{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":11,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":11,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"326136982ad3","filters":{"venue":"Journal of Infrastructure Preservation and Resilience"}},"results":[{"id":"W3173478214","doi":"10.1186/s43065-021-00030-5","title":"An algorithm to simulate nonstationary and non-Gaussian stochastic processes","year":2021,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Chinese Government Scholarship; China Scholarship Council","keywords":"Algorithm; Spectral density; Fourier transform; Wavelet transform; Discrete Fourier transform (general); Harmonic wavelet transform; Gaussian; Mathematics; Gaussian process; Spectral density estimation; Fractional Fourier transform; Frequency domain; Computer science; Wavelet; Mathematical optimization; Discrete wavelet transform; Fourier analysis; Artificial intelligence; Mathematical analysis","authors":[{"name":"Han Hong","is_ca":true},{"name":"X.Z. Cui","is_ca":true},{"name":"D. Qiao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007977310696898226,"gpt":0.283547763722135,"spread":0.2755704530252368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003404566,0.00010086,0.0001585348,0.0001387142,0.0001476397,0.0002902713,0.000312751,0.00004817014,0.000006856795],"category_scores_gemma":[0.0004612686,0.00007799045,0.00001772972,0.000490506,0.00004878582,0.001692216,0.0001092331,0.0001625083,3.91455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001266842,"about_ca_system_score_gemma":0.0002830412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003061602,"about_ca_topic_score_gemma":0.000001893679,"domain_scores_codex":[0.9989566,0.00009667182,0.0002939106,0.0002061602,0.0003138456,0.0001328528],"domain_scores_gemma":[0.9986147,0.0001367139,0.0001725051,0.00017407,0.0007118334,0.0001901948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001208439,0.0001132134,0.002813102,0.0002118732,0.00005215815,0.000376864,0.01004861,0.1667667,0.09675062,0.001602473,0.001212262,0.7199313],"study_design_scores_gemma":[0.001728946,0.0008123656,0.2828678,0.0003782258,0.00003426574,0.001643886,0.0006141121,0.6518708,0.01552623,0.04329885,0.0007435275,0.0004810067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1071438,0.0003281983,0.8912067,0.001076068,0.0001396073,0.00005926789,0.000001645612,0.000008760847,0.00003595933],"genre_scores_gemma":[0.4996405,0.00003733888,0.4995116,0.0006794577,0.00007659932,8.116209e-7,7.914588e-7,0.000003973435,0.00004893248],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7194503,"threshold_uncertainty_score":0.3180358,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226077772","doi":"10.1186/s43065-022-00051-8","title":"Acoustic emission-based damage localization using wavelet-assisted deep learning","year":2022,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Mitacs; Ministry of Education, Libya","keywords":"Hilbert–Huang transform; Spectrogram; Acoustic emission; Convolutional neural network; Computer science; Pattern recognition (psychology); Wavelet; Artificial intelligence; Wavelet transform; Feature extraction; Artificial neural network; Deep learning; Acoustics; Computer vision; Filter (signal processing)","authors":[{"name":"Mohamed Barbosh","is_ca":true},{"name":"Kyle Dunphy","is_ca":true},{"name":"Ayan Sadhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01171380404693253,"gpt":0.2657809785019641,"spread":0.2540671744550316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002720186,0.0001181921,0.0001602703,0.0002079211,0.0003592632,0.0000400374,0.0001984118,0.00006290157,0.00006532994],"category_scores_gemma":[0.000219613,0.0001035059,0.00003263085,0.0003708747,0.00003805904,0.0002910604,0.00006023797,0.0005652513,5.757174e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002123226,"about_ca_system_score_gemma":0.00006647762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007656864,"about_ca_topic_score_gemma":7.929267e-7,"domain_scores_codex":[0.9988316,0.000102873,0.0004079495,0.00009972847,0.0003972755,0.0001605293],"domain_scores_gemma":[0.9992983,0.00009243865,0.0002473783,0.000104174,0.0001593145,0.00009838452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003070282,0.000003226726,0.01538978,0.00009580587,0.000005863124,0.000008460789,0.0002207996,0.9458544,0.02180719,0.000009751735,0.0002011113,0.0163729],"study_design_scores_gemma":[0.0002231505,0.00008743777,0.144573,0.00006221083,0.00001238025,0.00008331946,0.0002112883,0.8504776,0.002731448,0.0003928338,0.001041579,0.0001036966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916974,0.0002773851,0.1073556,0.0000484683,0.0004096216,0.00009443749,0.000001522777,0.00008335181,0.00003220294],"genre_scores_gemma":[0.9843173,0.00004826446,0.01542734,0.00006710525,0.000104722,0.000002733997,0.000003353614,0.00001804615,0.0000110995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1291832,"threshold_uncertainty_score":0.4220849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385983712","doi":"10.1186/s43065-023-00085-6","title":"Interdependence of social-ecological-technological systems in Phoenix, Arizona: consequences of an extreme precipitation event","year":2023,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"National Institute of Standards and Technology; National Science Foundation","keywords":"Causal loop diagram; Computer science; Anthropocene; Climate change; Ecological systems theory; Earth system science; Resilience (materials science); Event (particle physics); Disturbance (geology); Complex adaptive system; Risk analysis (engineering); Adaptation (eye); Environmental resource management; System dynamics; Ecology; Environmental science; Business; Psychology; Artificial intelligence","authors":[{"name":"Alysha Helmrich","is_ca":false},{"name":"Amanda Kuhn","is_ca":false},{"name":"Anaís Roque","is_ca":false},{"name":"Ameyalli Santibanez","is_ca":false},{"name":"Yeowon Kim","is_ca":true},{"name":"Nancy B. Grimm","is_ca":false},{"name":"Mikhail Chester","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01595677587630663,"gpt":0.2644912682727464,"spread":0.2485344923964397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009086651,0.0001329494,0.0004154457,0.0004461397,0.00005108239,0.00002499452,0.0003437427,0.0002050934,0.00003604317],"category_scores_gemma":[0.000540608,0.00009752103,0.00007358693,0.0009001603,0.0004229006,0.000592055,0.00005152729,0.0003372408,3.349189e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005271074,"about_ca_system_score_gemma":0.00005661955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001832393,"about_ca_topic_score_gemma":0.00002290583,"domain_scores_codex":[0.9981757,0.0001596475,0.0009257178,0.0001493688,0.0004130407,0.0001764594],"domain_scores_gemma":[0.9989107,0.0001904434,0.0004362259,0.0001306857,0.0002794342,0.00005249181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00007311171,0.00003489137,0.02024884,0.000259503,0.00003698548,0.00001280085,0.001337495,0.7675387,0.1952953,0.002751864,0.00008108107,0.01232948],"study_design_scores_gemma":[0.0005066313,0.0003671118,0.7956026,0.0002042885,0.00003556182,0.00005994692,0.004645631,0.1596614,0.02568528,0.01285397,0.0001787333,0.0001988021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936253,0.0002383477,0.005593686,0.0001259357,0.0001337721,0.000135443,0.000007409945,0.00002814771,0.0001119364],"genre_scores_gemma":[0.9987186,0.0002779218,0.0009432069,0.000007435897,0.00002837095,0.000005004054,0.00000339761,0.000005329484,0.00001078296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7753538,"threshold_uncertainty_score":0.3976792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289544976","doi":"10.1186/s43065-022-00055-4","title":"Multiclass anomaly detection in imbalanced structural health monitoring data using convolutional neural network","year":2022,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"University of Illinois at Urbana-Champaign; Ministry of Colleges and Universities; Western University; Harbin Institute of Technology","keywords":"Anomaly detection; Computer science; Structural health monitoring; Convolutional neural network; Hyperparameter; Data mining; Anomaly (physics); Big data; Machine learning; Artificial intelligence; Engineering","authors":[{"name":"Mengchen Zhao","is_ca":true},{"name":"Ayan Sadhu","is_ca":true},{"name":"Miriam A. M. Capretz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01849641497267391,"gpt":0.2715726988179669,"spread":0.253076283845293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004729345,0.0001568078,0.0002533914,0.0001719561,0.0003119503,0.00005191977,0.0004081075,0.00005046887,0.00001305524],"category_scores_gemma":[0.00007331205,0.0001433241,0.00003200925,0.0003931484,0.00004991585,0.0009037945,0.000222705,0.0006895328,4.901866e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360307,"about_ca_system_score_gemma":0.00009488573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005472791,"about_ca_topic_score_gemma":0.00002229916,"domain_scores_codex":[0.9984196,0.00009826099,0.0005813952,0.000181117,0.0003872061,0.0003324164],"domain_scores_gemma":[0.9992526,0.00005256262,0.0002981039,0.000213094,0.00009262635,0.00009106663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005608812,0.000002153929,0.1412192,0.00003066451,0.00001307891,0.000008116519,0.0002741498,0.8397,0.01041921,0.00002013775,0.00008730099,0.00816993],"study_design_scores_gemma":[0.0004532894,0.00005612501,0.470636,0.0000405092,0.000005321584,0.0002190633,0.0003688779,0.5270345,0.0003691654,0.0003832561,0.0003276373,0.0001062478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905192,0.00141162,0.005350417,0.00008114638,0.002456131,0.0001310697,0.00001404181,0.00002495634,0.00001143219],"genre_scores_gemma":[0.9909577,0.00008771859,0.008218099,0.00004500505,0.0006638003,0.000002420317,0.000005831175,0.00001586953,0.00000360741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3294169,"threshold_uncertainty_score":0.5844588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3210011250","doi":"10.1186/s43065-021-00042-1","title":"A review of crack growth models for near-neutral pH stress corrosion cracking on oil and gas pipelines","year":2021,"lang":"en","type":"review","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Natural Resources Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stress corrosion cracking; Petroleum engineering; Corrosion; Cracking; Pipeline transport; Stress (linguistics); Materials science; Fossil fuel; Environmental science; Metallurgy; Forensic engineering; Composite material; Geology; Engineering; Waste management; Environmental engineering","authors":[{"name":"Haotian Sun","is_ca":true},{"name":"Wenxing Zhou","is_ca":true},{"name":"Jidong Kang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03507438461132509,"gpt":0.3311628624153811,"spread":0.2960884778040559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00111404,0.0003553498,0.001595077,0.0001488605,0.0001817703,0.0001667656,0.0004854286,0.0002165299,0.00008597712],"category_scores_gemma":[0.0007367819,0.0002370009,0.0003224689,0.0002878838,0.0001841635,0.0006255847,0.0001763235,0.0003582326,4.573371e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003157538,"about_ca_system_score_gemma":0.0003045164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003489282,"about_ca_topic_score_gemma":0.000001696968,"domain_scores_codex":[0.9969814,0.0002908852,0.001581172,0.0003719772,0.0005400893,0.0002344646],"domain_scores_gemma":[0.9961998,0.0003383768,0.002115192,0.0002780018,0.0009292265,0.000139335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008396623,0.0001082649,0.00008130066,0.1292628,0.000022353,0.00001468088,0.0001784272,0.0005072289,0.005445195,0.0008787991,0.004515381,0.8589016],"study_design_scores_gemma":[0.001369494,0.0008312687,0.00004643714,0.66312,0.002318866,0.0005569176,0.0001278902,0.001602532,0.0113958,0.004917357,0.3125935,0.00111995],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004322398,0.9933082,0.00131091,0.0001274891,0.0005093542,0.00028114,0.00009859091,0.000007333573,0.00003452442],"genre_scores_gemma":[0.0001683659,0.9932745,0.005986497,0.0002401756,0.0001652374,0.00002082731,0.00002717536,0.00002488679,0.00009240984],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8577816,"threshold_uncertainty_score":0.9664618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317569114","doi":"10.1186/s43065-022-00062-5","title":"Classification of failure modes of pipelines containing longitudinal surface cracks using mechanics-based and machine learning models","year":2023,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machine learning; Gradient boosting; Artificial intelligence; Random forest; Computer science; Decision tree; Naive Bayes classifier; Pipeline transport; Support vector machine; Boosting (machine learning); Algorithm; Failure mode and effects analysis; Fracture mechanics; Engineering; Structural engineering; Mechanical engineering","authors":[{"name":"Haotian Sun","is_ca":true},{"name":"Wenxing Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04142823575006829,"gpt":0.2662568600758257,"spread":0.2248286243257574,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004071255,0.0001165562,0.0003009115,0.0001987657,0.00007520059,0.00002586749,0.00012509,0.0001197816,0.00001036535],"category_scores_gemma":[0.0002610066,0.00008840017,0.00006392835,0.0004190818,0.00008973717,0.0004707562,0.0000314157,0.0003321269,4.065947e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002288925,"about_ca_system_score_gemma":0.00003553376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005197155,"about_ca_topic_score_gemma":0.00002563675,"domain_scores_codex":[0.998918,0.00005880276,0.0005398392,0.0001085246,0.000267012,0.0001078163],"domain_scores_gemma":[0.9989213,0.000165133,0.0003476157,0.00009414434,0.0004186365,0.00005316403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004752896,0.00000261898,0.02308482,0.0001742434,0.00003191698,7.949385e-7,0.0002658732,0.8171045,0.1583598,0.0003725635,0.00001007835,0.0005453112],"study_design_scores_gemma":[0.0002377737,0.00006113605,0.03120016,0.000148737,0.00004949856,0.00001335643,0.0007423508,0.9501079,0.01293033,0.004422814,0.000009686106,0.00007628382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059635,0.0005160148,0.09324095,0.0001405565,0.00004964155,0.0000534142,0.000007005781,0.000018114,0.00001074756],"genre_scores_gemma":[0.9910707,0.0003614376,0.008520924,0.000005401089,0.00002340855,2.811619e-7,0.000004385742,0.000008196956,0.00000529632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1454294,"threshold_uncertainty_score":0.3604854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4308317790","doi":"10.1186/s43065-022-00061-6","title":"Seismic collapse risk of RC-timber hybrid building with different energy dissipation connections considering NBCC 2020 hazard","year":2022,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissipation; Hazard; Structural engineering; Engineering; Forensic engineering; Physics; Biology; Ecology","authors":[{"name":"Ikenna Odikamnoro","is_ca":true},{"name":"Prakash S. Badal","is_ca":true},{"name":"Henry V. Burton","is_ca":false},{"name":"Solomon Tesfamariam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004004647256746508,"gpt":0.1989447804105376,"spread":0.1949401331537911,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001372638,0.0001144201,0.0002242457,0.0001745382,0.0002083972,0.00002958912,0.0001241402,0.00002322663,0.0000893455],"category_scores_gemma":[0.00005412121,0.00008611369,0.00005508025,0.0002910453,0.00005174926,0.0003476819,0.0000481803,0.0002308642,4.351412e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006228811,"about_ca_system_score_gemma":0.00003981835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002427071,"about_ca_topic_score_gemma":0.00001594084,"domain_scores_codex":[0.9990516,0.00005178196,0.0003798938,0.00009622419,0.0003043964,0.000116103],"domain_scores_gemma":[0.9993052,0.00007699709,0.0003195919,0.0001101256,0.0001236416,0.00006438456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005195409,0.000009180592,0.05986404,0.00002787737,0.00009069673,0.000004417615,0.0002358131,0.931417,0.005650942,0.00004293062,0.0009610819,0.001644087],"study_design_scores_gemma":[0.00065041,0.0001617756,0.0995366,0.00006537679,0.0001226967,0.000248496,0.0007593096,0.883426,0.01113241,0.0008742524,0.002867585,0.0001551325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356346,0.0003075408,0.06365559,0.0001384528,0.0001446727,0.00004006747,0.00001565287,0.00001466363,0.00004872648],"genre_scores_gemma":[0.9981448,0.0006022013,0.001084136,0.00005284402,0.0000626047,0.000005243815,0.000004345943,0.00001025973,0.00003356914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06257145,"threshold_uncertainty_score":0.3511615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200306156","doi":"10.1186/s43065-021-00046-x","title":"Optimal overlays for preservation of concrete in cold climate: decision-making by the method of fuzzy comprehensive evaluation combined with AHP","year":2021,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Research and Innovative Technology Administration; Federal Highway Administration; China Postdoctoral Science Foundation; Oregon Department of Transportation","keywords":"Overlay; Service life; Analytic hierarchy process; Abrasion (mechanical); Computer science; Fuzzy logic; Ultimate tensile strength; Durability; Bond strength; Civil engineering; Environmental science; Structural engineering; Engineering; Reliability engineering; Operations research; Materials science; Composite material; Artificial intelligence; Mechanical engineering; Adhesive","authors":[{"name":"Zhipeng Li","is_ca":false},{"name":"Yudong Dang","is_ca":false},{"name":"Zhen Tang","is_ca":false},{"name":"Ning Xie","is_ca":false},{"name":"Shuang Lü","is_ca":false},{"name":"Xianming Shi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01235471927512398,"gpt":0.2901521835862308,"spread":0.2777974643111069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002149,0.0001276706,0.0003486133,0.0001180315,0.00004765819,0.00003644411,0.0001772251,0.00008069431,0.00003104108],"category_scores_gemma":[0.0006692175,0.00008718939,0.0000383057,0.000403933,0.00007325388,0.0006097535,0.00005233266,0.0001421083,3.332888e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005391882,"about_ca_system_score_gemma":0.0001069187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002934817,"about_ca_topic_score_gemma":0.000002278319,"domain_scores_codex":[0.9983029,0.0001356436,0.0008244026,0.0001075652,0.0004917273,0.0001377764],"domain_scores_gemma":[0.9965465,0.0007829122,0.000662402,0.0001532965,0.001831708,0.00002315352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006333969,0.000002830282,0.002717243,0.0002761684,0.00006176667,0.000001024867,0.0005186545,0.4298783,0.5613363,0.002353045,0.0005093932,0.00171187],"study_design_scores_gemma":[0.004094819,0.000639526,0.04486142,0.001092526,0.0001021447,0.00004005597,0.001163003,0.4784094,0.4664128,0.002291939,0.000669541,0.0002227986],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8775387,0.0003612656,0.1212811,0.0000728932,0.0001319143,0.0004589969,0.000028415,0.00000480788,0.0001219051],"genre_scores_gemma":[0.9371921,0.0001304409,0.06255966,0.00005295638,0.00002497724,0.00001242277,0.00001226385,0.00001136582,0.000003821594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0949235,"threshold_uncertainty_score":0.355548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4401501012","doi":"10.1186/s43065-024-00102-2","title":"Automated crack identification in structures using acoustic waveforms and deep learning","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, Libya","keywords":"Waveform; Convolutional neural network; Computer science; Acoustic emission; Process (computing); Artificial neural network; Identification (biology); Deep learning; Feature extraction; Feature (linguistics); Range (aeronautics); Pattern recognition (psychology); Beam (structure); Artificial intelligence; Time domain; Acoustics; Structural engineering; Engineering; Computer vision","authors":[{"name":"Mohamed Barbosh","is_ca":true},{"name":"Liangfu Ge","is_ca":true},{"name":"Ayan Sadhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007961803454886516,"gpt":0.2748137805299959,"spread":0.2668519770751094,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823297,0.00008323968,0.0001173142,0.0001447035,0.00005574876,0.0001253044,0.00007392068,0.00006076189,0.000007678873],"category_scores_gemma":[0.0001199062,0.00006114873,0.00001888647,0.000293073,0.00004404473,0.0004810602,0.00002068657,0.0002947764,3.000292e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002957851,"about_ca_system_score_gemma":0.00001451146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005040643,"about_ca_topic_score_gemma":0.000003083951,"domain_scores_codex":[0.999345,0.00002727505,0.000308693,0.00009369219,0.0001288529,0.00009647697],"domain_scores_gemma":[0.9996827,0.00007987877,0.00006935538,0.00005663698,0.00006091174,0.0000504871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006720686,0.000003591507,0.002941354,0.0002258732,0.00001574336,0.000005272484,0.0007604218,0.5809646,0.3587495,0.000947245,0.00003579959,0.05534383],"study_design_scores_gemma":[0.00006391211,0.0000116699,0.3174058,0.00006133698,0.00001014385,0.00004111106,0.0001301242,0.6722801,0.0007975446,0.009005784,0.0001403634,0.00005218461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399191,0.001131122,0.05858707,0.00006775674,0.0001374037,0.0000664165,9.968018e-7,0.00006198667,0.00002822097],"genre_scores_gemma":[0.9883248,0.0003290289,0.01125025,0.000009590475,0.00006508747,0.000001396986,9.962331e-7,0.000008872945,0.000009938907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.357952,"threshold_uncertainty_score":0.2493573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416071128","doi":"10.1186/s43065-025-00157-9","title":"Numerical investigation of bonding in stone-clad Façades: comparative analysis with and without mechanical anchorage","year":2025,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Finite element method; Adhesive; Shear (geology); Fracture (geology); Numerical models; Interface (matter); Computer simulation; Element (criminal law)","authors":[{"name":"Farhood Shahidi","is_ca":false},{"name":"Vahid Shafaie","is_ca":false},{"name":"Oveys Ghodousian","is_ca":false},{"name":"Seyed Ali Emamian","is_ca":true},{"name":"Majid Movahedi Rad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008226950625843504,"gpt":0.2505799798023349,"spread":0.2423530291764914,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001627275,0.0001066087,0.0003749768,0.0003684099,0.00003823797,0.00002989049,0.0001016348,0.00006306351,0.00001381714],"category_scores_gemma":[0.00004598769,0.00007317202,0.00003985233,0.001120369,0.00009425037,0.0003870989,0.00001997462,0.0002332,2.151428e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002356365,"about_ca_system_score_gemma":0.00002388126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172898,"about_ca_topic_score_gemma":0.00002659726,"domain_scores_codex":[0.9991621,0.00005887442,0.0004004749,0.0001079506,0.0001811153,0.00008944045],"domain_scores_gemma":[0.9995049,0.0000646809,0.0001786424,0.00007856698,0.0001148761,0.00005839091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001627749,0.000002841606,0.727977,0.0001261883,0.0004321773,0.000002804185,0.001592516,0.2451077,0.01811735,0.005166037,0.0000492935,0.001263338],"study_design_scores_gemma":[0.0004013789,0.00006577335,0.7849256,0.000118545,0.0002071411,0.00001007999,0.0005282043,0.206638,0.004922077,0.00204249,0.00004836776,0.00009233285],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895003,0.000314851,0.009727106,0.0001738909,0.0000256721,0.00005919631,0.000001583702,0.000006727927,0.0001907039],"genre_scores_gemma":[0.9956594,0.00006917704,0.00420094,0.00003355353,0.00001201151,0.000001123882,0.000001474283,0.00000218541,0.00002014961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05694859,"threshold_uncertainty_score":0.2983868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410129783","doi":"10.1186/s43065-025-00130-6","title":"A case study on developing asphalt mix performance grading (Mix-PG) system in Ontario","year":2025,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Asphalt; Asphalt pavement; Grading (engineering); Engineering; Civil engineering; Materials science; Composite material","authors":[{"name":"Saeid Salehi Ashani","is_ca":true},{"name":"Michael Elwardany","is_ca":false},{"name":"Sina Varamini","is_ca":true},{"name":"Susan Tighe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01852452453460091,"gpt":0.2614826258182476,"spread":0.2429581012836467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006448211,0.0001463147,0.0002130682,0.000403125,0.0001200681,0.00005856348,0.000158054,0.00006650078,0.000008326275],"category_scores_gemma":[0.00004848777,0.0001211839,0.00002120441,0.0003902769,0.00002002162,0.0008096422,0.00003584495,0.0004305535,6.672599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006078237,"about_ca_system_score_gemma":0.0001768358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002376453,"about_ca_topic_score_gemma":0.001781482,"domain_scores_codex":[0.9987112,0.00004948488,0.0006222043,0.0001261587,0.0003221636,0.0001688212],"domain_scores_gemma":[0.9994493,0.00005999009,0.0001782515,0.0001286677,0.0001404702,0.00004335393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005569965,0.00002025212,0.6815134,0.0002597676,0.000037949,0.000161839,0.004702531,0.3051057,0.000695401,0.0001693813,0.0001085136,0.007169592],"study_design_scores_gemma":[0.001084009,0.0001781182,0.8427433,0.0007045486,0.00002237778,0.0004138502,0.003749063,0.1495613,0.001162061,0.00005641707,0.0001861226,0.000138883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927747,0.00009667422,0.005722698,0.00003944152,0.0005297666,0.000306778,2.547997e-7,0.00002420172,0.0005054465],"genre_scores_gemma":[0.9981897,0.00002963177,0.001629288,0.00004660354,0.000034864,0.000008643634,5.8862e-7,0.000007389443,0.00005326398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612299,"threshold_uncertainty_score":0.4941738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}