{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":36,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":36,"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":"6be25990138e","filters":{"venue":"Structural Control and Health Monitoring"}},"results":[{"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,"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; 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","authors":[{"name":"Sandeep Sony","is_ca":true},{"name":"Shea Laventure","is_ca":true},{"name":"Ayan Sadhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08544854997614458,"gpt":0.3845245397789462,"spread":0.2990759898028016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161375,0.001065143,0.001189364,0.005762814,0.0005385982,0.001485514,0.00130598,0.001494444,0.006277724],"category_scores_gemma":[0.00309796,0.0004827039,0.001166246,0.006912242,0.0004987001,0.002640236,0.0008583643,0.001002689,0.002080763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005717997,"about_ca_system_score_gemma":0.002122359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002294519,"about_ca_topic_score_gemma":0.002770372,"domain_scores_codex":[0.9991401,0.000130615,0.0001501624,0.0001707907,0.000348502,0.00005969256],"domain_scores_gemma":[0.9967327,0.00202542,0.0002755725,0.00009372226,0.0008020066,0.00007055674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006883055,0.0000823431,0.001025705,0.0542675,0.000123901,0.0005159639,0.0003637409,0.001063867,0.003493062,0.007962573,0.04012718,0.8909054],"study_design_scores_gemma":[0.000007654302,0.0001841723,0.002904844,0.01960463,0.0004492863,0.001900044,0.0004488587,0.001397851,0.002464711,0.003974899,0.9665806,0.00008246788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007210741,0.9901547,0.003055379,0.0007876434,0.0005893801,0.00003039755,0.000170251,0.00005659886,0.004434506],"genre_scores_gemma":[0.004258805,0.9902733,0.002954648,0.0005582515,0.0004520988,0.00003339936,0.000226598,0.00001216166,0.001230768],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006277724,"threshold_uncertainty_score":0.02100104,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Ju Huyan","is_ca":true},{"name":"Wei Li","is_ca":false},{"name":"Susan Tighe","is_ca":true},{"name":"Zhengchao Xu","is_ca":false},{"name":"Junzhi Zhai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02187878553343378,"gpt":0.2610333528454232,"spread":0.2391545673119894,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002995355,0.00105467,0.0005910796,0.0006833747,0.0002676114,0.0005565693,0.001700561,0.001031489,0.002245068],"category_scores_gemma":[0.0006773275,0.000449199,0.0005191859,0.0004111132,0.0003459072,0.001172265,0.0007214163,0.000996107,0.0007669799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008885115,"about_ca_system_score_gemma":0.0009000933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084753,"about_ca_topic_score_gemma":0.01882001,"domain_scores_codex":[0.9997988,0.00001463073,0.000008215883,0.00007289766,0.00006647245,0.00003896293],"domain_scores_gemma":[0.9998142,0.00003797642,0.00002625527,0.0000244131,0.00007962239,0.00001756804],"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":[0.0005354059,0.0003216425,0.007491276,0.0002791272,0.0002679618,0.0002826009,0.00006136618,0.2681656,0.04299205,0.004059478,0.02351185,0.6520317],"study_design_scores_gemma":[0.00001020541,0.00006659343,0.0008793068,0.00001197368,0.00002405792,0.00006762581,0.000005934474,0.9870091,0.008976771,0.0007150728,0.002220945,0.0000125337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1301457,0.003502544,0.840728,0.0006164441,0.0003761677,0.0001496948,0.001642343,0.01455205,0.00828707],"genre_scores_gemma":[0.7133594,0.001171495,0.2611001,0.0006737163,0.0000887795,0.0001641461,0.004524919,0.0003205314,0.01859687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01084753,"threshold_uncertainty_score":0.02156878,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Jianfeng Gu","is_ca":true},{"name":"Mustafa Gül","is_ca":true},{"name":"Xiaoguang Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04608285620975124,"gpt":0.3392630013724993,"spread":0.2931801451627481,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006383768,0.0005128628,0.0003977425,0.0006971114,0.0001912578,0.0003589744,0.0005384204,0.0006482886,0.0002999279],"category_scores_gemma":[0.001526123,0.0002371242,0.0004115781,0.000391857,0.0003406616,0.0007463738,0.0004636249,0.0003506762,0.00008822717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992386,"about_ca_system_score_gemma":0.0001369261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100091,"about_ca_topic_score_gemma":0.001472981,"domain_scores_codex":[0.9996318,0.00007072729,0.00002641107,0.00009938483,0.0001394183,0.00003225436],"domain_scores_gemma":[0.9992938,0.0002754789,0.000199044,0.00005678446,0.0001531249,0.00002178656],"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":[0.0005420576,0.0001679412,0.01255295,0.0001982757,0.0001716396,0.0003839582,0.0001765365,0.5409634,0.1336975,0.001398017,0.0004199678,0.3093278],"study_design_scores_gemma":[0.000003347675,0.00004774471,0.002828618,0.000004835211,0.00001088905,0.00004757913,0.00001055387,0.9876214,0.008873376,0.0004390403,0.0001012482,0.00001139912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3279373,0.0004037271,0.6698993,0.00008362232,0.00004466884,0.00003473631,0.00006156116,0.0005081626,0.001026961],"genre_scores_gemma":[0.9398179,0.000112845,0.05939545,0.00002269594,0.00001626613,0.00002624465,0.00005112508,0.00001106573,0.0005464115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00100091,"threshold_uncertainty_score":0.003376126,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Yangyang Chen","is_ca":false},{"name":"Zhichao Qian","is_ca":false},{"name":"Kai Chen","is_ca":false},{"name":"Ping Tan","is_ca":false},{"name":"Solomon Tesfamariam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009369110047118361,"gpt":0.2264433498326936,"spread":0.2170742397855753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957378,0.0002703106,0.0002380646,0.0001470359,0.0001186531,0.0001810825,0.0002433472,0.0002007835,0.0008279001],"category_scores_gemma":[0.0002506717,0.00008812812,0.0001125043,0.00007177446,0.0002607096,0.0002916369,0.0002564547,0.0001494665,0.0001698222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001447483,"about_ca_system_score_gemma":0.0001307838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002547061,"about_ca_topic_score_gemma":0.0005397687,"domain_scores_codex":[0.9999185,0.00001288655,0.000005899385,0.00001712467,0.0000355154,0.00001015994],"domain_scores_gemma":[0.9998785,0.00003476553,0.00003353615,0.00001155991,0.0000289226,0.00001267744],"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":[0.0005366232,0.00008864511,0.001514966,0.0002195105,0.00001546771,0.0001746931,0.0001220493,0.02819332,0.9520633,0.001083678,0.000123569,0.01586423],"study_design_scores_gemma":[0.00004790537,0.001646848,0.003591832,0.00001810356,0.00003570371,0.0001579852,0.00007865524,0.5055056,0.4865293,0.0003058038,0.002056596,0.00002569994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9405792,0.00009206263,0.05709116,0.00004511906,0.00002011915,0.00001955487,0.0000215638,0.0001078047,0.002023524],"genre_scores_gemma":[0.9935323,0.00004233834,0.005324909,0.000006810058,0.000002117894,0.00000937002,0.00001707854,0.000004772184,0.00106023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008279001,"threshold_uncertainty_score":0.002769649,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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)","authors":[{"name":"Majd Javanbakht","is_ca":true},{"name":"Shaohong Cheng","is_ca":true},{"name":"Faouzi Ghrib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03073178298784555,"gpt":0.3046440799037043,"spread":0.2739122969158587,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004184238,0.0007411873,0.0002902674,0.0004665936,0.0001640603,0.000480731,0.0006589646,0.0006106185,0.003001779],"category_scores_gemma":[0.0009677053,0.0002265451,0.0003243251,0.0001951108,0.0002812184,0.0004138781,0.0003310437,0.0004875642,0.0005596085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604398,"about_ca_system_score_gemma":0.0003724039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009079904,"about_ca_topic_score_gemma":0.001014569,"domain_scores_codex":[0.9997286,0.00005226882,0.00001763841,0.0000526649,0.0001363295,0.00001251359],"domain_scores_gemma":[0.9997541,0.00007653268,0.00004585736,0.00002436943,0.00009333326,0.000005804611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002083357,0.00006714187,0.000778604,0.0007382154,0.00003165098,0.0002590394,0.0003415875,0.4939019,0.2967647,0.06142924,0.001988801,0.1434908],"study_design_scores_gemma":[0.00003310758,0.0002520253,0.0002878093,0.0000310618,0.00002554801,0.000164611,0.00002211338,0.9730787,0.01331052,0.002701632,0.01007267,0.00002004418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009327862,0.0002383972,0.98643,0.00005009277,0.00004547257,0.00006872114,0.00004034225,0.0001318722,0.00366724],"genre_scores_gemma":[0.5773199,0.0007919738,0.4135453,0.00008787959,0.00006207207,0.0004038937,0.0001253829,0.00007258116,0.007591005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003001779,"threshold_uncertainty_score":0.01004195,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Majd Javanbakht","is_ca":true},{"name":"Shaohong Cheng","is_ca":true},{"name":"Faouzi Ghrib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03826147163949636,"gpt":0.2873805510906234,"spread":0.249119079451127,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000266514,0.0004756557,0.0002179842,0.0001934034,0.0001962648,0.0002676611,0.0003596687,0.0002596388,0.0006973635],"category_scores_gemma":[0.000272069,0.0001335463,0.0002091154,0.0001354898,0.0002158887,0.0002137008,0.0002645393,0.0002357365,0.00009102085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410578,"about_ca_system_score_gemma":0.000225964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006593004,"about_ca_topic_score_gemma":0.001236354,"domain_scores_codex":[0.9998709,0.00002341496,0.00000636469,0.00003186642,0.00004977667,0.00001765671],"domain_scores_gemma":[0.9998512,0.00004412322,0.00004988756,0.000008999345,0.00003528326,0.00001035666],"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":[0.0003622316,0.00009494676,0.002029422,0.0004134381,0.0000473203,0.0001862998,0.0002082735,0.2852919,0.6404417,0.002530701,0.0005543043,0.06783947],"study_design_scores_gemma":[0.00007732055,0.001089125,0.002570252,0.00002739727,0.00003949935,0.00008684649,0.00008445424,0.8972569,0.09588832,0.0004593783,0.002392176,0.00002829451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4249854,0.0004578477,0.5697352,0.0001083797,0.00004494241,0.00005184149,0.00004832988,0.0002666003,0.00430136],"genre_scores_gemma":[0.9767495,0.00008741941,0.02222377,0.00001188772,0.00000528141,0.00003786858,0.00002055881,0.000008890261,0.0008548662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0006973635,"threshold_uncertainty_score":0.002332926,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Joist; Reinforcement; Tapping; Structural engineering; Beam (structure); Materials science; Engineering; Mechanical engineering","authors":[{"name":"Thomas Tannert","is_ca":true},{"name":"Frank Lam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0425411709400654,"gpt":0.2798895362591627,"spread":0.2373483653190973,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000414664,0.0005238411,0.0002591118,0.0004643383,0.0001475776,0.0002543026,0.0006445887,0.0003915154,0.001328576],"category_scores_gemma":[0.001163162,0.0002557788,0.0001869868,0.0002574435,0.0003239716,0.0004566777,0.000301087,0.0002425689,0.0003805268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001745041,"about_ca_system_score_gemma":0.0001569179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004503349,"about_ca_topic_score_gemma":0.001943515,"domain_scores_codex":[0.9995455,0.00006081542,0.00003278406,0.00006564775,0.0002437203,0.00005155563],"domain_scores_gemma":[0.9990264,0.0001878149,0.0003432912,0.0001253731,0.0002042609,0.0001128527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002307599,0.00005738166,0.002174461,0.0001518146,0.00001448307,0.0001789754,0.00006420486,0.002288708,0.9762999,0.0002397883,0.0001225271,0.01817704],"study_design_scores_gemma":[0.00005258178,0.002497493,0.01280908,0.00002394424,0.00004724805,0.0004705692,0.00007176729,0.01821673,0.9618915,0.0001328829,0.003754949,0.00003118144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840375,0.000446431,0.01424068,0.00002509124,0.00005672264,0.00004034839,0.0000319249,0.0001743479,0.0009468698],"genre_scores_gemma":[0.9909507,0.0001025526,0.007896765,0.00001072288,0.000006909743,0.00001123596,0.00003075843,0.00002111518,0.0009693116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001328576,"threshold_uncertainty_score":0.00444454,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Satish Nagarajaiah","is_ca":false},{"name":"Sriram Narasimhan","is_ca":true},{"name":"E. A. Johnson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02067346602874845,"gpt":0.2796266277399954,"spread":0.2589531617112469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005285633,0.000754926,0.0008228747,0.0004276422,0.000421268,0.0007094186,0.0005963891,0.001353408,0.003048978],"category_scores_gemma":[0.001912194,0.0001566465,0.0003470799,0.0002624019,0.0005245638,0.0005518605,0.0007116297,0.0005979651,0.0001311863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000480275,"about_ca_system_score_gemma":0.0005971544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007153422,"about_ca_topic_score_gemma":0.00413313,"domain_scores_codex":[0.9997659,0.00007104541,0.000008651983,0.00003694106,0.00006827374,0.00004904918],"domain_scores_gemma":[0.9994635,0.000297038,0.00006478585,0.00002276458,0.00009615393,0.00005570825],"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":[0.0002517821,0.00009818256,0.0008995491,0.0001079175,0.00003151765,0.0002259325,0.0000268536,0.9801587,0.002203939,0.006616361,0.001775428,0.007603885],"study_design_scores_gemma":[0.00005538019,0.0001344145,0.0007288158,0.000008204798,0.000009201766,0.000030119,0.00005151743,0.9946966,0.001115438,0.002544412,0.0006182044,0.00000766026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7321916,0.0008772876,0.2212528,0.001894658,0.0002885256,0.0004029297,0.001550822,0.0002494521,0.0412919],"genre_scores_gemma":[0.9840623,0.0001559995,0.01033025,0.00009835648,0.00004443593,0.0001209206,0.0006138993,0.00002189944,0.00455201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007153422,"threshold_uncertainty_score":0.01422358,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Mohamed Barbosh","is_ca":true},{"name":"Ayan Sadhu","is_ca":true},{"name":"Mike Vogrig","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04102401273734431,"gpt":0.4409949222036131,"spread":0.3999709094662688,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004790086,0.0006553165,0.0004014384,0.0005303819,0.0001655037,0.0003905823,0.0004731682,0.0004321653,0.001179145],"category_scores_gemma":[0.0008295947,0.0002199999,0.0005320424,0.0004282811,0.0002528023,0.0006843063,0.0007014217,0.0005187261,0.0003537876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212792,"about_ca_system_score_gemma":0.0002799237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004547592,"about_ca_topic_score_gemma":0.0005996324,"domain_scores_codex":[0.9997045,0.00008507715,0.00001432154,0.00006837837,0.0001118096,0.00001589538],"domain_scores_gemma":[0.9997703,0.00009339398,0.00003384481,0.00003993233,0.00005420313,0.000008208852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001265409,0.0001070891,0.00152114,0.000329581,0.0001582717,0.0001384143,0.0001888299,0.2735687,0.1229219,0.01779283,0.001302184,0.5818444],"study_design_scores_gemma":[0.000003656811,0.00004504438,0.0005204976,0.00001110916,0.00001056616,0.00007261144,0.00001579156,0.9883807,0.006865718,0.002071071,0.001991795,0.00001157035],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003683893,0.0001381351,0.9956773,0.00001535492,0.00000912024,0.000006582,0.00001048245,0.0001112323,0.0003479154],"genre_scores_gemma":[0.3026913,0.0006333856,0.6935617,0.0000779703,0.00004204169,0.0001092108,0.0001452238,0.00007400646,0.002665091],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001179145,"threshold_uncertainty_score":0.003944695,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Sriram Narasimhan","is_ca":true},{"name":"N. Sundararajan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02512125141220906,"gpt":0.2780779938394291,"spread":0.25295674242722,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002700169,0.0003981666,0.0003263679,0.0001501992,0.0001838633,0.0003314919,0.0006005535,0.0002378041,0.000644875],"category_scores_gemma":[0.0004363263,0.0001035686,0.0002306364,0.0001425461,0.000399531,0.0003196406,0.000443715,0.000360192,0.0001799832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000273682,"about_ca_system_score_gemma":0.000280685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496223,"about_ca_topic_score_gemma":0.002484535,"domain_scores_codex":[0.9998556,0.00002242754,0.000006946623,0.00003497833,0.00005401413,0.00002605713],"domain_scores_gemma":[0.9998254,0.0000509501,0.00003765617,0.00001783717,0.00005504566,0.00001305949],"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":[0.0001993746,0.00009380633,0.0005839482,0.0001049592,0.00004328179,0.00008714891,0.0001555933,0.7842016,0.0544795,0.009344031,0.0005815263,0.1501251],"study_design_scores_gemma":[0.000005612743,0.00004874908,0.0001416464,0.000001949785,0.00000398439,0.000007518233,0.000005006174,0.9964418,0.00258255,0.0004083311,0.0003492331,0.000003654926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04886572,0.0001435429,0.949056,0.00002635141,0.0000235824,0.000016054,0.000006227399,0.0002518822,0.001610715],"genre_scores_gemma":[0.9726648,0.00009022905,0.0257787,0.00001614698,0.00001167413,0.00002385336,0.00001449004,0.00001227794,0.001387759],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002496223,"threshold_uncertainty_score":0.004963398,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Majd Javanbakht","is_ca":true},{"name":"Shaohong Cheng","is_ca":true},{"name":"Faouzi Ghrib","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02963657697373704,"gpt":0.289723917354702,"spread":0.260087340380965,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006354849,0.0004548186,0.0002714878,0.0002278855,0.0002704683,0.0004807466,0.0002420793,0.0004112108,0.0007712668],"category_scores_gemma":[0.001242903,0.0001735938,0.000236628,0.0001047733,0.0003621722,0.0002583018,0.0004041878,0.0003368809,0.00009143085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003819,"about_ca_system_score_gemma":0.0003371879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148578,"about_ca_topic_score_gemma":0.001310789,"domain_scores_codex":[0.9997298,0.00007234068,0.0000210299,0.00003550918,0.0001043221,0.00003702787],"domain_scores_gemma":[0.9991189,0.0005750408,0.0001513325,0.0000334324,0.00009776025,0.00002351203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008566895,0.000161643,0.003158013,0.0005875338,0.00005840285,0.0003278813,0.0002901128,0.6804552,0.25774,0.001573277,0.0002501618,0.05454117],"study_design_scores_gemma":[0.00005617256,0.001118664,0.003123043,0.0000339351,0.00003988226,0.00007648668,0.0001181126,0.9483287,0.04623864,0.0002905203,0.0005481309,0.00002779081],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7696009,0.0006414019,0.2242612,0.0001783613,0.00002863994,0.00004670651,0.00002598231,0.000231107,0.004985732],"genre_scores_gemma":[0.9963669,0.00004794463,0.00340257,0.000006511822,0.000001711689,0.000008264224,0.000004991596,0.000002867789,0.000158282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001148578,"threshold_uncertainty_score":0.003360808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Fan Yang","is_ca":false},{"name":"Ramin Sedaghati","is_ca":true},{"name":"Ebrahim Esmailzadeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01844283897755247,"gpt":0.2645366925758763,"spread":0.2460938535983238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006807178,0.0007576462,0.0004927558,0.0003079562,0.0002448556,0.0005373425,0.0005351668,0.0007825068,0.0009853471],"category_scores_gemma":[0.001129281,0.0003990805,0.0002484027,0.0001276818,0.0005501513,0.0004739279,0.000491005,0.0004038552,0.0001704333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003391821,"about_ca_system_score_gemma":0.0004139417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004179318,"about_ca_topic_score_gemma":0.0007176067,"domain_scores_codex":[0.9996202,0.0001050192,0.00002251676,0.00009769434,0.0001205312,0.00003411222],"domain_scores_gemma":[0.9996792,0.000138669,0.00009127224,0.00001759031,0.00005969509,0.00001356725],"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":[0.0003820468,0.0001550911,0.0006821453,0.0004194523,0.00005465269,0.000149396,0.0002113095,0.7526186,0.1169694,0.017625,0.0007133658,0.1100196],"study_design_scores_gemma":[0.00005363959,0.0002719501,0.0002227805,0.00001480692,0.00001679873,0.00003295034,0.00001781815,0.9906467,0.005504361,0.001932617,0.001275151,0.00001043833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02313625,0.0002797763,0.974802,0.00006633841,0.00002515747,0.00004796301,0.000008348818,0.0000859029,0.001548238],"genre_scores_gemma":[0.8933713,0.0001796808,0.1052133,0.0000438454,0.00002541411,0.0001170685,0.00001783686,0.00001473606,0.001016694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009853471,"threshold_uncertainty_score":0.003600001,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Luong Ha Nguyen","is_ca":true},{"name":"James A. Goulet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00942687170045171,"gpt":0.2725016903912342,"spread":0.2630748186907825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017449,0.0008816982,0.001069109,0.0009960543,0.000287016,0.001070861,0.001420825,0.001280149,0.0009631325],"category_scores_gemma":[0.006959342,0.0009580699,0.0008028873,0.001073792,0.0007099803,0.001615614,0.001054655,0.002360123,0.0004759841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009775152,"about_ca_system_score_gemma":0.001152327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066063,"about_ca_topic_score_gemma":0.007723181,"domain_scores_codex":[0.9987929,0.0004137686,0.00006039675,0.0003164158,0.0003224803,0.00009414214],"domain_scores_gemma":[0.9972761,0.001851473,0.0003699831,0.0001431966,0.0003049421,0.00005426471],"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":[0.0001035931,0.00007006624,0.001124856,0.0000812878,0.000090371,0.00006145869,0.0000835654,0.861478,0.002346556,0.01264999,0.00134427,0.1205661],"study_design_scores_gemma":[0.00000342695,0.000008201891,0.0001193109,0.000002922372,0.000002938842,0.000009114208,0.00000262259,0.9960061,0.0002425719,0.003320927,0.0002764004,0.000005495546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003987872,0.0002013246,0.9949331,0.0001287417,0.00001878341,0.000009216393,0.00003405345,0.0003936334,0.0002933737],"genre_scores_gemma":[0.6030001,0.000928124,0.389708,0.0002469978,0.0001692207,0.0002201221,0.0005909592,0.0001822714,0.004954151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01066063,"threshold_uncertainty_score":0.02119714,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Suresh Sundaram","is_ca":false},{"name":"Sriram Narasimhan","is_ca":true},{"name":"Satish Nagarajaiah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03576719323481857,"gpt":0.2641552192502745,"spread":0.2283880260154559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002246816,0.0004057809,0.0002208848,0.0001119194,0.0001844258,0.0003059536,0.000569907,0.0002825958,0.001117084],"category_scores_gemma":[0.0005319853,0.0001173618,0.0001636668,0.00009824974,0.0002569356,0.0002278318,0.0003369337,0.0004356412,0.0001522578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121643,"about_ca_system_score_gemma":0.0002564437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461495,"about_ca_topic_score_gemma":0.004700169,"domain_scores_codex":[0.9999068,0.0000154645,0.000005693252,0.00002519783,0.00003558924,0.00001119419],"domain_scores_gemma":[0.999884,0.00004068678,0.0000258248,0.000009013986,0.0000346461,0.000005778697],"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":[0.000177373,0.0000890915,0.0004328014,0.0001643271,0.00005020298,0.0001168857,0.0001049097,0.8338286,0.03712305,0.004920892,0.0009673553,0.1220244],"study_design_scores_gemma":[0.00001463683,0.00007622358,0.0001690631,0.000004135422,0.000006751087,0.0000122847,0.000003810667,0.9964915,0.002236993,0.0002952878,0.0006850261,0.000004305607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06632371,0.0006008775,0.925948,0.00009550891,0.000112793,0.00006594179,0.00003632072,0.0006629591,0.006154005],"genre_scores_gemma":[0.9729153,0.0001907649,0.02395862,0.00004925451,0.00002697867,0.00007693573,0.00004164248,0.00001377247,0.00272654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003461495,"threshold_uncertainty_score":0.006882727,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Yanhui Liu","is_ca":false},{"name":"Weijian Zhong","is_ca":false},{"name":"Oya Mercan","is_ca":true},{"name":"Ping Tan","is_ca":false},{"name":"Fulin Zhou","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03729852977354618,"gpt":0.2601228843996653,"spread":0.2228243546261191,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003075771,0.0009522004,0.0004543287,0.0005128708,0.0002575014,0.0004613457,0.001180177,0.001271084,0.001602261],"category_scores_gemma":[0.0006332204,0.0003342467,0.0006965784,0.0003885872,0.0004831444,0.001047142,0.0003433453,0.0007568207,0.0006268197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005399791,"about_ca_system_score_gemma":0.0005059851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006013609,"about_ca_topic_score_gemma":0.005070124,"domain_scores_codex":[0.9998,0.00002896742,0.00001374773,0.0000561764,0.00007254413,0.0000285528],"domain_scores_gemma":[0.9997899,0.00005947763,0.00004733823,0.00002273097,0.00007325549,0.000007253297],"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":[0.00005159538,0.00007523425,0.001983221,0.0002273084,0.00004416041,0.0003574598,0.0002560269,0.9189088,0.04217248,0.009538654,0.001597628,0.02478749],"study_design_scores_gemma":[0.000002539654,0.00001901883,0.0003757118,0.000003673159,0.000005475925,0.00003788224,0.000009039577,0.9969255,0.001014353,0.0006356594,0.0009646644,0.000006457067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06441762,0.001260448,0.9180834,0.0003590641,0.0001935425,0.0001304028,0.0003146662,0.0005561825,0.0146847],"genre_scores_gemma":[0.9477695,0.00142333,0.02235879,0.0001535248,0.00007066024,0.0002495156,0.0003153379,0.0001005613,0.02755888],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006013609,"threshold_uncertainty_score":0.01195717,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Rajdip Nayek","is_ca":true},{"name":"Suparno Mukhopadhyay","is_ca":false},{"name":"Sriram Narasimhan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05268736740692082,"gpt":0.349752387784356,"spread":0.2970650203774352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003858265,0.0005593901,0.0004547914,0.0003821606,0.0002112074,0.0003191452,0.0005610992,0.0006795048,0.0008582858],"category_scores_gemma":[0.0007453606,0.00028967,0.0003462266,0.0002212554,0.000291509,0.0005811554,0.0005336725,0.0003313108,0.0002678403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846981,"about_ca_system_score_gemma":0.0002638743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003439171,"about_ca_topic_score_gemma":0.0009468605,"domain_scores_codex":[0.9997267,0.00005804908,0.00001185532,0.00007646565,0.0001120757,0.00001498395],"domain_scores_gemma":[0.9996744,0.000121807,0.00006400502,0.00007198262,0.00005657049,0.00001121084],"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":[0.0002766807,0.0001181647,0.004445785,0.0002184585,0.00005893967,0.0001959125,0.0002335573,0.09652081,0.680698,0.002029696,0.0002654126,0.2149386],"study_design_scores_gemma":[0.00001542958,0.0002769795,0.004185945,0.00001452037,0.00001883748,0.000283447,0.00005006908,0.8780689,0.1156943,0.000724118,0.0006431833,0.00002434779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1711924,0.0001716629,0.8266098,0.00005597234,0.0000261539,0.00005836116,0.00003455615,0.0003402445,0.001510833],"genre_scores_gemma":[0.7366733,0.00009434862,0.2619327,0.00002044831,0.00001009565,0.00006874897,0.00005214427,0.00001626627,0.001131963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008582858,"threshold_uncertainty_score":0.002871215,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Haoqi Wang","is_ca":false},{"name":"Tomonori Nagayama","is_ca":false},{"name":"Di Su","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02854917710816587,"gpt":0.3173595943010901,"spread":0.2888104171929242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000152129,0.0004223947,0.0002795263,0.0007086101,0.0001237247,0.0002438384,0.0003081009,0.0003898238,0.00108783],"category_scores_gemma":[0.0004906544,0.0002342412,0.0002157206,0.0003376681,0.0001274467,0.0003889655,0.0003743887,0.0001874573,0.0004448065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008987418,"about_ca_system_score_gemma":0.0002130872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009750164,"about_ca_topic_score_gemma":0.002091776,"domain_scores_codex":[0.9998424,0.00001666432,0.000007549807,0.00004797277,0.00006548264,0.00001998312],"domain_scores_gemma":[0.9998609,0.00003274378,0.00002501843,0.00001978253,0.0000518261,0.000009699686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003522685,0.000280437,0.02282516,0.0002171262,0.0000896687,0.0002247211,0.0002882757,0.05243484,0.3034045,0.001021203,0.001061855,0.6178],"study_design_scores_gemma":[0.00002914251,0.0004302281,0.06270915,0.0000255396,0.00004519383,0.0003491567,0.0001526549,0.8702389,0.06330511,0.000825125,0.001838134,0.00005159255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2881534,0.0001426116,0.7081714,0.00003240216,0.00003519879,0.00005001908,0.000106003,0.0008004588,0.002508433],"genre_scores_gemma":[0.944536,0.000099233,0.05283633,0.00001996137,0.0000210668,0.00004774811,0.0001381731,0.00002582136,0.002275746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00108783,"threshold_uncertainty_score":0.003639221,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Shervin Khazaeli","is_ca":true},{"name":"Luong Ha Nguyen","is_ca":true},{"name":"James A. Goulet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03536080234147399,"gpt":0.3139249704615409,"spread":0.278564168120067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002495723,0.0009213959,0.001238045,0.0009114654,0.0003802523,0.001258286,0.00133507,0.001084712,0.0009196409],"category_scores_gemma":[0.008674148,0.000518174,0.000743327,0.0006172945,0.001413327,0.00149109,0.001008644,0.001870751,0.0001314855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001754701,"about_ca_system_score_gemma":0.001425086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506399,"about_ca_topic_score_gemma":0.008927461,"domain_scores_codex":[0.9987537,0.0005783002,0.00005935086,0.0002570951,0.0002316758,0.0001199425],"domain_scores_gemma":[0.9935753,0.005045719,0.0005715076,0.0002005695,0.0004716833,0.0001352659],"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":[0.00002676407,0.0000296784,0.0007981026,0.0000151472,0.00003251398,0.00002197326,0.00002998394,0.9800878,0.0002034493,0.005867801,0.0001254851,0.01276127],"study_design_scores_gemma":[0.000001722464,0.000005093048,0.00003609175,0.000001027522,0.000001463742,0.000002117366,0.000001505575,0.997564,0.00004784547,0.002311857,0.00002555379,0.000001787091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02549413,0.0001492772,0.973061,0.0002029615,0.00002127563,0.00002417792,0.00002959082,0.0003046651,0.0007129243],"genre_scores_gemma":[0.925406,0.0001347069,0.07304143,0.00006695162,0.00003735556,0.00009723655,0.00007752034,0.00003610818,0.001102626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01506399,"threshold_uncertainty_score":0.02995265,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridge (graph theory); Computer science; Biology","authors":[{"name":"Mohammad Talebi-Kalaleh","is_ca":true},{"name":"Qipei Mei","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06207019356776121,"gpt":0.3553190723977712,"spread":0.29324887883001,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002015079,0.0004849946,0.0003090918,0.0007004941,0.0001638397,0.0003258665,0.000383268,0.0004082507,0.0004014896],"category_scores_gemma":[0.001126792,0.0001110651,0.000230057,0.0004532749,0.0002627208,0.0004781762,0.0006093857,0.0002714669,0.0001360372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342761,"about_ca_system_score_gemma":0.0002753077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003157928,"about_ca_topic_score_gemma":0.004154543,"domain_scores_codex":[0.9997496,0.00003300919,0.000009696841,0.00005737257,0.0001239758,0.00002646269],"domain_scores_gemma":[0.9996865,0.0001132661,0.00005846331,0.00004639911,0.00007877698,0.00001663603],"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":[0.0007117158,0.0003228879,0.01866225,0.0004522075,0.0001233621,0.001552835,0.0009417751,0.2578801,0.1837519,0.004699591,0.003718959,0.5271823],"study_design_scores_gemma":[0.00002443581,0.0002207816,0.01546615,0.00002997338,0.00003063249,0.0003744278,0.0003254134,0.9591722,0.01932749,0.002981303,0.002016305,0.00003090356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5718486,0.0005706375,0.4207458,0.0004396941,0.00009368611,0.0001406001,0.0005062011,0.0005621773,0.005092521],"genre_scores_gemma":[0.9609224,0.0002155261,0.03754928,0.00008444663,0.00004236875,0.00005883884,0.0002984298,0.00001011607,0.0008185895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003157928,"threshold_uncertainty_score":0.006279051,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Riasat Azim","is_ca":true},{"name":"Mustafa Gül","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04535551891287073,"gpt":0.358399410141418,"spread":0.3130438912285473,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006302026,0.0005748314,0.0005488139,0.001069798,0.0002375186,0.0005009209,0.0009230078,0.0005375466,0.0007596036],"category_scores_gemma":[0.00131804,0.0002955398,0.0006115242,0.0003613096,0.0004776219,0.0007553332,0.000445803,0.0005628325,0.0001993832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003857798,"about_ca_system_score_gemma":0.0007087381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664724,"about_ca_topic_score_gemma":0.002873225,"domain_scores_codex":[0.999649,0.000053739,0.00001648729,0.0001001567,0.0001494258,0.00003116805],"domain_scores_gemma":[0.9994641,0.0002195873,0.0001036558,0.0000471505,0.0001409256,0.0000245183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006378809,0.0001515033,0.002433653,0.0001508191,0.0000907764,0.0002292368,0.000127346,0.6972234,0.07060408,0.01632759,0.0005774396,0.2120205],"study_design_scores_gemma":[0.000001934145,0.00004595659,0.000792893,0.000003903364,0.000006011085,0.00005135754,0.00001069181,0.9945169,0.002487029,0.001734789,0.0003389291,0.000009435127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008334033,0.00007812623,0.991259,0.00001605997,0.000004458893,0.00001300286,0.00001219387,0.0001181831,0.000164989],"genre_scores_gemma":[0.5242631,0.0005253584,0.4725555,0.00006093412,0.00007497949,0.0001631764,0.0002516164,0.00008224848,0.002022893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002664724,"threshold_uncertainty_score":0.005298495,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"T. Ngoan","is_ca":true},{"name":"Mustafa Gül","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06548740393692003,"gpt":0.3158946323724727,"spread":0.2504072284355526,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002438391,0.0005779171,0.0003010382,0.0005804794,0.0001711955,0.000314035,0.0003699763,0.0003447454,0.0005636686],"category_scores_gemma":[0.0007850392,0.0001887368,0.0004409693,0.0003911034,0.0003081532,0.0004767003,0.0002547109,0.0004871559,0.000122982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002095234,"about_ca_system_score_gemma":0.0002677561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003031038,"about_ca_topic_score_gemma":0.003730607,"domain_scores_codex":[0.9998085,0.00003824666,0.000008966152,0.00005753343,0.00007113691,0.00001569364],"domain_scores_gemma":[0.9997453,0.0001139935,0.00005763814,0.00002600709,0.00004861628,0.000008396652],"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":[0.0002451748,0.0001816368,0.006149018,0.0001573173,0.000124413,0.0001899515,0.0002226302,0.5532838,0.0999144,0.007505414,0.0006655414,0.3313608],"study_design_scores_gemma":[0.000001917721,0.00002766874,0.001460386,0.000002121392,0.000006738543,0.00001696744,0.000007688116,0.9942738,0.003473848,0.0005535088,0.0001695399,0.000005700435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07946832,0.00009243853,0.919347,0.00004628444,0.00001799703,0.00002262022,0.00002654026,0.0002364942,0.0007423144],"genre_scores_gemma":[0.9050195,0.000159873,0.09326874,0.00002128865,0.00001961929,0.00005564761,0.00007474748,0.00003102157,0.001349519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003031038,"threshold_uncertainty_score":0.006026804,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"J.S. Love","is_ca":true},{"name":"Michael J. Tait","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04090773919795067,"gpt":0.3019743674651576,"spread":0.2610666282672069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002686805,0.0006544181,0.0005598003,0.0005046288,0.0004441618,0.0009453339,0.001044455,0.002000983,0.004582911],"category_scores_gemma":[0.0004087665,0.0003940266,0.000598626,0.0002680064,0.0007948641,0.0008315072,0.0008919252,0.0006464719,0.0008289827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005529032,"about_ca_system_score_gemma":0.0005825271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749365,"about_ca_topic_score_gemma":0.002828575,"domain_scores_codex":[0.9997509,0.00005270065,0.00001079072,0.00006402029,0.00009912727,0.00002230218],"domain_scores_gemma":[0.9998574,0.00004202102,0.00003830752,0.00001857409,0.00003191803,0.00001171857],"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":[0.00005531495,0.0000539079,0.0006990273,0.00009487026,0.0000266938,0.0003754183,0.0001555051,0.9494866,0.02442115,0.01669461,0.0007366881,0.00720022],"study_design_scores_gemma":[0.000008224499,0.00002227478,0.000151501,0.000002956133,0.00000391565,0.00002373299,0.000009686504,0.9981021,0.0003239008,0.0006763447,0.0006703135,0.000004964988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.108409,0.0005573689,0.8434018,0.0006357263,0.0001731922,0.0002342083,0.0004943553,0.0006308259,0.04546356],"genre_scores_gemma":[0.9393581,0.0005215941,0.0300554,0.0002265694,0.0000500166,0.0004461705,0.0002699625,0.00007951483,0.02899263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004582911,"threshold_uncertainty_score":0.01533139,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Sriram Narasimhan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04296270340918137,"gpt":0.2774277693995694,"spread":0.234465065990388,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000328386,0.0003682247,0.0002325877,0.0001605336,0.0001965337,0.0003411833,0.0007534063,0.0003019471,0.00142239],"category_scores_gemma":[0.00059995,0.00008264519,0.0001421686,0.00008033721,0.0002827826,0.0002167783,0.000451841,0.0004637353,0.0001848372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002635341,"about_ca_system_score_gemma":0.0002945131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002368448,"about_ca_topic_score_gemma":0.002971424,"domain_scores_codex":[0.9998633,0.00001832362,0.000007792894,0.00003135742,0.00006419043,0.00001507358],"domain_scores_gemma":[0.9998063,0.00005890064,0.00003499383,0.00001787862,0.00007144243,0.00001046271],"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":[0.0003538088,0.0002299058,0.0008835878,0.0003203125,0.0000574465,0.0002020708,0.000156005,0.5440177,0.105536,0.01116442,0.003143609,0.3339353],"study_design_scores_gemma":[0.00003593617,0.0002469271,0.000322069,0.000005176434,0.000008131892,0.00002367381,0.000007001931,0.9915977,0.006066652,0.0004989831,0.00118007,0.000007718398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09300211,0.0003442278,0.896413,0.0001502832,0.0001286221,0.0001135621,0.00004394583,0.001024454,0.008779809],"genre_scores_gemma":[0.9675683,0.0000809691,0.02938953,0.00004843988,0.0000274747,0.00009746845,0.0000426338,0.00001319747,0.002732025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002368448,"threshold_uncertainty_score":0.004758298,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Niel C. Van Engelen","is_ca":true},{"name":"J.A. Graham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0523342844568708,"gpt":0.3394503329246139,"spread":0.2871160484677431,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002446705,0.0006667567,0.0004997713,0.001231256,0.0002340378,0.0004466835,0.0007224875,0.0007538279,0.000626975],"category_scores_gemma":[0.006201115,0.0003617588,0.0005456226,0.0007126562,0.0002768145,0.0005600426,0.0004396566,0.0004305713,0.0004054812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000276791,"about_ca_system_score_gemma":0.000391756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237108,"about_ca_topic_score_gemma":0.002517671,"domain_scores_codex":[0.9987893,0.0003253281,0.00006279167,0.0002902214,0.0004582584,0.00007414375],"domain_scores_gemma":[0.9952844,0.002939731,0.0004098441,0.0002673989,0.001021681,0.000076989],"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":[0.002217703,0.0008954729,0.1593105,0.0005223584,0.0002968166,0.0001841315,0.0004814479,0.2608327,0.1150537,0.0009725835,0.0008231251,0.4584094],"study_design_scores_gemma":[0.00003771381,0.001166773,0.06343214,0.0000241326,0.00008456926,0.0001717645,0.0001603931,0.9043347,0.02967374,0.0004651607,0.0003810932,0.00006781704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5089644,0.0002869664,0.4881664,0.0000573366,0.00005568745,0.0001111149,0.0001775022,0.001044491,0.001136114],"genre_scores_gemma":[0.9287983,0.0001263362,0.07047813,0.0000150513,0.00001128302,0.00005885294,0.0001645184,0.00004082814,0.0003066606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002446705,"threshold_uncertainty_score":0.01293957,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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)","authors":[{"name":"Yanhui Liu","is_ca":true},{"name":"Kevin Goorts","is_ca":true},{"name":"Ali Ashasi-Sorkhabi","is_ca":true},{"name":"Oya Mercan","is_ca":true},{"name":"Sriram Narasimhan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04463704959924449,"gpt":0.3413518214527513,"spread":0.2967147718535069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008255045,0.0005366553,0.0006238825,0.0003802666,0.0004046676,0.0006643676,0.001074257,0.0007389474,0.004935657],"category_scores_gemma":[0.001384267,0.000386972,0.0005858414,0.0002994404,0.0005498477,0.0005801904,0.0008240101,0.001231798,0.0006712292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004320689,"about_ca_system_score_gemma":0.0008289863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00354442,"about_ca_topic_score_gemma":0.002958226,"domain_scores_codex":[0.9996765,0.00009449196,0.00002146627,0.00003317435,0.0001511571,0.00002330935],"domain_scores_gemma":[0.9994627,0.000257487,0.00005456,0.00005853277,0.0001412752,0.00002540641],"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":[0.00006160467,0.00005151638,0.0003742113,0.0001190879,0.00003915241,0.00008638329,0.00008880756,0.9137636,0.00913672,0.0251556,0.000952519,0.0501707],"study_design_scores_gemma":[0.000004351585,0.000007283282,0.00001737758,0.000002608575,0.000001918487,0.000005462933,0.000001895793,0.9980645,0.0005280006,0.00063247,0.0007313964,0.000002691961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001791625,0.00005067609,0.9964999,0.00002946855,0.00002608171,0.00002406881,0.00001452369,0.000364735,0.001198859],"genre_scores_gemma":[0.3091685,0.0002284667,0.6846549,0.00008328947,0.00003760317,0.0004538978,0.0001338121,0.0002567765,0.00498277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004935657,"threshold_uncertainty_score":0.01651138,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"I. M. Soliman","is_ca":true},{"name":"Michael J. Tait","is_ca":true},{"name":"Ashraf A. El Damatty","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01429541485056175,"gpt":0.2577183477284176,"spread":0.2434229328778559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001815505,0.0005628145,0.0007186839,0.0004402301,0.0004982402,0.001149416,0.001158429,0.001524794,0.003962571],"category_scores_gemma":[0.000298417,0.0004068629,0.0005240986,0.0002318997,0.0005916054,0.0006055826,0.0006623006,0.0005232779,0.0008099855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00052767,"about_ca_system_score_gemma":0.0006387682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005707747,"about_ca_topic_score_gemma":0.002429226,"domain_scores_codex":[0.9998444,0.00002253821,0.000007341388,0.00003689629,0.00006755703,0.00002109523],"domain_scores_gemma":[0.9998662,0.00003366816,0.0000424525,0.00001143229,0.00003434904,0.00001186763],"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":[0.0000531383,0.00003677365,0.0006415895,0.00008742504,0.00002254074,0.0002518176,0.0001115778,0.967363,0.0194332,0.005517742,0.0003390865,0.00614216],"study_design_scores_gemma":[0.000005390109,0.00001767413,0.0001345102,0.000002864943,0.000003766716,0.00001676014,0.000006736378,0.9987147,0.0004312324,0.0002520511,0.0004112065,0.000003193324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1072625,0.0005727691,0.8531815,0.0003584506,0.00007287549,0.0001485095,0.0003269716,0.001101889,0.03697449],"genre_scores_gemma":[0.9713443,0.0003091503,0.01502847,0.00005235992,0.00001979929,0.0001811504,0.0001328312,0.00005226264,0.01287969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005707747,"threshold_uncertainty_score":0.01325613,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Sourav Das","is_ca":true},{"name":"M. Mohamed Sajeer","is_ca":false},{"name":"Arunasis Chakraborty","is_ca":false},{"name":"Saptarshi Sarkar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0240171511876833,"gpt":0.2722446703541623,"spread":0.248227519166479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008547324,0.0003119126,0.0001711926,0.0001724318,0.0001279464,0.0001603122,0.0003186153,0.0002200331,0.0006829583],"category_scores_gemma":[0.0001539931,0.0001051027,0.0002010598,0.0001092395,0.000148344,0.0001569357,0.0001875641,0.0001230512,0.0001613826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021862,"about_ca_system_score_gemma":0.0001357628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000506084,"about_ca_topic_score_gemma":0.001388942,"domain_scores_codex":[0.9999534,0.000007297734,0.000002458211,0.000006888604,0.0000232394,0.000006667998],"domain_scores_gemma":[0.9999441,0.00001371299,0.00001842518,0.000009369218,0.00001045998,0.000003833418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002204694,0.00008845496,0.001043843,0.0001641095,0.00002708453,0.0001503558,0.00005593392,0.2478291,0.6908473,0.001511188,0.000222243,0.05783983],"study_design_scores_gemma":[0.00001155527,0.0004320144,0.001916847,0.000007540509,0.00001608315,0.00009503202,0.00002468426,0.9050516,0.09083542,0.0003458644,0.001253292,0.000009941235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577943,0.0005666986,0.235826,0.00007558194,0.00004288529,0.00002929019,0.00002917046,0.0002720392,0.005364052],"genre_scores_gemma":[0.9898587,0.00007166317,0.009053374,0.0000110664,0.000003057122,0.000006072327,0.00001161644,0.000008028676,0.0009763238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006829583,"threshold_uncertainty_score":0.002284706,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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)","authors":[{"name":"Laifa Tao","is_ca":true},{"name":"Chen Lü","is_ca":false},{"name":"Chao Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07748470942776227,"gpt":0.3318317608714543,"spread":0.254347051443692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003139817,0.0007674372,0.0005677828,0.002378284,0.0002069599,0.0006040803,0.0005591529,0.0005698394,0.001078072],"category_scores_gemma":[0.002223034,0.0002162424,0.0005724746,0.001470384,0.0002836028,0.001283488,0.0005788623,0.0005600655,0.0007102492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002630406,"about_ca_system_score_gemma":0.0003292914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002441719,"about_ca_topic_score_gemma":0.002016619,"domain_scores_codex":[0.9996943,0.00003392366,0.00002364376,0.00008704815,0.0001256624,0.00003552445],"domain_scores_gemma":[0.9992769,0.0001896638,0.0001377732,0.0001019376,0.0002504531,0.00004327956],"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":[0.0003118262,0.0001699366,0.01310216,0.0001667063,0.0001159674,0.0005102751,0.0001776557,0.341787,0.05391096,0.001698681,0.002350888,0.585698],"study_design_scores_gemma":[0.000002821184,0.00004033381,0.003430714,0.000005668443,0.00001026225,0.0001230182,0.00002910443,0.9880321,0.006981161,0.0007831958,0.0005463556,0.00001526346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2354545,0.0004545267,0.7593472,0.0001313922,0.00006010718,0.00009458954,0.0003248579,0.00148433,0.002648512],"genre_scores_gemma":[0.9194942,0.0003367828,0.07824323,0.00003794592,0.00003542245,0.00006725609,0.0004967046,0.0001062026,0.00118228],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002441719,"threshold_uncertainty_score":0.004854977,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Cheng Zhang","is_ca":false},{"name":"Wenxue Zhang","is_ca":false},{"name":"Lijun Su","is_ca":true},{"name":"Ying Chen","is_ca":false},{"name":"Xiuli Du","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01501019957973595,"gpt":0.2983600254330521,"spread":0.2833498258533162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008430901,0.0004060992,0.0004303246,0.0008399308,0.0003724461,0.000482618,0.0009173821,0.0008158287,0.001984317],"category_scores_gemma":[0.001912698,0.0002665305,0.0004051029,0.0002837102,0.0006677185,0.0009602587,0.000365811,0.0003979364,0.0003427161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004687966,"about_ca_system_score_gemma":0.0002553599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000622776,"about_ca_topic_score_gemma":0.0003275215,"domain_scores_codex":[0.9993258,0.00007289708,0.00003914681,0.0001350731,0.000375191,0.00005199336],"domain_scores_gemma":[0.999382,0.000251142,0.00007740306,0.00009704056,0.0001647036,0.00002772458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000351145,0.0002312149,0.003972403,0.001536776,0.00003843994,0.0009210026,0.001010041,0.07615175,0.8051801,0.0134194,0.0009404181,0.09624743],"study_design_scores_gemma":[0.00006638186,0.001910402,0.005143568,0.0001051439,0.00005848849,0.0006557655,0.000314577,0.5172902,0.4545644,0.001817367,0.01797681,0.00009682952],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6425091,0.003261264,0.338416,0.0004069054,0.0001756167,0.0003896893,0.0002734819,0.001048146,0.01351983],"genre_scores_gemma":[0.9680468,0.0005716287,0.02927463,0.00002115609,0.00001752574,0.00006931519,0.00006585903,0.00001868091,0.001914424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001984317,"threshold_uncertainty_score":0.006638229,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Yang Li","is_ca":false},{"name":"Chi‐Guhn Lee","is_ca":true},{"name":"Feiyun Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01870420291399006,"gpt":0.2775892860685275,"spread":0.2588850831545375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002159212,0.0004889598,0.0003325944,0.0006066721,0.0001361806,0.0003180659,0.0003643201,0.000417135,0.0007027974],"category_scores_gemma":[0.0007181776,0.0001725153,0.0003691402,0.0004790501,0.000265398,0.0007138657,0.0004829989,0.0004520025,0.0003331114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161928,"about_ca_system_score_gemma":0.0002319269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009235334,"about_ca_topic_score_gemma":0.001067528,"domain_scores_codex":[0.9998052,0.0000348133,0.000009077557,0.00004346938,0.00009044104,0.00001708039],"domain_scores_gemma":[0.999763,0.00006703262,0.00004698587,0.00002667436,0.00008470324,0.00001167032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002994535,0.0001062832,0.00476369,0.0002729467,0.00007151459,0.0003784462,0.0003708471,0.2233657,0.2770112,0.01054698,0.002377063,0.480436],"study_design_scores_gemma":[0.00001053438,0.00005780601,0.001959207,0.00001268918,0.00001799804,0.00017905,0.00006368954,0.9751683,0.01788792,0.002906701,0.001720684,0.00001532876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03262337,0.0001360859,0.9660032,0.00008530119,0.00001491566,0.00001507486,0.00004562679,0.0001792004,0.0008971361],"genre_scores_gemma":[0.5486759,0.0006798902,0.446236,0.0001317911,0.00006051549,0.0001036309,0.0005072948,0.00006537596,0.003539697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009235334,"threshold_uncertainty_score":0.002351105,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Yang Li","is_ca":false},{"name":"Chi‐Guhn Lee","is_ca":true},{"name":"Feiyun Xu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0293842234093998,"gpt":0.3262654530006385,"spread":0.2968812295912387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000275256,0.0005389217,0.0003904107,0.0003926155,0.0001782416,0.0003090682,0.0005087306,0.0004713734,0.0005298614],"category_scores_gemma":[0.0005458819,0.0002717449,0.0003979581,0.0002269767,0.0002309115,0.0005488097,0.0003520346,0.0004941723,0.0000771642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005082694,"about_ca_system_score_gemma":0.0006340529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008426469,"about_ca_topic_score_gemma":0.008822902,"domain_scores_codex":[0.9998981,0.00001490249,0.000006811233,0.0000309985,0.00003329351,0.00001591727],"domain_scores_gemma":[0.9998741,0.00004681576,0.00001913246,0.00001094392,0.00004036917,0.000008523375],"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":[0.0001580292,0.00007160155,0.003456978,0.0001017608,0.00008685968,0.0001481351,0.00009871161,0.7135119,0.03282809,0.003769515,0.00105203,0.2447163],"study_design_scores_gemma":[0.000001341401,0.000006077271,0.000169895,0.000001118017,0.000002199523,0.000008173333,0.000002096175,0.9985431,0.0009218985,0.000270841,0.00007153128,0.000001756396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05446032,0.0003643501,0.9436353,0.0001181044,0.00002747376,0.00002109868,0.00003651224,0.0003475423,0.0009892404],"genre_scores_gemma":[0.8510057,0.0002571906,0.146437,0.00005464999,0.00001394655,0.00004263442,0.0001018155,0.00002737407,0.002059703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008426469,"threshold_uncertainty_score":0.01675481,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Luong Ha Nguyen","is_ca":true},{"name":"Ianis Gaudot","is_ca":true},{"name":"James A. Goulet","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03423293764256394,"gpt":0.3092056771303539,"spread":0.2749727394877899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007044904,0.001159317,0.001170332,0.001389939,0.0006915339,0.001421564,0.001486591,0.001282158,0.0009373727],"category_scores_gemma":[0.0274831,0.000914357,0.001300974,0.001021076,0.00202693,0.003591394,0.001933679,0.002220769,0.0001901466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009845851,"about_ca_system_score_gemma":0.00149842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004942193,"about_ca_topic_score_gemma":0.003722175,"domain_scores_codex":[0.9971436,0.00175181,0.0001311142,0.0003229488,0.0005438201,0.0001066926],"domain_scores_gemma":[0.9842916,0.0141849,0.0006062843,0.0004137273,0.0004244184,0.00007910806],"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":[0.00004008684,0.00002269378,0.0008769372,0.0001204825,0.00007705417,0.00005313775,0.0001116423,0.9023603,0.0009824627,0.05216311,0.0002658129,0.0429263],"study_design_scores_gemma":[0.000003873774,0.00001536714,0.0002249988,0.00002510417,0.00001142235,0.0000208558,0.00001392788,0.9583649,0.0006290509,0.04036255,0.0003083439,0.00001966162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003582243,0.0001341915,0.9958598,0.00007695362,0.000005835802,0.00001042082,0.00001988724,0.00004549592,0.0002650745],"genre_scores_gemma":[0.5327259,0.001176592,0.4637542,0.000159591,0.0001058357,0.0003489164,0.0003519583,0.0001347349,0.001242285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007044904,"threshold_uncertainty_score":0.03725743,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Hadi Moosavi","is_ca":true},{"name":"Reza Mirza Hessabi","is_ca":true},{"name":"Oya Mercan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04809149148268255,"gpt":0.3235971070659879,"spread":0.2755056155833053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006752132,0.0003194645,0.0003971915,0.0002940718,0.0003407698,0.0005190616,0.0003504767,0.0006159968,0.002954771],"category_scores_gemma":[0.00212585,0.0001772033,0.0003332877,0.0001979095,0.0006270703,0.0003246162,0.0004148585,0.0004424896,0.000226456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005790013,"about_ca_system_score_gemma":0.0008474289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006918991,"about_ca_topic_score_gemma":0.003356835,"domain_scores_codex":[0.999786,0.00005528907,0.0000113825,0.00002081682,0.0001046975,0.00002184611],"domain_scores_gemma":[0.9992446,0.0004445224,0.00008763171,0.00004136761,0.0001647563,0.00001717654],"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":[0.00002718081,0.00001267771,0.0002443054,0.00003723736,0.000004628022,0.00002036798,0.00002801332,0.9889809,0.001696205,0.005160877,0.0001159422,0.003671756],"study_design_scores_gemma":[0.000001895212,0.000004959373,0.0000307664,0.000001239334,5.936433e-7,0.000001542408,0.000001754096,0.9993997,0.0002314813,0.0002216947,0.0001035186,9.063251e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08895673,0.0003581078,0.8897592,0.0002930636,0.00007538048,0.0001222321,0.00007307046,0.0003335004,0.02002871],"genre_scores_gemma":[0.9569938,0.0001656471,0.03846747,0.00002993147,0.00001012721,0.0001778298,0.00005687666,0.00002726989,0.004071065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006918991,"threshold_uncertainty_score":0.01375747,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[{"name":"Farnaz Raeisi","is_ca":true},{"name":"Aftab A. Mufti","is_ca":true},{"name":"Basheer Algohi","is_ca":true},{"name":"D. J. Thomson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06028535024456505,"gpt":0.3347148469414212,"spread":0.2744294966968561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002946671,0.0005926679,0.0004376518,0.0003971885,0.0002111207,0.0002956979,0.000576787,0.0005099584,0.000839284],"category_scores_gemma":[0.0009867055,0.0003246717,0.0002301365,0.0001288262,0.0002636457,0.0003815703,0.0004064094,0.0002154949,0.0002311617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002670031,"about_ca_system_score_gemma":0.0003974498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008028203,"about_ca_topic_score_gemma":0.002237352,"domain_scores_codex":[0.999777,0.00002999834,0.00001130139,0.00007625482,0.00007841668,0.00002699525],"domain_scores_gemma":[0.9994015,0.0001370259,0.0001388188,0.00006505002,0.0002254986,0.00003215962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000347276,0.0000827838,0.01812017,0.0002331174,0.00002392699,0.0001760346,0.0002580833,0.03932068,0.8787611,0.0002638296,0.0002959884,0.06211721],"study_design_scores_gemma":[0.0000991161,0.001947964,0.06024839,0.00007080226,0.0001274126,0.0003762958,0.0003270604,0.2005096,0.734107,0.0004365357,0.001670897,0.00007887911],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9021047,0.0001162068,0.0955933,0.00004103994,0.00002148374,0.00006190496,0.0001164563,0.0003291853,0.001615657],"genre_scores_gemma":[0.9360484,0.00003914068,0.06353828,0.000007832922,0.000002293319,0.00003045263,0.00004116596,0.00001351956,0.0002788031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000839284,"threshold_uncertainty_score":0.002807736,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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","authors":[{"name":"Fidelis Mashiri","is_ca":false},{"name":"Suraj Joshi","is_ca":true},{"name":"Neme Lung Pang","is_ca":false},{"name":"Daya Dayawansa","is_ca":false},{"name":"X.L. Zhao","is_ca":false},{"name":"Gerard Bernard Chitty","is_ca":false},{"name":"Hui Jiao","is_ca":false},{"name":"John W Price","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04292330584736497,"gpt":0.2882829699607359,"spread":0.2453596641133709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004481652,0.0006983914,0.0004219132,0.001161677,0.001991441,0.0005655462,0.001231758,0.001798123,0.001593534],"category_scores_gemma":[0.001051602,0.0003209255,0.0004450884,0.0008822826,0.0009158275,0.0005315568,0.0005988865,0.0004079527,0.000358405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610061,"about_ca_system_score_gemma":0.0006961093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03243817,"about_ca_topic_score_gemma":0.07826679,"domain_scores_codex":[0.9995859,0.00005313582,0.00001826648,0.0000818469,0.0001612205,0.00009961893],"domain_scores_gemma":[0.9991452,0.0002503823,0.0001225161,0.00008289256,0.0001911358,0.0002078249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003557318,0.00332615,0.4390277,0.0007552666,0.000207456,0.09993112,0.01737417,0.1868587,0.1206832,0.003042909,0.005132386,0.1201035],"study_design_scores_gemma":[0.0002331122,0.01104662,0.6146525,0.00009525281,0.0001570125,0.01577237,0.03651656,0.2442352,0.0629122,0.001213555,0.01288186,0.0002837398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989838,0.00001160756,0.0004821486,0.0000153105,0.000001365903,0.00001737944,0.0000374336,0.00001653885,0.0004344122],"genre_scores_gemma":[0.9975447,0.0000197636,0.001273414,0.00000585625,0.000002719498,0.000008960331,0.00008058417,0.000009292831,0.001054614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03243817,"threshold_uncertainty_score":0.06449872,"prediction_status":"machine_predicted_unvalidated"},"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,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.04701595687298019,"gpt":0.3224977144766632,"spread":0.275481757603683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009159911,0.0008377655,0.0009386452,0.0009320736,0.0004736538,0.0006888079,0.001807859,0.001090222,0.0007725684],"category_scores_gemma":[0.002713596,0.0003797131,0.0004673623,0.0007054438,0.00055995,0.001072109,0.001870452,0.0009327498,0.0002080663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004882595,"about_ca_system_score_gemma":0.0007203449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004095837,"about_ca_topic_score_gemma":0.006945222,"domain_scores_codex":[0.9993205,0.0001225404,0.00002721199,0.0002716577,0.0001868756,0.00007125887],"domain_scores_gemma":[0.9988922,0.0004923943,0.000179272,0.0001711399,0.0001863226,0.00007850718],"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":[0.0003115239,0.0003886763,0.02097992,0.0003503484,0.0002679338,0.0006675347,0.0008860648,0.5543814,0.02937332,0.01325576,0.005209416,0.3739281],"study_design_scores_gemma":[0.0000104256,0.00006425111,0.002485664,0.00001315203,0.00001915863,0.00005891995,0.0000998684,0.9848998,0.001849793,0.009352183,0.001132104,0.00001472469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0554729,0.0003252765,0.9402906,0.0004128652,0.00009826897,0.0001042653,0.0002654829,0.0006437059,0.002386673],"genre_scores_gemma":[0.8806875,0.0001696779,0.1165193,0.0002512065,0.0001201596,0.0001096621,0.0003601357,0.00005136357,0.001731007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004095837,"threshold_uncertainty_score":0.008143961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}