{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":40,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":40,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"0f6cdeb941c3","filters":{"venue":"Structural Safety"}},"results":[{"id":"W2070748799","doi":"10.1016/j.strusafe.2013.03.001","title":"Structural reliability analysis based on the concepts of entropy, fractional moment and dimensional reduction method","year":2013,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":295,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering; China Scholarship Council","keywords":"Principle of maximum entropy; Multiplicative function; Mathematics; Random variable; Applied mathematics; Monte Carlo method; Maximum entropy probability distribution; Entropy (arrow of time); Moment-generating function; Reliability (semiconductor); Mathematical optimization; Algorithm; Statistical physics; Mathematical analysis; Statistics","authors":[{"name":"Xufang Zhang","is_ca":true},{"name":"Mahesh D. Pandey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03319647537614264,"gpt":0.335505857993735,"spread":0.3023093826175924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001793,0.000513263,0.0008170693,0.001633883,0.0003637603,0.0006647424,0.0005775327,0.0003806482,0.0007818744],"category_scores_gemma":[0.002134409,0.0002293195,0.000934386,0.0006034045,0.001069326,0.001439289,0.0007358189,0.0008158903,0.0001096793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005709308,"about_ca_system_score_gemma":0.0006218674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007071735,"about_ca_topic_score_gemma":0.0005241892,"domain_scores_codex":[0.9994513,0.0001834199,0.00001846413,0.00004465612,0.0002693006,0.00003280988],"domain_scores_gemma":[0.9992872,0.0004224429,0.00007622079,0.00006641898,0.0001270723,0.00002066654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000511673,0.00003204189,0.0006842839,0.00009858712,0.00008229825,0.00005360922,0.00009479864,0.5315624,0.008022644,0.4107372,0.0006707211,0.04791031],"study_design_scores_gemma":[0.000002779306,0.00002135054,0.0003666464,0.000007368437,0.00001345956,0.00002677929,0.00000660999,0.9232389,0.0009371318,0.07476612,0.0005984448,0.00001440572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01139215,0.0004158927,0.9856234,0.00010746,0.00003299479,0.00001092417,0.00002036056,0.00005165569,0.002345243],"genre_scores_gemma":[0.8761767,0.001082129,0.1192768,0.00006988113,0.000221755,0.0001153876,0.00009030243,0.0000805056,0.002886545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001633883,"threshold_uncertainty_score":0.005298018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029562596","doi":"10.1016/s0167-4730(01)00012-1","title":"The estimation of extreme quantiles of wind velocity using L-moments in the peaks-over-threshold approach","year":2001,"lang":"en","type":"article","venue":"Structural Safety","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantile; Skewness; Extreme value theory; Generalized Pareto distribution; Monte Carlo method; Statistics; Mathematics; Moment (physics); Order statistic; Pareto distribution; Shape parameter; Method of moments (probability theory); Statistical physics; Physics","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"Pieter van Gelder","is_ca":false},{"name":"J.K. Vrijling","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0256880550471019,"gpt":0.2670116326162829,"spread":0.241323577569181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002449038,0.0004279132,0.0008473796,0.001091245,0.0003846581,0.000997722,0.001263437,0.0007891047,0.001076774],"category_scores_gemma":[0.01205284,0.0006092135,0.0006564457,0.0009966589,0.0007191025,0.00132943,0.001141545,0.001268909,0.0002505716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004260494,"about_ca_system_score_gemma":0.0008537117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736929,"about_ca_topic_score_gemma":0.002969577,"domain_scores_codex":[0.999326,0.0003416474,0.00003054895,0.00009731276,0.0000976845,0.0001069251],"domain_scores_gemma":[0.9932927,0.00535372,0.0005273685,0.000302266,0.0003087331,0.0002152847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005346872,0.0001329025,0.02066154,0.0001195874,0.0002006979,0.0002787908,0.000238899,0.7590845,0.006226955,0.04835127,0.001319155,0.1628511],"study_design_scores_gemma":[0.00000908021,0.00002091157,0.00257335,0.000007110444,0.00000947388,0.00002600956,0.00002311211,0.9850034,0.0007022228,0.01146969,0.0001404184,0.00001523131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06944734,0.0001502518,0.9296543,0.0001436178,0.00000921197,0.00001119884,0.00007370178,0.0001520528,0.0003583755],"genre_scores_gemma":[0.9006094,0.000232479,0.09771585,0.00004478512,0.00006292886,0.00003430502,0.0002696189,0.00007765528,0.0009530885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003736929,"threshold_uncertainty_score":0.01295191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2063851217","doi":"10.1016/j.strusafe.2005.10.001","title":"The derivation and calibration of the life-quality index (LQI) from economic principles","year":2005,"lang":"en","type":"article","venue":"Structural Safety","topic":"Global Health Care Issues","field":"Health Professions","cited_by":82,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Calibration; Index (typography); Quality (philosophy); Work (physics); Relation (database); Economics; Computer science; Econometrics; Harmony (color); Operations research; Economic model; Risk analysis (engineering); Engineering; Mathematics; Microeconomics; Business; Statistics","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"Jatin Nathwani","is_ca":true},{"name":"Niels C. Lind","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04692988741886333,"gpt":0.4061311250729178,"spread":0.3592012376540544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01097975,0.000892312,0.0009026719,0.004516946,0.0006993592,0.003285841,0.001564733,0.001522364,0.003211106],"category_scores_gemma":[0.04806158,0.0006212246,0.00121354,0.003399393,0.002417689,0.00314099,0.00301923,0.003735652,0.001001272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003048716,"about_ca_system_score_gemma":0.002571182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004233533,"about_ca_topic_score_gemma":0.002143326,"domain_scores_codex":[0.9941152,0.002904116,0.0003683753,0.0005190938,0.001799143,0.0002940433],"domain_scores_gemma":[0.9893441,0.007091152,0.0007533918,0.0008659478,0.001812971,0.000132429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004122459,0.0001306648,0.01496084,0.000266431,0.00009722417,0.0001269429,0.0003725372,0.06245763,0.0005897785,0.7916991,0.0064206,0.1228371],"study_design_scores_gemma":[0.00002965054,0.0001350817,0.02400508,0.0003197961,0.00005803401,0.0002498684,0.0003190746,0.2327045,0.001174452,0.7194663,0.02143882,0.00009936779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03206391,0.001613246,0.9323642,0.003112277,0.0003342129,0.0003427916,0.0009595621,0.0001549185,0.02905483],"genre_scores_gemma":[0.6683241,0.002198528,0.3212737,0.0006170347,0.0004670931,0.0009011491,0.001229079,0.0002286471,0.00476056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097975,"threshold_uncertainty_score":0.05806714,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1823309814","doi":"10.1016/j.strusafe.2015.05.004","title":"Multi-variate seismic demand modelling using copulas: Application to non-ductile reinforced concrete frame in Victoria, Canada","year":2015,"lang":"en","type":"article","venue":"Structural Safety","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"UC Berkeley College of Chemistry; Engineering and Physical Sciences Research Council; Strong","keywords":"Residual; Structural engineering; Demolition; Incremental Dynamic Analysis; Seismic analysis; Probabilistic logic; Seismic loading; Random variate; Geotechnical engineering; Geology; Computer science; Environmental science; Random variable; Engineering; Civil engineering; Mathematics; Statistics; Algorithm","authors":[{"name":"Katsuichiro Goda","is_ca":false},{"name":"Solomon Tesfamariam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0117108850368723,"gpt":0.2249234647721816,"spread":0.2132125797353094,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009816997,0.0008607247,0.000588957,0.0006148228,0.0006811685,0.0009899376,0.001750164,0.0008616355,0.001295818],"category_scores_gemma":[0.00150697,0.0005171408,0.0006537012,0.00103361,0.000553401,0.0003950856,0.0005476405,0.0007874517,0.0001385697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008314095,"about_ca_system_score_gemma":0.00514154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8853582,"about_ca_topic_score_gemma":0.8506059,"domain_scores_codex":[0.9997056,0.00008150748,0.00001198316,0.00005533063,0.00004910098,0.00009635643],"domain_scores_gemma":[0.9991758,0.0004208408,0.00008654602,0.00004209807,0.0002019393,0.0000727087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004868171,0.00005744713,0.008052921,0.00002320501,0.00002808626,0.0001954784,0.00009842899,0.9854999,0.0006204069,0.001065477,0.0002494855,0.004060467],"study_design_scores_gemma":[0.000003089327,0.000009734623,0.002692983,0.00000197225,0.000005232459,0.000005387856,0.00007540746,0.9968674,0.0001425643,0.00009749307,0.00009147698,0.000007293288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820107,0.00008656902,0.01495094,0.0001167162,0.000007406855,0.00004515984,0.0003931625,0.00006552651,0.002323849],"genre_scores_gemma":[0.9957682,0.00006371638,0.0024318,0.000007737256,0.000002158548,0.00001247145,0.0002054242,0.00001484983,0.0014937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146418,"threshold_uncertainty_score":0.2306339,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983263007","doi":"10.1016/j.strusafe.2005.10.002","title":"Analysis of approximations for multinormal integration in system reliability computation","year":2005,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Reliability (semiconductor); Computation; Bivariate analysis; Simple (philosophy); Context (archaeology); Computer science; Conditional probability; Reliability engineering; Numerical integration; Algorithm; Mathematics; Applied mathematics; Statistics; Engineering; Machine learning","authors":[{"name":"Xian‐Xun Yuan","is_ca":true},{"name":"Mahesh D. Pandey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04459091172091458,"gpt":0.3426442450358452,"spread":0.2980533333149306,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007731828,0.0007604575,0.001441641,0.001118252,0.0007259051,0.001590998,0.002341446,0.00104623,0.002663786],"category_scores_gemma":[0.0398474,0.0009332596,0.0009352486,0.001184515,0.001417377,0.002644836,0.002042359,0.002670584,0.0003495025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002207881,"about_ca_system_score_gemma":0.001582792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040817,"about_ca_topic_score_gemma":0.008691033,"domain_scores_codex":[0.9975969,0.001142455,0.0001171519,0.0002050075,0.000720612,0.0002178964],"domain_scores_gemma":[0.9797365,0.01647577,0.0007469455,0.001168433,0.00152537,0.0003470939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001060006,0.0000309426,0.0009716916,0.00005554693,0.00003701197,0.00004029991,0.0001057955,0.9218992,0.0004663757,0.0599536,0.0005100789,0.01582342],"study_design_scores_gemma":[0.000001627487,0.000003777047,0.00003301175,0.000004192004,0.000002668338,0.000003622063,0.00000339544,0.9925155,0.00006901966,0.007267862,0.00009380775,0.000001501608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02329326,0.0003334313,0.9746337,0.0001454642,0.00003794914,0.00001606644,0.00002844727,0.0001880688,0.00132359],"genre_scores_gemma":[0.6554996,0.0004995081,0.3402862,0.0001636228,0.00008739204,0.0001260348,0.0001920691,0.0003572098,0.002788499],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01040817,"threshold_uncertainty_score":0.04089028,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394936111","doi":"10.1016/j.strusafe.2024.102474","title":"Development of methods of structural reliability","year":2024,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Structural reliability; Reliability (semiconductor); Reliability engineering; Computer science; Engineering; Structural engineering; Forensic engineering; Probabilistic logic","authors":[{"name":"Bruce R. Ellingwood","is_ca":false},{"name":"Marc A. Maes","is_ca":true},{"name":"F. Michael Bartlett","is_ca":true},{"name":"André T. Beck","is_ca":false},{"name":"Colin C. Caprani","is_ca":false},{"name":"Armen Der Kiureghian","is_ca":false},{"name":"Leonardo Dueñas‐Osorio","is_ca":false},{"name":"Neryvaldo Galvão","is_ca":false},{"name":"Robert B. Gilbert","is_ca":false},{"name":"Jie Li","is_ca":false},{"name":"José C. Matos","is_ca":false},{"name":"Yasuhiro Mori","is_ca":false},{"name":"Iason Papaioannou","is_ca":false},{"name":"Roger Parades","is_ca":false},{"name":"Dániel Straub","is_ca":false},{"name":"Bruno Sudret","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09115977976002816,"gpt":0.4293559330152605,"spread":0.3381961532552324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005220779,0.001436289,0.001270832,0.003001459,0.0007140406,0.001434901,0.002857643,0.001382184,0.003924749],"category_scores_gemma":[0.01742703,0.001207152,0.00231326,0.001145745,0.002033604,0.002304961,0.002244507,0.004295377,0.002193353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448583,"about_ca_system_score_gemma":0.002293834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222083,"about_ca_topic_score_gemma":0.001840395,"domain_scores_codex":[0.9969941,0.001373225,0.000153124,0.0003768755,0.001026951,0.0000756454],"domain_scores_gemma":[0.991456,0.005034377,0.0002472641,0.0009873603,0.002155193,0.0001198376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002088049,0.00004697976,0.0004811622,0.0003963999,0.00009934496,0.00004736927,0.000241639,0.0856114,0.00321411,0.7289636,0.003306801,0.1775703],"study_design_scores_gemma":[0.00002734045,0.00007177993,0.0003421413,0.0001874236,0.00003850319,0.0001171589,0.00003949815,0.4914434,0.003719757,0.4573187,0.04664943,0.00004478596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001608856,0.0001786182,0.9986548,0.00003313388,0.00003377224,0.00001707005,0.00001424864,0.00003824605,0.0008691232],"genre_scores_gemma":[0.01903632,0.0007582018,0.9764925,0.00006244892,0.0001392499,0.0002493555,0.0000853998,0.0001288384,0.003047618],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005220779,"threshold_uncertainty_score":0.02761048,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017020721","doi":"10.1016/j.strusafe.2009.10.001","title":"Feasibility of FORM in finite element reliability analysis","year":2009,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Finite element method; Context (archaeology); Computer science; Reliability engineering; Conjunction (astronomy); Limit (mathematics); Limit state design; Random variable; Mathematical optimization; Engineering; Structural engineering; Mathematics","authors":[{"name":"Smitha Koduru","is_ca":true},{"name":"Terje Haukaas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05608476293824564,"gpt":0.3530236284965948,"spread":0.2969388655583491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008408845,0.00122154,0.001850826,0.002178913,0.001578019,0.003453702,0.002199532,0.002325208,0.0112879],"category_scores_gemma":[0.06074676,0.001668221,0.001729437,0.001697803,0.006160502,0.01040464,0.004877509,0.003633445,0.002047741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006012273,"about_ca_system_score_gemma":0.001183441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008619492,"about_ca_topic_score_gemma":0.000571341,"domain_scores_codex":[0.9955652,0.002325109,0.0002111687,0.0005545082,0.001110847,0.0002331241],"domain_scores_gemma":[0.9757994,0.01820344,0.001075401,0.002306211,0.002270244,0.0003453752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001645651,0.00006422392,0.0006731636,0.0002084603,0.00002210267,0.00007056443,0.000246677,0.04486787,0.0008865703,0.912733,0.001464238,0.03859854],"study_design_scores_gemma":[0.00002534775,0.00007892793,0.0001329658,0.00006036801,0.00001470274,0.00006343151,0.00006495172,0.1046621,0.000567155,0.8920351,0.002281599,0.00001334529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0164942,0.000277433,0.9690028,0.0007695594,0.00008834658,0.0001123913,0.0001189278,0.0001067464,0.01302956],"genre_scores_gemma":[0.5545304,0.001117908,0.4230319,0.0005269371,0.0003610599,0.0008045187,0.0006362553,0.0004850078,0.01850598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112879,"threshold_uncertainty_score":0.04447073,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000166164","doi":"10.1016/j.strusafe.2007.09.007","title":"Application of cumulative prospect theory: Implied seismic design preference","year":2007,"lang":"en","type":"article","venue":"Structural Safety","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cumulative prospect theory; Weighting; Prospect theory; Preference; Bounded rationality; Rationality; Expected utility hypothesis; Seismic analysis; Econometrics; Seismic risk; Sensitivity (control systems); Computer science; Economics; Engineering; Mathematical economics; Microeconomics; Structural engineering","authors":[{"name":"Katsuichiro Goda","is_ca":true},{"name":"Han Hong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1310299700131957,"gpt":0.399559374547294,"spread":0.2685294045340982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006073758,0.001201377,0.001534821,0.001386929,0.0005936963,0.002739477,0.001696239,0.002567399,0.0104501],"category_scores_gemma":[0.04650964,0.00060812,0.000951106,0.001877266,0.002140044,0.004833592,0.001590784,0.002937023,0.0003213578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509834,"about_ca_system_score_gemma":0.001295138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612157,"about_ca_topic_score_gemma":0.002007,"domain_scores_codex":[0.9972208,0.001981165,0.00007978144,0.0002537319,0.0003440458,0.0001205413],"domain_scores_gemma":[0.958894,0.0369691,0.001377399,0.00135947,0.0009544074,0.0004456039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001806548,0.0001816369,0.002072004,0.000178002,0.0001020511,0.0001527772,0.0002631283,0.1326739,0.0003528391,0.8396337,0.001275355,0.02293399],"study_design_scores_gemma":[0.00003931376,0.00005564565,0.0005870991,0.00002266291,0.00003995046,0.00004454038,0.00006927274,0.2753748,0.0001117409,0.7231654,0.0004666784,0.00002290963],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1973402,0.0007883622,0.772644,0.003795045,0.0001341472,0.0000966743,0.0002652374,0.00008889379,0.02484737],"genre_scores_gemma":[0.955255,0.0007873948,0.03955262,0.0001709972,0.0001596443,0.00009928352,0.0001203061,0.00001830812,0.003836435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0104501,"threshold_uncertainty_score":0.03495908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2604887284","doi":"10.1016/j.strusafe.2017.03.002","title":"Stochastic renewal process models for estimation of damage cost over the life-cycle of a structure","year":2017,"lang":"en","type":"article","venue":"Structural Safety","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Renewal theory; Discounting; Poisson process; Time horizon; Process (computing); Variance (accounting); Mathematical optimization; Cost estimate; Computer science; Mathematics; Poisson distribution; Engineering; Statistics; Economics","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"J.A.M. van der Weide","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009006937768123838,"gpt":0.2630980175316291,"spread":0.2540910797635053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00346054,0.001324188,0.001521424,0.001616571,0.0004122138,0.001378049,0.002802795,0.002159093,0.002949323],"category_scores_gemma":[0.01130567,0.0008976271,0.001383635,0.002252806,0.001189757,0.002421323,0.0009413012,0.002094714,0.0003971856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002203051,"about_ca_system_score_gemma":0.001289203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007841,"about_ca_topic_score_gemma":0.007879171,"domain_scores_codex":[0.9987482,0.0004521336,0.00007532283,0.0002248969,0.0003166643,0.0001827334],"domain_scores_gemma":[0.9948574,0.003761001,0.0006205957,0.0001850287,0.0004732941,0.000102613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002361114,0.00001686475,0.0006795627,0.00004197528,0.00002768674,0.00004797168,0.000026425,0.9511973,0.0003505426,0.04172626,0.0003117071,0.005549996],"study_design_scores_gemma":[0.000001759087,0.000007218794,0.0001251532,0.000005058705,0.000008706731,0.00001175656,0.000003657874,0.9908778,0.0000766863,0.008694015,0.0001825056,0.000005709839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01841201,0.00106963,0.9783025,0.0002745004,0.00004519085,0.00004113226,0.0001712239,0.0001214225,0.001562549],"genre_scores_gemma":[0.9067361,0.003036031,0.08040181,0.000154484,0.0001591278,0.0003269148,0.0007578981,0.0001238553,0.008303744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007841,"threshold_uncertainty_score":0.0200395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3047845632","doi":"10.1016/j.strusafe.2020.102003","title":"Revisiting hurricane track model for wind risk assessment","year":2020,"lang":"en","type":"article","venue":"Structural Safety","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi","funders":"Directorate for Engineering","keywords":"Wind speed; Meteorology; Storm; Track (disk drive); Environmental science; Wind direction; Marine engineering; Computer science; Engineering; Geography","authors":[{"name":"Reda Snaiki","is_ca":true},{"name":"Teng Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0316368460183125,"gpt":0.2883146647546143,"spread":0.2566778187363017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003005886,0.0004789657,0.0006662793,0.0003345375,0.0006006222,0.0009262551,0.001233378,0.00111008,0.005430424],"category_scores_gemma":[0.001220237,0.000408508,0.00061407,0.000399836,0.0001701066,0.0008519348,0.0004672124,0.0009135319,0.0008536746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007031608,"about_ca_system_score_gemma":0.001601715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1046683,"about_ca_topic_score_gemma":0.05961731,"domain_scores_codex":[0.999873,0.00003682647,0.000007982282,0.00002559885,0.00003455995,0.0000219769],"domain_scores_gemma":[0.9996781,0.0001158736,0.00002627848,0.00002876355,0.0001279164,0.00002298233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001152886,0.00001503523,0.001040516,0.00000980805,0.0000153348,0.00003159993,0.00001023369,0.992975,0.0002120806,0.001052762,0.0009174622,0.003708661],"study_design_scores_gemma":[0.000004681522,0.000003869483,0.000161113,0.00000190919,0.00000339611,0.000003099829,0.000003449305,0.9992236,0.00003572524,0.0002951616,0.0002620999,0.00000187289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5563434,0.0008879045,0.3655342,0.001765365,0.0005141915,0.0002377771,0.006887106,0.003222946,0.06460722],"genre_scores_gemma":[0.956779,0.0002476125,0.02814346,0.0001647217,0.00008694414,0.00009102975,0.001757987,0.0002915603,0.01243766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1046683,"threshold_uncertainty_score":0.208118,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126082874","doi":"10.1016/j.strusafe.2020.102073","title":"Subset simulation based approach for space-time-dependent system reliability analysis of corroding pipelines","year":2021,"lang":"en","type":"article","venue":"Structural Safety","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Pipeline transport; Reliability engineering; Computer science; Engineering; Physics; Mechanical engineering","authors":[{"name":"Souvik Chakraborty","is_ca":false},{"name":"Solomon Tesfamariam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01221031862799079,"gpt":0.2438351398943618,"spread":0.231624821266371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002491216,0.0005049972,0.000904044,0.0005711543,0.000407461,0.0005121054,0.0007735659,0.0004746226,0.002885225],"category_scores_gemma":[0.0006814672,0.0004147405,0.0008726614,0.0003453726,0.0003415181,0.0004942771,0.000473701,0.0004459866,0.0003188505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003535112,"about_ca_system_score_gemma":0.0005948466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004053899,"about_ca_topic_score_gemma":0.003698638,"domain_scores_codex":[0.9998676,0.0000448102,0.000006790459,0.00001904994,0.00004306093,0.00001876131],"domain_scores_gemma":[0.9996678,0.0001544781,0.00003393095,0.00005028063,0.00007891386,0.00001467134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002774748,0.00002180997,0.0004553882,0.00002410313,0.00002467769,0.00005514978,0.00002609388,0.9891874,0.00230883,0.002697615,0.0001354384,0.005035722],"study_design_scores_gemma":[9.231754e-7,0.00000937055,0.00005802434,0.000001176024,0.000003591384,0.000005817829,0.000003434471,0.9990871,0.0002521361,0.0004924896,0.00008506719,8.551765e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09268805,0.0001441959,0.9006182,0.00005895311,0.00002786219,0.00005510316,0.0001515987,0.0005759288,0.005680155],"genre_scores_gemma":[0.9233031,0.0001870351,0.0721721,0.00004112164,0.00001951666,0.0001351849,0.0003126627,0.0001436453,0.003685787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004053899,"threshold_uncertainty_score":0.009652019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989192348","doi":"10.1016/j.strusafe.2005.08.001","title":"Optimal seismic design for limited planning time horizon with detailed seismic hazard information","year":2005,"lang":"en","type":"article","venue":"Structural Safety","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Incremental Dynamic Analysis; Seismic hazard; Seismic analysis; Earthquake scenario; Time horizon; Poisson distribution; Seismic risk; Seismic to simulation; Structural engineering; Optimal design; Horizon; Hazard; Geology; Seismology; Computer science; Engineering; Mathematical optimization; Statistics; Mathematics; Seismic inversion","authors":[{"name":"Katsuichiro Goda","is_ca":true},{"name":"H. P. Hong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007928694739724946,"gpt":0.2082946253909783,"spread":0.2003659306512533,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001657738,0.001560336,0.002148338,0.00127429,0.0004252035,0.001086631,0.001112686,0.001533421,0.004464097],"category_scores_gemma":[0.003836174,0.002124764,0.0008654221,0.0007822937,0.00109443,0.001544219,0.001083643,0.0009333543,0.0004109463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433175,"about_ca_system_score_gemma":0.002615176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007426735,"about_ca_topic_score_gemma":0.007089876,"domain_scores_codex":[0.9993922,0.0002269071,0.00002542981,0.000107886,0.0001208278,0.0001269101],"domain_scores_gemma":[0.9979956,0.001463542,0.0002317209,0.00006593925,0.0001346641,0.0001084761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006135514,0.0000143482,0.00005993693,0.00002658205,0.00001175488,0.00001424756,0.00001360736,0.9952706,0.0003018854,0.001212652,0.000135168,0.002877813],"study_design_scores_gemma":[0.00002033431,0.00004857841,0.00007242527,0.000004827156,0.00001074691,0.00000469405,0.000008677668,0.997317,0.0001679191,0.002217616,0.0001230725,0.000004069531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07905341,0.000509579,0.9109731,0.0003487184,0.00004604424,0.0001073953,0.0003067908,0.0003381277,0.008316942],"genre_scores_gemma":[0.9048601,0.0003076936,0.08947412,0.00009598439,0.00004619026,0.0002581234,0.0002512942,0.0001173357,0.004589166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007426735,"threshold_uncertainty_score":0.01493388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4212766037","doi":"10.1016/j.strusafe.2022.102202","title":"System-reliability-based disaster resilience analysis: Framework and applications to structural systems","year":2022,"lang":"en","type":"article","venue":"Structural Safety","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Redundancy (engineering); Interdependence; Reliability engineering; Resilience (materials science); Computer science; Reliability (semiconductor); Natural hazard; Risk analysis (engineering); Disaster recovery; Engineering; Geography","authors":[{"name":"Seonghyun Lim","is_ca":false},{"name":"Taeyong Kim","is_ca":true},{"name":"Junho Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003898201590232088,"gpt":0.2315375739325606,"spread":0.2276393723423286,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857196,0.001345482,0.0008842343,0.003032045,0.0005519252,0.001169258,0.0013328,0.001052484,0.002848827],"category_scores_gemma":[0.003344372,0.0004503682,0.001127326,0.002244459,0.00200508,0.001811671,0.001587762,0.001719481,0.0004482839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689991,"about_ca_system_score_gemma":0.001455702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007974712,"about_ca_topic_score_gemma":0.005278088,"domain_scores_codex":[0.9994045,0.0002948836,0.00002795194,0.00006815176,0.0001616472,0.0000427293],"domain_scores_gemma":[0.9987335,0.0007850238,0.0001584801,0.00006390686,0.0002111759,0.00004787608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008864316,0.0000326766,0.000855311,0.0001736995,0.00005805475,0.0001147542,0.0001757437,0.6206647,0.000861504,0.3510449,0.001163713,0.02484611],"study_design_scores_gemma":[0.000003843663,0.00002699231,0.0003453882,0.00006764543,0.00001535308,0.00005689004,0.00009835859,0.8413973,0.0002259034,0.1535016,0.00424254,0.00001826301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003615138,0.002040213,0.9887584,0.0005526191,0.00003289921,0.0000525589,0.00006324842,0.0001568817,0.004727931],"genre_scores_gemma":[0.5411617,0.008508623,0.4445782,0.0002277813,0.0003992752,0.0005067815,0.0002036228,0.0001405543,0.004273497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007974712,"threshold_uncertainty_score":0.01585656,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001071260","doi":"10.1016/j.strusafe.2013.12.001","title":"Estimating extreme wind speed based on regional frequency analysis","year":2014,"lang":"en","type":"article","venue":"Structural Safety","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Quantile; Gumbel distribution; Wind speed; Extreme value theory; Environmental science; Return period; Generalized extreme value distribution; Meteorology; Frequency analysis; Statistics; Cluster analysis; Climatology; Mathematics; Geography; Geology","authors":[{"name":"Han Hong","is_ca":true},{"name":"W. Ye","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01549843468597884,"gpt":0.2303083834346899,"spread":0.214809948748711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003787692,0.0004474481,0.0003997023,0.001734994,0.0002233655,0.0003464995,0.0002968006,0.0004328483,0.0005722754],"category_scores_gemma":[0.00173099,0.0002791255,0.0004480172,0.0007850493,0.0001569494,0.000647203,0.0002583111,0.0002750952,0.000219104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001370254,"about_ca_system_score_gemma":0.0001502755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240273,"about_ca_topic_score_gemma":0.007341635,"domain_scores_codex":[0.999831,0.00004410566,0.00001011647,0.00004411508,0.00004437788,0.00002631942],"domain_scores_gemma":[0.9992484,0.0003967314,0.0001215811,0.00006635234,0.0001343761,0.00003247691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003660926,0.0001338177,0.2050747,0.00007526207,0.0002694853,0.0003573547,0.0001367971,0.6222926,0.0323392,0.00101653,0.0005285139,0.1374097],"study_design_scores_gemma":[0.00001114992,0.0001203698,0.1165097,0.000009318484,0.00008096832,0.0001306577,0.00009878981,0.8790304,0.002921003,0.0008115505,0.0002543238,0.00002182169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8382195,0.0001171301,0.1594774,0.00001974781,0.00001162953,0.00001543738,0.0002100425,0.000211503,0.001717733],"genre_scores_gemma":[0.9832559,0.00004144924,0.01636374,0.000002627833,0.000008669834,0.000005184722,0.0001485771,0.00001275243,0.0001611725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004240273,"threshold_uncertainty_score":0.008431196,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986576426","doi":"10.1016/s0167-4730(99)00041-7","title":"Direct estimation of quantile functions using the maximum entropy principle","year":2000,"lang":"en","type":"article","venue":"Structural Safety","topic":"Statistical Mechanics and Entropy","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Technische Universiteit Delft","keywords":"Quantile; Quantile function; Principle of maximum entropy; Mathematics; Probability density function; Order statistic; Moment (physics); Cumulative distribution function; Random variable; Statistics; Probability distribution; Central moment; Monte Carlo method; Entropy (arrow of time); Moment-generating function; Applied mathematics; Mathematical optimization","authors":[{"name":"Mahesh D. Pandey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01224159303875708,"gpt":0.2752548750212141,"spread":0.263013281982457,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003487457,0.0007061673,0.001327615,0.001432254,0.0005358722,0.001381245,0.001541644,0.001032825,0.003760491],"category_scores_gemma":[0.02432483,0.0008499819,0.000704313,0.0009449099,0.001327539,0.002606099,0.002556785,0.001865594,0.0006807175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007090603,"about_ca_system_score_gemma":0.001257746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001466361,"about_ca_topic_score_gemma":0.001457349,"domain_scores_codex":[0.9985344,0.0007289395,0.00005239372,0.0002511431,0.00031028,0.0001227361],"domain_scores_gemma":[0.988557,0.009293955,0.0005708131,0.0008421015,0.0005150538,0.0002209884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002306246,0.0001196564,0.008022037,0.0001766294,0.0001768974,0.0001317419,0.0001386741,0.6293094,0.004675392,0.2185684,0.002534515,0.1359161],"study_design_scores_gemma":[0.00001536426,0.00002382692,0.00157644,0.00001304691,0.00000801905,0.00002548235,0.00001053088,0.8821568,0.000882507,0.1147868,0.0004854778,0.0000157047],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01589915,0.00009471602,0.9830124,0.0001484553,0.00001249,0.00001104787,0.00006256819,0.0001773229,0.0005817646],"genre_scores_gemma":[0.7911471,0.0004125366,0.2041742,0.0001388542,0.0001832154,0.0001028679,0.0006317468,0.0002338458,0.002975536],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003760491,"threshold_uncertainty_score":0.01844364,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2017764398","doi":"10.1016/s0167-4730(02)00080-2","title":"Critical building separation distance in reducing pounding risk under earthquake excitation","year":2003,"lang":"en","type":"article","venue":"Structural Safety","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Separation (statistics); Parametric statistics; Closeness; Structural engineering; Vibration; Random vibration; Modal; Quadratic equation; Reliability (semiconductor); Mathematics; Engineering; Computer science; Mathematical analysis; Statistics; Geometry; Acoustics; Physics; Materials science","authors":[{"name":"Han Hong","is_ca":true},{"name":"S.S. Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007958304197736831,"gpt":0.2726000105971108,"spread":0.264641706399374,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056879,0.0003332886,0.0003772477,0.0005107085,0.0004305464,0.0004160501,0.0004719732,0.0005357767,0.002446412],"category_scores_gemma":[0.003431735,0.0001533037,0.0001163231,0.0003150039,0.0003625273,0.00077879,0.0007043506,0.0004126569,0.0002146874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676319,"about_ca_system_score_gemma":0.0006572339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113039,"about_ca_topic_score_gemma":0.002626941,"domain_scores_codex":[0.9996798,0.000117853,0.00001134233,0.00003368937,0.00007951191,0.00007788862],"domain_scores_gemma":[0.9986559,0.0006899246,0.000210252,0.00008344813,0.0001950751,0.0001653063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004985657,0.001047145,0.02576717,0.0002239383,0.00007957264,0.000364652,0.0004424606,0.7437777,0.03469103,0.01910592,0.0008006259,0.1687142],"study_design_scores_gemma":[0.0002706935,0.005198699,0.03876576,0.00004446933,0.0001783735,0.0006901395,0.001822305,0.8791361,0.05431731,0.01720874,0.002305444,0.00006195424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386528,0.0002437393,0.05720011,0.0001215214,0.00002048628,0.00002373802,0.00002077728,0.00009259332,0.003624327],"genre_scores_gemma":[0.9969907,0.00002376175,0.00262442,0.000006616893,0.000002633093,0.000004256538,0.000005810823,0.000004210825,0.0003375317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002446412,"threshold_uncertainty_score":0.008184075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1985172729","doi":"10.1016/j.strusafe.2005.08.006","title":"Estimation of life expectancy of wood poles in electrical distribution networks","year":2005,"lang":"en","type":"article","venue":"Structural Safety","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Probabilistic logic; Asset (computer security); Reliability engineering; Life expectancy; Engineering; Cost estimate; Statistical model; Asset management; Computer science; Operations research; Business; Systems engineering","authors":[{"name":"Suresh Datla","is_ca":true},{"name":"Mahesh D. Pandey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003033605950757426,"gpt":0.1961641378141431,"spread":0.1931305318633856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003121134,0.0002572084,0.0001617354,0.001091546,0.0001433949,0.0002047428,0.0002298766,0.0002888371,0.0005197114],"category_scores_gemma":[0.001729921,0.00009566463,0.0002180526,0.0003728024,0.00009565295,0.0004197519,0.0001505334,0.0001071918,0.000176439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002700586,"about_ca_system_score_gemma":0.0001049025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375305,"about_ca_topic_score_gemma":0.002025663,"domain_scores_codex":[0.9999042,0.00002847696,0.000004756523,0.00002071313,0.00002248101,0.00001937674],"domain_scores_gemma":[0.9990765,0.0005354705,0.000114392,0.00007041712,0.000157767,0.00004541643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004863539,0.00008177666,0.4144807,0.00008030464,0.00007392663,0.000317647,0.000123719,0.4924323,0.02319899,0.001096822,0.0003629841,0.0672645],"study_design_scores_gemma":[0.000005461779,0.0001738188,0.2194496,0.00001322783,0.00003937476,0.0001729739,0.00009133541,0.7672635,0.0109512,0.001288261,0.0005326387,0.00001873158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836513,0.0001743509,0.01533272,0.000010305,0.000002434539,0.000003692445,0.0001970664,0.00004616659,0.0005818711],"genre_scores_gemma":[0.9989126,0.00003416013,0.0007394342,8.067081e-7,0.000001428777,0.000001772856,0.0001938756,0.000002396421,0.0001134311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002375305,"threshold_uncertainty_score":0.004722953,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014114366","doi":"10.1016/j.strusafe.2014.03.008","title":"Influence of load spectrum assumptions on the expected reliability of hydroelectric turbines: A case study","year":2014,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Hydro-Québec","funders":"École de technologie supérieure","keywords":"Reliability (semiconductor); Hydroelectricity; Reliability engineering; Sensitivity (control systems); Turbine; Engineering; Environmental science; Computer science; Statistics; Structural engineering; Mathematics; Power (physics); Mechanical engineering","authors":[{"name":"Martin Gagnon","is_ca":true},{"name":"Antoine Tahan","is_ca":true},{"name":"Philippe Bocher","is_ca":true},{"name":"Denis Thibault","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03289225143629886,"gpt":0.3070243338106859,"spread":0.274132082374387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007634435,0.0008949516,0.0008776427,0.001170237,0.0006933586,0.001582207,0.00169534,0.001904249,0.001593234],"category_scores_gemma":[0.03657175,0.0006849425,0.0009366768,0.0007184384,0.001464705,0.001730333,0.0007374798,0.001611067,0.0001578033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833851,"about_ca_system_score_gemma":0.0006168581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006795678,"about_ca_topic_score_gemma":0.005163999,"domain_scores_codex":[0.9967396,0.001859422,0.0001203189,0.000355883,0.0005823105,0.0003424369],"domain_scores_gemma":[0.9025563,0.09012409,0.002965936,0.001469821,0.002390291,0.0004936515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004700427,0.0001175174,0.005996206,0.00005880632,0.00005661479,0.0009321707,0.00008499892,0.9852454,0.001605378,0.001899802,0.0002404937,0.003292537],"study_design_scores_gemma":[0.00005412195,0.0004068487,0.009960031,0.00002021373,0.000120231,0.0003526406,0.0002065668,0.9824983,0.002401832,0.003735487,0.0002016044,0.00004209876],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853441,0.0001753031,0.01075902,0.0002563511,0.00001483957,0.00003180555,0.0002918205,0.00007276461,0.003053979],"genre_scores_gemma":[0.9989986,0.00003094268,0.0007223275,0.000005658324,0.000004193616,0.000005284101,0.00005575662,0.00001201217,0.0001651808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007634435,"threshold_uncertainty_score":0.04037523,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197882540","doi":"10.1016/j.strusafe.2021.102139","title":"Robustness-oriented optimal design for reinforced concrete frames considering the large uncertainty of progressive collapse threats","year":2021,"lang":"en","type":"article","venue":"Structural Safety","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Progressive collapse; Robustness (evolution); Structural engineering; OpenSees; Reinforced concrete; Computer science; Engineering; Mathematical optimization; Forensic engineering; Mathematics","authors":[{"name":"Conrado Praxedes","is_ca":true},{"name":"Xian‐Xun Yuan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01441164710247673,"gpt":0.2604430837487099,"spread":0.2460314366462332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001150941,0.001227656,0.001025184,0.0008732803,0.0003810279,0.0009677394,0.000667139,0.001302752,0.001956643],"category_scores_gemma":[0.002569461,0.000838907,0.0006589656,0.0003205387,0.0008823793,0.0007399666,0.0009656804,0.0007575365,0.0002325354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008473942,"about_ca_system_score_gemma":0.001344547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004748304,"about_ca_topic_score_gemma":0.003486509,"domain_scores_codex":[0.9996603,0.0001203195,0.000009941435,0.00005742481,0.00008705315,0.00006495266],"domain_scores_gemma":[0.9992083,0.0004357487,0.000129617,0.00002685565,0.0001553547,0.0000442044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000207478,0.000006341954,0.00006487636,0.00001722676,0.00001050946,0.00001852029,0.00001056082,0.9930691,0.0008993324,0.003615014,0.00008108717,0.002186748],"study_design_scores_gemma":[0.00000410084,0.00002162613,0.00005707851,0.000003999321,0.000004436146,0.00000282217,0.000005417612,0.9972735,0.0001772315,0.002346882,0.00009971049,0.000003124948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05254596,0.0002806618,0.9397176,0.0002196248,0.0000440888,0.00003933096,0.00006221741,0.00009999119,0.006990557],"genre_scores_gemma":[0.9644345,0.0002246575,0.03269556,0.00005547589,0.00003402099,0.00007846944,0.00007280002,0.00007511896,0.002329377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004748304,"threshold_uncertainty_score":0.009441376,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2766642817","doi":"10.1016/j.strusafe.2017.10.005","title":"The effect of inspection sizing uncertainty on the maximum corrosion growth in pipelines","year":2017,"lang":"en","type":"article","venue":"Structural Safety","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subsea; Corrosion; Pipeline transport; Sizing; Pipeline (software); Probabilistic logic; Reliability engineering; Engineering; Percentile; Computer science; Marine engineering; Statistics; Materials science; Mathematics; Mechanical engineering; Artificial intelligence; Metallurgy","authors":[{"name":"Markus R. Dann","is_ca":true},{"name":"Luc Huyse","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007379171918949348,"gpt":0.236905333317358,"spread":0.2295261613984086,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302875,0.0004531445,0.0003724898,0.0004121729,0.0002188695,0.0005055298,0.0003544407,0.0006284158,0.0006875198],"category_scores_gemma":[0.01390542,0.0004091722,0.0003255209,0.000336176,0.0005535864,0.0009372717,0.000296886,0.0005547685,0.0000623614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005344997,"about_ca_system_score_gemma":0.0003154763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002530976,"about_ca_topic_score_gemma":0.002698391,"domain_scores_codex":[0.999396,0.000207033,0.0000231882,0.0001223095,0.000158791,0.00009264672],"domain_scores_gemma":[0.9805803,0.01662877,0.001363452,0.000500961,0.0008034613,0.0001230762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004273839,0.00004723714,0.007983772,0.00007428752,0.00003437529,0.0001768627,0.00003734339,0.9623209,0.01759373,0.001266024,0.0001857708,0.009852322],"study_design_scores_gemma":[0.000006616354,0.0001447387,0.01338915,0.000006766865,0.00002721767,0.0000699244,0.00002327269,0.9710136,0.01445246,0.0007703007,0.00007878061,0.0000172287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471366,0.0004140553,0.04943949,0.0002995446,0.00002027268,0.000007895088,0.0001913053,0.0002250203,0.00226569],"genre_scores_gemma":[0.9986504,0.00003554354,0.001139061,0.000007670375,0.000003429017,0.000001269516,0.0000290557,0.00001387975,0.000119766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002530976,"threshold_uncertainty_score":0.006890297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366085553","doi":"10.1016/j.strusafe.2023.102348","title":"Stochastic modelling of non-stationary environmental loads for reliability analysis under the changing climate","year":2023,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Climate change; Quantile; Environmental science; Poisson distribution; Percentile; Return period; Econometrics; Probabilistic logic; Stochastic process; Interval (graph theory); Extreme value theory; Poisson process; Computer science; Statistics; Reliability engineering; Mathematics; Engineering; Geography; Geology","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"Zoubir Lounis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05669161941875018,"gpt":0.3146062651208289,"spread":0.2579146457020787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001359413,0.0007775075,0.0009597436,0.0006602068,0.0003842199,0.001022257,0.00159135,0.001283552,0.002130087],"category_scores_gemma":[0.00448127,0.0007294407,0.0008454077,0.0007210795,0.001272866,0.001555951,0.0008849099,0.001119459,0.0002760826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169377,"about_ca_system_score_gemma":0.001059852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01153766,"about_ca_topic_score_gemma":0.01401316,"domain_scores_codex":[0.9993674,0.0002606151,0.00002541841,0.0001074014,0.0001484128,0.00009073104],"domain_scores_gemma":[0.9986456,0.0007675575,0.0002776381,0.00007787343,0.0001720375,0.00005936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004479819,0.000004876516,0.0001834351,0.000005775376,0.000007147366,0.000009907957,0.000007395023,0.9916803,0.0001968974,0.007191971,0.00007568605,0.0006321596],"study_design_scores_gemma":[9.316346e-7,0.000003831153,0.000109799,0.000001266186,0.000002574819,0.00000275674,0.000002812381,0.9963966,0.0000371003,0.003351121,0.00008851077,0.000002746752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08599689,0.000343127,0.9084074,0.0005605319,0.0001154644,0.00002974906,0.0002616743,0.0001463694,0.004138793],"genre_scores_gemma":[0.9807615,0.0004982156,0.01364694,0.00005859527,0.00008391632,0.00005910222,0.0001967674,0.00007502172,0.004619919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01153766,"threshold_uncertainty_score":0.02294105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085436403","doi":"10.1016/j.strusafe.2005.06.003","title":"Modeling error analysis of shear predicting models for RC beams","year":2005,"lang":"en","type":"article","venue":"Structural Safety","topic":"Structural Behavior of Reinforced Concrete","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Shear (geology); Structural engineering; Reinforced concrete; Building code; Engineering; Geotechnical engineering; Computer science; Geology","authors":[{"name":"S. Somo","is_ca":true},{"name":"Han Hong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01852210630905218,"gpt":0.2562852839962684,"spread":0.2377631776872162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001900463,0.0005755268,0.0005561498,0.0006414439,0.000426831,0.0006017261,0.0008735342,0.001091932,0.001171562],"category_scores_gemma":[0.007263707,0.0004656478,0.0006441228,0.0004177164,0.0004493874,0.0005987852,0.0005079395,0.0006776772,0.0002144291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955306,"about_ca_system_score_gemma":0.0009020666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02840653,"about_ca_topic_score_gemma":0.01322221,"domain_scores_codex":[0.9995217,0.0001625351,0.00003330889,0.00006615916,0.0001653698,0.00005089394],"domain_scores_gemma":[0.9962477,0.002392875,0.0002863377,0.0002758314,0.0007538399,0.00004343633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005238551,0.00001479452,0.0008532507,0.00001127656,0.00001322283,0.00001192645,0.00002197328,0.9927326,0.001101181,0.0009928801,0.00008447964,0.004109974],"study_design_scores_gemma":[0.000001143433,0.00000476386,0.0001037444,7.550573e-7,0.000002304744,0.000001408651,0.000001704369,0.9993494,0.0004286262,0.00008471294,0.00002018597,0.000001267402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5395403,0.0002880472,0.4553349,0.0003537431,0.0000598943,0.00004346281,0.0002275507,0.0007643577,0.003387794],"genre_scores_gemma":[0.9768877,0.00006855443,0.02126935,0.00002473364,0.00001285763,0.00002845047,0.0001427955,0.0001201353,0.001445447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02840653,"threshold_uncertainty_score":0.05648237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2998809972","doi":"10.1016/j.strusafe.2019.101914","title":"Influence of corrosion on reliability-based design of steel grid MSE walls","year":2020,"lang":"en","type":"article","venue":"Structural Safety","topic":"Concrete Corrosion and Durability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta Ministry of Transportation","keywords":"Corrosion; Reliability (semiconductor); Structural engineering; Materials science; Engineering; Reliability engineering; Geotechnical engineering; Metallurgy; Thermodynamics","authors":[{"name":"Nezam Bozorgzadeh","is_ca":true},{"name":"Richard J. Bathurst","is_ca":true},{"name":"Tony M. Allen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01402058859293522,"gpt":0.2186816565468728,"spread":0.2046610679539375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006811529,0.0004126276,0.0003191878,0.000381343,0.0001552107,0.0005080565,0.0004093555,0.0004531471,0.000933059],"category_scores_gemma":[0.002690762,0.0002655883,0.0002164,0.0001057394,0.0002600543,0.0002285882,0.0003331619,0.0002510438,0.0002161074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000349569,"about_ca_system_score_gemma":0.0003851189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001291455,"about_ca_topic_score_gemma":0.001980086,"domain_scores_codex":[0.9996885,0.0001115771,0.00001193215,0.00003121906,0.0001093942,0.00004735822],"domain_scores_gemma":[0.9988593,0.0004714772,0.0002072234,0.0000620627,0.0003576666,0.00004230807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003051226,0.00004560242,0.005378559,0.00007832686,0.0000227663,0.0001535904,0.00006768883,0.8922734,0.07945742,0.001306947,0.0001581427,0.0207524],"study_design_scores_gemma":[0.0000150076,0.0005629335,0.005586681,0.0000154009,0.0000429677,0.0001001759,0.00007092646,0.9546914,0.03793257,0.0004047013,0.0005648186,0.00001232618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8692542,0.0001878158,0.1226802,0.00006076484,0.00002371961,0.00002320053,0.00003279772,0.0001437009,0.007593524],"genre_scores_gemma":[0.9948979,0.00002120859,0.004683091,0.000003743181,0.000001750578,0.000002717025,0.00000722043,0.00001359684,0.0003687736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001291455,"threshold_uncertainty_score":0.003602266,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412425140","doi":"10.1016/j.strusafe.2025.102635","title":"Impact of component damage correlations on seismic fragility and risk assessment of multi-component bridge systems","year":2025,"lang":"en","type":"article","venue":"Structural Safety","topic":"Structural Response to Dynamic Loads","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fragility; Component (thermodynamics); Bridge (graph theory); Structural engineering; Seismic risk; Reliability engineering; Forensic engineering; Engineering; Geology; Seismology; Physics","authors":[{"name":"Yazhou Xie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009988199505642696,"gpt":0.2948529266608609,"spread":0.2848647271552182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164308,0.0007392118,0.0004787917,0.0008021069,0.0002918179,0.0007483353,0.0008164066,0.0007382829,0.001049622],"category_scores_gemma":[0.005840894,0.0004159953,0.0006767926,0.0006613413,0.0006540511,0.00152141,0.00114603,0.0006876316,0.00009080967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749277,"about_ca_system_score_gemma":0.001212002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008476229,"about_ca_topic_score_gemma":0.008112778,"domain_scores_codex":[0.9990169,0.0004087719,0.0000351143,0.0001467453,0.0002869458,0.0001055184],"domain_scores_gemma":[0.9956102,0.002955303,0.0006641297,0.0003293175,0.0003203956,0.0001206071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001594201,0.00001093533,0.003096603,0.000009047891,0.00001657514,0.00004395539,0.00001408681,0.9912854,0.0003511128,0.002017776,0.00004120777,0.003097329],"study_design_scores_gemma":[0.000001014115,0.0000203301,0.00153104,0.000003828771,0.000007401364,0.00001685673,0.00001053271,0.9972196,0.0002856805,0.0008487086,0.00005061099,0.000004471636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7140765,0.00042799,0.2800947,0.0002919805,0.00001402339,0.0000436422,0.0002036567,0.0001936935,0.004653834],"genre_scores_gemma":[0.9952227,0.00008384107,0.00441536,0.00001373755,0.000003836425,0.000008714231,0.00004624138,0.00001136124,0.0001941588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008476229,"threshold_uncertainty_score":0.01685381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991691074","doi":"10.1016/j.strusafe.2008.03.002","title":"Extreme quantile estimation from censored sample using partial cross-entropy and fractional partial probability weighted moments","year":2008,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"University Network of Excellence in Nuclear Engineering","keywords":"Quantile; Mathematics; Quantile function; Order statistic; Statistics; Entropy (arrow of time); Extreme value theory; Random variable; Principle of maximum entropy; Applied mathematics; Mathematical optimization; Moment-generating function","authors":[{"name":"Jian Deng","is_ca":true},{"name":"Mahesh D. Pandey","is_ca":true},{"name":"GU De-sheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1162957971666997,"gpt":0.345100936565527,"spread":0.2288051393988274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003376986,0.0005028467,0.001249278,0.001568761,0.0003382933,0.001031983,0.00103236,0.0008787179,0.001289648],"category_scores_gemma":[0.01139114,0.0005560759,0.001012866,0.00106208,0.0008886932,0.001951377,0.001286471,0.0009281315,0.0001538463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005620642,"about_ca_system_score_gemma":0.0004944567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204195,"about_ca_topic_score_gemma":0.001012121,"domain_scores_codex":[0.9989554,0.0005091716,0.00004724971,0.0001680625,0.0002278201,0.00009230846],"domain_scores_gemma":[0.9942428,0.004307985,0.0005264411,0.0004659173,0.0003535801,0.0001032397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000207212,0.00006092871,0.006227829,0.0001032513,0.0001971791,0.0002087271,0.0001131186,0.8602659,0.003258786,0.06389794,0.0005547493,0.06490447],"study_design_scores_gemma":[0.000003539054,0.00001026196,0.0009689205,0.000004807172,0.000007637615,0.00002751264,0.000005669037,0.9834998,0.0005224944,0.0148487,0.00009131972,0.000009410712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02687558,0.0000713617,0.9726458,0.0000291008,0.00000622183,0.00000651017,0.00002823922,0.0001259613,0.0002111973],"genre_scores_gemma":[0.8685475,0.0001747067,0.1298885,0.00004307193,0.00005174486,0.00005318963,0.0003196367,0.00007220769,0.0008493889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003376986,"threshold_uncertainty_score":0.01785946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378700591","doi":"10.1016/j.strusafe.2023.102349","title":"Duration of extreme synoptic wind speeds for North America in a changing climate and its engineering implementation","year":2023,"lang":"en","type":"article","venue":"Structural Safety","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University; Rowan Williams Davies & Irwin (Canada)","funders":"","keywords":"Wind speed; Duration (music); Environmental science; Maximum sustained wind; Wind engineering; Return period; Meteorology; Aerodynamics; Wind power; Climatology; Terrain; Percentile; Wind profile power law; Wind gradient; Engineering; Geography; Geology; Statistics; Mathematics; Flood myth; Aerospace engineering","authors":[{"name":"Sihan Li","is_ca":true},{"name":"Gregory A. Kopp","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02416741002246307,"gpt":0.266903206901479,"spread":0.2427357968790159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000709359,0.0000952401,0.00007709433,0.0003775767,0.0005369907,0.000780906,0.0002990732,0.0003065203,0.00138805],"category_scores_gemma":[0.002232064,0.00008582672,0.0001260749,0.0005728656,0.0002811307,0.0006585741,0.0005359657,0.0003302406,0.00006551828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001257092,"about_ca_system_score_gemma":0.001385622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04813191,"about_ca_topic_score_gemma":0.1256738,"domain_scores_codex":[0.9997615,0.00005605853,0.00001789539,0.00004013864,0.00005028789,0.00007405727],"domain_scores_gemma":[0.9984667,0.0003146181,0.0004629419,0.00006984061,0.0003546879,0.0003311969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001137699,0.0001156959,0.9813183,0.00002216095,0.00003288421,0.00008845885,0.0008861122,0.001685588,0.001069511,0.0009415364,0.0005082916,0.01321767],"study_design_scores_gemma":[9.912912e-7,0.00001852772,0.9981359,0.000003189207,0.00000386623,0.00000756326,0.0007510654,0.0004616365,0.0000874121,0.00006038914,0.0004680431,0.000001444326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967642,0.00005530537,0.0001150821,0.000234024,0.000004736119,0.000003033308,0.0001403402,0.000003418773,0.002679811],"genre_scores_gemma":[0.9995729,0.00003691594,0.00005508984,0.00001590414,0.000003653075,0.000002209469,0.00007910763,9.066655e-7,0.0002332952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9518681,"threshold_uncertainty_score":0.09570348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380928241","doi":"10.1016/j.strusafe.2023.102365","title":"Selection of hazard-consistent ground motions for risk-based analyses of structures","year":2023,"lang":"en","type":"article","venue":"Structural Safety","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; University of Waterloo","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Seismic hazard; Consistency (knowledge bases); Hazard; Incremental Dynamic Analysis; Peak ground acceleration; Seismic risk; Set (abstract data type); Computer science; Engineering; Seismic analysis; Data mining; Ground motion; Seismology; Geology; Structural engineering; Artificial intelligence","authors":[{"name":"Bo Li","is_ca":true},{"name":"Zhen Cai","is_ca":true},{"name":"Zhongdong Duan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0259647397172405,"gpt":0.2886975926560822,"spread":0.2627328529388417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001109248,0.000947201,0.0006645388,0.00194818,0.0004807145,0.0007074862,0.0008508303,0.0006386869,0.001597593],"category_scores_gemma":[0.005277057,0.0004911618,0.0007036655,0.0005755682,0.0003997679,0.0006438485,0.0007204071,0.0005727261,0.0003437664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809359,"about_ca_system_score_gemma":0.001254292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781465,"about_ca_topic_score_gemma":0.003159597,"domain_scores_codex":[0.9994849,0.0002440965,0.00002577481,0.00007117556,0.0001098442,0.00006423446],"domain_scores_gemma":[0.9988808,0.0004806649,0.0001507541,0.000118167,0.0002885537,0.00008110912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009179735,0.0005368532,0.02800403,0.0001369059,0.0001823462,0.000352235,0.0002177484,0.7288345,0.06008077,0.008958227,0.001541701,0.1702367],"study_design_scores_gemma":[0.00004490932,0.0001704844,0.00449367,0.00001664576,0.00003666437,0.00003716752,0.0000894802,0.9845096,0.007249477,0.002953061,0.0003839267,0.0000148884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2460068,0.0001108847,0.7509931,0.00009534734,0.00001483839,0.0001391412,0.0003754084,0.0003834896,0.001881092],"genre_scores_gemma":[0.8681321,0.00006141048,0.1301331,0.00003755953,0.0000161451,0.0001203179,0.0007390833,0.0001044959,0.0006556901],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00194818,"threshold_uncertainty_score":0.005866289,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3137435986","doi":"10.1016/j.strusafe.2021.102078","title":"Tornado wind hazard mapping and equivalent tornado design wind profile for Canada","year":2021,"lang":"en","type":"article","venue":"Structural Safety","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Environment and Climate Change Canada; University of Calgary; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Western University; University of Calgary","keywords":"Tornado; Wind speed; Return period; Meteorology; Environmental science; Thunderstorm; Wind profile power law; Population; Engineering; Geography; Flood myth","authors":[{"name":"Han Hong","is_ca":true},{"name":"Q. Huang","is_ca":true},{"name":"Wenzheng Jiang","is_ca":true},{"name":"Qian Tang","is_ca":true},{"name":"Philip Jarrett","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01652110353745299,"gpt":0.2189758403568221,"spread":0.2024547368193691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001783058,0.0002993754,0.0002592497,0.000829155,0.001320578,0.0008535933,0.0005283908,0.0002469252,0.004758536],"category_scores_gemma":[0.0006141242,0.0002270276,0.0003933046,0.001204957,0.0002151015,0.0003046888,0.0002396985,0.0002843826,0.0003666128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01045834,"about_ca_system_score_gemma":0.01583018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850252,"about_ca_topic_score_gemma":0.9924246,"domain_scores_codex":[0.9998477,0.000009682941,0.000003885868,0.00002300357,0.00006332101,0.00005246153],"domain_scores_gemma":[0.9996662,0.00002093548,0.00001179042,0.00001518643,0.0002472893,0.0000386123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000575141,0.0002600566,0.1385551,0.0001520104,0.00008859336,0.0003479074,0.0005445066,0.6722087,0.007751556,0.007728924,0.01823183,0.1535557],"study_design_scores_gemma":[0.0000946993,0.0000897411,0.2511781,0.00004304758,0.00004947512,0.00008195627,0.001588079,0.7218512,0.003549599,0.001778436,0.01961256,0.0000831627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465731,0.0001490291,0.01572591,0.0002057054,0.00001788965,0.0001159131,0.01045199,0.0005416092,0.0262187],"genre_scores_gemma":[0.9749418,0.0001111015,0.0107889,0.0000177999,0.000001683538,0.00002920752,0.004283905,0.0001170713,0.009708523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01497477,"threshold_uncertainty_score":0.07588089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047272433","doi":"10.1016/s0167-4730(00)00012-6","title":"Safety and Reliability: ESREL'99","year":2000,"lang":"en","type":"article","venue":"Structural Safety","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Computer science; Engineering; Physics","authors":[{"name":"Mahesh D. Pandey","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02180447937270472,"gpt":0.3217726309223729,"spread":0.2999681515496682,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006052898,0.00121307,0.00105983,0.003064538,0.0009195769,0.004566066,0.001321399,0.001781932,0.0534406],"category_scores_gemma":[0.008335337,0.0006674865,0.0005394444,0.002836158,0.001363295,0.003365447,0.001852372,0.002684056,0.02369225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002067184,"about_ca_system_score_gemma":0.001847591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0035361,"about_ca_topic_score_gemma":0.003750527,"domain_scores_codex":[0.9974977,0.0005957066,0.0001414065,0.0002662011,0.001372586,0.0001264023],"domain_scores_gemma":[0.9934381,0.002002944,0.000202839,0.0008339992,0.003247272,0.0002748317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001161054,0.000143887,0.0005462107,0.0003008379,0.00002728311,0.0001695214,0.0001407795,0.009121834,0.0006910152,0.1534747,0.4265997,0.4086682],"study_design_scores_gemma":[0.00003922237,0.00006467977,0.0009955793,0.0004049188,0.00003300855,0.0002209527,0.00006172706,0.01842706,0.002016491,0.04926371,0.928441,0.00003152174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01057699,0.02979433,0.3238327,0.03507391,0.01780073,0.0002558168,0.002789757,0.005887771,0.573988],"genre_scores_gemma":[0.1260399,0.02711067,0.1776413,0.002697324,0.01285789,0.0002692752,0.004251197,0.003251137,0.6458813],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0534406,"threshold_uncertainty_score":0.1787766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387081103","doi":"10.1016/j.strusafe.2023.102391","title":"Soft Monte Carlo Simulation for imprecise probability estimation: A dimension reduction-based approach","year":2023,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Monte Carlo method; Random variable; Mathematical optimization; Mathematics; Dimension (graph theory); Benchmark (surveying); Reduction (mathematics); Interval (graph theory); Univariate; Upper and lower bounds; Probability distribution; Dimensionality reduction; Applied mathematics; Algorithm; Computer science; Statistics","authors":[{"name":"Azam Abdollahi","is_ca":true},{"name":"Hossein Shahraki","is_ca":false},{"name":"Matthias G.R. Faes","is_ca":false},{"name":"Mohsen Rashki","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09070345815118433,"gpt":0.3525732052945648,"spread":0.2618697471433805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003197882,0.00109082,0.002743607,0.002095512,0.0008534453,0.002086849,0.002378906,0.001787155,0.003576627],"category_scores_gemma":[0.0169073,0.001495011,0.002107399,0.001386678,0.002120812,0.002174184,0.003203187,0.002882002,0.0007489655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296669,"about_ca_system_score_gemma":0.00155631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004126523,"about_ca_topic_score_gemma":0.003207867,"domain_scores_codex":[0.9975532,0.001145455,0.0001041615,0.0002402905,0.000820443,0.0001365161],"domain_scores_gemma":[0.9853975,0.01125168,0.0007160961,0.001393284,0.001032689,0.0002087804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002905028,0.00001985048,0.0002098119,0.00002694643,0.00003897294,0.00002783539,0.00002451669,0.9706702,0.000404608,0.02044944,0.0001668435,0.007932054],"study_design_scores_gemma":[0.000001839356,0.000003711992,0.00001843909,0.000003455907,0.000003981022,0.000005962548,0.000001606279,0.9935034,0.0001055673,0.00626258,0.00008641803,0.000003077525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002134886,0.00005699665,0.996877,0.00007017751,0.00001051747,0.00001780975,0.00001915992,0.0001075829,0.0007059759],"genre_scores_gemma":[0.48552,0.0004196312,0.5094495,0.0003112197,0.0001565499,0.0004258002,0.0002578316,0.0003723718,0.0030871],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004126523,"threshold_uncertainty_score":0.01691222,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391018239","doi":"10.1016/j.strusafe.2024.102440","title":"Estimating intraevent and interevent variability and spatial correlation of tropical cyclone wind fields and their use for the risk assessment of a portfolio of structures","year":2024,"lang":"en","type":"article","venue":"Structural Safety","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Actua; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Western University","keywords":"Tropical cyclone; Wind engineering; Spatial correlation; Environmental science; Wind speed; Residual; Wind profile power law; Spatial variability; Wind direction; Meteorology; Mathematics; Statistics; Geography","authors":[{"name":"Qinglai Fan","is_ca":true},{"name":"Han Hong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01291657899821318,"gpt":0.2743348138409495,"spread":0.2614182348427363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001447786,0.0004087809,0.0002834385,0.002008552,0.0002215649,0.0006771423,0.0004335706,0.0004768966,0.0005775897],"category_scores_gemma":[0.005051936,0.0002193469,0.0004644468,0.0009809565,0.0001765558,0.0007789384,0.0005367658,0.000464435,0.0001258626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003365807,"about_ca_system_score_gemma":0.0004178287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007031284,"about_ca_topic_score_gemma":0.01026441,"domain_scores_codex":[0.9996743,0.00007180113,0.00003096255,0.00009841417,0.00007229047,0.00005210543],"domain_scores_gemma":[0.9950622,0.002990902,0.0009950169,0.0003683672,0.0003707065,0.0002128623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002976193,0.0003270849,0.8246066,0.00002906256,0.0003068791,0.000223706,0.0001014942,0.1354525,0.003709592,0.00079727,0.000402174,0.03374606],"study_design_scores_gemma":[0.00001080129,0.0001195674,0.3998423,0.000006733871,0.00005482344,0.00008454455,0.0001141478,0.5980569,0.001087568,0.0004361972,0.000167741,0.00001867905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987923,0.00004988899,0.01114586,0.0000357285,0.000006640381,0.00001383206,0.0003839242,0.00005726925,0.0003839264],"genre_scores_gemma":[0.9972659,0.00003009703,0.001867683,0.000002846204,0.000007687104,0.000006817264,0.0006428005,0.000004578633,0.0001715542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007031284,"threshold_uncertainty_score":0.01398075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309193103","doi":"10.1016/j.strusafe.2022.102297","title":"Fitting generalized Pareto distribution based on the expected order statistics and its application for ice accretion hazard mapping","year":2022,"lang":"en","type":"article","venue":"Structural Safety","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Western University","keywords":"Gumbel distribution; Generalized Pareto distribution; Statistics; Extreme value theory; Shape parameter; Estimator; Mathematics; Pareto distribution; Range (aeronautics); Engineering","authors":[{"name":"Yucheng Liu","is_ca":true},{"name":"Han Hong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01219439612046548,"gpt":0.2336078394558536,"spread":0.2214134433353881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003356837,0.001003828,0.001163406,0.002843744,0.0006892919,0.001406976,0.0015059,0.001106799,0.002050779],"category_scores_gemma":[0.01206961,0.0005488429,0.001939673,0.00229996,0.000729168,0.001940139,0.001010814,0.001391113,0.000466115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057912,"about_ca_system_score_gemma":0.002474766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111864,"about_ca_topic_score_gemma":0.006565835,"domain_scores_codex":[0.9987056,0.0004410918,0.00007295837,0.0002435039,0.0003805859,0.0001561219],"domain_scores_gemma":[0.9951805,0.003240677,0.0002710211,0.00026274,0.000932231,0.0001129773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009856783,0.00009622291,0.006506793,0.00014354,0.0001277217,0.0002311089,0.0001325552,0.8635953,0.002194232,0.02380027,0.002045094,0.1010286],"study_design_scores_gemma":[0.000004533073,0.00001573132,0.0006622891,0.000008054971,0.00001057305,0.00004697744,0.0000202658,0.9920535,0.0003113792,0.006501164,0.0003513231,0.00001413508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01455182,0.0001446394,0.9843089,0.00005341946,0.00002017848,0.00002913943,0.00007900224,0.0002292114,0.0005837384],"genre_scores_gemma":[0.594395,0.0009698078,0.3972957,0.0001448555,0.0001618379,0.0003176487,0.001726459,0.0003396141,0.004649001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0111864,"threshold_uncertainty_score":0.02224255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3137149662","doi":"10.1016/j.strusafe.2021.102094","title":"A reformulation of the stochastic load combination problem","year":2021,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University Network of Excellence in Nuclear Engineering","keywords":"Mathematical optimization; Reliability (semiconductor); Mathematics; Process (computing); Poisson distribution; Renewal theory; Stochastic process; Shock (circulatory); Applied mathematics; Computer science; Statistics","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"J.A.M. van der Weide","is_ca":true},{"name":"Noldainerick Manzana","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03576830310484669,"gpt":0.3018070989832834,"spread":0.2660387958784367,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001325444,0.0007535244,0.001042579,0.0005889665,0.000387577,0.001225107,0.001330924,0.001210818,0.009620931],"category_scores_gemma":[0.003084934,0.0004170499,0.000831878,0.0008022525,0.0007486406,0.001714561,0.001198053,0.001388168,0.0009144464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007298378,"about_ca_system_score_gemma":0.001278504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004585,"about_ca_topic_score_gemma":0.002231119,"domain_scores_codex":[0.9989165,0.0004270941,0.00004180711,0.0002025393,0.0003131332,0.00009895239],"domain_scores_gemma":[0.9991804,0.0004229409,0.0001256462,0.00007896376,0.000148226,0.00004390629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003952718,0.00006563823,0.0002310122,0.0001040346,0.00003864388,0.0001285861,0.0000474001,0.5484008,0.0009804221,0.412856,0.005993195,0.03111463],"study_design_scores_gemma":[0.00001928295,0.00004423511,0.0001777084,0.00001744372,0.00001425534,0.00007982309,0.00001699523,0.8189596,0.0002628419,0.1758817,0.004514656,0.00001146478],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008069711,0.0001741589,0.9772434,0.0008313367,0.00008175629,0.00003223141,0.0002463116,0.00005612135,0.01326506],"genre_scores_gemma":[0.6174371,0.001045781,0.3402066,0.0006164612,0.0008068947,0.0003411042,0.001190798,0.0002092357,0.03814602],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009620931,"threshold_uncertainty_score":0.03218526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405740845","doi":"10.1016/j.strusafe.2024.102569","title":"Stochastic modelling of non-stationary and dependent weather extremes for structural reliability analysis in the changing climate","year":2024,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Structural reliability; Environmental science; Climate change; Climatology; Econometrics; Meteorology; Computer science; Mathematics; Statistics; Geography; Geology; Physics","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"Sophie Mercier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0522720842641937,"gpt":0.3276952981980076,"spread":0.2754232139338139,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001752253,0.0004726816,0.0005439161,0.0005029145,0.000324615,0.0007315874,0.001277865,0.0009143388,0.0007715976],"category_scores_gemma":[0.004211072,0.0003759051,0.0007709016,0.0006152,0.001100377,0.0009463311,0.0007890347,0.001309866,0.0001306465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000936401,"about_ca_system_score_gemma":0.0008715093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055743,"about_ca_topic_score_gemma":0.01206596,"domain_scores_codex":[0.9992267,0.0003608738,0.00002990837,0.0001077047,0.0001753838,0.00009946041],"domain_scores_gemma":[0.9985233,0.0009232254,0.0002890546,0.00009043127,0.0001186515,0.00005537778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008540754,0.000009137298,0.0006419617,0.000009925276,0.00001185679,0.00003569705,0.00002679717,0.9705521,0.0006047827,0.02589122,0.0000905847,0.002117279],"study_design_scores_gemma":[0.000001210093,0.000005836926,0.0002056899,0.000001379965,0.000002484996,0.000005306862,0.000004337755,0.9945101,0.00006086162,0.00507485,0.0001247508,0.000003209285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06286634,0.0002116692,0.9350395,0.0002081836,0.00003004517,0.00002114704,0.00007808419,0.00007003795,0.001474921],"genre_scores_gemma":[0.9719846,0.0005140625,0.02513736,0.00004031071,0.0000525672,0.00006052711,0.0001188651,0.00002480727,0.0020669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01055743,"threshold_uncertainty_score":0.02099198,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396607967","doi":"10.1016/j.strusafe.2024.102478","title":"Reliability-based calibration of companion load combination factors by considering concurrent wind and ice loading for structural design","year":2024,"lang":"en","type":"article","venue":"Structural Safety","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre for Energy Advancement through Technological Innovation","keywords":"Wind engineering; Calibration; Wind speed; Reliability (semiconductor); Parametric statistics; Range (aeronautics); Computer science; Environmental science; Structural engineering; Meteorology; Engineering; Statistics; Mathematics","authors":[{"name":"Han Hong","is_ca":true},{"name":"Yucheng Liu","is_ca":true},{"name":"Wangqiu Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01801968324186499,"gpt":0.2483318473431884,"spread":0.2303121641013234,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001186948,0.001007617,0.0004055195,0.001569976,0.000228059,0.000384031,0.0006479019,0.0005892403,0.001252771],"category_scores_gemma":[0.007646026,0.000373817,0.0004545418,0.0007225908,0.0002403189,0.0007479335,0.0003707611,0.0003613361,0.000438258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004221324,"about_ca_system_score_gemma":0.0005601168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002754383,"about_ca_topic_score_gemma":0.004263663,"domain_scores_codex":[0.9993352,0.0001917965,0.00002948968,0.0001176549,0.0002842768,0.00004154311],"domain_scores_gemma":[0.9962889,0.001502218,0.0004723002,0.0005023277,0.001169889,0.00006432192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001154503,0.00005615142,0.009305116,0.00005436183,0.00003307819,0.00004508813,0.00006368569,0.9187768,0.01556058,0.0006063532,0.000391216,0.05499224],"study_design_scores_gemma":[0.000005315173,0.00006315035,0.004312717,0.000005645474,0.0000169195,0.00002723403,0.00001004778,0.9911789,0.003823629,0.0003315576,0.0002158752,0.000009057078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3736678,0.0001775055,0.6207225,0.00004253917,0.00002953451,0.00004949992,0.0002009626,0.001010946,0.00409863],"genre_scores_gemma":[0.9625087,0.00003434012,0.03694322,0.000006019225,0.000006116592,0.0000222645,0.0001349129,0.00006373671,0.0002807629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002754383,"threshold_uncertainty_score":0.006277263,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381995994","doi":"10.1016/j.strusafe.2023.102363","title":"Importance ranking of correlated variables in one analysis","year":2023,"lang":"en","type":"article","venue":"Structural Safety","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Sobol sequence; Ranking (information retrieval); Multiplicative function; Mathematics; Sensitivity (control systems); Measure (data warehouse); Contrast (vision); Correlation; Random variable; Statistics; Applied mathematics; Computer science; Monte Carlo method; Data mining; Machine learning; Mathematical analysis; Artificial intelligence; Engineering","authors":[{"name":"Terje Haukaas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06820766897925265,"gpt":0.3202305357329595,"spread":0.2520228667537069,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0129758,0.001623688,0.00295411,0.005997979,0.001151158,0.00346953,0.001795417,0.001179496,0.002088753],"category_scores_gemma":[0.03549244,0.0006868852,0.002331299,0.003175768,0.001756723,0.002276371,0.002233415,0.0020979,0.0002474996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001274837,"about_ca_system_score_gemma":0.00218397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002215665,"about_ca_topic_score_gemma":0.002797464,"domain_scores_codex":[0.9875435,0.00714408,0.0004778607,0.001097783,0.002934298,0.0008025925],"domain_scores_gemma":[0.9653648,0.02754966,0.001495627,0.001991577,0.002803491,0.0007949458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001397882,0.0006383114,0.03790622,0.0008950709,0.001639304,0.0005587355,0.0004192719,0.5620705,0.007366498,0.1162609,0.003472619,0.2673746],"study_design_scores_gemma":[0.00004230161,0.0001884733,0.005046224,0.00006386913,0.0003194757,0.00006907481,0.00009136189,0.9010258,0.001775989,0.09052189,0.0008063608,0.00004918846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07594928,0.0005756122,0.9205889,0.0003658463,0.00006696588,0.00009053954,0.0001322413,0.0001636602,0.002066889],"genre_scores_gemma":[0.8317739,0.0005596103,0.1649856,0.0001235242,0.0002513858,0.0001362532,0.0005201951,0.0001403598,0.001509163],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0129758,"threshold_uncertainty_score":0.06862342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972446213","doi":"10.1016/j.strusafe.2007.09.004","title":"Reply to “The derivation and calibration of the life quality index (LQI) from economic principles”, by Ditlevsen and Friis-Hansen [Struct Saf, 28 (2006), 341–360]","year":2007,"lang":"en","type":"article","venue":"Structural Safety","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Life expectancy; Economics; Value (mathematics); Index (typography); Income elasticity of demand; Econometrics; Microeconomics; Mathematics; Statistics; Computer science; Sociology","authors":[{"name":"Mahesh D. Pandey","is_ca":true},{"name":"Jatin Nathwani","is_ca":true},{"name":"Niels C. Lind","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03574084409749632,"gpt":0.3847682006019972,"spread":0.3490273565045009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01120641,0.001473984,0.002270628,0.001439762,0.004547023,0.004711902,0.00373945,0.04342627,0.00468242],"category_scores_gemma":[0.0739125,0.001485089,0.00180522,0.002055665,0.00622704,0.00655502,0.003782515,0.0579444,0.00427701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004304179,"about_ca_system_score_gemma":0.006574996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087397,"about_ca_topic_score_gemma":0.02161123,"domain_scores_codex":[0.9943572,0.001660453,0.001367261,0.0009689131,0.001157481,0.0004886487],"domain_scores_gemma":[0.9652102,0.024386,0.001688974,0.0008916094,0.006682321,0.001140889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003591649,0.00001240535,0.0002772529,0.00007854861,0.0000257942,0.00007114714,0.0002519829,0.00006522469,0.00007498758,0.004915871,0.9910623,0.003128561],"study_design_scores_gemma":[0.0001185185,0.00003759241,0.005353033,0.0008885014,0.00008483505,0.0003936836,0.001599572,0.0004928382,0.0005371555,0.02212241,0.9681561,0.0002158169],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001470317,0.002387844,0.0001989507,0.9773616,0.01942495,0.000005116472,0.0001552079,0.00001192965,0.0003073412],"genre_scores_gemma":[0.001776091,0.001248413,0.0003025071,0.9762884,0.01875213,0.00003046714,0.00006561256,0.00002133051,0.001514989],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04342627,"threshold_uncertainty_score":0.05926585,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011309096","doi":"10.1016/j.strusafe.2005.06.002","title":"Reply to discussion on “Critical building separation distance in reducing pounding risk under earthquake excitation”","year":2005,"lang":"en","type":"article","venue":"Structural Safety","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Separation (statistics); Excitation; Engineering; Forensic engineering; Seismology; Structural engineering; Geology; Computer science","authors":[{"name":"Han Hong","is_ca":true},{"name":"S.S. Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006634636294071946,"gpt":0.2677652944501451,"spread":0.2611306581560731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01183068,0.001762948,0.002331938,0.001445179,0.00821221,0.00603048,0.007031644,0.1405279,0.01461265],"category_scores_gemma":[0.06991449,0.001822245,0.003162057,0.001871304,0.006326029,0.006303169,0.00570824,0.07681179,0.006759374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008608899,"about_ca_system_score_gemma":0.009450996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212049,"about_ca_topic_score_gemma":0.01898625,"domain_scores_codex":[0.9909967,0.002205466,0.001217073,0.001787537,0.002112396,0.001680839],"domain_scores_gemma":[0.9692292,0.02029954,0.001775595,0.0006769088,0.006013514,0.002005098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001078514,0.00002312046,0.000529596,0.0001403907,0.00005362157,0.000368224,0.0006919447,0.0001835368,0.0002871482,0.004825155,0.989069,0.003720249],"study_design_scores_gemma":[0.0002324358,0.00008441821,0.003595873,0.0009044164,0.000188814,0.0004001033,0.002677255,0.000546091,0.0009549403,0.01178994,0.9784284,0.0001973078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003096877,0.0008283877,0.0001827693,0.9754978,0.02215918,0.00001147531,0.00008622112,0.00001412161,0.0009103952],"genre_scores_gemma":[0.002050261,0.0003261392,0.00012065,0.9828103,0.01315581,0.00003102206,0.00002233333,0.00001561761,0.001468022],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1405279,"threshold_uncertainty_score":0.06256741,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415487909","doi":"10.1016/j.strusafe.2025.102667","title":"Resilience based seismic design of CLT coupled walls and Glulam moment resisting frame system","year":2025,"lang":"en","type":"article","venue":"Structural Safety","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Frame (networking); Resilience (materials science); Baseline (sea); Moment (physics); Surrogate model; Nonlinear system; Seismic analysis; Genetic algorithm; Seismic loading","authors":[{"name":"Biniam Tekle Teweldebrhan","is_ca":true},{"name":"Solomon Tesfamariam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005570489800188817,"gpt":0.2104709951363052,"spread":0.2049005053361164,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002548878,0.0005469006,0.0004809485,0.0003524267,0.0002617837,0.0005547223,0.0007008246,0.0007313036,0.002504798],"category_scores_gemma":[0.0003411633,0.0002252653,0.0005138911,0.0001821997,0.0005013267,0.0003223228,0.0006505412,0.0003641968,0.0003090597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515053,"about_ca_system_score_gemma":0.0005855809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978655,"about_ca_topic_score_gemma":0.001896101,"domain_scores_codex":[0.99984,0.00003650458,0.000006047883,0.00003178713,0.00005490302,0.00003062377],"domain_scores_gemma":[0.999886,0.00002814783,0.00003143707,0.00001021674,0.00002726857,0.00001687275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004255051,0.00001746261,0.0006267232,0.00003910233,0.00001225119,0.0001384858,0.00003050071,0.9779683,0.009455192,0.003686982,0.0001988426,0.007783602],"study_design_scores_gemma":[0.000004573595,0.00005537473,0.000173274,0.00000483431,0.00000603223,0.00001814576,0.00001122807,0.9980477,0.0008945216,0.0004028166,0.000377657,0.000003724055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.245949,0.0002889241,0.7291129,0.000241944,0.00005512456,0.00009201962,0.0001554322,0.0004172879,0.02368749],"genre_scores_gemma":[0.9747419,0.00007528262,0.0225394,0.00002815033,0.000006427046,0.00008041484,0.00005479728,0.00001976489,0.002453956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002504798,"threshold_uncertainty_score":0.0083794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416675536","doi":"10.1016/j.strusafe.2025.102671","title":"Nonparametric sector dependence modelling for the directional synthesis of local wind climate and building aerodynamic responses: Adaptive kernel-based approach","year":2025,"lang":"en","type":"article","venue":"Structural Safety","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Engineering, McGill University","keywords":"Aerodynamics; Directionality; Robustness (evolution); Estimator; Nonparametric statistics; Aeroelasticity; Wind tunnel; Wind speed","authors":[{"name":"Nahom K. Berile","is_ca":true},{"name":"Matiyas A. Bezabeh","is_ca":true},{"name":"Seifu A. Bekele","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01262562328189775,"gpt":0.2360143675595325,"spread":0.2233887442776347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260376,0.0005495077,0.0005334988,0.0006958243,0.0002264914,0.0006314167,0.0008170526,0.0006319953,0.00146922],"category_scores_gemma":[0.003496801,0.0004466674,0.001048863,0.0006152804,0.0004388853,0.0009604311,0.0007681626,0.0009411788,0.0004420101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004917898,"about_ca_system_score_gemma":0.0006694908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004309355,"about_ca_topic_score_gemma":0.003696864,"domain_scores_codex":[0.9994712,0.0001927477,0.0000295171,0.0001038654,0.0001453863,0.00005726227],"domain_scores_gemma":[0.9986136,0.0006812858,0.0001678026,0.0001825362,0.0003162489,0.00003839628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008134448,0.00005586034,0.0022932,0.00007740566,0.00004365078,0.00007320246,0.00007947788,0.9101702,0.008031433,0.01288412,0.0005317214,0.06567851],"study_design_scores_gemma":[9.338028e-7,0.000005989081,0.0002183558,0.000001765693,0.000002146226,0.000007569875,0.000004285939,0.9981243,0.0004106011,0.001001918,0.0002173535,0.000004805872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008799701,0.00004428797,0.9905228,0.00002970239,0.000006134394,0.00001070047,0.00003380133,0.0001291254,0.0004236722],"genre_scores_gemma":[0.7695123,0.0002874134,0.2268049,0.00006679022,0.00002750943,0.0001214368,0.0004243496,0.0001688062,0.00258648],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004309355,"threshold_uncertainty_score":0.008568525,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}