992892},"labels":[],"label_agreement":null},{"id":"W4412656413","doi":"10.1080/15732479.2025.2531397","title":"Improvements in forecasting and normalizing limited displacement responses of long-span steel bridges subjected to seasonal temperature variability","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mitacs","funders":"European Space Agency","keywords":"Span (engineering); Displacement (psychology); Structural engineering; Engineering; Environmental science; Forensic engineering; Psychology","score_opus":0.006013297501122363,"score_gpt":0.23827026310199367,"score_spread":0.2322569656008713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412656413","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":[0.9960533,0.00043340758,0.0019080512,0.000040779505,0.000605812,0.0005664368,0.00010065536,0.00025232823,0.00003924585],"genre_scores_gemma":[0.99042475,0.000048460704,0.0092847105,0.000043086107,0.00010180748,0.00002676886,0.000021125134,0.000040114974,0.0000091862385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834996,0.000041113675,0.000522945,0.00040169654,0.00019982278,0.00048447738],"domain_scores_gemma":[0.99923444,0.00019441277,0.000056703695,0.00028321828,0.00008109361,0.0001501221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021091946,0.00041473252,0.00046334098,0.00047330357,0.00007737014,0.00006116108,0.00017630427,0.00026101264,0.0000088545385],"category_scores_gemma":[0.00025774157,0.00039733385,0.000035596575,0.00063802325,0.000042319054,0.00019985085,0.00016491736,0.00055112987,4.060745e-8],"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":[0.0003748584,0.000011549504,0.50697976,0.004709556,0.00019572629,0.000023911078,0.0017385944,0.080341384,0.33627927,0.00087328814,0.00021848438,0.068253614],"study_design_scores_gemma":[0.000475136,0.00006935876,0.89475423,0.00051441486,0.000022944772,0.000022465543,0.00006358442,0.02548281,0.07792725,0.00022478438,0.0001225703,0.00032045538],"about_ca_topic_score_codex":0.00004752093,"about_ca_topic_score_gemma":0.000033615597,"teacher_disagreement_score":0.38777447,"about_ca_system_score_codex":0.00022297674,"about_ca_system_score_gemma":0.000042636064,"threshold_uncertainty_score":0.9998478},"labels":[],"label_agreement":null},{"id":"W4413076733","doi":"10.1080/15732479.2025.2529470","title":"Redundancy in bridge substructures subjected to lateral loads and calibration of pier system factors","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pier; Structural engineering; Bridge (graph theory); Calibration; Redundancy (engineering); Engineering; Structural health monitoring; Forensic engineering; Geotechnical engineering; Reliability engineering; Mathematics; Statistics","score_opus":0.0037922770066806688,"score_gpt":0.22015906528267198,"score_spread":0.21636678827599132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413076733","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":[0.995769,0.000582731,0.0015914596,0.000018753459,0.0010800691,0.0003866647,0.00006523813,0.0004540923,0.000051993928],"genre_scores_gemma":[0.99568003,0.000026007361,0.0040888526,0.000016737102,0.00010720785,0.000010681199,0.000021221764,0.000044512777,0.000004718993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998605,0.000020006904,0.00050713,0.00032521153,0.00015200138,0.00039063033],"domain_scores_gemma":[0.9994578,0.000058696674,0.00004843492,0.0002566854,0.000044122055,0.00013427754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000054455424,0.00039498377,0.0004916483,0.0006145995,0.000053021784,0.00005344595,0.00016231817,0.0002956503,0.0000075496328],"category_scores_gemma":[0.000044856413,0.000361472,0.00003510041,0.0006200192,0.000040590585,0.00020951977,0.000076153025,0.00041849638,4.6770097e-8],"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":[0.00013968245,0.0000051896077,0.5681741,0.008405641,0.00024504066,0.000026368312,0.006644188,0.07455339,0.29882833,0.013030728,0.0007997824,0.029147537],"study_design_scores_gemma":[0.00027027036,0.000031108455,0.92249066,0.00035381646,0.000016640412,0.000020723073,0.00005402433,0.0074938065,0.06822734,0.0006120306,0.00013984376,0.00028972523],"about_ca_topic_score_codex":0.00011161112,"about_ca_topic_score_gemma":0.000027368382,"teacher_disagreement_score":0.35431656,"about_ca_system_score_codex":0.00016066486,"about_ca_system_score_gemma":0.00002560314,"threshold_uncertainty_score":0.9998837},"labels":[],"label_agreement":null},{"id":"W4414832027","doi":"10.1080/15732479.2025.2567411","title":"Effects of climate change and environmental aggressiveness on onset of corrosion in concrete highway bridge decks","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Bridge (graph theory); Corrosion; Climate change; Loss and damage; Reinforced concrete","score_opus":0.002935551119319847,"score_gpt":0.18514668488354946,"score_spread":0.18221113376422962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414832027","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":[0.996829,0.0018532185,0.000319188,0.000006790183,0.00048368657,0.0002773731,0.00015077695,0.000046910536,0.00003305784],"genre_scores_gemma":[0.99884176,0.0008794303,0.0001754112,0.000028737966,0.000024237088,0.0000096790955,0.00002116377,0.00001843277,0.0000011534855],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99919236,0.000018613444,0.00027707446,0.00020702562,0.000101034006,0.00020389176],"domain_scores_gemma":[0.99958605,0.00013392436,0.000050298975,0.00016212287,0.000008548788,0.00005905262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048186943,0.00023692957,0.0003780469,0.00020232184,0.000023495006,0.000009772799,0.00008028257,0.00016079421,0.000014054463],"category_scores_gemma":[0.00003777673,0.00021735944,0.000036908605,0.0001514257,0.000068155765,0.00008255527,0.00007368854,0.00023888111,1.0462931e-7],"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":[0.00019085182,0.0000049006517,0.0982074,0.004604595,0.000032993623,0.000023437793,0.0013191456,0.0058514415,0.8488925,0.00095103064,0.00007092409,0.039850745],"study_design_scores_gemma":[0.001007635,0.00006077125,0.7556179,0.0007684155,0.000028447943,0.000012122064,0.000030635845,0.015894108,0.2260565,0.0001176427,0.00017266761,0.00023313002],"about_ca_topic_score_codex":0.000006508682,"about_ca_topic_score_gemma":0.0000025360189,"teacher_disagreement_score":0.6574105,"about_ca_system_score_codex":0.000037601425,"about_ca_system_score_gemma":0.000005875822,"threshold_uncertainty_score":0.88636607},"labels":[],"label_agreement":null},{"id":"W4415171299","doi":"10.1080/15732479.2025.2572501","title":"Unified modelling of infrastructure asset performance deterioration – a bounded gamma process approach","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Process (computing); Bounded function; Asset management; Asset (computer security); Key (lock); Mathematical model","score_opus":0.003499601453016598,"score_gpt":0.1768210970015857,"score_spread":0.1733214955485691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415171299","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":[0.6614632,0.00022358881,0.33688363,0.000007660275,0.00035196697,0.00024406015,0.0000232211,0.00017472566,0.00062794174],"genre_scores_gemma":[0.9656119,0.0001608359,0.033990763,0.000020443513,0.00007188446,0.000014911863,0.00007887595,0.000037030746,0.000013399567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987357,0.000012161301,0.00043960332,0.00030797083,0.00017828902,0.00032625007],"domain_scores_gemma":[0.9994189,0.00002323872,0.000074054,0.00028599883,0.00012842982,0.00006934857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000813259,0.00035951345,0.00039453877,0.0002736504,0.000087776316,0.00007335483,0.0001924402,0.00031116133,0.000016042044],"category_scores_gemma":[0.000031229294,0.0003308124,0.000052001604,0.0005709642,0.00006903418,0.00044053196,0.000037611007,0.00043566595,1.2916597e-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":[0.000021341579,0.0000025464137,0.0009874917,0.0013000251,0.000053321954,3.2662635e-7,0.0004323437,0.9848254,0.008372889,0.0012643752,0.00006474881,0.0026752206],"study_design_scores_gemma":[0.00039197,0.000028510796,0.011394077,0.00014218313,0.000041641226,0.000014575515,0.00009379435,0.97422415,0.010245786,0.002763342,0.00036045018,0.00029949108],"about_ca_topic_score_codex":0.000002687434,"about_ca_topic_score_gemma":8.325831e-7,"teacher_disagreement_score":0.30414864,"about_ca_system_score_codex":0.00007604472,"about_ca_system_score_gemma":0.00005344981,"threshold_uncertainty_score":0.9999144},"labels":[],"label_agreement":null},{"id":"W4416063672","doi":"10.1080/15732479.2025.2579047","title":"Testing and optimisation of resilient deck-to-pier connections for tsunami-prone coastal bridges","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Earthquake and Tsunami Effects","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WSP (Canada)","funders":"University of Canterbury","keywords":"Bridge (graph theory); Structural health monitoring; Reliability (semiconductor); Vulnerability assessment","score_opus":0.00361299578119898,"score_gpt":0.20123971251368203,"score_spread":0.19762671673248305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416063672","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":[0.9444018,0.00045126173,0.05388864,0.00003263023,0.00042578188,0.00041172214,0.00009120728,0.00014316173,0.00015378742],"genre_scores_gemma":[0.97304434,0.000014715287,0.026744893,0.000025537009,0.00009387878,0.000019980613,0.00001450835,0.000027933143,0.000014189971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992362,0.000006835979,0.00022819592,0.00021438896,0.000079595724,0.00023473814],"domain_scores_gemma":[0.99945635,0.00022009845,0.000027885822,0.0001414778,0.00006916919,0.000085015476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000616906,0.00022039274,0.00025673726,0.00022605584,0.00008074374,0.000039160877,0.00006229353,0.00012348022,0.0000051085126],"category_scores_gemma":[0.00023160806,0.00021603689,0.000030703744,0.00027827907,0.000030495434,0.00010336232,0.000040369556,0.00016188389,1.1423355e-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":[0.00002435709,0.0000031343336,0.0082844235,0.0010670201,0.00012289494,0.0000013432785,0.00040336963,0.6817577,0.26853082,0.00270832,0.000422403,0.03667424],"study_design_scores_gemma":[0.0010043686,0.00017660126,0.6878675,0.0003658096,0.000108807246,0.00004036633,0.00013262154,0.22432351,0.08098943,0.0018384977,0.0026622857,0.00049020024],"about_ca_topic_score_codex":0.0000118713415,"about_ca_topic_score_gemma":0.000018985165,"teacher_disagreement_score":0.6795831,"about_ca_system_score_codex":0.0000228129,"about_ca_system_score_gemma":0.0000171731,"threshold_uncertainty_score":0.88097286},"labels":[],"label_agreement":null},{"id":"W4417047796","doi":"10.1080/15732479.2025.2593587","title":"Deterioration modelling of reinforced concrete bridge decks exposed to chlorides in a changing climate","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Government of Canada","keywords":"Reinforced concrete; Bridge (graph theory); Bridge deck; Bridge maintenance","score_opus":0.007173503904658762,"score_gpt":0.20028587845230644,"score_spread":0.19311237454764768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417047796","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":[0.9199443,0.00022318737,0.07873905,0.00001304903,0.00052466965,0.0002629063,0.000028607286,0.00014985017,0.0001144177],"genre_scores_gemma":[0.99612576,0.00005830831,0.0036488585,0.000055519115,0.00005175366,0.00001153997,0.000014932593,0.000025651863,0.000007680875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878895,0.000006930268,0.00044313178,0.0002388636,0.000109582215,0.00041255547],"domain_scores_gemma":[0.99954844,0.00004820867,0.000035514044,0.00023243878,0.000046155375,0.00008924061],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012598252,0.0002652638,0.0003711129,0.0006861834,0.000047535428,0.000043459477,0.0001246714,0.0001538255,0.000020074069],"category_scores_gemma":[0.000054093653,0.0002686371,0.000050143288,0.0007947229,0.000020413025,0.00018239491,0.000088063156,0.00025140474,4.164693e-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":[0.000033135977,1.0704115e-7,0.0007144646,0.00034952632,0.000010957098,0.0000017911033,0.0010309467,0.5873624,0.4074347,0.0010095458,0.00002080905,0.0020316022],"study_design_scores_gemma":[0.0005306369,0.000025020283,0.0088365665,0.00030417542,0.000016507242,0.000006574,0.000121516474,0.84582394,0.1435613,0.00014378769,0.00030013325,0.0003298071],"about_ca_topic_score_codex":0.0000064277033,"about_ca_topic_score_gemma":0.000004216242,"teacher_disagreement_score":0.2638734,"about_ca_system_score_codex":0.00007148833,"about_ca_system_score_gemma":0.000021790698,"threshold_uncertainty_score":0.9999766},"labels":[],"label_agreement":null},{"id":"W7108458204","doi":"10.1080/15732479.2025.2594068","title":"AI-guided bridge deck inspection using vehicle-mounted infrared imaging and ultrasound tomography","year":2025,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Kennedy Space Center; National Academies of Sciences, Engineering, and Medicine; National Aeronautics and Space Administration","keywords":"Bridge (graph theory); Bridge deck; Deck; Ultrasound; Ultrasound imaging; Structural health monitoring; Nondestructive testing","score_opus":0.002842731746208146,"score_gpt":0.21704315129617952,"score_spread":0.21420041954997138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108458204","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":[0.9709151,0.0023627414,0.022737203,0.00003289052,0.0024468782,0.00029360238,0.00004846434,0.00085753837,0.00030560358],"genre_scores_gemma":[0.9937315,0.00016162281,0.005214042,0.00026474491,0.0004999131,0.000008486711,0.00002710201,0.00008406041,0.0000085584115],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99813634,0.000017820632,0.00048266246,0.000497142,0.00020259489,0.0006634174],"domain_scores_gemma":[0.99924934,0.000064615815,0.00006132592,0.0003457239,0.00011215932,0.00016683059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008192135,0.0006140137,0.00047929017,0.0006881171,0.00028351744,0.00027329958,0.0001884325,0.00027381093,0.00001829864],"category_scores_gemma":[0.00007098301,0.00061229954,0.00008891341,0.0007995646,0.00012470057,0.0005807838,0.0000994729,0.00079595705,3.3343917e-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":[0.000055127435,0.000006035506,0.1586325,0.0010605768,0.000516208,0.000042107655,0.0013747045,0.14216675,0.6766813,0.0038343952,0.005779989,0.009850337],"study_design_scores_gemma":[0.0012666915,0.000024559005,0.7985624,0.00042193747,0.00016986483,0.00049195136,0.0002036715,0.1586508,0.027010223,0.0052738027,0.0068416167,0.0010824653],"about_ca_topic_score_codex":0.00003638596,"about_ca_topic_score_gemma":0.0000066979974,"teacher_disagreement_score":0.649671,"about_ca_system_score_codex":0.00017203583,"about_ca_system_score_gemma":0.000037587153,"threshold_uncertainty_score":0.99963284},"labels":[],"label_agreement":null}]}