{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":54,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":54,"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":"d599381f24da","filters":{"venue":"Engineering Optimization"}},"results":[{"id":"W2037554984","doi":"10.1080/0305215031000097068","title":"A fuzzy-stochastic robust programming model for regional air quality management under uncertainty","year":2003,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Robustness (evolution); Fuzzy logic; Engineering; Stochastic programming; Operations research; Mathematical optimization; Reliability engineering; Risk analysis (engineering); Computer science; Mathematics","authors":[{"name":"Lei Liu","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Y. Liu","is_ca":true},{"name":"G. A. Fuller","is_ca":true},{"name":"Guangming Zeng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0268194337729226,"gpt":0.2219856133561235,"spread":0.195166179583201,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116947,0.001194394,0.001294595,0.0007694682,0.0005660563,0.001836275,0.002390979,0.002153102,0.003152386],"category_scores_gemma":[0.002537572,0.0006041836,0.001689641,0.001082038,0.001182772,0.001370622,0.001332406,0.001614087,0.0005169932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842541,"about_ca_system_score_gemma":0.002083709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149988,"about_ca_topic_score_gemma":0.007831868,"domain_scores_codex":[0.9987379,0.0005444198,0.00004844822,0.0002533996,0.0002917711,0.0001240434],"domain_scores_gemma":[0.9991597,0.0005178674,0.0001213238,0.00003401577,0.0001226175,0.00004446819],"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":[0.000008827116,0.000007830973,0.00004379049,0.0000167964,0.00001198197,0.00002615722,0.0000142579,0.9759446,0.0001545265,0.02062315,0.0001902277,0.002957797],"study_design_scores_gemma":[0.000004662439,0.00001137736,0.00002241846,0.000003532656,0.000004539018,0.000007817459,0.000004117776,0.9906887,0.00006439596,0.008740803,0.0004427026,0.000004927631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003200552,0.0001376589,0.9933923,0.0001824384,0.00001819776,0.00003126169,0.00006712326,0.00008811212,0.002882314],"genre_scores_gemma":[0.5799515,0.0008767317,0.4084921,0.0002049634,0.000133858,0.0006862707,0.0003281077,0.0001053104,0.00922112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01149988,"threshold_uncertainty_score":0.02286589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010014459","doi":"10.1080/03052150903386674","title":"Trends, features, and tests of common and recently introduced global optimization methods","year":2010,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":99,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Global optimization; Engineering optimization; Test functions for optimization; Multidisciplinary design optimization; Computer science; Benchmark (surveying); Optimization problem; Metaheuristic; Mathematical optimization; Metamodeling; Continuous optimization; Multi-swarm optimization; Multidisciplinary approach; Artificial intelligence; Algorithm; Mathematics","authors":[{"name":"Adel Younis","is_ca":true},{"name":"Zuomin Dong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00588880764381769,"gpt":0.2808619479518784,"spread":0.2749731403080606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006262373,0.0008953183,0.0009564256,0.001740355,0.0004075259,0.001911798,0.00163407,0.00109175,0.00121132],"category_scores_gemma":[0.01132858,0.0003297538,0.001009132,0.002969911,0.001235781,0.002438594,0.001232244,0.001816667,0.0002902577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000836223,"about_ca_system_score_gemma":0.0007320794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006494094,"about_ca_topic_score_gemma":0.0007242858,"domain_scores_codex":[0.9957652,0.001612215,0.0003082191,0.0005684194,0.001622554,0.0001233474],"domain_scores_gemma":[0.9940225,0.003321719,0.0005921203,0.0006662295,0.001285325,0.0001120939],"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":[0.0003686895,0.0002488146,0.00495825,0.003370479,0.0003175875,0.000214194,0.0004015951,0.1556406,0.01152565,0.1148281,0.005474858,0.7026513],"study_design_scores_gemma":[0.0001331631,0.002000437,0.01545445,0.001937637,0.0007033612,0.001719461,0.0006705879,0.6637132,0.06595347,0.08087998,0.1664661,0.0003679867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003833,0.1469279,0.7075329,0.002326292,0.000908571,0.0001818297,0.0002280148,0.0008008364,0.04071043],"genre_scores_gemma":[0.484216,0.07252544,0.4347177,0.0006543046,0.0008991568,0.0002976324,0.0005143244,0.0004963684,0.005679111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006262373,"threshold_uncertainty_score":0.03311902,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2076190763","doi":"10.1080/03052150601044831","title":"Mixed interval–fuzzy two-stage integer programming and its application to flood-diversion planning","year":2007,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Flood myth; Mathematical optimization; Interval (graph theory); Fuzzy logic; Integer programming; Computer science; Operations research; Fuzzy set; Realization (probability); Mathematics; Artificial intelligence; Statistics","authors":[{"name":"Yongping Li","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Shuke Nie","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009806484159931732,"gpt":0.2089455334380017,"spread":0.19913904927807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00203669,0.0009772959,0.0007728942,0.0005930498,0.0003725155,0.001075965,0.0008555207,0.0009069904,0.001876408],"category_scores_gemma":[0.00299083,0.0004823412,0.0009443194,0.0009149375,0.0005232136,0.0008035605,0.0007250835,0.001146634,0.0001752808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006926823,"about_ca_system_score_gemma":0.0009287458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00216777,"about_ca_topic_score_gemma":0.002138661,"domain_scores_codex":[0.9991397,0.0005288405,0.00003060997,0.00007537586,0.0001590735,0.00006637169],"domain_scores_gemma":[0.9985322,0.001141295,0.0001168835,0.00003050565,0.0001379653,0.0000412098],"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":[0.0000590806,0.00003768929,0.0002531361,0.0001098439,0.00003549235,0.00009443197,0.00005688731,0.9464964,0.0009495131,0.02037949,0.000440802,0.03108727],"study_design_scores_gemma":[0.000005135674,0.0000243888,0.00003026029,0.000006101137,0.000004545271,0.0000112553,0.000005528733,0.9959408,0.0002307332,0.003365157,0.0003720607,0.000004092529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006117814,0.0002797428,0.9912803,0.0001221567,0.00002596715,0.00003946975,0.00002377965,0.00005116414,0.002059641],"genre_scores_gemma":[0.3753307,0.0006858535,0.6209211,0.00009940643,0.00005543037,0.0003227812,0.00007478773,0.00005130575,0.002458691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00216777,"threshold_uncertainty_score":0.01077116,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1005022482","doi":"10.1080/0305215x.2015.1097099","title":"Speed limit and ramp meter control for traffic flow networks","year":2015,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Traffic control and management","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie; Deutscher Akademischer Austauschdienst","keywords":"Limit (mathematics); Speed limit; Metre; Traffic flow (computer networking); Flow (mathematics); Control (management); Computer science; Environmental science; Engineering; Transport engineering; Mathematics; Physics; Computer network; Artificial intelligence; Geometry","authors":[{"name":"Paola Goatin","is_ca":false},{"name":"Simone Göttlich","is_ca":false},{"name":"Oliver Kolb","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00812771341701554,"gpt":0.171824514994081,"spread":0.1636968015770655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000376141,0.0005075877,0.0003968878,0.0003168036,0.0002564997,0.0007606598,0.0006161227,0.0005855441,0.001975405],"category_scores_gemma":[0.0009639321,0.0002165379,0.0003413027,0.0003779475,0.0005612741,0.0006781721,0.0004926844,0.0007698162,0.0002464774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005434736,"about_ca_system_score_gemma":0.0005418866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003611905,"about_ca_topic_score_gemma":0.001920156,"domain_scores_codex":[0.9996119,0.0001095443,0.0000127018,0.00009930906,0.0001283261,0.00003819737],"domain_scores_gemma":[0.9998155,0.00007710017,0.00003955574,0.00002060502,0.00003579355,0.00001149615],"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":[0.00004709634,0.000035561,0.0002036145,0.0001013754,0.00001131254,0.00004038184,0.00004446554,0.8996194,0.007547038,0.04541337,0.0007840799,0.04615228],"study_design_scores_gemma":[0.000003569301,0.00003229687,0.0000920032,0.000005596939,0.000003019956,0.00001130218,0.00000466304,0.9918203,0.001030321,0.005492463,0.001497862,0.000006607856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0191793,0.0007036208,0.9693847,0.0001463912,0.0000937975,0.00002627551,0.00003681327,0.0002248768,0.01020419],"genre_scores_gemma":[0.9391234,0.000563511,0.05478469,0.00004293211,0.00008784918,0.00005845168,0.00007134559,0.00005910821,0.005208746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003611905,"threshold_uncertainty_score":0.007181764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006290213","doi":"10.1080/03052150802488381","title":"I-VFRP: An interval-valued fuzzy robust programming approach for municipal waste-management planning under uncertainty","year":2009,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Robustness (evolution); Fuzzy logic; Fuzzy set; Mathematical optimization; Interval (graph theory); Process (computing); Robust optimization; Computer science; Uncertainty analysis; Mathematics; Artificial intelligence; Simulation","authors":[{"name":"Yanpeng Cai","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Hongwei Lu","is_ca":true},{"name":"Z.F. Yang","is_ca":false},{"name":"Qingkun Tan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0210033912602042,"gpt":0.2248770622766719,"spread":0.2038736710164677,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002130414,0.0009613397,0.001100523,0.0006661783,0.0003418527,0.001295691,0.001684992,0.001446427,0.002157876],"category_scores_gemma":[0.003117919,0.0004278912,0.001324242,0.0007656457,0.0007849333,0.001295083,0.0008991851,0.001378039,0.0002593535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009938115,"about_ca_system_score_gemma":0.001337117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00424452,"about_ca_topic_score_gemma":0.00240652,"domain_scores_codex":[0.9988413,0.0005784354,0.00005018495,0.0001657917,0.0002892589,0.00007511945],"domain_scores_gemma":[0.999164,0.0005145685,0.00009955181,0.00003889254,0.0001565016,0.00002648965],"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":[0.00001814129,0.00001689237,0.00008294742,0.00006548242,0.00002319281,0.0000427736,0.00003958459,0.962499,0.0005348715,0.0180224,0.0003099733,0.0183448],"study_design_scores_gemma":[0.000004193673,0.00002581063,0.00002537216,0.00001220082,0.000005799629,0.00001236371,0.00000886239,0.9900777,0.0002794503,0.009037199,0.0005034258,0.000007496872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001984944,0.00007375403,0.9965579,0.00007286085,0.000008553663,0.0000162164,0.0000203016,0.00005822257,0.001207144],"genre_scores_gemma":[0.3953823,0.0004020555,0.6011597,0.0001406434,0.0000617173,0.0003145077,0.000138961,0.00009482457,0.00230534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00424452,"threshold_uncertainty_score":0.01126689,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088608661","doi":"10.1080/03052150600557742","title":"An interval-parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty","year":2006,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Stochastic programming; Mathematical optimization; Interval (graph theory); Integer programming; Context (archaeology); Linear programming; Variable (mathematics); Random variable; Integer (computer science); Computer science; Range (aeronautics); Binary number; Operations research; Mathematics; Engineering; Statistics","authors":[{"name":"Yongping Li","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Shuke Nie","is_ca":false},{"name":"X.H. Nie","is_ca":true},{"name":"Imran Maqsood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01135135008434967,"gpt":0.2106646912451428,"spread":0.1993133411607931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001625236,0.001013754,0.001239192,0.0005511304,0.0004153187,0.001414282,0.001867497,0.001517897,0.003446097],"category_scores_gemma":[0.002774861,0.0008435972,0.001194074,0.001282016,0.0008199278,0.001226103,0.0009284135,0.001907848,0.0003728113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261988,"about_ca_system_score_gemma":0.001778387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00485526,"about_ca_topic_score_gemma":0.004875991,"domain_scores_codex":[0.9990628,0.0004635502,0.00003991346,0.0001158325,0.0002085823,0.0001093147],"domain_scores_gemma":[0.9988998,0.0007651912,0.0001260444,0.00003697998,0.0001246425,0.00004726299],"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":[0.00001339824,0.000008916749,0.0000691399,0.00002109778,0.000006892761,0.00002544692,0.00001283992,0.9885737,0.0001811686,0.008741545,0.0001656497,0.00218014],"study_design_scores_gemma":[0.000003466117,0.000008739748,0.00001884233,0.000002262531,0.00000238432,0.000004211231,0.000002428649,0.9975033,0.00006212616,0.002188661,0.0002004851,0.000002945105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006808914,0.0001533545,0.9895355,0.0001469398,0.00002628351,0.00005331717,0.0001699579,0.0001365258,0.002969208],"genre_scores_gemma":[0.668927,0.000754447,0.3209581,0.0001269553,0.00006493845,0.0009260857,0.0005316932,0.0001103086,0.007600524],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00485526,"threshold_uncertainty_score":0.01152837,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034562492","doi":"10.1080/03052150903325540","title":"Metamodelling and search using space exploration and unimodal region elimination for design optimization","year":2010,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Metamodeling; Maxima and minima; Benchmark (surveying); Mathematical optimization; Computation; Reduction (mathematics); Global optimization; Kriging; Computer science; Latin hypercube sampling; Dimensionality reduction; Design space exploration; Subspace topology; Mathematics; Algorithm; Artificial intelligence; Machine learning","authors":[{"name":"Adel Younis","is_ca":true},{"name":"Zuomin Dong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04073800279990948,"gpt":0.2609161004644074,"spread":0.220178097664498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001355182,0.0008088286,0.0009029516,0.0009809653,0.0003070224,0.0004874674,0.0006080983,0.0005408014,0.001679318],"category_scores_gemma":[0.00235684,0.0003533288,0.0007958331,0.0007755303,0.0005897183,0.0008066003,0.0008087615,0.0008055001,0.0003505681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142316,"about_ca_system_score_gemma":0.0009632701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567114,"about_ca_topic_score_gemma":0.001995686,"domain_scores_codex":[0.9992779,0.0003982864,0.00002464333,0.00007046618,0.0001979427,0.00003073538],"domain_scores_gemma":[0.9990583,0.0006496666,0.00007475702,0.0001079327,0.00009435719,0.00001498128],"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":[0.00007583904,0.00004921357,0.0004757793,0.0001428246,0.00005318421,0.00003159422,0.0001012973,0.808587,0.008820185,0.02313647,0.0005888811,0.1579378],"study_design_scores_gemma":[0.00001463907,0.00006541435,0.0001024821,0.00001143124,0.000009609196,0.00002427203,0.00001139463,0.9875975,0.003535449,0.006726321,0.001891284,0.00001013509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003882505,0.0001041262,0.9953197,0.00002058904,0.000003995202,0.00001721948,0.000008535371,0.0001457063,0.0004976367],"genre_scores_gemma":[0.09536774,0.0001895664,0.9029819,0.00003842609,0.000008251352,0.0002159837,0.0000648176,0.00007792344,0.001055382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001679318,"threshold_uncertainty_score":0.007166982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2088846766","doi":"10.1080/0305215x.2012.654788","title":"Configuration optimization of dampers for adjacent buildings under seismic excitations","year":2012,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Vibration Control and Rheological Fluids","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Damper; Structural engineering; Genetic algorithm; Vibration; Coupling (piping); Engineering; Control theory (sociology); Computer science; Mathematical optimization; Mathematics; Physics; Mechanical engineering","authors":[{"name":"Kasra Bigdeli","is_ca":false},{"name":"Warren Hare","is_ca":true},{"name":"Solomon Tesfamariam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0101899872943418,"gpt":0.2058652800040325,"spread":0.1956752927096907,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002786288,0.0006324907,0.0005479679,0.0005497417,0.0003739624,0.0004688659,0.0003909244,0.0006068381,0.002061822],"category_scores_gemma":[0.0008656667,0.00039096,0.0003439426,0.0002528008,0.0003179286,0.000464786,0.0004921868,0.0003562917,0.0002879246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002770342,"about_ca_system_score_gemma":0.0004009893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001019952,"about_ca_topic_score_gemma":0.00215243,"domain_scores_codex":[0.9998642,0.00003736326,0.00000590234,0.00003010181,0.00002812988,0.00003418608],"domain_scores_gemma":[0.9998065,0.00008465839,0.00004719725,0.0000158113,0.00002195835,0.0000239824],"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":[0.0001000045,0.00007091851,0.0008875549,0.00004963623,0.0000157477,0.00008353294,0.00006661491,0.9482872,0.02155293,0.001300543,0.0001131916,0.02747206],"study_design_scores_gemma":[0.00002377222,0.0002032844,0.0009219553,0.000007963889,0.00002352082,0.00004327297,0.00006764047,0.9914375,0.005758724,0.001025043,0.0004761273,0.00001115113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5980033,0.0002510052,0.396154,0.00007675189,0.00002326104,0.00005310271,0.00004250961,0.0002933599,0.00510262],"genre_scores_gemma":[0.9647323,0.00005891909,0.03394479,0.000009130377,0.000004342287,0.00003503678,0.00002306519,0.00002288319,0.001169527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002061822,"threshold_uncertainty_score":0.006897449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1986567917","doi":"10.1080/0305215x.2010.548865","title":"Multiple yard cranes scheduling for loading operations in a container terminal","year":2011,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Group for Research in Decision Analysis; Polytechnique Montréal","funders":"","keywords":"Yard; Tabu search; Scheduling (production processes); Terminal (telecommunication); Container (type theory); Job shop scheduling; Integer programming; Engineering; Mathematical optimization; Computer science; Genetic algorithm; Operations research; Computer network; Algorithm; Mathematics; Operations management; Routing (electronic design automation)","authors":[{"name":"Lu Chen","is_ca":false},{"name":"André Langevin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02008949993488976,"gpt":0.2033534154349945,"spread":0.1832639155001048,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005498782,0.0005610975,0.00104111,0.0005596133,0.0007247675,0.001002159,0.001045779,0.0005949076,0.00325338],"category_scores_gemma":[0.0008787974,0.0004583389,0.0005864556,0.001068608,0.0003784335,0.0008015006,0.0004167708,0.000644655,0.0003135868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123036,"about_ca_system_score_gemma":0.001689016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01364567,"about_ca_topic_score_gemma":0.02266966,"domain_scores_codex":[0.9996465,0.0001215228,0.00001255603,0.00006401007,0.00007692543,0.00007843292],"domain_scores_gemma":[0.9995667,0.000196602,0.00008450363,0.00003180728,0.00004842045,0.00007198632],"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":[0.0002691353,0.0001149528,0.001136114,0.00004616532,0.00002829235,0.0001183735,0.0000406459,0.9655397,0.00593941,0.00119526,0.0003993298,0.02517254],"study_design_scores_gemma":[0.00001501447,0.00009918482,0.0004366957,0.000002380316,0.000007431686,0.0000168965,0.00003250383,0.9968174,0.001842474,0.0003970684,0.00032687,0.000006226882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7179505,0.0003093108,0.2763014,0.0001602346,0.00005282638,0.0001726882,0.0001895502,0.0003610751,0.004502426],"genre_scores_gemma":[0.9159685,0.0001574591,0.08110229,0.00001127425,0.00001236729,0.00006640117,0.0001599611,0.00004437874,0.002477383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01364567,"threshold_uncertainty_score":0.02713251,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2741906455","doi":"10.1080/0305215x.2017.1355367","title":"An interior-point method-based solver for simulation of aircraft parts riveting","year":2017,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Optimization Algorithms Research","field":"Mathematics","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Group for Research in Decision Analysis","funders":"","keywords":"Solver; Preconditioner; Convergence (economics); Interior point method; Mathematical optimization; Dimension (graph theory); Polynomial; Computer science; Point (geometry); Matrix (chemical analysis); Applied mathematics; Mathematics; Iterative method; Mathematical analysis; Geometry","authors":[{"name":"Maria Stefanova","is_ca":false},{"name":"Sergey Yakunin","is_ca":false},{"name":"Margarita Petukhova","is_ca":false},{"name":"Sergey Lupuleac","is_ca":false},{"name":"Michael Kokkolaras","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05545680474294857,"gpt":0.4031946365032644,"spread":0.3477378317603159,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006590409,0.000642598,0.00124476,0.000495792,0.0005908069,0.0007314546,0.001325048,0.001488738,0.00353668],"category_scores_gemma":[0.001497868,0.0004528046,0.0008949801,0.0006844341,0.0006881767,0.0005539187,0.001169096,0.001700393,0.0006810072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371577,"about_ca_system_score_gemma":0.001552591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003401007,"about_ca_topic_score_gemma":0.002322838,"domain_scores_codex":[0.9996916,0.0001137442,0.00001459639,0.00002827986,0.0001239,0.00002785988],"domain_scores_gemma":[0.9994478,0.0003008748,0.00005353781,0.00004296087,0.0001099727,0.00004491214],"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":[0.00002844006,0.00002807741,0.0003217266,0.00006973683,0.00001744911,0.00007320348,0.00003924141,0.9780718,0.002182411,0.008550758,0.0008710099,0.009746121],"study_design_scores_gemma":[0.000004574079,0.000004201343,0.00001646068,0.000002789675,0.000001113531,0.000008072331,0.000002553467,0.9984847,0.0002856032,0.000561864,0.0006261247,0.000001983693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007198793,0.0001364797,0.9867471,0.0001171063,0.00006579461,0.00005432481,0.00006581249,0.0003076149,0.005306901],"genre_scores_gemma":[0.2371953,0.0003778155,0.7538518,0.0001114071,0.00006915568,0.000412317,0.0003732065,0.0003082636,0.007300701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00353668,"threshold_uncertainty_score":0.01183134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974392274","doi":"10.1080/03052150902866569","title":"A fuzzy linear programming approach for municipal solid-waste management under uncertainty","year":2009,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematical optimization; Fuzzy logic; Linear programming; Interval (graph theory); Fuzzy set; Computer science; Fuzzy number; Function (biology); Mathematics; Artificial intelligence","authors":[{"name":"Yurui Fan","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Yongping Li","is_ca":false},{"name":"Maoyong Cao","is_ca":false},{"name":"Guanhui Cheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01117292142176577,"gpt":0.2154444994127348,"spread":0.2042715779909691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001177812,0.001077299,0.0008066783,0.0007832234,0.0006294384,0.001286766,0.001190266,0.001273958,0.002995209],"category_scores_gemma":[0.001645493,0.0003985894,0.0009981461,0.00127934,0.0007068393,0.001149963,0.0008792551,0.001483172,0.0004090183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001272811,"about_ca_system_score_gemma":0.001943203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004854846,"about_ca_topic_score_gemma":0.00434417,"domain_scores_codex":[0.9991473,0.0003444782,0.00003551903,0.0001164922,0.0003063025,0.00004984412],"domain_scores_gemma":[0.9995393,0.0003011679,0.00004254231,0.00001387362,0.00009132824,0.0000119084],"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":[0.00001791602,0.00003315985,0.0001006544,0.0001602308,0.00003125644,0.00007748033,0.00006837465,0.9020027,0.0011822,0.04752175,0.0007718644,0.04803248],"study_design_scores_gemma":[0.00000589755,0.00002579639,0.00002501951,0.00001757449,0.000009276185,0.00001744889,0.00001523024,0.978146,0.0004374155,0.01969675,0.001594964,0.000008664382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001176431,0.0001948354,0.9962264,0.0001065254,0.0000167934,0.00002675569,0.00002068944,0.00003876899,0.002192824],"genre_scores_gemma":[0.2330825,0.00145643,0.7583637,0.0001995776,0.0001457606,0.0005873987,0.0001413509,0.00006177188,0.005961375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004854846,"threshold_uncertainty_score":0.01002002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2016645936","doi":"10.1080/03052150412331335801","title":"Modelling and optimization of a multistage flash desalination process","year":2005,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial neural network; Desalination; Process (computing); Backpropagation; Computer science; Process engineering; Engineering; Industrial engineering; Artificial intelligence","authors":[{"name":"Khawla A. Al-Shayji","is_ca":false},{"name":"S. Al-wadyei","is_ca":false},{"name":"Ali Elkamel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0133440437446064,"gpt":0.2222463027093969,"spread":0.2089022589647905,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004192698,0.0006725252,0.0007238624,0.0003481972,0.0005098106,0.001119644,0.0005202427,0.001367427,0.001512971],"category_scores_gemma":[0.0006106092,0.0004122151,0.0006967717,0.0003993183,0.0006007935,0.0006532902,0.000541253,0.0006736135,0.0001781675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075116,"about_ca_system_score_gemma":0.00138958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810173,"about_ca_topic_score_gemma":0.009523695,"domain_scores_codex":[0.9997963,0.00005365167,0.00001201094,0.00004933906,0.00006007121,0.00002861717],"domain_scores_gemma":[0.9997997,0.0001175648,0.000024149,0.000008954125,0.00003966043,0.000009957691],"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":[0.00001066217,0.000007758209,0.0001448775,0.00001317045,0.000003536085,0.00002238661,0.000007294852,0.9979241,0.0007110407,0.0002762357,0.00002035587,0.0008585922],"study_design_scores_gemma":[0.000002284612,0.00001139651,0.0001068247,0.000001381488,0.000002008875,0.000002817479,0.000003543143,0.9993277,0.0002931106,0.0001502456,0.00009686626,0.000001821708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4558747,0.0009014928,0.5107924,0.0005291502,0.00008852057,0.000234456,0.0005796583,0.000419998,0.0305797],"genre_scores_gemma":[0.9731732,0.0003872239,0.01842148,0.00002884677,0.00001084551,0.0001996975,0.000164918,0.00002660433,0.007587309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01810173,"threshold_uncertainty_score":0.03599274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965418534","doi":"10.1080/0305215x.2019.1639691","title":"Topology optimization of the internal structure of an aircraft wing subjected to self-weight load","year":2019,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Topology Optimization in Engineering","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":"University of Victoria","funders":"","keywords":"Wing; Topology optimization; Aerodynamics; Benchmark (surveying); Topology (electrical circuits); Weight function; Structural engineering; Finite element method; Minimum weight; Control theory (sociology); Computer science; Engineering; Mathematics; Mathematical analysis","authors":[{"name":"Luís Félix","is_ca":false},{"name":"Alexandra Gomes","is_ca":false},{"name":"Afzal Suleman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.001913349437267485,"gpt":0.1762120413398878,"spread":0.1742986919026203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197754,0.0004071446,0.0003975396,0.000393412,0.0002019052,0.0004359473,0.0003467888,0.0005706648,0.001237165],"category_scores_gemma":[0.0004691712,0.0001945393,0.0003752003,0.0002232975,0.0003736143,0.0003600155,0.0004041221,0.0003173248,0.000203984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002221125,"about_ca_system_score_gemma":0.0005038386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009139638,"about_ca_topic_score_gemma":0.001171754,"domain_scores_codex":[0.9999286,0.00001868535,0.000001998754,0.000008838835,0.00003165261,0.00001018584],"domain_scores_gemma":[0.9998719,0.00005100293,0.00002082971,0.00001677287,0.00002918984,0.00001026713],"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":[0.0000134764,0.0000141699,0.0002847391,0.00002489753,0.000006630959,0.00004365795,0.00001614222,0.9808195,0.00675375,0.002655569,0.0001040609,0.009263373],"study_design_scores_gemma":[0.000003191967,0.00002711832,0.0001456218,0.000002130437,0.000002516114,0.00001850805,0.000008798875,0.9975176,0.001279696,0.0007339061,0.0002589051,0.000002197494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2487246,0.0001525199,0.7394438,0.0001275843,0.00003060351,0.0000539045,0.00006798251,0.0001875034,0.01121154],"genre_scores_gemma":[0.9065919,0.000125608,0.09080274,0.00002126796,0.00001040614,0.0000667876,0.00007812842,0.00007177136,0.00223142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001237165,"threshold_uncertainty_score":0.004138708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2023835690","doi":"10.1080/03052150108940935","title":"MULTIOBJECTIVE DESIGN OPTIMIZATION BASED ON SATISFACTION METRICS","year":2001,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Multi-objective optimization; Solver; Computer science; Pareto principle; Mathematical optimization; Context (archaeology); Implementation; Constraint satisfaction problem; Engineering design process; Mathematics; Engineering; Software engineering; Artificial intelligence; Probabilistic logic","authors":[{"name":"Li Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01440897130216926,"gpt":0.2311327433332369,"spread":0.2167237720310676,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003158402,0.001077441,0.0008652222,0.001097741,0.0003726391,0.001360922,0.0007497414,0.000650944,0.0020417],"category_scores_gemma":[0.00384886,0.0003808903,0.0009672075,0.0008629136,0.001061202,0.001196228,0.001277963,0.0009397165,0.0002700522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001412475,"about_ca_system_score_gemma":0.001128834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277042,"about_ca_topic_score_gemma":0.0008758018,"domain_scores_codex":[0.9973438,0.001326728,0.0001060183,0.000150767,0.0009421022,0.0001304965],"domain_scores_gemma":[0.9984085,0.0008809544,0.000178406,0.0001345657,0.0003382965,0.00005937484],"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":[0.00003290039,0.0000356388,0.0003033896,0.0001135469,0.0000333989,0.00003240883,0.00006778811,0.8009835,0.004364857,0.1565934,0.0005898718,0.03684923],"study_design_scores_gemma":[0.000008262209,0.00004484506,0.00006022042,0.00001429929,0.000005169638,0.00001478718,0.000009704902,0.9648975,0.001080189,0.03234258,0.001515201,0.000007276876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003963171,0.00006787691,0.9940628,0.00005584856,0.0000093355,0.00003164635,0.00001284878,0.00004253133,0.001753968],"genre_scores_gemma":[0.456864,0.0003019682,0.5386563,0.00009138381,0.00002497942,0.0004558855,0.0001295249,0.0001133558,0.003362566],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003158402,"threshold_uncertainty_score":0.01670343,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032301555","doi":"10.1080/0305215x.2013.800057","title":"Modification of DIRECT for high-dimensional design problems","year":2013,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Maxima and minima; Initialization; Subroutine; Curse of dimensionality; Mathematical optimization; Convergence (economics); Computer science; Premature convergence; Algorithm; Mathematics; Genetic algorithm; Artificial intelligence","authors":[{"name":"Arash Tavassoli","is_ca":true},{"name":"Kambiz Haji Hajikolaei","is_ca":true},{"name":"Soheil Sadeqi","is_ca":true},{"name":"G. Gary Wang","is_ca":true},{"name":"Erik Kjeang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02782976287246891,"gpt":0.23952712347067,"spread":0.2116973605982011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009649406,0.0007962359,0.0007021162,0.0004539774,0.0003071706,0.0006347537,0.001181562,0.0006882928,0.003335305],"category_scores_gemma":[0.002587979,0.0003604943,0.0005557379,0.000342168,0.0004606805,0.0005392578,0.001442178,0.0009926652,0.0007087191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277348,"about_ca_system_score_gemma":0.0006560742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007739368,"about_ca_topic_score_gemma":0.001482485,"domain_scores_codex":[0.9993808,0.000232333,0.00003630212,0.00007051694,0.0002473986,0.00003254514],"domain_scores_gemma":[0.9986089,0.0006233896,0.0001196626,0.0003112409,0.0002917203,0.00004504835],"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":[0.0002688625,0.000352572,0.003828259,0.0006416367,0.0001271062,0.0003218724,0.0002423958,0.4721876,0.04271606,0.01868375,0.004986191,0.4556436],"study_design_scores_gemma":[0.00007926062,0.0002251833,0.000711725,0.00002802412,0.00001908038,0.0003612397,0.00002838236,0.971444,0.0141382,0.002952427,0.009991772,0.00002069843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04141537,0.0002871527,0.9507151,0.00009404383,0.00006028916,0.0001424001,0.00005788642,0.0009062321,0.006321553],"genre_scores_gemma":[0.2128565,0.0001586877,0.783188,0.0001074576,0.0000224659,0.0003069906,0.0001369971,0.0002132131,0.003009851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003335305,"threshold_uncertainty_score":0.01115769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2029462000","doi":"10.1080/0305215x.2010.522709","title":"Optimal water resource planning under fixed budget by interval-parameter credibility constrained programming","year":2011,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Credibility; Interval (graph theory); Resource (disambiguation); Fuzzy logic; Budget constraint; Goal programming; Irrigation; Operations research; Water resources; Credibility theory; Computer science; Mathematical optimization; Mathematics; Economics; Microeconomics","authors":[{"name":"Yingyang Zhang","is_ca":true},{"name":"Guohe Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01487070768530327,"gpt":0.193183477774623,"spread":0.1783127700893197,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00189798,0.0008587631,0.0007223316,0.0006114265,0.000294696,0.001406953,0.0009080207,0.0008774353,0.002127259],"category_scores_gemma":[0.004136898,0.0005264404,0.0006628165,0.000864813,0.0008583937,0.001509659,0.0007913517,0.001266216,0.0001409313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143565,"about_ca_system_score_gemma":0.001464081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005905322,"about_ca_topic_score_gemma":0.002799079,"domain_scores_codex":[0.9990151,0.0004616276,0.00002900857,0.0001504681,0.0002121838,0.0001314957],"domain_scores_gemma":[0.9985846,0.0009755992,0.0001297426,0.00004911997,0.0002081181,0.00005289006],"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":[0.0000257678,0.000009714491,0.0001459082,0.00003230604,0.00001205575,0.00003753181,0.00002096898,0.9855122,0.0002928504,0.01042353,0.0001893962,0.003297691],"study_design_scores_gemma":[0.000006606029,0.00001516306,0.00004253984,0.000008580806,0.00000392607,0.000006705792,0.00001091679,0.9933376,0.0001769821,0.006211652,0.0001753423,0.000003929928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03037753,0.0002299041,0.9642798,0.0001892678,0.00001885689,0.00004839269,0.00007632824,0.00006159535,0.004718381],"genre_scores_gemma":[0.8947481,0.0003687006,0.1016886,0.00004815575,0.00001987478,0.0002129834,0.0001284964,0.00005529262,0.002729758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005905322,"threshold_uncertainty_score":0.01174194,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2071299513","doi":"10.1080/03052150701551461","title":"Coupling ant colony optimization and the extended great deluge algorithm for the discrete facility layout problem","year":2007,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ant colony optimization algorithms; Tabu search; Mathematical optimization; Metaheuristic; Heuristics; Computer science; Simulated annealing; Quadratic assignment problem; Algorithm; Genetic algorithm; Combinatorial optimization; Parallel metaheuristic; Ant colony; Meta-optimization; Mathematics","authors":[{"name":"Mustapha Nourelfath","is_ca":true},{"name":"Nabil Nahas","is_ca":true},{"name":"Benoît Montreuil","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006671249574654596,"gpt":0.2106323036794777,"spread":0.2039610541048231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008771059,0.0006902681,0.0008307165,0.0009495043,0.0004130116,0.0007124782,0.001153921,0.0007770642,0.001271608],"category_scores_gemma":[0.002461566,0.0004671875,0.0005731879,0.0009799298,0.000745874,0.0006135163,0.001083473,0.0006432778,0.000254266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006908384,"about_ca_system_score_gemma":0.0009071312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005724194,"about_ca_topic_score_gemma":0.006167296,"domain_scores_codex":[0.9994249,0.0002587005,0.00002014098,0.00006446762,0.0001807584,0.00005110358],"domain_scores_gemma":[0.9990564,0.000618273,0.00009498648,0.00007552615,0.0001077554,0.00004697502],"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":[0.00004710436,0.00003988966,0.0004514893,0.00005539504,0.00003742301,0.00005883346,0.0000523391,0.9444609,0.001369136,0.006526289,0.000668889,0.04623237],"study_design_scores_gemma":[0.00001603078,0.00003698189,0.00008703007,0.000003849304,0.00000695755,0.00003246096,0.00001070057,0.9967378,0.0003220916,0.001675468,0.001065961,0.000004718996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03289376,0.0002264427,0.9626002,0.0001118302,0.0000330543,0.00008117748,0.00001949005,0.0003708371,0.003663278],"genre_scores_gemma":[0.4612114,0.0002136483,0.535269,0.0001009046,0.00002875468,0.0002205544,0.0001008965,0.00009896641,0.002755857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005724194,"threshold_uncertainty_score":0.01138175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311129318","doi":"10.1080/0305215x.2022.2147518","title":"Improved multi-objective structural optimization with adaptive repair-based constraint handling","year":2022,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Mathematical optimization; Metaheuristic; Benchmark (surveying); Multi-objective optimization; Truss; Optimization problem; Population; Convergence (economics); Constraint (computer-aided design); Evolutionary algorithm; Pareto principle; Heuristics; Computer science; Engineering optimization; Mathematics; Engineering","authors":[{"name":"Jasmin Jelovica","is_ca":true},{"name":"Yuecheng Cai","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008933355860759627,"gpt":0.2142803334080728,"spread":0.2053469775473131,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007868598,0.0009144399,0.0008623209,0.0008544636,0.0002990544,0.000583912,0.001332448,0.001031708,0.001779601],"category_scores_gemma":[0.001654305,0.0003788095,0.001044019,0.001137426,0.0004293523,0.0006835096,0.001107529,0.0009438742,0.0003401447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004462233,"about_ca_system_score_gemma":0.0007358964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002869019,"about_ca_topic_score_gemma":0.002444443,"domain_scores_codex":[0.9995854,0.0001235276,0.00002115181,0.00006669846,0.0001634534,0.00003964277],"domain_scores_gemma":[0.9994586,0.0002571424,0.00008789105,0.00007291762,0.0001004293,0.00002293232],"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":[0.00001619666,0.00002451635,0.000196343,0.00003557233,0.00002487314,0.00002106781,0.00001994495,0.9671067,0.002304186,0.001793447,0.0002854606,0.02817158],"study_design_scores_gemma":[0.000006363649,0.0000213943,0.00006231077,0.000003294612,0.000004742702,0.00001089042,0.000003052177,0.9986526,0.0004421499,0.0004762582,0.0003142428,0.000002682974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01559395,0.0002402967,0.9813292,0.00005734718,0.00002536917,0.00003649313,0.00003149681,0.0002487404,0.002437058],"genre_scores_gemma":[0.4451569,0.0003086877,0.5505211,0.0001145988,0.00004525475,0.0002840162,0.0002376426,0.000144217,0.003187541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002869019,"threshold_uncertainty_score":0.005953312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2341743642","doi":"10.1080/0305215x.2016.1139399","title":"An enhanced fuzzy robust optimization model for regional solid waste management under uncertainty","year":2016,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Fuzzy logic; Mathematical optimization; Robust optimization; Reliability (semiconductor); Municipal solid waste; Computer science; Fuzzy set; Solid waste management; Operations research; Engineering; Mathematics; Waste management; Artificial intelligence","authors":[{"name":"Ye Xu","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Jianjie Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01439893873909349,"gpt":0.2059913872533639,"spread":0.1915924485142704,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00108069,0.0009823752,0.001084949,0.0006294834,0.0003676695,0.001367237,0.001499442,0.001511166,0.001981793],"category_scores_gemma":[0.001286891,0.0004424118,0.001274272,0.0006389265,0.0006795175,0.001188141,0.0009654165,0.001034153,0.0002365574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009536789,"about_ca_system_score_gemma":0.001189066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008610942,"about_ca_topic_score_gemma":0.004041982,"domain_scores_codex":[0.9993425,0.0002066641,0.00003188527,0.000166878,0.0001587382,0.00009331592],"domain_scores_gemma":[0.9996145,0.0001611674,0.00007931527,0.00002379876,0.00009841823,0.0000227514],"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":[0.00001106088,0.000004818133,0.0000569043,0.00001290056,0.00001059018,0.0000235403,0.000008124897,0.9941103,0.0004093503,0.003856414,0.00006620136,0.001429764],"study_design_scores_gemma":[0.00000302185,0.00001067093,0.00002631619,0.000001821056,0.000004412577,0.000005308962,0.000002929386,0.9985754,0.0001345129,0.00106791,0.0001646258,0.000003109679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02030782,0.0002446304,0.9747583,0.0001773631,0.00002587644,0.00003592513,0.00009932292,0.0001288177,0.004221922],"genre_scores_gemma":[0.9137797,0.0004215047,0.07976554,0.0000854367,0.00003568573,0.0001742553,0.0001899532,0.00005056606,0.005497308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008610942,"threshold_uncertainty_score":0.01712161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2011753924","doi":"10.1080/0305215x.2010.489608","title":"Multidisciplinary design and optimization of an air launched satellite launch vehicle using a hybrid heuristic search algorithm","year":2010,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Higher Education Commision, Pakistan; Higher Education Commission, Pakistan; U.S. Air Force; University of Windsor","keywords":"Launched; Launch vehicle; Satellite; Multidisciplinary design optimization; Heuristic; Optimization algorithm; Aerospace engineering; Engineering; Multidisciplinary approach; Computer science; Algorithm; Mathematical optimization; Mathematics; Artificial intelligence; Electrical engineering","authors":[{"name":"Amer Farhan Rafique","is_ca":false},{"name":"Linjun He","is_ca":false},{"name":"Qasim Zeeshan","is_ca":false},{"name":"Ali Kamran","is_ca":false},{"name":"Khurram Nisar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01034572741198088,"gpt":0.220223746255653,"spread":0.2098780188436721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004779805,0.0004338599,0.0004629225,0.0004892136,0.0003298447,0.0006515594,0.0004991995,0.0007573738,0.001399841],"category_scores_gemma":[0.0004903332,0.0003040513,0.0006364954,0.0002589473,0.0004549918,0.0002623159,0.0005400927,0.0003420186,0.0001468046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006544053,"about_ca_system_score_gemma":0.001006041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003297399,"about_ca_topic_score_gemma":0.00264125,"domain_scores_codex":[0.999811,0.00006924364,0.000005372637,0.0000208693,0.00006366661,0.0000298569],"domain_scores_gemma":[0.9998614,0.00006738715,0.00002058373,0.000009393772,0.000029657,0.00001149269],"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":[0.00002164463,0.00001472082,0.0001884028,0.00001619666,0.00001165562,0.00002413422,0.00001819439,0.989422,0.002296413,0.002262564,0.00006524044,0.005658779],"study_design_scores_gemma":[0.00001118052,0.00004436793,0.00006826821,0.00000344966,0.000005622709,0.000006696997,0.00001173955,0.9982634,0.000680339,0.0005416467,0.0003610138,0.000002247144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1120261,0.0001764812,0.8795393,0.0001235413,0.00002168218,0.00009925271,0.00002664402,0.0001550362,0.007831994],"genre_scores_gemma":[0.7854626,0.0001147858,0.2098739,0.00004281364,0.000008507022,0.0003345279,0.00004603276,0.00002785129,0.004089049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003297399,"threshold_uncertainty_score":0.006556392,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2065552983","doi":"10.1080/03052150802043681","title":"An interval full-infinite programming method to supporting environmental decision-making","year":2008,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Mathematical optimization; Semi-infinite programming; Computer science; Linear programming; Goal programming; Mathematics","authors":[{"name":"Li He","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Qingkun Tan","is_ca":true},{"name":"Z. F. Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006677537085082696,"gpt":0.229740025834917,"spread":0.2230624887498343,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001607291,0.0009073482,0.0007965121,0.0006068887,0.0005275581,0.001272451,0.001865405,0.000887287,0.00371579],"category_scores_gemma":[0.003267339,0.0004498248,0.00110718,0.0008476288,0.001074601,0.001568196,0.001480335,0.002323381,0.0005142312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970613,"about_ca_system_score_gemma":0.001367111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001809105,"about_ca_topic_score_gemma":0.001565252,"domain_scores_codex":[0.9991814,0.0003952163,0.00003451452,0.00009650772,0.000244159,0.00004814357],"domain_scores_gemma":[0.9987878,0.0008564387,0.00006694036,0.00006761693,0.000171144,0.00005009261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004429423,0.00005491287,0.0001830855,0.0001914769,0.00003451001,0.0001218149,0.0001426319,0.7378154,0.002236499,0.164039,0.001939531,0.09319688],"study_design_scores_gemma":[0.000005133903,0.00001681208,0.00001901134,0.00002024077,0.000004858494,0.00002019981,0.000009325689,0.9681904,0.000383392,0.02870185,0.002620928,0.000007795873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007457192,0.00007332891,0.9977661,0.00004218212,0.00001644008,0.00001057273,0.0000125056,0.00006153497,0.001271592],"genre_scores_gemma":[0.08676445,0.0004229955,0.9098579,0.00009217442,0.00006795569,0.0002635258,0.00009559629,0.00008909322,0.002346271],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00371579,"threshold_uncertainty_score":0.01243055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2081321776","doi":"10.1080/0305215x.2014.969725","title":"Aerothermal shape optimization for a double row of discrete film cooling holes on the suction surface of a turbine vane","year":2014,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Turbomachinery Performance and Optimization","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":"Concordia University","funders":"","keywords":"Aerodynamics; Suction; Turbine; Mechanics; Materials science; Conical surface; Turbine blade; Artificial neural network; Sorting; Reynolds number; Multi-objective optimization; Mechanical engineering; Control theory (sociology); Mathematics; Computer science; Mathematical optimization; Engineering; Physics; Turbulence; Algorithm","authors":[{"name":"Carole El Ayoubi","is_ca":true},{"name":"Wahid Ghaly","is_ca":true},{"name":"Ibrahim Hassan","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006760982646655945,"gpt":0.1907066655004554,"spread":0.1839456828537994,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000390468,0.0005237116,0.0008053171,0.0003634951,0.0002560567,0.0006837483,0.0004885296,0.001016331,0.001896109],"category_scores_gemma":[0.0006242364,0.000404996,0.0005068833,0.0002276907,0.0004557764,0.0002910996,0.0003827487,0.0003486066,0.0001567936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004842906,"about_ca_system_score_gemma":0.0007509441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003025439,"about_ca_topic_score_gemma":0.002893674,"domain_scores_codex":[0.9999007,0.00001945852,0.000003682997,0.00002222996,0.00002451572,0.0000293094],"domain_scores_gemma":[0.9998174,0.00009022136,0.00002631643,0.0000120106,0.00003866405,0.00001535254],"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":[0.00004747817,0.00002733487,0.0004221707,0.00003503329,0.000008242651,0.00005802912,0.00001092542,0.9894226,0.005743136,0.0005246193,0.00009908473,0.003601262],"study_design_scores_gemma":[0.00001734867,0.00008015009,0.0003057338,0.000003411156,0.000006018375,0.00001094159,0.0000140916,0.9976736,0.001560444,0.0001307181,0.0001938771,0.000003745193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8165178,0.0002323089,0.1747136,0.0001573459,0.00005392242,0.0001240882,0.0001483709,0.0001584998,0.007894118],"genre_scores_gemma":[0.9590788,0.0000521449,0.03838395,0.00002013392,0.000004525649,0.0001148604,0.00005986476,0.00002161135,0.002264012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003025439,"threshold_uncertainty_score":0.006343126,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041541726","doi":"10.1080/03052150802347959","title":"Optimization of engineering tolerance design using revised loss functions","year":2009,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Science Council; University of Windsor","keywords":"Taguchi methods; Function (biology); Quadratic equation; Loss function; Mathematical optimization; Engineering design process; Quadratic function; Mathematics; Reliability engineering; Engineering; Statistics; Mechanical engineering","authors":[{"name":"Jeh‐Nan Pan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01085404721900436,"gpt":0.1933685488479886,"spread":0.1825145016289842,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004704348,0.001416538,0.0009441355,0.001687365,0.0002851675,0.00174903,0.00155635,0.0008353613,0.0007594382],"category_scores_gemma":[0.005863151,0.0004518655,0.000929241,0.001023024,0.001096613,0.001931468,0.001245048,0.001045545,0.0002684091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146461,"about_ca_system_score_gemma":0.001254741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008134999,"about_ca_topic_score_gemma":0.0008445007,"domain_scores_codex":[0.9961097,0.001109299,0.0001993641,0.0002589318,0.002047486,0.0002751653],"domain_scores_gemma":[0.9978032,0.0007333797,0.000429432,0.0002334454,0.0007572509,0.00004337167],"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":[0.0001456522,0.00009881346,0.001016449,0.000143028,0.00003597978,0.00006498168,0.00008895616,0.8904284,0.03010223,0.01381164,0.0002892878,0.0637746],"study_design_scores_gemma":[0.00003066845,0.0002755224,0.000549277,0.00001712541,0.00002749485,0.00006482958,0.00003475416,0.978057,0.01521135,0.004383211,0.001318065,0.00003073157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06347816,0.0002522272,0.9327896,0.00007889289,0.0000215051,0.00005100527,0.00001579764,0.0001173155,0.003195462],"genre_scores_gemma":[0.7863108,0.00041176,0.2098776,0.00007825686,0.00001623582,0.0001937862,0.00009118928,0.0001078893,0.002912437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004704348,"threshold_uncertainty_score":0.02487922,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983932914","doi":"10.1080/03052150108940932","title":"A DISPATCHING ALGORITHM FOR MULTIPLE-LOAD AGVS USING A FUZZY DECISION-MAKING METHOD IN A JOB SHOP ENVIRONMENT","year":2001,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Job shop; Fuzzy logic; Interval (graph theory); Computer science; Set (abstract data type); Point (geometry); Algorithm; Fuzzy set; Mathematical optimization; Flow shop scheduling; Operations research; Engineering; Job shop scheduling; Artificial intelligence; Mathematics; Routing (electronic design automation)","authors":[{"name":"Dae B. Kim","is_ca":false},{"name":"Hark Hwang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01112933633484393,"gpt":0.2538937839019192,"spread":0.2427644475670753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00158524,0.000735847,0.0009052852,0.0006384221,0.00088783,0.0008381574,0.001104362,0.0009544934,0.001745288],"category_scores_gemma":[0.001692496,0.000439766,0.0005170868,0.0004531002,0.0006073044,0.0006531564,0.0004656904,0.0006800493,0.0002232337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140097,"about_ca_system_score_gemma":0.001429478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007556046,"about_ca_topic_score_gemma":0.003535055,"domain_scores_codex":[0.9995145,0.0001596231,0.00003028919,0.00009849966,0.000123277,0.00007386583],"domain_scores_gemma":[0.9991783,0.0004480317,0.00007601607,0.00002851595,0.0001931993,0.00007591226],"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":[0.0001387594,0.00007674571,0.0004472153,0.00005155609,0.00002689407,0.00009465106,0.0001165054,0.9318507,0.003515188,0.005192907,0.0006225699,0.05786625],"study_design_scores_gemma":[0.00001972351,0.00001883507,0.00003965476,0.000002404505,0.000003438709,0.000006694416,0.000007659493,0.998368,0.0004609383,0.0009382631,0.0001305858,0.000003909304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03939162,0.00004871245,0.9591014,0.00009551243,0.00002718101,0.00007758185,0.00002286702,0.0001695085,0.001065594],"genre_scores_gemma":[0.5940673,0.00005094379,0.4041569,0.00004895372,0.00001959175,0.0001610886,0.00004547311,0.00003367525,0.001416115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007556046,"threshold_uncertainty_score":0.01502413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2953920677","doi":"10.1080/0305215x.2019.1624739","title":"A planning approach for polymetallic mines using a sublevel stoping technique with pillars and ultimate stope limits","year":2019,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stoping; Engineering; Plan (archaeology); Linear programming; Integer programming; Mining engineering; Copper mine; Mathematical optimization; Geology; Mathematics; Copper","authors":[{"name":"Yuksel Asli Sari","is_ca":true},{"name":"Mustafa Kumral","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0158471006877682,"gpt":0.2035719441289929,"spread":0.1877248434412247,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004999621,0.0009156779,0.0007303384,0.0007963242,0.0005682852,0.00105674,0.001122122,0.0008396723,0.004674436],"category_scores_gemma":[0.0006748002,0.0008219798,0.001002591,0.0009860684,0.0005533031,0.001027568,0.0009187208,0.0009707018,0.0004091123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000933863,"about_ca_system_score_gemma":0.002453289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007005301,"about_ca_topic_score_gemma":0.01286102,"domain_scores_codex":[0.9996685,0.00007853403,0.00001425217,0.00009222102,0.00009072392,0.0000557336],"domain_scores_gemma":[0.9997512,0.0001190569,0.00004207521,0.00001845949,0.00004689663,0.00002237009],"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":[0.00003384311,0.00004357464,0.0005381029,0.0001990928,0.00002504418,0.0001757184,0.0001057414,0.9267952,0.004761224,0.0183872,0.0009466093,0.04798864],"study_design_scores_gemma":[0.0000158628,0.0001085711,0.0003594923,0.00002218911,0.00001677556,0.00008939216,0.00009558394,0.9821351,0.001868375,0.01054609,0.004725374,0.00001731904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01141055,0.000176408,0.9827111,0.0001553756,0.00001394828,0.000105696,0.0001096471,0.0001353308,0.005181919],"genre_scores_gemma":[0.3014082,0.0005882356,0.6903691,0.00007203637,0.00001776919,0.0004109328,0.0002501055,0.00009275411,0.006790941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007005301,"threshold_uncertainty_score":0.01563752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2946590177","doi":"10.1080/0305215x.2019.1608979","title":"A genetic-algorithm-aided fuzzy chance-constrained programming model for municipal solid waste management","year":2019,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China","keywords":"Mathematical optimization; Fuzzy logic; Genetic algorithm; Municipal solid waste; Programming paradigm; Computer science; Membership function; Fuzzy set; Engineering; Mathematics; Artificial intelligence; Waste management","authors":[{"name":"Ye Xu","is_ca":false},{"name":"Xin Liu","is_ca":false},{"name":"Xiao-guang Hu","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Na Meng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008415350133882933,"gpt":0.2133936749581744,"spread":0.2049783248242915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005547735,0.0009405024,0.0009024991,0.000652208,0.0005845752,0.00102877,0.001342276,0.001538061,0.002101112],"category_scores_gemma":[0.0009895477,0.0004564073,0.001021907,0.001192955,0.0006454724,0.0006774292,0.0006914545,0.000980117,0.0002012253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070173,"about_ca_system_score_gemma":0.002546758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271074,"about_ca_topic_score_gemma":0.0138463,"domain_scores_codex":[0.999714,0.00009390689,0.00001117517,0.00004734855,0.00008572144,0.00004782879],"domain_scores_gemma":[0.9997453,0.0001437353,0.00003052291,0.000007610416,0.00005794634,0.00001488277],"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":[0.000004094353,0.000004307015,0.00006115082,0.000009749538,0.000004881037,0.00001649474,0.000005488086,0.9961064,0.0001120267,0.002009276,0.00007865892,0.001587332],"study_design_scores_gemma":[0.000002710991,0.000006999568,0.00002366358,0.000002191988,0.000002522436,0.000004071473,0.000002573961,0.9988135,0.00006121831,0.000924418,0.0001537094,0.000002467376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01880244,0.0003368944,0.9726658,0.0002126195,0.00004741487,0.00008593999,0.0001255464,0.0001258987,0.007597458],"genre_scores_gemma":[0.8108603,0.0007160304,0.180095,0.0001183506,0.00004252862,0.0006923492,0.0002690715,0.00006420381,0.007142171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02271074,"threshold_uncertainty_score":0.04515707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2678125426","doi":"10.1080/0305215x.2017.1317765","title":"An interval programming model for continuous improvement in micro-manufacturing","year":2017,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Fundamental Research Funds for the Central Universities; Ministry of Science ICT and Future Planning; Nanjing University of Aeronautics and Astronautics; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Interval (graph theory); Machining; Preference; Quality (philosophy); Mathematical optimization; Process (computing); Industrial engineering; Computer science; Set (abstract data type); Goal programming; Engineering; Operations research; Mechanical engineering; Mathematics; Statistics","authors":[{"name":"Linhan Ouyang","is_ca":false},{"name":"Yizhong Ma","is_ca":false},{"name":"Jianjun Wang","is_ca":false},{"name":"Yiliu Tu","is_ca":true},{"name":"Jai‐Hyun Byun","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009130510723785684,"gpt":0.2242856106007938,"spread":0.2151550998770081,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135086,0.001593416,0.001451138,0.0007575123,0.0004950818,0.002248222,0.002560464,0.002055753,0.005128977],"category_scores_gemma":[0.002534429,0.0006147332,0.001468143,0.00156471,0.0008728082,0.001484443,0.000988313,0.002607336,0.0005644358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001728534,"about_ca_system_score_gemma":0.001690142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006340818,"about_ca_topic_score_gemma":0.004247416,"domain_scores_codex":[0.998779,0.0005470897,0.00005010307,0.0002245534,0.0002588437,0.0001403809],"domain_scores_gemma":[0.9987401,0.0008665394,0.0001409903,0.00003598925,0.00016236,0.00005397065],"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":[0.0000302156,0.0000506354,0.0001415064,0.00009542383,0.00002654713,0.00005408291,0.00005275975,0.9526737,0.0003731379,0.03717787,0.0004975735,0.008826513],"study_design_scores_gemma":[0.000007394407,0.00002682879,0.0000361698,0.000007469515,0.000007371539,0.000006677762,0.000007781488,0.9923878,0.00007629135,0.006942215,0.0004875028,0.000006634534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005461739,0.0006002567,0.9876088,0.0002207697,0.00005031882,0.00005464359,0.00009019934,0.00008267501,0.005830627],"genre_scores_gemma":[0.7157465,0.002802652,0.2647531,0.0002035812,0.000147471,0.0009567981,0.0003744421,0.0001006166,0.01491484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006340818,"threshold_uncertainty_score":0.01715815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220912314","doi":"10.1080/0305215x.2022.2044030","title":"Simulation-based optimization of pump scheduling for drinking water distribution systems","year":2022,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water Systems and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Scheduling (production processes); Computer science; Grid; Sizing; Meta heuristic; Benchmark (surveying); Schematic; Engineering; Mathematics","authors":[{"name":"Roberto Cantu-Funes","is_ca":true},{"name":"Leandro C. Coelho","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007937142143298012,"gpt":0.1897989032275559,"spread":0.1818617610842579,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007343045,0.0007259563,0.0009171412,0.0005732671,0.0003766235,0.0007571948,0.0005400438,0.0008779617,0.002415799],"category_scores_gemma":[0.001838755,0.0005480474,0.0006794501,0.0006758947,0.0005510293,0.0004430596,0.0005715248,0.0007379146,0.0001413794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253083,"about_ca_system_score_gemma":0.001832278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01827568,"about_ca_topic_score_gemma":0.0146034,"domain_scores_codex":[0.9996653,0.000188697,0.000009958186,0.00002969941,0.00004866805,0.00005772413],"domain_scores_gemma":[0.9988741,0.0008749473,0.00007956065,0.00002876897,0.00008698452,0.00005554224],"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":[0.00001022106,0.000004895404,0.00005821239,0.000005529204,0.00000332774,0.000003289952,0.000001849305,0.999068,0.0000584903,0.0002601088,0.00003426386,0.0004918827],"study_design_scores_gemma":[0.000003699675,0.000005078672,0.00002899338,9.274671e-7,0.000001188452,6.120229e-7,0.000001780783,0.999643,0.00005707559,0.0001857403,0.00007129396,7.609661e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3408916,0.001145286,0.6294379,0.000972274,0.0001815051,0.0002289832,0.000637683,0.0006203119,0.02588447],"genre_scores_gemma":[0.9672267,0.0002625195,0.02962278,0.00005187381,0.0000158349,0.0001117709,0.0001934749,0.00004395463,0.00247114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01827568,"threshold_uncertainty_score":0.03633863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072689562","doi":"10.1080/03052150902971708","title":"IFQP: A hybrid optimization method for filter management in fluid power systems under uncertainty","year":2009,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Interval (graph theory); Fuzzy logic; Linearization; Mathematical optimization; Filter (signal processing); Control theory (sociology); Piecewise linear function; Piecewise; Linear programming; Nonlinear system; Control (management); Engineering; Computer science; Mathematics","authors":[{"name":"Songlin Nie","is_ca":false},{"name":"Yongping Li","is_ca":false},{"name":"Zhihua Xiong","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Bo Hu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007023882154849879,"gpt":0.2083179528643486,"spread":0.2012940707094987,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254679,0.0009173999,0.001035692,0.0005030684,0.0004123606,0.000774116,0.001103138,0.0008473373,0.002893323],"category_scores_gemma":[0.001602263,0.0003838769,0.0007257385,0.0005078461,0.0004674557,0.0008156679,0.0006585063,0.001092701,0.0003808692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006161803,"about_ca_system_score_gemma":0.001056225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0060367,"about_ca_topic_score_gemma":0.003199594,"domain_scores_codex":[0.9995915,0.0001854428,0.00001602543,0.00004827001,0.0001240073,0.00003473106],"domain_scores_gemma":[0.9994608,0.0003328385,0.00004380526,0.00001561728,0.0001296788,0.00001726095],"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":[0.0000256939,0.00001840447,0.0001136294,0.00008722168,0.00002648793,0.00002682458,0.00003338943,0.94969,0.0008591732,0.007823984,0.0008736113,0.04042156],"study_design_scores_gemma":[0.000002799463,0.000009636016,0.00001731556,0.000003789487,0.000002278191,0.000004276463,0.000002215356,0.9982929,0.0001072527,0.001196334,0.0003586749,0.000002503697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009818466,0.00005300227,0.9980955,0.00003442496,0.00001150962,0.00001365172,0.00001701885,0.00006935389,0.0007238364],"genre_scores_gemma":[0.2712958,0.0003482632,0.7226299,0.0001503028,0.0001017806,0.0005041421,0.0002081143,0.0002242602,0.004537396],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0060367,"threshold_uncertainty_score":0.01200312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2887931888","doi":"10.1080/0305215x.2018.1497617","title":"Robust economic model predictive control: disturbance rejection, robustness and periodic operation in chemical reactors","year":2018,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Advanced Control Systems Optimization","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 Waterloo","funders":"Consejo Nacional de Ciencia y Tecnología; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Robustness (evolution); Model predictive control; Convergence (economics); Interval (graph theory); Mathematics; Robust control; Trajectory; Computer science; Mathematical optimization; Control system; Engineering; Control (management)","authors":[{"name":"Omar Santander","is_ca":true},{"name":"Ali Elkamel","is_ca":true},{"name":"Hector Budman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005173131049174445,"gpt":0.1747253368380957,"spread":0.1695522057889212,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030242,0.0005040204,0.0005905418,0.0002791316,0.0002634301,0.0009661645,0.0006391083,0.0006225286,0.0004961197],"category_scores_gemma":[0.002833012,0.0002206789,0.0002955505,0.0003493886,0.0005451395,0.0005042393,0.0004650282,0.0005665597,0.00007837194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933479,"about_ca_system_score_gemma":0.0005299359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00507456,"about_ca_topic_score_gemma":0.001780422,"domain_scores_codex":[0.9996459,0.000119042,0.00001490247,0.00006298959,0.0001092267,0.00004790008],"domain_scores_gemma":[0.9992495,0.0004276231,0.0001466741,0.00005485475,0.0001076195,0.00001376182],"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":[0.00005556493,0.00001409155,0.0002230086,0.00003513264,0.00001537487,0.0000449439,0.00001735171,0.9808998,0.001477709,0.00478372,0.00009999247,0.0123333],"study_design_scores_gemma":[0.00000262218,0.00001834275,0.00006692769,0.000001404738,0.000002061076,0.00000533885,0.000001910074,0.9984875,0.0004252009,0.0009174937,0.00006943323,0.000001771528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1751017,0.001318935,0.8135881,0.0003444615,0.00004759608,0.00004212695,0.00005309919,0.0003170575,0.009186984],"genre_scores_gemma":[0.9909214,0.0001313885,0.008382202,0.00001014878,0.000008483678,0.00001635844,0.00001597788,0.00001115425,0.0005028324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00507456,"threshold_uncertainty_score":0.01009005,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049201565","doi":"10.1080/03052150310001634862","title":"A co-evolutionary method for pursuit-evasion games with non-zero lethal radii","year":2003,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Guidance and Control Systems","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Pursuit-evasion; Minimax; Zero (linguistics); Mathematical optimization; Stackelberg competition; Computer science; RADIUS; Stochastic game; Function (biology); Mathematics; Applied mathematics; Mathematical economics; Computer security","authors":[{"name":"Han‐Lim Choi","is_ca":false},{"name":"Hyeok Ryu","is_ca":false},{"name":"Min-Jea Tahk","is_ca":true},{"name":"Hyochoong Bang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005443203398035753,"gpt":0.2086087831660335,"spread":0.2031655797679977,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000990977,0.0006320806,0.0007671736,0.0007472521,0.0005500653,0.0005809797,0.001472886,0.001255537,0.002098275],"category_scores_gemma":[0.002009873,0.000293597,0.0006050253,0.000469443,0.0008012991,0.0007577029,0.000980563,0.001152513,0.0003415156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006979363,"about_ca_system_score_gemma":0.001048294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00287875,"about_ca_topic_score_gemma":0.002123119,"domain_scores_codex":[0.9995862,0.0001463801,0.00001558353,0.00005671847,0.0001603445,0.00003480057],"domain_scores_gemma":[0.9993907,0.0003153725,0.00005615924,0.00004050916,0.0001479819,0.00004924296],"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":[0.0000503536,0.0000829668,0.0006093166,0.00008375575,0.00005879407,0.0001041461,0.0001321746,0.8201101,0.004712521,0.07932463,0.001079727,0.0936514],"study_design_scores_gemma":[0.000006430741,0.00001880149,0.00003044649,0.000003308952,0.000003386507,0.00001841301,0.000003853633,0.9970322,0.0002120162,0.002151966,0.0005151808,0.000003950757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005652879,0.00009035322,0.9913647,0.00008204495,0.00003334657,0.00002726775,0.000004736902,0.00004662602,0.002698002],"genre_scores_gemma":[0.3717991,0.000246167,0.6178237,0.0001396095,0.00006788299,0.0004614843,0.00003264036,0.00006850864,0.009360945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00287875,"threshold_uncertainty_score":0.007019401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394848705","doi":"10.1080/0305215x.2024.2312956","title":"Multi-objective mixed integer programming modelling for closed-loop supply chain network design: an enhanced Benders decomposition algorithm","year":2024,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Integer programming; Benders' decomposition; Decomposition; Mathematical optimization; Integer (computer science); Loop (graph theory); Supply chain; Closed loop; Supply chain network; Computer science; Algorithm; Mathematics; Supply chain management; Engineering; Control engineering; Combinatorics","authors":[{"name":"Chang Liu","is_ca":false},{"name":"Ying Ji","is_ca":false},{"name":"M.I.M. Wahab","is_ca":true},{"name":"Zhisheng Peng","is_ca":false},{"name":"Xinqi Li","is_ca":false},{"name":"Shaojian Qu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01513335299890593,"gpt":0.2345223110544501,"spread":0.2193889580555441,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001861568,0.001663704,0.001488968,0.000880022,0.0005461932,0.001508959,0.001194346,0.001571677,0.002889829],"category_scores_gemma":[0.002314468,0.001018265,0.00176043,0.0009662653,0.0006422863,0.001050569,0.001285924,0.001926731,0.0003810561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008967086,"about_ca_system_score_gemma":0.001795629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00620389,"about_ca_topic_score_gemma":0.004712155,"domain_scores_codex":[0.9994099,0.0002977831,0.00002501874,0.0000883087,0.0001145051,0.00006450072],"domain_scores_gemma":[0.9990674,0.0006621071,0.0001087809,0.00002634104,0.0001012662,0.00003426527],"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":[0.000008405249,0.00001115133,0.00007926327,0.00002417508,0.00001067129,0.00001715598,0.00001153345,0.9934934,0.0001903201,0.002621199,0.00009692516,0.00343582],"study_design_scores_gemma":[0.00000268834,0.000008740319,0.00001067523,0.00000400977,0.000002709701,0.000002663301,0.000003499048,0.9986545,0.00005091942,0.001084863,0.0001731766,0.000001487197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005015663,0.0001686975,0.9921831,0.0001062875,0.00002264474,0.00005579858,0.00004438933,0.00007974254,0.002323681],"genre_scores_gemma":[0.2988993,0.0007031754,0.6948339,0.0001446591,0.00005380223,0.0007289869,0.000252153,0.0001189313,0.004265068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00620389,"threshold_uncertainty_score":0.01233554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059867360","doi":"10.1080/0305215x.2011.620102","title":"Efficient management of air quality considering fuzzy confidences with varied reliabilities","year":2012,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Reliability (semiconductor); Fuzzy logic; Mathematical optimization; Computer science; Quality (philosophy); Data mining; Operations research; Mathematics; Artificial intelligence","authors":[{"name":"Ye Xu","is_ca":false},{"name":"Guohe Huang","is_ca":true},{"name":"Liguo Shao","is_ca":false},{"name":"C. Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01056609207705164,"gpt":0.1999065222930627,"spread":0.189340430216011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710004,0.000766677,0.0007428016,0.0005702603,0.0005051238,0.001829202,0.001117812,0.001058328,0.0007385809],"category_scores_gemma":[0.003603293,0.0004962724,0.0007257177,0.0005715093,0.0007983944,0.001475586,0.001088196,0.000928668,0.00005714703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142765,"about_ca_system_score_gemma":0.00123846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01028125,"about_ca_topic_score_gemma":0.006195148,"domain_scores_codex":[0.9991894,0.0003254699,0.00003178709,0.0001316562,0.0001668365,0.0001547415],"domain_scores_gemma":[0.9985121,0.0009262301,0.000258557,0.00005907722,0.0001673461,0.00007672799],"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":[0.00001557353,0.000007863049,0.00027364,0.00001056313,0.000009807501,0.00003513099,0.00001875766,0.9947979,0.0003455879,0.002165498,0.00002580571,0.002293899],"study_design_scores_gemma":[0.000003679038,0.00001593346,0.0001205914,0.000001970287,0.000004524595,0.000005363066,0.0000120647,0.9984431,0.0001847391,0.00116154,0.00004312821,0.000003354044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3112692,0.0002361469,0.682954,0.0003266167,0.00002441388,0.00007612241,0.00009737272,0.0001018479,0.004914235],"genre_scores_gemma":[0.9881288,0.00005219506,0.01138987,0.000009480123,0.000005233435,0.00002436085,0.00001728829,0.000006045706,0.0003666516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01028125,"threshold_uncertainty_score":0.02044278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2008174695","doi":"10.1080/03052151003702596","title":"Development of an inexact fuzzy flexible programming approach for environmental pollution control","year":2010,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Ministry of the Environment, Conservation and Parks; Saskatchewan Ministry of Agriculture; Ministry of Environment; University of Regina","funders":"","keywords":"Mathematical optimization; Fuzzy logic; Computer science; Control (management); Constraint (computer-aided design); Function (biology); Operations research; Risk analysis (engineering); Engineering; Mathematics; Artificial intelligence","authors":[{"name":"Hongwei Lu","is_ca":true},{"name":"Guohe Huang","is_ca":true},{"name":"Imran Maqsood","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04690611919664643,"gpt":0.3222291235254345,"spread":0.2753230043287881,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001343534,0.001047751,0.0009847798,0.000675462,0.0005123189,0.001216684,0.001243608,0.00133483,0.00231479],"category_scores_gemma":[0.001890447,0.0005230004,0.001167897,0.0006801303,0.0007326123,0.000831741,0.001318744,0.001500725,0.0001998842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000767049,"about_ca_system_score_gemma":0.00132582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006463337,"about_ca_topic_score_gemma":0.003548702,"domain_scores_codex":[0.9993585,0.0002244458,0.00003206349,0.0001097631,0.0002104094,0.00006490359],"domain_scores_gemma":[0.9993981,0.0003239201,0.00006722251,0.0000333333,0.0001487861,0.00002863793],"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":[0.0000101852,0.0000151636,0.00009052085,0.0000343781,0.00001344462,0.00004564319,0.00002737225,0.9796063,0.0006426161,0.008559051,0.0001405984,0.01081461],"study_design_scores_gemma":[0.000001587552,0.00001003694,0.00001376705,0.000003193133,0.000002245091,0.000003633648,0.000003410216,0.9982057,0.00008787341,0.001499653,0.000167115,0.00000197381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004359899,0.000084247,0.9939618,0.00006341746,0.00001561308,0.000022086,0.00001385081,0.00003574247,0.001443356],"genre_scores_gemma":[0.4823129,0.0005252588,0.5121526,0.0001334405,0.00007987531,0.0004595082,0.0001146886,0.00006181522,0.004159925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006463337,"threshold_uncertainty_score":0.01285148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399669829","doi":"10.1080/0305215x.2024.2358922","title":"Multi-material topology optimization considering both isotropy and anisotropy with fibre orientation optimization","year":2024,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Isotropy; Topology optimization; Anisotropy; Orientation (vector space); Topology (electrical circuits); Sensitivity (control systems); Displacement (psychology); Computer science; Optimization problem; Mathematical optimization; Mathematics; Algorithm; Finite element method; Structural engineering; Geometry; Engineering; Optics; Physics; Electronic engineering","authors":[{"name":"Yifan Shi","is_ca":true},{"name":"Yuhao Huang","is_ca":true},{"name":"Il Yong Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00548379274122572,"gpt":0.2054371897612359,"spread":0.1999533970200102,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005513863,0.001238373,0.0009786601,0.001145078,0.0004236779,0.000868606,0.0008132968,0.00104596,0.002255755],"category_scores_gemma":[0.001120276,0.0005033975,0.0009651133,0.0006677945,0.0005786134,0.001202032,0.0007661697,0.0006308814,0.000415882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005259958,"about_ca_system_score_gemma":0.0009048652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001994626,"about_ca_topic_score_gemma":0.003402238,"domain_scores_codex":[0.9997744,0.00005612366,0.000009274868,0.00004519635,0.00008677777,0.00002819041],"domain_scores_gemma":[0.9995628,0.0002168657,0.00006938614,0.00004629511,0.00007846891,0.00002617461],"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":[0.00002376643,0.00003275963,0.0004053719,0.00009128668,0.00002264839,0.0000499417,0.00002191342,0.9549818,0.004919771,0.005907639,0.000495117,0.03304803],"study_design_scores_gemma":[0.000003784609,0.00002007335,0.00007359288,0.000006206093,0.000005579162,0.00002153591,0.000007856752,0.9968919,0.0007183684,0.001562257,0.0006847895,0.00000409064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.039289,0.0005259363,0.9509668,0.000142781,0.00005838778,0.00006109511,0.00005572538,0.0003051672,0.008595041],"genre_scores_gemma":[0.5043622,0.0004776195,0.4893271,0.0000842993,0.00004002164,0.0002016685,0.000197233,0.0003000834,0.005009774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002255755,"threshold_uncertainty_score":0.007546306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2288218147","doi":"10.1080/0305215x.2015.1075815","title":"Double-sided fuzzy chance-constrained linear fractional programming approach for water resources management","year":2015,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Mathematical optimization; Fuzzy logic; Linear programming; Mathematics; Computer science; Artificial intelligence","authors":[{"name":"Liang Cui","is_ca":false},{"name":"Yongping Li","is_ca":false},{"name":"Guohe Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01865195864890647,"gpt":0.2054079576567535,"spread":0.1867559990078471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058437,0.001168427,0.001222593,0.0008771414,0.0006428831,0.001191375,0.001024656,0.001216031,0.002643488],"category_scores_gemma":[0.001337127,0.0006386982,0.001410449,0.001242942,0.0006110679,0.0009423596,0.000825258,0.001168844,0.0001730375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223113,"about_ca_system_score_gemma":0.002278456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009388593,"about_ca_topic_score_gemma":0.00766787,"domain_scores_codex":[0.9995185,0.0001654588,0.00002478064,0.00007064378,0.0001468963,0.00007367638],"domain_scores_gemma":[0.9995348,0.0003107065,0.00003979151,0.00001169659,0.00007504338,0.00002789595],"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":[0.00001393551,0.0000162416,0.0001463084,0.00007869697,0.00002388871,0.00005246835,0.00002410092,0.9728063,0.0005553131,0.01201176,0.0004515359,0.01381944],"study_design_scores_gemma":[0.000003779248,0.00001236555,0.00002803255,0.000006965182,0.00000472302,0.000008591319,0.000006004042,0.9959431,0.0001095883,0.003448787,0.0004231314,0.000004859366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005883033,0.0005090091,0.9897272,0.000170169,0.00005893192,0.00004718831,0.00005432128,0.0000470429,0.003503127],"genre_scores_gemma":[0.5466655,0.001722876,0.4450943,0.0001783199,0.0001774909,0.0005659833,0.0002059507,0.00008073061,0.005308742],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009388593,"threshold_uncertainty_score":0.01866788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4398164320","doi":"10.1080/0305215x.2024.2346935","title":"A multi-stage constraint programming approach to solve clustering problems in open-pit mine planning","year":2024,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Open-pit mining; Cluster analysis; Constraint (computer-aided design); Computer science; Mathematical optimization; Constraint programming; Stage (stratigraphy); Data mining; Engineering; Mining engineering; Mathematics; Stochastic programming; Artificial intelligence; Geology","authors":[{"name":"Jorge Luiz Valença Mariz","is_ca":false},{"name":"Rodrigo de Lemos Peroni","is_ca":false},{"name":"Ricardo Martins de Abreu Silva","is_ca":false},{"name":"Mohammad Mahdi Badiozamani","is_ca":true},{"name":"Hooman Askari-Nasab","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04535831522977334,"gpt":0.2643652545621121,"spread":0.2190069393323387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002294843,0.001686441,0.001388533,0.001400842,0.0008095869,0.001679562,0.0025976,0.001970249,0.004675836],"category_scores_gemma":[0.003563386,0.001430697,0.001996239,0.002826849,0.0007563842,0.001575947,0.001251983,0.00261212,0.0004854237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898345,"about_ca_system_score_gemma":0.003552509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01722859,"about_ca_topic_score_gemma":0.02220615,"domain_scores_codex":[0.9986445,0.000581243,0.00007194845,0.0002243915,0.0003213007,0.0001566804],"domain_scores_gemma":[0.9975655,0.001819038,0.0001637764,0.00006725332,0.0002982961,0.00008623375],"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":[0.0000193086,0.00003768767,0.0001316995,0.0001029279,0.00003039205,0.00005163269,0.00003224239,0.9772465,0.0004728244,0.006994973,0.0006322509,0.01424748],"study_design_scores_gemma":[0.000005937066,0.00002446823,0.00004255022,0.00001150656,0.000007343873,0.0000124068,0.00001238016,0.9964402,0.0002490434,0.002550687,0.0006368257,0.000006584122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003640975,0.0002255972,0.9934048,0.0001481372,0.00002786342,0.0001195969,0.0001146844,0.0001061556,0.002212309],"genre_scores_gemma":[0.1365065,0.0005416007,0.8580918,0.0001679509,0.00005646382,0.0007960895,0.0003300569,0.0001191063,0.003390486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01722859,"threshold_uncertainty_score":0.03425664,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2036829849","doi":"10.1080/0305215x.2013.776552","title":"Convergence analysis of the tabu-based real-coded small-world optimization algorithm","year":2013,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Otago; Ryerson University","keywords":"Tabu search; Mathematical optimization; Mathematics; Crossover; Convergence (economics); Metaheuristic; Algorithm; Benchmark (surveying); Bounded function; Computer science","authors":[{"name":"Xin Zhao","is_ca":false},{"name":"Shuang-xin Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01192085607671384,"gpt":0.2251068970387027,"spread":0.2131860409619888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002667478,0.0007129143,0.0009043743,0.0009885017,0.0004238751,0.001002634,0.001427472,0.0008109752,0.00214952],"category_scores_gemma":[0.0073802,0.0003880741,0.0005713867,0.0008699272,0.0009765178,0.000832781,0.0006678575,0.000958117,0.0003824038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001058206,"about_ca_system_score_gemma":0.001781937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004866106,"about_ca_topic_score_gemma":0.002054273,"domain_scores_codex":[0.9991554,0.0004014577,0.00003033325,0.00006701949,0.000273564,0.00007212572],"domain_scores_gemma":[0.9971705,0.001671384,0.0001904348,0.0001501505,0.0007416071,0.00007592615],"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":[0.00004480216,0.00002170586,0.0002979815,0.00006820414,0.00003443944,0.00002143179,0.00002818426,0.971721,0.0009174615,0.01096379,0.000542901,0.015338],"study_design_scores_gemma":[0.00000317944,0.00000832249,0.00003013328,0.000002991012,0.00000184205,0.00000397377,0.000001933195,0.9991302,0.0001533215,0.0005574443,0.0001048623,0.000001944129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02547913,0.000543898,0.968865,0.0001688458,0.00005471252,0.0000687026,0.00004526709,0.0002698974,0.00450448],"genre_scores_gemma":[0.6427303,0.0006967811,0.3525825,0.0001405381,0.00003621154,0.0003765762,0.0002660886,0.0001904697,0.00298052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004866106,"threshold_uncertainty_score":0.01410711,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900639259","doi":"10.1080/0305215x.2018.1536753","title":"Inexact rough-interval type-2 fuzzy stochastic optimization model supporting municipal solid waste management under uncertainty","year":2018,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University; University of Northern British Columbia","funders":"Henan University; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Interval (graph theory); Municipal solid waste; Fuzzy logic; Type (biology); Mathematical optimization; Solid waste management; Mathematics; Computer science; Waste management; Engineering; Artificial intelligence; Geology","authors":[{"name":"Li Wang","is_ca":true},{"name":"Lei Jin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08180019776179873,"gpt":0.3792532534148086,"spread":0.2974530556530098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001168096,0.0009201877,0.001241512,0.0005652401,0.0004569146,0.001794502,0.001077824,0.001454887,0.001309413],"category_scores_gemma":[0.002018481,0.0005358497,0.001136791,0.0006663866,0.0007550202,0.001076176,0.0008929163,0.001163451,0.0001269234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009246762,"about_ca_system_score_gemma":0.001458142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00826408,"about_ca_topic_score_gemma":0.004702999,"domain_scores_codex":[0.9992091,0.000300129,0.0000360282,0.0001316219,0.0002195257,0.0001036473],"domain_scores_gemma":[0.9991245,0.000462857,0.0001694706,0.00003728651,0.0001619851,0.00004398069],"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":[0.00001185078,0.000006445533,0.0001081569,0.00001562269,0.000009247197,0.00003673596,0.000009443856,0.995889,0.0001625441,0.002296036,0.00005122125,0.001403676],"study_design_scores_gemma":[0.000001439079,0.000006014315,0.000025598,0.000001217376,0.000002106784,0.000003249608,0.000003241829,0.9991384,0.00004321244,0.0007344741,0.00003935306,0.000001744949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04551581,0.0002102443,0.9506263,0.0002203451,0.00004588807,0.00003587497,0.0000862321,0.00008548437,0.00317375],"genre_scores_gemma":[0.9568698,0.0002489327,0.04002154,0.00004823875,0.00003642267,0.0001243163,0.0001027465,0.00001831324,0.00252972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00826408,"threshold_uncertainty_score":0.01643193,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406916423","doi":"10.1080/0305215x.2025.2450686","title":"Effective prompting with ChatGPT for problem formulation in engineering optimization","year":2025,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Engineering optimization; Multidisciplinary design optimization; Computer science; Optimization problem; Mathematics; Multidisciplinary approach","authors":[{"name":"Hoang Nguyen Vu","is_ca":true},{"name":"Ke Wang","is_ca":true},{"name":"G. Gary Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003762064502559939,"gpt":0.2247621972768631,"spread":0.2210001327743032,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009893957,0.00188,0.00114281,0.0007301369,0.0005172254,0.00162284,0.002240379,0.001640824,0.01404888],"category_scores_gemma":[0.09351077,0.0004911272,0.000582027,0.0006306004,0.001012587,0.002883821,0.002471727,0.002258949,0.003533414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000790523,"about_ca_system_score_gemma":0.001017117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000405591,"about_ca_topic_score_gemma":0.0006181929,"domain_scores_codex":[0.9916285,0.006085848,0.0004513023,0.0007739731,0.000880676,0.000179609],"domain_scores_gemma":[0.8711299,0.113616,0.003559141,0.006434693,0.004230996,0.001029251],"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":[0.004335588,0.002689726,0.007493793,0.005370576,0.0001256725,0.001357101,0.01483208,0.08074706,0.06731053,0.02091892,0.01839644,0.7764226],"study_design_scores_gemma":[0.001419016,0.007117687,0.01271663,0.002008677,0.0002190722,0.001553876,0.005724073,0.7361431,0.0710207,0.0903375,0.07131805,0.0004215568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1037415,0.0002683475,0.8764821,0.0007233708,0.0002382948,0.001538941,0.0002961836,0.008034273,0.008676878],"genre_scores_gemma":[0.3860243,0.0003401201,0.6042223,0.0004733352,0.0001343791,0.002225245,0.0005426442,0.0008683627,0.005169335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01404888,"threshold_uncertainty_score":0.05232483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391746883","doi":"10.1080/0305215x.2024.2302571","title":"Development of a non-uniform cellular automata framework for sizing, topology and layout optimization of truss structures","year":2024,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Architecture and Computational Design","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truss; Topology optimization; Sizing; Cellular automaton; Topology (electrical circuits); Mathematical optimization; Computer science; Structural engineering; Engineering; Mathematics; Algorithm; Finite element method; Combinatorics","authors":[{"name":"Mohamed El Bouzouiki","is_ca":true},{"name":"Ramin Sedaghati","is_ca":true},{"name":"Ion Stiharu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006536423370579287,"gpt":0.2170960180311606,"spread":0.2105595946605813,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003439293,0.0006243786,0.0005679506,0.0004667575,0.0003860393,0.0005856474,0.001350674,0.0006961994,0.001572279],"category_scores_gemma":[0.001067539,0.0004534679,0.0008908975,0.0004553862,0.0005545055,0.0005299624,0.000707616,0.000921816,0.0003110746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007548911,"about_ca_system_score_gemma":0.001450005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001981,"about_ca_topic_score_gemma":0.01235196,"domain_scores_codex":[0.9997738,0.00005168916,0.00001330713,0.00004837845,0.0000896623,0.00002315077],"domain_scores_gemma":[0.9996885,0.0001314915,0.00002563045,0.00004049863,0.00009784481,0.00001602141],"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":[0.00000729267,0.00001684591,0.0001815357,0.00004285208,0.00001345596,0.00002649059,0.00002934792,0.9503435,0.003413351,0.01736746,0.0003130777,0.02824485],"study_design_scores_gemma":[0.000001863669,0.00000846652,0.00002500884,0.000002840994,0.000001777397,0.000005559357,0.000002665974,0.997241,0.0004321159,0.001663424,0.000613351,0.000001932409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004683717,0.0001137018,0.9932262,0.00003405561,0.00002119595,0.00002386417,0.0000205104,0.0001157127,0.001761027],"genre_scores_gemma":[0.2091364,0.000305057,0.787308,0.0000582567,0.00002422768,0.0002428444,0.000132719,0.0000961706,0.002696368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01001981,"threshold_uncertainty_score":0.01992297,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194311536","doi":"10.1080/0305215x.2021.1961762","title":"Impact of coronavirus disease 2019 on electricity demand and the unit commitment problem: a long–short-term memory-based machine learning approach","year":2021,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Energy Load and Power Forecasting","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":"University of Waterloo","funders":"","keywords":"Electricity; Coronavirus disease 2019 (COVID-19); Pandemic; Electricity demand; Environmental economics; Scheduling (production processes); Mains electricity; Computer science; Peak demand; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Operations research; Business; Electricity generation; Economics; Operations management; Power (physics); Engineering; Medicine; Disease; Infectious disease (medical specialty); Electrical engineering","authors":[{"name":"Marwen Elkamel","is_ca":false},{"name":"Ali Ahmadian","is_ca":true},{"name":"Qipeng P. Zheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0134609686828571,"gpt":0.2288335877081514,"spread":0.2153726190252943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411559,0.0007615842,0.0009038179,0.000543969,0.0004067227,0.001059107,0.001022472,0.001907934,0.002406326],"category_scores_gemma":[0.003700591,0.0005187559,0.0005269126,0.0005421808,0.0004989911,0.001080619,0.0006545394,0.001674323,0.0001028287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293205,"about_ca_system_score_gemma":0.001265317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0289833,"about_ca_topic_score_gemma":0.01891485,"domain_scores_codex":[0.9995829,0.0002145112,0.00001822224,0.00006678105,0.00004558251,0.00007192614],"domain_scores_gemma":[0.9976897,0.001921864,0.000141094,0.00003143201,0.000143627,0.00007231289],"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":[0.0000299723,0.00003171586,0.0007959475,0.00001500923,0.00001937776,0.00005097642,0.000005464997,0.9954542,0.00008204015,0.0006788686,0.0002229774,0.002613317],"study_design_scores_gemma":[0.000001993169,0.000007663021,0.0001289189,0.000001348287,0.000002243798,0.00000259193,0.000005232759,0.9995339,0.00002199295,0.0002724723,0.00002022822,0.000001333928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628292,0.001609435,0.2175906,0.004951278,0.0002540795,0.0001297279,0.0006414748,0.0002526638,0.01174149],"genre_scores_gemma":[0.9889792,0.0002248112,0.008527943,0.0001456722,0.00004706921,0.00004131817,0.000179725,0.00001630211,0.001838019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0289833,"threshold_uncertainty_score":0.05762917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999168334","doi":"10.1080/0305215x.2012.743534","title":"A hybrid interval-parameter fuzzy robust programming method and its application to filter management strategy in fluid power systems","year":2013,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","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":"University of Regina","funders":"","keywords":"Robustness (evolution); Fuzzy logic; Interval (graph theory); Mathematical optimization; Probabilistic logic; Filter (signal processing); Control theory (sociology); Engineering; Computer science; Reliability engineering; Control (management); Mathematics; Artificial intelligence","authors":[{"name":"Songlin Nie","is_ca":false},{"name":"Hui Ji","is_ca":false},{"name":"Yeqing Huang","is_ca":false},{"name":"Yongping Li","is_ca":false},{"name":"Guohe Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008675650645041924,"gpt":0.2001934369401533,"spread":0.1915177862951114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001548918,0.001136287,0.001107071,0.0006951642,0.0003969567,0.001025829,0.001196495,0.00120461,0.002266368],"category_scores_gemma":[0.002152396,0.0004992466,0.001112936,0.0006727095,0.0006025186,0.0009347684,0.0006600806,0.001291785,0.0002631287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007649948,"about_ca_system_score_gemma":0.001078684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005064785,"about_ca_topic_score_gemma":0.002611549,"domain_scores_codex":[0.9994695,0.0002096096,0.0000247555,0.000111432,0.0001371894,0.00004761374],"domain_scores_gemma":[0.9993172,0.0004271402,0.00006821486,0.00002033958,0.000149232,0.0000177925],"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":[0.00001786685,0.00001687527,0.00009794505,0.00005943887,0.0000205989,0.00003777159,0.00003261802,0.9706217,0.0008828482,0.008294075,0.0002804531,0.01963778],"study_design_scores_gemma":[0.000001838306,0.00001048446,0.0000130396,0.000003322684,0.000003134005,0.000005175069,0.000002872235,0.9986038,0.0001550909,0.001040769,0.0001572568,0.000003339757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001855697,0.00006676966,0.9970642,0.00002932263,0.000007228095,0.00001457621,0.000009927349,0.00004604768,0.0009061759],"genre_scores_gemma":[0.4251665,0.0005782305,0.5699741,0.0001006406,0.00007040683,0.0004898266,0.0001088045,0.0001201507,0.003391367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005064785,"threshold_uncertainty_score":0.01007062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405326232","doi":"10.1080/0305215x.2024.2434188","title":"Machine learning-based sound power topology optimization for shell structures","year":2024,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Topology Optimization in Engineering","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":"Queen's University","funders":"Academy of Nutrition and Dietetics","keywords":"Artificial neural network; Residual; Topology optimization; Network topology; Sensitivity (control systems); Computer science; Reinforcement learning; Sound power; Power (physics); Convolutional neural network; Engineering; Artificial intelligence; Electronic engineering; Finite element method; Acoustics; Sound (geography); Algorithm; Structural engineering","authors":[{"name":"Wesley Dossett","is_ca":true},{"name":"Il Yong Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005083561838148636,"gpt":0.2103516997494412,"spread":0.2052681379112926,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009173361,0.0008100796,0.0006775302,0.0006693342,0.0002286222,0.000498045,0.0005101599,0.0007077705,0.001668157],"category_scores_gemma":[0.002349465,0.0004788227,0.0005640876,0.0003160275,0.0006424733,0.0006137327,0.0005224972,0.0008408917,0.000313962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006707237,"about_ca_system_score_gemma":0.0006582425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001545124,"about_ca_topic_score_gemma":0.002475572,"domain_scores_codex":[0.9997521,0.00008173078,0.00001113023,0.00004990155,0.00008287776,0.00002232574],"domain_scores_gemma":[0.9990067,0.000645536,0.0001017924,0.00007280296,0.0001419119,0.00003125205],"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":[0.00001250151,0.00001922821,0.000194074,0.00002621283,0.000007597021,0.00001307781,0.000008515655,0.9815984,0.001580286,0.0009949157,0.0001528779,0.01539243],"study_design_scores_gemma":[0.000002939085,0.0000161147,0.00004296982,0.000002307284,0.000001499362,0.000003322213,0.000001653423,0.9984651,0.0003847146,0.0009495014,0.0001285772,0.000001245479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0705722,0.0004794252,0.9235142,0.0002105314,0.00002875265,0.00006125807,0.00007344451,0.0005977803,0.004462383],"genre_scores_gemma":[0.7775056,0.0001954242,0.2183424,0.0001019397,0.00002455023,0.0001689217,0.0002365364,0.0001953586,0.003229164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001668157,"threshold_uncertainty_score":0.005580544,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408040669","doi":"10.1080/0305215x.2025.2465832","title":"Multi-scale multi-material topology optimization for lattice structures with interface connective microstructures","year":2025,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Topology optimization; Microstructure; Materials science; Topology (electrical circuits); Lattice (music); Scale (ratio); Computer science; Composite material; Structural engineering; Mathematics; Engineering; Physics; Finite element method; Acoustics","authors":[{"name":"Yongcheng Zhou","is_ca":true},{"name":"Il Yong Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005182997822241053,"gpt":0.231467199431193,"spread":0.2262842016089519,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006384422,0.0006814032,0.0007055532,0.0007079614,0.0003406592,0.0006867723,0.0008481272,0.0007096661,0.001368168],"category_scores_gemma":[0.0007004497,0.0004275029,0.000620156,0.0004382983,0.0005840181,0.000913016,0.0008862211,0.0006050094,0.0002154776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006434519,"about_ca_system_score_gemma":0.0007453266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067295,"about_ca_topic_score_gemma":0.001613257,"domain_scores_codex":[0.999793,0.00005702376,0.000007740369,0.00004283903,0.00007904646,0.0000203696],"domain_scores_gemma":[0.9997341,0.0001226886,0.00004849437,0.00002548229,0.00004557906,0.00002366722],"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":[0.00002901303,0.00005267172,0.0004446672,0.00008523584,0.00002116463,0.00007267733,0.00003136438,0.9512111,0.01204135,0.0134877,0.0003516825,0.02217132],"study_design_scores_gemma":[0.000003627112,0.00001464752,0.00003689743,0.000001478431,0.000001594975,0.000009479018,0.000004152933,0.9980158,0.0005206616,0.001116523,0.0002730233,0.000002171403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02273787,0.0001401158,0.9747355,0.00006570503,0.00001578522,0.0000350506,0.00002146546,0.00008717628,0.002161344],"genre_scores_gemma":[0.4646829,0.000179628,0.5319924,0.00005937798,0.0000197516,0.0002167328,0.0001019655,0.0001149107,0.00263217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001368168,"threshold_uncertainty_score":0.004668534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2553607737","doi":"10.1080/0305215x.2016.1250895","title":"An inexact fuzzy bi-level programming model for energy–traffic system planning under uncertainty: a case study of Urumqi city, China","year":2016,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Higher Education Discipline Innovation Project","keywords":"Fuzzy logic; Programming paradigm; Management system; China; Computer science; Sustainable development; Traffic system; Energy management; Transport engineering; Operations research; Energy (signal processing); Mathematical optimization; Engineering; Operations management; Mathematics; Geography","authors":[{"name":"Shen Wang","is_ca":false},{"name":"Guohe Huang","is_ca":false},{"name":"Yuan Yao","is_ca":false},{"name":"Y.L. Xie","is_ca":false},{"name":"Junjie Zhen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02573657856763949,"gpt":0.2298992091399265,"spread":0.204162630572287,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095653,0.0008911208,0.0009003673,0.0005540784,0.0008699666,0.001649344,0.001220893,0.001610248,0.00173396],"category_scores_gemma":[0.001301027,0.0005627841,0.0008223777,0.0009808746,0.0008292071,0.0009546357,0.0009941984,0.001007874,0.00009554156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534549,"about_ca_system_score_gemma":0.003079253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08290251,"about_ca_topic_score_gemma":0.04547875,"domain_scores_codex":[0.9994552,0.0002180572,0.00002344548,0.0001019148,0.00009761909,0.000103768],"domain_scores_gemma":[0.9994206,0.0003077287,0.00007601529,0.00002416693,0.0001182711,0.00005321293],"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":[0.00001080977,0.00001074491,0.0003698862,0.00001358111,0.000007351976,0.0001165472,0.00002435552,0.9959039,0.0001311867,0.002263208,0.00008336202,0.001065114],"study_design_scores_gemma":[0.000003120295,0.000007885929,0.0001283679,0.000001499223,0.00000370535,0.000005127422,0.00001842584,0.9991923,0.00004280542,0.0005019606,0.00009174262,0.000003091463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5672136,0.0006191676,0.4135798,0.001044547,0.00006426194,0.0001745219,0.0005352785,0.000172005,0.01659676],"genre_scores_gemma":[0.981618,0.0001969585,0.01487692,0.00003217362,0.000008659389,0.00009698337,0.0001185679,0.00001417772,0.003037522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08290251,"threshold_uncertainty_score":0.1648399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2897914761","doi":"10.1080/0305215x.2018.1524462","title":"Collection network design with capacity planning in reverse logistics: static and restricted-dynamic models","year":2018,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Research Foundation of Korea","keywords":"Heuristics; Time horizon; Data collection; Mathematical optimization; Operations research; Computer science; Integer programming; Dynamic programming; Engineering; Mathematics; Statistics","authors":[{"name":"Ji-Su Kim","is_ca":true},{"name":"Dong-Ho Lee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01744114600913093,"gpt":0.1932773904357405,"spread":0.1758362444266096,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001691434,0.001404719,0.001171572,0.001057605,0.0006272526,0.002057119,0.002597721,0.001641782,0.004045402],"category_scores_gemma":[0.003290131,0.001513566,0.001400427,0.002086934,0.001180468,0.003142942,0.001096764,0.001346251,0.000408019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002905905,"about_ca_system_score_gemma":0.002587665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02535994,"about_ca_topic_score_gemma":0.01917008,"domain_scores_codex":[0.9987922,0.0005579784,0.00003459174,0.0002007099,0.0001908017,0.0002237176],"domain_scores_gemma":[0.9987012,0.0007336425,0.0002113792,0.00007901972,0.0001820128,0.0000928064],"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":[0.000009366539,0.000008989887,0.00005202355,0.00001356719,0.000004124047,0.00001261692,0.000006204806,0.995984,0.00006147945,0.002330774,0.00009569508,0.001421195],"study_design_scores_gemma":[0.000005419912,0.0000168456,0.00005203624,0.000005540774,0.000006317657,0.000008717925,0.00001346468,0.9963238,0.00008838183,0.002990953,0.0004818131,0.000006689118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03833479,0.0007647327,0.9460827,0.0004968581,0.0000697394,0.0001758322,0.0003613775,0.0002122463,0.01350175],"genre_scores_gemma":[0.8704844,0.00168386,0.1152302,0.0001278152,0.00006589811,0.0003814667,0.0004248956,0.0001403012,0.01146111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02535994,"threshold_uncertainty_score":0.05042464,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403306608","doi":"10.1080/0305215x.2024.2408479","title":"Optimization of a roller coaster bogie considering fatigue life","year":2024,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bogie; Roller coaster; Structural engineering; Engineering; Materials science; Mechanical engineering","authors":[{"name":"Dylan Eisen","is_ca":true},{"name":"Il Yong Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01454681659779665,"gpt":0.2194167206094446,"spread":0.2048699040116479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002752172,0.0005976246,0.0005344898,0.0004857903,0.0002587247,0.0006689073,0.000313403,0.0007743038,0.002317339],"category_scores_gemma":[0.0007874116,0.0002720462,0.0003581439,0.0001940431,0.0003312897,0.0004723956,0.0004526879,0.000340641,0.0003359176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003360847,"about_ca_system_score_gemma":0.0006198853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002478068,"about_ca_topic_score_gemma":0.003213104,"domain_scores_codex":[0.9999305,0.00001730352,0.000002372309,0.00001575218,0.00001615591,0.00001779055],"domain_scores_gemma":[0.9998316,0.00008180598,0.00002015108,0.00001251362,0.00003605463,0.00001796199],"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":[0.00003960766,0.00002043973,0.0004939573,0.0000463379,0.00001016176,0.00008116353,0.00002079948,0.9815687,0.006832817,0.001305934,0.0001745548,0.009405595],"study_design_scores_gemma":[0.00000860518,0.00009607059,0.0005107645,0.000007760251,0.000008354892,0.00002765936,0.00004591638,0.9962049,0.001550462,0.0007864689,0.0007479567,0.000005183126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6016533,0.0005403682,0.3761079,0.0002490672,0.000052402,0.0001367877,0.0002049287,0.0003176432,0.02073752],"genre_scores_gemma":[0.9572725,0.0001851319,0.03725007,0.00003237087,0.000005277152,0.0001099943,0.0001236553,0.00008382797,0.00493717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002478068,"threshold_uncertainty_score":0.007752299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416995971","doi":"10.1080/0305215x.2025.2592033","title":"Neural network-driven optimization of electromagnetic and thermal performance in traction induction machines through rotor design modifications","year":2025,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Traction (geology); Rotor (electric); Thermal; Control theory (sociology); Induction motor; Artificial neural network","authors":[{"name":"Omolbanin Taqavi","is_ca":true},{"name":"Ze Li","is_ca":true},{"name":"Glenn Byczynski","is_ca":false},{"name":"Narayan C. Kar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008534708856175648,"gpt":0.1960945942522609,"spread":0.1875598853960852,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004409027,0.0007802169,0.0003707708,0.000292113,0.0001949354,0.0004445011,0.0004320877,0.000563656,0.001189766],"category_scores_gemma":[0.001098796,0.0002917854,0.0002679847,0.0002118171,0.0004196589,0.000370879,0.0003580494,0.0004042144,0.0001680915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004995265,"about_ca_system_score_gemma":0.0004445333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002813873,"about_ca_topic_score_gemma":0.003890516,"domain_scores_codex":[0.9998738,0.0000383949,0.000004558462,0.00002065033,0.00004279227,0.00001989198],"domain_scores_gemma":[0.9997606,0.0001319056,0.00003143909,0.00001234449,0.000054657,0.000009064367],"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":[0.0000155198,0.00001519677,0.0001485004,0.0000151793,0.000004233277,0.00001084469,0.000004958121,0.9931786,0.0008720392,0.0003230628,0.00007905858,0.005332746],"study_design_scores_gemma":[0.000001714013,0.00001338235,0.00004545097,0.000001213234,0.000001475739,0.00000169481,0.000001650145,0.9995235,0.0002214838,0.0001219238,0.00006580689,7.082066e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3983205,0.0008319942,0.5766361,0.0003496542,0.00007769511,0.0001103704,0.00009302941,0.0007179903,0.02286267],"genre_scores_gemma":[0.9719509,0.00009317139,0.02593466,0.00003540858,0.000007990638,0.00006472488,0.00005087101,0.00004120977,0.001821074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002813873,"threshold_uncertainty_score":0.005594969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2562784764","doi":"10.1080/0305215x.2016.1265306","title":"Modelling and optimization of a wellhead gas flowmeter using concentric pipes","year":2016,"lang":"en","type":"article","venue":"Engineering Optimization","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Wellhead; Body orifice; Venturi effect; Volumetric flow rate; Sensitivity (control systems); Flow measurement; Calibration; Flow (mathematics); Computation; Metric (unit); Smoothness; Nominal Pipe Size; Mechanics; Engineering; Simulation; Materials science; Mathematics; Petroleum engineering; Mechanical engineering; Algorithm; Electronic engineering; Physics; Inlet","authors":[{"name":"Yana Nec","is_ca":true},{"name":"Greg Huculak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01477884542700079,"gpt":0.1787079089278373,"spread":0.1639290635008366,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036929,0.0005152046,0.0005433987,0.000267679,0.0002388398,0.0007677507,0.0006447342,0.001011271,0.001168609],"category_scores_gemma":[0.0006356525,0.0004472824,0.0004728326,0.0002700926,0.0005402025,0.0004542659,0.0003703179,0.000363101,0.0002516732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005494253,"about_ca_system_score_gemma":0.001170857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475163,"about_ca_topic_score_gemma":0.002281327,"domain_scores_codex":[0.9997702,0.00005294745,0.00001087366,0.00006259493,0.00007488774,0.00002855318],"domain_scores_gemma":[0.9997777,0.0001213787,0.00003765552,0.0000206114,0.00003365802,0.000009031819],"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":[0.00004467199,0.00002645199,0.0007310995,0.00006343603,0.000008059642,0.00003652965,0.00002988113,0.9776833,0.01338688,0.001320475,0.00007987794,0.006589331],"study_design_scores_gemma":[0.000007121786,0.00004320408,0.0003225387,0.000003408953,0.000004319309,0.00001012637,0.000007202108,0.995245,0.00379483,0.0001862626,0.0003705884,0.000005330595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1826831,0.0001866439,0.8103264,0.0001074352,0.00002260148,0.0001407379,0.0001958852,0.0005382276,0.005799083],"genre_scores_gemma":[0.9319524,0.0001625088,0.06497128,0.000009346121,0.000004793984,0.0002031816,0.00007056447,0.00004453214,0.002581399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003475163,"threshold_uncertainty_score":0.006909847,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}