{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":80,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":80,"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":"6ba1e7b46f48","filters":{"venue":"Engineering"}},"results":[{"id":"W2997532515","doi":"10.1016/j.eng.2019.12.012","title":"Adversarial Attacks and Defenses in Deep Learning","year":2020,"lang":"en","type":"article","venue":"Engineering","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":660,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Adversarial system; Adversarial machine learning; Computer science; Robustness (evolution); Vulnerability (computing); Deep learning; Artificial intelligence; Implementation; Computer security; Frontier; Cover (algebra); Data science; Field (mathematics); Attack surface; Machine learning; Engineering; Political science; Software engineering; Mathematics","authors":[{"name":"Kui Ren","is_ca":false},{"name":"Tianhang Zheng","is_ca":true},{"name":"Zhan Qin","is_ca":false},{"name":"Xue Liu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007379679572347504,"gpt":0.2004817178216978,"spread":0.1931020382493503,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004573397,0.00106849,0.001132393,0.001395374,0.0008667872,0.002227833,0.001658666,0.002690666,0.001372013],"category_scores_gemma":[0.01597381,0.0007117487,0.0008417271,0.0009051567,0.004957999,0.004144968,0.004322578,0.005431331,0.0002656218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882661,"about_ca_system_score_gemma":0.001028053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000950691,"about_ca_topic_score_gemma":0.0006735323,"domain_scores_codex":[0.99644,0.001489977,0.0001439808,0.0004814029,0.001090902,0.0003537034],"domain_scores_gemma":[0.9866584,0.01050177,0.0008635991,0.00120349,0.0005263605,0.000246411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008840835,0.00004800714,0.0008203341,0.0001594755,0.00008015339,0.0001270652,0.0001507179,0.3440003,0.00208723,0.6109589,0.002911153,0.03856817],"study_design_scores_gemma":[0.000008869015,0.00003532804,0.0001378557,0.00005057006,0.000009224771,0.00006450713,0.00001875511,0.7299293,0.0008398257,0.2668916,0.001998837,0.00001532512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01417816,0.003825725,0.9704016,0.003135721,0.0001578147,0.00004462261,0.0000619715,0.0002758015,0.007918449],"genre_scores_gemma":[0.8861864,0.005455409,0.1005408,0.001240978,0.00056178,0.000199561,0.0001294104,0.0001277222,0.00555788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004573397,"threshold_uncertainty_score":0.02418667,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2733077120","doi":"10.1016/j.eng.2017.03.022","title":"Recent Developments in the Crystallization Process: Toward the Pharmaceutical Industry","year":2017,"lang":"en","type":"article","venue":"Engineering","topic":"Crystallization and Solubility Studies","field":"Materials Science","cited_by":249,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"China Scholarship Council","keywords":"Crystallization; Pharmaceutical industry; Process development; Process (computing); Process analytical technology; Process engineering; Nanotechnology; Manufacturing engineering; Process control; Pharmaceutical manufacturing; Engineering; Computer science; Biochemical engineering; Work in process; Materials science; Operations management; Biotechnology; Chemical engineering; Bioinformatics","authors":[{"name":"Zhenguo Gao","is_ca":true},{"name":"Sohrab Rohani","is_ca":true},{"name":"Junbo Gong","is_ca":false},{"name":"Jingkang Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06639349820915577,"gpt":0.3378560377804706,"spread":0.2714625395713148,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003219274,0.0007216426,0.0006891586,0.001402571,0.0005331152,0.002200361,0.0007439885,0.001632578,0.002384188],"category_scores_gemma":[0.00205361,0.0005203644,0.0005927309,0.00216169,0.001362307,0.003946677,0.001327062,0.002805871,0.001820737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513146,"about_ca_system_score_gemma":0.001868955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086331,"about_ca_topic_score_gemma":0.0008757806,"domain_scores_codex":[0.9988934,0.0002309298,0.0001122272,0.0001995525,0.0004782098,0.00008575136],"domain_scores_gemma":[0.9985232,0.0005604947,0.0001929949,0.00006800664,0.0005099608,0.0001455064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003129457,0.000330187,0.001097934,0.0116516,0.00006443322,0.000395381,0.0005868693,0.002607084,0.04846318,0.08062688,0.02541448,0.8284492],"study_design_scores_gemma":[0.00002553295,0.0003788173,0.000767811,0.0009669215,0.00006211631,0.0007635797,0.0002121142,0.002503549,0.03045763,0.01531241,0.9484906,0.00005881627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004702711,0.9581792,0.01804264,0.008104604,0.00101101,0.00003930117,0.00004800305,0.0001106775,0.009761782],"genre_scores_gemma":[0.01649816,0.9558184,0.02034419,0.002107119,0.001853318,0.00003410939,0.00007616168,0.0000448673,0.003223752],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003219274,"threshold_uncertainty_score":0.01702535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2727060769","doi":"10.1016/j.eng.2017.03.021","title":"Fluidized-Bed Bioreactor Applications for Biological Wastewater Treatment: A Review of Research and Developments","year":2017,"lang":"en","type":"review","venue":"Engineering","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Western University","funders":"","keywords":"Wastewater; Bioreactor; Environmental science; Waste management; Sewage treatment; Activated sludge; Fluidization; Fluidized bed; Organic matter; Residence time (fluid dynamics); Industrial wastewater treatment; Moving bed biofilm reactor; Environmental engineering; Pulp and paper industry; Chemistry; Engineering; Biofilm; Biology","authors":[{"name":"Michael J. Nelson","is_ca":true},{"name":"George Nakhla","is_ca":true},{"name":"Jesse Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1910384606161422,"gpt":0.387905668159763,"spread":0.1968672075436209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009507756,0.001233293,0.001785976,0.003159722,0.0003981387,0.001721417,0.001166161,0.001509518,0.002432524],"category_scores_gemma":[0.0007317188,0.0005792729,0.00112509,0.004368645,0.0004312416,0.002572004,0.0007011085,0.001460665,0.00175216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006218434,"about_ca_system_score_gemma":0.001068444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001278564,"about_ca_topic_score_gemma":0.001658144,"domain_scores_codex":[0.9995883,0.00004210597,0.00006257494,0.00008505396,0.0001852716,0.00003670486],"domain_scores_gemma":[0.9994469,0.0001758573,0.0001002296,0.0000165299,0.0002133174,0.00004716003],"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":[0.0001258758,0.0003299856,0.0003676929,0.03286951,0.0001334632,0.000369065,0.0001343377,0.001375562,0.02342885,0.003667135,0.01335996,0.9238385],"study_design_scores_gemma":[0.00003460794,0.0006701178,0.001507846,0.004235776,0.000230194,0.001410725,0.0001583753,0.0009715474,0.007798322,0.001710426,0.981167,0.0001049567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005321091,0.9973157,0.0008863382,0.0001618343,0.0001964656,0.00001456039,0.000024003,0.00002097,0.0008479535],"genre_scores_gemma":[0.001415088,0.9960338,0.001444639,0.0001521156,0.0001381701,0.00001706602,0.00005611973,0.000005182893,0.0007376922],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003159722,"threshold_uncertainty_score":0.008137584,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2338667792","doi":"10.1016/j.eng.2016.01.028","title":"Application of Biomaterials in Cardiac Repair and Regeneration","year":2016,"lang":"en","type":"article","venue":"Engineering","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":102,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Regeneration (biology); Medicine; Disease; Intensive care medicine; Drug delivery; Extracellular matrix; Psychological intervention; Scaffold; Neuroscience; Biomedical engineering; Pathology; Nanotechnology; Biology; Materials science; Cell biology","authors":[{"name":"Zhi Min Cui","is_ca":true},{"name":"Baofeng Yang","is_ca":false},{"name":"Ren‐Ke Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005781143449816103,"gpt":0.2236692458410487,"spread":0.2178881023912327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005111453,0.0004712788,0.0003188252,0.001026819,0.0003976765,0.0007685752,0.00023263,0.0009963646,0.001786957],"category_scores_gemma":[0.0003534327,0.0001876086,0.0004130116,0.0005762225,0.0004380381,0.0007157114,0.0006207417,0.0006410763,0.0008251267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850045,"about_ca_system_score_gemma":0.000327299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001653206,"about_ca_topic_score_gemma":0.0002788265,"domain_scores_codex":[0.9997621,0.00005096394,0.00002155622,0.00004228642,0.00009722756,0.00002577999],"domain_scores_gemma":[0.999843,0.00006971299,0.00003212836,0.00001056998,0.00002776392,0.00001675203],"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":[0.0001298049,0.0001679935,0.0007363528,0.005381513,0.00006054292,0.001193115,0.0002559581,0.0009091889,0.7400563,0.01474747,0.003282112,0.2330797],"study_design_scores_gemma":[0.00003850683,0.0009856422,0.003722758,0.001310504,0.0001567265,0.005010443,0.0002961209,0.001741834,0.5871323,0.007384182,0.3921554,0.00006566732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0643822,0.8775606,0.0260546,0.002081173,0.001311857,0.00009346643,0.0001372874,0.000132482,0.02824645],"genre_scores_gemma":[0.4104479,0.5401405,0.03450904,0.001324236,0.0008100781,0.0001841454,0.0001636244,0.00006222916,0.01235824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001786957,"threshold_uncertainty_score":0.005977929,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025870951","doi":"10.4236/eng.2011.32017","title":"Taguchi Optimization of Process Parameters in Friction Stir Welding of 6061 Aluminum Alloy: A Review and Case Study","year":2011,"lang":"en","type":"review","venue":"Engineering","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taguchi methods; Friction stir welding; Rotational speed; Orthogonal array; Welding; Transverse plane; Alloy; Mechanical engineering; Finite element method; Design of experiments; Materials science; Process (computing); Structural engineering; Metallurgy; Engineering; Computer science; Mathematics; Composite material; Statistics","authors":[{"name":"Mohamadreza Nourani","is_ca":true},{"name":"Abbas S. Milani","is_ca":true},{"name":"S. Yannacopoulos","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02849131430416236,"gpt":0.2966696363748651,"spread":0.2681783220707027,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001061906,0.0009875119,0.001453425,0.001907303,0.0002406342,0.000750048,0.001197812,0.001002902,0.0006153642],"category_scores_gemma":[0.0009329737,0.0004342787,0.0008032129,0.004048937,0.0004169462,0.0007194703,0.0002866684,0.00047943,0.0004158906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004775431,"about_ca_system_score_gemma":0.0006746858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547015,"about_ca_topic_score_gemma":0.00247678,"domain_scores_codex":[0.999325,0.000150299,0.0001139337,0.00009477384,0.0002758548,0.00004011515],"domain_scores_gemma":[0.9995522,0.0002375441,0.00008745537,0.00001412648,0.00009795956,0.00001066185],"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":[0.0001127843,0.0002247047,0.0009549388,0.02892781,0.0002125852,0.0008242047,0.0002834409,0.01160728,0.01022148,0.005377156,0.003282766,0.9379707],"study_design_scores_gemma":[0.00008140468,0.002494183,0.01367499,0.01099934,0.001632359,0.01167911,0.001186283,0.02521737,0.04762759,0.009637746,0.8754722,0.0002973528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004018997,0.9885288,0.006002323,0.00007224522,0.00005678115,0.00001419835,0.000009189875,0.00001136604,0.00128608],"genre_scores_gemma":[0.03238269,0.9585398,0.007677244,0.00008167031,0.00009918818,0.00002615024,0.00003756474,0.000006822244,0.001148983],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001907303,"threshold_uncertainty_score":0.00561595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3112169831","doi":"10.1016/j.eng.2020.08.017","title":"Intermolecular and Surface Interactions in Engineering Processes","year":2020,"lang":"en","type":"article","venue":"Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":70,"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":"Canada First Research Excellence Fund; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"DLVO theory; Intermolecular force; van der Waals force; Fouling; Surface forces apparatus; Nanotechnology; Chemical physics; Surface engineering; Surface force; Chemistry; Materials science; Biochemical engineering; Molecule; Atomic force microscopy; Mechanics; Physical chemistry; Engineering; Physics; Membrane; Organic chemistry","authors":[{"name":"Jiawen Zhang","is_ca":true},{"name":"Hongbo Zeng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01006876809190889,"gpt":0.2226384296925288,"spread":0.2125696616006199,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006468401,0.0006485114,0.0008363449,0.0007725699,0.0006070264,0.001392806,0.0006572129,0.00117249,0.001490024],"category_scores_gemma":[0.0004485304,0.0003762916,0.0003937683,0.0009909236,0.001301428,0.002101106,0.0009506684,0.001741673,0.0006899853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000819625,"about_ca_system_score_gemma":0.0005675134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007518342,"about_ca_topic_score_gemma":0.000565698,"domain_scores_codex":[0.9994401,0.0001171661,0.0000483493,0.0001133038,0.0002121271,0.00006895935],"domain_scores_gemma":[0.9998287,0.00007930692,0.00002993481,0.00001496494,0.00003446952,0.00001269947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006345903,0.0001456456,0.0006940993,0.01041405,0.000100323,0.0007870799,0.0007591847,0.01169316,0.1255199,0.5445516,0.006362702,0.2989088],"study_design_scores_gemma":[0.0000148403,0.00028608,0.001494415,0.001090971,0.00008087535,0.001314608,0.0003838075,0.01121604,0.06741047,0.1968752,0.7197404,0.00009236924],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01660677,0.9109389,0.03862725,0.001636018,0.00131424,0.00005432895,0.00006330568,0.0001023233,0.03065693],"genre_scores_gemma":[0.2254873,0.7299508,0.02831174,0.001032807,0.001779806,0.0001843178,0.000138832,0.00005706246,0.01305738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001490024,"threshold_uncertainty_score":0.005946815,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884522139","doi":"10.1016/j.eng.2018.07.006","title":"Aphanomyces euteiches: A Threat to Canadian Field Pea Production","year":2018,"lang":"en","type":"article","venue":"Engineering","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Agriculture and Agri-Food Canada; University of Alberta","funders":"Javna Agencija za Raziskovalno Dejavnost RS; Agriculture and Agri-Food Canada; Saskatchewan Pulse Growers","keywords":"Field pea; Biology; Sativum; Root rot; Agronomy","authors":[{"name":"Longfei Wu","is_ca":true},{"name":"K. F. Chang","is_ca":false},{"name":"R. L. Conner","is_ca":true},{"name":"Stephen E. Strelkov","is_ca":true},{"name":"Rudolph Fredua‐Agyeman","is_ca":false},{"name":"Sheau‐Fang Hwang","is_ca":false},{"name":"David Feindel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008476677249971655,"gpt":0.1646312892396278,"spread":0.1561546119896561,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002431772,0.0003519454,0.0001118353,0.0005621845,0.001306243,0.0005936422,0.0002690738,0.0003144529,0.001204257],"category_scores_gemma":[0.0001776442,0.00006373286,0.0001030799,0.0006008573,0.0003027973,0.0002458062,0.0002446455,0.0003542565,0.0001125512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006543792,"about_ca_system_score_gemma":0.01060648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8455242,"about_ca_topic_score_gemma":0.9211587,"domain_scores_codex":[0.9998211,0.000009496401,0.000005235645,0.00002780048,0.00008673027,0.00004962091],"domain_scores_gemma":[0.9997821,0.0000145831,0.00002972796,0.000005836013,0.0001233455,0.0000443769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003949733,0.0002178843,0.08897324,0.001123632,0.00008445002,0.003414555,0.001492059,0.001136764,0.5681767,0.004435846,0.007807036,0.3227429],"study_design_scores_gemma":[0.0000226331,0.0006625651,0.7925562,0.0002124427,0.0001235677,0.002675444,0.003388189,0.0009544801,0.04500592,0.0008328109,0.1534869,0.00007887572],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264266,0.03276024,0.002164635,0.003957214,0.00007420577,0.00009468073,0.001582287,0.0002544904,0.03268554],"genre_scores_gemma":[0.9494556,0.02483855,0.002882262,0.0004949472,0.00001984734,0.00001294705,0.0008176956,0.00001320655,0.02146503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1544758,"threshold_uncertainty_score":0.310771,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4389454801","doi":"10.1016/j.eng.2023.10.007","title":"Ensuring Secure Platooning of Constrained Intelligent and Connected Vehicles Against Byzantine Attacks: A Distributed MPC Framework","year":2023,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Computer security; Byzantine architecture; Computer science; Computer network","authors":[{"name":"Henglai Wei","is_ca":true},{"name":"Hui Zhang","is_ca":false},{"name":"Kamal AI-Haddad","is_ca":true},{"name":"Yang Shi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006247645097050098,"gpt":0.2010600123985903,"spread":0.1948123673015403,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008673369,0.001080447,0.0006971024,0.0004904454,0.0004720195,0.0007660843,0.001031125,0.0006598287,0.0009609642],"category_scores_gemma":[0.002185082,0.0002635055,0.000554272,0.0003278589,0.001442351,0.0009334481,0.001484729,0.001080225,0.0001040319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009325293,"about_ca_system_score_gemma":0.001241083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005238069,"about_ca_topic_score_gemma":0.00237682,"domain_scores_codex":[0.9995056,0.000108551,0.00001603322,0.0001505268,0.0001407102,0.00007849474],"domain_scores_gemma":[0.9992157,0.00031283,0.000181239,0.0001112139,0.0001269354,0.00005198818],"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":[0.00002704469,0.000008764114,0.000135059,0.00001844515,0.00001160104,0.00003465524,0.00002329711,0.9831566,0.00149021,0.009447212,0.000109296,0.005537853],"study_design_scores_gemma":[0.00000350696,0.00001817007,0.00003829514,0.000001729233,0.000003170015,0.00000484164,0.000004752706,0.9963878,0.0004241911,0.003003713,0.0001078251,0.000001905694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02697851,0.00007757969,0.9704486,0.0001058529,0.00001778579,0.0000350211,0.00002624861,0.0001678178,0.002142565],"genre_scores_gemma":[0.9739845,0.00008798829,0.02487902,0.00002582628,0.00001924015,0.00004210594,0.00002408877,0.00002781213,0.0009095131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005238069,"threshold_uncertainty_score":0.01041514,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4319769514","doi":"10.1016/j.eng.2022.12.008","title":"Data-Driven Learning for Data Rights, Data Pricing, and Privacy Computing","year":2023,"lang":"en","type":"article","venue":"Engineering","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Big data; Computer science; Information privacy; Transaction data; Data Protection Act 1998; Data science; Database transaction; Transaction cost; Key (lock); Computer security; Business; Data mining; Database; Finance","authors":[{"name":"Jimin Xu","is_ca":false},{"name":"Nuanxin Hong","is_ca":false},{"name":"Zhening Xu","is_ca":false},{"name":"Zhou Zhao","is_ca":false},{"name":"Chao Wu","is_ca":false},{"name":"Kun Kuang","is_ca":false},{"name":"Jiaping Wang","is_ca":false},{"name":"Mingjie Zhu","is_ca":false},{"name":"Jingren Zhou","is_ca":false},{"name":"Kui Ren","is_ca":false},{"name":"Xiaohu Yang","is_ca":false},{"name":"Cewu Lu","is_ca":false},{"name":"Jian Pei","is_ca":true},{"name":"Harry Shum","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08175695664528417,"gpt":0.3090243235255185,"spread":0.2272673668802344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01151794,0.0007828499,0.0013132,0.001640503,0.001755183,0.00817363,0.003130787,0.004498147,0.007760514],"category_scores_gemma":[0.02850584,0.0006087474,0.001472398,0.003819457,0.007166937,0.01675407,0.005887314,0.007106784,0.002091032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004397154,"about_ca_system_score_gemma":0.004350646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001500821,"about_ca_topic_score_gemma":0.001390603,"domain_scores_codex":[0.9897693,0.004574456,0.0006074788,0.001691743,0.002962958,0.0003940123],"domain_scores_gemma":[0.9819278,0.01216653,0.0009192719,0.003078378,0.001511157,0.0003968646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003131742,0.00005298134,0.0004129721,0.0002451908,0.00002649786,0.00007267255,0.0001445153,0.008201828,0.0002493512,0.9179876,0.007791126,0.06478386],"study_design_scores_gemma":[0.00001351523,0.00002186887,0.0001540201,0.0001733112,0.00001267571,0.0001356321,0.00008442454,0.0567426,0.0006956992,0.8949196,0.04702277,0.0000238361],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005092055,0.01519506,0.8983098,0.04198394,0.0008095646,0.000283754,0.0004390318,0.0004897455,0.03739702],"genre_scores_gemma":[0.3778761,0.02408058,0.5566419,0.01122656,0.003039579,0.00107501,0.00132931,0.0004136197,0.02431726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01151794,"threshold_uncertainty_score":0.06091344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4288046053","doi":"10.1016/j.eng.2022.06.012","title":"Probing the Interfacial Forces and Surface Interaction Mechanisms in Petroleum Production Processes","year":2022,"lang":"en","type":"article","venue":"Engineering","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","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 Alberta","funders":"","keywords":"Fouling; Asphaltene; Emulsion; Asphalt; Petroleum; Biofouling; Membrane fouling; Produced water; Oil droplet; Materials science; Nanotechnology; Petroleum engineering; Chemical engineering; Chemistry; Membrane; Composite material; Engineering; Organic chemistry","authors":[{"name":"Diling Yang","is_ca":true},{"name":"Xuwen Peng","is_ca":true},{"name":"Qiongyao Peng","is_ca":true},{"name":"Tao Wang","is_ca":true},{"name":"Chenyu Qiao","is_ca":true},{"name":"Ziqian Zhao","is_ca":true},{"name":"Lu Gong","is_ca":true},{"name":"Yueliang Liu","is_ca":false},{"name":"Hao Zhang","is_ca":true},{"name":"Hongbo Zeng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008095572050249177,"gpt":0.2163458852399431,"spread":0.2082503131896939,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005147723,0.0007143091,0.0004393045,0.001439044,0.0004357577,0.0005693234,0.0004578256,0.0009499182,0.0006866654],"category_scores_gemma":[0.000433219,0.0003669627,0.0004450084,0.0009518493,0.0003633744,0.001505256,0.0005232024,0.001097845,0.0002970916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929314,"about_ca_system_score_gemma":0.0003262345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845406,"about_ca_topic_score_gemma":0.001368204,"domain_scores_codex":[0.9995114,0.00004088016,0.00002633669,0.00008776929,0.0002713664,0.00006234877],"domain_scores_gemma":[0.9997916,0.00008132603,0.00005660443,0.000007311613,0.00004992708,0.00001328795],"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":[0.00004258686,0.00006967212,0.002333465,0.0009885075,0.0000320727,0.0001515573,0.0001250576,0.001358669,0.9668443,0.001381614,0.0002989358,0.02637373],"study_design_scores_gemma":[0.00001994163,0.0003554181,0.02553932,0.0001884478,0.0001197013,0.0006931123,0.0005013822,0.03630276,0.9074705,0.00380464,0.02490009,0.0001046761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7060023,0.1701003,0.1067817,0.001305445,0.0002470891,0.0002063558,0.0009543942,0.0004943341,0.01390807],"genre_scores_gemma":[0.8700314,0.08153555,0.04398402,0.0004741716,0.0001827434,0.0002332302,0.0005691834,0.00004856846,0.002941032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001845406,"threshold_uncertainty_score":0.004302025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3194918255","doi":"10.1016/j.eng.2021.04.027","title":"Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Interface (matter); Context (archaeology); Process (computing); Artificial intelligence; Noise (video); Tracking (education); Control (management); Object (grammar); Machine learning; Computer vision","authors":[{"name":"Oguzhan Dogru","is_ca":true},{"name":"Kirubakaran Velswamy","is_ca":true},{"name":"Biao Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009053442320821347,"gpt":0.251530277148817,"spread":0.2424768348279956,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001541762,0.0007859655,0.0007558942,0.0004110403,0.0002572077,0.0007044809,0.001025363,0.001117581,0.00195679],"category_scores_gemma":[0.004327946,0.0004731563,0.0005318449,0.00042982,0.001231612,0.0006648876,0.0007427273,0.001707489,0.0004819462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009986241,"about_ca_system_score_gemma":0.001111497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004328344,"about_ca_topic_score_gemma":0.00291495,"domain_scores_codex":[0.9995719,0.0001426343,0.00002671957,0.00009273223,0.000133525,0.00003254758],"domain_scores_gemma":[0.998393,0.001065895,0.0001319749,0.00008323154,0.000269655,0.00005615429],"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":[0.00001809956,0.00002865266,0.0003364507,0.00008362278,0.00002521554,0.00005895594,0.00005755125,0.941246,0.001440987,0.01915506,0.0005802944,0.03696912],"study_design_scores_gemma":[0.000003645533,0.00001069894,0.00002386312,0.000007302537,0.000002339975,0.000007396696,0.000002289378,0.9965584,0.0004947443,0.00220091,0.0006859608,0.000002486782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00193522,0.0002808779,0.9956141,0.00008926463,0.00002664089,0.00002515194,0.000005538057,0.0002512333,0.001772036],"genre_scores_gemma":[0.5239227,0.001129942,0.4682091,0.0002277513,0.00008062564,0.0003310454,0.00007238914,0.0001745493,0.00585196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004328344,"threshold_uncertainty_score":0.008606315,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3175635081","doi":"10.1016/j.eng.2021.05.011","title":"Prospects of Huygens’ Metasurfaces for Antenna Applications","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":34,"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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Antenna (radio); Physics; Optics; Computer science; Telecommunications","authors":[{"name":"George V. Eleftheriades","is_ca":true},{"name":"Minseok Kim","is_ca":true},{"name":"Vasileios G. Ataloglou","is_ca":true},{"name":"Ayman H. Dorrah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009633819859061163,"gpt":0.2017816995150504,"spread":0.1921478796559892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007742735,0.0005420144,0.0004578813,0.0003111748,0.0001833147,0.001122362,0.0009376522,0.001692811,0.005095755],"category_scores_gemma":[0.0007794875,0.0002742899,0.0004556127,0.000457663,0.0007441963,0.001988207,0.000674348,0.0009148163,0.001489575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004633004,"about_ca_system_score_gemma":0.0002601936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000193661,"about_ca_topic_score_gemma":0.0001431695,"domain_scores_codex":[0.9997807,0.00006512338,0.00000618197,0.00002832347,0.0000827099,0.00003693047],"domain_scores_gemma":[0.9996723,0.0001091238,0.00002518515,0.00006317559,0.00009807939,0.00003221961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002975794,0.0001271898,0.0006836589,0.0004026332,0.00004917971,0.0001800622,0.0002714462,0.01981685,0.07573601,0.7749536,0.008115581,0.1193662],"study_design_scores_gemma":[0.00008191641,0.0005752725,0.001545619,0.0001851166,0.00003932687,0.0007512268,0.0003856565,0.2603678,0.05800468,0.4708809,0.2070891,0.00009333208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1267207,0.07336373,0.5884919,0.01372402,0.001868745,0.00007298712,0.0002196128,0.001276412,0.194262],"genre_scores_gemma":[0.7500269,0.02217372,0.184781,0.001122197,0.0009130132,0.00007758443,0.0002888484,0.0002027151,0.04041405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005095755,"threshold_uncertainty_score":0.01704699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385813894","doi":"10.1016/j.eng.2023.04.015","title":"Low-Cost Federated Broad Learning for Privacy-Preserved Knowledge Sharing in the RIS-Aided Internet of Vehicles","year":2023,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Memorial University of Newfoundland; University of Windsor","funders":"","keywords":"Computer science; Scheduling (production processes); Distributed computing; The Internet; Shared resource; Artificial intelligence; Computer network; World Wide Web; Engineering","authors":[{"name":"Xiaoming Yuan","is_ca":false},{"name":"Jiahui Chen","is_ca":false},{"name":"Ning Zhang","is_ca":true},{"name":"Qiang Ye","is_ca":true},{"name":"Changle Li","is_ca":false},{"name":"Chunsheng Zhu","is_ca":false},{"name":"Xuemin Shen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03089013494735299,"gpt":0.2714355225080388,"spread":0.2405453875606858,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001318894,0.0006268974,0.001117587,0.0004325874,0.0007596626,0.001324953,0.002035226,0.001122736,0.001409962],"category_scores_gemma":[0.002900214,0.0003610825,0.0005289844,0.0006960781,0.00107905,0.002345084,0.002396839,0.001078436,0.000205327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131408,"about_ca_system_score_gemma":0.001852526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004566497,"about_ca_topic_score_gemma":0.003017752,"domain_scores_codex":[0.998907,0.0002734915,0.0000363484,0.0002876362,0.0002309882,0.0002645117],"domain_scores_gemma":[0.9989659,0.000455811,0.0001234971,0.0001723019,0.000181322,0.0001011563],"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":[0.00009633099,0.00006161186,0.0005533834,0.00003119938,0.00001883419,0.00008312776,0.00005154353,0.9510328,0.001309205,0.01002002,0.0006134647,0.03612852],"study_design_scores_gemma":[0.000004963598,0.00001758073,0.00004950666,0.000001593694,0.000002776959,0.00001118368,0.00001262641,0.9951493,0.0003701861,0.00421553,0.0001617151,0.000003052396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04979033,0.0001539932,0.946918,0.0002506599,0.0000214862,0.00003764162,0.0000390503,0.0003832597,0.00240565],"genre_scores_gemma":[0.9648221,0.00007584546,0.03329422,0.00007977065,0.000009502275,0.00006824858,0.00005790723,0.00002223851,0.001570048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004566497,"threshold_uncertainty_score":0.009534299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312100416","doi":"10.1016/j.eng.2022.10.008","title":"The Promise of Solid-State Batteries for Safe and Reliable Energy Storage","year":2022,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation; Canada Foundation for Innovation; Western University; Canada Research Chairs; Banting Research Foundation","keywords":"Energy storage; Solid-state; State (computer science); Computer science; Engineering; Engineering physics; Physics","authors":[{"name":"Changhong Wang","is_ca":true},{"name":"Xueliang Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007420141675335118,"gpt":0.2221846201156005,"spread":0.2147644784402654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007226948,0.0004611832,0.0004292258,0.0003982364,0.0006452648,0.00200527,0.0007715152,0.001688793,0.008196433],"category_scores_gemma":[0.001462788,0.0002254808,0.0003639981,0.0005680567,0.00111068,0.004446746,0.0008857922,0.001879949,0.003527025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005429713,"about_ca_system_score_gemma":0.0009392939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004598502,"about_ca_topic_score_gemma":0.0007157701,"domain_scores_codex":[0.9996183,0.00003639152,0.00001452661,0.0000468516,0.0002498408,0.00003407184],"domain_scores_gemma":[0.9993796,0.0002148544,0.00003163327,0.00006251107,0.0002555882,0.00005579471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005047763,0.0001457405,0.0008332917,0.001686196,0.00005793079,0.0003651538,0.0002512894,0.008678972,0.1475804,0.561492,0.04720974,0.2311946],"study_design_scores_gemma":[0.00004920866,0.0003527841,0.0004057884,0.0002727553,0.00004528458,0.0005620639,0.0002488539,0.02334249,0.1135101,0.2828466,0.5782984,0.00006560307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1313688,0.265144,0.1882104,0.07741462,0.01824591,0.0001651744,0.002299097,0.001705877,0.3154461],"genre_scores_gemma":[0.7343182,0.1371777,0.03360336,0.002944866,0.003515052,0.0001304552,0.001225419,0.0002872164,0.08679775],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008196433,"threshold_uncertainty_score":0.02741981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2966180959","doi":"10.1016/j.eng.2019.02.010","title":"Neosporosis: An Overview of Its Molecular Epidemiology and Pathogenesis","year":2019,"lang":"en","type":"article","venue":"Engineering","topic":"Toxoplasma gondii Research Studies","field":"Immunology and Microbiology","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health; Canadian Institute for Advanced Research; Division of Intramural Research, National Institute of Allergy and Infectious Diseases","keywords":"Neospora caninum; Biology; Neospora; Genetics; Virology; Population; Genome; Ribosomal RNA; Genomics; Toxoplasma gondii; Gene; Medicine","authors":[{"name":"Asis Khan","is_ca":false},{"name":"Jahangheer Shaik","is_ca":false},{"name":"Patricia Sikorski","is_ca":false},{"name":"J. P. Dubey","is_ca":false},{"name":"Michael E. Grigg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03670767724221134,"gpt":0.2958311270277245,"spread":0.2591234497855132,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005362774,0.000695259,0.0007396723,0.002975417,0.0002497963,0.0009872293,0.0004848375,0.0009917312,0.001073875],"category_scores_gemma":[0.0004254506,0.0003082613,0.0004860411,0.001286845,0.0004407697,0.001363606,0.0005511133,0.0012014,0.0005718417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006037672,"about_ca_system_score_gemma":0.0006050628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002230655,"about_ca_topic_score_gemma":0.001990848,"domain_scores_codex":[0.99977,0.00004704445,0.00004307706,0.00004639245,0.00005540426,0.00003811825],"domain_scores_gemma":[0.9996955,0.00008852158,0.00007644956,0.00001003309,0.00008475917,0.00004473131],"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":[0.0003143112,0.0002462377,0.0285708,0.007690489,0.0001771426,0.001576519,0.0004811195,0.0008319427,0.01520624,0.003105317,0.02312866,0.9186712],"study_design_scores_gemma":[0.00003639446,0.00121306,0.1574424,0.009465594,0.0006785243,0.04463992,0.001187056,0.002582588,0.003665438,0.006591685,0.7723233,0.0001741526],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006729704,0.9879124,0.001540852,0.001323998,0.0001613857,0.00002980945,0.0001114796,0.00005423678,0.002136154],"genre_scores_gemma":[0.01887536,0.9757592,0.002681442,0.0005080741,0.0007567207,0.00003226478,0.000311022,0.000008577737,0.001067287],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002975417,"threshold_uncertainty_score":0.004435301,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3137687729","doi":"10.1016/j.eng.2020.12.019","title":"Enlightenment from the COVID-19 Pandemic: The Roles of Environmental Factors in Future Public Health Emergency Response","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Pandemic; Public health; Environmental health; Environmental planning; Business; Coronavirus disease 2019 (COVID-19); Environmental resource management; Disease; Medicine; Infectious disease (medical specialty); Geography; Economics","authors":[{"name":"Xiaolei Wang","is_ca":false},{"name":"Fengchang Wu","is_ca":false},{"name":"Xiaoli Zhao","is_ca":false},{"name":"Xiao Zhang","is_ca":false},{"name":"Junyu Wang","is_ca":false},{"name":"Lin Niu","is_ca":false},{"name":"Weigang Liang","is_ca":false},{"name":"Kmy Leung","is_ca":false},{"name":"John P. Giesy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03882802669882888,"gpt":0.2902660911344509,"spread":0.251438064435622,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004784161,0.0006773485,0.0006211131,0.0005997636,0.0028532,0.007938264,0.0007886927,0.00338519,0.006468927],"category_scores_gemma":[0.006563708,0.0002514475,0.000789214,0.0004677802,0.003922445,0.008279711,0.004496909,0.005790935,0.001360047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00282788,"about_ca_system_score_gemma":0.00907646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006441166,"about_ca_topic_score_gemma":0.01342037,"domain_scores_codex":[0.9970834,0.001661965,0.00008407948,0.0002511069,0.0004323526,0.0004872303],"domain_scores_gemma":[0.9946078,0.001729586,0.0006580256,0.0002379831,0.001207989,0.001558549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000452661,0.0006431359,0.07717621,0.003289657,0.000322297,0.002344294,0.01682025,0.0048587,0.0067013,0.1259565,0.2978912,0.4635439],"study_design_scores_gemma":[0.00002603761,0.000488497,0.0333411,0.002783802,0.0001651041,0.000630641,0.05332851,0.002644739,0.00205307,0.1153751,0.7889193,0.0002440763],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08090717,0.05501367,0.02457697,0.7357436,0.01345381,0.0001997747,0.0007054913,0.0003418654,0.0890576],"genre_scores_gemma":[0.730093,0.07210257,0.0201918,0.1498463,0.00785811,0.0002296072,0.0005248594,0.0002003476,0.01895332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007938264,"threshold_uncertainty_score":0.0253014,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955751796","doi":"10.1016/j.eng.2019.07.001","title":"New Trends in Intelligent Manufacturing","year":2019,"lang":"en","type":"article","venue":"Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":26,"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":"","keywords":"Manufacturing engineering; Engineering; Computer science; Business","authors":[{"name":"Liang Gao","is_ca":false},{"name":"Weiming Shen","is_ca":true},{"name":"Xinyu Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0052319616344135,"gpt":0.185263762521674,"spread":0.1800318008872605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270799,0.0007865802,0.0007568576,0.00233034,0.0008018391,0.003646785,0.001495928,0.002931468,0.01335499],"category_scores_gemma":[0.004090923,0.0002772081,0.0007545638,0.00225265,0.003228854,0.007410334,0.001695381,0.004444943,0.00395716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087181,"about_ca_system_score_gemma":0.001556199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006394415,"about_ca_topic_score_gemma":0.001048383,"domain_scores_codex":[0.9981189,0.0004101644,0.0001117336,0.0002745333,0.0009303968,0.0001542532],"domain_scores_gemma":[0.9959486,0.001829316,0.000228205,0.0003534075,0.001285132,0.0003554323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006035946,0.0001178145,0.0007222142,0.001182806,0.00003902689,0.0001863953,0.0004301965,0.001065056,0.001403537,0.6732667,0.06427272,0.2572533],"study_design_scores_gemma":[0.00001188002,0.00007351435,0.0005145922,0.0004155948,0.00001387279,0.0003755227,0.0002444563,0.001851993,0.0005424244,0.1311556,0.8647747,0.00002575035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.007002427,0.5315855,0.07173926,0.08771984,0.01399532,0.00007928306,0.0002065728,0.0005473818,0.2871245],"genre_scores_gemma":[0.1491338,0.6129448,0.07633439,0.03602639,0.03038301,0.0002349704,0.0005467405,0.0002883259,0.0941076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01335499,"threshold_uncertainty_score":0.0446769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2570403866","doi":"10.1016/j.eng.2016.04.016","title":"Performance Assessment and Outlook of China’s Emission-Trading Scheme","year":2016,"lang":"en","type":"article","venue":"Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Economic and Social Research Council; Natural Environment Research Council; Sight Research UK","keywords":"China; Emissions trading; Emission intensity; Order (exchange); Quarter (Canadian coin); Environmental science; Greenhouse gas; Natural resource economics; Business; Environmental economics; Economics; Engineering; Geography; Finance; Electrical engineering","authors":[{"name":"Dabo Guan","is_ca":false},{"name":"Yuli Shan","is_ca":false},{"name":"Zhu Liu","is_ca":false},{"name":"Kebin He","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004097169229723021,"gpt":0.213143369341885,"spread":0.209046200112162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003534477,0.0006084437,0.0003370323,0.001951013,0.0007102265,0.001925435,0.0009239453,0.0006743435,0.002297038],"category_scores_gemma":[0.003247366,0.0001582982,0.0004872824,0.003442668,0.0004319563,0.001309488,0.0007450812,0.0004068683,0.0003752148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008181747,"about_ca_system_score_gemma":0.007926118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.144,"about_ca_topic_score_gemma":0.1285777,"domain_scores_codex":[0.9976252,0.0004038193,0.0001033611,0.0001406024,0.001288686,0.0004383948],"domain_scores_gemma":[0.9965507,0.000338764,0.0004490205,0.0001939484,0.002104942,0.0003625877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002086829,0.0006250155,0.4634958,0.0006601127,0.0002987463,0.001133781,0.0008580795,0.1794422,0.01398088,0.05088123,0.03960096,0.2469363],"study_design_scores_gemma":[0.000136025,0.001322856,0.7682348,0.00008645414,0.0001764989,0.0001645574,0.001362099,0.1553545,0.009110076,0.003994575,0.05990661,0.0001510395],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262668,0.001135443,0.001978067,0.001707545,0.00008273557,0.0002434613,0.01109877,0.000252017,0.05723517],"genre_scores_gemma":[0.9857048,0.0005096883,0.001500102,0.0001065589,0.00002165651,0.00005916425,0.005910582,0.00001887169,0.006168529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.144,"threshold_uncertainty_score":0.2863237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610266637","doi":"10.1016/j.eng.2017.02.004","title":"Real-Time Assessment and Diagnosis of Process Operating Performance","year":2017,"lang":"en","type":"article","venue":"Engineering","topic":"Fault Detection and Control Systems","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":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Computer science; Operating point; Process (computing); Principal component analysis; Probabilistic logic; Benchmark (surveying); A priori and a posteriori; Data mining; Mode (computer interface); Cluster analysis; Kernel (algebra); Machine learning; Artificial intelligence; Engineering; Mathematics","authors":[{"name":"Shabnam Sedghi","is_ca":true},{"name":"Biao Huang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006077572783726138,"gpt":0.2386370570574916,"spread":0.2325594842737655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001349509,0.0009075125,0.0005972585,0.001567841,0.0002718279,0.0008825231,0.0006586689,0.0006424191,0.0009308477],"category_scores_gemma":[0.004469067,0.0002281769,0.0003275812,0.0007214902,0.0004202207,0.0009387888,0.0005384358,0.0005589699,0.0003130758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005380512,"about_ca_system_score_gemma":0.0005623798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001973196,"about_ca_topic_score_gemma":0.001635535,"domain_scores_codex":[0.9990157,0.0002167092,0.0000649433,0.0002391399,0.0004077338,0.00005579843],"domain_scores_gemma":[0.9979931,0.0007421976,0.0005266664,0.0001877921,0.0005002582,0.00004991428],"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":[0.0008866931,0.0002480049,0.03025301,0.0003896425,0.0001024496,0.000280133,0.0003050118,0.5127756,0.08336367,0.003761934,0.001378929,0.3662549],"study_design_scores_gemma":[0.000008252714,0.0001112894,0.006330567,0.00001132346,0.00001439589,0.0000647065,0.00005003952,0.9712534,0.02030265,0.001374258,0.0004544885,0.00002471996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1789022,0.0003883666,0.8160594,0.0001312638,0.00003510074,0.00007379979,0.0002237428,0.00192705,0.002259115],"genre_scores_gemma":[0.9500989,0.0001465348,0.04896476,0.00001827583,0.00001064669,0.00003542545,0.0001266616,0.0000394915,0.0005592887],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001973196,"threshold_uncertainty_score":0.007136941,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402292956","doi":"10.1016/j.eng.2024.08.018","title":"Droplet-Based Microfluidics with Mass Spectrometry for Microproteomics","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Key Technologies Research and Development Program; Natural Science Foundation of Beijing Municipality; Sun Yat-sen University; National Natural Science Foundation of China","keywords":"Microfluidics; Mass spectrometry; Chemistry; Chromatography; Nanotechnology; Analytical Chemistry (journal); Computer science; Materials science","authors":[{"name":"Hang Li","is_ca":false},{"name":"Yudan Ma","is_ca":false},{"name":"Rongxin Fu","is_ca":false},{"name":"Jiaxi Peng","is_ca":true},{"name":"Yanbing Zhai","is_ca":false},{"name":"Jinhua Li","is_ca":false},{"name":"Wei Xu","is_ca":false},{"name":"Siyi Hu","is_ca":false},{"name":"Hanbin Ma","is_ca":false},{"name":"Aaron R. Wheeler","is_ca":true},{"name":"Shuailong Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005820799940597336,"gpt":0.2013313069723509,"spread":0.1955105070317535,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00115105,0.001223734,0.0009975529,0.001332965,0.0004500911,0.00105683,0.00136701,0.001350622,0.003520835],"category_scores_gemma":[0.001051601,0.0006780916,0.0007131888,0.0009032914,0.0006071097,0.001612925,0.001432677,0.001000088,0.00207533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099099,"about_ca_system_score_gemma":0.000672446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338602,"about_ca_topic_score_gemma":0.0005702341,"domain_scores_codex":[0.99875,0.0001580322,0.00009178627,0.0003086793,0.0006204952,0.00007099081],"domain_scores_gemma":[0.999676,0.0001370421,0.0000585828,0.00003645059,0.00006132239,0.00003056146],"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":[0.0001418065,0.0001143165,0.0004932629,0.001342369,0.00009168833,0.0002154437,0.00007485403,0.0009813602,0.8952587,0.013127,0.006381047,0.08177809],"study_design_scores_gemma":[0.00008298909,0.0003340989,0.0006924717,0.0001472796,0.00007032481,0.0007089865,0.00002895445,0.0208913,0.852581,0.004509312,0.119848,0.0001052585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04672733,0.1099558,0.8102621,0.003141423,0.004162102,0.001447618,0.002443656,0.005047373,0.01681257],"genre_scores_gemma":[0.166619,0.04553159,0.7733576,0.002099133,0.001306382,0.001077516,0.001114129,0.0002979252,0.008596733],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003520835,"threshold_uncertainty_score":0.01177841,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3138789615","doi":"10.1016/j.eng.2020.08.024","title":"Characterizing Flight Delay Profiles with a Tensor Factorization Framework","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"Traffic Prediction and Management Techniques","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":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Air traffic management; Computer science; Air traffic control; Aviation; Probabilistic logic; Class (philosophy); Dimension (graph theory); Data mining; Operations research; Data science; Artificial intelligence; Engineering; Mathematics","authors":[{"name":"Mingyuan Zhang","is_ca":false},{"name":"Shenwen Chen","is_ca":false},{"name":"Lijun Sun","is_ca":true},{"name":"Wenbo Du","is_ca":false},{"name":"Xianbin Cao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004495191790315992,"gpt":0.1748282569785561,"spread":0.1703330651882401,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001796182,0.001174445,0.0006617438,0.001986675,0.0005265892,0.001097001,0.0009875812,0.0008927879,0.001055478],"category_scores_gemma":[0.004530233,0.0005259675,0.001365685,0.002095642,0.0006894541,0.001965502,0.0007308567,0.001455815,0.0003682454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009653884,"about_ca_system_score_gemma":0.001246129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02834512,"about_ca_topic_score_gemma":0.02387866,"domain_scores_codex":[0.9990251,0.0003380431,0.00007184365,0.0002912797,0.0001385132,0.0001352853],"domain_scores_gemma":[0.9976247,0.001154806,0.0005223678,0.0002722916,0.0003194765,0.0001063973],"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":[0.0002563791,0.0002537929,0.03426179,0.0002011118,0.0002942499,0.0002578921,0.0004194366,0.7896156,0.005155258,0.03081643,0.003631596,0.1348364],"study_design_scores_gemma":[0.000002806229,0.00002048015,0.001444244,0.000007021595,0.00001103388,0.00002102443,0.00002438719,0.9914885,0.0001432082,0.006444671,0.0003803271,0.000012389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07135469,0.0006311723,0.9252695,0.000431763,0.00005484288,0.00006714339,0.00101251,0.0003814438,0.0007968067],"genre_scores_gemma":[0.8152799,0.0009948654,0.1789377,0.0001146723,0.0001757685,0.0001480999,0.002586896,0.00006288648,0.001699133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02834512,"threshold_uncertainty_score":0.05636024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391486815","doi":"10.1016/j.eng.2023.10.014","title":"Unmanned Aerial Vehicle Inspection Routing and Scheduling for Engineering Management","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"National Natural Science Foundation of China","keywords":"Scalability; Computer science; Scheduling (production processes); Vehicle routing problem; Integer programming; Metaheuristic; Routing (electronic design automation); Variable neighborhood search; Real-time computing; Engineering; Artificial intelligence; Algorithm; Embedded system","authors":[{"name":"Lu Zhen","is_ca":false},{"name":"Zhiyuan Yang","is_ca":false},{"name":"Gilbert Laporte","is_ca":true},{"name":"Wen Yi","is_ca":false},{"name":"Tianyi Fan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008557602085211521,"gpt":0.2318204857179199,"spread":0.2232628836327084,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005868806,0.0007527938,0.0004852518,0.0004195965,0.0004138839,0.0008232547,0.0007444474,0.0006614822,0.002336163],"category_scores_gemma":[0.001199508,0.0003407886,0.0005109096,0.0006981336,0.0003712447,0.0006045011,0.0005886506,0.000711863,0.000265559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081181,"about_ca_system_score_gemma":0.00214502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007185847,"about_ca_topic_score_gemma":0.009220232,"domain_scores_codex":[0.9996046,0.0001867776,0.00001271459,0.00006454984,0.00008002824,0.0000512083],"domain_scores_gemma":[0.9996456,0.0001802867,0.00007431909,0.0000251504,0.0000448285,0.00002982533],"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":[0.00001631796,0.00002709212,0.0002141595,0.00006361597,0.0000134533,0.00002535858,0.00002202994,0.9655976,0.0007229346,0.00915027,0.001389874,0.0227573],"study_design_scores_gemma":[0.000004132059,0.0000179759,0.00007922024,0.00000708522,0.000003872145,0.000008663906,0.00001918483,0.9942721,0.0001899117,0.003666495,0.001728798,0.000002536394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01493157,0.0007279705,0.9768493,0.0003801323,0.0000954122,0.00009396756,0.0001294524,0.0002201458,0.006572023],"genre_scores_gemma":[0.6104904,0.001779139,0.3796223,0.0001610979,0.0001145853,0.0003441928,0.0004359457,0.0001315472,0.006920774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007185847,"threshold_uncertainty_score":0.01428807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057109277","doi":"10.4236/eng.2013.55b009","title":"Development of Wearable Semi-invasive Blood Sampling Devices for Continuous Glucose Monitoring: A Survey","year":2013,"lang":"en","type":"article","venue":"Engineering","topic":"Electrochemical sensors and biosensors","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Wearable computer; Microactuator; Blood sampling; Sampling (signal processing); Continuous monitoring; Blood glucose monitoring; Computer science; Biomedical engineering; Medicine; Embedded system; Engineering; Artificial intelligence; Diabetes mellitus; Telecommunications; Operations management; Internal medicine","authors":[{"name":"Gang Wang","is_ca":true},{"name":"Martin P. Mintchev","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01727946363782609,"gpt":0.213269501183624,"spread":0.1959900375457979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00139303,0.0007399244,0.0006281943,0.00124724,0.0001871328,0.001176073,0.0006987682,0.0008900414,0.001326879],"category_scores_gemma":[0.001119685,0.0005014818,0.0006442883,0.001411532,0.000319714,0.002246228,0.0004221759,0.0007996213,0.0007536918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644785,"about_ca_system_score_gemma":0.0005903051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003968533,"about_ca_topic_score_gemma":0.0004144739,"domain_scores_codex":[0.9992824,0.0001425442,0.00008510501,0.0001628415,0.0002802297,0.00004701478],"domain_scores_gemma":[0.999273,0.0002241581,0.00009416996,0.00003917047,0.0003229509,0.00004646997],"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":[0.0001912241,0.0004529833,0.0039313,0.007802235,0.0001102239,0.0005289,0.0004490471,0.001469942,0.1188019,0.006165399,0.004861693,0.8552352],"study_design_scores_gemma":[0.00006996004,0.006908491,0.02753815,0.003832252,0.0004794426,0.009283637,0.0015916,0.01195649,0.2442945,0.004043725,0.6897304,0.0002713616],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05831122,0.886889,0.04201618,0.001376012,0.0003478548,0.0001673958,0.0001138499,0.0001035656,0.01067487],"genre_scores_gemma":[0.08828955,0.8608307,0.04168046,0.0007056178,0.0002884088,0.0001241935,0.0002990235,0.00003318677,0.007748927],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00139303,"threshold_uncertainty_score":0.007367134,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404450192","doi":"10.1016/j.eng.2024.11.005","title":"Dynamic Cost–Benefit Analysis of Digitalization in the Energy Industry","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Energy Efficiency and Management","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; Horizon 2020 Framework Programme","keywords":"Energy (signal processing); Business; Manufacturing engineering; Industrial organization; Operations management; Engineering; Computer science; Mathematics; Statistics","authors":[{"name":"Jose Angel Leiva Vilaplana","is_ca":false},{"name":"Guangya Yang","is_ca":false},{"name":"Emmanuel Ackom","is_ca":true},{"name":"Roberto Monaco","is_ca":false},{"name":"Yusheng Xue","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005339099636268839,"gpt":0.2136934260101196,"spread":0.2083543263738508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005695791,0.000887503,0.000661869,0.002833737,0.0007224053,0.003897186,0.001119837,0.001351657,0.004508742],"category_scores_gemma":[0.01116396,0.0005148418,0.0009666359,0.002289321,0.001753243,0.004921735,0.00209607,0.001622683,0.0001752538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00559732,"about_ca_system_score_gemma":0.002723414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004768401,"about_ca_topic_score_gemma":0.004629692,"domain_scores_codex":[0.9971651,0.001710342,0.00008008855,0.0001795186,0.0006380131,0.0002268867],"domain_scores_gemma":[0.9913002,0.007199773,0.0005069315,0.0003384658,0.000519176,0.0001355633],"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":[0.0001047909,0.000115118,0.003726243,0.0002209526,0.0001039654,0.0001565117,0.0001525785,0.6861288,0.001159465,0.2645835,0.0005080506,0.04303996],"study_design_scores_gemma":[0.00002951303,0.0002770987,0.003823391,0.0001997535,0.0001738508,0.0001393499,0.0006894839,0.7584046,0.001377663,0.2293288,0.005479762,0.00007674182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3597173,0.003010698,0.5503312,0.003577796,0.0001123757,0.0007545603,0.0005974787,0.0001085575,0.08179004],"genre_scores_gemma":[0.9684193,0.001178695,0.02810569,0.00007921536,0.0000212222,0.0001945319,0.00008515565,0.00001457039,0.001901437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005695791,"threshold_uncertainty_score":0.04061162,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3199295657","doi":"10.1016/j.eng.2021.07.015","title":"Global COVID-19 Pandemic Waves: Limited Lessons Learned Worldwide over the Past Year","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Natural Science Foundation of China; Bill and Melinda Gates Foundation","keywords":"Pandemic; Globe; Quarter (Canadian coin); Government (linguistics); Coronavirus disease 2019 (COVID-19); Transmission (telecommunications); Geography; Psychological intervention; Development economics; Demography; Economic growth; Socioeconomics; Medicine; Economics; Disease; Sociology; Engineering; Infectious disease (medical specialty)","authors":[{"name":"Yongyue Wei","is_ca":false},{"name":"Jinxing Guan","is_ca":false},{"name":"Xiao Ning","is_ca":false},{"name":"Yuelin Li","is_ca":false},{"name":"Liangmin Wei","is_ca":false},{"name":"Sipeng Shen","is_ca":false},{"name":"Ruyang Zhang","is_ca":false},{"name":"Yang Zhao","is_ca":false},{"name":"Hongbing Shen","is_ca":false},{"name":"Feng Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2419902709845615,"gpt":0.4148489021443458,"spread":0.1728586311597843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00416137,0.001004349,0.0008387631,0.0008936048,0.0004633519,0.002885893,0.001131596,0.001450863,0.003433643],"category_scores_gemma":[0.01170478,0.0002934352,0.0005459845,0.001052153,0.001459623,0.005682182,0.001983154,0.002458019,0.0009732938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154042,"about_ca_system_score_gemma":0.003282776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018442,"about_ca_topic_score_gemma":0.01428812,"domain_scores_codex":[0.9989685,0.0003903439,0.00007161712,0.0002137134,0.000235588,0.0001203347],"domain_scores_gemma":[0.9962142,0.001916538,0.0003204815,0.0002930109,0.0008696242,0.0003859922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001688206,0.0001149087,0.01187478,0.002715234,0.0001451399,0.0003334962,0.001820083,0.002701199,0.0006206013,0.005853228,0.0434821,0.9301705],"study_design_scores_gemma":[0.00008249731,0.001409147,0.05033391,0.02141384,0.0004745079,0.0009696222,0.0251172,0.01020165,0.00270839,0.06648212,0.8205455,0.0002616983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09857824,0.6126167,0.01757392,0.229084,0.01057517,0.000219244,0.002724312,0.0005148498,0.02811354],"genre_scores_gemma":[0.3752345,0.5655378,0.01473739,0.03016481,0.005894774,0.0001191125,0.001928146,0.0001326425,0.006250828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01018442,"threshold_uncertainty_score":0.0220077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2036140535","doi":"10.4236/eng.2011.36067","title":"Reactivity of Fine Quartz in Presence of Silica Fume and Slag","year":2011,"lang":"en","type":"article","venue":"Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Silica fume; Ground granulated blast-furnace slag; Pozzolan; Materials science; Quartz; Cement; Microstructure; Reactivity (psychology); Amorphous solid; Metallurgy; Amorphous silica; Pozzolanic reaction; Mineralogy; Slag (welding); Portland cement; Composite material; Chemical engineering; Chemistry","authors":[{"name":"Karima Arroudj","is_ca":false},{"name":"Abdelfetah Zenati","is_ca":false},{"name":"Mohamed Nadjib Oudjit","is_ca":false},{"name":"Abderrahim Bali","is_ca":false},{"name":"Arezki Tagnit‐Hamou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01776779633608367,"gpt":0.2096291296492616,"spread":0.191861333313178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010774,0.0002067122,0.0001703982,0.000230278,0.0001640019,0.0002868623,0.0001315294,0.0001941348,0.001007502],"category_scores_gemma":[0.0002343553,0.0001120541,0.0001388236,0.0001300684,0.0001747853,0.0001131417,0.0001579925,0.00018486,0.0001332613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183535,"about_ca_system_score_gemma":0.0001309893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003426746,"about_ca_topic_score_gemma":0.004697782,"domain_scores_codex":[0.9998376,0.00001960953,0.000008393591,0.00003644703,0.00005496204,0.00004295362],"domain_scores_gemma":[0.9998442,0.00002711555,0.00004601781,0.00001055191,0.00004020361,0.00003193049],"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":[0.0001649693,0.00001551381,0.004227114,0.00003696635,0.00001867014,0.00006464912,0.00005197473,0.0002384223,0.9939359,0.00001830299,0.00001929009,0.001208316],"study_design_scores_gemma":[0.000004467547,0.000376107,0.04173919,0.000005394619,0.00002357826,0.0001188775,0.0001045138,0.000928757,0.9558874,0.00001956023,0.0007836212,0.000008500698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992548,0.000132088,0.000112016,0.000005763802,0.00000266156,0.000003309678,0.00007868846,0.00000625245,0.0004043978],"genre_scores_gemma":[0.9988948,0.0001068919,0.0001536728,0.000004039663,0.000001509489,0.000001907685,0.00008511759,0.000003316256,0.0007488402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003426746,"threshold_uncertainty_score":0.006813645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2014913793","doi":"10.4236/eng.2011.32020","title":"Rock Breakage Using Expansive Cement","year":2011,"lang":"en","type":"article","venue":"Engineering","topic":"Concrete and Cement 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":"McGill University","funders":"","keywords":"Shrinkage; Expansive; Cement; Portland cement; Sulfate; Breakage; Materials science; Curing (chemistry); Geotechnical engineering; Composite material; Forensic engineering; Geology; Metallurgy; Engineering; Compressive strength","authors":[{"name":"Amr El Dessouki","is_ca":true},{"name":"Hani S. Mitri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03466233881201815,"gpt":0.223580433603666,"spread":0.1889180947916479,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002360158,0.0004614826,0.0004111171,0.0006022023,0.0001789559,0.0002697863,0.0003326604,0.0003013826,0.002715809],"category_scores_gemma":[0.0004077387,0.0001865215,0.0003973737,0.0002474581,0.0002609387,0.0005405933,0.0004448975,0.0005584179,0.0003634806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494675,"about_ca_system_score_gemma":0.0001094586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006113534,"about_ca_topic_score_gemma":0.001335814,"domain_scores_codex":[0.9997274,0.00002951262,0.00001526426,0.00004046936,0.0001319115,0.00005541136],"domain_scores_gemma":[0.999662,0.0001029474,0.0001136813,0.00003818144,0.00002715398,0.00005596637],"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":[0.0002662932,0.0000996364,0.0005294619,0.0001650659,0.00001816227,0.0001448087,0.00004488168,0.0005870878,0.9885689,0.0001083776,0.00004383523,0.009423395],"study_design_scores_gemma":[0.00002820408,0.001611588,0.004075025,0.00001413171,0.00003425202,0.0001847331,0.00002239075,0.00198097,0.9903367,0.00002992276,0.001673367,0.000008797108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896702,0.00306848,0.00467631,0.00003527283,0.00002796331,0.00004063694,0.0000479839,0.0001049655,0.002328196],"genre_scores_gemma":[0.9950643,0.0007897588,0.001751996,0.00001153057,0.00001022563,0.000008467026,0.00004391469,0.00001661833,0.002303144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002715809,"threshold_uncertainty_score":0.009085238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3206839704","doi":"10.1016/j.eng.2021.04.029","title":"Hydrological Response to Climate and Land Use Changes in the Dry–Warm Valley of the Upper Yangtze River","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Yangtze river; Dry land; Hydrology (agriculture); Environmental science; Climate change; Dry climate; Climatology; Water resource management; Physical geography; Geography; Geology; China; Oceanography; Agronomy; Geotechnical engineering; Archaeology; Biology","authors":[{"name":"Congcong Li","is_ca":true},{"name":"Yanpeng Cai","is_ca":false},{"name":"Zhong Li","is_ca":true},{"name":"Qianqian Zhang","is_ca":true},{"name":"Lian Sun","is_ca":false},{"name":"Xinyi Li","is_ca":true},{"name":"Pengxiao Zhou","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01033823558245618,"gpt":0.1982394313020428,"spread":0.1879011957195867,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312671,0.0002547231,0.0002194969,0.0004825012,0.0003562582,0.0005146678,0.0002526406,0.0003810158,0.0005289894],"category_scores_gemma":[0.0007355032,0.0001971822,0.0003430993,0.0005970044,0.0003308049,0.0004271098,0.0004417849,0.0003091384,0.0000418783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006246471,"about_ca_system_score_gemma":0.000530852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168272,"about_ca_topic_score_gemma":0.01548983,"domain_scores_codex":[0.9998649,0.00004181234,0.000008221145,0.00003698191,0.00001903531,0.00002898074],"domain_scores_gemma":[0.9998549,0.00004232428,0.00002484993,0.00001598371,0.0000333659,0.00002861858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002421016,0.0002217881,0.6563052,0.00007786171,0.0003199595,0.0007563141,0.0008116371,0.2932026,0.02424697,0.001057389,0.001134005,0.02162424],"study_design_scores_gemma":[0.0000568242,0.00008405372,0.7086254,0.000009453257,0.00005871035,0.00008924028,0.0004925798,0.2875464,0.001865163,0.0004738729,0.0006513976,0.00004699642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994664,0.00001406924,0.0002287223,0.00003589674,0.000001990983,0.000003100349,0.00006607441,0.00001687777,0.0001668874],"genre_scores_gemma":[0.9997018,0.00001164086,0.0001087156,0.000006060274,0.000001383644,0.000005737134,0.0001106315,0.00000192529,0.00005194055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168272,"threshold_uncertainty_score":0.03345853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408963825","doi":"10.1016/j.eng.2025.02.021","title":"Corrosion and Material Degradation in Geological CO2 Storage: A Critical Review","year":2025,"lang":"en","type":"review","venue":"Engineering","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Corrosion; Degradation (telecommunications); Metallurgy; Environmental science; Forensic engineering; Materials science; Engineering; Electrical engineering","authors":[{"name":"Xin Fan","is_ca":true},{"name":"Qing Hu","is_ca":true},{"name":"Y. Frank Cheng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02517503400185334,"gpt":0.3072478175112611,"spread":0.2820727835094077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006899603,0.00135806,0.001577038,0.002812038,0.0003685487,0.001338869,0.0007848551,0.001233407,0.003535315],"category_scores_gemma":[0.00100331,0.000501839,0.0009208145,0.003580574,0.0004448907,0.001785396,0.000672193,0.001054455,0.0011586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005487085,"about_ca_system_score_gemma":0.002037353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768675,"about_ca_topic_score_gemma":0.002449956,"domain_scores_codex":[0.999725,0.00004123381,0.00005155662,0.00005880062,0.00009583849,0.00002746128],"domain_scores_gemma":[0.9991999,0.000382913,0.0001413094,0.00001756146,0.0002212844,0.00003698291],"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":[0.0000969138,0.0001766148,0.0004247352,0.0928134,0.0002417955,0.0003473284,0.0002227202,0.001492415,0.004415951,0.004499809,0.02694178,0.8683265],"study_design_scores_gemma":[0.00001119757,0.0002773726,0.001506611,0.01051878,0.0004434073,0.0009053746,0.0001998762,0.000327604,0.001659184,0.001605386,0.9824897,0.00005540673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003646763,0.9982784,0.0002024503,0.000188255,0.0001773801,0.000008153596,0.00002980727,0.000009017775,0.0007418099],"genre_scores_gemma":[0.001110286,0.9981729,0.0001956155,0.00008111914,0.0001028343,0.000007187762,0.0000260989,0.000001544114,0.0003024826],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003535315,"threshold_uncertainty_score":0.01182675,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2039687562","doi":"10.4236/eng.2013.510b057","title":"Characterization of Pathologic Cries of Newborns Based on Fundamental Frequency Estimation","year":2013,"lang":"en","type":"article","venue":"Engineering","topic":"Infant Health and Development","field":"Health Professions","cited_by":13,"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":"Characterization (materials science); Estimation; Speech recognition; Computer science; Physics; Engineering; Optics","authors":[{"name":"Yasmina Kheddache","is_ca":true},{"name":"Chakib Tadj","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02115003939527568,"gpt":0.3130820730881976,"spread":0.291932033692922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002741722,0.000200626,0.0002115987,0.001495371,0.0001279856,0.0002604679,0.0001395816,0.0002844686,0.0007881299],"category_scores_gemma":[0.00119402,0.00008935522,0.0001277671,0.0002876258,0.0002058119,0.0002069487,0.0002083421,0.0001470158,0.0001971322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008587944,"about_ca_system_score_gemma":0.0001312123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009182859,"about_ca_topic_score_gemma":0.0006582826,"domain_scores_codex":[0.9998522,0.00003491426,0.00001417562,0.00002800657,0.00005043058,0.00002030021],"domain_scores_gemma":[0.9995863,0.0001843387,0.00007033778,0.00002468398,0.00009515558,0.00003918678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005654091,0.00004219716,0.08749747,0.0002424096,0.00003384976,0.0008612334,0.0007705215,0.001669904,0.737879,0.0006190632,0.0003078872,0.1695109],"study_design_scores_gemma":[0.00001515326,0.0006393423,0.8127486,0.00007180302,0.00008769094,0.007348023,0.001349759,0.03144306,0.1422424,0.0008405767,0.003145349,0.00006828915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9330336,0.001191909,0.06340551,0.00005436936,0.00002679613,0.00003777656,0.0002321121,0.0001873577,0.001830448],"genre_scores_gemma":[0.9766756,0.0004737566,0.02225672,0.0000116006,0.00001704071,0.00001717634,0.0001262336,0.00001707293,0.0004048711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001495371,"threshold_uncertainty_score":0.002636552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409838914","doi":"10.1016/j.eng.2025.04.014","title":"Innovative Food Processing Technologies Promoting Efficient Utilization of Nutrients in Staple Food Crops","year":2025,"lang":"en","type":"article","venue":"Engineering","topic":"Food composition and properties","field":"Nursing","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 Alberta","funders":"National Key Research and Development Program of China; Fujian Provincial Department of Science and Technology","keywords":"Staple food; Nutrient; Food processing; Biotechnology; Agricultural engineering; Business; Environmental science; Food science; Agriculture; Engineering; Biology","authors":[{"name":"Yang Yuan","is_ca":false},{"name":"Xinyao Wei","is_ca":false},{"name":"Yuhong Mao","is_ca":false},{"name":"Yuxue Zheng","is_ca":false},{"name":"Ni He","is_ca":false},{"name":"Yuan Guo","is_ca":false},{"name":"Wu Ming","is_ca":false},{"name":"Joseph Dumpler","is_ca":false},{"name":"Bing Li","is_ca":false},{"name":"Xu Chen","is_ca":false},{"name":"Jianping Wu","is_ca":true},{"name":"Yongqi Tian","is_ca":false},{"name":"Jeyamkondan Subbiah","is_ca":false},{"name":"Shaoyun Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01711582089226686,"gpt":0.2462078585146577,"spread":0.2290920376223908,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003392971,0.0004574533,0.0003289695,0.000906716,0.0002556925,0.0006162925,0.0002933877,0.0005571239,0.001355306],"category_scores_gemma":[0.0002745876,0.0002322066,0.0005001056,0.0006709977,0.0002487022,0.001037037,0.0004719842,0.0007952815,0.0004503714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814447,"about_ca_system_score_gemma":0.0003364371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000270563,"about_ca_topic_score_gemma":0.0006579778,"domain_scores_codex":[0.9998288,0.00002481385,0.00001271316,0.00003638614,0.000069571,0.00002763111],"domain_scores_gemma":[0.9999148,0.00002071232,0.00002880798,0.000005314171,0.00002274003,0.00000755799],"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":[0.00009820879,0.00009460522,0.000741006,0.004012117,0.00004983534,0.0003725526,0.0001211041,0.001227206,0.8808436,0.005925064,0.0007282951,0.1057864],"study_design_scores_gemma":[0.0000414474,0.001159358,0.007276251,0.0008356919,0.000196139,0.001689299,0.0003591261,0.004992384,0.8084721,0.008122628,0.1667817,0.00007383663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4667801,0.3139975,0.1684409,0.002652943,0.001127568,0.0003664981,0.0008049376,0.0004506706,0.0453788],"genre_scores_gemma":[0.6239096,0.2300183,0.133746,0.001017428,0.0003927592,0.0002763643,0.0004633816,0.00009214797,0.01008398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001355306,"threshold_uncertainty_score":0.004534006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402909764","doi":"10.1016/j.eng.2024.09.014","title":"The Low-Attenuation Endfire Leaky-Wave State on an Optically Transparent Lossy Film","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Photonic Crystals and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; Fuzhou University; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Lossy compression; Attenuation; Optics; State (computer science); Materials science; Physics; Computer science; Algorithm; Artificial intelligence","authors":[{"name":"Ziheng Zhou","is_ca":false},{"name":"Yongjian Zhang","is_ca":false},{"name":"Yilin Zheng","is_ca":false},{"name":"Ke Chen","is_ca":false},{"name":"Yueming Gao","is_ca":false},{"name":"Yuehe Ge","is_ca":false},{"name":"Yue Li","is_ca":false},{"name":"Yijun Feng","is_ca":false},{"name":"Zhizhang Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0123221318326319,"gpt":0.2396233084568312,"spread":0.2273011766241993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009538527,0.000196484,0.00009975018,0.00008368464,0.0001103981,0.0002707707,0.0001561474,0.0002026116,0.0006675377],"category_scores_gemma":[0.0002010182,0.0001026182,0.00009236272,0.0000955647,0.0002953742,0.0002754064,0.0001606857,0.0003557419,0.000188812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854325,"about_ca_system_score_gemma":0.00008912358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003184134,"about_ca_topic_score_gemma":0.0005434145,"domain_scores_codex":[0.9999421,0.0000054778,0.000002574543,0.00001430912,0.00002310092,0.00001234563],"domain_scores_gemma":[0.9998593,0.00004022787,0.00005022988,0.00001964098,0.00002030897,0.00001036555],"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":[0.00002612832,0.000004369726,0.0001295094,0.00003267916,0.000002103768,0.00006626311,0.00005070496,0.0001182947,0.9976592,0.000370106,0.00006910674,0.001471508],"study_design_scores_gemma":[0.000003727101,0.00006133279,0.0006620045,0.000004029949,0.000004065413,0.00005619937,0.00002511436,0.001157962,0.996951,0.00005215234,0.001018069,0.000004383982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915991,0.0002145623,0.005424112,0.00005347102,0.00001962764,0.000006263542,0.00005461724,0.00008622409,0.002542044],"genre_scores_gemma":[0.9967371,0.0001527714,0.001994919,0.00001567487,0.000003922344,0.000004453788,0.00002997586,0.0000190549,0.001041996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006675377,"threshold_uncertainty_score":0.002233148,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385841629","doi":"10.1016/j.eng.2023.03.021","title":"Intelligent Intercommunicating Multiscale Engineering: The Engineering of the Future","year":2023,"lang":"en","type":"article","venue":"Engineering","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Science and Technology Department of Zhejiang Province; Zhejiang Provincial Government Scholarship","keywords":"Computer science; Artificial intelligence; Systems engineering; Engineering","authors":[{"name":"Yue Yuan","is_ca":true},{"name":"Jesse Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008273291122281968,"gpt":0.2271458498791707,"spread":0.2188725587568887,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783272,0.0004759337,0.0008346468,0.0005037143,0.001056639,0.00362156,0.001389236,0.002691366,0.005689747],"category_scores_gemma":[0.003119903,0.0004443291,0.0003751266,0.0004010262,0.004197217,0.007909577,0.002886438,0.002647742,0.00100339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001169684,"about_ca_system_score_gemma":0.001116626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005819474,"about_ca_topic_score_gemma":0.0008500678,"domain_scores_codex":[0.9992883,0.000214727,0.00001783371,0.0001209367,0.0002379785,0.0001202508],"domain_scores_gemma":[0.9982729,0.0006808031,0.0001359191,0.0004229467,0.0002359078,0.0002515684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002623238,0.00005203417,0.0002983016,0.0001278899,0.00001886117,0.00005090671,0.0001415986,0.01026213,0.003173233,0.954949,0.005149345,0.02575051],"study_design_scores_gemma":[0.00001020628,0.00002519246,0.0002484603,0.00005906179,0.000007679955,0.00004583036,0.0001588831,0.07136432,0.00139836,0.8970806,0.0295784,0.00002291355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07739434,0.03246161,0.680532,0.05788831,0.002715352,0.00008872238,0.0002145652,0.001073917,0.1476312],"genre_scores_gemma":[0.8457736,0.01123021,0.1252364,0.001898242,0.0009448327,0.0001193375,0.0001174945,0.000212921,0.01446696],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005689747,"threshold_uncertainty_score":0.01903409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2768506067","doi":"10.1016/j.eng.2017.03.007","title":"Molecular Structure of Feeds in Relation to Nutrient Utilization and Availability in Animals: A Novel Approach","year":2017,"lang":"en","type":"article","venue":"Engineering","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Synchrotron radiation; Synchrotron; Nanotechnology; Bioanalysis; Biochemical engineering; Computer science; Materials science; Physics; Optics; Engineering","authors":[{"name":"Peiqiang Yu","is_ca":true},{"name":"Luciana L. Prates","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04449842624633737,"gpt":0.2470527327907886,"spread":0.2025543065444512,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289963,0.0002151473,0.0002267154,0.0005873924,0.0003118719,0.0004475259,0.0004307377,0.0005496916,0.0009155296],"category_scores_gemma":[0.0001424888,0.0002098967,0.0003095619,0.0003932858,0.0004556616,0.0008088181,0.0003278233,0.0005701018,0.0002225816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004928056,"about_ca_system_score_gemma":0.0002836391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006232169,"about_ca_topic_score_gemma":0.001005305,"domain_scores_codex":[0.999915,0.00001475921,0.00000376906,0.00003132611,0.00002641951,0.000008592117],"domain_scores_gemma":[0.9999377,0.00001336588,0.00001937528,0.000008351917,0.00001450259,0.00000661748],"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":[0.00006686609,0.00003858481,0.001017205,0.0002627543,0.00002560787,0.0002210654,0.0001213835,0.0009950794,0.9650212,0.01191699,0.0002434508,0.02006977],"study_design_scores_gemma":[0.0000338627,0.0009769582,0.01526213,0.0000998805,0.0001691537,0.002220096,0.0005889811,0.02988766,0.8504037,0.02132607,0.07891672,0.0001147977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6445464,0.0664096,0.2598782,0.002730947,0.0005608274,0.0001058565,0.0007378943,0.0003570571,0.02467333],"genre_scores_gemma":[0.8569005,0.03014284,0.1015598,0.0006449974,0.0002238117,0.00009190069,0.0003596418,0.00004723367,0.01002909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009155296,"threshold_uncertainty_score":0.003575623,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405632364","doi":"10.1016/j.eng.2024.12.010","title":"The Overcoring Technique for Precise Measurement of In Situ Rock Stress at Great Depths: Challenges and Solutions","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Geology; In situ; Stress (linguistics); Mining engineering; Seismology; Geotechnical engineering; Geography; Meteorology","authors":[{"name":"Peng Li","is_ca":false},{"name":"Yan Liu","is_ca":false},{"name":"Meifeng Cai","is_ca":false},{"name":"Shengjun Miao","is_ca":false},{"name":"Yuan Li","is_ca":false},{"name":"Yunjin Hu","is_ca":false},{"name":"Mostafa Gorjian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03882491851620511,"gpt":0.2141139598912539,"spread":0.1752890413750487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001719356,0.0009453699,0.001036047,0.001011389,0.0006687629,0.001339594,0.001672828,0.001603784,0.003299774],"category_scores_gemma":[0.003446385,0.0004789736,0.0002396213,0.001858208,0.001133252,0.002108845,0.001625911,0.001712899,0.001101645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004679541,"about_ca_system_score_gemma":0.001340536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0045867,"about_ca_topic_score_gemma":0.01406053,"domain_scores_codex":[0.9986571,0.0002021419,0.00005925893,0.0003079499,0.000638259,0.0001353202],"domain_scores_gemma":[0.9954147,0.001390619,0.0005023255,0.0008831513,0.001549321,0.0002597689],"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":[0.0002091054,0.00009447068,0.02761377,0.0008986528,0.00006765875,0.0002848615,0.0006086098,0.001102318,0.6896533,0.006257055,0.005778229,0.267432],"study_design_scores_gemma":[0.0001231385,0.001219259,0.1066845,0.0007170815,0.0003006773,0.004497625,0.002816756,0.05551638,0.6088002,0.02877934,0.1901046,0.0004404811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1870701,0.01142536,0.7685956,0.005890062,0.002199637,0.0002972544,0.002050527,0.002004709,0.02046675],"genre_scores_gemma":[0.4838454,0.009703038,0.4902957,0.003407429,0.0009516297,0.0003338875,0.0009307708,0.0005992433,0.009932956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0045867,"threshold_uncertainty_score":0.01103884,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3040281984","doi":"10.1016/j.eng.2019.12.019","title":"Deciphering the Origins of P1-Induced Power Losses in Cu(In Ga1–)Se2 (CIGS) Modules Through Hyperspectral Luminescence","year":2020,"lang":"en","type":"article","venue":"Engineering","topic":"Chalcogenide Semiconductor Thin Films","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Photon Etc (Canada)","funders":"Deutsche Forschungsgemeinschaft","keywords":"Copper indium gallium selenide solar cells; Materials science; Optoelectronics; Deposition (geology); Laser ablation; Laser; Enhanced Data Rates for GSM Evolution; Luminescence; Nanotechnology; Optics; Computer science; Solar cell; Geology; Physics","authors":[{"name":"César Omar Ramírez Quiroz","is_ca":false},{"name":"Laura‐Isabelle Dion‐Bertrand","is_ca":true},{"name":"Christoph J. Brabec","is_ca":false},{"name":"J. Müller","is_ca":false},{"name":"K. Orgassa","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02388561797965055,"gpt":0.2213335860609378,"spread":0.1974479680812872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344019,0.0003187669,0.0001944396,0.0002832478,0.0002003202,0.0004282875,0.0003168004,0.0002782243,0.0007787436],"category_scores_gemma":[0.0002375562,0.0001749938,0.0001295088,0.0001960366,0.0003813063,0.0004624074,0.0002893854,0.0003731871,0.000173543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003345493,"about_ca_system_score_gemma":0.0001294625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006774434,"about_ca_topic_score_gemma":0.0009321265,"domain_scores_codex":[0.9999036,0.00000727349,0.00000279574,0.00002511513,0.000034309,0.00002703108],"domain_scores_gemma":[0.9998451,0.00004219989,0.00005882086,0.00001980876,0.00002483017,0.000009129109],"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":[0.00004906804,0.00001240567,0.001876737,0.00003651581,0.000007148709,0.0001328053,0.00008707,0.000468987,0.9952057,0.0001281534,0.00003316407,0.001962146],"study_design_scores_gemma":[0.000001568648,0.00003543984,0.01091972,0.000002545121,0.000006008507,0.0001130386,0.00006515064,0.003976378,0.9844955,0.00005565635,0.0003253071,0.000003826991],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956182,0.00022369,0.00335345,0.00003053433,0.000002814032,0.000007665493,0.00005807073,0.00005699469,0.0006485011],"genre_scores_gemma":[0.9972506,0.0001680354,0.001927225,0.00001293134,0.000003153352,0.00001003136,0.00005990277,0.0000246841,0.000543358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007787436,"threshold_uncertainty_score":0.00260514,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409472958","doi":"10.1016/j.eng.2025.04.002","title":"High-Temperature Stable Dispersed Particle Gel for Enhanced Profile Control in Carbon Capture, Utilization, and Storage (CCUS) Applications","year":2025,"lang":"en","type":"article","venue":"Engineering","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":6,"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":"China Scholarship Council; China National Petroleum Corporation","keywords":"Particle (ecology); Carbon fibers; Control (management); Environmental science; Process engineering; Materials science; Chemical engineering; Nanotechnology; Nuclear engineering; Computer science; Engineering; Composite material; Artificial intelligence; Geology","authors":[{"name":"Lin Du","is_ca":true},{"name":"Yao‐Yu Xiao","is_ca":true},{"name":"Zhi‐Chao Jiang","is_ca":true},{"name":"Hongbo Zeng","is_ca":true},{"name":"Huazhou Li","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00466089085014758,"gpt":0.2091955421711366,"spread":0.204534651320989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001418822,0.0003227662,0.000162746,0.0002088757,0.00009587395,0.0002060369,0.0001247082,0.0003218152,0.0005783059],"category_scores_gemma":[0.0001483961,0.0001269156,0.0001675544,0.0001030592,0.0001299069,0.0002015765,0.000162333,0.0003305798,0.0002159787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102067,"about_ca_system_score_gemma":0.0001369508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002429628,"about_ca_topic_score_gemma":0.0007921883,"domain_scores_codex":[0.999905,0.00001022578,0.000008787375,0.0000244909,0.00003780285,0.00001364569],"domain_scores_gemma":[0.9998735,0.00002539561,0.00005586446,0.000007137426,0.00002147834,0.00001652907],"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":[0.000007225895,0.000003534898,0.00001670918,0.00001685585,0.000001227652,0.00001102944,0.00000411965,0.00003529921,0.9992029,0.0000145211,0.00001275019,0.000673782],"study_design_scores_gemma":[0.000002506106,0.00007959312,0.0003197326,0.00000277201,0.000004665161,0.00004086021,0.000004023458,0.0005910632,0.9981693,0.000008596303,0.0007737839,0.000003041462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555835,0.004700513,0.03689885,0.0002027414,0.000122785,0.00006775169,0.0002500976,0.0003958762,0.001777919],"genre_scores_gemma":[0.9733099,0.00140653,0.02268493,0.0001103586,0.0000233131,0.00005524299,0.0001618731,0.00005502689,0.002192792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005783059,"threshold_uncertainty_score":0.001934648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411848355","doi":"10.1016/j.eng.2025.06.027","title":"The Agentic-AI Core: An AI-Empowered, Mission-Oriented Core Network for Next-Generation Mobile Telecommunications","year":2025,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Core (optical fiber); Telecommunications; Core network; Computer science; Business","authors":[{"name":"Li Xu","is_ca":true},{"name":"Weisen Shi","is_ca":true},{"name":"Hang Zhang","is_ca":true},{"name":"Cheng-Hui Peng","is_ca":false},{"name":"Shizhou Wu","is_ca":false},{"name":"Wen Tong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03655887441702531,"gpt":0.2998420097028957,"spread":0.2632831352858703,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006957869,0.0003523511,0.0001742121,0.0003339235,0.0005389336,0.001493007,0.001050339,0.0006767971,0.002662696],"category_scores_gemma":[0.001014565,0.0001687068,0.0002425464,0.0002791982,0.0005200471,0.00196863,0.001690851,0.001353287,0.001064806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006234008,"about_ca_system_score_gemma":0.001463638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00161408,"about_ca_topic_score_gemma":0.002804263,"domain_scores_codex":[0.9996817,0.00008209287,0.00001991978,0.00005085356,0.0001141106,0.00005125095],"domain_scores_gemma":[0.9994341,0.0001061563,0.00005676005,0.0001035321,0.0001696201,0.0001298883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000584555,0.0004038446,0.003183871,0.0006400707,0.0001016908,0.000706443,0.001275471,0.05485684,0.07343466,0.5016727,0.03883914,0.3243006],"study_design_scores_gemma":[0.00008254962,0.000473423,0.001131569,0.0001578658,0.00008276151,0.0007517064,0.0003601298,0.5577018,0.03126416,0.088942,0.318973,0.0000790651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03162047,0.0007623347,0.9081413,0.001556865,0.0003897498,0.0003306956,0.0001568389,0.003119204,0.05392254],"genre_scores_gemma":[0.4866196,0.001156097,0.4854982,0.001254995,0.0001630008,0.0003524011,0.0005159806,0.0002864334,0.02415326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002662696,"threshold_uncertainty_score":0.008907557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405283472","doi":"10.1016/j.eng.2024.10.021","title":"LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Benchmark (surveying); Open source; Computer science; Energy management; Energy (signal processing); Systems engineering; Engineering; Automotive engineering; Geology; Operating system; Physics","authors":[{"name":"Yong Wang","is_ca":false},{"name":"Hongwen He","is_ca":false},{"name":"Yuankai Wu","is_ca":false},{"name":"Pei Wang","is_ca":false},{"name":"Haoyu Wang","is_ca":false},{"name":"Renzong Lian","is_ca":false},{"name":"Jingda Wu","is_ca":false},{"name":"Qin Li","is_ca":false},{"name":"Xiangfei Meng","is_ca":false},{"name":"Yingjuan Tang","is_ca":false},{"name":"Fengchun Sun","is_ca":false},{"name":"Amir Khajepour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006573402790559575,"gpt":0.2100230740934693,"spread":0.2034496713029098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00287364,0.002381997,0.0009168958,0.002216292,0.0005510715,0.001657988,0.00393883,0.001745323,0.005430115],"category_scores_gemma":[0.009513778,0.0005643371,0.001023265,0.001910911,0.0007968552,0.002390471,0.002515563,0.002434751,0.00283867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001592364,"about_ca_system_score_gemma":0.003573915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01605096,"about_ca_topic_score_gemma":0.01614634,"domain_scores_codex":[0.9982508,0.0004587295,0.0001798137,0.0002969255,0.0006090925,0.0002046438],"domain_scores_gemma":[0.9977913,0.000955752,0.0001414605,0.0004027611,0.0005783637,0.0001304927],"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":[0.0004429208,0.0006941521,0.006111249,0.001358399,0.0001839914,0.0001574409,0.00006440561,0.7461535,0.002276605,0.01730831,0.09236862,0.1328804],"study_design_scores_gemma":[0.0002015169,0.0002229211,0.001389284,0.0001190023,0.00003003196,0.00007353014,0.00004619188,0.9514711,0.005603158,0.0103119,0.03048747,0.00004391749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1042207,0.005519896,0.6618181,0.002540709,0.001158615,0.001777617,0.0508253,0.1295163,0.04262268],"genre_scores_gemma":[0.377427,0.002291553,0.4747409,0.0009505062,0.0001868139,0.002605003,0.1264595,0.008125078,0.007213559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01605096,"threshold_uncertainty_score":0.03191507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411022830","doi":"10.1016/j.eng.2025.03.036","title":"Progress of Machine Learning in Molecular Crystal Design and Crystallization Development","year":2025,"lang":"en","type":"article","venue":"Engineering","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"China Scholarship Council; Key Technology Research and Development Program of Shandong; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Crystallization; Development (topology); Crystal (programming language); Materials science; Computer science; Nanotechnology; Engineering; Chemical engineering; Mathematics; Programming language","authors":[{"name":"Shengzhe Jia","is_ca":false},{"name":"Yiming Ma","is_ca":false},{"name":"Yuechao Cao","is_ca":false},{"name":"Zhenguo Gao","is_ca":false},{"name":"Sohrab Rohani","is_ca":true},{"name":"Junbo Gong","is_ca":false},{"name":"Jingkang Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005111975102496771,"gpt":0.2194083677983597,"spread":0.2142963926958629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005050513,0.001309691,0.001639644,0.001915897,0.0004669646,0.00257712,0.001557295,0.001585588,0.001673639],"category_scores_gemma":[0.007450887,0.0006935393,0.001270478,0.002561106,0.001720483,0.003945336,0.001488798,0.004263687,0.0011304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180406,"about_ca_system_score_gemma":0.001992918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001558517,"about_ca_topic_score_gemma":0.0009264872,"domain_scores_codex":[0.9979091,0.0007046163,0.0001486027,0.0005063394,0.0006329617,0.00009836228],"domain_scores_gemma":[0.9958649,0.002644243,0.0002755056,0.0003333759,0.0007739883,0.0001079491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001368317,0.0002170564,0.001798029,0.003433835,0.0001963211,0.0001057149,0.0002269992,0.1126709,0.00803908,0.1390678,0.008770649,0.7253367],"study_design_scores_gemma":[0.00006350911,0.000340983,0.001275706,0.0007551917,0.0001213074,0.000229503,0.0001065066,0.6020762,0.03131093,0.1710384,0.1925062,0.0001756214],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01019811,0.1801063,0.7917956,0.004111852,0.0006531359,0.0001293096,0.000205407,0.0007037551,0.01209673],"genre_scores_gemma":[0.163551,0.2861988,0.5393983,0.001494531,0.002402955,0.000465398,0.000863445,0.0003483587,0.005277248],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005050513,"threshold_uncertainty_score":0.02670997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4381713085","doi":"10.1016/j.eng.2023.04.005","title":"Synthesized All-Pass Waveguide for Ultrafast Electronics","year":2023,"lang":"en","type":"article","venue":"Engineering","topic":"Terahertz technology and applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ultrashort pulse; Picosecond; Waveguide; Electronics; Materials science; Optoelectronics; Terahertz radiation; Nanosecond; Optics; Electrical engineering; Physics; Engineering; Laser","authors":[{"name":"Desong Wang","is_ca":true},{"name":"Ke Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009226481650499932,"gpt":0.2153745085442669,"spread":0.206148026893767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001271605,0.0004449634,0.0001361178,0.0001681763,0.0001640931,0.0001943712,0.0001952511,0.0003239568,0.0009117415],"category_scores_gemma":[0.0001344555,0.0001560508,0.0001382058,0.0001577624,0.0001570539,0.0002680999,0.0001459959,0.0003925983,0.0003355614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247479,"about_ca_system_score_gemma":0.0002774151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003092203,"about_ca_topic_score_gemma":0.001008353,"domain_scores_codex":[0.9999427,0.000004785089,0.000003873258,0.00001310851,0.00002284816,0.00001278827],"domain_scores_gemma":[0.9999379,0.000009553158,0.00001901257,0.000006586146,0.000019322,0.000007653693],"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":[0.000009703338,0.00001311696,0.00005960483,0.00006505942,0.000002110558,0.00003852497,0.00002796848,0.0002558224,0.9971409,0.0008406626,0.00008018556,0.001466351],"study_design_scores_gemma":[0.000008425521,0.00008985885,0.0002681871,0.000006715925,0.000004489443,0.00005677264,0.00001775191,0.002212585,0.9936904,0.0001328303,0.003506702,0.000005323663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143894,0.001260659,0.07447741,0.000202781,0.0001208825,0.0001761231,0.0006401621,0.0003351402,0.008397344],"genre_scores_gemma":[0.8819155,0.001421616,0.1089475,0.00007494474,0.00001454361,0.0002165132,0.0005267626,0.00008167436,0.00680099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009117415,"threshold_uncertainty_score":0.003050089,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409670856","doi":"10.1016/j.eng.2025.04.009","title":"A Novel Thermo-Salinity-Responsive Nanographite System for Enhanced Oil Recovery in Deep Reservoirs","year":2025,"lang":"en","type":"article","venue":"Engineering","topic":"Enhanced Oil Recovery Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Fundamental Funds for Humanities and Social Sciences of Beijing Jiaotong University; National Natural Science Foundation of China","keywords":"Petroleum engineering; Salinity; Enhanced oil recovery; Environmental science; Chemical engineering; Geology; Engineering; Oceanography","authors":[{"name":"Caili Dai","is_ca":false},{"name":"Wanlei Geng","is_ca":false},{"name":"Jiaming Li","is_ca":false},{"name":"Guang Zhao","is_ca":false},{"name":"Bin Yuan","is_ca":false},{"name":"Yang Zhao","is_ca":false},{"name":"Tayfun Babadagli","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006002583031496825,"gpt":0.2193827379236601,"spread":0.2133801548921633,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004349264,0.0002187771,0.0001213981,0.00009092301,0.00008910905,0.0001673359,0.0001804582,0.0002534887,0.000428794],"category_scores_gemma":[0.00005477298,0.00009062818,0.0001115046,0.00008405221,0.0001221483,0.0002746167,0.0002411199,0.0002154986,0.0001631421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002216468,"about_ca_system_score_gemma":0.0001494261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008626629,"about_ca_topic_score_gemma":0.00259209,"domain_scores_codex":[0.9999663,0.000002384127,0.000001599678,0.000009765759,0.00001038109,0.000009707585],"domain_scores_gemma":[0.9999795,0.000002891624,0.000006163194,0.00000124573,0.000003830918,0.00000632838],"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":[0.00001508424,0.00000777273,0.00005330214,0.00002436812,0.000001782704,0.00001622435,0.00000660533,0.0001636984,0.9982466,0.00007912051,0.00003595932,0.001349475],"study_design_scores_gemma":[0.000008933578,0.00007863524,0.0004788755,0.000002568315,0.000007627133,0.00003153409,0.0000113733,0.003515513,0.9929495,0.0000302113,0.002876102,0.000009253747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834873,0.0008601847,0.01339115,0.0001000398,0.00003779521,0.00003196919,0.0001414602,0.0002044636,0.00174555],"genre_scores_gemma":[0.9923493,0.0003262484,0.005448421,0.00004539987,0.0000052734,0.00001729731,0.00009747501,0.00001961501,0.001690911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008626629,"threshold_uncertainty_score":0.001715302,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2604244932","doi":"10.4236/eng.2017.93016","title":"Impact of Reservoir Properties on the Production of the Mannville Coal Measures, South Central Alberta from a Numerical Modelling Parametric Analysis","year":2017,"lang":"en","type":"article","venue":"Engineering","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of British Columbia","funders":"","keywords":"Coal; Geology; Lithology; Cretaceous; Coal mining; Coal basin; Structural basin; Stratigraphy; Petroleum engineering; Sedimentary rock; Mining engineering; Coal measures; Ecological succession; Geochemistry; Paleontology; Archaeology; Geography","authors":[{"name":"A. M. M. Bustin","is_ca":true},{"name":"R.M. Bustin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03817531316773889,"gpt":0.2079662876755664,"spread":0.1697909745078275,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003464539,0.000357802,0.0002583306,0.0005585414,0.0008044691,0.00137487,0.0007819564,0.0005835345,0.001765177],"category_scores_gemma":[0.001574248,0.0003079426,0.0004597724,0.0007557778,0.001042626,0.000355996,0.0005244026,0.0003722958,0.00009788645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006269614,"about_ca_system_score_gemma":0.003626715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6400499,"about_ca_topic_score_gemma":0.6765211,"domain_scores_codex":[0.9997995,0.00002545321,0.00001011372,0.00002738016,0.00007974996,0.00005780294],"domain_scores_gemma":[0.9994648,0.0002682221,0.00005493945,0.00003855569,0.0001283166,0.00004512869],"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":[0.0001105585,0.00005205004,0.04108791,0.0000238182,0.00002456635,0.0002340775,0.0001000033,0.950562,0.003349074,0.0009667448,0.0001374753,0.003351696],"study_design_scores_gemma":[0.00003772438,0.0001276605,0.08135431,0.00001289217,0.00003986495,0.00007610192,0.0005351595,0.9119856,0.00454338,0.0004565848,0.0007841674,0.0000464964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964845,0.00001790033,0.0004586773,0.0000350334,0.00000105922,0.0000075948,0.0002113083,0.00001580584,0.002768093],"genre_scores_gemma":[0.9992132,0.0000180492,0.0002629662,0.000003510949,2.660065e-7,0.000003777314,0.0001010765,0.000003997122,0.0003932555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3599501,"threshold_uncertainty_score":0.7241399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913268684","doi":"10.4236/eng.2019.112008","title":"Increasing the Safety of People Activity in Aggressive Potential Locations, Analyzed through the Probability Theory, Modeling/Simulation and Application in Underground Coal Mining","year":2019,"lang":"en","type":"article","venue":"Engineering","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Petro-Canada","funders":"","keywords":"Coal mining; Hazard; SCADA; Probabilistic logic; Explosive material; Work (physics); Engineering; Atmosphere (unit); Computer security; Coal; Computer science; Risk analysis (engineering); Artificial intelligence; Waste management","authors":[{"name":"Emil Pop","is_ca":true},{"name":"Gabriel-Ioan Ilcea","is_ca":true},{"name":"Ionut-Alin Popa","is_ca":true},{"name":"Lorand Bogdanffy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007806751446191551,"gpt":0.2248071167208399,"spread":0.2170003652746483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004015164,0.0003494394,0.0002048791,0.0005156051,0.000278401,0.0004910991,0.0003820928,0.000395923,0.0009973177],"category_scores_gemma":[0.001068602,0.0001422252,0.00038708,0.0004326158,0.0004335399,0.0006225431,0.0003966778,0.0002910824,0.0001101198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005504502,"about_ca_system_score_gemma":0.0006744987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00562695,"about_ca_topic_score_gemma":0.00264128,"domain_scores_codex":[0.9996988,0.00008494695,0.00001379085,0.00004476347,0.0001284131,0.00002923512],"domain_scores_gemma":[0.9995347,0.0002623584,0.00007080276,0.0000319337,0.00008525071,0.00001506719],"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":[0.00001901496,0.00003624748,0.003260803,0.00008578309,0.00001863101,0.0001172657,0.0001021948,0.932523,0.003476275,0.03365603,0.0004718025,0.0262331],"study_design_scores_gemma":[0.000001614975,0.00002762038,0.0006942597,0.000007366083,0.000008628315,0.00003401429,0.00002992196,0.9913857,0.001133296,0.00576945,0.0009020334,0.000006161499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1023602,0.0008323076,0.8855498,0.0003699631,0.00005268303,0.0000504893,0.00006917687,0.0002446201,0.01047085],"genre_scores_gemma":[0.9629112,0.001064852,0.03323489,0.00002723799,0.00002618131,0.00006186478,0.00003820189,0.00002262189,0.00261297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00562695,"threshold_uncertainty_score":0.01118839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403926067","doi":"10.1016/j.eng.2024.09.020","title":"ZEB1-AS1 as a TRPML1 Inhibitor to Cause Lysosome Dysfunction and Cardiac Damage in Aged Mice","year":2024,"lang":"en","type":"article","venue":"Engineering","topic":"Calcium signaling and nucleotide metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"Outstanding Youth Foundation of Jiangsu Province of China; China Postdoctoral Science Foundation; National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Lysosome; Cardiac dysfunction; Medicine; Internal medicine; Biology; Heart failure; Biochemistry; Enzyme","authors":[{"name":"Heng Liu","is_ca":false},{"name":"Haiying Zhang","is_ca":false},{"name":"Han Lou","is_ca":false},{"name":"Jennifer Wang","is_ca":true},{"name":"Hui Chen","is_ca":false},{"name":"Chen Chen","is_ca":false},{"name":"Lei Wang","is_ca":false},{"name":"Huimin Li","is_ca":false},{"name":"Ziyu Meng","is_ca":false},{"name":"Wenjie Zhao","is_ca":false},{"name":"Tong Zhao","is_ca":false},{"name":"Zhimin Du","is_ca":false},{"name":"Xin Liu","is_ca":false},{"name":"Baofeng Yang","is_ca":false},{"name":"Yong Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004658251344248862,"gpt":0.219307713064245,"spread":0.2146494617199961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003095386,0.000450526,0.0004864392,0.0004585476,0.0001781398,0.0002865947,0.0003067512,0.0004999783,0.002225048],"category_scores_gemma":[0.0001263943,0.0002292624,0.0004301255,0.0002098879,0.0003368756,0.0003001347,0.000168649,0.001155006,0.0004306837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575716,"about_ca_system_score_gemma":0.000305335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006399314,"about_ca_topic_score_gemma":0.0009170753,"domain_scores_codex":[0.9997818,0.00003937443,0.00002756506,0.00005035653,0.00003730346,0.00006364442],"domain_scores_gemma":[0.9998255,0.00001909105,0.00004610014,0.00001603516,0.00001524243,0.00007798494],"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":[0.0009374025,0.0002350482,0.0001874311,0.00006582443,0.00002157673,0.00005907169,0.0000249951,0.00009408686,0.9964811,0.0001482574,0.0001601771,0.001584978],"study_design_scores_gemma":[0.0001785626,0.00202867,0.00398156,0.00001851985,0.00007177926,0.0002133073,0.00007026517,0.001651289,0.9856727,0.0001520521,0.005949905,0.0000113458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892591,0.002713024,0.00425289,0.000439057,0.0001683377,0.00006796244,0.001244017,0.0003191172,0.00153662],"genre_scores_gemma":[0.9852166,0.002129165,0.003747285,0.0003495606,0.0000408999,0.0001791932,0.001379541,0.000103608,0.006854193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002225048,"threshold_uncertainty_score":0.007443488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2010835348","doi":"10.4236/eng.2013.510b038","title":"Cardiovascular Diseases Detecting via Pulse Analysis","year":2013,"lang":"en","type":"article","venue":"Engineering","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Winnipeg","funders":"","keywords":"Medicine; Pulse Wave Analysis; Pulse (music); Pulse wave velocity; Cardiology; Internal medicine; Pulse wave; Blood pressure; Computer science; Telecommunications","authors":[{"name":"Jingjing Xia","is_ca":true},{"name":"Simon Liao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005021345083273245,"gpt":0.2147309331129072,"spread":0.2097095880296339,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008717364,0.0003895274,0.0003434182,0.002134631,0.0002680025,0.0005540103,0.0002401677,0.0002720768,0.0009086117],"category_scores_gemma":[0.001883688,0.0001452858,0.0002446215,0.001297013,0.0001528792,0.0004054837,0.0002500732,0.0003332318,0.0002510044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110612,"about_ca_system_score_gemma":0.0002888567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550905,"about_ca_topic_score_gemma":0.001784346,"domain_scores_codex":[0.9994241,0.0002198453,0.00005899723,0.0001228358,0.0001276274,0.00004666308],"domain_scores_gemma":[0.9991943,0.0003093053,0.0001290317,0.00007889064,0.0002247087,0.00006367602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005209707,0.0001940832,0.8349134,0.0001713825,0.0001871326,0.0003221523,0.0003581401,0.0007707144,0.01918476,0.0002152622,0.0007495954,0.1424125],"study_design_scores_gemma":[0.00003097944,0.0005818409,0.9761386,0.00003308126,0.0002382344,0.001358804,0.0003220942,0.01088353,0.008596095,0.0004161207,0.001357463,0.0000430758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767212,0.000999702,0.01863035,0.00008357142,0.0000436114,0.00009543655,0.001021548,0.0001818941,0.002222577],"genre_scores_gemma":[0.9872544,0.0005475368,0.01073056,0.00004789084,0.00006882109,0.00005483841,0.0007228723,0.000009221966,0.000563774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002134631,"threshold_uncertainty_score":0.00461024,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412672805","doi":"10.1016/j.eng.2025.07.023","title":"Neural Network-Based Switching Output Regulation Control for High-Speed Nano-Positioning Stages","year":2025,"lang":"en","type":"article","venue":"Engineering","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Artificial neural network; Nano-; Computer science; Control (management); Control theory (sociology); Engineering; Artificial intelligence","authors":[{"name":"Hongwei Sun","is_ca":false},{"name":"Ning Xing","is_ca":false},{"name":"Jiayu Zou","is_ca":false},{"name":"Yang Shi","is_ca":true},{"name":"Han Ding","is_ca":false},{"name":"Hai-Tao Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00308623044445054,"gpt":0.179799274444683,"spread":0.1767130440002324,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003390323,0.0003007603,0.0002525079,0.0001598935,0.0002216356,0.0003505323,0.0006849692,0.0003603782,0.0009062561],"category_scores_gemma":[0.0004852971,0.0001454546,0.0002259202,0.0001905783,0.0002873594,0.0003615883,0.0003446432,0.0004577156,0.0001597936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004025956,"about_ca_system_score_gemma":0.0004552157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002986497,"about_ca_topic_score_gemma":0.003824418,"domain_scores_codex":[0.9997669,0.00002458936,0.0000160924,0.00006039571,0.00010414,0.00002785359],"domain_scores_gemma":[0.9998275,0.00004751039,0.00003727999,0.0000139294,0.00006680298,0.000007029309],"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":[0.00030092,0.0001371797,0.001081492,0.0003655896,0.00006122185,0.000163951,0.0001686052,0.562613,0.1812069,0.008033563,0.0013347,0.2445329],"study_design_scores_gemma":[0.000009951614,0.00007996098,0.0002715185,0.000006686042,0.00001023434,0.00002020452,0.000005759475,0.9868321,0.01156725,0.0003626372,0.0008267683,0.000007006431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05268443,0.0005361445,0.9403956,0.0001028412,0.000114529,0.00005410464,0.00002460126,0.0006109645,0.005476805],"genre_scores_gemma":[0.9485303,0.0001955538,0.04856049,0.00005558308,0.00002045626,0.00006853266,0.00003164773,0.00001583938,0.002521638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002986497,"threshold_uncertainty_score":0.005938232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994603492","doi":"10.4236/eng.2013.55a003","title":"On Point-Based Haptic Rendering","year":2013,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Computer graphics (images); Computation; Finite element method; Object (grammar); Representation (politics); Computer vision; Computer graphics; Point (geometry); Artificial intelligence; Algorithm; Mathematics; Geometry; Engineering","authors":[{"name":"Wen Shi","is_ca":true},{"name":"Shahram Payandeh","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003713320306780774,"gpt":0.1808040520934032,"spread":0.1770907317866224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006955399,0.0007547782,0.0006336053,0.0006247423,0.0004023452,0.002010484,0.00124259,0.00131057,0.007652045],"category_scores_gemma":[0.002564837,0.0004511532,0.0008787405,0.0006942284,0.001843356,0.002616541,0.002232602,0.001449577,0.001854503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005197962,"about_ca_system_score_gemma":0.0002874632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069964,"about_ca_topic_score_gemma":0.0004269881,"domain_scores_codex":[0.998633,0.00030504,0.00004264195,0.0001284154,0.0008291848,0.00006171873],"domain_scores_gemma":[0.9989216,0.0006106106,0.00005509019,0.0002130725,0.0001684553,0.00003107509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002513469,0.00007108506,0.0005443234,0.0006965944,0.00005683724,0.0007724939,0.001061418,0.1194144,0.09084084,0.5594791,0.005992411,0.2208192],"study_design_scores_gemma":[0.00006955484,0.0002956705,0.0006669287,0.0002589577,0.00004085094,0.001568994,0.0001795408,0.657496,0.02936762,0.2125672,0.09734071,0.0001479575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00456801,0.001141188,0.9801506,0.0001855244,0.0001240658,0.00006203428,0.00003810652,0.0004262499,0.01330415],"genre_scores_gemma":[0.4142791,0.006776644,0.5492518,0.0005596232,0.0005034152,0.0002382584,0.0001894941,0.0005185425,0.02768321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007652045,"threshold_uncertainty_score":0.02559865,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1983700855","doi":"10.4236/eng.2010.25051","title":"Influence of Clad Metal Chemistry on Stress Corrosion Cracking Behaviour of Stainless Steels Claddings in Chloride Solution","year":2010,"lang":"en","type":"article","venue":"Engineering","topic":"Corrosion Behavior and Inhibition","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":"Mitel (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Petrobras; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Stress corrosion cracking; Metallurgy; Corrosion; Materials science; Cladding (metalworking); Cracking; Austenite; Ferrite (magnet); Austenitic stainless steel; Microstructure; Metal; Boiling; Composite material; Chemistry","authors":[{"name":"Edmilson Otoni Corrêa","is_ca":false},{"name":"Reginaldo Pinto Barbosa","is_ca":true},{"name":"A.J.A. Buschinelli","is_ca":false},{"name":"Eduardo Moreira da Silva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006612478089162857,"gpt":0.2267000208000991,"spread":0.2200875427109362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002688025,0.0003470509,0.0002580581,0.0001763001,0.0001224075,0.0002390414,0.0001794309,0.0002197796,0.0008360807],"category_scores_gemma":[0.0006234213,0.0002430891,0.0001626595,0.0001231181,0.000176976,0.0001659539,0.0001441595,0.0002047449,0.0002336858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966186,"about_ca_system_score_gemma":0.0001867525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001845383,"about_ca_topic_score_gemma":0.003642382,"domain_scores_codex":[0.9997713,0.00005008101,0.00002858901,0.00004361475,0.00007247683,0.00003388983],"domain_scores_gemma":[0.9994982,0.000130903,0.0001142154,0.00003306879,0.0001557205,0.00006780624],"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":[0.0002205163,0.00001245217,0.0004548159,0.00004750275,0.000006141789,0.0000311279,0.00003454979,0.0001609922,0.9981996,0.000009022439,0.00001022549,0.000813039],"study_design_scores_gemma":[0.000006384669,0.000438388,0.002751147,0.000005216405,0.00001195322,0.00003580602,0.00002501075,0.0006293029,0.9958449,0.000006107681,0.0002414788,0.000004307129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991344,0.0002026556,0.0002319121,0.000008639634,0.000004356674,0.000006998598,0.00004889148,0.00001223135,0.0003499811],"genre_scores_gemma":[0.9984049,0.0001935065,0.0006816793,0.000009126005,0.000002483955,0.000005762637,0.00008399188,0.00001203165,0.0006065681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001845383,"threshold_uncertainty_score":0.003669262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200503412","doi":"10.1016/j.eng.2021.12.001","title":"Editorial for the Special Issue on 6G Requirements, Vision, and Enabling Technologies","year":2021,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Engineering; Engineering management; Systems engineering","authors":[{"name":"Ping Zhang","is_ca":false},{"name":"Xuemin Shen","is_ca":true},{"name":"Jianhua Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01265000063856907,"gpt":0.2985692680769813,"spread":0.2859192674384122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004688738,0.003559496,0.004023812,0.003130174,0.002440202,0.008101585,0.002813891,0.01460489,0.02105067],"category_scores_gemma":[0.01569966,0.001172765,0.003071537,0.001257415,0.002055004,0.003659438,0.00129654,0.01956768,0.0113881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016569,"about_ca_system_score_gemma":0.002177149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136705,"about_ca_topic_score_gemma":0.003449873,"domain_scores_codex":[0.9966288,0.0004485425,0.0004567934,0.0006625847,0.001475202,0.0003279492],"domain_scores_gemma":[0.982394,0.007049044,0.001232827,0.0005161286,0.006667309,0.002140692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004283664,0.00001757794,0.00003788839,0.0001487436,0.00002014921,0.0001011096,0.000007729388,0.0000307257,0.00008654618,0.0004185655,0.9948115,0.004276666],"study_design_scores_gemma":[0.00008610453,0.00007232386,0.0006005736,0.0004872853,0.00008917953,0.0003156407,0.0000572832,0.0002927008,0.000195367,0.00181741,0.9959557,0.00003053237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003968115,0.001926933,0.0001457697,0.01962116,0.977066,0.00001425166,0.00005339662,0.00003584719,0.001097027],"genre_scores_gemma":[0.0003155982,0.001662229,0.00007543997,0.009272076,0.9843454,0.00001253263,0.00003360917,0.00002124543,0.004262006],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02105067,"threshold_uncertainty_score":0.07042146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}