{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":171,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":171,"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":"a082d3cc7bd4","filters":{"topic":"Engineering Diagnostics and Reliability"}},"results":[{"id":"W981603413","doi":"10.1007/s00521-015-1990-0","title":"Dynamic neural networks for gas turbine engine degradation prediction, health monitoring and prognosis","year":2015,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Artificial neural network; Computer science; Autoregressive model; Turbine; Gas turbines; Nonlinear autoregressive exogenous model; Artificial intelligence; Machine learning; Engineering; Mathematics","authors":[{"name":"S. Kiakojoori","is_ca":true},{"name":"K. Khorasani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01307860652696934,"gpt":0.2519531064712056,"spread":0.2388744999442362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005058926,0.0004038406,0.0004523021,0.0004391404,0.0001926416,0.0006178764,0.00059611,0.0006653357,0.001024529],"category_scores_gemma":[0.001985431,0.0002301027,0.0002450915,0.0005295796,0.0002324289,0.0006018818,0.0003342222,0.0006171447,0.0002164947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005915826,"about_ca_system_score_gemma":0.0003742081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009013606,"about_ca_topic_score_gemma":0.00758694,"domain_scores_codex":[0.9998536,0.00002940604,0.00001406183,0.000037365,0.00004560742,0.00001990532],"domain_scores_gemma":[0.9995597,0.0002379501,0.00004890525,0.0000255222,0.0001173632,0.0000106405],"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":[0.0001284342,0.00007109655,0.001288414,0.00006985506,0.00005277565,0.00004474007,0.00002013046,0.7999977,0.003370882,0.003041266,0.001280989,0.1906336],"study_design_scores_gemma":[0.000001617793,0.000007881,0.0002417694,0.000002572064,0.000004185448,0.000004226839,0.000002005262,0.998462,0.0003914704,0.0007530315,0.0001268921,0.000002486248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.13422,0.00945257,0.8477542,0.000979203,0.0002842147,0.00005503771,0.0004255685,0.0008860279,0.005943155],"genre_scores_gemma":[0.9588343,0.001464339,0.03292102,0.00007812517,0.00009177695,0.00005967924,0.0002605079,0.0000263135,0.006263942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009013606,"threshold_uncertainty_score":0.01792228,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083923231","doi":"10.1108/14714171211244541","title":"Significance ranking of parameters impacting construction labour productivity","year":2012,"lang":"en","type":"article","venue":"Construction Innovation","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Ranking (information retrieval); Productivity; Labour economics; Economics; Econometrics; Environmental science; Computer science; Information retrieval; Economic growth","authors":[{"name":"Osama Moselhi","is_ca":true},{"name":"Zafar U. Khan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01142623255572148,"gpt":0.2194336554899373,"spread":0.2080074229342159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007716879,0.0009806639,0.0009793531,0.004726204,0.0005396411,0.002281379,0.0004676823,0.0006068068,0.002481721],"category_scores_gemma":[0.03334648,0.0002531998,0.001495086,0.003438432,0.0008689541,0.0008312169,0.0008367004,0.0007429351,0.000328604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006629277,"about_ca_system_score_gemma":0.001173132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311354,"about_ca_topic_score_gemma":0.001943842,"domain_scores_codex":[0.9922787,0.004008659,0.0007659699,0.0006146962,0.001921169,0.0004108683],"domain_scores_gemma":[0.95258,0.0391988,0.002888106,0.001846408,0.002992553,0.0004942081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001205876,0.0003533024,0.7759256,0.0006964747,0.001025721,0.0005517492,0.0005966992,0.05374769,0.01747091,0.001294911,0.0006851461,0.1464459],"study_design_scores_gemma":[0.00004762009,0.001591146,0.8558313,0.0001444836,0.0006847403,0.0004117606,0.002516039,0.1177013,0.01589002,0.003424023,0.001584498,0.000173107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660465,0.0005530599,0.02994394,0.0001522674,0.00003864069,0.0001616651,0.000507315,0.0001576258,0.002438917],"genre_scores_gemma":[0.995407,0.00005290252,0.004192634,0.000005676362,0.000008757145,0.00002148034,0.0002001418,0.00001062977,0.000100827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007716879,"threshold_uncertainty_score":0.04081124,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2235090753","doi":"10.1038/529156e","title":"Monitor safety of aged fuel pipelines","year":2016,"lang":"en","type":"letter","venue":"Nature","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Pipeline transport; Business; Forensic engineering; Environmental science; Engineering; Environmental engineering","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.003207691768811582,"gpt":0.200815173905512,"spread":0.1976074821367004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00225357,0.0003540303,0.0003348288,0.0002649187,0.002168935,0.001784542,0.001080594,0.03163025,0.002962226],"category_scores_gemma":[0.01929909,0.0003847411,0.0004967379,0.0001759828,0.001404082,0.001502149,0.000897716,0.01519619,0.002173283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002121823,"about_ca_system_score_gemma":0.002045713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004598246,"about_ca_topic_score_gemma":0.009304428,"domain_scores_codex":[0.9980185,0.0005129303,0.0001960382,0.0002233662,0.0007864623,0.0002627057],"domain_scores_gemma":[0.9941657,0.003286543,0.0005411613,0.0002911642,0.001168433,0.000547033],"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":[0.0002476448,0.0001587061,0.006124853,0.00009119704,0.00004078494,0.008079665,0.0009411892,0.0008107277,0.004364126,0.01430607,0.9085486,0.05628648],"study_design_scores_gemma":[0.0000975833,0.000238074,0.003759437,0.0002084503,0.00005997227,0.004546718,0.0009090413,0.003645782,0.004926667,0.03251667,0.9490166,0.00007501247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.005118622,0.000795916,0.001623266,0.9702016,0.009025381,0.0000222921,0.00006730908,0.0001152582,0.01303042],"genre_scores_gemma":[0.08542614,0.001177637,0.001983364,0.854436,0.01364659,0.00005996711,0.00005070308,0.00007927603,0.04314031],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03163025,"threshold_uncertainty_score":0.01539499,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2534770783","doi":"10.3303/cet1648040","title":"Developing a quantitative risk-based methodology for maintenance scheduling using Bayesian Network","year":2016,"lang":"en","type":"article","venue":"eCite Digital Repository (University of Tasmania)","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bayesian network; Computer science; Bayesian probability; Scheduling (production processes); Artificial intelligence; Engineering; Operations management","authors":[{"name":"Rouzbeh Abbassi","is_ca":false},{"name":"Jyoti Bhandari","is_ca":false},{"name":"Faisal Khan","is_ca":true},{"name":"Vikram Garaniya","is_ca":false},{"name":"Shuhong Chai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03331541529141491,"gpt":0.2318608815976587,"spread":0.1985454663062438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003108417,0.001007336,0.001114504,0.001793075,0.0004356432,0.001305809,0.001522393,0.001192751,0.002555446],"category_scores_gemma":[0.007355207,0.0009207478,0.001156227,0.001217961,0.0006014205,0.001303769,0.0009047532,0.001368021,0.0003225613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069857,"about_ca_system_score_gemma":0.002373593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01253126,"about_ca_topic_score_gemma":0.0097558,"domain_scores_codex":[0.9989704,0.0005140672,0.00004921586,0.0001544805,0.0002365768,0.00007532127],"domain_scores_gemma":[0.996123,0.003077398,0.0002773351,0.00006965062,0.0003790696,0.00007347941],"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":[0.00001360605,0.00001569339,0.0002880726,0.00003210348,0.00002451629,0.00001868464,0.00002003937,0.9831849,0.0002974756,0.004910802,0.0001597983,0.01103428],"study_design_scores_gemma":[0.000003070999,0.000006737947,0.00005541562,0.000005526023,0.000006614868,0.000005623574,0.000003302176,0.9964423,0.00008017059,0.003238853,0.0001491026,0.000003265245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0032186,0.0001078196,0.9958548,0.00006749918,0.000008465143,0.00004087435,0.00004086001,0.00006503837,0.0005959898],"genre_scores_gemma":[0.3660537,0.0007180366,0.6290587,0.00009613519,0.00008748911,0.0006542947,0.0004075891,0.0001155333,0.002808495],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01253126,"threshold_uncertainty_score":0.02491665,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986413971","doi":"10.1134/s0040601510010039","title":"Diagnostics of steam turbine disks using the metal magnetic memory method","year":2010,"lang":"en","type":"article","venue":"Thermal Engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Cytodiagnostics (Canada)","funders":"","keywords":"Steam turbine; Magnetic memory; Nuclear engineering; Engineering; Turbine; Mechanical engineering; Materials science; Composite material","authors":[{"name":"A. A. Dubov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005918966899016806,"gpt":0.215497025068098,"spread":0.2095780581690812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000215728,0.0003292443,0.0002564554,0.0008378769,0.0001492213,0.0002958183,0.0004971962,0.0005609035,0.001001782],"category_scores_gemma":[0.0007772934,0.0001678965,0.0001612248,0.0001832012,0.0003355375,0.0003478221,0.0002367576,0.0002029661,0.0003441659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008727799,"about_ca_system_score_gemma":0.0001166846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002449824,"about_ca_topic_score_gemma":0.0003523563,"domain_scores_codex":[0.9997817,0.00005427906,0.00001151795,0.00003442073,0.00009636368,0.000021612],"domain_scores_gemma":[0.9996387,0.0001656327,0.0000494906,0.00003344983,0.00008909421,0.00002362978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006348927,0.00004014026,0.004745027,0.0002320737,0.00001711727,0.000456241,0.00006922103,0.0004120625,0.9419225,0.0004809987,0.0002200826,0.05076973],"study_design_scores_gemma":[0.00007517752,0.001478443,0.01082561,0.00004427922,0.000113286,0.007115937,0.000230822,0.01872419,0.9561822,0.0008277718,0.004344509,0.00003761381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8796722,0.00653164,0.1075326,0.0002351907,0.00014231,0.00008212858,0.00008201416,0.0005715536,0.005150477],"genre_scores_gemma":[0.9677926,0.0007843565,0.02998341,0.00005492707,0.00002858242,0.00001619739,0.00002790692,0.00001108915,0.001300853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001001782,"threshold_uncertainty_score":0.003351271,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1510952876","doi":"10.1088/0957-0233/26/6/065604","title":"A framework with nonlinear system model and nonparametric noise for gas turbine degradation state estimation","year":2015,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Life Prediction Technologies (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonparametric statistics; Nonlinear system; Degradation (telecommunications); Gas turbines; Noise (video); Estimation; State (computer science); Turbine; Computer science; Environmental science; Control theory (sociology); Mathematics; Econometrics; Algorithm; Physics; Artificial intelligence; Engineering; Thermodynamics; Telecommunications; Mechanical engineering","authors":[{"name":"Houman Hanachi","is_ca":true},{"name":"Jie Liu","is_ca":true},{"name":"Avisekh Banerjee","is_ca":true},{"name":"Ying Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02258184954430753,"gpt":0.2276975479817538,"spread":0.2051156984374462,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712211,0.00139097,0.001263136,0.0007081058,0.000408596,0.0009507957,0.001577527,0.001287343,0.001350246],"category_scores_gemma":[0.005045976,0.0007095058,0.001232491,0.0007295899,0.0009498286,0.001201219,0.001263712,0.00198752,0.0004735235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008029879,"about_ca_system_score_gemma":0.001448072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01357649,"about_ca_topic_score_gemma":0.007585295,"domain_scores_codex":[0.9991481,0.000254713,0.00004491768,0.000268628,0.0001967905,0.0000868985],"domain_scores_gemma":[0.9984987,0.0008742549,0.0002103581,0.0001052673,0.0002689552,0.00004241409],"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":[0.00004240807,0.00002421331,0.000633584,0.00007394004,0.00005369468,0.0000921886,0.00004917359,0.9598752,0.001048915,0.01966367,0.0005471358,0.01789588],"study_design_scores_gemma":[0.000002384379,0.000009620429,0.00007223363,0.000002253834,0.000005929625,0.000007991879,0.000002149472,0.9975194,0.00009687735,0.002024794,0.0002513529,0.00000483722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001897584,0.0001431722,0.9973521,0.00006159397,0.00002519172,0.000009412452,0.00003866735,0.0001082679,0.0003640552],"genre_scores_gemma":[0.7181281,0.001633766,0.2689475,0.0002408167,0.0004083889,0.000529178,0.0008454743,0.0001740544,0.00909274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01357649,"threshold_uncertainty_score":0.02699488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1427644118","doi":"10.1115/gt2015-44101","title":"Health Monitoring and Degradation Prognostics in Gas Turbine Engines Using Dynamic Neural Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Prognostics; Nonlinear autoregressive exogenous model; Akaike information criterion; Artificial neural network; Computer science; Recurrent neural network; Metric (unit); Degradation (telecommunications); Gas turbines; Condition monitoring; Turbine; Network architecture; Artificial intelligence; Data mining; Machine learning; Engineering","authors":[{"name":"Ameneh Vatani","is_ca":true},{"name":"K. Khorasani","is_ca":true},{"name":"Nader Meskin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01669598623023009,"gpt":0.2492360988483747,"spread":0.2325401126181447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008713706,0.0007234138,0.0005449007,0.0005308416,0.0001930333,0.0005872639,0.0005339066,0.0007557293,0.0003547741],"category_scores_gemma":[0.0024805,0.0002103336,0.000343825,0.0003046269,0.0003900234,0.0008483407,0.0003686849,0.0004607908,0.00008039959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331013,"about_ca_system_score_gemma":0.0003327061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002201712,"about_ca_topic_score_gemma":0.001715612,"domain_scores_codex":[0.9997355,0.00007008759,0.00002476334,0.00005879322,0.00008587581,0.00002488059],"domain_scores_gemma":[0.9993588,0.0003249011,0.0001371152,0.00003476725,0.000129805,0.00001449959],"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":[0.0001243076,0.00005124056,0.003211046,0.0001027511,0.00003784112,0.0001013592,0.00004936284,0.9031401,0.008340644,0.001606531,0.0002052991,0.08302949],"study_design_scores_gemma":[0.000001955601,0.00002823402,0.0005825828,0.000005896685,0.000006830418,0.00001688676,0.000004394914,0.9970769,0.001602687,0.0005725265,0.0000959074,0.000005284479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.105542,0.001582577,0.8906216,0.0002458114,0.00005662743,0.00003491078,0.00005785737,0.0004384482,0.00142019],"genre_scores_gemma":[0.9590791,0.0005360619,0.03949687,0.00004211747,0.0000285657,0.00003457313,0.00006686452,0.00001075936,0.0007051157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002201712,"threshold_uncertainty_score":0.004608333,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2249658000","doi":"","title":"A Statistical Analysis and Model of the Residual Value of Different Types of Heavy Construction Equipment","year":2003,"lang":"en","type":"dissertation","venue":"VTechWorks (Virginia Tech)","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Residual; Statistics; Value (mathematics); Econometrics; Mathematics; Engineering; Computer science; Algorithm","authors":[{"name":"Gunnar Lucko","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003973096745061567,"gpt":0.2099554387318356,"spread":0.2059823419867741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02144638,0.0009870459,0.001287231,0.002776794,0.0005473684,0.00286559,0.00352349,0.001331055,0.004825273],"category_scores_gemma":[0.03836397,0.0006166547,0.003180899,0.003987891,0.001899268,0.002931241,0.001382167,0.002611793,0.001680025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002459195,"about_ca_system_score_gemma":0.002608051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01288149,"about_ca_topic_score_gemma":0.005724368,"domain_scores_codex":[0.9929754,0.002488667,0.0004792004,0.002410971,0.001072188,0.0005736192],"domain_scores_gemma":[0.9534523,0.03440626,0.004929661,0.003655466,0.003082195,0.0004739977],"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":[0.0007425923,0.0006081312,0.3631211,0.000496167,0.001689025,0.0008634041,0.001529125,0.4217346,0.002859702,0.08434761,0.01047472,0.1115339],"study_design_scores_gemma":[0.00002983877,0.0004957969,0.07713329,0.00008552265,0.0001327272,0.0002110548,0.0004621873,0.8956785,0.0009487232,0.02025615,0.004502377,0.00006385418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4082043,0.0006089654,0.5760291,0.001087241,0.0001691223,0.0007646851,0.007541092,0.001300698,0.004294816],"genre_scores_gemma":[0.9070653,0.00041059,0.07274725,0.0001370061,0.00008547695,0.001270537,0.009136063,0.0001762846,0.008971475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02144638,"threshold_uncertainty_score":0.1134207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4320003664","doi":"10.18280/jesa.550614","title":"Real Time Assessment of Novel Predictive Maintenance System based on Artificial Intelligence for Rotating Machines","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Centre National pour la Recherche Scientifique et Technique","keywords":"Downtime; Predictive maintenance; Reliability (semiconductor); Process (computing); Artificial neural network; Reliability engineering; Computer science; Acceleration; Test bench; Engineering; Real-time computing; Artificial intelligence; Embedded system; Power (physics)","authors":[{"name":"El Kihel Ali","is_ca":false},{"name":"El Kihel Youssra","is_ca":false},{"name":"Soufiane Embarki","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0146367401805743,"gpt":0.2563380830911107,"spread":0.2417013429105364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000348336,0.0004787404,0.000402998,0.0004801475,0.0001875344,0.000448861,0.0005604436,0.0004807679,0.00102162],"category_scores_gemma":[0.0007161198,0.0001354127,0.0002092529,0.0002080727,0.0001624618,0.0004439481,0.0002194893,0.0002708317,0.0001788642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003349539,"about_ca_system_score_gemma":0.0002150331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001196063,"about_ca_topic_score_gemma":0.001227275,"domain_scores_codex":[0.9998104,0.00003106995,0.00001088065,0.00004627025,0.00008334716,0.00001809403],"domain_scores_gemma":[0.9997012,0.00008742386,0.00004591593,0.00003819211,0.0001073003,0.0000199595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002065645,0.0008712466,0.03623417,0.0006011922,0.0002734298,0.0009692003,0.0003212855,0.2715224,0.2515621,0.001762857,0.00375539,0.4300611],"study_design_scores_gemma":[0.00002674873,0.0007656086,0.01514728,0.00001093031,0.00004906566,0.0001468827,0.00002809816,0.9604447,0.02238285,0.0003380126,0.000641606,0.00001815237],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8108858,0.0004819383,0.1813369,0.0001740921,0.0001448834,0.0001452201,0.0001803945,0.002672912,0.003977831],"genre_scores_gemma":[0.9933519,0.00004315048,0.006064072,0.00001104973,0.000005984351,0.00002058109,0.00004526378,0.000008535078,0.0004493165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001196063,"threshold_uncertainty_score":0.003417671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4395666702","doi":"10.18280/mmep.110414","title":"Comparative Analysis of SVM and ANN for Machine Condition Monitoring and Fault Diagnosis in Gearboxes","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Support vector machine; Fault (geology); Computer science; Machine learning; Artificial intelligence; Engineering; Seismology; Geology","authors":[{"name":"Asaad Abdulhussein Dubaish","is_ca":false},{"name":"Alaa Abdulhady Jaber","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02170628069246851,"gpt":0.2550249273597862,"spread":0.2333186466673176,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001750154,0.0005882285,0.0007258049,0.0008907982,0.0001809617,0.0006790396,0.0003325279,0.0005588444,0.0008385374],"category_scores_gemma":[0.004765621,0.0001780837,0.0003599541,0.0004986493,0.0001769168,0.0008880241,0.0002940227,0.000361773,0.0001897965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600252,"about_ca_system_score_gemma":0.0003265291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002821639,"about_ca_topic_score_gemma":0.003107422,"domain_scores_codex":[0.9992901,0.000263705,0.00005457936,0.00008731202,0.0002544498,0.00004978857],"domain_scores_gemma":[0.9971659,0.002052746,0.0001292192,0.0001192633,0.0004899952,0.00004294044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001804768,0.000321083,0.02016283,0.000568976,0.0003046311,0.0002292255,0.000156853,0.4218675,0.01608665,0.002827332,0.001333437,0.5343367],"study_design_scores_gemma":[0.000006862335,0.0001573358,0.004057396,0.00001608277,0.00003239045,0.00003504241,0.00003533167,0.9918355,0.002949977,0.0005178683,0.0003472477,0.00000898127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6727636,0.006184845,0.3088294,0.00056668,0.0002518343,0.0001102787,0.0002563092,0.001723475,0.0093136],"genre_scores_gemma":[0.9740716,0.0007661577,0.02392902,0.00003219608,0.00003158332,0.00002802438,0.000139721,0.00003071735,0.0009709837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002821639,"threshold_uncertainty_score":0.009255826,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1524857579","doi":"10.5006/c2004-04424","title":"Testing Methods and Standards for Oil Field Corrosion Inhibitors","year":2004,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Corrosion; Oil field; Materials science; Field (mathematics); Metallurgy; Computer science; Petroleum engineering; Engineering","authors":[{"name":"Sankara Papavinasam","is_ca":true},{"name":"R. Winston Revie","is_ca":true},{"name":"Milan Bartoš","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01014066580721642,"gpt":0.2870731332394356,"spread":0.2769324674322192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01736535,0.001287388,0.00100498,0.007046682,0.001221641,0.001623062,0.003861705,0.002307071,0.003266976],"category_scores_gemma":[0.02357168,0.0007623843,0.0007550598,0.00206247,0.001569586,0.001574756,0.001619051,0.002274033,0.003278263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038313,"about_ca_system_score_gemma":0.002750042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001369494,"about_ca_topic_score_gemma":0.001925113,"domain_scores_codex":[0.9646111,0.01051213,0.003907049,0.001245425,0.01922241,0.000501988],"domain_scores_gemma":[0.9712243,0.006390885,0.003758891,0.003274418,0.01489235,0.0004592748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003080707,0.0006356297,0.004134946,0.0042236,0.00006141894,0.0002193198,0.0005152589,0.003836111,0.5990745,0.02081421,0.008857568,0.3573194],"study_design_scores_gemma":[0.0000659458,0.002158381,0.005621196,0.001598339,0.00009760091,0.0013948,0.0003935347,0.004464117,0.7527946,0.005821241,0.2254748,0.0001154235],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05616384,0.03532883,0.8481567,0.002028012,0.001560581,0.003866101,0.001477419,0.002320406,0.04909821],"genre_scores_gemma":[0.1269156,0.0226963,0.8207845,0.0008511949,0.0004527663,0.006059821,0.003135757,0.0004495617,0.01865464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01736535,"threshold_uncertainty_score":0.09183788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2761971436","doi":"10.2495/safe-v7-n2-103-112","title":"Statistical analysis of failure consequences for oil and gas pipelines","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Statistical analysis; Forensic engineering; Environmental science; Petroleum engineering; Engineering; Statistics; Environmental engineering; Mathematics","authors":[{"name":"Chiara Belvederesi","is_ca":true},{"name":"Markus R. Dann","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005946409513554729,"gpt":0.2442099865619895,"spread":0.2382635770484348,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007439395,0.000428374,0.0005512872,0.00348554,0.0004085287,0.0007577087,0.000725864,0.0005407891,0.002771399],"category_scores_gemma":[0.02559437,0.0001610403,0.001953502,0.002684534,0.0008195857,0.0008471047,0.0008166358,0.0009885762,0.0003570404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006824415,"about_ca_system_score_gemma":0.0006809864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003495814,"about_ca_topic_score_gemma":0.002865266,"domain_scores_codex":[0.9952171,0.001386977,0.00042103,0.0009839282,0.00160822,0.0003826631],"domain_scores_gemma":[0.9493915,0.03369789,0.009755792,0.003505291,0.002724765,0.0009247858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006010882,0.0001315983,0.9518453,0.00006629986,0.0005952425,0.0003477378,0.0001165433,0.02805417,0.0007769774,0.00120093,0.001242507,0.01502165],"study_design_scores_gemma":[0.00001446638,0.0006081595,0.929391,0.00001254552,0.0001756202,0.0004516116,0.0003025054,0.06524666,0.000738528,0.001772531,0.001248619,0.00003777513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854501,0.000237336,0.008691719,0.00009417786,0.00002383461,0.00008637203,0.004031063,0.0001364744,0.001248876],"genre_scores_gemma":[0.9948402,0.0000694193,0.0009066093,0.00001184495,0.00001668221,0.0000545091,0.003717919,0.00001457814,0.0003681539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007439395,"threshold_uncertainty_score":0.03934371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110189591","doi":"10.1061/(asce)hy.1943-7900.0000316","title":"Analysis of the Stability of Floating Ice Blocks","year":2011,"lang":"en","type":"article","venue":"Journal of Hydraulic Engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Stability (learning theory); Hydrology (agriculture); Geotechnical engineering; Environmental science; Geomorphology; Computer science","authors":[{"name":"Karen E. Dow Ambtman","is_ca":true},{"name":"P. M. Steffler","is_ca":true},{"name":"Faye Hicks","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0105598522961994,"gpt":0.1857004211269734,"spread":0.1751405688307739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001068241,0.0001436794,0.0001449855,0.000718938,0.0002213286,0.0001761101,0.0001766494,0.000135656,0.0007300743],"category_scores_gemma":[0.0004774331,0.00007385251,0.0001100395,0.0002447568,0.0002399844,0.0001877661,0.0001688716,0.0001361911,0.00009685516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115111,"about_ca_system_score_gemma":0.0001234201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002516044,"about_ca_topic_score_gemma":0.002271215,"domain_scores_codex":[0.999921,0.000003175236,0.00000336985,0.00001287624,0.00004214051,0.00001742663],"domain_scores_gemma":[0.9997802,0.00005661885,0.00006180166,0.00001509632,0.00006137711,0.00002479722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003826829,0.00004520036,0.05616822,0.00007397008,0.00003994506,0.0004416804,0.0002175329,0.02890024,0.8833259,0.0006612143,0.0001401013,0.02960334],"study_design_scores_gemma":[0.00001700184,0.0006537052,0.4290271,0.00001410744,0.00004104414,0.0005145012,0.0003361797,0.2296238,0.3379373,0.0004855483,0.001307653,0.00004199144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969091,0.00004915835,0.002318519,0.000005361684,0.000001575863,0.000004809355,0.00008681845,0.0000156624,0.0006090232],"genre_scores_gemma":[0.9992036,0.00003002772,0.0005098711,0.000001124187,0.000001414937,0.000002765994,0.00008339537,0.000002205813,0.0001656043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002516044,"threshold_uncertainty_score":0.005002797,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981437164","doi":"10.1108/ijqrm-01-2019-0035","title":"Reliability analysis of underground rock bolters using the renewal process, the non-homogeneous Poisson process and the Bayesian approach","year":2019,"lang":"en","type":"article","venue":"International Journal of Quality & Reliability Management","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Weibull distribution; Process (computing); Context (archaeology); Computer science; Renewal theory; Engineering; Statistics; Mathematics; Geology","authors":[{"name":"Nicolas La Roche-Carrier","is_ca":true},{"name":"Guyh Dituba Ngoma","is_ca":true},{"name":"Yaşar Kocaefe","is_ca":true},{"name":"Fouad Erchiqui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007967711367547621,"gpt":0.2760224128864524,"spread":0.2680547015189047,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300422,0.000349345,0.0003896172,0.00125068,0.0002193387,0.0006663609,0.0007061744,0.0004367955,0.001072448],"category_scores_gemma":[0.002935153,0.0002747157,0.0008476555,0.0006754073,0.0003318055,0.0005644425,0.000439374,0.0003637066,0.000179893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000597065,"about_ca_system_score_gemma":0.0006200922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004303432,"about_ca_topic_score_gemma":0.002718156,"domain_scores_codex":[0.9992562,0.0002341669,0.00003978391,0.0001182766,0.0002956,0.00005591436],"domain_scores_gemma":[0.9989986,0.0005551063,0.0001883088,0.00006191261,0.0001735257,0.00002259683],"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":[0.000063126,0.0000518603,0.01326036,0.000114527,0.00007987631,0.0002800477,0.0002565422,0.9090249,0.007776235,0.01667146,0.0004703375,0.05195085],"study_design_scores_gemma":[0.000002627977,0.00002868759,0.003901171,0.00001096975,0.00001509081,0.0000811919,0.00003757959,0.9908104,0.001053923,0.003699214,0.0003490064,0.00001022882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1356173,0.000261422,0.8619311,0.00009357528,0.000009801823,0.00005001278,0.0001013728,0.0001928101,0.001742597],"genre_scores_gemma":[0.9582314,0.0002610883,0.0398813,0.00001383727,0.00001360921,0.00007501473,0.0001433719,0.00002537864,0.001355027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004303432,"threshold_uncertainty_score":0.008556783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205517757","doi":"10.3390/ma15020560","title":"Study on the P-S-N Curve of Sucker Rod Based on Three-Parameter Weibull Distribution","year":2022,"lang":"en","type":"article","venue":"Materials","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Sucker rod; Sucker; Weibull distribution; Rod; Concentric; Structural engineering; Shape parameter; Fatigue limit; Materials science; Reliability (semiconductor); Mathematics; Composite material; Engineering; Statistics; Geometry; Physics; Anatomy","authors":[{"name":"Wenbin Cai","is_ca":false},{"name":"Wen Li","is_ca":false},{"name":"Jinze Xu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01303713806651685,"gpt":0.2117323756069752,"spread":0.1986952375404583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001152475,0.0005373056,0.0003623549,0.001635003,0.0002576504,0.0004318005,0.000914744,0.0007738302,0.001303795],"category_scores_gemma":[0.003007836,0.0002509096,0.0006948082,0.00143541,0.000504719,0.001046392,0.000309913,0.0005211162,0.0005237717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007253803,"about_ca_system_score_gemma":0.0003347049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003760921,"about_ca_topic_score_gemma":0.002361845,"domain_scores_codex":[0.9991518,0.00009578701,0.00003856697,0.0002131454,0.0004094389,0.00009113044],"domain_scores_gemma":[0.9973755,0.0009912954,0.0003712906,0.0002988164,0.0009015757,0.00006145002],"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":[0.0005429895,0.0001055097,0.04522876,0.0006461355,0.0001506431,0.00224533,0.001371352,0.5632527,0.1569145,0.01521535,0.00355334,0.2107733],"study_design_scores_gemma":[0.000008236873,0.0002830394,0.03009378,0.00005459868,0.0000505505,0.001259988,0.0002052302,0.9387267,0.02023662,0.003152358,0.005817809,0.0001111302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5935967,0.003561687,0.3860599,0.0003652139,0.00006361611,0.0000815457,0.0005245358,0.001834536,0.01391218],"genre_scores_gemma":[0.9878415,0.0005602333,0.008708001,0.00003803278,0.00001350821,0.00002139109,0.000263112,0.00009190445,0.002462334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003760921,"threshold_uncertainty_score":0.007478058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810639989","doi":"10.1007/978-3-319-74693-7_20","title":"A Rational Basis for Determining Vibration Signature of Shaft/Coupling Misalignment in Rotating Machinery","year":2018,"lang":"en","type":"book-chapter","venue":"Conference proceedings of the Society for Experimental Mechanics","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Quest University Canada","funders":"","keywords":"Vibration; Signature (topology); Basis (linear algebra); Coupling (piping); Drive shaft; Structural engineering; Physics; Engineering; Control theory (sociology); Computer science; Acoustics; Mechanical engineering; Mathematics; Geometry; Artificial intelligence","authors":[{"name":"Changrui Bai","is_ca":false},{"name":"Surendra N. Ganeriwala","is_ca":true},{"name":"Nader Sawalhı","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01531639759762011,"gpt":0.2345356179538547,"spread":0.2192192203562346,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005503648,0.0006230613,0.0005562392,0.0006901697,0.0002946769,0.0009395172,0.000897844,0.000813667,0.00392527],"category_scores_gemma":[0.0009052253,0.0004679604,0.000633833,0.0003592818,0.0008257645,0.0006887873,0.0005364034,0.0007966301,0.001601014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354512,"about_ca_system_score_gemma":0.0004547351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007893569,"about_ca_topic_score_gemma":0.001092789,"domain_scores_codex":[0.999785,0.00004083068,0.00001136386,0.00005415566,0.0000833359,0.00002534026],"domain_scores_gemma":[0.9997877,0.00008887072,0.00001976907,0.00003822019,0.00005324852,0.00001216227],"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":[0.0001874093,0.0001434717,0.002039143,0.0002457801,0.00008604275,0.0003780255,0.000253745,0.1637793,0.1869965,0.4613688,0.00506938,0.1794524],"study_design_scores_gemma":[0.000009560972,0.0000557235,0.001108565,0.00002499621,0.00002306642,0.00009005808,0.00004223828,0.8991787,0.008770822,0.08736712,0.003295468,0.00003375539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02200715,0.0004311051,0.9693601,0.0001538714,0.0001016152,0.00003945611,0.00009807818,0.0003517168,0.007456948],"genre_scores_gemma":[0.6114351,0.00108692,0.3689678,0.0001718692,0.0002033653,0.0001556483,0.0005060253,0.0004469565,0.01702642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00392527,"threshold_uncertainty_score":0.01313132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4232800508","doi":"10.1115/1.4051112","title":"An Ensemble of Recurrent Neural Networks for Real Time Performance Modeling of Three-Spool Aero-Derivative Gas Turbine Engine","year":2021,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Siemens (Canada); École de Technologie Supérieure","funders":"","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Autoregressive model; Computer science; Generalization; Weighting; MATLAB; Nonlinear system; Control theory (sociology); Control engineering; Artificial intelligence; Engineering; Mathematics","authors":[{"name":"Ibrahem M. A. Ibrahem","is_ca":true},{"name":"Ouassima Akhrif","is_ca":true},{"name":"Hany Moustapha","is_ca":true},{"name":"Martin Staniszewski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008593154951357368,"gpt":0.2140559200125297,"spread":0.2054627650611723,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000676233,0.0007792165,0.0006206965,0.0003855496,0.0002844897,0.0005411965,0.0006714471,0.0006279306,0.0005410327],"category_scores_gemma":[0.0008639659,0.0003416557,0.0007376461,0.0002595499,0.0001602595,0.0004397218,0.0003139171,0.0006816224,0.0001700143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838664,"about_ca_system_score_gemma":0.0003927333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01156862,"about_ca_topic_score_gemma":0.008191842,"domain_scores_codex":[0.9998296,0.00005056964,0.00001335855,0.000042308,0.00004319675,0.0000209393],"domain_scores_gemma":[0.999785,0.00008018272,0.00002895331,0.00001914921,0.00007472156,0.00001195734],"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":[0.00003783179,0.00003840532,0.0007551847,0.0000166927,0.00004514015,0.00004278319,0.0000200626,0.9819075,0.001756459,0.0002240089,0.0001405589,0.01501545],"study_design_scores_gemma":[4.498231e-7,0.000006865609,0.0001042487,8.0193e-7,0.00000304943,0.000001201394,0.000001245693,0.9996328,0.0001964634,0.000029355,0.00002222278,0.000001215741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4819912,0.0008490006,0.5114757,0.0002332134,0.0001159977,0.00006771577,0.0002246053,0.00124613,0.003796417],"genre_scores_gemma":[0.9867057,0.0001055241,0.01225717,0.00001401075,0.000007622419,0.00003823088,0.0001098996,0.00001683588,0.0007450613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01156862,"threshold_uncertainty_score":0.02300256,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996204213","doi":"10.1108/13552510110407087","title":"Genetic algorithms for reliability assessment of mining equipment","year":2001,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Genetic algorithm; Computer science; Algorithm; Engineering; Machine learning","authors":[{"name":"Nick Vagenas","is_ca":true},{"name":"T. Nuziale","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02228409987427662,"gpt":0.3076845387049573,"spread":0.2854004388306807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001671325,0.0009790387,0.0008949729,0.001522101,0.0004160155,0.0009659238,0.001040939,0.001318078,0.001840842],"category_scores_gemma":[0.005096604,0.0004282666,0.000716085,0.001269321,0.0006441612,0.0008486693,0.0005085054,0.001113122,0.0003942312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265165,"about_ca_system_score_gemma":0.00099225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0071875,"about_ca_topic_score_gemma":0.005593234,"domain_scores_codex":[0.9995195,0.0002471613,0.00002260369,0.00006502061,0.0001142674,0.00003144785],"domain_scores_gemma":[0.9986032,0.001067071,0.00008004786,0.00004764057,0.0001810072,0.00002102845],"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":[0.00001125627,0.00001293466,0.0002968845,0.00002791229,0.00003141039,0.00001577928,0.00002104595,0.9483482,0.0001457995,0.01485363,0.0006296909,0.03560546],"study_design_scores_gemma":[0.000006836724,0.00000892446,0.00008604833,0.00001437088,0.000007037041,0.000007451575,0.000005496208,0.9815097,0.00008797909,0.01735428,0.0009077639,0.000004170828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01017921,0.001886888,0.9828008,0.0003913989,0.00004952939,0.00006286283,0.00008350042,0.0003566163,0.004189036],"genre_scores_gemma":[0.3377286,0.002847238,0.6522561,0.0002218803,0.0001879304,0.0004423263,0.0003854626,0.0001837408,0.005746795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0071875,"threshold_uncertainty_score":0.01429129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4309879527","doi":"10.1007/s11668-022-01516-4","title":"Fatigue Fracture of Aircraft Engine Compressor Disks","year":2022,"lang":"en","type":"article","venue":"Journal of Failure Analysis and Prevention","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":10,"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","funders":"","keywords":"Gas compressor; Solid mechanics; Low-cycle fatigue; Fatigue cracking; Materials science; Fatigue testing; Fracture (geology); Turbine; Gas turbines; Structural engineering; Cracking; Engineering; Mechanical engineering; Composite material","authors":[{"name":"Ashok K. Koul","is_ca":true},{"name":"Raymond V. Dainty","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00635453727482793,"gpt":0.2267627857574891,"spread":0.2204082484826612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385522,0.0001678612,0.0003396521,0.0007203161,0.0008140738,0.0003092563,0.0007359171,0.0009579955,0.002828532],"category_scores_gemma":[0.001298563,0.0001845171,0.0001868141,0.0003040154,0.0004870438,0.0003508976,0.0002105869,0.0003741958,0.0003711446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664393,"about_ca_system_score_gemma":0.000245644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007946827,"about_ca_topic_score_gemma":0.007664105,"domain_scores_codex":[0.9998506,0.00001413291,0.000008194993,0.00002324348,0.00006663312,0.00003715814],"domain_scores_gemma":[0.9992575,0.0002592648,0.00005597804,0.00005928347,0.0003180934,0.00004985617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.009949835,0.0006402329,0.07374252,0.0004071098,0.0001159026,0.006216204,0.001199576,0.03279036,0.7832432,0.001476623,0.003147033,0.0870713],"study_design_scores_gemma":[0.0001636009,0.003315459,0.4323139,0.00008414202,0.0001015659,0.005657906,0.001603621,0.1790324,0.3717965,0.0007142328,0.005119544,0.00009706444],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984761,0.0002445019,0.0004950591,0.00003311168,0.0000114864,0.00000507404,0.000077388,0.00002002654,0.0006373302],"genre_scores_gemma":[0.9988703,0.00003698013,0.0002041044,0.000008510735,0.000003419083,0.000002735893,0.00006563231,0.000003570067,0.0008046898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007946827,"threshold_uncertainty_score":0.01580113,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2464730673","doi":"10.2316/journal.206.2016.4.206-4112","title":"A CONTROL APPROACH FOR HUMAN-MECHATRONIC-HYDRAULICCOUPLED EXOSKELETON IN OVERLOAD-CARRYING CONDITION","year":2016,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Exoskeleton; Mechatronics; Computer science; Control (management); Control engineering; Engineering; Artificial intelligence; Simulation","authors":[{"name":"Qing Guo","is_ca":false},{"name":"Yi Zhang","is_ca":false},{"name":"Dan Jiang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005740779590923214,"gpt":0.2366954247737385,"spread":0.2309546451828153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004659071,0.0007132568,0.0005405837,0.0003537708,0.0006648758,0.0008443394,0.000860676,0.0008337216,0.002928924],"category_scores_gemma":[0.0003606316,0.0002121801,0.0004352443,0.0002144405,0.0004874752,0.0004796823,0.001021451,0.0003485614,0.0003535616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669562,"about_ca_system_score_gemma":0.0005324107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003754294,"about_ca_topic_score_gemma":0.004105817,"domain_scores_codex":[0.999754,0.0000367039,0.00001808659,0.0000853292,0.00007704911,0.00002888019],"domain_scores_gemma":[0.9998492,0.00003472127,0.0000212456,0.00001210719,0.00007096465,0.00001185584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004155962,0.0003184479,0.001004256,0.001035357,0.00017161,0.0009108732,0.0009532104,0.4799473,0.2080027,0.02676293,0.002581151,0.2778966],"study_design_scores_gemma":[0.00003777958,0.0004840916,0.0006688571,0.00002748657,0.00006492245,0.0001260907,0.0001001025,0.9825612,0.009815008,0.002926689,0.003167975,0.00001981148],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01884338,0.0002640496,0.9725811,0.0001252154,0.0001098848,0.0001137301,0.00001860055,0.0002484757,0.007695638],"genre_scores_gemma":[0.9342683,0.000290049,0.05634192,0.0000972694,0.00008163969,0.000230933,0.00003559275,0.00002779972,0.008626513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003754294,"threshold_uncertainty_score":0.009798169,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1586907968","doi":"10.4271/2007-01-1070","title":"Parametric Analysis of Catalytic Converter Plugging Caused by Manganese-Based Gasoline Additives","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Gasoline; Manganese; Parametric statistics; Catalytic converter; Catalysis; Petroleum engineering; Environmental science; Automotive engineering; Process engineering; Waste management; Materials science; Computer science; Chemistry; Metallurgy; Engineering; Organic chemistry; Mathematics; Statistics","authors":[{"name":"Chiharu Shimizu","is_ca":false},{"name":"Yoshiyuki Ohtaka","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006340309078778187,"gpt":0.2231421279030577,"spread":0.2168018188242795,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003133221,0.0002973855,0.0002589431,0.0005145687,0.0001365003,0.0002584272,0.000445536,0.0002529964,0.00143745],"category_scores_gemma":[0.0009214943,0.0001707514,0.0002707196,0.0004909498,0.0002292493,0.0002438828,0.0002477596,0.0002462958,0.0001630073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102737,"about_ca_system_score_gemma":0.00008969003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009843773,"about_ca_topic_score_gemma":0.001185363,"domain_scores_codex":[0.9997528,0.00002418744,0.00001877283,0.00004810655,0.0001186856,0.00003739973],"domain_scores_gemma":[0.9992398,0.0003731901,0.0001101382,0.00009224497,0.0001597022,0.00002485248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008645148,0.000142082,0.01468348,0.0001502168,0.00004622119,0.0005634404,0.0003138306,0.01127891,0.9440759,0.0001146293,0.0002645255,0.02750225],"study_design_scores_gemma":[0.00001292907,0.0008558565,0.07693678,0.00000933995,0.00005784722,0.0002848505,0.0002495629,0.02685307,0.8938986,0.00006842524,0.0007396554,0.00003316594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971982,0.00006160732,0.001799848,0.000007873314,0.000004587342,0.00001057881,0.0001740495,0.00006808178,0.0006751274],"genre_scores_gemma":[0.9989993,0.00002806708,0.0004785486,0.000002581685,0.000001265876,0.000007696199,0.00008492483,0.000009304128,0.0003883786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00143745,"threshold_uncertainty_score":0.004808784,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388566292","doi":"10.18280/ijsse.130511","title":"Assessing Occupational Risk: A Classification of Harmful Factors in the Production Environment and Labor Process","year":2023,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Production (economics); Hazardous waste; Process (computing); Work (physics); Industrial production; Microclimate; Business; Identification (biology); Risk analysis (engineering); Occupational safety and health; Environmental science; Environmental resource management; Environmental economics; Engineering; Computer science; Waste management; Geography","authors":[{"name":"Sh. Abikenova","is_ca":false},{"name":"Gulnara Issamadiyeva","is_ca":false},{"name":"Elmira Kulmagambetova","is_ca":false},{"name":"Gulzhan Daumova","is_ca":false},{"name":"Nazgul Abdrakhmanova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01159792812497621,"gpt":0.2538532662810767,"spread":0.2422553381561005,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030714,0.001462416,0.0009739358,0.008517003,0.001921456,0.003804491,0.001241073,0.001143586,0.001121226],"category_scores_gemma":[0.005893264,0.0002413738,0.001086069,0.003104811,0.001834624,0.002401801,0.003036723,0.000947922,0.0003079608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001739579,"about_ca_system_score_gemma":0.00401068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006517369,"about_ca_topic_score_gemma":0.006139809,"domain_scores_codex":[0.9961454,0.0008540938,0.0005752328,0.000347189,0.001798893,0.0002791611],"domain_scores_gemma":[0.9952938,0.001164796,0.001389437,0.0003434739,0.001567878,0.0002404334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002679423,0.0004331893,0.5169621,0.00165385,0.0003993623,0.00116232,0.007421948,0.01606258,0.01606002,0.03610429,0.003273143,0.4001993],"study_design_scores_gemma":[0.00003807655,0.001439965,0.7719917,0.001927527,0.0008870426,0.005250857,0.02209644,0.03955033,0.008540952,0.08866417,0.05924831,0.0003646291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5208768,0.01645542,0.4068686,0.003231862,0.000490186,0.002304133,0.002081629,0.0008339399,0.04685747],"genre_scores_gemma":[0.8591932,0.003862239,0.1329618,0.0002349702,0.0001486683,0.000463482,0.001162689,0.00003243672,0.001940555],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008517003,"threshold_uncertainty_score":0.01624328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2791096214","doi":"","title":"Development of Equipment Failure Prognostic Model based on Logical Analysis of Data (LAD)","year":2012,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Risk analysis (engineering); Business","authors":[{"name":"Sasan Esmaeili","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008984716547035388,"gpt":0.1628394506623266,"spread":0.1538547341152912,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300488,0.0005052008,0.0005589357,0.001304421,0.0002377402,0.00095291,0.001098534,0.0006092048,0.001299113],"category_scores_gemma":[0.00317097,0.0003256798,0.0007304553,0.0007496107,0.0002457017,0.001000907,0.0006433872,0.0007854993,0.0005788057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008163506,"about_ca_system_score_gemma":0.001247793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007491965,"about_ca_topic_score_gemma":0.00661169,"domain_scores_codex":[0.9996029,0.00009352807,0.00003782697,0.0001191598,0.0001046435,0.00004205959],"domain_scores_gemma":[0.9991542,0.0004220996,0.0001102811,0.00006541616,0.0002170013,0.00003091898],"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":[0.00009198789,0.0001100229,0.01450623,0.0001016983,0.00008018185,0.0001088673,0.00006957397,0.8335544,0.002332178,0.007258463,0.003299833,0.1384864],"study_design_scores_gemma":[0.000002970501,0.00001910321,0.0006292647,0.000005196277,0.000008579026,0.00001607334,0.000005353718,0.9972144,0.0002694755,0.001360753,0.0004640536,0.000004821603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03205387,0.000241579,0.9636976,0.0004379615,0.00004800981,0.00009841715,0.0007415212,0.00125328,0.001427687],"genre_scores_gemma":[0.738268,0.0006189693,0.2541595,0.000259195,0.0001030634,0.0004150082,0.002122978,0.00007909663,0.003974178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007491965,"threshold_uncertainty_score":0.01489675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053167414","doi":"10.1520/jai101244","title":"Measurement of Corrosion Potentials of the Internal Surface of Operating High-Pressure Oil and Gas Pipelines","year":2008,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada; Devon Energy (Canada)","funders":"","keywords":"Pipeline transport; Corrosion; Materials science; Internal pressure; Petroleum engineering; Environmental science; Metallurgy; Composite material; Geology; Environmental engineering","authors":[{"name":"Alebachew Demoz","is_ca":true},{"name":"Sankara Papavinasam","is_ca":true},{"name":"Kirk H. Michaelian","is_ca":true},{"name":"R. Winston Revie","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008089240603051938,"gpt":0.2001168879309348,"spread":0.1920276473278828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002035038,0.0003756758,0.0002287401,0.000500568,0.0002580893,0.0003959663,0.0002670285,0.0003618656,0.0008186026],"category_scores_gemma":[0.0006252278,0.0001127524,0.0001783837,0.0004498638,0.0003109601,0.0003691349,0.0003926782,0.0005432928,0.0002864515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110979,"about_ca_system_score_gemma":0.0001577255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008759333,"about_ca_topic_score_gemma":0.0008369185,"domain_scores_codex":[0.9996087,0.0000424768,0.00001014649,0.00004272873,0.0002468775,0.0000490744],"domain_scores_gemma":[0.9994895,0.00009649339,0.00009654733,0.00003278664,0.000234823,0.00004978094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008586753,0.00002203566,0.00694145,0.00007021274,0.00001192916,0.0001242891,0.000139272,0.0005909482,0.9789842,0.000140449,0.0001891538,0.0127002],"study_design_scores_gemma":[0.000005323459,0.000405082,0.04934748,0.00001191892,0.00002126382,0.0004639476,0.0002601464,0.00399356,0.9440415,0.0001488881,0.001285339,0.00001565008],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864042,0.0002628652,0.01041167,0.00005731747,0.0000200852,0.000013743,0.0002045452,0.0001455949,0.002479981],"genre_scores_gemma":[0.9973124,0.0001255497,0.001894741,0.00001127618,0.00000462663,0.000004329512,0.00009534543,0.00001077662,0.0005409078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008759333,"threshold_uncertainty_score":0.002738535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074668057","doi":"10.1115/detc2010-29126","title":"EMD, Ranking Mutual Information and PCA Based Condition Monitoring","year":2010,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Mutual information; Condition monitoring; Ranking (information retrieval); Monotonic function; Impeller; Data mining; Computer science; Artificial intelligence; Fault (geology); Pattern recognition (psychology); Feature (linguistics); Fault detection and isolation; Information fusion; Feature extraction; Machine learning; Engineering; Mathematics","authors":[{"name":"Xiaomin Zhao","is_ca":true},{"name":"Ming J. Zuo","is_ca":true},{"name":"Tejas Patel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002361691469539282,"gpt":0.1825384536042161,"spread":0.1801767621346768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327237,0.0009542347,0.0009406691,0.002022047,0.000335214,0.001196234,0.0007533646,0.0006079157,0.001586495],"category_scores_gemma":[0.004719037,0.0003427819,0.000622245,0.002019432,0.000833755,0.001754112,0.001137672,0.0007531744,0.0005326741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643169,"about_ca_system_score_gemma":0.0005821416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001933241,"about_ca_topic_score_gemma":0.001415439,"domain_scores_codex":[0.9980108,0.0006177733,0.00009935454,0.0003299986,0.0008380059,0.0001041188],"domain_scores_gemma":[0.9986134,0.0006991371,0.0002271432,0.0001665369,0.0002490767,0.00004482357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003961362,0.0001511675,0.002986474,0.0003046744,0.0001756906,0.0001737718,0.0001071959,0.198677,0.01473946,0.02501814,0.00428221,0.752988],"study_design_scores_gemma":[0.00001033948,0.00008533217,0.002815018,0.00001136159,0.00002525028,0.0001866984,0.00001922534,0.9765561,0.00887373,0.008612415,0.002746392,0.0000581297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01322048,0.0009030355,0.9822657,0.0001888912,0.00005471836,0.00005982851,0.0002187835,0.0008946321,0.002193987],"genre_scores_gemma":[0.5284841,0.001262976,0.4645299,0.0001465887,0.0001800683,0.0002197213,0.0008311128,0.0001308612,0.004214644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002022047,"threshold_uncertainty_score":0.007019162,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311078569","doi":"10.18280/ijsse.120509","title":"Relationship Between Occupational Risk and Personal Protective Equipment on the Example of Ferroalloy Production","year":2022,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Ferroalloy; Personal protective equipment; Production (economics); Occupational exposure; Forensic engineering; Environmental health; Risk analysis (engineering); Engineering; Business; Medicine; Metallurgy; Materials science; Economics; Internal medicine","authors":[{"name":"Sh. Abikenova","is_ca":false},{"name":"Gulzhan Daumova","is_ca":false},{"name":"Aigul Kurmanbayeva","is_ca":false},{"name":"Zhanat Yesbenbetova","is_ca":false},{"name":"Diana Kazbekova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01791344649508277,"gpt":0.2278955042257952,"spread":0.2099820577307124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105321,0.0002241396,0.0002422508,0.0007960508,0.0003050088,0.0003342764,0.0001928346,0.0003038192,0.002603367],"category_scores_gemma":[0.002423088,0.00008658332,0.0003611024,0.0004120419,0.0002053405,0.000200171,0.0005130405,0.0002334884,0.0001979153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001356638,"about_ca_system_score_gemma":0.0002522615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503429,"about_ca_topic_score_gemma":0.001722907,"domain_scores_codex":[0.9995079,0.0001326383,0.00003955273,0.00005132264,0.0001857446,0.00008280444],"domain_scores_gemma":[0.9975852,0.0009812627,0.0007494827,0.0001799762,0.0003561603,0.000147975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003060864,0.0001494884,0.9773635,0.00005992877,0.00005779806,0.0008757256,0.0008886849,0.0007531691,0.004452328,0.0001264892,0.00006713239,0.01489982],"study_design_scores_gemma":[0.000002141261,0.0004982622,0.9944456,0.00001892459,0.00005653581,0.0008551498,0.000833179,0.0005455208,0.001836496,0.0001829969,0.0007146451,0.00001055919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998726,0.0001346912,0.0003761359,0.0000235481,0.000001505706,0.000005920768,0.00003297942,0.000004650913,0.000694562],"genre_scores_gemma":[0.9993063,0.0000882301,0.0002462015,0.000003987032,0.000003266153,0.000002634722,0.00003921255,0.000001190026,0.0003089891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002603367,"threshold_uncertainty_score":0.008709192,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2343564205","doi":"10.5267/j.esm.2016.1.001","title":"Campbell diagram analysis of open cracked rotor","year":2016,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Diagram; Rotor (electric); Materials science; Structural engineering; Engineering drawing; Computer science; Mechanical engineering; Engineering; Database","authors":[{"name":"Rohit Tamrakar","is_ca":false},{"name":"N.D. Mittal","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006774997904466819,"gpt":0.2310044703245135,"spread":0.2242294724200466,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001848313,0.0002112924,0.0002507795,0.001257361,0.0002569038,0.000420388,0.0004206478,0.0006291338,0.006432767],"category_scores_gemma":[0.001172506,0.0001603378,0.000158795,0.0005214327,0.0002949779,0.0005707339,0.0002106887,0.0002771856,0.0006931971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003853459,"about_ca_system_score_gemma":0.0003521135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002791535,"about_ca_topic_score_gemma":0.001852357,"domain_scores_codex":[0.9997508,0.00002028832,0.000006182604,0.00004190629,0.0001586618,0.0000221477],"domain_scores_gemma":[0.9993898,0.0001914385,0.00007912415,0.00003393656,0.0002813433,0.0000243887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005766057,0.0001050026,0.009765897,0.0006195422,0.00003309013,0.002216205,0.0008988249,0.2609529,0.4644826,0.1074984,0.01164911,0.1412018],"study_design_scores_gemma":[0.00001392647,0.0001819592,0.01023844,0.00004046146,0.00001027569,0.0007350612,0.0002383602,0.9280954,0.03730856,0.008717746,0.01435975,0.00006007533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4853173,0.001926844,0.457275,0.0003308335,0.0001814016,0.0001615149,0.001044734,0.002518991,0.05124348],"genre_scores_gemma":[0.9765756,0.0002618101,0.01605781,0.0000266574,0.00001098401,0.00002497465,0.0002281267,0.00009423321,0.006719933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006432767,"threshold_uncertainty_score":0.02151978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394624992","doi":"10.1109/reepe60449.2024.10479711","title":"Analysis of Regulatory Requirements for Providing Personal Protective Equipment to Electric Power Industry Employees in Russia, the USA and Canada","year":2024,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Electric power industry; Business; Personal protective equipment; Electric power; Power (physics); Telecommunications; Engineering; Electrical engineering; Electricity; Medicine","authors":[{"name":"О. Е. Кондратьева","is_ca":false},{"name":"Oleg A. Loktionov","is_ca":false},{"name":"Dmitry A. Miroshnichenko","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009826430695535472,"gpt":0.2342539138367491,"spread":0.2244274831412136,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003687802,0.00009506108,0.0001787058,0.002329726,0.001171845,0.001009459,0.001051237,0.0003894776,0.0008058843],"category_scores_gemma":[0.01830154,0.0001909886,0.0002632338,0.002342177,0.0005139092,0.0002005795,0.0004074139,0.0004243988,0.0001394548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006561004,"about_ca_system_score_gemma":0.01541357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5656413,"about_ca_topic_score_gemma":0.6193504,"domain_scores_codex":[0.9940467,0.0008350104,0.0005019188,0.0004236155,0.003473634,0.0007191707],"domain_scores_gemma":[0.9727042,0.008704407,0.005589671,0.000918873,0.01073247,0.001350358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001564959,0.00007930809,0.9632499,0.0001450675,0.00005891406,0.0001903631,0.002643526,0.001842623,0.002297914,0.003702415,0.002067731,0.02356564],"study_design_scores_gemma":[0.000002370459,0.00003053224,0.9942452,0.00003552685,0.00001241808,0.00006295215,0.0008371101,0.0004031094,0.000295766,0.00004370018,0.004023084,0.000008272864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881389,0.0006556063,0.0006512486,0.0004659093,0.0000156126,0.00004297921,0.001543934,0.00002316419,0.008462701],"genre_scores_gemma":[0.9967054,0.0004234028,0.0004079412,0.000112499,0.000008615532,0.00002793723,0.001185408,0.000006872663,0.00112193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4343587,"threshold_uncertainty_score":0.8738334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2527718235","doi":"10.36001/phmconf.2015.v7i1.2724","title":"A New Generic Approach to Convert FMEA in Causal Trees for the Purpose of Hydro-Generator Rotor Failure Mechanisms Identification","year":2015,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Identification (biology); Generator (circuit theory); Failure mode and effects analysis; Stator; Computer science; Reliability engineering; Fault tree analysis; Root cause; Rotor (electric); Component (thermodynamics); Root cause analysis; Data mining; Artificial intelligence; Engineering; Mechanical engineering","authors":[{"name":"Olivier Blancke","is_ca":true},{"name":"N. Amyot","is_ca":true},{"name":"C. Hudon","is_ca":true},{"name":"Mélanie Lévesque","is_ca":true},{"name":"Antoine Tahan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02529017832348318,"gpt":0.2235715828618013,"spread":0.1982814045383182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002082106,0.001415662,0.0007046866,0.003264218,0.0006694099,0.002454781,0.001745639,0.001235467,0.02148139],"category_scores_gemma":[0.007140716,0.00074848,0.003057322,0.002133669,0.0009641107,0.002385334,0.001686124,0.002284733,0.006285954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007159492,"about_ca_system_score_gemma":0.001185253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002836698,"about_ca_topic_score_gemma":0.003705622,"domain_scores_codex":[0.9988762,0.0002666617,0.0001536013,0.0002992751,0.0003331855,0.00007109145],"domain_scores_gemma":[0.9978203,0.0009374237,0.0001634507,0.0006172049,0.0004093181,0.00005236784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001483454,0.0002171327,0.00222903,0.001475596,0.0003036385,0.0008490572,0.001272512,0.07046422,0.02354977,0.2656804,0.02473999,0.6090704],"study_design_scores_gemma":[0.00007970844,0.0001788214,0.001763867,0.0004968763,0.0002297823,0.001391742,0.0003873967,0.44123,0.02008503,0.2631548,0.270871,0.0001309286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003507254,0.000040229,0.9954877,0.00003939526,0.00003178919,0.00006951585,0.0004529317,0.002475876,0.001051795],"genre_scores_gemma":[0.01266906,0.0001482084,0.9825517,0.00008627524,0.00003940123,0.0002335574,0.001398857,0.0008127624,0.002060117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02148139,"threshold_uncertainty_score":0.0718624,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4226474509","doi":"10.5267/j.msl.2022.2.004","title":"Selecting maintenance strategy in a combined cycle power plant: An AHP model utilizing BOCR technique","year":2022,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Preventive maintenance; Predictive maintenance; Reliability engineering; Proactive maintenance; Computer science; Analytic hierarchy process; Condition-based maintenance; Planned maintenance; Rank (graph theory); Reliability (semiconductor); Total productive maintenance; Plan (archaeology); Operations research; Risk analysis (engineering); Operations management; Power (physics); Production (economics); Engineering; Business; Mathematics","authors":[{"name":"Mohammad Ali Arjomandi","is_ca":false},{"name":"Behzad Mosallanezhad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006992505336940253,"gpt":0.20603834891094,"spread":0.1990458435739997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001882307,0.0006622558,0.0006491622,0.001061998,0.0005984606,0.0009952651,0.0009664965,0.0007794077,0.002017462],"category_scores_gemma":[0.002535283,0.0002934839,0.0008327013,0.0008247623,0.0003870145,0.0005671132,0.000580056,0.0008466181,0.0001270751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067842,"about_ca_system_score_gemma":0.001536908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662634,"about_ca_topic_score_gemma":0.01127906,"domain_scores_codex":[0.999188,0.0004001679,0.00004842468,0.0001038474,0.0001717718,0.00008773462],"domain_scores_gemma":[0.998315,0.001240284,0.0001229761,0.00002229012,0.0002465087,0.00005301353],"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":[0.0001060171,0.00009511344,0.00161508,0.0001358817,0.00005734535,0.0001012688,0.0002252434,0.9780484,0.001224791,0.002626788,0.0002660406,0.01549801],"study_design_scores_gemma":[0.00001446411,0.00004561092,0.0002072688,0.000007713825,0.00001106559,0.000007001528,0.00007500923,0.9985122,0.0001366308,0.0008614183,0.0001163084,0.000005313625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2384959,0.0002267661,0.7541406,0.0004341062,0.00003616011,0.0005195425,0.0003455909,0.0001773252,0.005623929],"genre_scores_gemma":[0.8900782,0.0001529381,0.1079086,0.00004994943,0.00001573592,0.0004363367,0.0001949486,0.00001257617,0.001150666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01662634,"threshold_uncertainty_score":0.03305912,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2624905986","doi":"10.5006/c2015-05473","title":"Corrosion of a Vertical Shell and Tube Heat Exchanger","year":2015,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nova Chemicals (Canada)","funders":"","keywords":"Corrosion; Heat exchanger; Materials science; Shell and tube heat exchanger; Tube (container); Metallurgy; Shell (structure); Composite material; Mechanical engineering; Engineering","authors":[{"name":"Jeffrey Xie","is_ca":true},{"name":"Katy Yazdanfar","is_ca":true},{"name":"Grant Anning","is_ca":true},{"name":"Tyler Rockwell","is_ca":true},{"name":"Aizaz Ahmed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01189519673949572,"gpt":0.2037969736745697,"spread":0.191901776935074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760691,0.000301626,0.000194021,0.0002564447,0.0002861845,0.0002460674,0.0002327698,0.0003771128,0.002165129],"category_scores_gemma":[0.0002197901,0.0001840662,0.0003085157,0.0001651635,0.000129693,0.0001964402,0.0002484676,0.0001925061,0.0005133766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656749,"about_ca_system_score_gemma":0.0001216601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001640187,"about_ca_topic_score_gemma":0.001485043,"domain_scores_codex":[0.9998543,0.00001253497,0.000007504229,0.00003172242,0.00006773499,0.00002616447],"domain_scores_gemma":[0.9998529,0.00001736552,0.00002900777,0.00001371115,0.000064049,0.00002300041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001651096,0.00003031543,0.008352058,0.00003066552,0.000007350628,0.0003833878,0.0001113248,0.0005375527,0.9842079,0.00005981865,0.0001087302,0.006005676],"study_design_scores_gemma":[0.0000120109,0.001526304,0.1421754,0.00001754044,0.00003467253,0.000874859,0.0002264105,0.01423526,0.8380473,0.00004253806,0.00278705,0.00002067548],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973346,0.0000534018,0.001625807,0.00001478475,0.000008744932,0.00001270583,0.00009318315,0.00008858598,0.0007683272],"genre_scores_gemma":[0.9944411,0.00004863468,0.001579354,0.000009489442,0.00000254914,0.000007124507,0.0001974337,0.00001563076,0.003698634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002165129,"threshold_uncertainty_score":0.007243097,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2580712357","doi":"10.5006/c2013-02118","title":"Corrosion of a Shell-and-Tube Heat Exchanger","year":2013,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nova Chemicals (Canada)","funders":"","keywords":"Shell and tube heat exchanger; Corrosion; Heat exchanger; Materials science; Tube (container); Shell (structure); Metallurgy; Composite material; Mechanical engineering; Engineering","authors":[{"name":"Jeffrey Xie","is_ca":true},{"name":"Katy Yazdanfar","is_ca":true},{"name":"Murray Butcher","is_ca":true},{"name":"Tyler Rockwell","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004615188964200362,"gpt":0.1749468823780875,"spread":0.1703316934138872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000186572,0.000299185,0.0002640598,0.0001840322,0.0002261547,0.0002426077,0.0003098843,0.0003533717,0.00150567],"category_scores_gemma":[0.00021395,0.0001545983,0.0002744727,0.0001242634,0.0001210297,0.0002311789,0.0002473055,0.0002084879,0.0003718054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872323,"about_ca_system_score_gemma":0.0001353178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001201581,"about_ca_topic_score_gemma":0.0012875,"domain_scores_codex":[0.9998418,0.00001170986,0.000009075761,0.00003257736,0.00007852922,0.00002631197],"domain_scores_gemma":[0.9998617,0.00001624254,0.00002740036,0.00001577241,0.00005373932,0.00002511661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001225089,0.00002610329,0.003031844,0.00001846545,0.000007048273,0.0002240591,0.00004282157,0.0004333211,0.9939921,0.00002475842,0.00005640638,0.002020605],"study_design_scores_gemma":[0.00001299183,0.0009036754,0.07122689,0.000007112855,0.00002288075,0.0003645323,0.0001002378,0.01464493,0.9115083,0.00001989056,0.001173271,0.00001523727],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986097,0.00003035809,0.0008702247,0.00001320202,0.000007821281,0.00001075614,0.00005706381,0.00005684796,0.0003440135],"genre_scores_gemma":[0.9965424,0.00003692622,0.00144631,0.00001005364,0.000002993388,0.000005705089,0.0001226614,0.00001127581,0.00182171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00150567,"threshold_uncertainty_score":0.00503695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2245107911","doi":"10.1109/tdei.2015.005179","title":"Strategies to maximize life of rotating machines windings","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Manitoba Hydro","funders":"","keywords":"Electromagnetic coil; Reliability (semiconductor); Reliability engineering; Engineering; Quality (philosophy); Automotive engineering; Computer science; Electrical engineering; Power (physics)","authors":[{"name":"W. McDermid","is_ca":true},{"name":"T. Black","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01642050597117335,"gpt":0.232377384285557,"spread":0.2159568783143836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009198735,0.0009978005,0.0004991997,0.001028663,0.0004722281,0.001078821,0.0008303754,0.0007108133,0.003905768],"category_scores_gemma":[0.002578429,0.0002277332,0.0002579693,0.0003335884,0.0004263653,0.001781253,0.001016813,0.0004333918,0.001593958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006940422,"about_ca_system_score_gemma":0.00060471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002705872,"about_ca_topic_score_gemma":0.0005747845,"domain_scores_codex":[0.9994535,0.0001557466,0.00003133674,0.00009378971,0.0001790468,0.00008654737],"domain_scores_gemma":[0.999186,0.0002209088,0.0001474621,0.00008084124,0.000280313,0.00008458044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006668547,0.0002357285,0.002631139,0.000947973,0.00009116223,0.000481885,0.001010129,0.1942634,0.14364,0.1626782,0.009959096,0.4833946],"study_design_scores_gemma":[0.0003482488,0.003084777,0.005742986,0.0008720052,0.0002239392,0.00209708,0.001392095,0.3854575,0.1899564,0.2506401,0.1600106,0.0001743472],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1397792,0.006263237,0.7523809,0.00233415,0.0002337765,0.000268895,0.0001061906,0.001286351,0.09734733],"genre_scores_gemma":[0.9259159,0.001980103,0.06116614,0.0004011862,0.0001272145,0.0001567217,0.00006459287,0.0002032812,0.009984744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003905768,"threshold_uncertainty_score":0.01306611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200372379","doi":"10.33423/jabe.v23i7.4867","title":"IPO Underpricing and Prospectus Readability: A Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Prospectus; Initial public offering; Business; Readability; Stock exchange; Monetary economics; Accounting; Finance; Economics; Computer science","authors":[{"name":"Christophor Sai Kit Tsui","is_ca":false},{"name":"Kevin Chi Keung Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004972010358045508,"gpt":0.1565757729240755,"spread":0.15160376256603,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001775008,0.0007343377,0.0006120297,0.003526696,0.0003679861,0.00137361,0.0006200974,0.0008663367,0.001331898],"category_scores_gemma":[0.005850684,0.0002140489,0.0006670093,0.001780604,0.000406703,0.001006594,0.000499336,0.001187833,0.0003430463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006516895,"about_ca_system_score_gemma":0.0005661041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00593234,"about_ca_topic_score_gemma":0.003637213,"domain_scores_codex":[0.9994839,0.000172037,0.00005486233,0.000112458,0.0001063645,0.00007029142],"domain_scores_gemma":[0.9953178,0.003379584,0.0004758754,0.0001330734,0.0005143416,0.0001792734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007205616,0.00167177,0.5349914,0.0001742732,0.0004339445,0.0005531702,0.0003636785,0.1885977,0.002003033,0.002821344,0.004017692,0.2636515],"study_design_scores_gemma":[0.000006490645,0.00009133967,0.03709448,0.00001763244,0.00003821708,0.00005023842,0.00008316095,0.9604367,0.0003207867,0.001646483,0.0002003924,0.00001405409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9200044,0.001319872,0.07284494,0.001158694,0.00006794472,0.0001259741,0.000845818,0.0002881404,0.003344243],"genre_scores_gemma":[0.9905084,0.0002720807,0.007686489,0.00003936811,0.00006814893,0.00003011588,0.0005045393,0.000005054938,0.0008856862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00593234,"threshold_uncertainty_score":0.01179558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2518636877","doi":"10.5220/0005921600150023","title":"A Systematic Assessment of Operational Metrics for Modeling Operator Functional State","year":2016,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval; Thales (Canada)","funders":"","keywords":"Computer science; Operator (biology)","authors":[{"name":"Jean‐François Gagnon","is_ca":true},{"name":"Olivier Gagnon","is_ca":true},{"name":"Daniel Lafond","is_ca":true},{"name":"Mark Parent","is_ca":true},{"name":"Sébastien Tremblay","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01482058113305096,"gpt":0.2378958058151845,"spread":0.2230752246821335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01839279,0.002076492,0.001632648,0.008110611,0.0008440422,0.003961779,0.001936839,0.001233659,0.0006967334],"category_scores_gemma":[0.07779413,0.0005650847,0.001400606,0.00380422,0.0008873732,0.005136856,0.001994306,0.001164576,0.0002201086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002147153,"about_ca_system_score_gemma":0.005780191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004853959,"about_ca_topic_score_gemma":0.006554173,"domain_scores_codex":[0.9826182,0.007818067,0.001998981,0.001217092,0.006013235,0.0003344199],"domain_scores_gemma":[0.9323078,0.03073244,0.008969506,0.009364691,0.01794126,0.0006842823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002884249,0.0007650378,0.1105389,0.001470249,0.0007445602,0.0001869876,0.0008551356,0.2788568,0.01495033,0.0441328,0.003773436,0.5434374],"study_design_scores_gemma":[0.00003479894,0.000957945,0.02178972,0.0005853848,0.0002851817,0.0002633988,0.0004677359,0.9397609,0.009313308,0.02258428,0.00385357,0.0001038322],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.09790915,0.001196065,0.893503,0.0004457305,0.000042347,0.0007799032,0.001326093,0.001457913,0.003339749],"genre_scores_gemma":[0.5118943,0.0005608715,0.4849288,0.00004962759,0.00002289846,0.0005105666,0.001552695,0.0001494754,0.0003307229],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01839279,"threshold_uncertainty_score":0.0972715,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3120149862","doi":"10.1115/gt2020-15756","title":"An Ensemble of Recurrent Neural Networks for Real Time Performance Modelling of Three-Spool Aero-Derivative Gas Turbine Engine","year":2020,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Siemens (Canada); École de Technologie Supérieure","funders":"","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Computer science; Autoregressive model; Generalization; MATLAB; Process (computing); Control theory (sociology); Control engineering; Artificial intelligence; Engineering; Mathematics","authors":[{"name":"Ibrahem M. A. Ibrahem","is_ca":true},{"name":"Ouassima Akhrif","is_ca":true},{"name":"Hany Moustapha","is_ca":true},{"name":"Martin Staniszewski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01921054416359242,"gpt":0.2059453294964369,"spread":0.1867347853328445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000646661,0.0007930717,0.0006322134,0.0003771015,0.0002823779,0.0005955634,0.0006965532,0.0006876827,0.0006111882],"category_scores_gemma":[0.0008792253,0.0003438957,0.0007436047,0.0002578505,0.0001743151,0.0004516287,0.0003143903,0.0007211143,0.0001874391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005106576,"about_ca_system_score_gemma":0.000404162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219627,"about_ca_topic_score_gemma":0.008374468,"domain_scores_codex":[0.9998275,0.00005082442,0.000014011,0.00004271144,0.00004331658,0.00002157627],"domain_scores_gemma":[0.999778,0.00008554701,0.00003044547,0.00001813065,0.00007613905,0.00001182514],"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":[0.0000334775,0.00003352175,0.0006669693,0.00001800837,0.00003882836,0.00004328259,0.00001948322,0.9847801,0.001465387,0.0002291174,0.0001342441,0.01253758],"study_design_scores_gemma":[4.571482e-7,0.000006781611,0.000102065,9.454092e-7,0.000002830684,0.000001320682,0.000001319141,0.9996443,0.0001815677,0.00003237403,0.00002470211,0.000001271822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4690913,0.000960199,0.5234094,0.0002583734,0.0001271081,0.00007456563,0.0002594008,0.00135563,0.004463999],"genre_scores_gemma":[0.9883732,0.0001125067,0.01052057,0.00001416336,0.000007245176,0.00003957862,0.0001101114,0.0000165993,0.0008060148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01219627,"threshold_uncertainty_score":0.02425057,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3153484358","doi":"10.1007/s12541-021-00515-z","title":"Assessment of Geometrical Features of Internal Flaws with Artificial Neural Network","year":2021,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":4,"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":"Korea Electrotechnology Research Institute","keywords":"Artificial neural network; Artificial intelligence; Computer science; Engineering; Engineering drawing; Mechanical engineering","authors":[{"name":"Salman Lari","is_ca":true},{"name":"Yanjun Qian","is_ca":true},{"name":"Hyock‐Ju Kwon","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006000986983745796,"gpt":0.2377241253667204,"spread":0.2317231383829746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005597221,0.0006103643,0.0004378961,0.001880888,0.0001515097,0.0004765956,0.000432668,0.000676525,0.0005872933],"category_scores_gemma":[0.001322554,0.0002469895,0.0005314836,0.0008252634,0.0002540132,0.0007193273,0.0003426099,0.0003026483,0.0001572198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002484321,"about_ca_system_score_gemma":0.0002658062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856354,"about_ca_topic_score_gemma":0.001994608,"domain_scores_codex":[0.9997879,0.00003153069,0.00002042263,0.00004621964,0.00008916498,0.00002483471],"domain_scores_gemma":[0.9992512,0.0002404886,0.000124345,0.00005049375,0.0003015483,0.00003199074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00119326,0.0003287269,0.07491506,0.0003815984,0.0002632583,0.000593846,0.0001450508,0.410464,0.08672245,0.001051761,0.001522407,0.4224186],"study_design_scores_gemma":[0.000008691204,0.00007722973,0.01866552,0.000008624218,0.00003715296,0.00007020877,0.00002918623,0.9758677,0.004797023,0.0002759388,0.0001440104,0.00001872781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7558609,0.000475628,0.2405427,0.00009971027,0.00005960596,0.00007258498,0.0002679434,0.0007596449,0.001861355],"genre_scores_gemma":[0.9771214,0.0001068586,0.02211624,0.00001084533,0.000009830334,0.00001243576,0.0001540889,0.00001429843,0.0004540107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001880888,"threshold_uncertainty_score":0.003691018,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3119863467","doi":"","title":"Predictive risk-based model for oil and gas pipelines","year":2013,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Pipeline transport; Petroleum engineering; Environmental science; Engineering; Environmental engineering","authors":[{"name":"Laya Parvizsedghy","is_ca":true},{"name":"Tarek Zayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005066677356477894,"gpt":0.1821283785054346,"spread":0.1770617011489568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00157168,0.001047199,0.001594967,0.000853671,0.000467015,0.001526665,0.002129452,0.002008567,0.002383651],"category_scores_gemma":[0.004594782,0.000742075,0.0009254991,0.0007731793,0.0009187498,0.0013279,0.0009440599,0.00176561,0.0003500805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533957,"about_ca_system_score_gemma":0.001445668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02498265,"about_ca_topic_score_gemma":0.01068783,"domain_scores_codex":[0.9993987,0.0001869225,0.00002711536,0.0001392132,0.0001458974,0.0001020092],"domain_scores_gemma":[0.9984566,0.0009610889,0.0001861184,0.00007270862,0.0002591882,0.0000641778],"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":[0.00001259635,0.0000042357,0.0001257632,0.000005388975,0.000004954751,0.00001349966,0.000004692451,0.99743,0.00006744578,0.001202684,0.00007428991,0.001054347],"study_design_scores_gemma":[0.000001526338,0.000002917322,0.00004243107,9.213616e-7,0.000002155904,0.000002929204,7.379593e-7,0.9990107,0.00003155134,0.0008756471,0.00002667481,0.000001856582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1425398,0.001075294,0.8468738,0.001150314,0.0001100038,0.00006913926,0.000722694,0.0009083445,0.006550539],"genre_scores_gemma":[0.9813017,0.0003193898,0.01120734,0.00006584942,0.000042074,0.00006120411,0.0003497844,0.00004813725,0.006604644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02498265,"threshold_uncertainty_score":0.04967451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3000630179","doi":"10.2316/j.2019.203-0164","title":"DISCRETE PREDICTIVE CONTROL OF A FLYWHEEL ENERGY STORAGE FOR TRANSIENT STABILITY AUGMENTATION","year":2019,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Flywheel; Transient (computer programming); Model predictive control; Flywheel energy storage; Control theory (sociology); Stability (learning theory); Energy storage; Computer science; Control (management); Engineering; Automotive engineering; Physics; Artificial intelligence; Thermodynamics; Power (physics)","authors":[{"name":"Hailiya Ahsan","is_ca":false},{"name":"Mairaj-ud-Din Mufti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003089279795941874,"gpt":0.1953905490416407,"spread":0.1923012692456988,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002235276,0.0003470848,0.0004162631,0.0001997263,0.0005483734,0.0008444529,0.0006465501,0.0003845222,0.003415975],"category_scores_gemma":[0.0003899545,0.0001763334,0.0001751881,0.0002379536,0.0004110728,0.0003379791,0.000394811,0.0004632015,0.0002036016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003538695,"about_ca_system_score_gemma":0.0004673381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00545613,"about_ca_topic_score_gemma":0.008280791,"domain_scores_codex":[0.9999288,0.00001257672,0.000004380443,0.00001754493,0.00002350359,0.00001318639],"domain_scores_gemma":[0.9998523,0.00006116224,0.00001765815,0.0000140871,0.00004413492,0.00001074234],"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":[0.001398875,0.0003221889,0.000793927,0.0004237958,0.00009703405,0.0004733533,0.0001902349,0.8045151,0.06832786,0.01151446,0.003815435,0.1081278],"study_design_scores_gemma":[0.00002540497,0.00008629172,0.0001597637,0.000005407819,0.00000905703,0.00001285503,0.000007693805,0.9956397,0.003034971,0.0005711667,0.0004433721,0.000004368456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3586631,0.001061039,0.6108566,0.0008892937,0.0007966721,0.000149975,0.0002813732,0.001491096,0.02581078],"genre_scores_gemma":[0.9956955,0.00004697127,0.002693279,0.00001757681,0.000009814918,0.00001568983,0.00001334014,0.000005200324,0.001502562],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00545613,"threshold_uncertainty_score":0.01142758,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W263738382","doi":"10.5006/c2008-08027","title":"Insights into Atlas Cell Testing for Selection of Linings for Oil and Gas Production Vessels and Tanks","year":2008,"lang":"en","type":"article","venue":"","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Encana (Canada)","funders":"","keywords":"Atlas (anatomy); Selection (genetic algorithm); Petroleum engineering; Production (economics); Oil production; Environmental science; Forensic engineering; Marine engineering; Engineering; Computer science; Geology; Artificial intelligence","authors":[{"name":"Linda G.S. Gray","is_ca":false},{"name":"Nicole DeVarennes","is_ca":false},{"name":"Blake Bloor","is_ca":true},{"name":"Michael W. O'Donoghue","is_ca":false},{"name":"Ron Graham","is_ca":false},{"name":"Ron Garrett","is_ca":false},{"name":"Vijay Datta","is_ca":false},{"name":"Bob Franke","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009842228506006696,"gpt":0.1959201111831814,"spread":0.1860778826771747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002364888,0.0003614968,0.0005608019,0.0008346889,0.0006827404,0.0008982012,0.001160554,0.0005947038,0.001472278],"category_scores_gemma":[0.003030052,0.0002790584,0.0002510419,0.000421117,0.0008239606,0.0008210983,0.0006930801,0.0005305128,0.0004388033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00063098,"about_ca_system_score_gemma":0.0007289273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002200821,"about_ca_topic_score_gemma":0.007167079,"domain_scores_codex":[0.9974872,0.0005490769,0.0001249497,0.000148761,0.001524345,0.0001656364],"domain_scores_gemma":[0.9966798,0.001325386,0.0003997247,0.0002970455,0.001173721,0.0001243483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00036178,0.00009412328,0.02372686,0.0001973672,0.00001219971,0.0007042604,0.001165779,0.004552507,0.9483348,0.0009523714,0.0006715346,0.01922647],"study_design_scores_gemma":[0.00002094466,0.001262501,0.03196812,0.00002774008,0.00003510383,0.001226479,0.00168783,0.01071455,0.9456348,0.0004487724,0.006909331,0.00006393531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808927,0.0003598373,0.0150593,0.0001566508,0.00003230454,0.00007269769,0.0001979599,0.0002731737,0.002955494],"genre_scores_gemma":[0.9875051,0.00016611,0.01117403,0.00005085931,0.000006974742,0.00001734179,0.0001204457,0.0000379317,0.0009211438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002364888,"threshold_uncertainty_score":0.0125069,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078164134","doi":"10.1006/jsvi.2000.3520","title":"DEVELOPMENT OF OPTIMALLY DISORDERED CRITICAL RANDOM EXCITATION","year":2001,"lang":"en","type":"article","venue":"Journal of Sound and Vibration","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"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":"Mathematical optimization; Principle of maximum entropy; Gaussian; Mathematics; Gaussian process; Maximization; Spectral density; Excitation; Optimization problem; Pareto principle; Electric power system; Applied mathematics; Statistical physics; Power (physics); Physics; Statistics","authors":[{"name":"S. Khajehpour","is_ca":true},{"name":"Abhijit Sarkar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009824819430227493,"gpt":0.2364114033473335,"spread":0.226586583917106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005177075,0.0005127242,0.0005806866,0.0006150631,0.0003159133,0.0005512126,0.0005544971,0.0005474156,0.002475384],"category_scores_gemma":[0.002775032,0.0004571697,0.0002491708,0.000188731,0.0008046673,0.0005739289,0.001442472,0.0005651087,0.000437295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003811662,"about_ca_system_score_gemma":0.0006218739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000550788,"about_ca_topic_score_gemma":0.0007523471,"domain_scores_codex":[0.9997864,0.00005452523,0.00001088485,0.00004465252,0.00006893799,0.0000346269],"domain_scores_gemma":[0.998948,0.000513242,0.0001299642,0.00009435757,0.0002207186,0.00009380005],"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":[0.0002162169,0.0001275607,0.002257323,0.0003335912,0.00004259047,0.0003907522,0.00028008,0.4737764,0.0579952,0.3952533,0.00252114,0.06680577],"study_design_scores_gemma":[0.00001821001,0.00008933982,0.0001708703,0.00002238878,0.00001288934,0.00008309561,0.00001952047,0.9653051,0.008677175,0.02361603,0.001973692,0.00001162108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08596785,0.0003212011,0.8958167,0.0001723198,0.00009198912,0.00008690546,0.00005706214,0.000424873,0.01706109],"genre_scores_gemma":[0.7990575,0.0003680767,0.192782,0.00009494055,0.00004423002,0.0001147668,0.000129237,0.0002019791,0.007207291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002475384,"threshold_uncertainty_score":0.008280993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3118762265","doi":"10.4203/ccp.102.201","title":"Failure Prediction Model of Oil and Gas Pipelines","year":2013,"lang":"en","type":"article","venue":"Civil-comp proceedings","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Pipeline transport; Petroleum engineering; Fossil fuel; Computer science; Environmental science; Geology; Engineering; Waste management; Environmental engineering","authors":[{"name":"Laya Parvizsedghy","is_ca":true},{"name":"Tarek Zayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004985376279006646,"gpt":0.1663857447468683,"spread":0.1614003684678616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006621463,0.00081931,0.001220504,0.0007187746,0.0004625749,0.0007740935,0.001615081,0.001441543,0.002699986],"category_scores_gemma":[0.001482634,0.0004896155,0.0008391092,0.0006445355,0.0005627085,0.0006806279,0.0004682419,0.0009173803,0.000362394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009395866,"about_ca_system_score_gemma":0.00132749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05638351,"about_ca_topic_score_gemma":0.01583758,"domain_scores_codex":[0.9997367,0.00005977265,0.00001225075,0.00008388972,0.00005285815,0.00005446874],"domain_scores_gemma":[0.9994824,0.0002453139,0.00006616766,0.000023355,0.000146493,0.00003627058],"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":[0.00001540832,0.000006454532,0.0003347701,0.000008227272,0.000006889606,0.00001914055,0.000005855526,0.9972758,0.0001391069,0.0005509273,0.0001237322,0.001513732],"study_design_scores_gemma":[0.000001112401,0.000003147188,0.00008088547,5.13183e-7,0.000001956802,0.000001798034,7.897996e-7,0.9996858,0.00002312019,0.0001838942,0.00001598182,0.000001005484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4621162,0.001231873,0.5217962,0.001143016,0.0001399827,0.00008828227,0.001188494,0.001212867,0.01108303],"genre_scores_gemma":[0.98805,0.0002514253,0.004823897,0.00003282363,0.00002512706,0.00004869633,0.0003591843,0.00002665434,0.006382168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05638351,"threshold_uncertainty_score":0.1121107,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1493770628","doi":"10.5539/mas.v9n8p204","title":"Features of Aboveground Pipeline Compensation Part Stress-Deformed Study at Permafrost","year":2015,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Pipeline transport; Pipeline (software); Permafrost; Environmental science; Piping; Stress (linguistics); Deformation (meteorology); Geotechnical engineering; Geology; Marine engineering; Mining engineering; Computer science; Engineering","authors":[{"name":"Dinar Flerovich Bikmukhametov","is_ca":false},{"name":"Gennady Evgenyevich Korobkov","is_ca":false},{"name":"Anna Pavlovna Yanchushka","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01737563872890244,"gpt":0.2323628129422455,"spread":0.2149871742133431,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001193101,0.0002059206,0.0001733255,0.0007517987,0.0003819138,0.0003554329,0.0002994504,0.0003034958,0.002292771],"category_scores_gemma":[0.0002880833,0.0001619548,0.0002328881,0.0006755218,0.0002966854,0.0003489231,0.0001905828,0.0001461768,0.0002695488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002847793,"about_ca_system_score_gemma":0.0002507264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006449398,"about_ca_topic_score_gemma":0.007523576,"domain_scores_codex":[0.9998662,0.000007840748,0.000007845049,0.00003671352,0.00005557906,0.00002582372],"domain_scores_gemma":[0.9998555,0.00001776294,0.00002683447,0.00001954856,0.00006578432,0.00001448291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008290148,0.0002900152,0.3474846,0.0005542605,0.00008594839,0.006539675,0.003242024,0.04543441,0.4168765,0.002387065,0.002367235,0.1739093],"study_design_scores_gemma":[0.000009500983,0.0005811087,0.8645933,0.00004595486,0.00006616497,0.001863658,0.002053904,0.04091694,0.08289214,0.0007064401,0.006217841,0.00005292915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925241,0.0002285257,0.0032236,0.00003089692,0.000009024463,0.00001300377,0.0003324052,0.00008277913,0.00355574],"genre_scores_gemma":[0.9986298,0.0000713242,0.0003171027,0.000003679256,0.000002009137,0.000002613291,0.0001278412,0.000006916622,0.0008386859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006449398,"threshold_uncertainty_score":0.0128237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410157187","doi":"10.3390/en18092395","title":"Analysis and Diagnosis of the Stator Turn-to-Turn Short-Circuit Faults in Wound-Rotor Synchronous Generators","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"China Scholarship Council","keywords":"Turn (biochemistry); Stator; Rotor (electric); Short circuit; Wound rotor motor; Electrical engineering; Control theory (sociology); Engineering; Computer science; Physics; Induction motor; Artificial intelligence; Voltage; Nuclear magnetic resonance","authors":[{"name":"Haotian Mao","is_ca":false},{"name":"K. Khorasani","is_ca":true},{"name":"Yingqing Guo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003676740346470709,"gpt":0.2023880217575495,"spread":0.1987112814110788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005245964,0.0006293161,0.0004904189,0.0009537161,0.0001557138,0.0004901343,0.0003949614,0.0004821791,0.0005507166],"category_scores_gemma":[0.002520937,0.0001639439,0.0002493742,0.0002874947,0.0004209918,0.0006754556,0.0003161441,0.0003113603,0.0001063488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004128111,"about_ca_system_score_gemma":0.0002820134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491369,"about_ca_topic_score_gemma":0.001217922,"domain_scores_codex":[0.9997159,0.0000649836,0.00002352255,0.00005769403,0.000114087,0.00002392061],"domain_scores_gemma":[0.9985826,0.0007529524,0.0002825317,0.00007708606,0.000264384,0.00004047054],"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":[0.0001652204,0.00004575712,0.01610337,0.0001682891,0.00005704311,0.0003714864,0.0001256701,0.8563735,0.02124298,0.003461923,0.0004082839,0.1014765],"study_design_scores_gemma":[0.000004541616,0.00004859813,0.003328496,0.000006908145,0.000008478247,0.00007005309,0.00002458696,0.9908434,0.003580129,0.001920886,0.0001571366,0.000006785852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.116608,0.0002628075,0.8818873,0.00007719102,0.00001630885,0.00004778313,0.0000649381,0.0003453479,0.0006902384],"genre_scores_gemma":[0.9656293,0.00009926093,0.03387107,0.00001421954,0.00001238112,0.00001795782,0.0000788555,0.00001275578,0.000264039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001491369,"threshold_uncertainty_score":0.002995133,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409085222","doi":"10.18280/mmep.120330","title":"Alpha Power Type II-G Family: Adding a Power Parameter of Distributions","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Power (physics); Type (biology); Mathematics; Physics; Biology; Thermodynamics","authors":[{"name":"Layla Abdul Jaleel Mohsin","is_ca":false},{"name":"Hazim Ghdhaib Kalt","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01103164307076366,"gpt":0.206642591238307,"spread":0.1956109481675434,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01554103,0.001965519,0.002093243,0.003729466,0.001232772,0.004283042,0.003616469,0.00307945,0.005587216],"category_scores_gemma":[0.05275137,0.0009353359,0.00301271,0.003706487,0.004151119,0.006152511,0.002609201,0.005052449,0.002390304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180012,"about_ca_system_score_gemma":0.00192725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002536332,"about_ca_topic_score_gemma":0.001164149,"domain_scores_codex":[0.9911607,0.00339157,0.000469885,0.002037654,0.002369644,0.0005705868],"domain_scores_gemma":[0.9572796,0.02883565,0.003244194,0.00566277,0.00421778,0.0007599896],"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":[0.0004857496,0.0001780955,0.03881821,0.0006233865,0.0005432288,0.00200892,0.001468596,0.1611459,0.004384272,0.511542,0.0126649,0.2661366],"study_design_scores_gemma":[0.00006260646,0.0004156208,0.006789986,0.0002733638,0.0001686845,0.002970045,0.000443424,0.5546733,0.002499374,0.4000022,0.03152411,0.0001773103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009904312,0.000782117,0.9853119,0.0003503026,0.0001314731,0.0001342888,0.0002282222,0.0004640276,0.002693238],"genre_scores_gemma":[0.4999724,0.004209286,0.478389,0.001343775,0.0008950632,0.001919279,0.0016072,0.000887895,0.01077615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01554103,"threshold_uncertainty_score":0.0821898,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3088252452","doi":"10.15407/pmach2020.03.037","title":"Analysis of the Static Strength of the Emergency-Cooldown Heat Exchanger with the Use of the Design Tightness Value of Flange-Joint Pins","year":2020,"lang":"en","type":"article","venue":"Problemy mašinostroeniâ/Problemy mašinostroeniâ","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Response Biomedical (Canada)","funders":"","keywords":"Flange; Heat exchanger; Joint (building); Value (mathematics); Structural engineering; Engineering; Mechanical engineering; Computer science","authors":[{"name":"Tymofii Pyrohov","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02835696925396775,"gpt":0.1934592203310346,"spread":0.1651022510770669,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000661577,0.0003412158,0.0002979431,0.0008203072,0.000163981,0.000301376,0.0004223557,0.0003204119,0.00118607],"category_scores_gemma":[0.001337008,0.0002426244,0.0003564366,0.0003846445,0.0003123013,0.0002976325,0.000218261,0.0001623859,0.0001874228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003721999,"about_ca_system_score_gemma":0.0003490169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001128483,"about_ca_topic_score_gemma":0.001181002,"domain_scores_codex":[0.9995358,0.00007658621,0.00002115899,0.00006085463,0.0002705965,0.00003498706],"domain_scores_gemma":[0.9993736,0.0002544206,0.0000912956,0.00007305473,0.0001935519,0.00001406977],"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":[0.000278877,0.00004866313,0.02629837,0.0002631711,0.00009736613,0.000414566,0.0001449545,0.7018152,0.2075569,0.004254386,0.0002688678,0.05855873],"study_design_scores_gemma":[0.00001881834,0.0005343235,0.08843379,0.00003441142,0.0001179443,0.0004862018,0.0001391312,0.6971196,0.2092269,0.0008240599,0.003024783,0.00004012523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470494,0.0001903921,0.04679943,0.00002987167,0.00001003522,0.00001871253,0.000114902,0.0001392182,0.005647927],"genre_scores_gemma":[0.9967674,0.00003416237,0.00242345,0.000003079014,0.000001659218,0.000007721582,0.00005938044,0.000007400788,0.0006957718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00118607,"threshold_uncertainty_score":0.003967822,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2232198394","doi":"10.5539/mas.v10n2p172","title":"New Flow Stabilizers as a Method to Improve the Reliability and Efficiency of Power Equipment","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Ministry of Education and Science of the Russian Federation","keywords":"Reliability (semiconductor); Flow (mathematics); Flow resistance; Pipeline (software); Turbine; Computer science; Environmental science; Power (physics); Steam turbine; Reliability engineering; Automotive engineering; Mechanical engineering; Mechanics; Engineering","authors":[{"name":"Arkadiy Zaryankin","is_ca":false},{"name":"Nikolay Rogalev","is_ca":false},{"name":"Andrey Rogalev","is_ca":false},{"name":"Anna Kocherova","is_ca":false},{"name":"Galina Kurdiukova","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00447956266160309,"gpt":0.226552257394555,"spread":0.2220726947329519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004065681,0.0004398889,0.0003046273,0.0009413913,0.000259519,0.0005078907,0.0004010214,0.0003576299,0.001454661],"category_scores_gemma":[0.0005956446,0.0001934626,0.0002783737,0.0002778608,0.000475921,0.0009094363,0.0002902889,0.0003318973,0.0002495469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002799098,"about_ca_system_score_gemma":0.0001876837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002322491,"about_ca_topic_score_gemma":0.0003909883,"domain_scores_codex":[0.9996935,0.00005980758,0.00002269512,0.00005292709,0.000151715,0.00001943092],"domain_scores_gemma":[0.9997517,0.00006861205,0.00008284162,0.00002941628,0.00005483759,0.0000125707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000465099,0.0001169986,0.001510514,0.0005405353,0.00003674928,0.0002431838,0.0002729934,0.01312365,0.8041079,0.007927737,0.001026496,0.1706281],"study_design_scores_gemma":[0.00009214929,0.002393088,0.003965061,0.0001080757,0.00013098,0.0006406239,0.00009189163,0.08561355,0.8716138,0.001843198,0.03343129,0.00007632147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3902436,0.009104548,0.5905675,0.0004337538,0.0003642428,0.0002021549,0.0001288258,0.001911807,0.007043552],"genre_scores_gemma":[0.9271196,0.001414962,0.06732393,0.00006233118,0.0001259103,0.00004630372,0.0000692929,0.00006565607,0.003772017],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001454661,"threshold_uncertainty_score":0.004866302,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059668416","doi":"10.1007/s11015-014-9949-4","title":"The Repairs Project as a Tool for Improving the Productivity of Equipment","year":2014,"lang":"en","type":"article","venue":"Metallurgist","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Productivity; Realization (probability); Manufacturing engineering; Engineering; Computer science; Systems engineering; Operations management; Mathematics","authors":[{"name":"M. Yu. Mezentsev","is_ca":true},{"name":"A. G. Shabis","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007525898563021024,"gpt":0.2205953578942758,"spread":0.2130694593312548,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003323775,0.0007251639,0.0002038565,0.001786528,0.001533756,0.001494827,0.0007041969,0.0008673242,0.006114859],"category_scores_gemma":[0.005484141,0.0002765705,0.0002752311,0.000626159,0.001075134,0.001326161,0.001772608,0.001110542,0.0008997049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008207278,"about_ca_system_score_gemma":0.004681325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003067077,"about_ca_topic_score_gemma":0.005669204,"domain_scores_codex":[0.9972599,0.001071957,0.00006229251,0.0001636622,0.001270029,0.0001722119],"domain_scores_gemma":[0.9966235,0.0009911348,0.0003558058,0.0004938019,0.0008227202,0.000713031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000884693,0.00182687,0.02090168,0.0006415116,0.0001086471,0.001482638,0.002239139,0.007106082,0.03173819,0.02901866,0.06230311,0.8417488],"study_design_scores_gemma":[0.001115136,0.01663724,0.2647511,0.001107263,0.000370037,0.007256469,0.009284516,0.03501869,0.1015552,0.02298853,0.5395467,0.0003690752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6922526,0.003142067,0.06903711,0.01244294,0.001047016,0.0009132175,0.001185666,0.005750178,0.2142291],"genre_scores_gemma":[0.9061863,0.001209218,0.04277628,0.0005431815,0.0001286693,0.0001779264,0.0005358221,0.0002892344,0.04815331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006114859,"threshold_uncertainty_score":0.02045625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072761185","doi":"10.2478/v10012-007-0067-0","title":"A discrete model of the plate heat exchanger","year":2008,"lang":"en","type":"article","venue":"Polish Maritime Research","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Heat exchanger; Correctness; Mechanical engineering; Plate heat exchanger; Mechanics; Computer science; Engineering; Physics; Algorithm","authors":[{"name":"Andrzej Mielewczyk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05319625563822027,"gpt":0.2913274160318245,"spread":0.2381311603936043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002235414,0.0006829616,0.0006110266,0.0003876417,0.0004512696,0.001346933,0.001216362,0.001258232,0.007703502],"category_scores_gemma":[0.0004273399,0.0003727928,0.000593075,0.0004530097,0.001131903,0.001028368,0.0006615978,0.001464918,0.001306571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005761113,"about_ca_system_score_gemma":0.0008346078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004285114,"about_ca_topic_score_gemma":0.001491569,"domain_scores_codex":[0.9997565,0.00004564977,0.00001314723,0.00006300707,0.0001007147,0.00002095215],"domain_scores_gemma":[0.9998176,0.00006145016,0.00002246938,0.00003785296,0.00004009452,0.00002058228],"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":[0.00007228921,0.00005981743,0.0002993334,0.0001453649,0.00001482074,0.000188013,0.0001107313,0.8273312,0.01212106,0.1506511,0.001067641,0.007938539],"study_design_scores_gemma":[0.00002666689,0.00004613747,0.0001613669,0.000008524747,0.000008604669,0.00005352765,0.00001847835,0.9773985,0.001415893,0.01589316,0.004954652,0.00001440459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02394007,0.0006154128,0.9335253,0.0004301401,0.0001742076,0.00007183064,0.0007040656,0.0004791083,0.04005979],"genre_scores_gemma":[0.8668922,0.001029947,0.08158818,0.0001495419,0.0001323091,0.0003107866,0.0008057241,0.0001152385,0.04897609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007703502,"threshold_uncertainty_score":0.02577084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2990857799","doi":"10.2495/dne-v14-n4-249-263","title":"From nature and basic scientific results to modern engineering applications","year":2019,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Engineering; Management science; Computer science; Systems engineering","authors":[{"name":"G. Rosenhouse","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003711950556049949,"gpt":0.2109316954215396,"spread":0.2072197448654896,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005602235,0.0009713055,0.001334728,0.00403005,0.001612319,0.005670892,0.001588984,0.002876337,0.01115066],"category_scores_gemma":[0.01138189,0.0005252695,0.0009502446,0.002836084,0.01791409,0.009363038,0.004239724,0.006664091,0.00437299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003756291,"about_ca_system_score_gemma":0.002078412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209268,"about_ca_topic_score_gemma":0.0004941287,"domain_scores_codex":[0.9964812,0.001413339,0.0003151974,0.0004908267,0.001121388,0.0001781523],"domain_scores_gemma":[0.9948642,0.003278552,0.0002537143,0.0007419707,0.0006702606,0.0001913836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001122323,0.00001576945,0.0001041299,0.0002589025,0.00001538302,0.00004676367,0.0002652303,0.0006395712,0.0001550411,0.9694957,0.01044108,0.01855122],"study_design_scores_gemma":[0.000003988492,0.00001154403,0.00009411211,0.0001786726,0.000002712056,0.00003446405,0.00005097353,0.0004336808,0.00006715686,0.9160628,0.08305167,0.000008185172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006853073,0.2748356,0.1638732,0.09540211,0.01366545,0.0001232848,0.0006655618,0.0006098846,0.4439719],"genre_scores_gemma":[0.3429465,0.3187119,0.1699378,0.03486522,0.03765823,0.00119653,0.001442877,0.0009018565,0.09233906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01115066,"threshold_uncertainty_score":0.03730267,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}