{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":26,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":26,"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":"bc92b95a269a","filters":{"venue":"Journal of Computational Design and Engineering"}},"results":[{"id":"W1539570097","doi":"10.7315/jcde.2014.021","title":"Survey on the virtual commissioning of manufacturing systems","year":2014,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":197,"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":"Agency for Defense Development; Ministry of Education, Science and Technology","keywords":"Project commissioning; Debugging; Engineering; Controller (irrigation); Systems engineering; Computer science; Control engineering; Manufacturing engineering; Operating system; Publishing","authors":[{"name":"Chi G. Lee","is_ca":false},{"name":"Sang Chan Park","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01801483937051697,"gpt":0.1979192674220139,"spread":0.1799044280514969,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374206,0.0007143322,0.001041789,0.00221022,0.000477265,0.002696374,0.00146404,0.001055402,0.005278531],"category_scores_gemma":[0.0045572,0.000662323,0.0007270974,0.004508526,0.001002619,0.003512611,0.0009817741,0.0008035735,0.0008484433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008970709,"about_ca_system_score_gemma":0.001198451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962293,"about_ca_topic_score_gemma":0.0008697233,"domain_scores_codex":[0.9983038,0.0006963366,0.0001315799,0.0002120596,0.0005533739,0.0001027511],"domain_scores_gemma":[0.9961224,0.002818224,0.0002322838,0.0003756749,0.0003921679,0.00005913006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007640251,0.0000659717,0.001584508,0.00592666,0.00008921792,0.0002177308,0.0003068688,0.05123301,0.00112272,0.2273585,0.01354552,0.6984729],"study_design_scores_gemma":[0.00002038527,0.0002043671,0.002940404,0.003241498,0.00009431691,0.001346087,0.0005390678,0.08505111,0.002968789,0.1345735,0.7689245,0.00009601028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01550721,0.6370091,0.264635,0.002715931,0.00097973,0.00008608634,0.0002075363,0.0005261608,0.07833318],"genre_scores_gemma":[0.2549407,0.6501587,0.08485148,0.0006968364,0.00174229,0.0001028444,0.0005423367,0.0001728849,0.006791845],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005278531,"threshold_uncertainty_score":0.01765841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3132127288","doi":"10.1093/jcde/qwab009","title":"A novel particle swarm optimization-based grey model for the prediction of warehouse performance","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina; École de Technologie Supérieure","funders":"","keywords":"Performance indicator; Particle swarm optimization; Warehouse; Supply chain; Data mining; Genetic algorithm; Taguchi methods; Computer science; Key (lock); Engineering; Operations research; Machine learning","authors":[{"name":"Md. Rakibul Islam","is_ca":false},{"name":"Syed Mithun Ali","is_ca":false},{"name":"Amir M. Fathollahi‐Fard","is_ca":true},{"name":"Golam Kabir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09769746644814277,"gpt":0.2929619825469785,"spread":0.1952645160988357,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006389716,0.0007081341,0.0009454002,0.0006406482,0.0003468853,0.001010642,0.00108668,0.001197466,0.001292385],"category_scores_gemma":[0.001520741,0.0003927718,0.0008844803,0.0007283526,0.0004489588,0.0006970662,0.0005449623,0.0009521101,0.0001798405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006593855,"about_ca_system_score_gemma":0.0009017938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120066,"about_ca_topic_score_gemma":0.009140654,"domain_scores_codex":[0.9997308,0.00007814318,0.00001833658,0.00007271565,0.00006385303,0.00003608192],"domain_scores_gemma":[0.9996111,0.0002229156,0.00004547945,0.00001298199,0.00009203728,0.000015592],"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":[0.00001727779,0.00001393258,0.0007738521,0.00002459864,0.00002381342,0.00003164148,0.00001666985,0.9919252,0.0003562423,0.000945266,0.0002306295,0.005640995],"study_design_scores_gemma":[0.000001767876,0.0000050883,0.0001164964,0.000001784779,0.000003013907,0.000001534829,0.000001873436,0.9995781,0.0000398591,0.0002019184,0.00004700811,0.000001572888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1383145,0.001165163,0.8514689,0.0006862789,0.0001585558,0.00008970141,0.0003294169,0.0003900943,0.00739746],"genre_scores_gemma":[0.9726329,0.0003838828,0.02398176,0.00006757493,0.00003116249,0.00008888802,0.0002202301,0.00001842844,0.002575228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02120066,"threshold_uncertainty_score":0.04215449,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3117154257","doi":"10.1093/jcde/qwaa089","title":"A biobjective home health care logistics considering the working time and route balancing: a self-adaptive social engineering optimizer","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Metaheuristic; Vehicle routing problem; Scheduling (production processes); Computer science; Population; Operations research; Operations management; Routing (electronic design automation); Engineering; Artificial intelligence; Medicine; Computer network","authors":[{"name":"Fariba Goodarzian","is_ca":false},{"name":"Ajith Abraham","is_ca":false},{"name":"Amir M. Fathollahi‐Fard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02356356349678254,"gpt":0.2333514766491852,"spread":0.2097879131524027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001161032,0.001256848,0.001206919,0.0008291395,0.0005246414,0.001448735,0.001020562,0.001674843,0.00218221],"category_scores_gemma":[0.002044992,0.0004940063,0.001165756,0.0006159349,0.0006405727,0.0007298312,0.001200634,0.001149913,0.0001966299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266006,"about_ca_system_score_gemma":0.001403686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006698887,"about_ca_topic_score_gemma":0.002995283,"domain_scores_codex":[0.9994851,0.0002128531,0.00002048815,0.00009089346,0.0001050864,0.00008545567],"domain_scores_gemma":[0.9991561,0.0004972095,0.00009861367,0.00003392371,0.0001515157,0.00006268141],"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":[0.0000248969,0.00005334691,0.0004315012,0.00003800603,0.00003629678,0.00005485916,0.00002104246,0.9894806,0.0004104491,0.003103222,0.0004424226,0.005903341],"study_design_scores_gemma":[0.000004525722,0.00002104717,0.00005873368,0.000004828332,0.000006897776,0.00000541136,0.00001113555,0.9989661,0.00006304138,0.0006500027,0.0002062902,0.000002047154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09556397,0.0008489063,0.88832,0.0009921503,0.0001650656,0.0002235682,0.0001535807,0.0002251726,0.01350767],"genre_scores_gemma":[0.8534458,0.0005349874,0.1391636,0.0003478933,0.00008924709,0.0004456133,0.0001947671,0.00007795726,0.005700063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006698887,"threshold_uncertainty_score":0.01331979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4367693552","doi":"10.1093/jcde/qwad039","title":"Hybrid neural network-based metaheuristics for prediction of financial markets: a case study on global gold market","year":2023,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":59,"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":"Metaheuristic; Firefly algorithm; Artificial neural network; Computer science; Hyperparameter; Novelty; Artificial intelligence; Machine learning; Convolutional neural network; Particle swarm optimization","authors":[{"name":"Mobina Mousapour Mamoudan","is_ca":false},{"name":"Ali Ostadi","is_ca":false},{"name":"Nima Pourkhodabakhsh","is_ca":false},{"name":"Amir M. Fathollahi‐Fard","is_ca":true},{"name":"Faezeh Soleimani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09818076663270471,"gpt":0.3518817096107613,"spread":0.2537009429780566,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001838246,0.001135277,0.001010807,0.001277502,0.0004618028,0.000969309,0.0009041483,0.001907076,0.001000419],"category_scores_gemma":[0.003109209,0.000326148,0.0008557575,0.0008357606,0.0006233699,0.0007688346,0.0005756351,0.001030638,0.00007390211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001153446,"about_ca_system_score_gemma":0.0008029898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01734878,"about_ca_topic_score_gemma":0.01162134,"domain_scores_codex":[0.9996915,0.0001471194,0.00001569295,0.00004635082,0.00003980174,0.00005948737],"domain_scores_gemma":[0.9978548,0.001681481,0.0001467704,0.00005513031,0.0001859305,0.00007593522],"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":[0.00005593291,0.0000816494,0.002080263,0.0000293521,0.0000349914,0.0001126753,0.00001540408,0.9918569,0.0001980754,0.000838904,0.0001936943,0.004502107],"study_design_scores_gemma":[0.000004972126,0.00001460344,0.0001752885,0.000001816141,0.000003689196,0.000003899188,0.000008940297,0.9994463,0.00009788774,0.0002077412,0.00003294557,0.000001817992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9111178,0.0009891121,0.08281127,0.0007832838,0.00005938035,0.0001087988,0.0002395798,0.0002235066,0.003667218],"genre_scores_gemma":[0.9806306,0.0001330826,0.01821226,0.0000438783,0.00001179286,0.000048237,0.00008146133,0.0000128204,0.0008259229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01734878,"threshold_uncertainty_score":0.03449559,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3201884713","doi":"10.1093/jcde/qwab051","title":"A novel lattice structure topology optimization method with extreme anisotropic lattice properties","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":58,"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":"Natural Science Foundation of Shandong Province; Natural Science Foundation of Jiangsu Province; Shandong University","keywords":"Topology optimization; Lattice (music); Topology (electrical circuits); Homogenization (climate); Mathematics; Anisotropy; Mathematical optimization; Computer science; Structural engineering; Finite element method; Physics; Engineering; Combinatorics","authors":[{"name":"Chenghu Zhang","is_ca":false},{"name":"Jikai Liu","is_ca":false},{"name":"Zhiling Yuan","is_ca":false},{"name":"Shuzhi Xu","is_ca":true},{"name":"Bin Zou","is_ca":false},{"name":"Lei Li","is_ca":false},{"name":"Yongsheng Ma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02031769075495351,"gpt":0.2181945457627767,"spread":0.1978768550078232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004316722,0.0006170139,0.000844162,0.0007717579,0.0003482877,0.0007724827,0.0008997559,0.0008204773,0.003286458],"category_scores_gemma":[0.0007957057,0.0004108417,0.0007229831,0.0005071882,0.0004528327,0.0007826415,0.0007799497,0.0007255956,0.0007387886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003767702,"about_ca_system_score_gemma":0.000753565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099437,"about_ca_topic_score_gemma":0.001597186,"domain_scores_codex":[0.9997528,0.00007373134,0.000009250905,0.00003889773,0.0001012774,0.00002396109],"domain_scores_gemma":[0.9997593,0.0001036902,0.00002876934,0.00002747487,0.00006034821,0.00002058632],"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":[0.00009106802,0.00008985009,0.0008403428,0.0002191248,0.00005167132,0.0001523178,0.00008094336,0.8244513,0.0159137,0.04041891,0.003496408,0.1141943],"study_design_scores_gemma":[0.00001181126,0.00002015838,0.00003808754,0.000004790521,0.000003817283,0.00002547231,0.000008490303,0.9949027,0.0006519455,0.002768164,0.001559574,0.000004887429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009393171,0.0001877624,0.985069,0.0001082766,0.00004273334,0.00004584326,0.00004566418,0.0001998227,0.004907714],"genre_scores_gemma":[0.2371556,0.0002298603,0.7553933,0.0001594837,0.0000548023,0.0003255628,0.0002508993,0.00032497,0.006105538],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003286458,"threshold_uncertainty_score":0.01099426,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392180792","doi":"10.1093/jcde/qwae020","title":"Revolutionizing the latent heat storage: Boosting discharge performance with innovative undulated phase change material containers in a vertical shell-and-tube system","year":2024,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Phase Change Materials Research","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Resources Canada","funders":"Engineering and Physical Sciences Research Council","keywords":"Latent heat; Phase-change material; Boosting (machine learning); Phase change; Tube (container); Shell (structure); Materials science; Thermal energy storage; Engineering; Structural engineering; Composite material; Computer science; Engineering physics; Physics; Artificial intelligence; Meteorology; Thermodynamics","authors":[{"name":"Hakim S. Sultan Aljibori","is_ca":false},{"name":"Hayder I. Mohammed","is_ca":false},{"name":"Nirmalendu Biswas","is_ca":false},{"name":"Hussein Togun","is_ca":false},{"name":"Raed Khalid Ibrahem","is_ca":false},{"name":"Jasim M. Mahdi","is_ca":false},{"name":"Wahiba Yaïci","is_ca":true},{"name":"Amir Keshmiri","is_ca":false},{"name":"Pouyan Talebizadehsardari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03697011949127055,"gpt":0.2572042458758056,"spread":0.220234126384535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001923314,0.0002496821,0.0003337974,0.0002213909,0.0002043903,0.000421104,0.0005183091,0.0002205124,0.00120311],"category_scores_gemma":[0.0002786623,0.0001230958,0.0002651077,0.0002276805,0.0002484609,0.0005542495,0.0004754168,0.0002795492,0.0003806865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817631,"about_ca_system_score_gemma":0.0001896501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000595137,"about_ca_topic_score_gemma":0.0007407142,"domain_scores_codex":[0.9998747,0.0000183899,0.00001045051,0.0000266975,0.00004218871,0.00002747301],"domain_scores_gemma":[0.9999011,0.00001660188,0.00002315317,0.00001725845,0.0000290438,0.00001285712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006949467,0.0001241786,0.002496683,0.0001847443,0.00001959672,0.0002639004,0.00009017355,0.00824507,0.9596227,0.0004318178,0.0003294491,0.02749683],"study_design_scores_gemma":[0.00005566562,0.001220485,0.004465421,0.0000162195,0.00003742834,0.0001616916,0.0001077217,0.0539773,0.9361706,0.0001079517,0.003642128,0.00003743776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911841,0.0002411833,0.007675099,0.00003256254,0.00002470477,0.000019179,0.00006500653,0.0002617116,0.000496451],"genre_scores_gemma":[0.995978,0.00008431539,0.003391743,0.00001300586,0.000004295287,0.00000863915,0.00005793917,0.00001782787,0.0004441209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00120311,"threshold_uncertainty_score":0.004024863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2224136207","doi":"10.1016/j.jcde.2015.12.001","title":"Cutter-workpiece engagement determination for general milling using triangle mesh modeling","year":2015,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Machining; Milling cutter; Process (computing); Intersection (aeronautics); Tool path; Mechanical engineering; Engineering; Polygon mesh; Engineering drawing; Path (computing); Series (stratigraphy); Cutter location; Geometry; Boundary (topology); Structural engineering; Computer science; Mathematics; Mathematical analysis","authors":[{"name":"Xun Gong","is_ca":true},{"name":"Hsi-Yung Feng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06579461531457148,"gpt":0.2805356526886614,"spread":0.2147410373740899,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005907045,0.0005628011,0.000641032,0.0007397559,0.0002768093,0.0007852229,0.0009503953,0.000770106,0.002616982],"category_scores_gemma":[0.001739314,0.0002432561,0.0007100489,0.0005574477,0.0003376089,0.0006298468,0.0007520209,0.000506416,0.0003406016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004872555,"about_ca_system_score_gemma":0.0005931539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013731,"about_ca_topic_score_gemma":0.003203692,"domain_scores_codex":[0.9995813,0.00008784267,0.00002858685,0.00006502326,0.0001988672,0.00003834562],"domain_scores_gemma":[0.9992517,0.000409148,0.00006751891,0.00009702087,0.000151853,0.00002272831],"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":[0.00009846537,0.00007250909,0.002485191,0.0001802542,0.00002240012,0.0002129415,0.0001261649,0.9056173,0.01543669,0.009543045,0.0005286356,0.06567644],"study_design_scores_gemma":[0.000002238079,0.000009428021,0.0001231675,0.000003042832,0.000001763829,0.00001277172,0.000008767549,0.9975224,0.001271505,0.000701545,0.0003409989,0.000002458984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04835505,0.00007386277,0.9467579,0.00003284663,0.00001351487,0.00005851988,0.00008118601,0.0003202416,0.00430701],"genre_scores_gemma":[0.6979287,0.0001123008,0.2995572,0.00001720454,0.000007800504,0.00009895406,0.0002735818,0.0001626398,0.001841427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004013731,"threshold_uncertainty_score":0.008754671,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898430231","doi":"10.1016/j.jcde.2018.10.006","title":"A hybridization of differential evolution and monarch butterfly optimization for solving systems of nonlinear equations","year":2018,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metaheuristic; Nonlinear system; Mathematical optimization; Differential evolution; Maxima and minima; Heuristic; Optimization problem; Computer science; Mathematics; Algorithm","authors":[{"name":"Abdelmonem M. Ibrahim","is_ca":true},{"name":"Mohamed A. Tawhid","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02470235642766716,"gpt":0.2602231180731059,"spread":0.2355207616454387,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008806919,0.0006421232,0.0007794968,0.0008398112,0.0004744613,0.0005584193,0.001160335,0.001001978,0.001132036],"category_scores_gemma":[0.001075148,0.0003971968,0.0007045118,0.0006498952,0.0005316728,0.0005654651,0.0009641502,0.0006167925,0.0001572634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008218231,"about_ca_system_score_gemma":0.0008642626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004690276,"about_ca_topic_score_gemma":0.005408857,"domain_scores_codex":[0.9996208,0.0001138561,0.00002269282,0.00005968825,0.0001455821,0.00003738656],"domain_scores_gemma":[0.999716,0.0001616091,0.00003241321,0.00002549442,0.00004738916,0.00001703935],"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":[0.00007236889,0.0000866504,0.001202664,0.0001195859,0.0001302852,0.00008308916,0.00008308805,0.8836619,0.006729561,0.01649877,0.0007752251,0.0905569],"study_design_scores_gemma":[0.000009032933,0.00002769912,0.0001039452,0.000005996522,0.000007657844,0.00001556046,0.000005970581,0.9972356,0.0006220898,0.0009814868,0.0009808688,0.000004132306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03797401,0.0007084937,0.954174,0.000297542,0.00008756625,0.00007136998,0.00002256467,0.0002510743,0.006413459],"genre_scores_gemma":[0.5545447,0.0004050758,0.4392238,0.0003256804,0.00004479248,0.0002431655,0.00008769498,0.00006752815,0.005057541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004690276,"threshold_uncertainty_score":0.009325981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2889263021","doi":"10.1016/j.jcde.2018.08.004","title":"Finite element method for the static and dynamic analysis of FRP guyed tower","year":2018,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Manitoba Hydro; University of Windsor","keywords":"Structural engineering; Finite element method; Fibre-reinforced plastic; Equilateral triangle; Serviceability (structure); Engineering; Tower; Vibration; Static analysis; Mathematics; Geometry","authors":[{"name":"Sami Alshurafa","is_ca":true},{"name":"Hanan Alhayek","is_ca":true},{"name":"Dimos Polyzois","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01001401819369631,"gpt":0.2484417148035347,"spread":0.2384276966098384,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000712754,0.0005944519,0.0006819665,0.0006433796,0.0004411373,0.0005888998,0.001196031,0.001351535,0.007000191],"category_scores_gemma":[0.0008562339,0.0005896686,0.001094084,0.0003980161,0.0003884575,0.0004873505,0.0005792785,0.001043747,0.00210899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100921,"about_ca_system_score_gemma":0.001048245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004150716,"about_ca_topic_score_gemma":0.005878332,"domain_scores_codex":[0.999627,0.00008768448,0.0000183089,0.00003571792,0.0002076243,0.00002366518],"domain_scores_gemma":[0.9995989,0.0001774233,0.00003398946,0.00003277475,0.0001421902,0.0000147447],"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":[0.00006869824,0.00009465198,0.0009959516,0.000239903,0.00005003645,0.0001820044,0.0002105372,0.9105025,0.02335316,0.01072213,0.001718829,0.05186156],"study_design_scores_gemma":[0.00000587056,0.00002383609,0.0001462511,0.00002065106,0.000004143565,0.00002442319,0.00002078761,0.9951305,0.001027038,0.0004521685,0.003138623,0.000005630935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009185694,0.0001828114,0.9848725,0.00008475826,0.00004827501,0.0001076189,0.000152648,0.0004389619,0.004926802],"genre_scores_gemma":[0.2680352,0.0005296299,0.7092842,0.00009509281,0.00003163534,0.0009771625,0.0006965952,0.0003114371,0.02003899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007000191,"threshold_uncertainty_score":0.02341795,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289885505","doi":"10.1093/jcde/qwac076","title":"A geometric modelling framework to support the design of heterogeneous lattice structures with non-linearly varying geometry","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":29,"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; McGill University","keywords":"Geometric design; Geometric modeling; Lattice (music); Software; Computer Aided Design; Computer science; Geometric shape; Representation (politics); Geometric networks; Mathematics; Geometry","authors":[{"name":"Nikita Letov","is_ca":true},{"name":"Yaoyao Fiona Zhao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02234133882158116,"gpt":0.2182332352086377,"spread":0.1958918963870565,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185332,0.001191778,0.0008936704,0.001216274,0.0004368675,0.001640061,0.001803184,0.001184847,0.003112061],"category_scores_gemma":[0.00142841,0.000546341,0.001442787,0.0008181701,0.00104204,0.001053868,0.001321688,0.001113961,0.0009954054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006277176,"about_ca_system_score_gemma":0.0009519387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824544,"about_ca_topic_score_gemma":0.002160231,"domain_scores_codex":[0.9993673,0.0001984625,0.00004003368,0.0000693186,0.0002717346,0.00005316433],"domain_scores_gemma":[0.999491,0.0002148239,0.00007462297,0.00008328312,0.0001110918,0.00002520302],"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":[0.00002492319,0.0000381739,0.0003048257,0.0001204061,0.000020595,0.0001221955,0.000102533,0.8962271,0.009772412,0.05948496,0.0006169446,0.03316494],"study_design_scores_gemma":[0.00000593294,0.00002560168,0.00003622826,0.00001291724,0.000005963675,0.00003904256,0.00001237085,0.9873998,0.001864735,0.005843899,0.004745334,0.000008111736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002839682,0.00005905904,0.9952229,0.00003458362,0.00001130256,0.00002593823,0.00002507037,0.0002535527,0.001527991],"genre_scores_gemma":[0.1623047,0.0002699262,0.8345331,0.0000430662,0.00001770304,0.000232427,0.00018936,0.0002884966,0.002121318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003112061,"threshold_uncertainty_score":0.01041085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3135803911","doi":"10.1093/jcde/qwab011","title":"Airfoil profile reconstruction from unorganized noisy point cloud data","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Algorithm; Noise (video); Point cloud; Computer science; Mathematics; Computer vision; Engineering; Structural engineering","authors":[{"name":"Hamid Ghorbani","is_ca":true},{"name":"Farbod Khameneifar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02453848477246032,"gpt":0.2230056682638355,"spread":0.1984671834913752,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004806884,0.0007164747,0.000614416,0.00110276,0.0002578249,0.0006439399,0.0006459151,0.0006604012,0.0007089627],"category_scores_gemma":[0.001818939,0.0003908469,0.0006594455,0.0008069379,0.0003798472,0.0006790918,0.0007080977,0.000705091,0.0004681857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798268,"about_ca_system_score_gemma":0.0006344501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003623703,"about_ca_topic_score_gemma":0.002884028,"domain_scores_codex":[0.9996623,0.00004968472,0.00001999751,0.00006454562,0.0001635575,0.0000399817],"domain_scores_gemma":[0.999019,0.0002033727,0.0001372141,0.0002706127,0.0003266781,0.00004306663],"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":[0.0004648897,0.0001162835,0.008693089,0.0002400231,0.00008142398,0.0006947225,0.0003571129,0.6552106,0.1123651,0.001489076,0.001293458,0.2189942],"study_design_scores_gemma":[0.000006577167,0.00002459808,0.001525421,0.000006560022,0.000004490293,0.00006100329,0.00004979061,0.9846058,0.01297154,0.0003964967,0.0003375589,0.00001024712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1327136,0.00007824652,0.8657369,0.00004667458,0.00001753669,0.0000363638,0.0001553923,0.0008355362,0.000379644],"genre_scores_gemma":[0.6984593,0.0001139869,0.2998263,0.0000224852,0.00001245883,0.00005789497,0.0007423704,0.0001110531,0.0006541925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003623703,"threshold_uncertainty_score":0.007205188,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2409698788","doi":"10.1016/j.jcde.2016.05.002","title":"Dynamic analysis and controller design for a slider–crank mechanism with piezoelectric actuators","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Slider; Connecting rod; Feedback linearization; Vibration; Engineering; Controller (irrigation); Crank; Mechanism (biology); Actuator; Computer science; Mechanical engineering; Acoustics; Physics; Control (management)","authors":[{"name":"Samin Akbari","is_ca":false},{"name":"Fatemeh Fallahi","is_ca":true},{"name":"Tohid Pirbodaghi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005200951169182097,"gpt":0.1813089405290487,"spread":0.1761079893598666,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002547347,0.0003998167,0.0002942939,0.0002746384,0.0003221612,0.0003741868,0.0005850063,0.0004848449,0.002337979],"category_scores_gemma":[0.0003488804,0.0002730627,0.0003628662,0.0001204137,0.0002919551,0.0001923986,0.0002891711,0.0002493704,0.0001708081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002105638,"about_ca_system_score_gemma":0.0003580185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002632115,"about_ca_topic_score_gemma":0.00175717,"domain_scores_codex":[0.9998795,0.0000127843,0.000006343227,0.0000302221,0.00005494636,0.00001626552],"domain_scores_gemma":[0.9998585,0.00004935761,0.0000357157,0.00001271374,0.00003627828,0.000007467906],"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":[0.0002195889,0.0000531207,0.0008095817,0.0003803416,0.00008929193,0.0005102544,0.0001541242,0.5998735,0.3416145,0.004878844,0.0004079014,0.05100882],"study_design_scores_gemma":[0.00003818411,0.0002790564,0.000916201,0.00001108412,0.00002830046,0.00006376293,0.00002103214,0.9863505,0.01097139,0.0003395849,0.0009706306,0.00001034021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2171793,0.0005931758,0.7731855,0.0001748778,0.00008192409,0.0001504986,0.00004698922,0.0004355921,0.008152023],"genre_scores_gemma":[0.9848334,0.0001159853,0.01349823,0.00001263222,0.000008293289,0.00007467898,0.00001421561,0.00000648183,0.001436111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002632115,"threshold_uncertainty_score":0.007821381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2649938423","doi":"10.1016/j.jcde.2017.06.003","title":"∊-constraint heat transfer search (∊-HTS) algorithm for solving multi-objective engineering design problems","year":2017,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":20,"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":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV; Ministry of Economic Affairs","keywords":"Benchmark (surveying); Mathematical optimization; Multi-objective optimization; Reducer; Pareto principle; Engineering design process; Algorithm; Engineering optimization; Truss; Computer science; Optimization problem; Engineering; Mathematics; Structural engineering; Mechanical engineering","authors":[{"name":"Mohamed A. Tawhid","is_ca":true},{"name":"Vimal Savsani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03419872405366283,"gpt":0.2674969015350548,"spread":0.233298177481392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007875384,0.0008431455,0.0007363773,0.0008349733,0.0005658244,0.0005602105,0.0009738314,0.0008963434,0.003548963],"category_scores_gemma":[0.001225337,0.0004059968,0.0007614437,0.0007839141,0.000398587,0.0005105152,0.00068059,0.0008094493,0.0003960729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006162951,"about_ca_system_score_gemma":0.001510312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005614355,"about_ca_topic_score_gemma":0.004996689,"domain_scores_codex":[0.9996191,0.000114521,0.00002210289,0.0000481619,0.0001579763,0.00003816102],"domain_scores_gemma":[0.9995546,0.0002532965,0.00003875835,0.00002314442,0.0001093547,0.00002084362],"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":[0.00005261237,0.00004438602,0.0004035706,0.00009846472,0.00004454312,0.00004395802,0.00003740437,0.9083723,0.002451938,0.005020817,0.001208611,0.08222137],"study_design_scores_gemma":[0.00001085031,0.0000186173,0.00005637836,0.000004858781,0.000003875536,0.000008852393,0.000004608787,0.9980405,0.0005190462,0.0008084301,0.0005213609,0.000002586101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009450511,0.000186168,0.9868922,0.00007364067,0.00002679453,0.00007456665,0.00002679279,0.0002245431,0.003044823],"genre_scores_gemma":[0.2730675,0.0002260485,0.7211977,0.0001265809,0.00004073379,0.0006118608,0.0001751532,0.0001266057,0.004427844],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005614355,"threshold_uncertainty_score":0.01187241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3015497865","doi":"10.1093/jcde/qwaa039","title":"An efficient controlled elitism non-dominated sorting genetic algorithm for multi-objective supplier selection under fuzziness","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Sorting; Mathematical optimization; TOPSIS; Genetic algorithm; Particle swarm optimization; Taguchi methods; Selection (genetic algorithm); Ideal solution; Multi-objective optimization; Supply chain; Computer science; Fuzzy logic; Maximization; Algorithm; Mathematics; Operations research; Artificial intelligence; Machine learning","authors":[{"name":"Vahid Hajipour","is_ca":false},{"name":"Madjid Tavana","is_ca":false},{"name":"Francisco J. Santos‐Arteaga","is_ca":false},{"name":"Alireza Alinezhad","is_ca":false},{"name":"Debora Di Caprio","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07019889654136877,"gpt":0.3544353585863633,"spread":0.2842364620449945,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001829436,0.0008612736,0.00102637,0.001123485,0.0005359016,0.0009680815,0.001510254,0.001351829,0.001043965],"category_scores_gemma":[0.002518988,0.000447244,0.0007172307,0.0009257063,0.0007791626,0.0005493409,0.0007338546,0.0007554138,0.0001380337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131561,"about_ca_system_score_gemma":0.001806018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008876271,"about_ca_topic_score_gemma":0.005941108,"domain_scores_codex":[0.9993225,0.0002594991,0.00003103264,0.00008454997,0.0002214441,0.0000809885],"domain_scores_gemma":[0.9990562,0.0006027455,0.00008743906,0.00003526569,0.0001878106,0.00003063878],"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":[0.00003695637,0.00003867237,0.0003526005,0.00002869332,0.00002538631,0.00003622762,0.00005261032,0.9730435,0.001197713,0.003026386,0.0002028364,0.02195841],"study_design_scores_gemma":[0.00001433963,0.00002389848,0.00004780892,0.000004301588,0.000004360004,0.000005120085,0.000004718755,0.9988307,0.0002626027,0.0006947499,0.0001050509,0.000002304346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04249914,0.0001675947,0.9548943,0.0001322098,0.00002492281,0.0001012671,0.00002544958,0.0001956386,0.001959409],"genre_scores_gemma":[0.6789455,0.000152025,0.3176559,0.0001444261,0.00001946053,0.0003949385,0.00009197174,0.00003447908,0.002561295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008876271,"threshold_uncertainty_score":0.01764917,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4303685875","doi":"10.1093/jcde/qwac107","title":"Twisted-fin parametric study to enhance the solidification performance of phase-change material in a shell-and-tube latent heat thermal energy storage system","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Phase Change Materials Research","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":"Natural Resources Canada","funders":"","keywords":"Fin; Annular fin; Materials science; Latent heat; Thermal energy storage; Heat transfer; Mechanics; Phase-change material; Thermal conduction; Thermodynamics; Thermal; Heat transfer coefficient; Composite material; Physics","authors":[{"name":"Bo Liu","is_ca":false},{"name":"Jasim M. Mahdi","is_ca":false},{"name":"Alireza Rahbari","is_ca":false},{"name":"Hasan Sh. Majdi","is_ca":false},{"name":"Xin Yi","is_ca":false},{"name":"Wahiba Yaïci","is_ca":true},{"name":"Pouyan Talebizadehsardari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04084439053015943,"gpt":0.2734285288958825,"spread":0.2325841383657231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000154466,0.0002040669,0.0002357921,0.0001574456,0.0001777319,0.0002729188,0.0003041217,0.0002198609,0.001303309],"category_scores_gemma":[0.0002905703,0.0001017691,0.0002162274,0.0001624123,0.0002989694,0.0002641615,0.0002681329,0.0002028742,0.0000917948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791309,"about_ca_system_score_gemma":0.0001442088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005770502,"about_ca_topic_score_gemma":0.0005875741,"domain_scores_codex":[0.9999517,0.000006306443,0.000002023791,0.000009424898,0.00001556749,0.00001491488],"domain_scores_gemma":[0.9998734,0.00005563678,0.00002171818,0.00001620556,0.00002269725,0.00001040262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009721536,0.0001874837,0.004804438,0.0003685163,0.00004292285,0.0007025584,0.0002328292,0.3864043,0.5851091,0.002387512,0.0003890771,0.01839901],"study_design_scores_gemma":[0.00005355946,0.001957754,0.00573354,0.0000256592,0.00004151492,0.000127716,0.0001745733,0.6630815,0.3268791,0.0004966437,0.001389289,0.00003924395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961002,0.0000700262,0.002493079,0.00001966387,0.000007678476,0.000007735925,0.00004677326,0.0000264184,0.001228386],"genre_scores_gemma":[0.9994717,0.00001606446,0.0003508482,0.000001392381,4.476184e-7,0.000003100791,0.000006717475,0.000002022663,0.0001476351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001303309,"threshold_uncertainty_score":0.00436002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4365457819","doi":"10.1093/jcde/qwad033","title":"Laser–tissue interaction simulation considering skin-specific data to predict photothermal damage lesions during laser irradiation","year":2023,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Optical Coherence Tomography Applications","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":"Université Laval","funders":"National Research Foundation of Korea; Ministry of Trade, Industry and Energy; Ministry of Science and ICT, South Korea; Ministry of Food and Drug Safety; Korea Medical Device Development Fund; Ministry of Education; Ministry of Health and Welfare","keywords":"Photothermal therapy; Laser; Monte Carlo method; Optical coherence tomography; Materials science; Irradiation; Attenuation coefficient; Absorption (acoustics); Optics; Biomedical engineering; Radiation; Biological system; Mathematics; Composite material; Physics; Nanotechnology; Engineering; Statistics","authors":[{"name":"Seung‐Hoon Um","is_ca":true},{"name":"Yong Guk Kang","is_ca":false},{"name":"Minwoo Shin","is_ca":false},{"name":"Hojeong Jeon","is_ca":false},{"name":"Beop‐Min Kim","is_ca":false},{"name":"Deukhee Lee","is_ca":false},{"name":"Kyungho Yoon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04653069397089487,"gpt":0.2771957475090756,"spread":0.2306650535381807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002202113,0.0003618994,0.0004028117,0.0002894088,0.0002848426,0.0004598162,0.0004229758,0.0009340076,0.001068212],"category_scores_gemma":[0.0008750603,0.0003114717,0.0005493155,0.0002474864,0.0003373659,0.0003755125,0.0002957484,0.0003161345,0.0001722311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170266,"about_ca_system_score_gemma":0.0008012006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007578647,"about_ca_topic_score_gemma":0.004908034,"domain_scores_codex":[0.9999043,0.00002692897,0.000004474029,0.00001563384,0.000031692,0.00001694685],"domain_scores_gemma":[0.999645,0.0002214938,0.00004019705,0.00002449763,0.00005032645,0.0000185227],"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":[0.00001451066,0.00001378829,0.0004299049,0.000009130696,0.000005487356,0.00003403307,0.00001306167,0.9949563,0.003499419,0.0001902889,0.00002989988,0.0008041598],"study_design_scores_gemma":[0.000001631098,0.000007280491,0.0001124376,8.544919e-7,0.000001639943,0.0000081537,0.000003066457,0.9991159,0.0006547904,0.00004541627,0.00004714891,0.000001609072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7165091,0.0004657975,0.2760397,0.0002136491,0.00004764983,0.00009548456,0.0002274804,0.0003596694,0.006041424],"genre_scores_gemma":[0.9855362,0.0001315427,0.01261817,0.00003635112,0.000005266505,0.00007803253,0.00007034648,0.00004499303,0.001479176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007578647,"threshold_uncertainty_score":0.01506907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307096839","doi":"10.1093/jcde/qwac109","title":"A novel bio-inspired approach with multi-resolution mapping for the path planning of multi-robot system in complex environments","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Shenzhen Graduate School, Peking University","keywords":"Motion planning; Computer science; Path (computing); Robot; Stability (learning theory); Computation; Interference (communication); Artificial intelligence; Algorithm; Machine learning","authors":[{"name":"Xin Yi","is_ca":false},{"name":"Anmin Zhu","is_ca":false},{"name":"Chaofan Li","is_ca":false},{"name":"Simon X. Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06823519760274802,"gpt":0.2391023343168718,"spread":0.1708671367141238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000349105,0.0007496793,0.0005592294,0.000636509,0.0004974356,0.0006067522,0.001207643,0.0009321492,0.001606726],"category_scores_gemma":[0.0005906012,0.0004242486,0.0007454238,0.0005280562,0.0004621791,0.001078637,0.001043474,0.0007404244,0.0002057763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005920908,"about_ca_system_score_gemma":0.0008512042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003901518,"about_ca_topic_score_gemma":0.003228113,"domain_scores_codex":[0.9998214,0.00003923815,0.00001071056,0.00005098237,0.00005558292,0.000022132],"domain_scores_gemma":[0.9998406,0.00005846909,0.00002560952,0.00002071734,0.00003946912,0.00001513734],"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":[0.00002542517,0.0000310985,0.0003872989,0.00008186803,0.00003963499,0.0001037594,0.0000913094,0.9099439,0.007581819,0.01291276,0.0007222372,0.06807882],"study_design_scores_gemma":[0.000001910155,0.0000104774,0.00003269466,0.000002684095,0.000003505962,0.00001613047,0.000004809204,0.9977586,0.0003722881,0.001390034,0.0004029452,0.000003879696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004709715,0.0001903144,0.9933943,0.00008488139,0.00002258177,0.00001849472,0.00001213779,0.0001423808,0.001425224],"genre_scores_gemma":[0.4408391,0.0004296712,0.5542029,0.0001539323,0.0000398523,0.0002125908,0.00007775054,0.00007221972,0.003972109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003901518,"threshold_uncertainty_score":0.007757604,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4213255064","doi":"10.1093/jcde/qwab069","title":"A heterogeneous lattice structure modeling technique supported by multiquadric radial basis function networks","year":2021,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Topology Optimization in Engineering","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Academic Excellence Foundation of BUAA for PHD Students","keywords":"Cable gland; Lattice (music); Basis (linear algebra); Function (biology); Architectural geometry; Computer science; Mathematical optimization; Engineering; Topology (electrical circuits); Mathematics; Mechanical engineering; Engineering drawing; Geometry","authors":[{"name":"Yuan Liu","is_ca":false},{"name":"Huiyuan Yang","is_ca":true},{"name":"Yaoyao Fiona Zhao","is_ca":true},{"name":"Guolei Zheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006829751502120535,"gpt":0.1920773959693373,"spread":0.1852476444672168,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004873916,0.0005481915,0.0005746202,0.0006174557,0.0003656667,0.0007387235,0.001049898,0.0008349292,0.001616662],"category_scores_gemma":[0.0005638416,0.0003383573,0.0006494276,0.0005621888,0.0004597604,0.0007747769,0.0005795786,0.0006688748,0.0005845822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321575,"about_ca_system_score_gemma":0.0006201261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003528448,"about_ca_topic_score_gemma":0.003555024,"domain_scores_codex":[0.9997945,0.00008068955,0.000006524783,0.00002566822,0.00007413512,0.00001846515],"domain_scores_gemma":[0.9998338,0.00005348968,0.00002671241,0.00002891679,0.00004399698,0.00001310525],"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":[0.00002092889,0.00003026738,0.0002219967,0.00002635531,0.00001057361,0.00005883876,0.000025519,0.9587919,0.005247373,0.01957154,0.0003613078,0.01563346],"study_design_scores_gemma":[6.780506e-7,0.0000025734,0.000008924856,0.000001080346,6.211891e-7,0.000004204027,0.000001480821,0.9989711,0.0002011657,0.000594679,0.0002122315,0.00000122479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008248708,0.00006864343,0.9893416,0.00004726855,0.00001271883,0.0000162741,0.00002796947,0.0001277209,0.00210901],"genre_scores_gemma":[0.4200962,0.000312752,0.5749763,0.00007414211,0.00002374602,0.0001636977,0.0001546659,0.0001312967,0.004067159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003528448,"threshold_uncertainty_score":0.007015824,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2922260712","doi":"10.1016/j.jcde.2019.03.002","title":"Variational B-rep model analysis for direct modeling using geometric perturbation","year":2019,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Dynamics and Control of Mechanical Systems","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":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generalization; Boundary representation; Representation (politics); Constraint (computer-aided design); Perturbation (astronomy); Geometric modeling; Boundary (topology)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01670096954264236,"gpt":0.2056989746877028,"spread":0.1889980051450605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006165407,0.000694029,0.0006335274,0.0007448185,0.0003491414,0.0009661341,0.0009654197,0.0008826207,0.005318306],"category_scores_gemma":[0.00128414,0.0003655341,0.0009139773,0.0003944114,0.001033635,0.0009158379,0.001475975,0.001017804,0.0007009669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005116464,"about_ca_system_score_gemma":0.000645712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002543476,"about_ca_topic_score_gemma":0.001908731,"domain_scores_codex":[0.999681,0.0001025965,0.0000116265,0.00004306287,0.0001379905,0.00002372119],"domain_scores_gemma":[0.9996568,0.0001524863,0.00004402159,0.00005801973,0.00006721292,0.00002151346],"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":[0.00002855382,0.00004329145,0.0003869671,0.00006499857,0.00002533596,0.0001591642,0.00006601505,0.7845862,0.008063975,0.1863356,0.0009506334,0.01928936],"study_design_scores_gemma":[0.000001185087,0.000008756674,0.00002587608,0.00000235302,0.000001212797,0.00001345014,0.000006824369,0.9873166,0.0003413089,0.01180808,0.0004716874,0.00000259605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008410821,0.00004389583,0.9879995,0.00006350656,0.00001344561,0.0000297475,0.00004078662,0.0001250233,0.00327328],"genre_scores_gemma":[0.6266953,0.0003011024,0.3596313,0.0001117299,0.00004995539,0.0003056317,0.0002911365,0.0003316254,0.01228222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005318306,"threshold_uncertainty_score":0.01779151,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297688052","doi":"10.1093/jcde/qwac084","title":"TransNav: spatial sequential transformer network for visual navigation","year":2022,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Key Research and Development Program of China; Ministry of Natural Resources","keywords":"Computer science; Reinforcement learning; Artificial intelligence; Inference; Transformer; Machine learning; Engineering","authors":[{"name":"Kang Zhou","is_ca":false},{"name":"Huyin Zhang","is_ca":false},{"name":"Fei Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0128942149528395,"gpt":0.2588550867853863,"spread":0.2459608718325468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003195263,0.001073774,0.0006983482,0.0005276091,0.000309045,0.0005803832,0.002061954,0.0008567619,0.004898005],"category_scores_gemma":[0.001216274,0.0004125416,0.0006788339,0.0005375145,0.0004949112,0.001330895,0.0009793605,0.001411134,0.001005938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089311,"about_ca_system_score_gemma":0.001411871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02459667,"about_ca_topic_score_gemma":0.02723665,"domain_scores_codex":[0.9998435,0.00002277761,0.000006709375,0.00006133805,0.00003465881,0.00003106262],"domain_scores_gemma":[0.9997619,0.00007494335,0.00002201247,0.00004147042,0.0000697358,0.00002990599],"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":[0.0003791875,0.0001932914,0.001796857,0.0001702004,0.000100821,0.0001726438,0.0000688619,0.6873364,0.00675053,0.01381204,0.01700461,0.2722146],"study_design_scores_gemma":[0.00001050112,0.00002339559,0.00007843586,0.000005310048,0.000007492076,0.00001345006,0.000004390294,0.9937831,0.0009698616,0.004350415,0.0007494688,0.000004132048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06758702,0.001611855,0.9036824,0.0006712142,0.0003337302,0.0001287197,0.002129746,0.0143398,0.009515453],"genre_scores_gemma":[0.8376848,0.0007028612,0.1441861,0.0003794252,0.00006721703,0.0001959444,0.004014095,0.0004470628,0.01232253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02459667,"threshold_uncertainty_score":0.04890698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2564475350","doi":"10.1016/j.jcde.2016.12.001","title":"Designing a generic human-machine framework for real-time supply chain planning","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":3,"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":"Computer science; Scheme (mathematics); Convex hull; Mathematical optimization; Decision support system; Software; Regular polygon; Artificial intelligence; Mathematics","authors":[{"name":"Jonathan Gaudreault","is_ca":true},{"name":"Claude-Guy Quimper","is_ca":true},{"name":"Philippe Marier","is_ca":true},{"name":"Mathieu Bouchard","is_ca":true},{"name":"François Chéné","is_ca":true},{"name":"Jean Bouchard","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02589995739839455,"gpt":0.2390234521150297,"spread":0.2131234947166352,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002367266,0.0008963583,0.000675376,0.0006510206,0.0008408437,0.001862068,0.00227664,0.001522991,0.008331806],"category_scores_gemma":[0.003489896,0.0006623038,0.00100534,0.0004832867,0.001191765,0.00143192,0.002094807,0.001209106,0.001367442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109706,"about_ca_system_score_gemma":0.001392063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005490277,"about_ca_topic_score_gemma":0.005780392,"domain_scores_codex":[0.9988084,0.000441756,0.00007453681,0.0002449718,0.0003201885,0.0001102377],"domain_scores_gemma":[0.9987936,0.0006544549,0.00007702694,0.0001955735,0.0001775511,0.0001018324],"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":[0.0003010855,0.0002133315,0.001190512,0.0002447174,0.0001021619,0.0003571806,0.0005106463,0.843012,0.01229788,0.04098637,0.003048364,0.09773584],"study_design_scores_gemma":[0.00001558181,0.00002259738,0.00005197359,0.00000812118,0.000006197553,0.00002296558,0.00001787796,0.9916977,0.001461137,0.004252294,0.002436108,0.000007518388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003947372,0.00003132952,0.9927642,0.00007003549,0.00001161893,0.00008653205,0.0000293806,0.002180065,0.000879489],"genre_scores_gemma":[0.1685441,0.00005777677,0.829237,0.00005852889,0.00001932522,0.0003053884,0.0001099184,0.0002326091,0.001435399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008331806,"threshold_uncertainty_score":0.02787268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034731855","doi":"10.1093/jcde/qwaa059","title":"A fuzzy-based framework to support multicriteria design of mechatronic systems","year":2020,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mechatronics; Fuzzy logic; Conceptual design; Process (computing); Range (aeronautics); Fuzzy set; Identification (biology); Engineering design process; Measure (data warehouse)","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.03483809038751014,"gpt":0.260161083025475,"spread":0.2253229926379649,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003357931,0.0009893266,0.0009195743,0.001453155,0.0007682132,0.001772382,0.001611403,0.001244744,0.003024359],"category_scores_gemma":[0.002996283,0.0004446136,0.001410801,0.0008726041,0.001157459,0.001037093,0.001444342,0.00122883,0.000379697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485541,"about_ca_system_score_gemma":0.001610621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00539372,"about_ca_topic_score_gemma":0.0051742,"domain_scores_codex":[0.9986365,0.0005999852,0.000106092,0.0001582184,0.0004098597,0.00008923479],"domain_scores_gemma":[0.9989114,0.0005201953,0.0001005784,0.00007712666,0.0003369859,0.00005370565],"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":[0.00004574675,0.00005771053,0.0002659892,0.0001537388,0.00005077694,0.0001634171,0.0002073803,0.8251035,0.004269197,0.1335036,0.0004518674,0.03572703],"study_design_scores_gemma":[0.000009161393,0.00002731722,0.00003683334,0.00002607022,0.000009454434,0.00001526268,0.00001937659,0.9806061,0.0005121811,0.0169366,0.001794888,0.00000667508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003197491,0.0001086428,0.9949766,0.00005334,0.00001756043,0.00005229425,0.00001415812,0.00004751933,0.001532505],"genre_scores_gemma":[0.2681725,0.0002229628,0.7293258,0.00004930757,0.00003292882,0.0003009787,0.00006607534,0.00003286332,0.001796583],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00539372,"threshold_uncertainty_score":0.01775867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414861064","doi":"10.1093/jcde/qwaf100","title":"Optimizing Markov decision process state design for deep reinforcement learning manufacturing scheduling using Bayesian optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Incheon National University","keywords":"Reinforcement learning; Markov decision process; Scheduling (production processes); Job shop scheduling; Dynamic priority scheduling; Bayesian optimization; Feature selection; Partially observable Markov decision process","authors":[{"name":"Woo‐Sik Yoo","is_ca":false},{"name":"J.-G. Kim","is_ca":false},{"name":"David Molina Concha","is_ca":true},{"name":"Chi-Guhn Lee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01109700207048009,"gpt":0.2358760649696818,"spread":0.2247790628992017,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001978111,0.0009528892,0.0013646,0.0005081122,0.0003401289,0.0009354696,0.001005531,0.001044723,0.002396285],"category_scores_gemma":[0.004938869,0.0006939853,0.0007062279,0.0003934334,0.0009863738,0.0008519637,0.001015504,0.001676879,0.0003138665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371735,"about_ca_system_score_gemma":0.002019288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007205281,"about_ca_topic_score_gemma":0.006554819,"domain_scores_codex":[0.99932,0.000272192,0.00002688894,0.0001349045,0.0001361154,0.0001098213],"domain_scores_gemma":[0.9972759,0.001984588,0.0002012724,0.00007439037,0.0003593455,0.0001044614],"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":[0.00003609817,0.0000245719,0.0002090797,0.0000223726,0.00001364473,0.00001213423,0.00001304139,0.9881467,0.0003568297,0.002796141,0.0001553589,0.008213997],"study_design_scores_gemma":[0.000002912057,0.000007006773,0.00001549657,0.000001452976,0.00000140906,6.410175e-7,8.816067e-7,0.9992241,0.00005651071,0.0006623765,0.00002624939,8.744532e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02380617,0.0001799119,0.9737998,0.0002538527,0.00002482013,0.00005378694,0.00003828518,0.0002677327,0.001575736],"genre_scores_gemma":[0.9059222,0.0001285069,0.09140905,0.0001741783,0.00002517916,0.0002221183,0.0001164605,0.00006981475,0.001932482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007205281,"threshold_uncertainty_score":0.01432669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2770610194","doi":"10.1016/j.jcde.2017.11.004","title":"Interdisciplinary semantic model for managing the design of a steam-assisted gravity drainage tooling system","year":2017,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"University of Alberta; Natural Sciences and Engineering Research Council of Canada; Canadian Association of Petroleum Producers","keywords":"Unified Modeling Language; Systems engineering; Computer science; Process (computing); Steam-assisted gravity drainage; Activity diagram; Engineering; Software engineering; Software; Programming language","authors":[{"name":"Michael Leitch","is_ca":true},{"name":"Yishak Yusuf","is_ca":true},{"name":"Yongsheng Ma","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04385284324487759,"gpt":0.2963181585078069,"spread":0.2524653152629293,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001351275,0.0006928912,0.0004657693,0.001389607,0.0008099678,0.00243191,0.001485908,0.001391364,0.00335698],"category_scores_gemma":[0.001513549,0.0003835912,0.001454159,0.0007481156,0.001151109,0.001870177,0.00162119,0.0008276591,0.000586383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350056,"about_ca_system_score_gemma":0.00267459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005718213,"about_ca_topic_score_gemma":0.00611556,"domain_scores_codex":[0.9988831,0.0003666764,0.0001073769,0.0001620202,0.0003745109,0.0001063679],"domain_scores_gemma":[0.9995221,0.0001444077,0.00005839318,0.0001156803,0.0001185877,0.00004090451],"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":[0.0001316383,0.0001535096,0.001981331,0.0002686167,0.00006307751,0.0007913674,0.001125125,0.5423639,0.0147027,0.3850378,0.001747077,0.0516338],"study_design_scores_gemma":[0.00003568541,0.00008580265,0.0002945513,0.0000697697,0.00005194891,0.0001156045,0.0002168625,0.9141471,0.005697017,0.04769233,0.03157099,0.00002231777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01417606,0.0000774668,0.9772217,0.0002165597,0.00002403392,0.0001633565,0.0001414522,0.0007913808,0.007187948],"genre_scores_gemma":[0.3824221,0.000279137,0.6096375,0.0001122476,0.00001894388,0.0006342996,0.0006946198,0.0001756038,0.006025608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005718213,"threshold_uncertainty_score":0.01136982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415502605","doi":"10.1093/jcde/qwaf112","title":"AR-RBMO: An enhanced red-billed blue magpie optimizer with attraction-repulsion and dynamic balancing strategies for global optimization","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"National Natural Science Foundation of China","keywords":"Benchmark (surveying); Global optimization; Metaheuristic; Flexibility (engineering); Convergence (economics); Population; Robustness (evolution); Swarm intelligence; Optimization problem; Wilcoxon signed-rank test","authors":[{"name":"Mingyang Gu","is_ca":false},{"name":"Xiaoping Liu","is_ca":true},{"name":"Hongwu Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01051717962066723,"gpt":0.2738454120282298,"spread":0.2633282324075626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000675838,0.001028808,0.0008465952,0.0007441123,0.0003990519,0.000779492,0.001153305,0.0009846654,0.00210397],"category_scores_gemma":[0.0008063118,0.0003458862,0.0007351842,0.0004264611,0.0003829609,0.000494307,0.000978358,0.0006941645,0.0005928368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831572,"about_ca_system_score_gemma":0.0005833419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344279,"about_ca_topic_score_gemma":0.002190979,"domain_scores_codex":[0.9996641,0.0001101188,0.0000166516,0.00004741495,0.0001255146,0.00003624391],"domain_scores_gemma":[0.9997806,0.00007703515,0.00003757596,0.00002497385,0.00006006144,0.00001977134],"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":[0.000118733,0.0001173685,0.0006248296,0.0001108762,0.000100838,0.00009547646,0.00003899037,0.9066486,0.01030421,0.006220275,0.002503028,0.07311684],"study_design_scores_gemma":[0.00001505202,0.0000560417,0.0001122399,0.000005718827,0.000007614721,0.00001275345,0.000003915105,0.9974836,0.0006840448,0.000474885,0.001138688,0.000005535344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08613519,0.001751202,0.8915888,0.0004775314,0.0002190898,0.0001704494,0.00009269384,0.002211618,0.01735347],"genre_scores_gemma":[0.7277209,0.0004600122,0.2630005,0.0004136134,0.0000930091,0.0003703267,0.0002336398,0.0002190201,0.007489067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002344279,"threshold_uncertainty_score":0.007038534,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411020509","doi":"10.1093/jcde/qwaf053","title":"Optimizing image format piping and instrumentation diagram recognition: Integrating symbol and text recognition with a single backbone architecture","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Design and Engineering","topic":"Handwritten Text Recognition Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"ASTER","funders":"Ministry of Science and ICT, South Korea; Ministry of Education, India; National Research Foundation; National Research Foundation of Korea; Ministry of Education","keywords":"Symbol (formal); Instrumentation (computer programming); Architecture; Piping; Diagram; Computer science; Engineering drawing; Artificial intelligence; Pattern recognition (psychology); Computer vision; Speech recognition; Natural language processing; Engineering; Mechanical engineering; Programming language; Database","authors":[{"name":"Junhyung Byun","is_ca":false},{"name":"Duhwan Mun","is_ca":false},{"name":"Gwang Lee","is_ca":true},{"name":"Hyungki Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01171334417516466,"gpt":0.2171274700654885,"spread":0.2054141258903238,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000325895,0.00101023,0.0006228443,0.0005433824,0.0002181104,0.0008307485,0.001076337,0.0007739242,0.002777967],"category_scores_gemma":[0.0007531827,0.0002577635,0.0006486158,0.0004932242,0.0003038009,0.001260452,0.0004251293,0.000737313,0.001957238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000636469,"about_ca_system_score_gemma":0.0009645526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006818993,"about_ca_topic_score_gemma":0.007249841,"domain_scores_codex":[0.9997664,0.00001945632,0.0000106852,0.00009509714,0.00006505069,0.00004325363],"domain_scores_gemma":[0.9997321,0.00005898041,0.00002829487,0.00004621283,0.0001109613,0.00002353065],"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":[0.0002674624,0.0002151179,0.001775066,0.0001248917,0.00009469653,0.0001360827,0.00004055797,0.2593512,0.08642159,0.001427124,0.004704228,0.6454419],"study_design_scores_gemma":[0.000007319768,0.00005538031,0.0004153462,0.000004803618,0.00002398723,0.00003233757,0.000008079961,0.9730688,0.02511949,0.000564211,0.0006940734,0.000006160531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1067945,0.0004555274,0.8728054,0.0002766784,0.00009754059,0.0001024099,0.0002410426,0.01503251,0.004194316],"genre_scores_gemma":[0.7522815,0.0002456588,0.2386586,0.0002063268,0.000038744,0.0001163185,0.0006716069,0.0002709269,0.007510304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006818993,"threshold_uncertainty_score":0.01355857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}