{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":27,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":27,"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"},"query_hash":"ffb5f40919e0","filters":{"venue":"Archives of Computational Methods in Engineering"}},"results":[{"id":"W3045530378","doi":"10.1007/s11831-020-09471-9","title":"Machine Learning Algorithms in Civil Structural Health Monitoring: A Systematic Review","year":2020,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":502,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Structural health monitoring; Algorithm; Computer science; Cluster analysis; Machine learning; Support vector machine; Domain (mathematical analysis); Artificial intelligence; Construction engineering; Engineering; Structural engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.02753050107440204,"gpt":0.3647917994523548,"spread":0.3372612983779528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006597576,0.0005562954,0.003308868,0.0006828133,0.00002605592,0.00001858754,0.0004011701,0.00009820267,0.000002500042],"category_scores_gemma":[0.0005250382,0.0005219138,0.0003458808,0.0007172426,0.00002392165,0.00008476652,0.0001042548,0.00122876,0.000001249813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102039,"about_ca_system_score_gemma":0.0001091847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001080444,"about_ca_topic_score_gemma":9.304801e-7,"domain_scores_codex":[0.9967507,0.0004572754,0.001759419,0.0003365839,0.0002574614,0.0004385735],"domain_scores_gemma":[0.9976351,0.001692679,0.0003417316,0.0002001583,0.00001892073,0.0001113828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[4.847103e-7,0.000001804523,0.000003998885,0.4794976,0.00006598848,0.00001006111,0.0001968091,0.277011,6.875846e-7,0.00007281161,3.999283e-7,0.2431383],"study_design_scores_gemma":[0.0001509314,0.00002781043,0.00002664576,0.6384135,0.0001149683,0.00005679291,0.00001519275,0.3548845,0.000003084758,0.0004175045,0.005458801,0.0004301763],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[5.492499e-7,0.7970216,0.2014775,0.000006614845,0.0005040946,0.0008102912,0.00001291542,0.0001154613,0.00005108245],"genre_scores_gemma":[0.00005040968,0.661405,0.3382159,0.000004109581,0.0001040704,0.0001060763,0.00003274019,0.00007951804,0.000002228434],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2427081,"threshold_uncertainty_score":0.9997233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2970816924","doi":"10.1007/s11831-019-09354-8","title":"Recent Advances and Future Directions on Underwater Wireless Communications","year":2019,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Underwater Vehicles and Communication Systems","field":"Engineering","cited_by":305,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Ministry of Education and Science","keywords":"Underwater; Wireless; Telecommunications; Underwater acoustic communication; Computer science; Software deployment; Wireless network; The Internet; Environmental science; Systems engineering; Engineering; Oceanography; Geology; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01934993000762793,"gpt":0.3033293767183377,"spread":0.2839794467107097,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001461987,0.0001048429,0.0001696471,0.0002009339,0.00002740911,0.0000126424,0.0002107713,0.00002936261,0.000006502152],"category_scores_gemma":[0.00000270466,0.0001056681,0.00002975135,0.0001642239,0.00003214791,0.0000635508,0.00006530038,0.0001694054,0.000002546655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001809006,"about_ca_system_score_gemma":0.000006490764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001733174,"about_ca_topic_score_gemma":0.000002492752,"domain_scores_codex":[0.9993527,0.0000953289,0.0002592267,0.0001051256,0.00007879546,0.000108816],"domain_scores_gemma":[0.9988421,0.0007969537,0.00003137785,0.0002803838,0.00001632149,0.00003283554],"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":[0.000004604139,0.00002047459,0.0004090582,0.0001176898,0.00002459785,1.002195e-7,0.0007701227,0.491815,0.003243535,0.003686093,6.04864e-7,0.4999081],"study_design_scores_gemma":[0.0002938589,0.00002804736,0.007202873,0.0001393356,0.000004143483,0.000005253885,0.0002163146,0.8278697,0.002138638,0.005573562,0.1563617,0.0001665726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1340963,0.02581667,0.8290125,0.000836656,0.0004199497,0.0004627492,0.00001486779,0.0002939253,0.009046355],"genre_scores_gemma":[0.5129062,0.01028252,0.4767023,0.00001427654,0.00002808536,0.00002383817,0.00001023081,0.00002088196,0.00001164189],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4997416,"threshold_uncertainty_score":0.4309022,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3209130730","doi":"10.1007/s11831-021-09665-9","title":"A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives","year":2021,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":288,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Structural health monitoring; Risk analysis (engineering); Aerospace; Computer science; Construction engineering; Systems engineering; Automotive industry; Engineering; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.1696147969103231,"gpt":0.5054788487096382,"spread":0.3358640517993152,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007631936,0.0005040421,0.002065414,0.0006355962,0.00005387756,0.00002428208,0.0002439234,0.0001291022,0.000004988613],"category_scores_gemma":[0.001516982,0.0005047098,0.0002698696,0.0004673695,0.00009073644,0.00008107719,0.0001056433,0.0009298431,3.556118e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001841287,"about_ca_system_score_gemma":0.0001474708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005346823,"about_ca_topic_score_gemma":7.979487e-8,"domain_scores_codex":[0.9969397,0.0008998765,0.001114027,0.0004449374,0.0002145013,0.0003869651],"domain_scores_gemma":[0.9895537,0.009795649,0.0001487339,0.000289802,0.00005098047,0.0001611526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[8.284028e-7,0.000006078871,0.000001198489,0.07823562,0.00005891193,0.000004016167,0.0002105062,0.005307405,9.024804e-7,0.009792569,0.000007016162,0.9063749],"study_design_scores_gemma":[0.0004137768,0.0003301483,0.001733171,0.8139161,0.0004485659,0.000595832,0.0002061447,0.04893399,0.00008796281,0.05088475,0.08002204,0.002427524],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003851921,0.8335176,0.1652106,0.00004475026,0.0004974991,0.0004225757,0.00003208006,0.0002116944,0.0000594105],"genre_scores_gemma":[0.00001695486,0.5036176,0.496132,0.000005276656,0.000085451,0.00007601019,0.0000157903,0.00005053134,4.409911e-7],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9039474,"threshold_uncertainty_score":0.9997405,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091781165","doi":"10.1007/s11831-020-09506-1","title":"Artificial Intelligence in Materials Modeling and Design","year":2020,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":93,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Field (mathematics); Artificial intelligence; Principal (computer security); Deep learning; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.06341163586242204,"gpt":0.3544708768920954,"spread":0.2910592410296734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263673,0.0001118051,0.0002495775,0.0001716357,0.0000193426,0.00003870386,0.0002193721,0.00002490067,0.00003918635],"category_scores_gemma":[0.0009931081,0.0001172652,0.00001464987,0.0001995674,0.00006335187,0.0001218356,0.0001247858,0.00009528334,0.000002845587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007933479,"about_ca_system_score_gemma":0.00002748448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002319602,"about_ca_topic_score_gemma":4.466204e-7,"domain_scores_codex":[0.9985377,0.0003591985,0.0005135714,0.0002671024,0.0001396463,0.0001827805],"domain_scores_gemma":[0.9984885,0.001304133,0.00007377108,0.00006792213,0.00001195592,0.00005369365],"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":[0.00002196184,0.000005346793,0.00002223053,0.00004848494,5.421837e-7,0.000001615122,0.0007635807,0.5563088,0.4361691,0.003014331,3.489145e-8,0.003644001],"study_design_scores_gemma":[0.00003361458,0.0000280525,0.0004347731,0.00006261088,0.000001102483,0.000002386179,0.00002956043,0.7902944,0.1705886,0.03843712,5.181153e-7,0.00008720344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2849599,0.00003716234,0.7146625,0.0001137539,0.00008754011,0.00009571053,0.000002422791,0.00002455968,0.00001649982],"genre_scores_gemma":[0.4798049,0.000002987197,0.5201446,0.00001641565,0.00001843404,0.000005550214,6.595488e-7,0.000006195873,1.539515e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2655804,"threshold_uncertainty_score":0.4781936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041435860","doi":"10.1007/s11831-020-09457-7","title":"What is at the Root of Construction 4.0: A Systematic Review of the Recent Research Effort","year":2020,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Data science; Emerging technologies; Computer science; Big data; Order (exchange); The Internet; Domain (mathematical analysis); Position (finance); Meaning (existential); Knowledge management; Business; World Wide Web; Data mining; Epistemology; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.05266108419311241,"gpt":0.3889398032345506,"spread":0.3362787190414381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156365,0.0002233887,0.001327797,0.0002787414,0.00003290327,0.00001235508,0.0004116717,0.00008259476,0.00001929305],"category_scores_gemma":[0.0004538702,0.0001418378,0.0003875744,0.0009333433,0.0001922405,0.00007397932,0.0001262403,0.0005135718,0.000001205227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008522024,"about_ca_system_score_gemma":0.0001183514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002008438,"about_ca_topic_score_gemma":0.000001007154,"domain_scores_codex":[0.9972066,0.0006503059,0.001389233,0.0001751046,0.0004362968,0.0001424105],"domain_scores_gemma":[0.9961092,0.003024369,0.000376176,0.0003380076,0.0001214431,0.00003075133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000001363748,0.000004107809,9.785193e-7,0.619693,0.0001534326,1.708017e-7,0.0001879058,0.0162634,0.000009294851,0.002522395,0.00001352987,0.3611504],"study_design_scores_gemma":[0.00009926801,0.00002131856,0.00001341753,0.9190702,0.0004075056,0.00008338723,0.0000932734,0.03855165,0.0003483657,0.002737175,0.03837486,0.00019953],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003863513,0.9318047,0.06615687,0.00006693333,0.0006186067,0.001107087,0.00002171678,0.00001892508,0.000201249],"genre_scores_gemma":[0.00001774536,0.9375752,0.06218045,0.000006843979,0.00002921743,0.0001379358,0.00001338177,0.00003046157,0.000008722664],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3609509,"threshold_uncertainty_score":0.5783978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124916602","doi":"10.1007/s11831-021-09545-2","title":"Integration of BIM and GIS for Construction Automation, a Systematic Literature Review (SLR) Combining Bibliometric and Qualitative Analysis","year":2021,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"BIM and Construction Integration","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Building information modeling; Automation; Computer science; Systems engineering; Geographic information system; Robot; Construction engineering; Data science; Engineering management; Engineering; Artificial intelligence; Operations management; Remote sensing","retraction":null,"screen_n_in":null,"score":{"opus":0.02074527027169123,"gpt":0.3570799097212898,"spread":0.3363346394495986,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380032,0.0001139127,0.000457509,0.005640474,0.00001945641,0.00002267104,0.00003715817,0.00004141489,0.000001988056],"category_scores_gemma":[0.0007586628,0.0001147794,0.00007116684,0.009006096,0.00004710604,0.000155056,0.00001288581,0.00009151249,2.796351e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188902,"about_ca_system_score_gemma":0.00001575422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000117968,"about_ca_topic_score_gemma":0.000001225298,"domain_scores_codex":[0.9988799,0.000196772,0.0006053554,0.0001353549,0.0001091307,0.00007347235],"domain_scores_gemma":[0.9974486,0.002133936,0.0001383138,0.00007623198,0.0001746415,0.0000282345],"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":[0.00001536596,0.00003453597,0.0003004888,0.170435,0.001121092,0.000001337991,0.0115928,0.4525576,0.04261892,0.1439582,0.000005327972,0.1773593],"study_design_scores_gemma":[0.0002722334,0.00002791996,0.005494426,0.01571053,0.0002465266,0.00003406019,0.0008536051,0.9572991,0.004603999,0.01532417,0.000003704349,0.0001297966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01385481,0.03190194,0.9537891,0.00002792705,0.00009061061,0.0002325552,0.00002406237,0.00003496818,0.0000440107],"genre_scores_gemma":[0.2208469,0.003025054,0.7760086,0.000004969195,0.000006782459,0.00004546762,0.00005241323,0.000008329405,0.000001532398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5047414,"threshold_uncertainty_score":0.5032936,"prediction_status":"machine_predicted_unvalidated"},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2892464652","doi":"10.1007/s11831-018-9292-1","title":"Computer Modeling of Wind Turbines: 1. ALE-VMS and ST-VMS Aerodynamic and FSI Analysis","year":2018,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Advanced Numerical Methods in Computational Mathematics","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Isogeometric analysis; Computer science; Aerodynamics; Computation; Computational science; Aerospace engineering; Algorithm; Engineering; Structural engineering; Finite element method","retraction":null,"screen_n_in":null,"score":{"opus":0.01730020326535518,"gpt":0.3222414925395983,"spread":0.3049412892742431,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003921624,0.0002153658,0.0005494968,0.0006579064,0.0000255244,0.00001163981,0.0001428522,0.00005036331,0.000003038057],"category_scores_gemma":[0.0002078232,0.0002306929,0.00007985107,0.0006256155,0.000164802,0.0001121255,0.0001086642,0.0001708189,1.793993e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001636612,"about_ca_system_score_gemma":0.00001068436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003535734,"about_ca_topic_score_gemma":0.000001054416,"domain_scores_codex":[0.9986349,0.0001015895,0.0006361016,0.000248859,0.0001836949,0.0001948077],"domain_scores_gemma":[0.9960805,0.003540583,0.00009402633,0.0001475631,0.00006489039,0.00007245203],"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":[0.000008657021,0.00001721118,0.000430057,0.0003078432,0.0002081814,7.66149e-7,0.0006385432,0.9614736,0.0009081241,0.003264853,2.816283e-7,0.03274186],"study_design_scores_gemma":[0.0002384693,0.00004935867,0.007273358,0.0001307089,0.00006276339,0.000007059595,0.00002687289,0.9156002,0.0002316271,0.07619193,0.000004213212,0.0001834104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.17242,0.0002945496,0.8269083,0.00001024709,0.0001055671,0.0001030772,0.00001178382,0.0000574179,0.00008908195],"genre_scores_gemma":[0.4392157,0.0000201165,0.5606954,0.000005262724,0.00003491145,0.000002793233,0.000004972786,0.00002022598,7.348257e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2667957,"threshold_uncertainty_score":0.9407381,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3217267591","doi":"10.1007/s11831-021-09685-5","title":"The Critical Role of Lumped Parameter Models in Patient-Specific Cardiovascular Simulations","year":2021,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Model parameter; Computer science; Statistical physics; Applied mathematics; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.02219526874165842,"gpt":0.3080760947426476,"spread":0.2858808260009891,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002714474,0.00008401083,0.0003234699,0.0001863051,0.00002081006,0.000005768543,0.00004490154,0.00003277902,0.000005777971],"category_scores_gemma":[0.0007042628,0.00007189441,0.0003615546,0.000276986,0.00006725672,0.00004186111,0.00003837888,0.0001688059,1.952256e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001711508,"about_ca_system_score_gemma":0.00005053055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008050826,"about_ca_topic_score_gemma":0.000001072874,"domain_scores_codex":[0.9988723,0.0002212368,0.0003789429,0.0001531791,0.0002485233,0.0001257635],"domain_scores_gemma":[0.995892,0.003755979,0.00002005356,0.000217485,0.00007357958,0.00004088928],"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":[0.00002484983,0.00004797494,0.0007625216,0.00004277296,0.000155806,0.000008617794,0.0005300099,0.8987641,0.002796455,0.003221218,4.233011e-7,0.0936452],"study_design_scores_gemma":[0.0005188941,0.00002234019,0.03027107,0.0001106651,0.00003721382,0.00002547614,0.0002309376,0.9473467,0.004939079,0.01562382,0.0008007961,0.00007297242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1957537,0.004305433,0.7994161,0.00004177385,0.0001421778,0.0001144161,0.000005727708,0.00001034662,0.0002104024],"genre_scores_gemma":[0.6478212,0.00009969735,0.3520368,0.000004614605,0.000013626,0.000005393667,0.000008234074,0.000008701454,0.000001730095],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4520675,"threshold_uncertainty_score":0.2931769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3129675108","doi":"10.1007/s11831-020-09518-x","title":"Review of Various Image Fusion Algorithms and Image Fusion Performance Metric","year":2021,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Image fusion; Artificial intelligence; Computer vision; Computer science; Fusion; Process (computing); Metric (unit); Transformation (genetics); Focus (optics); Sensor fusion; Domain (mathematical analysis); Photography; Image (mathematics); Composite image filter; Image processing; Image registration; Mathematics; Optics; Engineering; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.01040122629544277,"gpt":0.3150730534073259,"spread":0.3046718271118832,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000375513,0.0001678854,0.0003911123,0.0004065976,0.00001901022,0.000006835116,0.0001258793,0.00003388851,0.0000200419],"category_scores_gemma":[0.0004663455,0.0001847514,0.0000658418,0.0006226656,0.00005417387,0.000186292,0.0001534929,0.0002089554,4.561696e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001954279,"about_ca_system_score_gemma":0.00002279865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002489776,"about_ca_topic_score_gemma":1.228767e-7,"domain_scores_codex":[0.9988756,0.0000822607,0.0005235674,0.000188673,0.0001662493,0.0001636556],"domain_scores_gemma":[0.9985979,0.001016911,0.00008041666,0.0001713693,0.00008504641,0.00004833664],"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":[0.000005169615,0.00003316777,0.00005610039,0.009964919,0.0000218003,0.00001061363,0.0001517827,0.1871208,0.3222776,0.0001360184,0.00001840657,0.4802037],"study_design_scores_gemma":[0.0002239343,0.00003257113,0.004826944,0.004185206,0.00001366567,0.00003666064,0.00001261531,0.8152033,0.1728894,0.002198538,0.0001899176,0.0001872483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007487127,0.02234255,0.9691823,0.00001872892,0.00009055031,0.0001525543,0.00001109135,0.0001042426,0.0006108322],"genre_scores_gemma":[0.01286067,0.02755096,0.9594786,0.00001999603,0.00001669658,0.00001478324,0.00002092844,0.00003204984,0.000005279917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6280826,"threshold_uncertainty_score":0.7533944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317213365","doi":"10.1007/s11831-022-09836-2","title":"A Review of Image-Based Simulation Applications in High-Value Manufacturing","year":2023,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Manufacturing Process and Optimization","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":"Object Research Systems (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Image (mathematics); Value (mathematics); Computer science; Computer vision; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.03376037823966097,"gpt":0.3736598171933139,"spread":0.3398994389536529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004367437,0.0003095523,0.001183864,0.001069033,0.00001159045,0.000008087837,0.0002546707,0.00009618374,0.000005304902],"category_scores_gemma":[0.0001630832,0.0003249141,0.0002050221,0.0005634524,0.00002634283,0.00007140429,0.00004669994,0.0003045854,0.000001213484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005664907,"about_ca_system_score_gemma":0.00006077493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007432351,"about_ca_topic_score_gemma":5.374243e-7,"domain_scores_codex":[0.998114,0.0001256615,0.001169989,0.0002419445,0.0001601289,0.0001882435],"domain_scores_gemma":[0.9960358,0.003452216,0.000243195,0.000209679,0.00002254158,0.00003661671],"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":[5.429915e-7,0.000008987431,4.215251e-7,0.1856981,0.00002147337,4.165572e-7,0.00001594251,0.6115839,5.658659e-7,0.0001330708,3.333865e-7,0.2025362],"study_design_scores_gemma":[0.0001273151,0.000006301725,0.00006174612,0.09523789,0.00006864653,5.458902e-7,0.000001357704,0.8970246,0.00009514103,0.001398695,0.005738627,0.0002391132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.000002110132,0.4590023,0.5404015,0.000001251361,0.0000440716,0.0004254402,0.00001963156,0.00006768732,0.00003596009],"genre_scores_gemma":[0.00006416862,0.5528424,0.4467157,0.000002076317,0.00001662788,0.0001409262,0.0001603053,0.00005655061,0.000001210821],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2854407,"threshold_uncertainty_score":0.9999203,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3132076855","doi":"10.1007/s11831-021-09535-4","title":"A Critical Review of Forcing Schemes in Lattice Boltzmann Method: 1993–2019","year":2021,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Lattice Boltzmann methods; Forcing (mathematics); Statistical physics; Mathematics; Lattice (music); Applied mathematics; Mathematical optimization; Computer science; Physics; Mathematical analysis; Mechanics","retraction":null,"screen_n_in":null,"score":{"opus":0.06461807893931114,"gpt":0.4364116162814024,"spread":0.3717935373420913,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001417945,0.000478143,0.002913698,0.0009474026,0.00001568371,0.00001186851,0.0003283723,0.0001388748,0.00001355804],"category_scores_gemma":[0.003040087,0.000506895,0.0004903302,0.001003501,0.00006774996,0.0001520647,0.000205912,0.0006388928,0.000001560688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007298356,"about_ca_system_score_gemma":0.000118258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005311826,"about_ca_topic_score_gemma":6.596199e-7,"domain_scores_codex":[0.9964021,0.0005805487,0.001955808,0.0003828648,0.0003273889,0.0003513015],"domain_scores_gemma":[0.9801572,0.0191458,0.0002137861,0.0003190761,0.00009811574,0.0000660392],"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":[9.507968e-7,0.00002231903,0.000004146315,0.1778508,0.0001571658,0.000008158594,0.0001348695,0.3932195,0.000005105506,0.005647434,0.000007525553,0.422942],"study_design_scores_gemma":[0.0003500785,0.00002203504,0.0001088127,0.3895153,0.0004780198,0.00003966891,0.00002997041,0.4847101,0.00003816164,0.003066999,0.120832,0.000808914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[9.264433e-7,0.5437057,0.455577,0.000007744185,0.0001476065,0.0002437466,0.00002050583,0.00003909914,0.000257626],"genre_scores_gemma":[0.000006163726,0.5003216,0.4995068,0.000007216107,0.00002885019,0.00004099572,0.00003216183,0.00005240657,0.00000378437],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4221331,"threshold_uncertainty_score":0.9997383,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307912834","doi":"10.1007/s11831-022-09840-6","title":"Insight of Discrete Scale and Multiscale Methods for Characterization of Composite and Nanocomposite Materials","year":2022,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Composite Material Mechanics","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Composite number; Scale (ratio); Computer science; Characterization (materials science); Multiscale modeling; Nanocomposite; Dissipative particle dynamics; Scope (computer science); Discrete element method; Macroscopic scale; Matrix (chemical analysis); Dissipative system; Materials science; Biological system; Nanotechnology; Algorithm; Composite material; Mechanics; Physics; Polymer","retraction":null,"screen_n_in":null,"score":{"opus":0.00961704693788217,"gpt":0.2936923760618274,"spread":0.2840753291239452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004281858,0.0001385729,0.0004212931,0.0003211289,0.0000302046,0.000008734455,0.0001103728,0.00002521399,0.000004201391],"category_scores_gemma":[0.00002670177,0.0001646354,0.00003874821,0.0001480396,0.00004169116,0.00007435503,0.0001768199,0.00006969415,1.29698e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001258805,"about_ca_system_score_gemma":0.000006749083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006125167,"about_ca_topic_score_gemma":2.069416e-7,"domain_scores_codex":[0.9989125,0.0001985234,0.0005284935,0.0001513569,0.00008686452,0.0001223058],"domain_scores_gemma":[0.9987222,0.001005338,0.0001217733,0.00009545697,0.00002161781,0.00003362708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005405629,0.00001456428,0.00009208215,0.000596626,0.00002811712,1.500932e-7,0.0008569164,0.247167,0.7358738,0.001012934,4.436902e-8,0.01430382],"study_design_scores_gemma":[0.0003381562,0.00005380602,0.00842816,0.00006807145,0.00001256026,0.000005746103,0.000009695135,0.4850554,0.5042888,0.001614507,0.00003548144,0.00008961606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4607823,0.0001259138,0.5386215,0.000005221838,0.000143895,0.000196863,0.00009801243,0.00001798479,0.000008341161],"genre_scores_gemma":[0.4463811,0.00001569568,0.5535001,0.000001518092,0.000008073783,0.00003358948,0.00003947235,0.000019492,9.175068e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2378884,"threshold_uncertainty_score":0.6713636,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1991697864","doi":"10.1007/bf02736650","title":"State-of-the-Art on numerical simulation of fiber-reinforced thermoplastic forming processes","year":2002,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Composite Material Mechanics","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Materials science; Composite material; Fiber; Composite number; Ultimate tensile strength; Fiber-reinforced composite; Thermal; Work (physics); Modulus; Suspension (topology); Thermoplastic; Mechanical engineering; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01566455251479234,"gpt":0.2735806196557027,"spread":0.2579160671409104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009434699,0.0001171785,0.0002196664,0.0001863527,0.00001098906,0.000004236691,0.0001457098,0.00002098662,0.00001510382],"category_scores_gemma":[0.0002805249,0.0001100742,0.00005201553,0.0002796583,0.00001911426,0.00006013636,0.00003968608,0.00009325195,0.000001175474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001543377,"about_ca_system_score_gemma":0.000008395169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.847427e-7,"about_ca_topic_score_gemma":1.207059e-7,"domain_scores_codex":[0.9991862,0.00003760693,0.0004116455,0.00008539041,0.0001584686,0.0001207418],"domain_scores_gemma":[0.9974108,0.002345834,0.00008525111,0.0001067462,0.00002931797,0.00002204038],"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":[0.00001388797,0.00001209231,0.00001007852,0.0004882984,0.00001821145,2.327817e-7,0.0004857131,0.9441955,0.03267362,0.0003687544,5.477688e-7,0.02173305],"study_design_scores_gemma":[0.0001696023,0.00004339866,0.0006030469,0.0002689949,0.000005541393,0.000001214164,0.000002806751,0.9045513,0.09263152,0.001605535,0.00003290061,0.00008417479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1358637,0.00004577467,0.8634314,0.000004202946,0.0001542581,0.0001248886,0.000006582849,0.00003770727,0.0003315159],"genre_scores_gemma":[0.7381049,0.000002825419,0.2618459,0.000001466525,0.000009380525,0.000005225827,0.000001763686,0.00001825045,0.00001021709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6022413,"threshold_uncertainty_score":0.4488695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3156396824","doi":"10.1007/s11831-021-09554-1","title":"Computational Models and Simulations of Cancer Metastasis","year":2021,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Northernchem (Canada); Regional Municipality of Niagara; University of Waterloo","funders":"Fields Institute for Research in Mathematical Sciences","keywords":"Intravasation; Metastasis; Cancer; Computer science; Process (computing); Computational model; Extravasation; Primary tumor; Biology; Medicine; Artificial intelligence; Internal medicine; Immunology","retraction":null,"screen_n_in":null,"score":{"opus":0.07082863010898209,"gpt":0.4119840671922474,"spread":0.3411554370832653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002436077,0.00009705882,0.000321255,0.0001734888,0.00001490736,0.000003697632,0.00007149422,0.00002609047,0.00002350057],"category_scores_gemma":[0.0007493981,0.00009937,0.00005497061,0.0001940224,0.00007672987,0.00005282564,0.00007510416,0.00009383974,7.010793e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007670642,"about_ca_system_score_gemma":0.00005083011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003374082,"about_ca_topic_score_gemma":0.000001962357,"domain_scores_codex":[0.9990317,0.0001455092,0.0004472822,0.0001457682,0.0001266873,0.0001030186],"domain_scores_gemma":[0.9901943,0.009510645,0.0001058255,0.00008534954,0.00006926533,0.00003465938],"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":[0.000003661984,0.00004401705,0.0002883305,0.0002604103,0.00005304812,0.000001035166,0.0003482961,0.672852,0.0009696162,0.3223642,6.64422e-7,0.002814749],"study_design_scores_gemma":[0.0001418581,0.000005143134,0.001246426,0.0000704798,0.00001376581,0.000003298572,0.00001429617,0.5086376,0.001706907,0.4881157,0.000001460373,0.00004304029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1214223,0.0002970099,0.8778013,0.00006694686,0.00002507471,0.00007270021,0.00004155685,0.00001388326,0.0002592487],"genre_scores_gemma":[0.4350923,0.000005292444,0.5648702,0.000005225433,0.000004885168,0.000004945468,0.000006345449,0.000007083122,0.000003746354],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.31367,"threshold_uncertainty_score":0.4052191,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200617393","doi":"10.1007/s11831-021-09670-y","title":"Deep Learning Inspired Object Consolidation Approaches Using LiDAR Data for Autonomous Driving: A Review","year":2021,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"National Research Foundation of Korea; Ministry of Education","keywords":"Computer science; Lidar; Artificial intelligence; Deep learning; Scalability; Segmentation; Object detection; Sensor fusion; Open research; Consolidation (business); Feature extraction; Machine learning; Computer vision; Real-time computing; Remote sensing; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.1786644516828889,"gpt":0.4234500129943904,"spread":0.2447855613115015,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008982895,0.0003677729,0.001459178,0.0004057789,0.00008323362,0.00005174473,0.001543005,0.00008570914,9.424036e-7],"category_scores_gemma":[0.00131157,0.0003993181,0.0002619681,0.0009512003,0.00004941459,0.0003262946,0.0009508734,0.0004524759,4.350278e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006578127,"about_ca_system_score_gemma":0.0003153432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.659116e-7,"about_ca_topic_score_gemma":3.815424e-7,"domain_scores_codex":[0.9969938,0.0005800553,0.001096653,0.0008381162,0.0001907669,0.0003006375],"domain_scores_gemma":[0.9908409,0.00749063,0.0006592758,0.0008864859,0.00005170469,0.00007098886],"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":[2.21977e-7,0.00001435378,4.721766e-7,0.007311188,0.00004073463,9.605235e-7,0.00003216352,0.3884863,0.000002258389,0.004513813,6.084711e-7,0.5995969],"study_design_scores_gemma":[0.00008704434,0.00001369444,0.000004612206,0.01941879,0.000114336,0.00004388831,0.000002243415,0.8969349,0.000003805259,0.001689123,0.08138308,0.0003045326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.34791e-7,0.4869197,0.5123588,0.00001324609,0.00006505432,0.0005657819,0.000006930313,0.00005313658,0.00001711665],"genre_scores_gemma":[0.000003222303,0.4445418,0.5549203,0.000007498561,0.00004673976,0.0001317112,0.000315622,0.00003075882,0.00000241156],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5992924,"threshold_uncertainty_score":0.9998459,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2770223481","doi":"10.1007/s11831-017-9243-2","title":"Challenges in Computational Modeling of Two-Phase Transport in Polymer Electrolyte Fuel Cells Flow Channels: A Review","year":2017,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Alberta Energy","funders":"Ministerio de Economía y Competitividad; Natural Sciences and Engineering Research Council of Canada; Ministerio de Educación, Cultura y Deporte","keywords":"Computational fluid dynamics; Airflow; Pressure drop; Fuel cells; Flow (mathematics); Environmental science; Mechanics; Computer science; Electrolyte; Process engineering; Materials science; Mechanical engineering; Chemistry; Engineering; Chemical engineering; Electrode; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.09841275142671153,"gpt":0.3917596055621377,"spread":0.2933468541354262,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001021473,0.0005014967,0.002457602,0.001137689,0.00001245025,0.000008868806,0.0004248999,0.0001833233,0.000008121523],"category_scores_gemma":[0.00005220127,0.0005146003,0.0003534315,0.0002820602,0.00004251145,0.0001060989,0.000045646,0.0005921632,0.000001068256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005154441,"about_ca_system_score_gemma":0.0001167992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001194909,"about_ca_topic_score_gemma":0.00000376319,"domain_scores_codex":[0.9969264,0.0002487653,0.001830055,0.0003856211,0.0002354953,0.0003736593],"domain_scores_gemma":[0.9982551,0.001103582,0.0002863103,0.0002622723,0.00002639375,0.00006637516],"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":[0.000005397746,0.00005060013,9.893012e-8,0.09825273,0.00007285253,0.00001362442,0.0001673329,0.6501703,0.00002348985,0.000154343,1.831754e-7,0.251089],"study_design_scores_gemma":[0.0007819199,0.00002957067,0.000001724845,0.06790593,0.00009137311,0.00001652805,0.000003146521,0.9261982,0.00003690093,0.002842683,0.001699885,0.000392151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001033879,0.8519484,0.1465132,0.000008380002,0.0003290487,0.0005112019,0.00004328712,0.00003587958,0.0006003333],"genre_scores_gemma":[0.0009361369,0.7646998,0.2340679,0.000002023223,0.00004635856,0.00007271604,0.00009449237,0.00007844782,0.000002096512],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2760279,"threshold_uncertainty_score":0.9997306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400033628","doi":"10.1007/s11831-024-10153-z","title":"The State-of-the-Art on Time-Frequency Signal Processing Techniques for High-Resolution Representation of Nonlinear Systems in Engineering","year":2024,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Ministry of Science and Technology of the People's Republic of China; Department of Science and Technology of Shandong Province","keywords":"Nonlinear system; Representation (politics); State (computer science); Computer science; SIGNAL (programming language); Signal processing; High resolution; Electronic engineering; Acoustics; Algorithm; Engineering; Digital signal processing; Physics; Computer hardware; Remote sensing; Geology","retraction":null,"screen_n_in":null,"score":{"opus":0.0129338322586976,"gpt":0.3333696095232548,"spread":0.3204357772645572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668832,0.0001686786,0.0002908836,0.0004940737,0.00002011492,0.00002235736,0.0002425632,0.00004498379,5.954656e-7],"category_scores_gemma":[0.0002662988,0.0001416801,0.00009127322,0.0005222255,0.00004417502,0.0001175064,0.00003987539,0.0002336974,1.768661e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006152803,"about_ca_system_score_gemma":0.0000360672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002690199,"about_ca_topic_score_gemma":0.000001977322,"domain_scores_codex":[0.9986337,0.00008909274,0.0007060299,0.000174217,0.0002111178,0.0001858253],"domain_scores_gemma":[0.996251,0.003440917,0.00009146803,0.0001516793,0.00004436379,0.00002050138],"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":[0.00001060806,0.00001867618,0.00006213667,0.001208354,0.00002413072,5.959792e-7,0.0002138027,0.8828171,0.0498191,0.002653168,0.000009611545,0.06316264],"study_design_scores_gemma":[0.0000956778,0.00004672056,0.001192875,0.001683201,0.000007704902,0.00000195468,0.000005229457,0.8753204,0.1146473,0.006825558,0.00006694478,0.0001064876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02035103,0.001072057,0.9774298,0.00003181012,0.0001558666,0.0006275297,0.00003157904,0.0002081785,0.00009214452],"genre_scores_gemma":[0.4453137,0.0000325082,0.5544221,9.889152e-7,0.00002929773,0.0001510233,0.00001136192,0.00003485933,0.000004163385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4249627,"threshold_uncertainty_score":0.5777548,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388447234","doi":"10.1007/s11831-023-10020-3","title":"Finite-Element Modelling of Needle-Tissue Interactions","year":2023,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Finite element method; Biological tissue; Computer science; Eulerian path; Mechanism (biology); Lagrangian; Biomedical engineering; Engineering; Structural engineering; Applied mathematics; Mathematics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.0462202132554046,"gpt":0.3463278454558231,"spread":0.3001076322004185,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001857284,0.0001038141,0.0001859541,0.0006603301,0.00001378658,0.000005092875,0.0001449701,0.00002133547,0.00001291687],"category_scores_gemma":[0.00006955171,0.0001253147,0.00006106283,0.000827326,0.00003544799,0.00006849292,0.00003860003,0.0001508676,0.000003459063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001073119,"about_ca_system_score_gemma":0.000009986281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005830036,"about_ca_topic_score_gemma":6.760838e-7,"domain_scores_codex":[0.9991747,0.00002963778,0.0004096153,0.0001112656,0.0001145273,0.0001603048],"domain_scores_gemma":[0.9971605,0.002613899,0.00003670999,0.0001245202,0.00002332863,0.00004103007],"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":[0.00000210888,0.00001601461,0.00006912867,0.0001350131,0.0000275868,4.238747e-7,0.0004390211,0.9668391,0.006009263,0.009027117,0.000002961106,0.0174322],"study_design_scores_gemma":[0.0001029735,0.00001329917,0.001596437,0.00008605859,0.000006266398,6.183643e-7,0.000056685,0.9693397,0.006425842,0.02212961,0.0001471191,0.0000953698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01270122,0.00006847298,0.9854563,0.0000233036,0.0001035383,0.0001333815,0.00001608645,0.0001640467,0.001333686],"genre_scores_gemma":[0.4817702,0.00001626772,0.5181423,9.184782e-7,0.00001012701,0.00003178268,0.00001158065,0.00001267573,0.000004054682],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.469069,"threshold_uncertainty_score":0.5110184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409159719","doi":"10.1007/s11831-025-10279-8","title":"A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities","year":2025,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":17,"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; Hong Kong University of Science and Technology","keywords":"Computer science; Algorithm; Data science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.09943261025455889,"gpt":0.4637243418465283,"spread":0.3642917315919694,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001407369,0.0003473273,0.001371692,0.0006067149,0.00001940414,0.00000889685,0.0004263916,0.0001075357,0.000002789753],"category_scores_gemma":[0.0001388946,0.0003308267,0.0001145497,0.0002736188,0.00004775929,0.0001962851,0.0001958547,0.0003079145,2.471573e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000580368,"about_ca_system_score_gemma":0.0001353208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.257914e-7,"about_ca_topic_score_gemma":8.411244e-7,"domain_scores_codex":[0.9978198,0.000394537,0.001053432,0.0003748686,0.0001551575,0.0002022516],"domain_scores_gemma":[0.9963754,0.002867156,0.0002414502,0.000373553,0.000101284,0.00004111653],"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":[0.000001987675,0.000004274709,9.369506e-8,0.1407524,0.00004870302,3.407361e-7,0.00006493308,0.08134046,4.586616e-7,0.001380135,0.000003508609,0.7764027],"study_design_scores_gemma":[0.0001589816,0.00001550449,0.00001839503,0.04562798,0.0001166873,0.000006399837,0.0000205702,0.4070415,0.000001150113,0.002700784,0.544099,0.0001931275],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.229557e-8,0.5406023,0.458132,0.0000132921,0.0003014073,0.0007982684,0.00006731277,0.00001789355,0.00006747516],"genre_scores_gemma":[7.43434e-8,0.5056665,0.4936628,0.000003726467,0.000144879,0.0001937399,0.0003087613,0.00001919142,3.587e-7],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7762096,"threshold_uncertainty_score":0.9999143,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404577672","doi":"10.1007/s11831-024-10197-1","title":"Residual-Based Stabilized Reduced-Order Models of the Transient Convection–Diffusion–Reaction Equation Obtained Through Discrete and Continuous Projection","year":2024,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Sandia National Laboratories; U.S. Department of Energy","keywords":"Residual; Projection (relational algebra); Transient (computer programming); Diffusion; Reaction–diffusion system; Convection–diffusion equation; Order (exchange); Convection; Mathematics; Applied mathematics; Method of mean weighted residuals; Diffusion equation; Projection method; Mechanics; Mathematical analysis; Mathematical optimization; Computer science; Physics; Thermodynamics; Finite element method; Algorithm; Dykstra's projection algorithm; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02649525354722044,"gpt":0.3176116078780644,"spread":0.2911163543308439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002126634,0.0001063527,0.0001647291,0.0001260511,0.00004020726,0.00001405361,0.0000479917,0.00002387137,0.000004897268],"category_scores_gemma":[0.00002145823,0.00008672758,0.00007304617,0.000283503,0.00005838722,0.0001399688,0.000017438,0.0001611755,3.683386e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001245765,"about_ca_system_score_gemma":0.00005016046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006087767,"about_ca_topic_score_gemma":6.445064e-7,"domain_scores_codex":[0.9990968,0.0001695768,0.000323109,0.0001824289,0.0001321038,0.00009596391],"domain_scores_gemma":[0.9990942,0.0006896997,0.00007873759,0.00007997957,0.00003859441,0.0000187837],"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":[0.00004160975,0.00002976167,0.00004211836,0.00009077926,0.00002707059,6.874338e-8,0.00103135,0.9080999,0.03434339,0.02980118,0.000001666618,0.02649105],"study_design_scores_gemma":[0.0003365944,0.00002665631,0.001220481,0.0001853595,0.0000187545,0.000001106835,0.0001155447,0.9365003,0.009246998,0.05223701,0.00003496312,0.00007619901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1640552,0.00008950577,0.8347836,0.0002031729,0.0002586987,0.0002499892,0.000007642987,0.00002481989,0.0003273227],"genre_scores_gemma":[0.784121,0.000005767636,0.2157506,0.000003951326,0.00004816406,0.00002714848,0.00001406759,0.00001110797,0.00001824128],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6200657,"threshold_uncertainty_score":0.3536648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409316243","doi":"10.1007/s11831-025-10284-x","title":"Machine Learning as an Innovative Engineering Tool for Controlling Concrete Performance: A Comprehensive Review","year":2025,"lang":"en","type":"review","venue":"Archives of Computational Methods in Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Construction engineering; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.02053201974725801,"gpt":0.3552757744452811,"spread":0.3347437546980231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005541072,0.0006651356,0.002283265,0.0009282511,0.00005236599,0.00002592158,0.0003865003,0.0001669342,0.0000038771],"category_scores_gemma":[0.0007756363,0.0006806054,0.0003463362,0.0008215132,0.00003637994,0.0001708053,0.0000923398,0.0009690258,6.056114e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027159,"about_ca_system_score_gemma":0.0001580236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002500298,"about_ca_topic_score_gemma":5.364745e-8,"domain_scores_codex":[0.9974498,0.0001511374,0.001321479,0.0004019804,0.000191863,0.0004837208],"domain_scores_gemma":[0.9944901,0.00480163,0.000248107,0.0002341785,0.0001604211,0.00006550676],"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":[0.000006070514,0.000001649495,0.000001579398,0.0885831,0.0001484422,0.000001828219,0.0000869753,0.5017927,0.00002838143,0.0004480854,0.000001201808,0.4089],"study_design_scores_gemma":[0.0004655322,0.00008105107,0.000009096296,0.1262799,0.0001904807,0.0000174463,0.000006609056,0.7238037,0.00006046358,0.0002559152,0.1482331,0.0005966435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002045644,0.583147,0.4153726,0.000001601604,0.0004100491,0.0008106423,0.00003408557,0.0001341372,0.00006945526],"genre_scores_gemma":[0.00004808384,0.5951104,0.4041913,0.00001328917,0.0001120033,0.0002668191,0.0001735139,0.00007813021,0.000006450737],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4083034,"threshold_uncertainty_score":0.9995645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381889747","doi":"10.1007/s11831-023-09950-9","title":"An Analytical Review on the Utilization of Machine Learning in the Biomass Raw Materials, Their Evaluation, Storage, and Transportation","year":2023,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"","keywords":"Biomass (ecology); Raw material; Production (economics); Work (physics); Computer science; Process engineering; Machine learning; Engineering; Mechanical engineering; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.05752529173521408,"gpt":0.358561595561723,"spread":0.3010363038265089,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572757,0.00009359208,0.0001533077,0.0002902489,0.00001875602,0.000008901695,0.0001149775,0.00001841002,0.000009683147],"category_scores_gemma":[0.0001603694,0.00006584969,0.00002385412,0.0005932064,0.00003236304,0.0000542712,0.000007357722,0.00007432928,2.810179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008919626,"about_ca_system_score_gemma":0.000007752652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005679201,"about_ca_topic_score_gemma":0.000009084459,"domain_scores_codex":[0.9989599,0.0003274751,0.0003411398,0.0001007984,0.0001838798,0.00008678004],"domain_scores_gemma":[0.998958,0.000858179,0.00004869965,0.0001005746,0.00002150754,0.00001306566],"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":[0.000005321873,0.00001492228,0.0003394181,0.0005308759,0.00001455677,4.95238e-7,0.0007947176,0.969461,0.00254144,0.01265995,0.000007080473,0.01363024],"study_design_scores_gemma":[0.0001421374,0.00002232418,0.1258501,0.0003073515,0.00001144233,3.728167e-7,0.00008911001,0.8701572,0.001234388,0.002056407,0.00007552956,0.00005364079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3440626,0.001381505,0.6532722,0.0002746171,0.000101719,0.0006292218,0.00002007564,0.00008875052,0.0001692835],"genre_scores_gemma":[0.9876338,0.0007071766,0.01139045,0.00002418787,0.000007320781,0.00003419832,0.0001883258,0.00001324391,0.000001275512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6435712,"threshold_uncertainty_score":0.2685273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385469832","doi":"10.1007/s11831-023-09981-2","title":"State of the Practice for Lattice Boltzmann Method Software","year":2023,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Documentation; Software engineering; Usability; Agile software development; Maintainability; Software; Correctness; Software documentation; Software development; Software quality; Software development process; Human–computer interaction; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.02039388296657701,"gpt":0.3483428601665688,"spread":0.3279489771999918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001480362,0.00009904059,0.0001969833,0.0002387357,0.00004561526,0.00001934871,0.0004653741,0.00001875904,2.0225e-7],"category_scores_gemma":[0.002526459,0.0000876248,0.0001030534,0.0006622108,0.00003551958,0.000149547,0.0002183241,0.0001285118,3.841394e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009128273,"about_ca_system_score_gemma":0.00005979327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007644458,"about_ca_topic_score_gemma":4.227069e-7,"domain_scores_codex":[0.9987808,0.0002827454,0.000353137,0.00020589,0.0001875521,0.0001898349],"domain_scores_gemma":[0.9840014,0.01546582,0.0001642443,0.000263916,0.00007499466,0.00002962958],"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":[0.000006456343,0.00001492608,0.00003990993,0.000116598,0.00002043159,8.299078e-7,0.00139308,0.8237168,0.002464104,0.01070224,0.000006627257,0.161518],"study_design_scores_gemma":[0.0001921327,0.00002548385,0.004974384,0.0001227293,0.000007082511,0.000008370514,0.00003447738,0.9217574,0.008117337,0.06420482,0.0004719019,0.0000839067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004027814,0.00006963398,0.9950148,0.0002777716,0.000255156,0.0001766557,0.000005645591,0.00008611379,0.00008642304],"genre_scores_gemma":[0.02824319,0.000004304631,0.9716418,0.0000347799,0.00001734256,0.00001623177,0.000001705488,0.00001326172,0.00002740236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1614341,"threshold_uncertainty_score":0.3573236,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4416392252","doi":"10.1007/s11831-025-10459-6","title":"Digital Image Correlation (DIC) for Structural Health Monitoring of Bridge Systems: A State-of-the-Art Review with Future Research Directions","year":2025,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Okanagan University College; Government of Manitoba","funders":"","keywords":"Digital image correlation; Bridge (graph theory); Structural health monitoring; Displacement (psychology); Key (lock); Modal; Face (sociological concept)","retraction":null,"screen_n_in":null,"score":{"opus":0.03271891344481769,"gpt":0.4145029852830437,"spread":0.381784071838226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005842375,0.0001300324,0.0003678225,0.0003923404,0.00005367182,0.00001058282,0.0001937435,0.0000276551,1.947882e-7],"category_scores_gemma":[0.000240062,0.0001117395,0.00006839543,0.0006818057,0.00007014596,0.0001247029,0.00005137454,0.0002794451,3.659521e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009914093,"about_ca_system_score_gemma":0.00009832635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000176576,"about_ca_topic_score_gemma":8.057488e-7,"domain_scores_codex":[0.9986591,0.0001263319,0.0006148419,0.0001408782,0.0002272649,0.0002315791],"domain_scores_gemma":[0.9976213,0.001896087,0.0001236938,0.0001794631,0.0001430819,0.00003639684],"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":[0.00002549512,0.000007137285,0.003317422,0.01306157,0.00005163259,1.763335e-7,0.000315201,0.7647877,0.0003849972,0.00114019,0.00003665508,0.2168718],"study_design_scores_gemma":[0.0004271438,0.0001348123,0.3613327,0.01707257,0.0000188355,0.00001041086,0.00007585213,0.6089986,0.00406649,0.006834303,0.0008239481,0.0002042822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03075135,0.01286036,0.9539725,0.00008521861,0.0009643118,0.001069776,0.00006216908,0.0001080779,0.0001262005],"genre_scores_gemma":[0.3837477,0.0007553436,0.6153163,0.000001504046,0.00005530118,0.00008083374,0.000009356112,0.00002212732,0.00001152309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3580153,"threshold_uncertainty_score":0.4556606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3126847492","doi":"10.1007/s11831-021-09529-2","title":"Performance of Recent Optimization Algorithms and Its Comparison to State-of-the-Art Differential Evolution and Its Variants for the Economic Optimization of Cooling Tower","year":2021,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadore College","funders":"","keywords":"Differential evolution; Convergence (economics); Algorithm; Mathematical optimization; Constraint (computer-aided design); Computer science; Tower; Cooling tower; Differential (mechanical device); State (computer science); Variation (astronomy); Rate of convergence; Mathematics; Key (lock); Engineering; Water cooling","retraction":null,"screen_n_in":null,"score":{"opus":0.01660637425917222,"gpt":0.2765746521665903,"spread":0.2599682779074181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001521806,0.00008297845,0.0001872125,0.0001099261,0.0000253488,0.00000499134,0.00007130385,0.00002541101,0.000003996494],"category_scores_gemma":[0.0000787175,0.0000769621,0.00002645406,0.0001433885,0.00001575186,0.00007907867,0.00004719854,0.000054943,7.76469e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002015987,"about_ca_system_score_gemma":0.0000276244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001261604,"about_ca_topic_score_gemma":7.312075e-7,"domain_scores_codex":[0.9993519,0.00003578623,0.0003636801,0.00009839387,0.0000699724,0.00008022624],"domain_scores_gemma":[0.9992536,0.0005037399,0.00009604965,0.00006431607,0.00006358224,0.00001871298],"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":[0.00003126199,0.00001160905,0.0001212235,0.0001770859,0.00003726214,1.743151e-8,0.0002381666,0.988843,0.002955106,0.0006049614,5.581321e-7,0.006979741],"study_design_scores_gemma":[0.0002643084,0.00002681415,0.003543858,0.0001282194,0.00001753781,0.000001332427,0.0000103237,0.9726667,0.02314856,0.0001223773,0.000003883548,0.00006605266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1364023,0.0003450678,0.8628653,0.00001293185,0.0001930888,0.0001472126,0.00001353567,0.000008758254,0.00001184289],"genre_scores_gemma":[0.5390765,0.0001801772,0.4607066,9.226894e-7,0.000007449233,0.000008158954,0.000009909645,0.000008223511,0.000002032712],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4026743,"threshold_uncertainty_score":0.3138423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4281939271","doi":"10.1007/s11831-022-09777-w","title":"Boundary and Interface Treatments for One-Unit Pore-Scale Simulations of Heat and Mass Transfer in Porous Materials: A Mini-Review","year":2022,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Heat and Mass Transfer in Porous Media","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Heat transfer; Mechanics; Porous medium; Boundary value problem; Fluid dynamics; Porosity; Mass transfer; Periodic boundary conditions; Thermal; Flow (mathematics); Scale (ratio); Thermal fluids; Boundary (topology); Materials science; Thermodynamics; Heat transfer coefficient; Mathematics; Physics; Mathematical analysis; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.02677802884554917,"gpt":0.3252355981943236,"spread":0.2984575693487744,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000269632,0.0001207895,0.0003474281,0.0002265297,0.00002055027,0.000004829682,0.00006669563,0.00001984131,0.00001011639],"category_scores_gemma":[0.00002622569,0.0001421078,0.00002967681,0.000123456,0.0000367496,0.0000553112,0.00001994708,0.00009262104,1.671864e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001701288,"about_ca_system_score_gemma":0.00001850317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000862629,"about_ca_topic_score_gemma":0.000003853432,"domain_scores_codex":[0.9991457,0.00008490902,0.0004156603,0.0001267291,0.00009072819,0.0001362861],"domain_scores_gemma":[0.9988517,0.001028113,0.00001027699,0.00006456207,0.000008835995,0.00003649492],"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":[0.00003039527,0.00004766824,0.000342605,0.001958833,0.00006135191,0.000001292906,0.001986532,0.9278565,0.05431629,0.0002492331,7.257303e-7,0.01314858],"study_design_scores_gemma":[0.00213741,0.0002244039,0.01264772,0.001244794,0.0001005682,0.00001936886,0.0001742767,0.9491805,0.02505606,0.008491138,0.0003915518,0.0003321542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.392298,0.004373588,0.6026387,0.00003611126,0.00009083462,0.0003685742,0.0001354102,0.00001988526,0.00003887501],"genre_scores_gemma":[0.6653274,0.0004359868,0.3340841,0.000006976923,0.000006287718,0.00007417516,0.00004312884,0.00001923266,0.000002765884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2730294,"threshold_uncertainty_score":0.5794989,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412191134","doi":"10.1007/s11831-025-10310-y","title":"Computational Modeling of Indoor Organic Photovoltaics: Dataset Curation, Predictive Analysis, and Machine Learning Approaches","year":2025,"lang":"en","type":"article","venue":"Archives of Computational Methods in Engineering","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"National Yang Ming Chiao Tung University; National Science and Technology Council; Ministry of Education, India; Shanghai Educational Development Foundation","keywords":"Computer science; Photovoltaics; Machine learning; Artificial intelligence; Organic solar cell; Predictive modelling; Photovoltaic system; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02452032047835891,"gpt":0.3113933696814965,"spread":0.2868730492031376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270501,0.000149825,0.0003936352,0.000763361,0.00006574632,0.00003265946,0.0002569984,0.00003565552,0.00002779538],"category_scores_gemma":[0.0008527123,0.0001544107,0.00004483455,0.0007566677,0.0001350794,0.0002098082,0.000206153,0.0001798171,3.783707e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001693772,"about_ca_system_score_gemma":0.00007622839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007791404,"about_ca_topic_score_gemma":0.000005228191,"domain_scores_codex":[0.9982705,0.0003831623,0.0006149911,0.0003350743,0.0002357314,0.000160599],"domain_scores_gemma":[0.9975557,0.002016018,0.0002067023,0.0001296124,0.00005455545,0.0000374604],"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":[0.0000321632,0.00002960502,0.005743301,0.0001614451,0.00005744809,3.926517e-7,0.0005351522,0.9283774,0.0618578,0.002514439,4.072564e-7,0.0006903951],"study_design_scores_gemma":[0.0002620438,0.00002978249,0.01207565,0.00008157282,0.00005534279,0.000001972366,0.00005211959,0.9638342,0.009703817,0.01379082,0.000005294439,0.0001073708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1499181,0.0001698148,0.8494956,0.00002602651,0.00006386136,0.000123343,0.0001214897,0.00002839035,0.00005332727],"genre_scores_gemma":[0.504859,0.000004737629,0.4949363,0.000005399661,0.000006112028,0.000006644157,0.0001742827,0.00000532018,0.00000212094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.354941,"threshold_uncertainty_score":0.6296684,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}