{"meta":{"query_hash":"e37453809540","filters":{"venue":"Journal of Civil Structural Health Monitoring"},"cohort_total":49,"direct_labels_cover":0,"predictions_cover":49,"exported":49,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e37453809540","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Civil+Structural+Health+Monitoring"},"results":[{"id":"W1989208462","doi":"10.1007/s13349-011-0014-8","title":"Structural health monitoring of slab-column connections using FBG sensors","year":2012,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Structural health monitoring; Slab; Column (typography); Structural engineering; Geology; Engineering; Computer science; Connection (principal bundle)","score_opus":0.04446706900896393,"score_gpt":0.33291153895515624,"score_spread":0.28844446994619233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989208462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765355,0.007978113,0.00059397664,0.00011418831,0.014330179,0.0002675436,0.000018192839,0.00011819275,0.000044127275],"genre_scores_gemma":[0.967394,0.00050144666,0.027542705,0.00001184964,0.0044256803,0.0000019515833,0.000001249295,0.000107330954,0.000013763992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99575037,0.00015316719,0.0018549813,0.00020487726,0.00076039135,0.0012762138],"domain_scores_gemma":[0.9970685,0.00024106799,0.0012167871,0.00033538896,0.00031298312,0.00082524604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006406133,0.00044391764,0.0010444393,0.00043919843,0.00043609788,0.000043740685,0.000293886,0.00016155666,0.000025362602],"category_scores_gemma":[0.00011964361,0.00043329495,0.00024932358,0.00056580344,0.00008337333,0.0010866505,0.000053999756,0.0010431238,0.0000020160692],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001223902,0.000029603532,0.40312237,0.00165047,0.00043061955,0.000020568488,0.010233708,0.5331932,0.018008178,0.0001468019,0.0001181302,0.032923974],"study_design_scores_gemma":[0.0041412427,0.0011687357,0.88374466,0.004096449,0.00020824034,0.0042717434,0.01523544,0.0261697,0.05696875,0.0006716855,0.0012423205,0.0020810443],"about_ca_topic_score_codex":0.00021058015,"about_ca_topic_score_gemma":0.000015393634,"teacher_disagreement_score":0.50702345,"about_ca_system_score_codex":0.0016245833,"about_ca_system_score_gemma":0.00021361295,"threshold_uncertainty_score":0.9998119},"labels":[],"label_agreement":null},{"id":"W2000496930","doi":"10.1007/s13349-013-0057-0","title":"The economic case for service life extension of structures using structural health monitoring based on the delayed cost of borrowing","year":2013,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Structural health monitoring; Service (business); Service life; Bridge (graph theory); Reliability engineering; Inflation (cosmology); Bearing capacity; Life extension; Engineering; Computer science; Economics; Risk analysis (engineering); Structural engineering; Business; Medicine","score_opus":0.050686631909335755,"score_gpt":0.3436590524197994,"score_spread":0.2929724205104636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000496930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859821,0.0029315415,0.00045049275,0.0011229087,0.007739772,0.0016045766,0.000056662204,0.00010534912,0.000006589064],"genre_scores_gemma":[0.98481876,0.00028862624,0.0123293195,0.00010652849,0.0022953127,0.00003616297,0.0000023732987,0.00012175318,0.0000011544896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947409,0.00031998745,0.0027432686,0.00033402632,0.00073798705,0.0011238261],"domain_scores_gemma":[0.9939011,0.0016935462,0.002323715,0.00074120116,0.00076486095,0.00057557866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014776445,0.0005974014,0.001154975,0.0003465476,0.001175486,0.00013223292,0.0008320272,0.00021001391,0.0000118740745],"category_scores_gemma":[0.0002670538,0.00038771037,0.00034010343,0.00038841722,0.00012722341,0.0005562379,0.00009368506,0.0010401192,4.796566e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011632659,0.000017632943,0.018536543,0.005501851,0.0005654883,0.00004036826,0.0040039727,0.77908295,0.015167439,0.0006424487,0.0009482565,0.17432977],"study_design_scores_gemma":[0.004058604,0.0028780175,0.32657176,0.005539213,0.0001961181,0.0021225363,0.007157857,0.5793543,0.06312854,0.0070306663,0.00033352582,0.0016288888],"about_ca_topic_score_codex":0.0032157023,"about_ca_topic_score_gemma":0.00010903532,"teacher_disagreement_score":0.30803522,"about_ca_system_score_codex":0.0019048477,"about_ca_system_score_gemma":0.0008636332,"threshold_uncertainty_score":0.9998575},"labels":[],"label_agreement":null},{"id":"W2011194523","doi":"10.1007/s13349-013-0040-9","title":"Developing a pattern-based method for detecting defective sensors in an instrumented bridge","year":2013,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Structural health monitoring; Bridge (graph theory); Strain gauge; Pier; Sensitivity (control systems); Data mining; Matching (statistics); Reliability (semiconductor); Computer science; Autoregressive model; Structural engineering; Engineering; Finite element method; Electronic engineering; Mathematics; Statistics","score_opus":0.048970034738314495,"score_gpt":0.37243412559249595,"score_spread":0.32346409085418143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011194523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586331,0.00027662131,0.036936928,0.00021555484,0.0028228909,0.00086260436,0.0000063169164,0.0002410193,0.0000049410146],"genre_scores_gemma":[0.8546283,0.000033932738,0.14413142,0.000055946097,0.0010036435,0.00006401783,0.0000017991207,0.00008034516,5.5853144e-7],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99674946,0.00023043189,0.0014244239,0.00027455186,0.0004055263,0.0009156051],"domain_scores_gemma":[0.9979128,0.00048009516,0.0005978456,0.00023275914,0.00039656085,0.0003798906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086898886,0.00039055166,0.0007281509,0.00060823915,0.00023099927,0.00010395776,0.00035121455,0.00017801528,0.000007051912],"category_scores_gemma":[0.00015337374,0.0003648788,0.00015027825,0.00043538923,0.00002332307,0.0007753738,0.00003285833,0.000827035,8.398395e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007616531,0.000008131949,0.14670031,0.0012710532,0.000047416426,0.000009426058,0.0017150306,0.014947383,0.002301249,0.000012825175,0.000025241252,0.83288574],"study_design_scores_gemma":[0.0013856756,0.000623901,0.90654427,0.0013693861,0.000013196637,0.000107214095,0.0004974113,0.057053465,0.030270876,0.0016014345,0.00004351896,0.0004896638],"about_ca_topic_score_codex":0.00086199626,"about_ca_topic_score_gemma":0.00021515397,"teacher_disagreement_score":0.8323961,"about_ca_system_score_codex":0.002176849,"about_ca_system_score_gemma":0.000248357,"threshold_uncertainty_score":0.9998803},"labels":[],"label_agreement":null},{"id":"W2015117772","doi":"10.1007/s13349-012-0031-2","title":"Output-only de-tuning assessment of tuned mass dampers","year":2012,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Parametric statistics; Control theory (sociology); Principal component analysis; Modal; Engineering; Set (abstract data type); Computer science; Mathematics; Statistics; Artificial intelligence; Materials science","score_opus":0.03358232047566488,"score_gpt":0.359797653037819,"score_spread":0.3262153325621541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015117772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860085,0.0033625285,0.0020435753,0.00012599168,0.0077377497,0.00020866655,0.000006933969,0.00019201759,0.00031400385],"genre_scores_gemma":[0.94234496,0.0006500025,0.0539243,0.000020355244,0.002974627,0.000004486574,0.0000011454728,0.00007086724,0.000009274661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964497,0.00015624397,0.0014409531,0.00013695803,0.0007403991,0.0010757144],"domain_scores_gemma":[0.9977504,0.0002066552,0.0008136238,0.00029163776,0.00023278117,0.0007049154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013238844,0.00034169032,0.000767722,0.00038112956,0.00018353658,0.00003437569,0.00043289477,0.00017535538,0.00001838892],"category_scores_gemma":[0.00007830816,0.0003075708,0.00019543376,0.00032897395,0.000053967575,0.00070845505,0.000051376788,0.0009885582,6.293911e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005044205,0.000015357115,0.8214315,0.0016838474,0.0001523998,0.000012435943,0.002603707,0.004594566,0.00864935,0.00027630353,0.000425645,0.16010441],"study_design_scores_gemma":[0.00051217136,0.00029986774,0.98707175,0.0008386247,0.0000318785,0.00031163424,0.0006078034,0.0014111141,0.0074617085,0.00044217816,0.0006941836,0.00031707273],"about_ca_topic_score_codex":0.00009348218,"about_ca_topic_score_gemma":0.0000042131837,"teacher_disagreement_score":0.16564022,"about_ca_system_score_codex":0.001683349,"about_ca_system_score_gemma":0.0003736779,"threshold_uncertainty_score":0.99993765},"labels":[],"label_agreement":null},{"id":"W2017715470","doi":"10.1007/s13349-014-0099-y","title":"Crack width monitoring system for reinforced concrete beams using piezo-ceramic sensors","year":2014,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Structural health monitoring; Beam (structure); Span (engineering); Ceramic; Calibration; Structural engineering; Engineering; Materials science; Composite material","score_opus":0.018179131883364123,"score_gpt":0.2715403872338873,"score_spread":0.2533612553505232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017715470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94543004,0.0006977795,0.04539514,0.0000362098,0.008004107,0.00027300377,0.000008115992,0.0001090541,0.00004654542],"genre_scores_gemma":[0.97800094,0.00010519393,0.017339427,0.000005663404,0.0044596232,0.0000034071231,0.0000019462145,0.00007144252,0.0000123702985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976607,0.000058441175,0.0010906744,0.0001619763,0.00043688263,0.0005913517],"domain_scores_gemma":[0.9983263,0.00023401824,0.00065339793,0.00018046612,0.00031056386,0.00029528074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00077596644,0.0002821262,0.0005758878,0.00017770611,0.00033086442,0.00011997231,0.00020856381,0.00012477027,0.0000021559247],"category_scores_gemma":[0.000118800956,0.00025703222,0.00017162836,0.00016437973,0.000023333027,0.00040295708,0.00002023513,0.00044846802,0.0000010718899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084915286,8.3840933e-7,0.002435896,0.0023071063,0.00013350391,0.000006270484,0.00072640047,0.88064235,0.09351384,0.00016418031,0.000033216358,0.01995147],"study_design_scores_gemma":[0.0016839775,0.00040407781,0.0035426042,0.002406501,0.000090536494,0.00035604628,0.0007657681,0.9305892,0.059290674,0.00015818147,0.0002177093,0.0004947201],"about_ca_topic_score_codex":0.000033977674,"about_ca_topic_score_gemma":5.3670374e-7,"teacher_disagreement_score":0.049946845,"about_ca_system_score_codex":0.00091999274,"about_ca_system_score_gemma":0.00009216805,"threshold_uncertainty_score":0.9999882},"labels":[],"label_agreement":null},{"id":"W2075516639","doi":"10.1007/s13349-014-0086-3","title":"Calibration of dielectric based moisture sensing in stone, mortar and stone-mortar sandwiches","year":2014,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Hygrothermal properties of building materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Works and Government Services Canada; Canadian Heritage; Manitoba Hydro; University of Manitoba","funders":"Public Works and Government Services Canada; Government of Canada","keywords":"Mortar; Capacitive sensing; Calibration; Capacitance; Masonry; Materials science; Dielectric; Linear regression; Acoustics; Voltage; Geotechnical engineering; Range (aeronautics); Moisture; Water content; Composite material; Electronic engineering; Mathematics; Electrical engineering; Geology; Engineering; Structural engineering; Optoelectronics; Physics; Statistics","score_opus":0.013900812428889261,"score_gpt":0.258788661785771,"score_spread":0.2448878493568817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075516639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99593335,0.0019633812,0.0008151666,0.00014769308,0.0009610577,0.00012412861,0.0000020630237,0.00003118287,0.000021943362],"genre_scores_gemma":[0.99557525,0.00013527257,0.00367805,0.00002511685,0.00054764963,6.259037e-7,6.100786e-7,0.000035626872,0.0000017780103],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983577,0.00012353183,0.000810145,0.0001124711,0.00029010687,0.0003060451],"domain_scores_gemma":[0.99919355,0.00010397304,0.00034794793,0.0001510936,0.00007024723,0.00013317417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005983829,0.00018344258,0.00051398133,0.00024489456,0.000069322676,0.0000392552,0.00013686783,0.00008772535,0.000005206917],"category_scores_gemma":[0.00013318838,0.0001553001,0.00005053302,0.00015853369,0.0000305742,0.00030837918,0.000020979181,0.0003123214,1.2288679e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003342807,0.000018380428,0.13984402,0.0029280297,0.00011093557,0.000027795197,0.002580214,0.34689406,0.447551,0.000033954275,0.000088395806,0.05958893],"study_design_scores_gemma":[0.0019761801,0.0006312264,0.65880305,0.0018327453,0.00004155687,0.00010838341,0.00017785824,0.1469328,0.1883315,0.00053294987,0.00012317939,0.0005085761],"about_ca_topic_score_codex":0.00039626975,"about_ca_topic_score_gemma":0.00013334375,"teacher_disagreement_score":0.51895905,"about_ca_system_score_codex":0.00017763945,"about_ca_system_score_gemma":0.000055936194,"threshold_uncertainty_score":0.6332954},"labels":[],"label_agreement":null},{"id":"W2083248209","doi":"10.1007/s13349-012-0016-1","title":"Critical review on the assessment of glulam structures using shear core samples","year":2012,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"GLUE; Shear (geology); Structural engineering; Bending; Beam (structure); Core (optical fiber); Direct shear test; Shear strength (soil); Flexural strength; Engineering; Scale (ratio); Materials science; Geology; Composite material; Mechanical engineering; Physics","score_opus":0.15271781614536814,"score_gpt":0.3970164066255308,"score_spread":0.24429859048016264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083248209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92730665,0.068932354,0.00009288309,0.0005746565,0.0027499155,0.0001741132,0.000007587003,0.000021414951,0.00014040222],"genre_scores_gemma":[0.9909805,0.003961488,0.0037745682,0.00006143036,0.0011950668,0.0000016211028,6.3286956e-7,0.00002288548,0.0000018090744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838513,0.000094416915,0.0006496546,0.000061855164,0.00044541233,0.00036353993],"domain_scores_gemma":[0.99907434,0.00026414366,0.00022443356,0.00015569094,0.00011521558,0.00016614924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004906329,0.00018196466,0.00044430804,0.00006748827,0.00016184883,0.000023509214,0.00016199834,0.000044424498,0.00006375],"category_scores_gemma":[0.00009381637,0.00010172706,0.00012704072,0.000112912,0.000047824113,0.00026446153,0.000021676899,0.00038281133,4.577846e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000182093,0.00014306106,0.7873204,0.027800227,0.0013458462,0.000034661938,0.0047887266,0.022585323,0.012731365,0.020551762,0.004516085,0.11800047],"study_design_scores_gemma":[0.0007685436,0.0010104306,0.96172595,0.015661262,0.0003231127,0.00051294937,0.0007759847,0.00198644,0.011367416,0.002865173,0.0024117155,0.00059101643],"about_ca_topic_score_codex":0.000023483222,"about_ca_topic_score_gemma":0.0000019369195,"teacher_disagreement_score":0.17440557,"about_ca_system_score_codex":0.00024355864,"about_ca_system_score_gemma":0.00007066144,"threshold_uncertainty_score":0.41483092},"labels":[],"label_agreement":null},{"id":"W2083420248","doi":"10.1007/s13349-011-0006-8","title":"Crack detection of steel girders using Brillouin optical time domain analysis","year":2011,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Girder; Materials science; Brillouin zone; Structural engineering; Optical fiber; Time domain; Optics; Fiber optic sensor; Bridge (graph theory); Acoustics; Composite material; Fiber; Engineering; Computer science; Physics","score_opus":0.02154302127372514,"score_gpt":0.25824932303439335,"score_spread":0.2367063017606682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083420248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696619,0.0005397582,0.02873955,0.000009700543,0.0008494957,0.000068177134,0.0000031222376,0.000021915479,0.000106406835],"genre_scores_gemma":[0.9844911,0.000072403185,0.015039781,0.0000028049606,0.00036956297,3.4492933e-7,5.413414e-7,0.000020231377,0.0000032206556],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985169,0.000042787877,0.0007513577,0.000091142254,0.00032830494,0.0002695127],"domain_scores_gemma":[0.9991295,0.0000494427,0.00040195178,0.00010713431,0.0001505336,0.00016143572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041351034,0.00013811678,0.00041439853,0.00029820806,0.00008691245,0.000019108695,0.00011237364,0.00007514378,0.00002996665],"category_scores_gemma":[0.000033375192,0.00012351987,0.0001728362,0.00042195476,0.000028440658,0.0002057184,0.000013675681,0.00028024073,9.109254e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015801562,0.00003212409,0.020689743,0.00056110654,0.0012716458,0.00002064425,0.003305205,0.23151085,0.68906677,0.000046516703,0.00001094472,0.053326428],"study_design_scores_gemma":[0.0015500567,0.00083468214,0.4616489,0.0006098175,0.00096745027,0.00032325348,0.001352097,0.33475637,0.19511186,0.0020823763,0.00006251235,0.0007006145],"about_ca_topic_score_codex":0.0000687203,"about_ca_topic_score_gemma":0.000017570383,"teacher_disagreement_score":0.49395493,"about_ca_system_score_codex":0.00027475512,"about_ca_system_score_gemma":0.00005280986,"threshold_uncertainty_score":0.5036994},"labels":[],"label_agreement":null},{"id":"W2193741323","doi":"10.1007/s13349-015-0144-5","title":"Evaluation of damage progression in concrete structures due to reinforcing steel corrosion using acoustic emission monitoring","year":2015,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Acoustic emission; Corrosion; Materials science; Cracking; Concrete cover; SIGNAL (programming language); Structural engineering; Corrosion monitoring; Composite material; Engineering; Computer science","score_opus":0.07880244124119225,"score_gpt":0.37593429012688284,"score_spread":0.2971318488856906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193741323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913541,0.00216457,0.0010731491,0.00003148879,0.004831257,0.00046053433,0.000003709587,0.000043156953,0.000038025297],"genre_scores_gemma":[0.99562776,0.00004696066,0.0035806329,0.000004516371,0.00069655577,0.0000038621206,0.0000011379879,0.000036619385,0.000001951201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99591726,0.0003059822,0.0014135226,0.0002034641,0.0017043861,0.00045540594],"domain_scores_gemma":[0.9973836,0.00012947971,0.00062450004,0.00026568005,0.0010246988,0.0005720425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034057542,0.00027820334,0.000661533,0.00042713256,0.00011896565,0.00005245877,0.00025435112,0.00014784059,0.000011103619],"category_scores_gemma":[0.0008486353,0.00023750775,0.00009860395,0.0004949723,0.000029210227,0.0005326016,0.00009212022,0.0005813337,3.8320425e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024508254,0.000002617986,0.053061407,0.00048149755,0.000010179423,0.00001736304,0.0031745955,0.49583104,0.38306224,0.0000022646502,0.000031841664,0.064079866],"study_design_scores_gemma":[0.0048304005,0.0011554911,0.26424798,0.008779185,0.0001494659,0.00030003875,0.004929065,0.4582945,0.2559889,0.00053277257,0.000043888645,0.000748313],"about_ca_topic_score_codex":0.00007541788,"about_ca_topic_score_gemma":0.000019244348,"teacher_disagreement_score":0.21118657,"about_ca_system_score_codex":0.001803406,"about_ca_system_score_gemma":0.0005492944,"threshold_uncertainty_score":0.96852845},"labels":[],"label_agreement":null},{"id":"W2529801842","doi":"10.1007/s13349-016-0196-1","title":"A fixed-order time series model for damage detection and localization","year":2016,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Series (stratigraphy); Structural health monitoring; Context (archaeology); Computer science; Time series; Automation; Algorithm; Grid; Mathematical optimization; Data mining; Structural engineering; Applied mathematics; Mathematics; Engineering; Machine learning","score_opus":0.01698246609481663,"score_gpt":0.29258604314320646,"score_spread":0.27560357704838984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529801842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88804907,0.0009180266,0.10790263,0.00029525792,0.00217717,0.00036100467,0.000015889751,0.0002646078,0.000016326188],"genre_scores_gemma":[0.97940844,0.000648395,0.018656636,0.00001569329,0.001148396,0.000012999702,5.932732e-7,0.000052550917,0.00005628362],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846894,0.000037251742,0.00068485,0.00014433329,0.0002546488,0.00040996773],"domain_scores_gemma":[0.9989291,0.00011502716,0.0002995819,0.00013869302,0.00028427347,0.0002333555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032517602,0.00021696967,0.00036130307,0.00019240064,0.00022855126,0.000039808183,0.00013501919,0.00012145366,0.0000056103713],"category_scores_gemma":[0.00009939546,0.00015597716,0.00006066544,0.00015395945,0.00004193082,0.00074222236,0.000026697415,0.00019392933,7.6088236e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005641889,0.000008440318,0.013248831,0.0023947048,0.0001220817,0.000007433748,0.0019402726,0.040344164,0.035889946,0.00015786794,0.001069664,0.9042524],"study_design_scores_gemma":[0.0037813666,0.0021028281,0.1307906,0.003277253,0.00008846068,0.00072121125,0.00022455533,0.7432486,0.085640766,0.025713969,0.0030719584,0.001338419],"about_ca_topic_score_codex":0.000010917894,"about_ca_topic_score_gemma":0.000017977934,"teacher_disagreement_score":0.902914,"about_ca_system_score_codex":0.0004852381,"about_ca_system_score_gemma":0.00007687067,"threshold_uncertainty_score":0.63605636},"labels":[],"label_agreement":null},{"id":"W2593158778","doi":"10.1007/s13349-016-0199-y","title":"An adaptive filtering-based solution for the Bayesian modal identification formulation","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maximum a posteriori estimation; Modal; Algorithm; Bayesian probability; A priori and a posteriori; System identification; Computer science; Truncation (statistics); Identification (biology); Mathematical optimization; Data mining; Mathematics; Machine learning; Artificial intelligence; Statistics","score_opus":0.048856867023034066,"score_gpt":0.3621970954805573,"score_spread":0.31334022845752324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593158778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6880157,0.0008188187,0.30010125,0.0007840375,0.009212036,0.00081031484,0.000022726192,0.00022153965,0.000013566347],"genre_scores_gemma":[0.9778463,0.00008612478,0.018957945,0.000013212468,0.0030111547,0.000031710384,0.000003467798,0.00004716286,0.0000028873108],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980602,0.000050944363,0.0008616114,0.00016279629,0.00040683884,0.00045761175],"domain_scores_gemma":[0.9977534,0.00016393581,0.0009967604,0.00054773845,0.00032432648,0.00021387082],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007993714,0.000225319,0.000313727,0.00014913942,0.0014296992,0.00024238761,0.00067045784,0.000117929325,0.0000032941523],"category_scores_gemma":[0.00009870792,0.00017357526,0.00013574668,0.000067440036,0.000047147896,0.001162093,0.000023552817,0.00039754866,3.5305516e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059530005,0.0000145554395,0.013177988,0.0008296054,0.00010208158,0.0000041594312,0.0012324622,0.101252116,0.010872382,0.00043193717,0.0003481622,0.8711392],"study_design_scores_gemma":[0.0005112209,0.00047125458,0.50476015,0.00026446173,0.000024432988,0.0000254599,0.00007800596,0.48007444,0.01125391,0.0022102902,0.00013553229,0.00019082741],"about_ca_topic_score_codex":0.00013802428,"about_ca_topic_score_gemma":0.00006873414,"teacher_disagreement_score":0.87094843,"about_ca_system_score_codex":0.0007251462,"about_ca_system_score_gemma":0.00012122056,"threshold_uncertainty_score":0.9998703},"labels":[],"label_agreement":null},{"id":"W2595011082","doi":"10.1007/s13349-017-0217-8","title":"Monitoring wooden Warren truss hangar to extend their design life","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Canadian Armed Forces","funders":"","keywords":"Truss; Structural health monitoring; Engineering; Structural engineering; Strain gauge; Structural system; Service life; Truss bridge; Structural load; Construction engineering; Forensic engineering; Reliability engineering","score_opus":0.07135032232538134,"score_gpt":0.35225543720353586,"score_spread":0.2809051148781545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595011082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96842855,0.007291376,0.0017778266,0.0011875193,0.020114467,0.0006351951,0.000012669829,0.00045309868,0.00009926689],"genre_scores_gemma":[0.9563213,0.0017706222,0.03149441,0.000035711742,0.010174793,0.000025627984,4.582006e-7,0.00014418078,0.000032908265],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9957243,0.0001687915,0.0015580235,0.00037147856,0.00088138174,0.0012960077],"domain_scores_gemma":[0.9959738,0.00022708595,0.0010060045,0.0009911717,0.00036948934,0.0014324029],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001232028,0.00062857114,0.0011004434,0.0004525672,0.00124776,0.00042844328,0.0017112017,0.00025032632,0.000016222972],"category_scores_gemma":[0.00045840527,0.0005313191,0.00024791108,0.00022111465,0.000082039885,0.0011362028,0.00022298239,0.0012592406,0.000009083946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000403494,0.000019046467,0.08638646,0.0011383997,0.00031792783,0.00011538833,0.005449048,0.012591419,0.00518135,0.00004731674,0.0031899237,0.8851602],"study_design_scores_gemma":[0.0011076032,0.00087703357,0.92377913,0.0030659083,0.00004102089,0.00031413924,0.0006265453,0.0010387126,0.063695036,0.002287219,0.00217346,0.0009942203],"about_ca_topic_score_codex":0.00021118547,"about_ca_topic_score_gemma":0.000012575515,"teacher_disagreement_score":0.884166,"about_ca_system_score_codex":0.0011668891,"about_ca_system_score_gemma":0.00029564183,"threshold_uncertainty_score":0.99971384},"labels":[],"label_agreement":null},{"id":"W2731955056","doi":"10.1007/s13349-017-0230-y","title":"Infrared thermographic assessment of cement mortar porosity and strength","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Porosity; Compressive strength; Materials science; Thermography; Mortar; Cement; Composite material; Aggregate (composite); Exponential function; Infrared; Mathematics","score_opus":0.017367865911839617,"score_gpt":0.3137822843714876,"score_spread":0.29641441845964794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731955056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964316,0.0016166,0.0004450773,0.00003223749,0.0010149637,0.000116955656,0.00003666442,0.000037980288,0.0002679402],"genre_scores_gemma":[0.9959188,0.0013982645,0.00239577,0.0000045565316,0.0002605336,0.0000019071385,5.783879e-7,0.000016184258,0.0000033779634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988223,0.000032985252,0.00054945686,0.00008338853,0.0002857856,0.00022609139],"domain_scores_gemma":[0.99885416,0.000039308852,0.00060399505,0.00025392065,0.00008599876,0.00016261089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037392692,0.00015263134,0.0003711232,0.00014946703,0.00024338864,0.000051719657,0.0002596933,0.00006257897,0.000011732087],"category_scores_gemma":[0.0000126965915,0.00012707662,0.00009983866,0.00005629272,0.000069477646,0.00025041154,0.00003934235,0.0003428221,1.0252572e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008467767,0.00003670022,0.85631025,0.0012284144,0.00040463422,0.000026474123,0.0014880337,0.0010940487,0.018778801,0.00033776206,0.00015490246,0.12005532],"study_design_scores_gemma":[0.00037708212,0.000247027,0.99057984,0.0003624427,0.000025674202,0.000025747606,0.00011015009,0.0005129777,0.00592538,0.0016410053,0.00007414866,0.00011852786],"about_ca_topic_score_codex":0.00008250781,"about_ca_topic_score_gemma":0.000018603345,"teacher_disagreement_score":0.13426961,"about_ca_system_score_codex":0.000067048,"about_ca_system_score_gemma":0.00004876588,"threshold_uncertainty_score":0.51820344},"labels":[],"label_agreement":null},{"id":"W2746563896","doi":"10.1007/s13349-017-0236-5","title":"Assessment of cracks detection in pavement by a distributed fiber optic sensing technology","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Colas (Canada)","funders":"","keywords":"Optical fiber; Cracking; Asphalt; Rayleigh scattering; Materials science; Distributed acoustic sensing; Asphalt concrete; Fiber; Fiber optic sensor; Structural engineering; Optics; Composite material; Engineering","score_opus":0.013287557128390743,"score_gpt":0.3168921190027843,"score_spread":0.30360456187439355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746563896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929861,0.00050196063,0.0046852403,0.00018322101,0.0014293069,0.00013049874,0.0000075423873,0.0000321679,0.0000439991],"genre_scores_gemma":[0.985838,0.00013614917,0.013800878,0.0000022422762,0.00018959663,0.0000010752697,8.921036e-7,0.000024778294,0.000006403983],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983818,0.000027771046,0.0008167376,0.00011588799,0.00029612982,0.0003616796],"domain_scores_gemma":[0.99870867,0.000054751137,0.0007292828,0.00026849785,0.00012810815,0.00011067577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027110154,0.00016715107,0.00044808004,0.00022637463,0.00016247247,0.000033178352,0.00019989701,0.00014352793,0.000005625888],"category_scores_gemma":[0.000076166005,0.00015882442,0.00006069279,0.00013832959,0.00005162892,0.00028474187,0.00004240958,0.0007350177,3.6987208e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007571955,0.000047056594,0.095066205,0.0011294951,0.00028968768,0.00018615929,0.0005975577,0.24686351,0.17978267,0.00007410824,0.00006207827,0.47582573],"study_design_scores_gemma":[0.0028797542,0.0006190947,0.80792,0.0019206436,0.000046531342,0.00054042815,0.0008640502,0.061816435,0.120975256,0.0010676235,0.00076813024,0.0005820898],"about_ca_topic_score_codex":0.000042772095,"about_ca_topic_score_gemma":0.000037811704,"teacher_disagreement_score":0.7128538,"about_ca_system_score_codex":0.00086262304,"about_ca_system_score_gemma":0.00005140591,"threshold_uncertainty_score":0.6476672},"labels":[],"label_agreement":null},{"id":"W2765635713","doi":"10.1007/s13349-017-0248-1","title":"Quantifying live bending moments in rail using train-mounted vertical track deflection measurements and track modulus estimations","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Deflection (physics); Track (disk drive); Bending moment; Bending stiffness; Standard deviation; Structural engineering; Bending; Finite element method; Stiffness; Engineering; Mathematics; Physics; Mechanical engineering; Statistics; Classical mechanics","score_opus":0.10035053016396626,"score_gpt":0.372101676048526,"score_spread":0.27175114588455973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765635713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905727,0.00074376736,0.0055149286,0.000054193104,0.0029109938,0.00012007534,0.0000032777778,0.00004687899,0.00003317424],"genre_scores_gemma":[0.9938418,0.00016465895,0.005564055,0.0000029736889,0.00038496795,0.0000017245884,8.034677e-7,0.000036736576,0.000002229499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983079,0.000037010293,0.00070276123,0.0001432955,0.00037577248,0.00043329273],"domain_scores_gemma":[0.9992619,0.000046532707,0.00021413976,0.00015880752,0.000089511275,0.00022912213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048284023,0.00021024958,0.00038377222,0.00026723705,0.00043307967,0.00018702024,0.00017092472,0.00009641246,0.0000025026095],"category_scores_gemma":[0.00015700205,0.00021213392,0.000067952176,0.00010494405,0.000032012624,0.0007922795,0.000021785821,0.0005245482,4.071123e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050266524,0.000014845467,0.082523786,0.00038826407,0.00007911551,0.00001945477,0.0017879497,0.8838535,0.011256738,0.000015315767,0.000005709113,0.020005083],"study_design_scores_gemma":[0.00079687295,0.0000790671,0.3105087,0.000715615,0.000020944484,0.00013030291,0.00022642981,0.68642414,0.0008240766,0.00009962812,0.0000031208092,0.00017112395],"about_ca_topic_score_codex":0.00011732208,"about_ca_topic_score_gemma":0.00015121896,"teacher_disagreement_score":0.22798492,"about_ca_system_score_codex":0.00074396614,"about_ca_system_score_gemma":0.000059641545,"threshold_uncertainty_score":0.86505705},"labels":[],"label_agreement":null},{"id":"W2769898870","doi":"10.1007/s13349-017-0256-1","title":"Evaluation of one hundred and one instrumented bridges suggests a new level of inspection should be established in the bridge design codes","year":2017,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bridge (graph theory); Structural engineering; Engineering; Civil engineering; Forensic engineering; Computer science; Medicine","score_opus":0.2555808115600114,"score_gpt":0.37730133824347223,"score_spread":0.12172052668346084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769898870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939752,0.0011748491,0.0024457872,0.00042346565,0.001587772,0.00033261892,0.000009358523,0.000015350277,0.00003557074],"genre_scores_gemma":[0.99492806,0.0005992796,0.0035963359,0.000008554123,0.00084005925,0.0000033238744,0.0000011695329,0.000021532172,0.0000016875028],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974753,0.00018245372,0.0008803902,0.0001274231,0.0010202178,0.0003142105],"domain_scores_gemma":[0.99815184,0.00011254394,0.0009006559,0.00027581592,0.00045042334,0.00010874982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024058314,0.0001748713,0.00051908847,0.00024436583,0.00021332553,0.000092033784,0.00032867404,0.00009681072,0.0000025765814],"category_scores_gemma":[0.00040621162,0.00015344484,0.00006458042,0.00014128645,0.00007872601,0.00070314395,0.00003187316,0.00047087917,4.7071822e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006461493,0.00006892742,0.15328586,0.0012071881,0.0004166425,0.000011427871,0.015101989,0.06253296,0.07492307,0.00018381861,0.00026136718,0.6913606],"study_design_scores_gemma":[0.0015581936,0.00024232068,0.95793843,0.00093846786,0.000076319644,0.000051368585,0.0005252429,0.003323804,0.03434208,0.00087746326,0.0000071862246,0.00011911293],"about_ca_topic_score_codex":0.0017279413,"about_ca_topic_score_gemma":0.00080090394,"teacher_disagreement_score":0.8046526,"about_ca_system_score_codex":0.00041318982,"about_ca_system_score_gemma":0.0003281529,"threshold_uncertainty_score":0.6257299},"labels":[],"label_agreement":null},{"id":"W2793112868","doi":"10.1007/s13349-018-0273-8","title":"Study of FRP bars under tension using acoustic emission detection technique","year":2018,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fibre-reinforced plastic; Acoustic emission; Materials science; Bar (unit); Pultrusion; Structural engineering; Composite material; Frequency domain; Time domain; Amplitude; SIGNAL (programming language); Optics; Engineering; Computer science; Physics","score_opus":0.038675180424188875,"score_gpt":0.32995722127343996,"score_spread":0.2912820408492511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793112868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776099,0.00025677274,0.01906512,0.000012327388,0.0027423576,0.00024919503,8.0505566e-7,0.00005140654,0.000012130021],"genre_scores_gemma":[0.99798924,0.0000358314,0.0012283231,0.0000060287016,0.0007139705,0.000001293137,1.0053001e-7,0.000023284278,0.0000019167967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983804,0.00009491962,0.0007884795,0.00011976064,0.00037617475,0.00024026608],"domain_scores_gemma":[0.9988816,0.00006661107,0.00035073337,0.00018104164,0.0003307081,0.00018934495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049974996,0.00015655393,0.00036207915,0.00019468564,0.00018693839,0.000017582242,0.0001237008,0.00009063094,0.000015896414],"category_scores_gemma":[0.00007484216,0.00012710168,0.0000745544,0.0002605964,0.000031923,0.00020568953,0.000038847462,0.00039610892,3.2001046e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012152266,0.000018695622,0.012595496,0.00023020472,0.000020546928,0.0000068022873,0.0012622118,0.023196595,0.9455215,3.9029376e-7,0.000016232569,0.017009802],"study_design_scores_gemma":[0.0023419964,0.0044006286,0.33212936,0.0019430164,0.000114825496,0.0008169263,0.008183743,0.07073901,0.57820225,0.00045193286,0.0000670638,0.00060925196],"about_ca_topic_score_codex":0.00008574056,"about_ca_topic_score_gemma":0.00004294376,"teacher_disagreement_score":0.36731926,"about_ca_system_score_codex":0.00044196704,"about_ca_system_score_gemma":0.000075047436,"threshold_uncertainty_score":0.51830566},"labels":[],"label_agreement":null},{"id":"W2796752782","doi":"10.1007/s13349-018-0281-8","title":"Detection of speed and axle configuration of moving vehicles using acoustic emission","year":2018,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Transport Systems and Technology","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Axle; Truck; Bridge (graph theory); Weigh in motion; Structural engineering; Engineering; Process (computing); Automotive engineering; Computer science","score_opus":0.018458637560012484,"score_gpt":0.2755935946565525,"score_spread":0.25713495709654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796752782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99153906,0.0012140385,0.00596963,0.000009642382,0.0011696025,0.000061769286,0.0000015854569,0.000021859007,0.000012813836],"genre_scores_gemma":[0.99879944,0.00009136031,0.0006642624,7.532969e-7,0.00043059545,1.12692696e-7,1.4150147e-7,0.000012024085,0.0000012975202],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902946,0.000017227943,0.00060376024,0.000056834728,0.0001549876,0.00013775179],"domain_scores_gemma":[0.99929976,0.000025251515,0.00040237023,0.00006482476,0.00014372918,0.00006406797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018304132,0.00008465202,0.00027988272,0.00015791417,0.00007129301,0.0000061149594,0.000053798543,0.00008173046,0.0000030172364],"category_scores_gemma":[0.000017165818,0.00007333492,0.00003469526,0.0001141367,0.000051981104,0.00015865207,0.000006334203,0.00015941264,6.459151e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023800854,0.0000017480846,0.012619267,0.0004750226,0.000018641074,0.0000013901797,0.00039860135,0.0021012782,0.9636907,0.000006622797,0.0000010776158,0.020661823],"study_design_scores_gemma":[0.000437305,0.00034678206,0.14734356,0.00092480454,0.000024445093,0.00015014749,0.0003850121,0.012725705,0.8373659,0.0001806989,0.000023343779,0.000092302376],"about_ca_topic_score_codex":0.00010222311,"about_ca_topic_score_gemma":0.000032313183,"teacher_disagreement_score":0.13472429,"about_ca_system_score_codex":0.000086732565,"about_ca_system_score_gemma":0.000032835786,"threshold_uncertainty_score":0.29905114},"labels":[],"label_agreement":null},{"id":"W2891355367","doi":"10.1007/s13349-018-0304-5","title":"System identification and model updating of highway bridges using ambient vibration tests","year":2018,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Structural engineering; Finite element method; Structural health monitoring; Vibration; Stiffness; Box girder; Engineering; System identification; Algorithm; Experimental data; Girder; Computer science; Mathematics; Physics; Acoustics; Statistics; Data modeling","score_opus":0.033611901708189854,"score_gpt":0.3287374089312366,"score_spread":0.29512550722304676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891355367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98851866,0.00086457416,0.0069314498,0.000047907666,0.0032377264,0.00020963453,0.0000092861355,0.00016470042,0.0000160901],"genre_scores_gemma":[0.9723828,0.00012829117,0.02575481,0.00000507082,0.0016832447,0.0000023784896,0.0000011741517,0.000040501243,0.0000017337682],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755067,0.00007049492,0.0013763844,0.00016715437,0.00046965358,0.00036565692],"domain_scores_gemma":[0.99810284,0.000070509544,0.00096381764,0.0002069576,0.00044530068,0.00021057508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062122365,0.0002167074,0.00045505894,0.00029269644,0.00025982098,0.000059522805,0.00019787672,0.000106263746,0.0000011906617],"category_scores_gemma":[0.00005595159,0.00020046828,0.000060661925,0.00023485745,0.00006986652,0.0006207958,0.00004499728,0.00030374568,2.9500458e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002689029,0.000025000143,0.10845792,0.013197967,0.00022267728,0.000016837163,0.010178433,0.1040694,0.5813755,0.0017727806,0.00034958898,0.18006502],"study_design_scores_gemma":[0.00043435284,0.00032609954,0.3532034,0.0023802093,0.000037687296,0.00033590384,0.000718457,0.45483938,0.1868607,0.0005408827,0.000013349921,0.0003095984],"about_ca_topic_score_codex":0.00011704129,"about_ca_topic_score_gemma":0.000013064719,"teacher_disagreement_score":0.39451477,"about_ca_system_score_codex":0.0008067022,"about_ca_system_score_gemma":0.000112497204,"threshold_uncertainty_score":0.81748587},"labels":[],"label_agreement":null},{"id":"W2919402388","doi":"10.1007/s13349-019-00327-w","title":"A two-phase model to predict the remaining useful life of corroded reinforced concrete beams","year":2019,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Unavailability; Residual; Computer science; Structural health monitoring; Process (computing); Reliability engineering; Bridge (graph theory); Component (thermodynamics); Structural engineering; Engineering; Data mining; Algorithm","score_opus":0.02828930490592171,"score_gpt":0.30930923733341964,"score_spread":0.28101993242749795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919402388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935498,0.00052875903,0.002267547,0.00027373747,0.002702997,0.0003834875,0.000013631702,0.000059184582,0.00022084663],"genre_scores_gemma":[0.9973342,0.00007448194,0.0018727186,0.00012843755,0.0005173512,0.0000031787756,0.0000010930164,0.00003326042,0.00003532324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974956,0.00007959161,0.0012463899,0.00015447731,0.00058737124,0.00043657335],"domain_scores_gemma":[0.99812335,0.0002057831,0.0004993973,0.00039797812,0.00027188816,0.00050162734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009461758,0.0002275895,0.00063396565,0.00013847025,0.000118769785,0.000040298444,0.00038582654,0.00007317994,0.000039787068],"category_scores_gemma":[0.00026612755,0.00016253575,0.00018742979,0.00026610776,0.0000351949,0.0002834244,0.00007360866,0.0005910958,0.0000032586347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005999973,0.0000015003227,0.009756601,0.0005614949,0.00006275286,0.0000053179556,0.0053553022,0.9244076,0.053612303,0.00014617965,0.00046842682,0.0050225207],"study_design_scores_gemma":[0.004758934,0.001138519,0.00999978,0.0011159189,0.000044751465,0.000107489504,0.0016874629,0.96824694,0.012092038,0.00010627004,0.0002885166,0.00041338033],"about_ca_topic_score_codex":0.00003650928,"about_ca_topic_score_gemma":0.0000059352183,"teacher_disagreement_score":0.043839335,"about_ca_system_score_codex":0.00026167723,"about_ca_system_score_gemma":0.00028639522,"threshold_uncertainty_score":0.66280156},"labels":[],"label_agreement":null},{"id":"W2926158455","doi":"10.1007/s13349-019-00332-z","title":"Application of a hybrid structural health monitoring approach for condition assessment of cable-stayed bridges","year":2019,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of New Brunswick; Transport Canada; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Deck; Girder; Structural engineering; Bridge (graph theory); Structural health monitoring; Engineering; Structural system; Vibration; Orthotropic material; Visual inspection; Computer science; Finite element method; Artificial intelligence","score_opus":0.023137266183097593,"score_gpt":0.35551546184481536,"score_spread":0.3323781956617178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926158455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95081484,0.001987497,0.040693715,0.0001111803,0.004463244,0.0016138386,0.00011565604,0.00016605608,0.000033992976],"genre_scores_gemma":[0.9283166,0.00044476264,0.06952692,0.00000934638,0.0015257524,0.000046797126,0.00003079682,0.00009312261,0.0000059037434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99513465,0.00014939747,0.0025263026,0.00036239595,0.00096656627,0.00086065807],"domain_scores_gemma":[0.99571735,0.00027460064,0.0024499742,0.0004985499,0.00065553846,0.00040399164],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011022218,0.00047737936,0.0014692983,0.00049819314,0.0002163566,0.00003979432,0.0005594889,0.00014283991,0.0000070728915],"category_scores_gemma":[0.000046116875,0.00044748976,0.00030131903,0.00037087026,0.00007073941,0.00061236427,0.0000647116,0.00076079066,2.5800165e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004137662,0.0000503962,0.43334898,0.021399828,0.00039188674,0.0000035533255,0.0016168994,0.3763174,0.013909706,0.000422203,0.0003296445,0.15179573],"study_design_scores_gemma":[0.002519936,0.001973592,0.76040477,0.0017644365,0.000060436512,0.00025139196,0.0009609081,0.16860141,0.061131485,0.0015033984,0.00015914481,0.0006690924],"about_ca_topic_score_codex":0.0004926321,"about_ca_topic_score_gemma":0.0000046766418,"teacher_disagreement_score":0.32705578,"about_ca_system_score_codex":0.0017718269,"about_ca_system_score_gemma":0.0005078734,"threshold_uncertainty_score":0.9997977},"labels":[],"label_agreement":null},{"id":"W2927929195","doi":"10.1007/s13349-019-00330-1","title":"Long-term performance monitoring of GFRP-reinforced concrete beams using sensor-mounted supplemental rebars under harsh environmental conditions","year":2019,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Durability; Flexural strength; Structural engineering; Fibre-reinforced plastic; Reinforcement; Bar (unit); Reinforced concrete; Materials science; Beam (structure); Environmental science; Composite material; Engineering; Geology","score_opus":0.016573921573597952,"score_gpt":0.2924316349470672,"score_spread":0.27585771337346926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927929195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475473,0.00054036605,0.0003052879,0.000018014278,0.0039236625,0.00032068472,0.00006187024,0.00005257718,0.000022778071],"genre_scores_gemma":[0.9931458,0.0004034527,0.005555633,0.000009106529,0.0007461056,0.0000018532864,0.000017945249,0.00008162462,0.000038467333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9971142,0.000046616628,0.0012929825,0.00020166907,0.000674385,0.0006701533],"domain_scores_gemma":[0.9985086,0.00011285808,0.00073127425,0.00027582276,0.0000751021,0.00029636215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021384392,0.00036264965,0.0006606079,0.0002536783,0.00018945755,0.000036189267,0.00025838864,0.0001252854,0.00016164067],"category_scores_gemma":[0.00000973149,0.00036687782,0.00017670788,0.00017919572,0.00009001863,0.0008997678,0.000057633464,0.0006638079,0.000006893562],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076177676,0.0000024971632,0.3552442,0.00041811142,0.00017914527,0.000015576014,0.0007358675,0.4257547,0.21687569,0.000007663408,0.000005573847,0.0006848371],"study_design_scores_gemma":[0.003301761,0.0006354376,0.71539795,0.0017322117,0.000094312185,0.0009866431,0.0036335897,0.027032698,0.24640468,0.000013689365,0.00002925397,0.0007377831],"about_ca_topic_score_codex":0.000016516304,"about_ca_topic_score_gemma":7.5167713e-7,"teacher_disagreement_score":0.398722,"about_ca_system_score_codex":0.0012590461,"about_ca_system_score_gemma":0.00007711295,"threshold_uncertainty_score":0.99987835},"labels":[],"label_agreement":null},{"id":"W2954919858","doi":"10.1007/s13349-019-00341-y","title":"Vibration monitoring of a small concrete bridge using wavelet transforms on GPS data","year":2019,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Global Positioning System; Vibration; Structural health monitoring; Bridge (graph theory); Accelerometer; Wavelet; Wavelet transform; Sampling (signal processing); Span (engineering); Structural engineering; Continuous wavelet transform; Computer science; Acoustics; Engineering; Discrete wavelet transform; Telecommunications; Detector; Artificial intelligence","score_opus":0.07980303560661356,"score_gpt":0.34378030419972977,"score_spread":0.2639772685931162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954919858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987695,0.0015890568,0.000992635,0.00008423232,0.008851315,0.00050492777,0.00004713034,0.00017368223,0.0000620539],"genre_scores_gemma":[0.9708739,0.0006954358,0.025075128,0.0000133619415,0.0032334095,0.0000025168958,0.0000067731257,0.00009552065,0.000003939562],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99621105,0.0000930097,0.0017888899,0.00033294165,0.00081606593,0.00075803045],"domain_scores_gemma":[0.9974841,0.00022422592,0.00089106197,0.00076743093,0.00026345724,0.00036971207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008379354,0.0004393918,0.0009636806,0.00043360313,0.00016061988,0.00006283746,0.00090876175,0.00021730523,0.000013699253],"category_scores_gemma":[0.00006414226,0.00038670344,0.00016094171,0.00039979068,0.000044865526,0.0009434486,0.00009067917,0.0010369027,0.0000022248066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012011493,0.000019081755,0.18542728,0.01021917,0.00062876375,0.000083176026,0.005738024,0.029818367,0.10868217,0.00031968762,0.0002653845,0.6575977],"study_design_scores_gemma":[0.002653789,0.0019302731,0.8515714,0.0067879623,0.00009262188,0.00053963717,0.00053249625,0.023481628,0.109961115,0.0007944597,0.0005689982,0.001085609],"about_ca_topic_score_codex":0.00020553014,"about_ca_topic_score_gemma":0.000007008987,"teacher_disagreement_score":0.66614413,"about_ca_system_score_codex":0.0008533586,"about_ca_system_score_gemma":0.0002560815,"threshold_uncertainty_score":0.9998585},"labels":[],"label_agreement":null},{"id":"W3027326655","doi":"10.1007/s13349-020-00405-4","title":"Statistical analysis of favorable conditions for thermographic inspection of concrete slabs","year":2020,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Thermography; Noon; Thermal; Bridge (graph theory); Structural engineering; Environmental science; Delamination (geology); Materials science; Infrared; Meteorology; Engineering; Geology; Atmospheric sciences; Optics","score_opus":0.022365676265355912,"score_gpt":0.30066825103655226,"score_spread":0.27830257477119635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027326655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623127,0.0008883376,0.03537143,0.000051478713,0.00039672104,0.00015474249,0.0007428777,0.00005631964,0.000025362935],"genre_scores_gemma":[0.99693424,0.00019433476,0.0026388587,0.0000111273375,0.00019331269,0.000003577339,0.000008739586,0.000015532534,3.0303326e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99876827,0.000040340852,0.0007345811,0.00007609678,0.00020554806,0.0001751872],"domain_scores_gemma":[0.9989504,0.00020294121,0.00042137038,0.000080809026,0.00019589954,0.0001485761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021088684,0.00011286994,0.00054032076,0.00033882118,0.00008173909,0.000011034252,0.00011767044,0.00005929786,0.000023137107],"category_scores_gemma":[0.00004250703,0.00010101824,0.00023670468,0.0007321709,0.00007597649,0.00011032138,0.000007106485,0.0002139209,1.9824874e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008725855,0.00001805813,0.14896396,0.005008444,0.0076217144,0.000013282325,0.01036816,0.062087383,0.7432716,0.0049078083,0.001223607,0.01564343],"study_design_scores_gemma":[0.001833128,0.0029140816,0.7621666,0.00064727105,0.002214913,0.00003017242,0.0017213692,0.060486507,0.16191345,0.00524148,0.0002876222,0.0005433904],"about_ca_topic_score_codex":0.00005400805,"about_ca_topic_score_gemma":0.000010482072,"teacher_disagreement_score":0.61320263,"about_ca_system_score_codex":0.000043329972,"about_ca_system_score_gemma":0.0000472764,"threshold_uncertainty_score":0.41194043},"labels":[],"label_agreement":null},{"id":"W3033780772","doi":"10.1007/s13349-020-00411-6","title":"Towards smart cities: crowdsensing-based monitoring of transportation infrastructure using in-traffic vehicles","year":2020,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crowdsensing; Bridge (graph theory); Computer science; Pedestrian; Transport engineering; Gyroscope; Real-time computing; Road surface; Transportation infrastructure; Accelerometer; Engineering; Computer security; Civil engineering","score_opus":0.020176539465572397,"score_gpt":0.2724596367572569,"score_spread":0.25228309729168447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033780772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920806,0.0019675284,0.001155626,0.00015946955,0.004347636,0.00017583382,0.000020857935,0.00007605846,0.000016339813],"genre_scores_gemma":[0.98679996,0.000195588,0.010696705,0.000035596924,0.002196195,0.0000013110948,0.000003042757,0.00007096186,6.404256e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99688417,0.00006610729,0.0015505663,0.00021421973,0.0006486428,0.0006363197],"domain_scores_gemma":[0.998491,0.000073590534,0.0006529695,0.00016054854,0.00029001548,0.00033190986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028991065,0.0003912109,0.00084674195,0.00036139687,0.00017796578,0.000042914577,0.00029622458,0.00018585841,0.00001014764],"category_scores_gemma":[0.0000580344,0.0003705204,0.00021825075,0.0005884896,0.0000678475,0.0005108857,0.000018373079,0.00092838163,2.691812e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012825112,0.0000044963226,0.121853806,0.0010870255,0.00005411435,0.00005093983,0.0048426897,0.83094895,0.014267616,0.0000050387025,0.000027783222,0.026729302],"study_design_scores_gemma":[0.002943143,0.00059709937,0.8307275,0.0040288405,0.000089817884,0.000094284514,0.0037493545,0.05680303,0.09926924,0.0001843282,0.0006560538,0.00085730845],"about_ca_topic_score_codex":0.00006310957,"about_ca_topic_score_gemma":0.000019426976,"teacher_disagreement_score":0.7741459,"about_ca_system_score_codex":0.00058119756,"about_ca_system_score_gemma":0.00035891793,"threshold_uncertainty_score":0.99987465},"labels":[],"label_agreement":null},{"id":"W3088759699","doi":"10.1007/s13349-020-00438-9","title":"Cable tension monitoring through feature-based video image processing","year":2020,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scale-invariant feature transform; Feature (linguistics); Computer science; Detector; Computer vision; Feature extraction; Image processing; Engineering; Displacement (psychology); Artificial intelligence; Real-time computing; Image (mathematics); Telecommunications","score_opus":0.03506741077315791,"score_gpt":0.3258209127870616,"score_spread":0.2907535020139037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088759699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9587902,0.0152855115,0.010425625,0.0039077085,0.009408603,0.00064817286,0.000013421669,0.0013356,0.00018517359],"genre_scores_gemma":[0.9015886,0.00057535677,0.09106005,0.0001553584,0.0064672898,0.000009384725,0.0000019165202,0.00013689234,0.0000051433567],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9959923,0.00011775787,0.0013952238,0.0003760044,0.0010312082,0.0010875046],"domain_scores_gemma":[0.99742144,0.00015289927,0.00080579537,0.00030880515,0.0005251971,0.00078584754],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004321124,0.0005811375,0.0009974416,0.00021587942,0.0004975146,0.00019291538,0.0006191195,0.0002579029,0.000015373642],"category_scores_gemma":[0.00018507162,0.00051274075,0.00024439348,0.00073095417,0.00007215537,0.0013815201,0.00007877678,0.0017138899,0.0000044304757],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012786854,0.00005364438,0.11281803,0.018997844,0.00031819506,0.0007138657,0.013325522,0.08900212,0.10357346,0.000049887454,0.018321859,0.6415469],"study_design_scores_gemma":[0.00739413,0.003959541,0.36139712,0.016038805,0.00027480576,0.0013557217,0.002893464,0.09217732,0.48596007,0.0030321958,0.021309298,0.0042075394],"about_ca_topic_score_codex":0.00009297563,"about_ca_topic_score_gemma":0.0000029512705,"teacher_disagreement_score":0.63733935,"about_ca_system_score_codex":0.0010850184,"about_ca_system_score_gemma":0.00037325214,"threshold_uncertainty_score":0.99973243},"labels":[],"label_agreement":null},{"id":"W3096872115","doi":"10.1007/s13349-020-00446-9","title":"Early warning system for the detection of unexpected bridge displacements from radar satellite data","year":2020,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Interferometric synthetic aperture radar; Bridge (graph theory); Computer science; Synthetic aperture radar; Warning system; Satellite; Remote sensing; Visualization; Real-time computing; Geology; Artificial intelligence; Engineering; Telecommunications; Aerospace engineering","score_opus":0.040754750915161814,"score_gpt":0.29650109272554276,"score_spread":0.2557463418103809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096872115","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.461838,0.0092952335,0.5264319,0.00043854475,0.0012905566,0.00045677542,0.0000984758,0.0001328863,0.000017626375],"genre_scores_gemma":[0.96833974,0.0004532407,0.03008062,0.000009297364,0.0010763805,0.0000046314444,0.000006968595,0.000028407425,7.114202e-7],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.998734,0.000036522328,0.0006495718,0.00012917044,0.00026172228,0.00018899655],"domain_scores_gemma":[0.99885416,0.00025588126,0.0004109226,0.00027083332,0.00009315526,0.00011502128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023463304,0.00013550818,0.00030517014,0.00004434621,0.00015389774,0.000030912197,0.00040890416,0.000053365584,0.0000020921962],"category_scores_gemma":[0.00004479474,0.00009623971,0.00006924608,0.00015993339,0.000017877757,0.00018498601,0.00004595777,0.0002559445,3.413296e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118603326,0.000004581174,0.0029142688,0.0004859242,0.0002137609,0.0000015858309,0.0015940099,0.00009644972,0.02088747,0.00003237432,0.000072840805,0.97357816],"study_design_scores_gemma":[0.0030136458,0.001051011,0.4971079,0.0025925543,0.00046205384,0.00013168427,0.0035561011,0.10635717,0.23083884,0.0003152763,0.15369143,0.00088234554],"about_ca_topic_score_codex":0.00018963379,"about_ca_topic_score_gemma":0.000011634721,"teacher_disagreement_score":0.97269577,"about_ca_system_score_codex":0.00015996695,"about_ca_system_score_gemma":0.00003399869,"threshold_uncertainty_score":0.39245415},"labels":[],"label_agreement":null},{"id":"W3135821095","doi":"10.1007/s13349-021-00474-z","title":"Reducing carbon dioxide emissions through structural health monitoring of bridges","year":2021,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Greenhouse gas; Bridge (graph theory); Structural health monitoring; Carbon dioxide; Environmental science; Service life; Work (physics); Engineering; Global warming; Environmental engineering; Climate change; Structural engineering; Reliability engineering; Chemistry; Mechanical engineering; Geology","score_opus":0.03185465006471207,"score_gpt":0.3210803635048389,"score_spread":0.2892257134401268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135821095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971973,0.018301064,0.00014837476,0.00069105445,0.008527415,0.00014433861,0.0000143303805,0.000094366216,0.000106040476],"genre_scores_gemma":[0.9915845,0.002180516,0.004157092,0.000022857868,0.0019732253,0.0000019723511,0.0000024113035,0.000054349985,0.000023077342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99619555,0.00021317827,0.001817745,0.0002904888,0.0007472421,0.00073581503],"domain_scores_gemma":[0.9975502,0.00022217487,0.000808295,0.00043198888,0.00041834242,0.000569039],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056710426,0.00035936324,0.0010324735,0.00014633329,0.0002937412,0.000051665153,0.00031156995,0.00012947619,0.00003152718],"category_scores_gemma":[0.0002671984,0.00032489322,0.0002906631,0.00044996163,0.000057847552,0.0004199483,0.00010110213,0.0009789581,3.6745575e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022908204,0.00003153393,0.57206947,0.0051861573,0.00026336775,0.00015791526,0.017262854,0.0553806,0.20055805,0.0001115381,0.0003892171,0.14836021],"study_design_scores_gemma":[0.0017344018,0.00046469498,0.7125811,0.0049872347,0.00005510207,0.0010412434,0.0063858675,0.0038380632,0.2667555,0.000674434,0.0007061839,0.00077618693],"about_ca_topic_score_codex":0.0005057762,"about_ca_topic_score_gemma":0.000043461598,"teacher_disagreement_score":0.14758402,"about_ca_system_score_codex":0.0010184321,"about_ca_system_score_gemma":0.0006830759,"threshold_uncertainty_score":0.9999203},"labels":[],"label_agreement":null},{"id":"W3186633426","doi":"10.1007/s13349-021-00504-w","title":"Distributed monitoring of rail lateral buckling under axial loading","year":2021,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; York University; Queen's University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Curvature; Deflection (physics); Extrapolation; Structural engineering; Buckling; Boundary value problem; Computer science; Engineering; Geometry; Mathematics; Physics; Mathematical analysis; Optics","score_opus":0.022121794896407334,"score_gpt":0.29530109930041326,"score_spread":0.27317930440400595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186633426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98398864,0.0040988405,0.004066281,0.00013626995,0.0075034983,0.00007323964,0.000013970814,0.000075420154,0.000043809654],"genre_scores_gemma":[0.985226,0.0004890781,0.011838413,0.0000068061963,0.0023588715,9.893047e-7,0.0000033534025,0.000060770646,0.000015759853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99732655,0.00006697362,0.0012537402,0.00017852962,0.0005574826,0.00061671657],"domain_scores_gemma":[0.9983954,0.00019034398,0.0005116837,0.0002234637,0.0003619761,0.00031712305],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002746493,0.0002823054,0.00068715384,0.00017053762,0.0001537665,0.000051676278,0.0002223021,0.0001268928,0.000020798905],"category_scores_gemma":[0.00010527732,0.0002781347,0.00019654115,0.00040995434,0.000038297956,0.00047140967,0.00005409095,0.0007676068,0.0000013380807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012332774,0.000023942159,0.1488136,0.0010790175,0.0004131522,0.0002588267,0.0023395708,0.73044646,0.09404859,0.0001298115,0.00007133087,0.022252383],"study_design_scores_gemma":[0.0042904005,0.0004083775,0.5396944,0.0046545584,0.00014399155,0.0020096656,0.004995305,0.00831986,0.43072167,0.0027034266,0.00076990004,0.0012883923],"about_ca_topic_score_codex":0.000014876452,"about_ca_topic_score_gemma":0.000005054391,"teacher_disagreement_score":0.7221266,"about_ca_system_score_codex":0.0006809617,"about_ca_system_score_gemma":0.00015293785,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W4220953800","doi":"10.1007/s13349-022-00550-y","title":"Experimental investigation of subsurface defect detection in concretes by infrared thermography and convection heat exchange","year":2022,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Engineering and Physical Sciences Research Council; Science Foundation Ireland; Queen's University Belfast; National Science Foundation","keywords":"Thermography; Thermocouple; Thermal; Materials science; Convection; Infrared; Contrast (vision); Heat exchanger; Nondestructive testing; Structural engineering; Mechanics; Composite material; Optics; Meteorology; Mechanical engineering; Engineering","score_opus":0.009803206653382144,"score_gpt":0.24136633812090239,"score_spread":0.23156313146752025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220953800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843172,0.014495803,0.00016320383,0.000009947165,0.0007621102,0.00016328703,0.0000288229,0.000046909106,0.00001272576],"genre_scores_gemma":[0.9994575,0.00030151394,0.00012351782,0.000008070303,0.00007743544,0.00001282737,0.0000018162872,0.000016640934,7.289061e-7],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998989,0.00013253387,0.00042669848,0.00008057264,0.00021012858,0.00016109498],"domain_scores_gemma":[0.99958736,0.00006324082,0.00017923607,0.000059575606,0.000029927625,0.000080641126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036103543,0.00011642841,0.0002372456,0.00026348405,0.000115801704,0.000011919758,0.00006965696,0.00004356399,0.000014454093],"category_scores_gemma":[0.000005497803,0.00011780793,0.00007143672,0.000318305,0.000038532846,0.00018392285,0.00001827254,0.00033588195,7.387682e-9],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011660647,0.000004778543,0.05438177,0.00023701764,0.000042380074,0.0000021966266,0.0046159583,0.0015503771,0.9333869,0.0000031233774,0.000053800974,0.005605054],"study_design_scores_gemma":[0.00080540986,0.000970064,0.13698494,0.00015440263,0.00001384745,0.00009901704,0.0019023347,0.0014644694,0.8569537,0.00039346443,0.00007638454,0.00018200482],"about_ca_topic_score_codex":0.00020563955,"about_ca_topic_score_gemma":0.000011925148,"teacher_disagreement_score":0.08260318,"about_ca_system_score_codex":0.00018423994,"about_ca_system_score_gemma":0.000018352608,"threshold_uncertainty_score":0.48040682},"labels":[],"label_agreement":null},{"id":"W4281952790","doi":"10.1007/s13349-022-00583-3","title":"Field performance of wood blocking method for remediating a building in the Canadian Arctic","year":2022,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Quest University Canada; University of Alberta","funders":"National Research Council Canada","keywords":"Blocking (statistics); Arctic; Environmental science; Permafrost; Subsidence; Computer science; Geology; Oceanography","score_opus":0.05550938582212764,"score_gpt":0.3337057138098388,"score_spread":0.2781963279877112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281952790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575555,0.0011963517,0.000010434059,0.001451583,0.0013556327,0.00013301893,0.00005665637,0.0000015086031,0.000039282273],"genre_scores_gemma":[0.9967557,0.000071345035,0.0021753742,0.00027503195,0.0007094542,0.0000014411802,0.000007041064,0.0000029098132,0.0000016625025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865264,0.00014136948,0.00045514727,0.00007794147,0.00033771785,0.0003351937],"domain_scores_gemma":[0.9987006,0.0006415852,0.00041726689,0.000070943686,0.00006162854,0.000107940046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018852486,0.00007567181,0.0002028262,0.00018482993,0.00059449545,0.000029263918,0.0002668859,0.000023735598,0.00014566052],"category_scores_gemma":[0.0001067118,0.00005516109,0.000060722425,0.00024695316,0.000008602724,0.00013283515,0.000010449345,0.0004306192,8.712637e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005787628,0.0000012772315,0.95674133,0.00015098514,0.0000056933472,0.0000065044687,0.0036140026,0.00398969,0.000048154874,0.0000045170564,0.000028245491,0.03535173],"study_design_scores_gemma":[0.000492417,0.0012581162,0.97334284,0.0002662457,0.000012771819,0.00035111577,0.0034951163,0.019208467,0.0002278042,0.00034557123,0.00087095634,0.00012857262],"about_ca_topic_score_codex":0.1647247,"about_ca_topic_score_gemma":0.4601,"teacher_disagreement_score":0.2953753,"about_ca_system_score_codex":0.00009447666,"about_ca_system_score_gemma":0.00028914626,"threshold_uncertainty_score":0.8408375},"labels":[],"label_agreement":null},{"id":"W4308986522","doi":"10.1007/s13349-022-00649-2","title":"Robust capacitance sensors for wireless bridge scour monitoring","year":2022,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flume; Capacitance; Geotechnical engineering; Bridge scour; Capacitive sensing; Engineering; Environmental science; Flow (mathematics); Electrical engineering; Structural engineering","score_opus":0.0414288853899007,"score_gpt":0.2904946772876443,"score_spread":0.24906579189774358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308986522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994053,0.00085075176,0.0003714471,0.0007492403,0.0036624302,0.000203786,0.000014790351,0.000023218463,0.000071316455],"genre_scores_gemma":[0.9972216,0.00013934373,0.0014476528,0.00006589721,0.0010058907,0.000016349582,0.0000014466012,0.000024278339,0.00007756916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978006,0.00009323182,0.0006751686,0.00023623533,0.00064727577,0.00054749916],"domain_scores_gemma":[0.9988601,0.00010765123,0.0006200748,0.0001342273,0.000037387796,0.00024055288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081463094,0.00018698916,0.00036855263,0.000075982076,0.0010299524,0.000022603159,0.00039078417,0.000050655388,0.00029058557],"category_scores_gemma":[0.000022385013,0.00017493391,0.0001305929,0.00023886892,0.000079885,0.00043128696,0.000047789716,0.00060400227,0.0000023560756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035467572,0.000044577868,0.7944574,0.00018620804,0.00005505883,0.000060817198,0.002879444,0.18139549,0.0046860445,0.000022639802,0.000624408,0.01523325],"study_design_scores_gemma":[0.0024000092,0.0015952103,0.9704297,0.00023936587,0.0000670594,0.0007300971,0.0017626472,0.001522544,0.012318271,0.0011247798,0.0071535376,0.0006567679],"about_ca_topic_score_codex":0.0001558011,"about_ca_topic_score_gemma":0.000031390347,"teacher_disagreement_score":0.17987294,"about_ca_system_score_codex":0.00063098123,"about_ca_system_score_gemma":0.000087183864,"threshold_uncertainty_score":0.79216653},"labels":[],"label_agreement":null},{"id":"W4315709233","doi":"10.1007/s13349-023-00671-y","title":"Local defect detection using structural health monitoring with semi-non-contact and fully automated instrumentation","year":2023,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nondestructive testing; Structural health monitoring; Laser Doppler vibrometer; Acoustics; Delamination (geology); Materials science; Strain gauge; Instrumentation (computer programming); Structural engineering; Optics; Geology; Laser; Engineering; Computer science; Physics; Seismology","score_opus":0.02254116380226236,"score_gpt":0.32703728676037647,"score_spread":0.3044961229581141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315709233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98882926,0.0016032108,0.0014606846,0.00011557354,0.0058763116,0.00059447746,0.0000117184245,0.0015017469,0.0000070120673],"genre_scores_gemma":[0.9911031,0.0008222691,0.0061082332,0.000016994258,0.0017855215,0.000013613261,0.000005451557,0.00014217598,0.000002633586],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99560374,0.00019585046,0.0015911903,0.00040964558,0.00093247596,0.0012670691],"domain_scores_gemma":[0.9975147,0.00016932153,0.0010078689,0.00029957734,0.00027067636,0.00073785195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00082625117,0.0006214061,0.0009954203,0.0008627868,0.0008132208,0.00017834062,0.00030362082,0.00022971434,0.0000037298175],"category_scores_gemma":[0.00003961271,0.0005400494,0.00015954471,0.0011376535,0.000083920175,0.0011742781,0.00008269637,0.0011650089,0.0000015603664],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064478774,0.000009403515,0.25316316,0.004616774,0.0004758439,0.0001487234,0.005878948,0.10036054,0.016098334,0.000014188533,0.00012124255,0.61846805],"study_design_scores_gemma":[0.0015221194,0.0014048282,0.87158144,0.0022525648,0.000049710954,0.0014468645,0.0016382259,0.09962399,0.019611513,0.0002147802,0.00003630896,0.00061763736],"about_ca_topic_score_codex":0.0009303333,"about_ca_topic_score_gemma":0.000113721224,"teacher_disagreement_score":0.6184183,"about_ca_system_score_codex":0.0028396978,"about_ca_system_score_gemma":0.00038157665,"threshold_uncertainty_score":0.9997051},"labels":[],"label_agreement":null},{"id":"W4362724118","doi":"10.1007/s13349-023-00689-2","title":"Long-term deflection monitoring of a heritage, timber truss structure, and development of an integrated emergency alarm program","year":2023,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Serviceability (structure); Truss; Engineering; ALARM; Deflection (physics); Warning system; Forensic engineering; Structural health monitoring; Damages; Civil engineering; Structural engineering; Telecommunications","score_opus":0.03965555961486127,"score_gpt":0.36484412453836207,"score_spread":0.3251885649235008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362724118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917282,0.0017802091,0.00013721407,0.000013153348,0.005435635,0.00047741208,0.000012484389,0.00040816897,0.000007535657],"genre_scores_gemma":[0.9520901,0.0009958446,0.045881987,9.122695e-7,0.0009174444,0.000016137166,0.0000079645815,0.000083627056,0.0000060135703],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99616027,0.00011344387,0.0020486985,0.0002661647,0.00071511784,0.00069633476],"domain_scores_gemma":[0.9978505,0.000066279645,0.00093548885,0.00027612035,0.0004480656,0.0004235499],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054835447,0.0004247523,0.0008445536,0.0006578139,0.00022368382,0.000034235974,0.00035978432,0.00022250645,0.000016441387],"category_scores_gemma":[0.00005354994,0.00037737997,0.00010949699,0.00082369655,0.00006302311,0.0005918939,0.00007748872,0.00073761854,4.2256266e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000125463,0.000020858166,0.37601283,0.0026693773,0.0001486419,0.000017710954,0.0035287521,0.0016001441,0.0065059634,0.00000459261,0.000021971766,0.6093437],"study_design_scores_gemma":[0.00047584617,0.0005544442,0.9309065,0.0009785243,0.000022967417,0.00013449542,0.00047130344,0.00053092674,0.065382674,0.00019944782,0.00005185356,0.000291051],"about_ca_topic_score_codex":0.00008315619,"about_ca_topic_score_gemma":0.00006152883,"teacher_disagreement_score":0.6090526,"about_ca_system_score_codex":0.000517416,"about_ca_system_score_gemma":0.00023375552,"threshold_uncertainty_score":0.9998678},"labels":[],"label_agreement":null},{"id":"W4388108168","doi":"10.1007/s13349-023-00718-0","title":"Damage identification in concrete structures using a hybrid time–frequency decomposition of acoustic emission responses","year":2023,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Acoustic emission; Crest factor; Kurtosis; Weibull distribution; Hilbert–Huang transform; Computer science; Identification (biology); Structural engineering; Mixture model; Skewness; Gaussian; Acoustics; Engineering; Statistics; Artificial intelligence; Mathematics","score_opus":0.0322842306983045,"score_gpt":0.36666530534382213,"score_spread":0.33438107464551764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388108168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954505,0.0010063846,0.0002155083,0.000060526334,0.002704665,0.00029369496,0.000030436935,0.00022855564,0.00000974192],"genre_scores_gemma":[0.9941953,0.00043362463,0.0045708716,0.0000053264657,0.0007172573,0.0000041330322,0.0000084509065,0.0000583478,0.000006722048],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99665785,0.00022755096,0.00173497,0.00020534391,0.0006147332,0.00055958057],"domain_scores_gemma":[0.9980691,0.0003014345,0.00086079445,0.00027691186,0.000251048,0.0002406998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009914062,0.00028603282,0.0006380491,0.000993468,0.0001730681,0.000045607045,0.00035611796,0.00013061185,0.000012588682],"category_scores_gemma":[0.00020905866,0.00027149596,0.00011820665,0.0007753151,0.000057412683,0.00055629795,0.000052072548,0.0006180162,0.0000014963689],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023554437,0.0000026982689,0.030540727,0.0016251237,0.000045383666,0.000092524155,0.001127511,0.023045897,0.9259331,0.000019011393,0.00023921375,0.017093215],"study_design_scores_gemma":[0.0007466414,0.00029537553,0.7431617,0.0021837137,0.00003292997,0.00037245153,0.0002576572,0.03350101,0.21447168,0.004573859,0.000014140314,0.0003888306],"about_ca_topic_score_codex":0.00013311848,"about_ca_topic_score_gemma":0.000005212798,"teacher_disagreement_score":0.712621,"about_ca_system_score_codex":0.0009938489,"about_ca_system_score_gemma":0.00021577305,"threshold_uncertainty_score":0.9999737},"labels":[],"label_agreement":null},{"id":"W4388591791","doi":"10.1007/s13349-023-00727-z","title":"High-frequency dynamic distributed fiber optic strain sensing for civil infrastructure applications","year":2023,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Reflectometry; Optical time-domain reflectometer; Structural health monitoring; Strain gauge; Optical fiber; Fiber optic sensor; Distributed acoustic sensing; Optics; Materials science; Fiber Bragg grating; Interferometry; Time domain; Acoustics; Electronic engineering; Computer science; Polarization-maintaining optical fiber; Physics; Engineering; Composite material","score_opus":0.012239772874954048,"score_gpt":0.2913596431978151,"score_spread":0.27911987032286106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388591791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9419176,0.0011036732,0.050568547,0.00064209715,0.0039492925,0.00082921505,0.0004488399,0.0005028112,0.000037936552],"genre_scores_gemma":[0.92620647,0.00018628177,0.07215011,0.000011859441,0.0012333158,0.0000128745805,0.0000709285,0.000097705466,0.000030427573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99751276,0.000037825514,0.0010404235,0.0002266088,0.00041004433,0.000772322],"domain_scores_gemma":[0.99840677,0.00029489677,0.00045108024,0.00029035503,0.00021687655,0.00034004977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002954783,0.00033507813,0.00057300436,0.0003068535,0.00029987597,0.000064207874,0.00027602608,0.00015538547,0.000021354352],"category_scores_gemma":[0.00008646958,0.00032030733,0.00017156517,0.00071875844,0.000050818817,0.00034893415,0.000033951397,0.0006552848,0.000007871729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038006965,0.000005454818,0.0006351324,0.0009471769,0.00020397638,0.000044336586,0.0006865748,0.8640934,0.008049422,0.00037455693,0.000543335,0.124378614],"study_design_scores_gemma":[0.0111981165,0.0013700939,0.446338,0.0037444294,0.0005236788,0.0037132497,0.0050562513,0.35839304,0.005018354,0.146514,0.01350694,0.0046238573],"about_ca_topic_score_codex":0.000008609481,"about_ca_topic_score_gemma":0.000023801538,"teacher_disagreement_score":0.5057004,"about_ca_system_score_codex":0.0009123348,"about_ca_system_score_gemma":0.00013236195,"threshold_uncertainty_score":0.9999249},"labels":[],"label_agreement":null},{"id":"W4391897077","doi":"10.1007/s13349-024-00767-z","title":"Evaluation of vibration properties of an 18-story mass timber–concrete hybrid building by on-site vibration tests","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Structural engineering; Engineering; Acoustics; Physics","score_opus":0.03082891394971857,"score_gpt":0.30672516023694335,"score_spread":0.27589624628722476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391897077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98353606,0.005350366,0.008855874,0.000095785625,0.0018820189,0.00014245856,0.000015246562,0.00008088305,0.00004129936],"genre_scores_gemma":[0.9968965,0.00013153165,0.0023599113,0.000008111124,0.00054845004,0.0000036144274,0.0000093463495,0.000036640937,0.000005899498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763477,0.00017421483,0.00084059016,0.00014954462,0.0009928525,0.00020802108],"domain_scores_gemma":[0.9989225,0.0000659978,0.00032762988,0.00015402067,0.00039279592,0.00013700023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011517499,0.00020185478,0.0003869987,0.00039051645,0.00008506537,0.00006498472,0.00012756157,0.000067402616,0.000031710482],"category_scores_gemma":[0.00009266893,0.00017036467,0.00012569914,0.00030749632,0.00003048009,0.00088366686,0.000008647809,0.00036346604,8.718839e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020956551,0.0000013383554,0.00008291173,0.00041517522,0.00010900608,0.0000012267247,0.0004882355,0.5633001,0.40079293,0.000023735965,0.00010456469,0.03465987],"study_design_scores_gemma":[0.00029335258,0.00023035156,0.0026278512,0.00072234595,0.00009999924,0.000026993368,0.0001229877,0.67794657,0.31758603,0.00014461925,0.00004891367,0.00014994922],"about_ca_topic_score_codex":0.000029807947,"about_ca_topic_score_gemma":0.000004867409,"teacher_disagreement_score":0.114646524,"about_ca_system_score_codex":0.00048116976,"about_ca_system_score_gemma":0.00016857652,"threshold_uncertainty_score":0.694727},"labels":[],"label_agreement":null},{"id":"W4391915757","doi":"10.1007/s13349-024-00771-3","title":"Development and field evaluation of a low-cost bridge bearing movement monitoring system","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Bridge (graph theory); Bearing (navigation); Field (mathematics); Environmental science; Engineering; Civil engineering; Computer science; Geology; Structural engineering; Mathematics; Artificial intelligence","score_opus":0.040967556840227605,"score_gpt":0.3288191052442965,"score_spread":0.28785154840406885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391915757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98497933,0.008103472,0.0015520239,0.000034653724,0.004940542,0.00023508705,0.0000016795378,0.00007186295,0.00008137286],"genre_scores_gemma":[0.99136144,0.00020352691,0.007488121,0.0000029078317,0.0008975411,0.000007345285,4.0908725e-7,0.00003450556,0.00000423378],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978559,0.00003773495,0.00090285885,0.00014002886,0.00075093337,0.00031256172],"domain_scores_gemma":[0.9991947,0.0001197344,0.00020940622,0.00011534537,0.00018871168,0.00017212065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008674858,0.00018518322,0.00034562507,0.00022753263,0.00009190601,0.000054797714,0.00010828467,0.000065395994,0.0000030935942],"category_scores_gemma":[0.000042962456,0.00017068855,0.000058057456,0.00018262936,0.000011326262,0.0003176818,0.00003403578,0.00037867905,8.2109716e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040392213,0.0000069933935,0.017822415,0.006191887,0.0002879009,0.000044125798,0.0083097005,0.12633188,0.009057271,0.000110748304,0.000030315781,0.83176637],"study_design_scores_gemma":[0.0024371317,0.00032884916,0.44425726,0.028531786,0.00023059091,0.0005922132,0.006699658,0.15087776,0.3639536,0.0003380798,0.0007465517,0.0010065166],"about_ca_topic_score_codex":0.000020099642,"about_ca_topic_score_gemma":0.0000074105747,"teacher_disagreement_score":0.8307599,"about_ca_system_score_codex":0.0011664002,"about_ca_system_score_gemma":0.00015348592,"threshold_uncertainty_score":0.6960477},"labels":[],"label_agreement":null},{"id":"W4396936606","doi":"10.1007/s13349-024-00807-8","title":"Monitored seismic performance assessment of cable‑stayed bridges during the 2023 Kahramanmaraş earthquakes (M7.7 and M7.6)","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Bridge (graph theory); Seismology; Earthquake simulation; Structural engineering; Incremental Dynamic Analysis; Ground motion; Strong ground motion; Accelerometer; Peak ground acceleration; Engineering; Geology; Geotechnical engineering; Computer science","score_opus":0.014291747030901001,"score_gpt":0.30971367460808236,"score_spread":0.29542192757718133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396936606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791988,0.01280101,0.00023380108,0.0003502895,0.0067577055,0.00033907444,0.000019472516,0.0002480916,0.00005174912],"genre_scores_gemma":[0.9887483,0.00649614,0.0021625776,0.000009768217,0.0024458389,0.000013038821,0.0000012853595,0.00007747515,0.000045563243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674374,0.00012403782,0.0013666064,0.00026268617,0.00077910774,0.00072382606],"domain_scores_gemma":[0.99844897,0.00029925472,0.00041983376,0.00033404847,0.00019490196,0.00030298514],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008275901,0.00040591625,0.0006992334,0.0003773457,0.00038473858,0.00016474599,0.00042463024,0.00014898462,0.000010963983],"category_scores_gemma":[0.000033015356,0.00029492803,0.00015467721,0.0004490117,0.00011228316,0.00067848805,0.00009696727,0.0012383128,9.0410333e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017701068,0.000015799422,0.52009845,0.018390415,0.0005048647,0.00012375345,0.003920851,0.14843938,0.004836066,0.000076883036,0.0008870418,0.30252948],"study_design_scores_gemma":[0.0003291298,0.00030581633,0.94907236,0.0022046193,0.000033509492,0.00049584237,0.00036349718,0.039959773,0.0063249706,0.00012059087,0.00051721075,0.00027268584],"about_ca_topic_score_codex":0.00033302428,"about_ca_topic_score_gemma":0.000015630112,"teacher_disagreement_score":0.4289739,"about_ca_system_score_codex":0.00079599605,"about_ca_system_score_gemma":0.00026352552,"threshold_uncertainty_score":0.9999503},"labels":[],"label_agreement":null},{"id":"W4401918800","doi":"10.1007/s13349-024-00845-2","title":"Time-Transformer for acoustic leak detection in water distribution network","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Water Systems and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Leak; Leak detection; Transformer; Distribution transformer; Acoustics; Computer science; Environmental science; Engineering; Electrical engineering; Physics; Voltage","score_opus":0.00884267781244237,"score_gpt":0.25023637800989157,"score_spread":0.2413937001974492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401918800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72498333,0.0042446186,0.25542852,0.0001933832,0.014558254,0.00040766835,0.000012638841,0.00013110816,0.00004047677],"genre_scores_gemma":[0.9971596,0.000120588906,0.00014946483,0.0000025486474,0.0024898045,0.000006013747,0.000008722339,0.000024068086,0.000039175004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989403,0.000021180362,0.00051253545,0.00007419884,0.00013492402,0.00031690058],"domain_scores_gemma":[0.9997568,0.000030850024,0.000044585875,0.000042279997,0.000052589887,0.00007291012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000355109,0.00010908605,0.00020378233,0.0000847675,0.000077025645,0.000061668754,0.000051917395,0.00006771211,0.000005925483],"category_scores_gemma":[0.0000050493873,0.00007755483,0.00007102811,0.00012584806,0.0000064244086,0.00033959025,0.0000031585294,0.00021947987,0.0000022718361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002668494,0.0000012137556,0.0002239169,0.00065103936,0.000022972223,0.0000040605573,0.0004576156,0.9853133,0.0025262786,0.0000033457225,0.0004553231,0.010314238],"study_design_scores_gemma":[0.0009760651,0.00046773854,0.011561735,0.0023709072,0.000051348612,0.00026145187,0.00014186252,0.9543546,0.019093014,0.0007111959,0.009607831,0.00040226718],"about_ca_topic_score_codex":0.000016463031,"about_ca_topic_score_gemma":0.00053166633,"teacher_disagreement_score":0.27217627,"about_ca_system_score_codex":0.00043789728,"about_ca_system_score_gemma":0.000023057015,"threshold_uncertainty_score":0.31625944},"labels":[],"label_agreement":null},{"id":"W4402315882","doi":"10.1007/s13349-024-00846-1","title":"SCSHM benchmark study on bridge in-service structural monitoring","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"Politecnico di Milano","keywords":"Bridge (graph theory); Benchmark (surveying); Structural health monitoring; Structural engineering; Service (business); Engineering; Computer science; Civil engineering; Geology; Geodesy; Business; Medicine","score_opus":0.04273928569692836,"score_gpt":0.3624447923462776,"score_spread":0.3197055066493492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402315882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676179,0.0066491757,0.000023034538,0.00032693922,0.023930922,0.00068995403,0.000012685278,0.0006149998,0.0001343616],"genre_scores_gemma":[0.99174696,0.00046852703,0.0011584884,0.000028769193,0.0064059775,0.00002426844,0.0000018443053,0.00015519945,0.000009942167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99470663,0.00021345553,0.0020898615,0.0004984911,0.0012572786,0.0012342917],"domain_scores_gemma":[0.99789226,0.00040269757,0.00036433723,0.000512299,0.00024984777,0.0005785763],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010443635,0.00070399826,0.0010419256,0.0011555569,0.00028450496,0.0002831765,0.0008011097,0.0002274328,0.000021476144],"category_scores_gemma":[0.00007812572,0.00061444705,0.0002164485,0.0013951325,0.000038487782,0.0009971727,0.00011101129,0.002394414,0.000009585527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037118274,0.00005647807,0.5662782,0.0043956237,0.00039508185,0.0011976989,0.017236885,0.017983744,0.0019197254,0.00020217101,0.0007733004,0.38918993],"study_design_scores_gemma":[0.0007293208,0.0009162012,0.9885383,0.002694882,0.000028389732,0.0003421462,0.00091809616,0.0015832174,0.0022451275,0.0011342807,0.0003283548,0.00054167636],"about_ca_topic_score_codex":0.00044495074,"about_ca_topic_score_gemma":0.00009716457,"teacher_disagreement_score":0.4222601,"about_ca_system_score_codex":0.0024773702,"about_ca_system_score_gemma":0.00028058133,"threshold_uncertainty_score":0.9999071},"labels":[],"label_agreement":null},{"id":"W4403374326","doi":"10.1007/s13349-024-00869-8","title":"Field monitoring and prediction of the thermal response of an in-service curved continuous welded rail using distributed fiber optic strain measurements","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; York University; Queen's University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Optical fiber; Continuous monitoring; Welding; Field (mathematics); Structural engineering; Materials science; Fiber optic sensor; Engineering; Composite material; Telecommunications; Mathematics","score_opus":0.03926748159129994,"score_gpt":0.3033349544393255,"score_spread":0.26406747284802556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403374326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99555016,0.0017496127,0.00013772628,0.00007276944,0.0022513587,0.00017407097,0.000029987865,0.00002867508,0.000005653489],"genre_scores_gemma":[0.9968464,0.000037445112,0.0027157448,0.0000024095507,0.00036377696,0.0000011986745,7.373159e-7,0.000029989722,0.0000022941806],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99809813,0.0001841218,0.0008756902,0.00012657927,0.0004321342,0.00028334206],"domain_scores_gemma":[0.99900323,0.0002618565,0.00028973006,0.00017067029,0.00015844745,0.000116079704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077413913,0.00017612534,0.00037924314,0.00015495023,0.00006645262,0.000029049545,0.00017243171,0.000095738775,0.0000054583475],"category_scores_gemma":[0.00013133182,0.00013943607,0.00006907367,0.0003557544,0.000028627743,0.00040912646,0.000032759075,0.00049466756,7.013337e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012071142,0.000022816632,0.10371324,0.0016256388,0.00022164323,0.000038094848,0.0051959413,0.37753132,0.48669985,0.000004132483,0.000004027724,0.023736183],"study_design_scores_gemma":[0.0012542523,0.00043164365,0.8574704,0.0038709708,0.00006446362,0.00020006375,0.0012739198,0.036273144,0.098866984,0.0000708746,0.00001725828,0.00020601357],"about_ca_topic_score_codex":0.000069367314,"about_ca_topic_score_gemma":0.000011292768,"teacher_disagreement_score":0.7537572,"about_ca_system_score_codex":0.00032183534,"about_ca_system_score_gemma":0.00010344995,"threshold_uncertainty_score":0.5686038},"labels":[],"label_agreement":null},{"id":"W4404437442","doi":"10.1007/s13349-024-00882-x","title":"Quantifying the impact of subgrade stiffness on the railway dynamic load factor using instrumented wheelset and MRail measurements","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subgrade; Structural engineering; Stiffness; Load factor; Dynamic load testing; Structural dynamics; Engineering; Dynamic factor; Geotechnical engineering; Mathematics; Finite element method","score_opus":0.062383551413601766,"score_gpt":0.33711029527504816,"score_spread":0.2747267438614464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404437442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98729503,0.009330211,0.0005496532,0.00014867922,0.0024105597,0.0001581383,0.00003723173,0.000058987214,0.000011527621],"genre_scores_gemma":[0.99902487,0.0004896409,0.00017374892,0.0000046356768,0.00025219185,0.0000018400065,8.4396714e-7,0.00004894482,0.0000033079764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981444,0.00007882166,0.00066300697,0.00013088578,0.0005948318,0.00038804856],"domain_scores_gemma":[0.99911577,0.00023193084,0.00020861857,0.00019441383,0.0001024277,0.00014683897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058519916,0.00029233668,0.00045119727,0.00017174505,0.00018976214,0.00014008422,0.00024476927,0.00007106887,0.000009611931],"category_scores_gemma":[0.00005860677,0.00015172672,0.0002453157,0.00028423656,0.000048365735,0.00025094737,0.000028961871,0.0007109453,4.0073994e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010869121,0.000014808403,0.012766873,0.0014247531,0.0025153237,0.000017319308,0.0042282045,0.8982605,0.038503096,0.00005183859,0.00007362747,0.042035013],"study_design_scores_gemma":[0.0006489657,0.00033305405,0.27342647,0.0023299735,0.00022097686,0.00033381974,0.0005447451,0.7203266,0.0011599523,0.00018241495,0.00008149516,0.0004115163],"about_ca_topic_score_codex":0.00016494658,"about_ca_topic_score_gemma":0.000042117183,"teacher_disagreement_score":0.2606596,"about_ca_system_score_codex":0.00088294037,"about_ca_system_score_gemma":0.00018714141,"threshold_uncertainty_score":0.61872363},"labels":[],"label_agreement":null},{"id":"W4404921829","doi":"10.1007/s13349-024-00877-8","title":"Missing data imputation in tunnel monitoring with a spatio-temporal correlation fused machine learning model","year":2024,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Imputation (statistics); Missing data; Correlation; Data mining; Computer science; Artificial intelligence; Pattern recognition (psychology); Machine learning; Mathematics; Geometry","score_opus":0.03451430739830659,"score_gpt":0.2998424724261271,"score_spread":0.26532816502782053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404921829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85767156,0.011243162,0.12661074,0.00018444315,0.003912679,0.00013323588,0.000009579116,0.00021893773,0.000015675028],"genre_scores_gemma":[0.98435885,0.00045690694,0.013867708,0.0000029134135,0.0012057698,0.0000014099784,0.00002453986,0.00006803345,0.00001385768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980963,0.00006640908,0.0007921456,0.00021554387,0.00045095466,0.00037867695],"domain_scores_gemma":[0.99921775,0.00010398448,0.00024027581,0.00017330241,0.00009036142,0.00017434449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069668284,0.00023061904,0.00034671833,0.00038051154,0.00019414607,0.00014334203,0.00022436409,0.000097489785,0.0000026747875],"category_scores_gemma":[0.000052001935,0.0001932538,0.00004750453,0.00038343883,0.000007883238,0.0009539111,0.000046475918,0.0011178888,9.743995e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045898785,0.0000035306703,0.020144917,0.00039151,0.00002977031,0.00003809308,0.0017944077,0.9284901,0.00036734223,0.0000098172,0.000012014641,0.048672613],"study_design_scores_gemma":[0.00047762156,0.00010273163,0.0048708036,0.002082982,0.000021704323,0.00014827804,0.0002587717,0.9911308,0.00029051237,0.00036673824,0.00006258456,0.00018644845],"about_ca_topic_score_codex":0.00012458724,"about_ca_topic_score_gemma":0.0001250055,"teacher_disagreement_score":0.1266873,"about_ca_system_score_codex":0.0005079168,"about_ca_system_score_gemma":0.00021081863,"threshold_uncertainty_score":0.78806615},"labels":[],"label_agreement":null},{"id":"W4406095416","doi":"10.1007/s13349-024-00905-7","title":"Damage identification method of arch bridges using MobileViT and transfer learning","year":2025,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Arch; Identification (biology); Structural engineering; Engineering; Computer science; Biology","score_opus":0.030568400178126627,"score_gpt":0.3772613365309964,"score_spread":0.3466929363528698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406095416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97089565,0.0036432764,0.022787448,0.00007896088,0.0022418245,0.00022107591,0.0000037999744,0.00010028285,0.000027702808],"genre_scores_gemma":[0.9761533,0.0010886791,0.022239987,0.000006730312,0.0004633824,0.0000034016045,7.113405e-7,0.00003184714,0.000011969771],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997628,0.0001912362,0.0012637404,0.00017231845,0.0003598607,0.00038488396],"domain_scores_gemma":[0.99885315,0.00025550465,0.0003021998,0.00017743245,0.00024752755,0.00016419882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010136868,0.0002265931,0.0005958446,0.000491197,0.00020539909,0.000044343436,0.00023743477,0.000121359706,0.0000036745016],"category_scores_gemma":[0.000082999766,0.00021345055,0.00010103322,0.00037875306,0.000052935677,0.00036580174,0.00003896345,0.0007618926,8.105905e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013586027,0.00001061952,0.15284227,0.0059796274,0.00017836393,0.0000108981085,0.002920697,0.07456228,0.09662612,0.00040981083,0.000046679943,0.66627675],"study_design_scores_gemma":[0.0006775221,0.00024361962,0.83446467,0.002334442,0.000073475385,0.00018772311,0.0007540908,0.028356485,0.13102038,0.0012908072,0.00028733895,0.00030944904],"about_ca_topic_score_codex":0.00021471633,"about_ca_topic_score_gemma":0.000009871335,"teacher_disagreement_score":0.6816224,"about_ca_system_score_codex":0.00044547638,"about_ca_system_score_gemma":0.00013014706,"threshold_uncertainty_score":0.87042606},"labels":[],"label_agreement":null},{"id":"W4410069780","doi":"10.1007/s13349-025-00957-3","title":"Automated structural integrity assessment of bridges: a hybrid machine learning and feature-based framework","year":2025,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Research Foundation of Korea","keywords":"Structural integrity; Feature (linguistics); Computer science; Artificial intelligence; Engineering; Machine learning; Structural engineering","score_opus":0.009340066837307386,"score_gpt":0.32395839660565917,"score_spread":0.3146183297683518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410069780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978871,0.0051062987,0.0093868645,0.00028780676,0.00581548,0.00019596561,0.000018813942,0.00023147406,0.00008632247],"genre_scores_gemma":[0.975002,0.00035072965,0.023890672,0.00003203129,0.00066958525,0.0000027626786,0.0000044363424,0.00003575848,0.000012018223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771994,0.00012342118,0.000954697,0.00020320642,0.0004551743,0.00054357044],"domain_scores_gemma":[0.99849784,0.00024940734,0.00055693614,0.00017989465,0.00030446862,0.00021144173],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051725894,0.00036238664,0.00081463583,0.00040861347,0.00025901466,0.000083381965,0.00026283783,0.00015935577,0.000009325944],"category_scores_gemma":[0.00017683618,0.00029889346,0.0001616909,0.00034194387,0.000078561505,0.0002674221,0.00006274409,0.0021649906,1.03801376e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019926322,0.000013161373,0.84144634,0.003328813,0.00041478887,0.00006873117,0.00072112447,0.0878551,0.006055421,0.0006149988,0.00049074396,0.058791507],"study_design_scores_gemma":[0.0015424531,0.00040239966,0.7238358,0.0040808595,0.00008174509,0.00020111373,0.00041172217,0.25435188,0.012327539,0.0015402066,0.00077830965,0.00044595805],"about_ca_topic_score_codex":0.00009587115,"about_ca_topic_score_gemma":0.000016268516,"teacher_disagreement_score":0.16649678,"about_ca_system_score_codex":0.00061833125,"about_ca_system_score_gemma":0.00030052642,"threshold_uncertainty_score":0.9999463},"labels":[],"label_agreement":null},{"id":"W4411414920","doi":"10.1007/s13349-025-00967-1","title":"Multi-channel synchrosqueezed wavelet transform based identification of modal parameters of a vibrating structure","year":2025,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Modal; Wavelet; Wavelet transform; Modal testing; Identification (biology); Mathematics; Modal analysis; Computer science; Acoustics; Algorithm; Vibration; Structural engineering; Engineering; Physics; Artificial intelligence; Materials science","score_opus":0.019405853356537273,"score_gpt":0.312499969527724,"score_spread":0.29309411617118675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411414920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760893,0.0013808052,0.017611396,0.00017310887,0.004065236,0.00049107434,0.00005743943,0.00012130648,0.000010361509],"genre_scores_gemma":[0.9564088,0.00015538953,0.043089814,0.000014709256,0.00027254876,0.0000074289383,0.0000042413308,0.00004370613,0.0000033431588],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996034,0.000117054966,0.0025226846,0.00021651304,0.00058823236,0.00052147446],"domain_scores_gemma":[0.99753076,0.00024051763,0.0012453863,0.000335508,0.00044760294,0.00020021951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005891716,0.00035787822,0.000944884,0.0006677733,0.00015573362,0.00003281442,0.00047434075,0.00023174795,0.0000060482917],"category_scores_gemma":[0.00014094762,0.0003253241,0.00025143745,0.000635708,0.00009152276,0.0004097595,0.000028901048,0.0007429172,9.971592e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009681944,0.00008253316,0.023618452,0.024012858,0.0006822469,0.000021524229,0.0058090384,0.3066879,0.27013466,0.0001446477,0.00023354476,0.36760443],"study_design_scores_gemma":[0.0018706842,0.00037016766,0.1951015,0.0027175152,0.000071294045,0.00003836399,0.00037836362,0.10538699,0.69178456,0.0019121938,0.000012872112,0.0003555334],"about_ca_topic_score_codex":0.00015829445,"about_ca_topic_score_gemma":0.000030816467,"teacher_disagreement_score":0.42164987,"about_ca_system_score_codex":0.00064137473,"about_ca_system_score_gemma":0.00033060912,"threshold_uncertainty_score":0.9999199},"labels":[],"label_agreement":null},{"id":"W4412049670","doi":"10.1007/s13349-025-00986-y","title":"Robust structural modal identification using multivariate variational mode decomposition","year":2025,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Mitacs","keywords":"Multivariate statistics; Modal; Identification (biology); Mathematics; Decomposition; Mode (computer interface); Applied mathematics; Computer science; Mathematical optimization; Econometrics; Algorithm; Statistics; Materials science; Chemistry","score_opus":0.03890502351151319,"score_gpt":0.3856057573141932,"score_spread":0.34670073380268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412049670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94776,0.0013774107,0.036940522,0.00023456705,0.0129948575,0.00034571992,0.000023041383,0.00027438634,0.000049534287],"genre_scores_gemma":[0.9455865,0.00010814634,0.05243678,0.000025387499,0.001768628,0.0000070103715,0.000009052461,0.000046941022,0.000011565254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9966193,0.00015036791,0.0017185322,0.0002664257,0.0006227299,0.0006226386],"domain_scores_gemma":[0.99806577,0.00015657488,0.0007547572,0.00029063993,0.0004705848,0.0002617033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005087583,0.0003743634,0.0005953508,0.0006305635,0.0006054905,0.00014410395,0.00043892665,0.00020867607,0.000013153611],"category_scores_gemma":[0.00007377055,0.0003600338,0.00017397826,0.00054748415,0.00005235543,0.0009371947,0.0000638586,0.0008088597,9.253291e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021182513,0.000012605076,0.021639146,0.0011593128,0.00024508854,0.000014590368,0.0010242952,0.86950874,0.024580223,0.0015825122,0.000237778,0.079783894],"study_design_scores_gemma":[0.00087024336,0.000089318746,0.5628677,0.00086495606,0.00005590715,0.00019178282,0.00011978768,0.41319728,0.0099632405,0.011365789,0.00003918361,0.00037479305],"about_ca_topic_score_codex":0.0003584766,"about_ca_topic_score_gemma":0.000020048821,"teacher_disagreement_score":0.5412286,"about_ca_system_score_codex":0.0022037914,"about_ca_system_score_gemma":0.0003008002,"threshold_uncertainty_score":0.99988514},"labels":[],"label_agreement":null},{"id":"W4413762519","doi":"10.1007/s13349-025-01010-z","title":"Methodological approach to the in-situ monitoring system of cross-laminated timber basement walls","year":2025,"lang":"en","type":"article","venue":"Journal of Civil Structural Health Monitoring","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Cross laminated timber; Basement; In situ; Structural engineering; Geology; Engineering; Civil engineering; Geotechnical engineering; Forensic engineering; Computer science; Geography; Meteorology","score_opus":0.11186465813402549,"score_gpt":0.37199324002671874,"score_spread":0.2601285818926933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413762519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913592,0.0024194655,0.00032800777,0.000237961,0.0030820859,0.00022340257,0.000007476455,0.000015133883,0.0023272745],"genre_scores_gemma":[0.9936312,0.00005920341,0.0057049366,0.000027879358,0.00045800905,0.0000013478616,0.0000021460107,0.0000033931349,0.000111906855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718827,0.0007146307,0.0009710696,0.00019397373,0.0004996546,0.00043238344],"domain_scores_gemma":[0.9985674,0.0004481692,0.00043701765,0.0001689116,0.00020085664,0.00017761516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032982635,0.0001773982,0.0005289425,0.00014965273,0.0002564018,0.0000818004,0.00044043106,0.000084989224,0.000016104335],"category_scores_gemma":[0.00017514628,0.000099170575,0.00011919716,0.000554398,0.000045835768,0.00021089894,0.000032019543,0.0004860183,0.0000025933784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013746526,0.000009725989,0.94066507,0.0003341553,0.00003130423,0.000010023729,0.0007990288,0.02442102,0.00018297517,0.000027131538,0.000044080953,0.03333804],"study_design_scores_gemma":[0.0003084354,0.00015877192,0.9952143,0.0005927076,0.000008782892,0.000038108064,0.0018877569,0.0006097823,0.00090061745,0.00004250895,0.00014706323,0.00009120988],"about_ca_topic_score_codex":0.0010200886,"about_ca_topic_score_gemma":0.00032468766,"teacher_disagreement_score":0.054549202,"about_ca_system_score_codex":0.000110943,"about_ca_system_score_gemma":0.000116235045,"threshold_uncertainty_score":0.40440586},"labels":[],"label_agreement":null}]}