{"meta":{"query_hash":"6be25990138e","filters":{"venue":"Structural Control and Health Monitoring"},"cohort_total":36,"direct_labels_cover":0,"predictions_cover":36,"exported":36,"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/6be25990138e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Structural+Control+and+Health+Monitoring"},"results":[{"id":"W1567378991","doi":"10.1002/stc.1670","title":"Optimal design of distributed tuned mass dampers for passive vibration control of structures","year":2014,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":30,"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 Ontario Institute of Technology; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Tuned mass damper; Vibration control; Vibration; Damper; Structural engineering; Control theory (sociology); Computer science; Engineering; Control (management); Physics; Acoustics","score_opus":0.01844283897755247,"score_gpt":0.26453669257587625,"score_spread":0.24609385359832378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567378991","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":[0.09337614,0.0007858179,0.90396404,0.0003941791,0.00055682525,0.0006794253,0.00016565765,0.00007219692,0.0000057275997],"genre_scores_gemma":[0.9915912,0.00004409166,0.007886266,0.000044592904,0.0003474737,0.000044776607,0.000023576838,0.00001594991,0.0000020515101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874586,0.000086851825,0.00053362775,0.00017615563,0.00014548072,0.00031202665],"domain_scores_gemma":[0.999155,0.00031066986,0.00015658121,0.00011505603,0.00013161238,0.00013111862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023430123,0.00019313523,0.00055081677,0.00006143741,0.00013979578,0.000021937643,0.000095874704,0.00011473221,0.00000597719],"category_scores_gemma":[0.00009321733,0.00014878165,0.00007637238,0.00007261297,0.0000658221,0.00013311027,0.0000068831278,0.00011641028,1.1820746e-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":[0.00072559767,0.0000056474173,0.0051823393,0.00058057124,0.00022207812,3.9008344e-7,0.00025663286,0.7443034,0.2196951,0.009292586,0.00004584675,0.019689806],"study_design_scores_gemma":[0.0059016817,0.00072258536,0.06611661,0.000053813477,0.00005504404,0.0000020471127,0.00010151541,0.9139044,0.010127494,0.0027339645,0.00004907411,0.0002317164],"about_ca_topic_score_codex":0.000021493825,"about_ca_topic_score_gemma":0.0000010444033,"teacher_disagreement_score":0.89821506,"about_ca_system_score_codex":0.00003729161,"about_ca_system_score_gemma":0.00003150874,"threshold_uncertainty_score":0.60671395},"labels":[],"label_agreement":null},{"id":"W1811903348","doi":"10.1002/stc.1731","title":"Numerical simulation and analysis of nonlinear state-space control design for hydraulic actuator control","year":2015,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Control theory (sociology); Actuator; Nonlinear system; Control engineering; State space; Controller (irrigation); Hydraulic cylinder; State-space representation; Engineering; Feedback linearization; Linearization; Stability (learning theory); Computer science; Control (management); Mathematics; Algorithm; Artificial intelligence","score_opus":0.04809149148268255,"score_gpt":0.3235971070659879,"score_spread":0.27550561558330533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1811903348","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":[0.34707874,0.00256971,0.6462835,0.0018356692,0.00054669124,0.0014104691,0.00012407961,0.00013968589,0.0000114674385],"genre_scores_gemma":[0.99763757,0.000017182261,0.0016077119,0.00029823996,0.000354891,0.000045781813,0.000007633021,0.000026364729,0.0000046137598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849606,0.000116765244,0.0005603746,0.0002152887,0.00021770081,0.00039383766],"domain_scores_gemma":[0.9985461,0.00068294886,0.00017741801,0.0001475459,0.00012993107,0.0003160286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057322264,0.00022550221,0.0008704797,0.00015890165,0.000110176814,0.000043992426,0.00007036057,0.00009691515,0.000001468798],"category_scores_gemma":[0.000094076466,0.00019038559,0.00008364435,0.0002020594,0.000033663633,0.00013842626,0.000005060094,0.00013979651,5.2625603e-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":[0.00016984697,0.0000027423862,0.018420797,0.0001916572,0.00061705074,0.0000010356679,0.001010938,0.9729054,0.00015670403,0.000010652276,0.000035427238,0.006477765],"study_design_scores_gemma":[0.0038616122,0.00020630147,0.024678487,0.000030123405,0.00025457836,0.0000021422686,0.00011548478,0.9702652,0.00002830318,0.00009736723,0.00029421874,0.0001661776],"about_ca_topic_score_codex":0.00029871435,"about_ca_topic_score_gemma":0.000004485131,"teacher_disagreement_score":0.6505588,"about_ca_system_score_codex":0.00009173362,"about_ca_system_score_gemma":0.000057259524,"threshold_uncertainty_score":0.7763699},"labels":[],"label_agreement":null},{"id":"W1868951247","doi":"10.1002/stc.1548","title":"Equivalent mechanical model for tuned liquid damper of complex tank geometry coupled to a 2D structure","year":2013,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","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":false,"ca_institutions":"McMaster University; Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Slosh dynamics; Damper; Nonlinear system; Fluid–structure interaction; Harmonic; Structural engineering; Thermoluminescent dosimeter; Engineering; Physics; Geometry; Acoustics; Mathematics; Finite element method; Optics","score_opus":0.04090773919795067,"score_gpt":0.3019743674651576,"score_spread":0.26106662826720695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1868951247","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":[0.89832884,0.0009120408,0.09685981,0.0017621174,0.00059181906,0.0012688319,0.00012274428,0.00014332727,0.000010483632],"genre_scores_gemma":[0.99310654,0.000052608502,0.00586291,0.00037012406,0.0004481665,0.00009774419,0.000013721961,0.000026922811,0.000021230493],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843943,0.000024438707,0.0005497679,0.0002617875,0.00020049626,0.00052406825],"domain_scores_gemma":[0.99916285,0.0000977491,0.00006519807,0.00016995076,0.00014807918,0.0003561851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014550601,0.00024660464,0.00058246223,0.00009492665,0.00018104205,0.00004297537,0.00015106208,0.00013562092,0.00007234912],"category_scores_gemma":[0.00004335406,0.00018665049,0.00008838477,0.00011437284,0.00003012062,0.00014938801,0.000042336454,0.00018165086,0.0000017587282],"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":[0.00054834574,0.000012395521,0.0010047797,0.00071272306,0.00019778815,7.7090743e-7,0.0006885027,0.14784805,0.828332,0.0063976706,0.000367716,0.01388925],"study_design_scores_gemma":[0.0019295523,0.00044714002,0.013447081,0.00003874721,0.000015212037,0.000003000121,0.000053650638,0.98099405,0.0009323387,0.0018544677,0.00006007155,0.0002247067],"about_ca_topic_score_codex":0.00009105456,"about_ca_topic_score_gemma":0.000012607195,"teacher_disagreement_score":0.833146,"about_ca_system_score_codex":0.0000743646,"about_ca_system_score_gemma":0.000035307632,"threshold_uncertainty_score":0.7611386},"labels":[],"label_agreement":null},{"id":"W1967479360","doi":"10.1002/stc.437","title":"Direct adaptive neural controller for the active control of earthquake-excited nonlinear base-isolated buildings","year":2011,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":27,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Nonlinear system; Parameterized complexity; Controller (irrigation); Adaptive control; Engineering; Artificial neural network; Earthquake engineering; Computer science; Structural engineering; Control (management); Physics; Algorithm; Artificial intelligence","score_opus":0.03576719323481857,"score_gpt":0.2641552192502745,"score_spread":0.22838802601545594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967479360","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":[0.6611366,0.023343936,0.29628327,0.0031336164,0.0060379645,0.0074394145,0.0010408557,0.0010076074,0.000576731],"genre_scores_gemma":[0.9981421,0.00013880656,0.00066512055,0.00022384475,0.0006599666,0.00011586207,0.000004292885,0.00003166746,0.00001832934],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983784,0.0000868133,0.00056204596,0.00027053148,0.00016834086,0.0005338672],"domain_scores_gemma":[0.9987578,0.0005485279,0.00015330153,0.00015148276,0.00019641558,0.00019247427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031144018,0.0003022548,0.0006901952,0.00008004334,0.00036853278,0.000029550853,0.00016649762,0.00013260166,0.000018900113],"category_scores_gemma":[0.00006613037,0.00019037012,0.00016387577,0.00013953997,0.000117699645,0.00020255726,0.000017092912,0.0002875117,8.81331e-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":[0.030058837,0.00014968256,0.04682358,0.0010853544,0.00609318,0.000026336415,0.010975686,0.0838811,0.060440097,0.013470974,0.00042959975,0.7465656],"study_design_scores_gemma":[0.007292186,0.0007679428,0.12124451,0.0000449906,0.000100076475,0.0000062933864,0.00019816903,0.8689075,0.0007491936,0.00022602614,0.00020992383,0.00025315123],"about_ca_topic_score_codex":0.00023990587,"about_ca_topic_score_gemma":0.000017171,"teacher_disagreement_score":0.78502643,"about_ca_system_score_codex":0.000044023524,"about_ca_system_score_gemma":0.000030607018,"threshold_uncertainty_score":0.7763068},"labels":[],"label_agreement":null},{"id":"W1991807328","doi":"10.1002/stc.337","title":"Robust direct adaptive controller for the nonlinear highway bridge benchmark","year":2009,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":17,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Benchmark (surveying); Controller (irrigation); Nonlinear system; Parameterized complexity; Adaptive control; Artificial neural network; Supervisor; Computer science; Nonlinear control; Engineering; Control (management); Artificial intelligence; Algorithm; Law","score_opus":0.042962703409181374,"score_gpt":0.27742776939956937,"score_spread":0.234465065990388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991807328","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":[0.27723515,0.22592148,0.36310685,0.08347924,0.022913577,0.01627915,0.0011722038,0.004327597,0.005564763],"genre_scores_gemma":[0.99587667,0.00039373606,0.0010057567,0.0006212042,0.0019663402,0.00005730226,0.0000057543994,0.000015175124,0.000058067697],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987588,0.000037511236,0.0003531,0.00022676968,0.00014081932,0.00048297795],"domain_scores_gemma":[0.9992668,0.00031304572,0.000053406075,0.00012353764,0.00007332969,0.00016989883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028310614,0.000231179,0.00042559663,0.000039173232,0.00054273766,0.00007814298,0.0001282471,0.00009070484,0.000007645688],"category_scores_gemma":[0.000034630335,0.00013904943,0.00010383893,0.00008207104,0.000041804542,0.00013812233,0.000009508136,0.00022760557,0.0000015606522],"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":[0.0014739494,0.000028611901,0.00638204,0.00020132202,0.00064863445,0.00000791055,0.0009275833,0.17961174,0.0047317697,0.015520475,0.0035914532,0.78687453],"study_design_scores_gemma":[0.0035983725,0.0004508303,0.30916083,0.000036444566,0.000039381852,0.0000056467175,0.000040548974,0.68308514,0.00007480072,0.00077994727,0.002472204,0.000255812],"about_ca_topic_score_codex":0.000050506867,"about_ca_topic_score_gemma":0.000010219029,"teacher_disagreement_score":0.7866187,"about_ca_system_score_codex":0.00006073321,"about_ca_system_score_gemma":0.000024264758,"threshold_uncertainty_score":0.5670271},"labels":[],"label_agreement":null},{"id":"W2042138396","doi":"10.1002/stc.217","title":"Adaptive control of nonlinear smart base-isolated buildings using Gaussian kernel functions","year":2007,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":31,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Nonlinear system; Benchmark (surveying); Adaptive control; Controller (irrigation); Engineering; Mathematics; Computer science; Control (management); Artificial intelligence","score_opus":0.02512125141220906,"score_gpt":0.2780779938394291,"score_spread":0.25295674242722005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042138396","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":[0.6336964,0.0038529034,0.35945606,0.0003658489,0.0016226446,0.0004998507,0.00007411108,0.0002527783,0.00017941605],"genre_scores_gemma":[0.99604833,0.000051120212,0.0030206358,0.000102792226,0.00072139764,0.000005722116,0.000004043501,0.000025736477,0.000020201629],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983705,0.000041787294,0.0006194836,0.00023810111,0.00018498274,0.00054512953],"domain_scores_gemma":[0.9992274,0.00012902859,0.00010936305,0.00013386787,0.00011011312,0.00029023775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041693993,0.00024542975,0.00050318765,0.00013735985,0.0003173554,0.000029671499,0.00008722539,0.00014468159,0.000018697996],"category_scores_gemma":[0.000025883937,0.00020075493,0.00008994801,0.00019455048,0.00007382828,0.00019601549,0.000015586375,0.00032273127,0.0000017371115],"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":[0.0027921456,0.00006315507,0.4302709,0.0009229731,0.0013437519,0.000059604623,0.0015256751,0.14478493,0.2503782,0.0065529253,0.000106406624,0.16119933],"study_design_scores_gemma":[0.004202633,0.0003982065,0.2213447,0.00012165648,0.00006679701,0.000027487155,0.00024612184,0.77232933,0.0005582519,0.00020088957,0.00016530274,0.00033864807],"about_ca_topic_score_codex":0.0003249706,"about_ca_topic_score_gemma":0.000025486768,"teacher_disagreement_score":0.6275444,"about_ca_system_score_codex":0.0001064767,"about_ca_system_score_gemma":0.00004322696,"threshold_uncertainty_score":0.8186549},"labels":[],"label_agreement":null},{"id":"W2046432177","doi":"10.1002/stc.283","title":"Self-tapping screws as reinforcement for rounded dovetail connections","year":2008,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Joist; Reinforcement; Tapping; Structural engineering; Beam (structure); Materials science; Engineering; Mechanical engineering","score_opus":0.0425411709400654,"score_gpt":0.27988953625916274,"score_spread":0.23734836531909734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046432177","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":[0.9807189,0.011908147,0.0012639147,0.0009984637,0.0018791906,0.0012570295,0.000012261447,0.00066716556,0.0012949294],"genre_scores_gemma":[0.99700147,0.0009057883,0.0011557841,0.000066647364,0.0005906225,0.00010707454,0.0000061521146,0.000020740703,0.00014574316],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914736,0.000011683109,0.00024644402,0.00014123433,0.00009462484,0.00035868745],"domain_scores_gemma":[0.9996531,0.000042276715,0.00004147712,0.000094761715,0.000038141312,0.00013021343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076287375,0.00016778293,0.00024187376,0.0000550836,0.0006864597,0.000042000516,0.000047062815,0.000047328973,0.000005217255],"category_scores_gemma":[0.000006729558,0.00013945089,0.00005321312,0.000052157535,0.000018191677,0.00018321114,0.000009141913,0.00010018838,0.0000036118208],"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":[0.0025861813,0.00012580706,0.42673737,0.011093969,0.008579205,0.00011477921,0.06786536,0.13004811,0.013460589,0.05450453,0.0047410666,0.28014305],"study_design_scores_gemma":[0.049379323,0.0058124303,0.2990925,0.00090883725,0.00048700636,0.0007762007,0.0049567483,0.4632638,0.011929985,0.0074474043,0.15163337,0.004312392],"about_ca_topic_score_codex":0.00025454175,"about_ca_topic_score_gemma":0.000016584387,"teacher_disagreement_score":0.33321568,"about_ca_system_score_codex":0.00013975201,"about_ca_system_score_gemma":0.000037774826,"threshold_uncertainty_score":0.5686642},"labels":[],"label_agreement":null},{"id":"W2100701919","doi":"10.1002/stc.1798","title":"A state space-based explicit integration method for real-time hybrid simulation","year":2015,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","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 Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Toronto; National Science Council","keywords":"DSPACE; MATLAB; Robustness (evolution); Control theory (sociology); Numerical integration; Displacement (psychology); Co-simulation; Actuator; State space; Real-time simulation; Computer science; Engineering; Simulation; Control engineering; Algorithm; Mathematics; Artificial intelligence; Control (management)","score_opus":0.04463704959924449,"score_gpt":0.34135182145275134,"score_spread":0.29671477185350686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100701919","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":[0.34525365,0.00060372375,0.6514245,0.00039276277,0.0010188954,0.0008773402,0.00003846647,0.00028098715,0.00010964017],"genre_scores_gemma":[0.988685,0.0000125591905,0.01065137,0.000028616752,0.0004896182,0.000060828796,0.000015135415,0.000025371504,0.00003149521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990673,0.000060381804,0.0003202908,0.00014516701,0.00013510548,0.000271753],"domain_scores_gemma":[0.9993383,0.00018710853,0.000081057304,0.000107263324,0.00008016352,0.0002060753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049005065,0.00015331274,0.00030625254,0.0000605573,0.00010457231,0.000050693932,0.00004453096,0.000037068286,0.0000018613877],"category_scores_gemma":[0.00003154756,0.00013064788,0.00003627514,0.000047975485,0.000005936463,0.00012285184,0.000004097028,0.00008029997,0.0000030803392],"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":[0.000085520405,0.0000017526102,0.00096172275,0.00030108745,0.000027542454,8.508804e-7,0.0013864775,0.90616,0.004247929,0.00007509944,0.00014338784,0.08660862],"study_design_scores_gemma":[0.0013849668,0.00010433447,0.001831887,0.0000833551,0.00000916768,0.000002435595,0.0001068138,0.9947802,0.00079251867,0.0004636047,0.00031113112,0.0001296123],"about_ca_topic_score_codex":0.0004288139,"about_ca_topic_score_gemma":0.000008999665,"teacher_disagreement_score":0.64343137,"about_ca_system_score_codex":0.00015831311,"about_ca_system_score_gemma":0.000051771884,"threshold_uncertainty_score":0.5327666},"labels":[],"label_agreement":null},{"id":"W2122194541","doi":"10.1002/stc.484","title":"Service loads in dragline tubular structures: a case study of cluster A5","year":2011,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Fatigue and fracture mechanics","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":"Concordia University","funders":"","keywords":"Structural engineering; Chord (peer-to-peer); Welding; Engineering; Boom; Cracking; Residual stress; Strain gauge; Materials science; Composite material; Mechanical engineering; Computer science","score_opus":0.04292330584736497,"score_gpt":0.2882829699607359,"score_spread":0.2453596641133709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122194541","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":[0.9969263,0.0015247542,0.00015189256,0.000050107938,0.0007675091,0.0004945534,0.000007084158,0.000058456746,0.000019338342],"genre_scores_gemma":[0.9992267,0.000034409804,0.000414672,0.00007813,0.00020500977,0.000014022778,0.0000012365459,0.000024756535,0.0000010829482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998857,0.000047893896,0.0004436967,0.00018782774,0.00013124039,0.00033230847],"domain_scores_gemma":[0.99952525,0.000029134126,0.00007286684,0.00019499894,0.00005026308,0.00012746613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017804115,0.00020319237,0.0003931258,0.00012097844,0.000085314074,0.0000134914835,0.00009345907,0.00008336493,0.000008039302],"category_scores_gemma":[0.0000064913547,0.00017141228,0.000024713885,0.00015930498,0.000009865683,0.00012894264,0.000027435293,0.00030468375,4.0779423e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009888649,0.00023314274,0.4924823,0.0060574305,0.0008090157,0.003340191,0.28575903,0.035800178,0.0041774907,0.00063956785,0.000063470616,0.1696493],"study_design_scores_gemma":[0.03170355,0.0033997037,0.63637245,0.00064675126,0.0002491025,0.0021573422,0.07824001,0.23711815,0.0030373663,0.0048736925,0.00014494645,0.0020569167],"about_ca_topic_score_codex":0.0070079034,"about_ca_topic_score_gemma":0.0023934916,"teacher_disagreement_score":0.20751902,"about_ca_system_score_codex":0.000050411756,"about_ca_system_score_gemma":0.000019704512,"threshold_uncertainty_score":0.9996045},"labels":[],"label_agreement":null},{"id":"W2160677819","doi":"10.1002/stc.280","title":"Structural control benchmark problem: Phase II-Nonlinear smart base-isolated building subjected to near-fault earthquakes","year":2008,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":41,"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); Base isolation; Nonlinear system; Engineering; Isolation (microbiology); Set (abstract data type); Control system; Structural engineering; Computer science; Telecommunications; Electrical engineering","score_opus":0.02067346602874845,"score_gpt":0.27962662773999536,"score_spread":0.25895316171124694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160677819","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":[0.98898435,0.0027334269,0.0032245833,0.001675721,0.0014065194,0.0011483907,0.00012080452,0.0006443432,0.00006184289],"genre_scores_gemma":[0.993243,0.00011721974,0.0047996016,0.0004724306,0.0011579406,0.00006690498,0.000034112873,0.00005626774,0.000052517345],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969134,0.00012936059,0.0009063989,0.00055728765,0.00038058226,0.0011129674],"domain_scores_gemma":[0.9985055,0.00014342074,0.00011840597,0.00027322304,0.00018977912,0.00076968374],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00028669045,0.0005505383,0.0008925016,0.00016206554,0.0017539781,0.00014069075,0.00022620271,0.00022661423,0.00006891968],"category_scores_gemma":[0.00007141668,0.00044716347,0.00013981004,0.0003838996,0.000117192154,0.0004073591,0.00005140971,0.0006182847,0.0000075193702],"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":[0.0051661455,0.00016261746,0.21751288,0.0013375079,0.0015755238,0.000366315,0.0078832405,0.18709764,0.31467125,0.0018643576,0.0016645921,0.26069793],"study_design_scores_gemma":[0.017682351,0.0025754524,0.19957867,0.00019275495,0.00007456453,0.00019722596,0.00008566761,0.77522165,0.0010985045,0.00030354166,0.001811062,0.0011785576],"about_ca_topic_score_codex":0.00027601098,"about_ca_topic_score_gemma":0.00005158642,"teacher_disagreement_score":0.588124,"about_ca_system_score_codex":0.00013146366,"about_ca_system_score_gemma":0.00011498265,"threshold_uncertainty_score":0.999798},"labels":[],"label_agreement":null},{"id":"W2346523081","doi":"10.1002/stc.1865","title":"Modeling and analysis of a structure semi-active tuned liquid damper system","year":2016,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","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":"McMaster University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermoluminescent dosimeter; Damper; Tuned mass damper; Vibration; Engineering; Damping ratio; Control theory (sociology); Natural frequency; Structural engineering; Acoustics; Computer science; Physics; Control (management); Optics","score_opus":0.014295414850561747,"score_gpt":0.2577183477284176,"score_spread":0.24342293287785588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346523081","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":[0.98012954,0.0025667415,0.016246805,0.00026634318,0.0003444485,0.00017917858,0.00012606292,0.00011923855,0.000021631591],"genre_scores_gemma":[0.9993184,0.00019699318,0.00021449741,0.000023809122,0.00021637697,0.000008257616,0.0000039746715,0.0000123260315,0.0000053239405],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989338,0.000043738302,0.00038453582,0.00021687959,0.00013416335,0.00028688292],"domain_scores_gemma":[0.9995208,0.00006792576,0.00005326147,0.00011943244,0.00006824378,0.00017034383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010757127,0.00018193139,0.00056923943,0.00014988436,0.00014084438,0.00002027282,0.0000610352,0.000102221275,0.000009283967],"category_scores_gemma":[0.0000148166455,0.000108593544,0.00006652909,0.00017459117,0.000038078924,0.00016657547,0.00002092614,0.00010979135,1.8539501e-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":[0.0014825197,0.00000893933,0.0722253,0.0017109674,0.005250678,0.0000116112005,0.0031470368,0.24148543,0.52278847,0.009615437,0.0000075076846,0.14226611],"study_design_scores_gemma":[0.0020164808,0.0002110197,0.08912594,0.00018429996,0.00029835638,0.000008160859,0.00031367174,0.9059207,0.0014344932,0.00018967294,0.000010793848,0.0002864501],"about_ca_topic_score_codex":0.00009889841,"about_ca_topic_score_gemma":0.000020030815,"teacher_disagreement_score":0.6644352,"about_ca_system_score_codex":0.000075531454,"about_ca_system_score_gemma":0.000016944494,"threshold_uncertainty_score":0.4428316},"labels":[],"label_agreement":null},{"id":"W2588902562","doi":"10.1002/stc.1998","title":"Damage detection under varying temperature using artificial neural networks","year":2017,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Novelty detection; Artificial neural network; Robustness (evolution); Computer science; Artificial intelligence; Pattern recognition (psychology); Structural health monitoring; Noise (video); Biological system; Novelty; Engineering; Structural engineering","score_opus":0.04608285620975124,"score_gpt":0.3392630013724993,"score_spread":0.2931801451627481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588902562","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":[0.9899072,0.0014111347,0.0010793582,0.00030039102,0.0062487833,0.000428547,0.00000796628,0.00059455505,0.000022076523],"genre_scores_gemma":[0.9946041,0.00011838586,0.0009863146,0.00006158906,0.004142612,0.000018467581,0.0000021911962,0.00006340863,0.00000290288],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981403,0.000053819298,0.0004624025,0.0003467449,0.00021254814,0.0007841891],"domain_scores_gemma":[0.9989354,0.000045446897,0.000196064,0.0004544258,0.00006581089,0.00030286933],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00025218434,0.00035391538,0.0004368064,0.00010870606,0.0023078667,0.0004275605,0.00026178785,0.00022760333,0.0000025944516],"category_scores_gemma":[0.00002222426,0.0003324349,0.00006671439,0.000074925476,0.00008487864,0.00057303335,0.00006876987,0.00078576105,4.2592737e-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":[0.0002457662,0.000005708144,0.057308514,0.00093784515,0.00015615033,0.00003747223,0.00054635486,0.28932875,0.03645163,0.0007637124,0.000019843743,0.61419827],"study_design_scores_gemma":[0.0004695752,0.000067104986,0.44207072,0.00011953075,0.000017905733,0.000038279137,0.000050074126,0.55400294,0.0016928716,0.0011394372,0.000009604798,0.0003219364],"about_ca_topic_score_codex":0.00077906565,"about_ca_topic_score_gemma":0.000048068116,"teacher_disagreement_score":0.61387634,"about_ca_system_score_codex":0.00032799743,"about_ca_system_score_gemma":0.000028413113,"threshold_uncertainty_score":0.9999128},"labels":[],"label_agreement":null},{"id":"W2614532692","doi":"10.1002/stc.2024","title":"Battery capacity degradation prediction using similarity recognition based on modified dynamic time warping","year":2017,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Advanced Battery Technologies Research","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":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Dynamic time warping; Similarity (geometry); Degradation (telecommunications); Battery (electricity); Computer science; Test data; Path (computing); Dynamic similarity; Artificial intelligence; Data mining; Pattern recognition (psychology); Image (mathematics)","score_opus":0.07748470942776227,"score_gpt":0.3318317608714543,"score_spread":0.254347051443692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614532692","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":[0.9781433,0.00007948377,0.019717466,0.0005391885,0.0006426017,0.00037049447,0.00008642668,0.0003725489,0.00004850296],"genre_scores_gemma":[0.99712884,0.000044535744,0.0025333636,0.000034490455,0.00019006146,0.000018979725,0.000020443349,0.000025177655,0.0000040844843],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988361,0.000039876115,0.00024916104,0.0002537468,0.00020895257,0.00041218035],"domain_scores_gemma":[0.99935645,0.000058747475,0.000109382985,0.0003231329,0.000054447493,0.00009786809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023680211,0.00018337322,0.00023720044,0.00013932254,0.0009406361,0.0001316696,0.00014669602,0.00012495338,0.0000039752745],"category_scores_gemma":[0.00008218697,0.0001814356,0.000032456148,0.000046382145,0.00006851008,0.00046978405,0.000030233492,0.00045005255,0.0000023207795],"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":[0.00021084031,0.00001379811,0.046068296,0.00085740077,0.00007844456,0.000009861252,0.000122059864,0.39562786,0.056821812,0.000015813279,0.000019406076,0.50015444],"study_design_scores_gemma":[0.0006976175,0.00006113531,0.15744464,0.00015647241,0.0000066764783,0.0000034000527,0.000013147054,0.8399255,0.0010300479,0.00052563846,0.0000038375056,0.00013186787],"about_ca_topic_score_codex":0.00012936693,"about_ca_topic_score_gemma":0.000011142626,"teacher_disagreement_score":0.50002253,"about_ca_system_score_codex":0.00047712526,"about_ca_system_score_gemma":0.000023174782,"threshold_uncertainty_score":0.7398729},"labels":[],"label_agreement":null},{"id":"W2793334319","doi":"10.1002/stc.2147","title":"Multisensor-based hybrid empirical mode decomposition method towards system identification of structures","year":2018,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thunder Bay Regional Research Institute; Thunder Bay Regional Health Sciences Centre; Lakehead University","funders":"Ministry of Education, Libya","keywords":"Hilbert–Huang transform; Modal; Identification (biology); Mode (computer interface); Computer science; Noise (video); Vibration; Decomposition; Algorithm; Engineering; Artificial intelligence; Acoustics; Computer vision","score_opus":0.04102401273734431,"score_gpt":0.4409949222036131,"score_spread":0.3999709094662688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793334319","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":[0.9643661,0.0007324752,0.030682169,0.00020914547,0.0025247606,0.0006093528,0.000089648325,0.00076230126,0.000024047582],"genre_scores_gemma":[0.9631115,0.000028057437,0.035440255,0.000034038247,0.0012894317,0.000037779904,0.00001162508,0.000045594596,0.0000016962674],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977681,0.000142673,0.0008856291,0.00035741818,0.00033426285,0.00051193],"domain_scores_gemma":[0.9988487,0.00009402191,0.00025976033,0.00032230988,0.00022376844,0.00025145622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003880667,0.0003083472,0.0005555228,0.0002130232,0.00034170685,0.000052557803,0.00018673966,0.00012722584,0.0000027353738],"category_scores_gemma":[0.000023762359,0.00028078706,0.00007764244,0.00016298133,0.000092602815,0.00017214587,0.00002505443,0.00028068366,0.0000011336688],"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":[0.00066422246,0.0000124618755,0.051996786,0.008667235,0.000264451,0.00001524085,0.0023130623,0.025051044,0.0947348,0.0020065361,0.0002904576,0.8139837],"study_design_scores_gemma":[0.00097151176,0.00021576742,0.46365386,0.0002355202,0.000032635053,0.00004420152,0.00010557575,0.41783214,0.11572701,0.00084034755,0.00003967235,0.0003017789],"about_ca_topic_score_codex":0.0006951608,"about_ca_topic_score_gemma":0.000007443435,"teacher_disagreement_score":0.8136819,"about_ca_system_score_codex":0.0005787646,"about_ca_system_score_gemma":0.00009077516,"threshold_uncertainty_score":0.9999644},"labels":[],"label_agreement":null},{"id":"W2883677248","doi":"10.1002/stc.2236","title":"Refined damper design formula for a cable equipped with a positive or negative stiffness damper","year":2018,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":55,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Damper; Stiffness; Structural engineering; Dissipation; Vibration; Parametric statistics; Engineering; Tuned mass damper; Vibration control; Control theory (sociology); Computer science; Physics; Mathematics; Acoustics; Control (management)","score_opus":0.030731782987845548,"score_gpt":0.3046440799037043,"score_spread":0.2739122969158587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883677248","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":[0.20789719,0.0003558378,0.78813577,0.0009790824,0.00060992414,0.0014455697,0.00009686294,0.00028759675,0.00019216923],"genre_scores_gemma":[0.9846348,0.000019369516,0.01435,0.00018295141,0.0005086812,0.00007993944,0.000009732717,0.000029985535,0.00018452662],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989666,0.000032418222,0.0002460919,0.00022141387,0.00012345043,0.00041006503],"domain_scores_gemma":[0.99936986,0.00012364291,0.00006793379,0.00011661631,0.00015404714,0.0001679209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014527174,0.00020278484,0.0003483113,0.000078595185,0.00041731252,0.00007490606,0.00006620972,0.0000607752,0.000022463208],"category_scores_gemma":[0.000023938817,0.00013648733,0.00003632837,0.00015282884,0.000054614575,0.00025286563,0.0000112763755,0.00010642078,0.0000014182633],"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":[0.034362406,0.000100769634,0.022535656,0.0038297465,0.0061423997,0.00006753423,0.05600831,0.40358385,0.025276413,0.010365974,0.00348161,0.43424535],"study_design_scores_gemma":[0.0050421525,0.0008738139,0.03215682,0.00014672903,0.000093086004,0.000015181615,0.00084514596,0.9591524,0.00053423265,0.0006294147,0.00012936826,0.00038162922],"about_ca_topic_score_codex":0.00025036858,"about_ca_topic_score_gemma":0.00018341561,"teacher_disagreement_score":0.77673763,"about_ca_system_score_codex":0.00012450996,"about_ca_system_score_gemma":0.00008534682,"threshold_uncertainty_score":0.5565792},"labels":[],"label_agreement":null},{"id":"W2888743513","doi":"10.1002/stc.2244","title":"Mass normalized mode shape identification of bridge structures using a single actuator-sensor pair","year":2018,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":23,"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":"Actuator; Displacement (psychology); Modal; Control theory (sociology); Acceleration; Identification (biology); Mode (computer interface); Engineering; Modal analysis; Acoustics; Process (computing); Computer science; Structural engineering; Finite element method; Artificial intelligence; Physics; Materials science","score_opus":0.05268736740692082,"score_gpt":0.349752387784356,"score_spread":0.2970650203774352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888743513","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":[0.9932859,0.0010839143,0.00195239,0.00011220114,0.002362085,0.0005774434,0.000068294874,0.000538107,0.000019643092],"genre_scores_gemma":[0.9865223,0.000082866376,0.011474733,0.0000339222,0.0017912762,0.000017810373,0.000006138125,0.00006656604,0.000004377164],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99752903,0.000080365484,0.000961067,0.00037130734,0.00034987365,0.00070832693],"domain_scores_gemma":[0.99873024,0.00007442326,0.00033414084,0.0003638112,0.00022024181,0.0002771229],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002869706,0.00037038137,0.00060719333,0.00021767119,0.00039493293,0.00007456569,0.00023057335,0.00017875402,0.0000105434665],"category_scores_gemma":[0.000041896998,0.00034922667,0.00008155935,0.00023803233,0.00015747343,0.00034043653,0.000038618015,0.00030367493,0.0000011808581],"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":[0.00039117775,0.000010436676,0.07423205,0.002534681,0.00022660926,0.000006999922,0.0032358998,0.0022520921,0.7105767,0.00070038496,0.000091623566,0.20574133],"study_design_scores_gemma":[0.0016785724,0.00035826964,0.69679016,0.00029207618,0.00005724148,0.000053388238,0.00017652255,0.18726555,0.10828287,0.00430026,0.000100478595,0.000644643],"about_ca_topic_score_codex":0.0007097413,"about_ca_topic_score_gemma":0.000010801661,"teacher_disagreement_score":0.6225581,"about_ca_system_score_codex":0.0003661334,"about_ca_system_score_gemma":0.00006536544,"threshold_uncertainty_score":0.999896},"labels":[],"label_agreement":null},{"id":"W2902834278","doi":"10.1002/stc.2294","title":"Comparison of prediction and measurement techniques for pedestrian-induced vibrations of a low-frequency floor","year":2018,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rowan Williams Davies & Irwin (Canada); University of Windsor","funders":"","keywords":"Serviceability (structure); Pedestrian; Vibration; Probabilistic logic; Engineering; Structural engineering; Computer science; Transport engineering; Acoustics; Artificial intelligence; Physics","score_opus":0.0523342844568708,"score_gpt":0.33945033292461385,"score_spread":0.2871160484677431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902834278","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":[0.9206474,0.0016522349,0.07625684,0.0001543879,0.0005465746,0.0004935501,0.000056988472,0.00016260751,0.000029433551],"genre_scores_gemma":[0.9959852,0.000047238063,0.003632885,0.0000043178234,0.0002908403,0.000023735722,0.000004108342,0.000010786442,8.6196246e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992003,0.000012948351,0.00039856203,0.00011063254,0.00013394214,0.00014365464],"domain_scores_gemma":[0.99956506,0.00001906463,0.00009296185,0.00008554457,0.00016344665,0.00007393801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015055535,0.000110759844,0.0003007819,0.000100758625,0.00011350694,0.000013863145,0.000038731374,0.000053778524,0.000002156137],"category_scores_gemma":[0.000026526746,0.00009896235,0.000035058998,0.00009603962,0.00003699381,0.00010079217,0.0000054775883,0.00006922929,5.085251e-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":[0.000116421485,0.00001291677,0.054827075,0.0033731272,0.0004011302,1.4386386e-7,0.0027612983,0.003957857,0.6766614,0.0011609002,0.00006103743,0.25666675],"study_design_scores_gemma":[0.0017750602,0.0009419807,0.29430252,0.00039064017,0.000109693225,0.0000037996087,0.00053756527,0.4626455,0.23835911,0.0006200982,0.00003773761,0.00027630667],"about_ca_topic_score_codex":0.00013203996,"about_ca_topic_score_gemma":0.00002603736,"teacher_disagreement_score":0.45868763,"about_ca_system_score_codex":0.000050654664,"about_ca_system_score_gemma":0.000026137053,"threshold_uncertainty_score":0.40355676},"labels":[],"label_agreement":null},{"id":"W2904050782","doi":"10.1002/stc.2309","title":"Uncertainty quantification for model parameters and hidden state variables in Bayesian dynamic linear models","year":2018,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Bayesian probability; Computation; Algorithm; Uncertainty quantification; Maxima and minima; Laplace transform; Laplace's method; Mathematics; Maximum a posteriori estimation; Applied mathematics; Computer science; Mathematical optimization; Statistics; Maximum likelihood","score_opus":0.03423293764256394,"score_gpt":0.30920567713035385,"score_spread":0.2749727394877899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904050782","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":[0.8731794,0.00015785701,0.1253862,0.0007265941,0.00013458675,0.00036898348,0.000018113453,0.000016685895,0.000011589643],"genre_scores_gemma":[0.99339354,0.000065748565,0.0062412005,0.000094732786,0.00003588726,0.000046691643,0.0000039626966,0.0000074176114,0.00011084535],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911815,0.000029180963,0.00022245961,0.00026338847,0.000099508026,0.00026729735],"domain_scores_gemma":[0.999711,0.000041262985,0.00007307885,0.00008068463,0.000017756838,0.00007621392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026558156,0.0001100079,0.00017561171,0.00003368047,0.00030392883,0.00003641161,0.00005439763,0.00003015036,0.0000014463762],"category_scores_gemma":[0.0000075530456,0.00009155815,0.000014805291,0.000053869124,0.00010152752,0.00022544793,0.000033731314,0.00006019399,7.0920754e-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":[0.00044386805,0.00001894557,0.20587516,0.00020752249,0.000055983,0.0000010406242,0.011631396,0.12322081,0.00409987,0.0014388552,0.000030011883,0.6529766],"study_design_scores_gemma":[0.0007366485,0.00007721338,0.108170874,0.000017704268,0.00000529509,8.3309664e-7,0.00018600265,0.88207793,0.000027480242,0.008584057,0.000021011341,0.00009495401],"about_ca_topic_score_codex":0.0018122438,"about_ca_topic_score_gemma":0.0007802611,"teacher_disagreement_score":0.75885713,"about_ca_system_score_codex":0.000124059,"about_ca_system_score_gemma":0.00001222814,"threshold_uncertainty_score":0.3733633},"labels":[],"label_agreement":null},{"id":"W2911081702","doi":"10.1002/stc.2321","title":"A literature review of next-generation smart sensing technology in structural health monitoring","year":2019,"lang":"en","type":"review","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":579,"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; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Structural health monitoring; Systems engineering; Data science; Engineering; Electrical engineering","score_opus":0.08544854997614458,"score_gpt":0.38452453977894624,"score_spread":0.29907598980280165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911081702","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":[0.0021362985,0.9875793,0.000013704297,0.00044342224,0.005958174,0.0032190152,0.00009878578,0.0005417852,0.000009536118],"genre_scores_gemma":[0.029794801,0.96413714,0.0034579074,0.00006816777,0.0021672673,0.00009655647,0.0000870183,0.00018308665,0.000008027745],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9938495,0.0003685751,0.002895447,0.00092632073,0.0005318005,0.0014283417],"domain_scores_gemma":[0.99725306,0.0001692872,0.0011569329,0.000832748,0.0002092289,0.00037872305],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009098343,0.001205164,0.004918839,0.0012437113,0.00030128076,0.00012435645,0.00047899387,0.0008225997,0.0000026719902],"category_scores_gemma":[0.00008737004,0.0010543091,0.00035042246,0.0014507329,0.000086084525,0.00045424412,0.00013429263,0.00235438,0.0000020152047],"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":[0.000004196957,9.724234e-7,0.0004059097,0.24353072,0.000056632736,0.000008686335,0.00013149544,0.000014264053,0.000009772998,0.00005162872,0.00003248492,0.7557532],"study_design_scores_gemma":[0.0013391575,0.0004994497,0.0034903318,0.9476951,0.00028308,0.0007040158,0.00009902744,0.0024723771,0.000050058443,0.0004019458,0.0409742,0.0019913032],"about_ca_topic_score_codex":0.00028267445,"about_ca_topic_score_gemma":0.000014368814,"teacher_disagreement_score":0.75376195,"about_ca_system_score_codex":0.0016821765,"about_ca_system_score_gemma":0.0005521404,"threshold_uncertainty_score":0.99994725},"labels":[],"label_agreement":null},{"id":"W2958658808","doi":"10.1002/stc.2404","title":"Real‐time anomaly detection with Bayesian dynamic linear models","year":2019,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Hydro-Québec","keywords":"Anomaly detection; Bayesian probability; Anomaly (physics); Computer science; Artificial intelligence; Pattern recognition (psychology); Physics","score_opus":0.00942687170045171,"score_gpt":0.2725016903912342,"score_spread":0.2630748186907825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958658808","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":[0.5192796,0.00013090648,0.4785019,0.0007338089,0.00016921257,0.00053877314,0.0000032727035,0.00040153085,0.00024100646],"genre_scores_gemma":[0.97925305,0.000062935644,0.020330818,0.00005720296,0.000102625425,0.000034277564,8.77271e-7,0.000011300225,0.00014693629],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990016,0.000028536488,0.00020363688,0.00034647703,0.0001399376,0.00027981302],"domain_scores_gemma":[0.99936706,0.000020615471,0.00012870351,0.00029129905,0.00005795371,0.00013438727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013047823,0.00013747577,0.00020211423,0.00007735416,0.00031548925,0.000078616285,0.00018290806,0.000055376742,0.0000026640796],"category_scores_gemma":[8.859393e-7,0.00010998713,0.00003080433,0.00018048089,0.000019597612,0.00042962944,0.00003958518,0.00015508117,0.0000065001354],"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":[0.00024668226,0.000032713928,0.02973132,0.00034593267,0.0001327368,0.000008494909,0.0015156285,0.008473755,0.07025944,0.023561414,0.00001401647,0.8656779],"study_design_scores_gemma":[0.0006088953,0.0004311898,0.053042077,0.000033148135,0.0000050469275,0.00003481461,0.000027908942,0.94192386,0.00075221487,0.0028743052,0.00007126436,0.00019528836],"about_ca_topic_score_codex":0.00051819644,"about_ca_topic_score_gemma":0.00002012626,"teacher_disagreement_score":0.9334501,"about_ca_system_score_codex":0.000094788375,"about_ca_system_score_gemma":0.000051704872,"threshold_uncertainty_score":0.4485145},"labels":[],"label_agreement":null},{"id":"W2966728271","doi":"10.1002/stc.2432","title":"Placement of distributed crack sensor on I‐shaped steel girders of medium‐span bridges, using available field data","year":2019,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Girder; Flange; Structural engineering; Span (engineering); Finite element method; Engineering; Structural health monitoring; Tension (geology); Materials science; Composite material; Ultimate tensile strength","score_opus":0.06028535024456505,"score_gpt":0.3347148469414212,"score_spread":0.2744294966968561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966728271","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":[0.99527144,0.0010222316,0.00024426103,0.0002703361,0.0018689559,0.000766295,0.00032997568,0.00018553813,0.00004096568],"genre_scores_gemma":[0.9967967,0.00034336216,0.0023164034,0.000046815177,0.00039683806,0.000006659834,0.000040906674,0.00003871327,0.0000135995415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978764,0.000058415528,0.0007487333,0.0003782096,0.00037897925,0.0005592366],"domain_scores_gemma":[0.99851865,0.00023105838,0.000276312,0.0006762747,0.00009679785,0.00020091534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003412162,0.00029511575,0.00068658794,0.0001424578,0.000114431125,0.00002176214,0.0003416092,0.00014059202,0.000031684613],"category_scores_gemma":[0.000050185692,0.0002709414,0.00004590398,0.00015984658,0.000041588628,0.00020528979,0.00010686924,0.0003643244,0.0000023323994],"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":[0.0015600857,0.00004021122,0.85255146,0.013364933,0.0005699911,0.000012822504,0.0012845454,0.03309044,0.049453985,0.00021820173,0.0019679293,0.045885384],"study_design_scores_gemma":[0.004850407,0.0013863201,0.6971005,0.0020471162,0.00009285085,0.000026257272,0.0006930086,0.2617026,0.029989779,0.00010746275,0.0011177389,0.00088595157],"about_ca_topic_score_codex":0.0014779994,"about_ca_topic_score_gemma":0.000014260975,"teacher_disagreement_score":0.22861215,"about_ca_system_score_codex":0.000218041,"about_ca_system_score_gemma":0.000098676435,"threshold_uncertainty_score":0.99997425},"labels":[],"label_agreement":null},{"id":"W2968230363","doi":"10.1002/stc.2437","title":"Seismic performance of a nonlinear energy sink with negative stiffness and sliding friction","year":2019,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; Guangzhou Science, Technology and Innovation Commission; Natural Science Foundation of Guangdong Province","keywords":"Nonlinear system; Sink (geography); Stiffness; Structural engineering; Geology; Materials science; Engineering; Physics; Geography","score_opus":0.009369110047118361,"score_gpt":0.22644334983269362,"score_spread":0.21707423978557527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968230363","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":[0.99709105,0.0011242061,0.0010386853,0.00014684201,0.0003400948,0.00013651371,0.000005718585,0.000060508162,0.000056350218],"genre_scores_gemma":[0.99904215,0.0003213374,0.00035314832,0.000036136473,0.00020586116,0.0000070624023,0.0000018288964,0.000010583662,0.00002186475],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935347,0.000018434283,0.00019686372,0.00013612176,0.000095497424,0.00019962277],"domain_scores_gemma":[0.999712,0.000050117455,0.00004880801,0.000062383275,0.000043071188,0.00008360479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000650057,0.00012657385,0.00026587993,0.000048607933,0.0001158548,0.000020500245,0.00003416291,0.000050847928,0.000003856526],"category_scores_gemma":[0.0000035590774,0.000088484485,0.00001485965,0.000077597804,0.000022549326,0.0001846149,0.000010861723,0.000116180956,3.876605e-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":[0.0011669137,0.00001290373,0.524507,0.0019365932,0.00030332588,0.0000033309302,0.00214767,0.18129082,0.053268522,0.003393642,0.000010654302,0.23195861],"study_design_scores_gemma":[0.0014799488,0.00023940254,0.33795542,0.00009417388,0.00000857516,0.000008193627,0.00009489732,0.65910447,0.0008090762,0.00005236057,0.0000400571,0.000113459864],"about_ca_topic_score_codex":0.000107829095,"about_ca_topic_score_gemma":0.0000048446614,"teacher_disagreement_score":0.47781363,"about_ca_system_score_codex":0.000028980683,"about_ca_system_score_gemma":0.000017214414,"threshold_uncertainty_score":0.36082926},"labels":[],"label_agreement":null},{"id":"W2998750641","doi":"10.1002/stc.2503","title":"Multimode vibration control of stay cables using optimized negative stiffness damper","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":45,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stiffness; Tuned mass damper; Vibration; Structural engineering; Damper; Deck; Engineering; Vibration control; Control theory (sociology); Linear-quadratic-Gaussian control; Multi-mode optical fiber; Modal; Optimal control; Computer science; Control (management); Acoustics; Materials science; Physics; Mathematics","score_opus":0.038261471639496364,"score_gpt":0.2873805510906234,"score_spread":0.24911907945112702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998750641","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":[0.78173286,0.0031637398,0.21158929,0.0016258728,0.00074124587,0.0007699133,0.00010627094,0.00023616481,0.000034614197],"genre_scores_gemma":[0.9943601,0.000093479,0.004715512,0.00026643576,0.00052118587,0.000014605211,0.0000051315897,0.000021223275,0.0000023481198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867433,0.000088357825,0.00050468236,0.00022378741,0.000175077,0.00033374678],"domain_scores_gemma":[0.9993211,0.00013549652,0.00010539127,0.000088615736,0.00009691444,0.00025247727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012836223,0.00022318946,0.00057826116,0.000046771907,0.00020495903,0.00004512041,0.00008920637,0.000097017895,0.000022158742],"category_scores_gemma":[0.000060545513,0.00017663218,0.000064261985,0.00011644092,0.000058668687,0.0002928099,0.00001661574,0.00020719429,7.347964e-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":[0.00066999136,0.0000070523347,0.009135364,0.00042547376,0.0002276622,0.0000037732723,0.0019559248,0.85165536,0.11941875,0.0008114085,0.000013384816,0.015675856],"study_design_scores_gemma":[0.005114184,0.00010414771,0.03402205,0.000044036056,0.00003037601,0.0000018759032,0.00020846415,0.9589632,0.0011646223,0.00014798477,0.000013586198,0.00018545006],"about_ca_topic_score_codex":0.00021882639,"about_ca_topic_score_gemma":0.0000050008475,"teacher_disagreement_score":0.2126272,"about_ca_system_score_codex":0.00005509688,"about_ca_system_score_gemma":0.000046948877,"threshold_uncertainty_score":0.7202851},"labels":[],"label_agreement":null},{"id":"W3011200270","doi":"10.1002/stc.2551","title":"CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":342,"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":"Natural Science Foundation of Shaanxi Province","keywords":"Convolutional neural network; Artificial intelligence; Computer science; Net (polyhedron); Pattern recognition (psychology); Artificial neural network; Mathematics; Geometry","score_opus":0.021878785533433785,"score_gpt":0.26103335284542317,"score_spread":0.2391545673119894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011200270","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":[0.79826486,0.007320361,0.17790331,0.0027833476,0.0109496415,0.0019214391,0.000107483174,0.00070506474,0.000044491564],"genre_scores_gemma":[0.98879015,0.000069827416,0.0033965728,0.00047438813,0.0071228677,0.00008649438,0.0000105374875,0.000043220385,0.000005960533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983598,0.000016229575,0.0004181357,0.00030014134,0.00017999313,0.0007256736],"domain_scores_gemma":[0.99934083,0.000057648343,0.000096537224,0.00010269129,0.00008774032,0.0003145496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014001658,0.00028169705,0.00036667977,0.00003800148,0.00045923053,0.0000740375,0.00010218323,0.00009296383,0.0000047485296],"category_scores_gemma":[0.000020862899,0.00026251507,0.000087346074,0.00011192007,0.00003374718,0.00019815564,0.000026097758,0.00030723115,0.0000013247779],"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":[0.0006022199,0.000008978248,0.039511386,0.0016945199,0.0003666484,0.000007722133,0.0024045226,0.6858384,0.048578206,0.0012867341,0.0005570588,0.21914361],"study_design_scores_gemma":[0.0044324473,0.00044979987,0.1875861,0.00010640247,0.000053572745,0.00002403373,0.00030340036,0.7996711,0.0011920698,0.0007096014,0.00488038,0.00059107767],"about_ca_topic_score_codex":0.000050096613,"about_ca_topic_score_gemma":0.000022483207,"teacher_disagreement_score":0.21855254,"about_ca_system_score_codex":0.00017151199,"about_ca_system_score_gemma":0.000029340772,"threshold_uncertainty_score":0.9999827},"labels":[],"label_agreement":null},{"id":"W3033288198","doi":"10.1002/stc.2577","title":"Structural damage detection under multiple stiffness and mass changes using time series models and adaptive zero‐phase component analysis","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stiffness; Autoregressive model; Structural health monitoring; Component (thermodynamics); A priori and a posteriori; Acceleration; Computer science; Time series; Series (stratigraphy); Structural engineering; Engineering; Control theory (sociology); Mathematics; Artificial intelligence; Statistics; Machine learning; Physics; Geology","score_opus":0.06548740393692003,"score_gpt":0.3158946323724727,"score_spread":0.25040722843555263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033288198","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":[0.9898092,0.0027584021,0.0054210476,0.00042427354,0.00041714986,0.0005913573,0.000093762195,0.00048237585,0.0000024272786],"genre_scores_gemma":[0.99396133,0.00030749483,0.0050595608,0.00006539065,0.0005203784,0.000022693257,0.000010455647,0.000050974762,0.0000017245422],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981553,0.00009078343,0.00043304387,0.00048688456,0.00024150261,0.00059250504],"domain_scores_gemma":[0.9989927,0.00009328582,0.00015188614,0.00016332151,0.00007998828,0.0005188215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013172835,0.00043292253,0.00075462967,0.00020687307,0.00058151915,0.0001352031,0.00010187077,0.00014986857,0.0000024540118],"category_scores_gemma":[0.000012168439,0.00040386862,0.00005208287,0.0003153672,0.00011218064,0.0005216675,0.0000732609,0.00039746184,1.7524879e-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":[0.002736605,0.000010935112,0.04741957,0.004048677,0.0025187614,0.00006106535,0.010612029,0.36794445,0.20975655,0.00068402424,0.0000111187155,0.35419622],"study_design_scores_gemma":[0.0014761772,0.00020220551,0.15135136,0.000055742992,0.00015113072,0.000018924815,0.00030622538,0.84393066,0.0011822075,0.00096749136,0.0000050227045,0.00035284617],"about_ca_topic_score_codex":0.00063264417,"about_ca_topic_score_gemma":0.00005093385,"teacher_disagreement_score":0.4759862,"about_ca_system_score_codex":0.0002173734,"about_ca_system_score_gemma":0.000023213206,"threshold_uncertainty_score":0.99984133},"labels":[],"label_agreement":null},{"id":"W3033909304","doi":"10.1002/stc.2573","title":"Damage detection framework for truss railway bridges utilizing statistical analysis of operational strain response","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":19,"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 Alberta","funders":"Networks of Centres of Excellence of Canada","keywords":"Structural engineering; Truss bridge; Truss; Bridge (graph theory); Parametric statistics; Finite element method; Engineering; Matrix (chemical analysis); Computer science; Mathematics; Statistics; Materials science","score_opus":0.045355518912870735,"score_gpt":0.358399410141418,"score_spread":0.31304389122854726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033909304","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":[0.8925225,0.0005635721,0.103780456,0.0010180472,0.0006093477,0.0005454752,0.000665321,0.00029295246,0.0000023362127],"genre_scores_gemma":[0.9706694,0.00005921122,0.028385252,0.00011283127,0.0006633231,0.000052223324,0.000025151005,0.000031783813,8.074363e-7],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99830544,0.00013320384,0.000601835,0.0003018325,0.0002315556,0.00042613168],"domain_scores_gemma":[0.9985461,0.0007892184,0.00011944362,0.00014419919,0.00009364767,0.00030739597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051975675,0.00023013288,0.0005976866,0.00018335249,0.00026709266,0.000052973413,0.00012238482,0.00013308408,0.000008423714],"category_scores_gemma":[0.00032386908,0.00022202087,0.000090995876,0.00035260312,0.00005495158,0.00015100706,0.000021097205,0.00032713785,2.1689375e-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":[0.006351271,0.000014813974,0.12860367,0.004448208,0.0022105812,0.000014109713,0.009011924,0.054267082,0.04701145,0.0242704,0.00009603032,0.72370046],"study_design_scores_gemma":[0.0005339257,0.0002852291,0.7670898,0.00005645472,0.000115004244,0.0000017046525,0.00026026237,0.22850545,0.0019780968,0.00091372314,0.000071556075,0.00018882779],"about_ca_topic_score_codex":0.000110774694,"about_ca_topic_score_gemma":0.000010675312,"teacher_disagreement_score":0.72351164,"about_ca_system_score_codex":0.00016569007,"about_ca_system_score_gemma":0.000059107777,"threshold_uncertainty_score":0.9053748},"labels":[],"label_agreement":null},{"id":"W3045392042","doi":"10.1002/stc.2610","title":"Impact of support stiffness on the performance of negative stiffness dampers for vibration control of stay cables","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":30,"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 Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stiffness; Damper; Structural engineering; Vibration; Vibration control; Materials science; Engineering; Acoustics; Physics","score_opus":0.02963657697373704,"score_gpt":0.28972391735470204,"score_spread":0.260087340380965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045392042","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":[0.9955388,0.00028372166,0.0024290064,0.00061562064,0.00021675375,0.0006618856,0.00021047326,0.000029149598,0.000014610663],"genre_scores_gemma":[0.99955577,0.000056843306,0.00007095052,0.000065436136,0.00019977466,0.000029686616,0.0000064137425,0.000012529699,0.0000025924035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989366,0.000047628648,0.00048930035,0.0001360325,0.00016052242,0.00022993899],"domain_scores_gemma":[0.9991328,0.00034127402,0.00017467214,0.00009508394,0.00014749366,0.00010864104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001747395,0.00016609585,0.00050519157,0.00003820161,0.00011376555,0.000011734622,0.00010596874,0.000061057166,0.000015708723],"category_scores_gemma":[0.00007273334,0.00009873069,0.0000988375,0.000103707716,0.00008053561,0.00013931145,0.000008969332,0.00012615642,1.4818708e-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":[0.0059427335,0.000035591675,0.10278724,0.0029796914,0.0009570678,8.8279626e-7,0.0054097134,0.50385565,0.30906045,0.005526568,0.00010396865,0.063340455],"study_design_scores_gemma":[0.003746076,0.0014460133,0.57231367,0.00007810304,0.000034391254,6.551232e-7,0.00027865573,0.41636553,0.005505875,0.000092330505,0.0000053515946,0.00013335902],"about_ca_topic_score_codex":0.0000655824,"about_ca_topic_score_gemma":0.0000028596112,"teacher_disagreement_score":0.4695264,"about_ca_system_score_codex":0.000035447963,"about_ca_system_score_gemma":0.00007174073,"threshold_uncertainty_score":0.40261206},"labels":[],"label_agreement":null},{"id":"W3112754040","doi":"10.1002/stc.2669","title":"Shape memory alloy‐based centrifugal stiffening for response reduction of horizontal axis wind turbine blade","year":2020,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Engineering and Vibration 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":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Stiffening; Structural engineering; Aerodynamics; Turbine blade; Vibration; Engineering; SMA*; Turbine; Wind speed; Shape-memory alloy; Serviceability (structure); Materials science; Mechanical engineering; Computer science; Acoustics; Physics; Aerospace engineering","score_opus":0.024017151187683303,"score_gpt":0.27224467035416233,"score_spread":0.24822751916647903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112754040","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":[0.9899508,0.0012873246,0.0058647403,0.0014998371,0.0007816927,0.0003388755,0.000055186887,0.0002170978,0.0000044465864],"genre_scores_gemma":[0.9969118,0.000025760035,0.0022121128,0.00004380461,0.000745625,0.000010156998,0.000016282416,0.000031043946,0.0000034197762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988166,0.000039771046,0.00041948285,0.00022924178,0.00017089273,0.0003239791],"domain_scores_gemma":[0.9994039,0.000085183114,0.000093719354,0.00009981335,0.00006221054,0.00025519618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016669635,0.00021373884,0.0004209611,0.000102568905,0.0001517015,0.000031584717,0.00008312112,0.00007976909,0.000012504369],"category_scores_gemma":[0.000057581237,0.00020149375,0.000104813844,0.00017799405,0.00003465897,0.00013986071,0.000009682479,0.00019447035,4.0426713e-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":[0.0017809728,0.000003308854,0.0012069432,0.0009541273,0.00022869334,0.000002979855,0.0014350335,0.6025688,0.3351977,0.00004842445,0.00007753582,0.056495503],"study_design_scores_gemma":[0.0025289177,0.0003411724,0.03774436,0.000069876674,0.000054203185,0.0000058681226,0.0003997912,0.94134235,0.01710868,0.0000113179985,0.00014004897,0.0002534067],"about_ca_topic_score_codex":0.000050041894,"about_ca_topic_score_gemma":0.0000012762216,"teacher_disagreement_score":0.33877355,"about_ca_system_score_codex":0.000094854935,"about_ca_system_score_gemma":0.00004613961,"threshold_uncertainty_score":0.8216677},"labels":[],"label_agreement":null},{"id":"W3133724915","doi":"10.1002/stc.2720","title":"Anomaly detection using state‐space models and reinforcement learning","year":2021,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":19,"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":"Anomaly detection; Interpretability; Reinforcement learning; Computer science; Artificial intelligence; Univariate; Anomaly (physics); Bayesian probability; Machine learning; Data mining; Multivariate statistics","score_opus":0.03536080234147399,"score_gpt":0.31392497046154094,"score_spread":0.27856416812006696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133724915","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":[0.35668558,0.0008971478,0.641524,0.0005078179,0.00011855768,0.00012543668,4.3637203e-7,0.00010943625,0.00003157348],"genre_scores_gemma":[0.98706096,0.00025520223,0.012418141,0.000073157265,0.00010141187,0.000013442072,4.0102316e-7,0.0000062278928,0.00007102617],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913186,0.00004189836,0.00020084907,0.0002773908,0.00011228456,0.00023574264],"domain_scores_gemma":[0.99952364,0.000020422141,0.000114163944,0.00013634299,0.00007841883,0.00012701197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014599168,0.000104602674,0.00015158017,0.000051561296,0.0006598098,0.00015884702,0.0000668626,0.000034924487,7.8891605e-7],"category_scores_gemma":[0.0000051102456,0.00010149707,0.000022921615,0.0001480781,0.000019212399,0.0003810657,0.00008258805,0.00017308076,2.1843131e-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":[0.000042294025,0.0000103352495,0.023017533,0.00026884684,0.0000795179,0.000015726588,0.002878716,0.10479116,0.04851835,0.028478928,0.0000048336897,0.7918938],"study_design_scores_gemma":[0.00042794383,0.000114062,0.0192953,0.000032530934,0.0000054238217,0.0000709751,0.00012464062,0.9689406,0.0059835906,0.0046276744,0.00021891405,0.00015830794],"about_ca_topic_score_codex":0.00046901967,"about_ca_topic_score_gemma":0.000014897563,"teacher_disagreement_score":0.86414945,"about_ca_system_score_codex":0.000079983794,"about_ca_system_score_gemma":0.000059485803,"threshold_uncertainty_score":0.507479},"labels":[],"label_agreement":null},{"id":"W3192075406","doi":"10.1002/stc.2823","title":"Static and dynamic vehicle load identification with lane detection from measured bridge acceleration and inclination responses","year":2021,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":22,"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":"Japan Society for the Promotion of Science; Council for Science, Technology and Innovation; Shanghai Education Development Foundation; Shanghai Municipal Education Commission; Swine Innovation Porc","keywords":"Accelerometer; Acceleration; Dynamic load testing; Structural engineering; Strain gauge; Bridge (graph theory); Dynamic testing; Engineering; Transverse plane; Displacement (psychology); Vehicle dynamics; Sensitivity (control systems); Kalman filter; Position (finance); Structural health monitoring; Control theory (sociology); Computer science; Automotive engineering; Electronic engineering","score_opus":0.02854917710816587,"score_gpt":0.31735959430109006,"score_spread":0.2888104171929242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192075406","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":[0.9932877,0.003699628,0.00139227,0.00054883095,0.00046701162,0.00031554705,0.000028881139,0.00025789966,0.0000022402867],"genre_scores_gemma":[0.99744195,0.000845368,0.0013928638,0.000029478519,0.0002116703,0.000032251075,0.000015884163,0.000024057992,0.0000064648025],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988464,0.000095709634,0.00032124043,0.00028180645,0.00022005555,0.00023477826],"domain_scores_gemma":[0.999376,0.00011323083,0.00009885495,0.00013451802,0.00014663064,0.00013076083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002452069,0.00017032484,0.00023592947,0.00007097353,0.00033152857,0.00014128406,0.000035709578,0.000081385726,9.661595e-7],"category_scores_gemma":[0.00005040193,0.00015955197,0.000010687026,0.00011149898,0.000034350785,0.00033025505,0.00001798552,0.00021509393,2.7321812e-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":[0.00035321046,0.000003950292,0.0928219,0.0007551562,0.0000730015,0.000010622418,0.002047864,0.00026869323,0.10342994,0.00004686284,0.0000053974827,0.8001834],"study_design_scores_gemma":[0.00084050186,0.00008695647,0.9635865,0.00011062149,0.00001935302,0.000025214935,0.000108088294,0.028134832,0.006065689,0.00085490034,0.000016111157,0.00015122276],"about_ca_topic_score_codex":0.0007924678,"about_ca_topic_score_gemma":0.00041198125,"teacher_disagreement_score":0.8707646,"about_ca_system_score_codex":0.00030017179,"about_ca_system_score_gemma":0.00006057129,"threshold_uncertainty_score":0.65063405},"labels":[],"label_agreement":null},{"id":"W3196277542","doi":"10.1002/stc.2836","title":"A new nonlinear model to describe the degradation law of the mechanical properties of lead‐rubber bearings under high‐speed horizontal loading","year":2021,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":27,"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":"National Natural Science Foundation of China","keywords":"Degradation (telecommunications); Nonlinear system; Natural rubber; Structural engineering; Materials science; Core (optical fiber); Duration (music); Computer science; Engineering; Composite material; Physics","score_opus":0.03729852977354618,"score_gpt":0.2601228843996653,"score_spread":0.2228243546261191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196277542","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":[0.99499613,0.0009179904,0.002181123,0.0014639968,0.0002752997,0.00012258414,0.000006178266,0.000022444246,0.000014276309],"genre_scores_gemma":[0.9983324,0.000058451278,0.001156626,0.00017232458,0.00021189131,0.000002743369,0.0000012887187,0.000011981302,0.00005233928],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919474,0.00001899565,0.00028360778,0.00011797855,0.0001793829,0.00020528147],"domain_scores_gemma":[0.9996511,0.000014299934,0.000056832192,0.0001507231,0.000061558414,0.0000655011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109423156,0.000110748304,0.0002502133,0.000026275624,0.00016065591,0.000026123926,0.000109268105,0.000040759114,0.0000016439081],"category_scores_gemma":[0.000008411902,0.000065342065,0.000064467415,0.00014792703,0.000024561934,0.00011989915,0.00004059856,0.00016154013,3.1874745e-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":[0.00008437325,0.0000068727504,0.0024293226,0.00037426394,0.00025107872,7.3835e-7,0.002128335,0.17881905,0.7864825,0.0059248693,0.000037733073,0.023460861],"study_design_scores_gemma":[0.0010159892,0.00006322037,0.007106196,0.0003295559,0.00009604235,0.000009238863,0.001270258,0.7122766,0.2768505,0.00074777135,0.000036063157,0.00019856947],"about_ca_topic_score_codex":0.001576374,"about_ca_topic_score_gemma":0.00015743787,"teacher_disagreement_score":0.5334575,"about_ca_system_score_codex":0.000060917002,"about_ca_system_score_gemma":0.00006969005,"threshold_uncertainty_score":0.26645723},"labels":[],"label_agreement":null},{"id":"W4293052772","doi":"10.1002/stc.3023","title":"Multichannel intelligent fault diagnosis of hoisting system using differential search algorithm‐variational mode decomposition and improved deep convolutional neural network","year":2022,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Non-Destructive Testing 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":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Fault (geology); Convolutional neural network; Feature extraction; Artificial neural network; Hilbert–Huang transform; Algorithm; Pattern recognition (psychology); Artificial intelligence; SIGNAL (programming language); Computer science; Identification (biology); Feature (linguistics); Engineering; Mode (computer interface); Computer vision","score_opus":0.029384223409399803,"score_gpt":0.3262654530006385,"score_spread":0.2968812295912387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293052772","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":[0.9080477,0.0012143796,0.08900448,0.000032560478,0.0009235081,0.00045288735,0.00011754617,0.00020404201,0.00000290479],"genre_scores_gemma":[0.8931412,0.000019298403,0.10614841,0.000006363289,0.000558747,0.00007557037,0.000024051991,0.000026194402,1.3233384e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985222,0.00012837468,0.00044711062,0.0002450917,0.00025579473,0.00040141033],"domain_scores_gemma":[0.999351,0.0001926034,0.00013840309,0.00008797967,0.000098482626,0.0001314871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025828806,0.00019947258,0.0003411788,0.00010073321,0.00067945535,0.000040588457,0.000093009745,0.000048479385,0.0000033743338],"category_scores_gemma":[0.00001293718,0.00021353766,0.00004260208,0.00011559378,0.000050469665,0.0001171973,0.00011288914,0.00035030133,2.9589646e-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":[0.00020392079,0.000024386187,0.25425765,0.0015847773,0.00030552744,0.0000097441325,0.0015929689,0.6714019,0.019866744,0.0056946077,0.000004315199,0.04505347],"study_design_scores_gemma":[0.0005870099,0.00009984218,0.084804066,0.000088375,0.000023574916,0.00005146089,0.00016684966,0.91281384,0.0001759801,0.0010324831,2.7407503e-7,0.00015622465],"about_ca_topic_score_codex":0.0010745797,"about_ca_topic_score_gemma":0.000007795909,"teacher_disagreement_score":0.24141195,"about_ca_system_score_codex":0.0005084872,"about_ca_system_score_gemma":0.000037532973,"threshold_uncertainty_score":0.87078124},"labels":[],"label_agreement":null},{"id":"W4294093842","doi":"10.1002/stc.3064","title":"Acoustic emission sources localization and identification of complex metallic structures based on nearfield frequency space sparse decomposition","year":2022,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Ultrasonics and Acoustic Wave Propagation","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":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; National Natural Science Foundation of China","keywords":"Acoustic emission; SIGNAL (programming language); Structural health monitoring; Identification (biology); Acoustics; Computer science; Frequency domain; Algorithm; Biological system; Physics; Engineering; Computer vision; Structural engineering","score_opus":0.01870420291399006,"score_gpt":0.2775892860685275,"score_spread":0.25888508315453745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294093842","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":[0.96431065,0.001002162,0.03358311,0.00029131476,0.00039571605,0.00029608607,0.0000432947,0.00006346216,0.000014198168],"genre_scores_gemma":[0.9991148,0.00005704314,0.0006154596,0.000048103746,0.000103498685,0.000014695776,0.000028954908,0.000014827823,0.0000025946445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907774,0.00005574932,0.00029687487,0.00016099525,0.0002484623,0.00016016896],"domain_scores_gemma":[0.9995887,0.000060459883,0.00013356828,0.00009182208,0.000049288585,0.00007613884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022624312,0.0001221321,0.00018455017,0.000092159884,0.00040712397,0.000041427305,0.000050915078,0.000034109777,0.000014331777],"category_scores_gemma":[0.000020687628,0.000116354175,0.000021856642,0.000096442556,0.000023588633,0.000074273135,0.0000127276735,0.00015998502,9.406801e-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":[0.000040855455,0.00000594836,0.011066689,0.00037145457,0.000020155738,8.13609e-7,0.00034040265,0.77936023,0.20145778,0.00045522087,0.000016818174,0.006863636],"study_design_scores_gemma":[0.0006019406,0.00014714539,0.10231227,0.000036402365,0.00002871457,0.000005128745,0.00020294602,0.89214224,0.0027834484,0.001600303,0.000015459163,0.00012403715],"about_ca_topic_score_codex":0.000099925826,"about_ca_topic_score_gemma":0.0000033228944,"teacher_disagreement_score":0.19867434,"about_ca_system_score_codex":0.00009880604,"about_ca_system_score_gemma":0.00002479824,"threshold_uncertainty_score":0.47447854},"labels":[],"label_agreement":null},{"id":"W4365137755","doi":"10.1155/2023/7307224","title":"Theoretical and Experimental Analysis of a Winding Rope Fluid Viscous Damper","year":2023,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Damper; Rope; Parametric statistics; Structural engineering; Displacement (psychology); Engineering; Wire rope; Control theory (sociology); Mechanics; Computer science; Mathematics; Physics","score_opus":0.015010199579735947,"score_gpt":0.2983600254330521,"score_spread":0.2833498258533162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365137755","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":[0.99532527,0.0032530408,0.00035309067,0.00036024535,0.00032528292,0.00013349562,0.000016749513,0.00014582106,0.00008701963],"genre_scores_gemma":[0.99942225,0.00022072515,0.00009010145,0.000048324404,0.00018539465,0.000010696235,0.0000062970093,0.000010728999,0.0000054893617],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991046,0.000034425444,0.00028322302,0.00016618414,0.00012924468,0.00028228282],"domain_scores_gemma":[0.9996433,0.00007982035,0.00002707867,0.00008350036,0.000019303843,0.00014698807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018472529,0.00013284132,0.00039778292,0.0001752336,0.00015719804,0.00003357936,0.00005160923,0.000059239715,0.0000352754],"category_scores_gemma":[0.000014111406,0.00009886958,0.000058283822,0.0003168021,0.000094654984,0.000089630805,0.000029350338,0.00010626919,0.0000010570596],"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":[0.0003969654,0.000022414653,0.37073183,0.00056257594,0.0030685288,0.0000350988,0.006527997,0.08555015,0.33627525,0.15657187,0.00012389683,0.040133454],"study_design_scores_gemma":[0.00109928,0.00015243831,0.42865014,0.000028262384,0.000109857996,0.0000038104881,0.00039238465,0.5674703,0.0013332142,0.00056196406,0.000022045017,0.00017630961],"about_ca_topic_score_codex":0.00003223673,"about_ca_topic_score_gemma":0.0000023091714,"teacher_disagreement_score":0.48192015,"about_ca_system_score_codex":0.00002679723,"about_ca_system_score_gemma":0.0000087499375,"threshold_uncertainty_score":0.40317845},"labels":[],"label_agreement":null},{"id":"W4393926723","doi":"10.1155/2024/5436675","title":"Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data","year":2024,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":19,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Computer science; Biology","score_opus":0.06207019356776121,"score_gpt":0.3553190723977712,"score_spread":0.29324887883001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393926723","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":[0.9852314,0.008313964,0.0018293435,0.00019179418,0.0031375454,0.00047264155,0.000087601584,0.0007076838,0.000028012844],"genre_scores_gemma":[0.994651,0.00044168878,0.0038687796,0.000022451433,0.00093014934,0.00000616896,0.000018241248,0.000059103364,0.000002375251],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979694,0.00008032912,0.0006886379,0.00044585814,0.0002520975,0.00056371436],"domain_scores_gemma":[0.99907804,0.00016231052,0.000086558,0.00049689546,0.000042142347,0.00013408152],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003297267,0.00031167356,0.0005479976,0.00021782107,0.00016072651,0.000095571864,0.00026040303,0.00014700516,0.0000028552683],"category_scores_gemma":[0.000027730028,0.00029074206,0.000040821746,0.00033490142,0.00007367429,0.0004893723,0.00010242528,0.0006063425,5.594608e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001896354,0.0000042113575,0.020053549,0.0075400574,0.00017006921,0.00006230248,0.00444208,0.0060490626,0.03461646,0.00042707202,0.00016000259,0.9262855],"study_design_scores_gemma":[0.000837988,0.00009113819,0.7975461,0.0007521679,0.000021874812,0.000050706836,0.000119918775,0.18687402,0.010295384,0.002766012,0.00029790905,0.00034678754],"about_ca_topic_score_codex":0.0029553014,"about_ca_topic_score_gemma":0.00015311566,"teacher_disagreement_score":0.9259387,"about_ca_system_score_codex":0.00023169674,"about_ca_system_score_gemma":0.000054331613,"threshold_uncertainty_score":0.99995446},"labels":[],"label_agreement":null},{"id":"W7089616119","doi":"10.1155/stc/8624965","title":"Multibridge Inference Structural Health Monitoring (MISHM): A Drive‐By Crowdsensing Approach at the Network Level","year":2025,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","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":"University of Alberta","funders":"Alberta Innovates; China Scholarship Council","keywords":"Structural health monitoring; Bridge (graph theory); Inference; Crowdsensing; Scalability; Wireless sensor network; Participatory sensing","score_opus":0.04701595687298019,"score_gpt":0.3224977144766632,"score_spread":0.275481757603683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7089616119","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":[0.96988857,0.02293617,0.0002202307,0.003223718,0.0025416368,0.00069462357,0.00021211356,0.00013933112,0.00014361012],"genre_scores_gemma":[0.9960781,0.0005829404,0.0016102378,0.0003720736,0.0010738501,0.000005293695,0.000047489004,0.000012813269,0.0002172497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99658054,0.00038909464,0.00067196577,0.0006432423,0.00040873347,0.0013064409],"domain_scores_gemma":[0.9981222,0.000710971,0.00034143147,0.00036471788,0.000073925185,0.00038674998],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007703251,0.00042386923,0.0006435733,0.000082121674,0.002786814,0.00032427264,0.00033045522,0.00011726446,0.000016444232],"category_scores_gemma":[0.00009462548,0.00029717872,0.00009227099,0.00035808,0.00020868189,0.0002975927,0.00008840521,0.00058213755,0.0000050252434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016503749,0.0000015194775,0.8525877,0.00017184103,0.00004757579,0.0000024337298,0.00044523337,0.005695358,0.00007290865,0.000034908404,0.00022019888,0.14055528],"study_design_scores_gemma":[0.0010051193,0.00009851986,0.9818126,0.00023420494,0.00001642948,0.000026673828,0.0003565278,0.015437598,0.000053048952,0.0001567759,0.0005397101,0.00026276865],"about_ca_topic_score_codex":0.0137792695,"about_ca_topic_score_gemma":0.0013298797,"teacher_disagreement_score":0.14029251,"about_ca_system_score_codex":0.00013978471,"about_ca_system_score_gemma":0.00029737156,"threshold_uncertainty_score":0.999948},"labels":[],"label_agreement":null}]}