{"meta":{"query_hash":"10c6ec2620f2","filters":{"venue":"Production Engineering"},"cohort_total":7,"direct_labels_cover":0,"predictions_cover":7,"exported":7,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/10c6ec2620f2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Production+Engineering"},"results":[{"id":"W2058204450","doi":"10.1007/s11740-013-0499-6","title":"Consensus tree method for generating master assembly sequence","year":2013,"lang":"en","type":"article","venue":"Production Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Sequence (biology); Tree (set theory); Computer science; Theoretical computer science; Engineering drawing; Engineering; Mathematics; Combinatorics; Chemistry","score_opus":0.026560660037782652,"score_gpt":0.23697585365545204,"score_spread":0.2104151936176694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058204450","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049968744,0.00007033347,0.99281234,0.000041035837,0.000029916368,0.000057810565,0.00013367928,0.00070429634,0.0011537005],"genre_scores_gemma":[0.13720372,0.0001836816,0.8562069,0.00008773348,0.00003814985,0.00037239908,0.0014107272,0.00032605758,0.004170722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916756,0.00018657648,0.00004299128,0.00021668902,0.00030493393,0.000081215076],"domain_scores_gemma":[0.9983551,0.0008018864,0.00010023024,0.00016666223,0.00051574555,0.000060279544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087112904,0.0007646457,0.0011438538,0.0015754828,0.0010586405,0.00055194757,0.0015104293,0.0011488014,0.007870706],"category_scores_gemma":[0.0029195675,0.00062900246,0.0010548382,0.0016848887,0.00041490543,0.0011120696,0.0007755288,0.0010878878,0.0016729031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029434334,0.00012703874,0.00080042257,0.00027141688,0.00008478276,0.00024181422,0.00021033293,0.5427143,0.014364301,0.021768592,0.009850668,0.40927202],"study_design_scores_gemma":[0.00002069112,0.00004313589,0.00011373336,0.00000839489,0.000012374501,0.000048536735,0.000016956703,0.98937184,0.0027961347,0.006037627,0.0015212727,0.000009227442],"about_ca_topic_score_codex":0.0061273095,"about_ca_topic_score_gemma":0.0063535557,"teacher_disagreement_score":0.007870706,"about_ca_system_score_codex":0.000646454,"about_ca_system_score_gemma":0.0026637996,"threshold_uncertainty_score":0.026330113},"labels":[],"label_agreement":null},{"id":"W2091014384","doi":"10.1007/s11740-009-0177-x","title":"Optimization of surface roughness in an end-milling operation using nested experimental design","year":2009,"lang":"en","type":"article","venue":"Production Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machining; Surface roughness; Materials science; Aluminium; Surface finish; Metallurgy; Taguchi methods; Carbon steel; Alloy; Aluminium alloy; Composite material; Mechanical engineering; Engineering","score_opus":0.02204599708791042,"score_gpt":0.2580967823862313,"score_spread":0.23605078529832088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091014384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6839566,0.00013249817,0.31285322,0.000055660978,0.000025754845,0.00017664359,0.00004183694,0.00019810633,0.0025596737],"genre_scores_gemma":[0.9385645,0.000025297446,0.060951006,0.000008357828,0.000002794571,0.0000839839,0.000021465998,0.000022496173,0.00032008032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991881,0.00023724206,0.00004166125,0.00013848214,0.00028893907,0.00010553055],"domain_scores_gemma":[0.9982936,0.0009622268,0.00024177611,0.00017039098,0.00027463085,0.000057368074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020827735,0.0006424142,0.00097314594,0.0003052552,0.0004578055,0.0008051605,0.0008563901,0.0006733282,0.0007812652],"category_scores_gemma":[0.0028968307,0.00054617884,0.0006198307,0.00022295755,0.0007015908,0.000878242,0.00069432333,0.00066173245,0.000079478596],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008206079,0.00058655516,0.0014082902,0.00017278353,0.000042750205,0.00004590033,0.00010199471,0.8627598,0.108547114,0.0020176338,0.00009314415,0.023403388],"study_design_scores_gemma":[0.0000561274,0.00060697336,0.0006442462,0.0000034200891,0.000017501483,0.000009550393,0.000013680175,0.97211516,0.02605007,0.00030729052,0.0001630012,0.0000130107355],"about_ca_topic_score_codex":0.0013431796,"about_ca_topic_score_gemma":0.0019291579,"teacher_disagreement_score":0.0020827735,"about_ca_system_score_codex":0.0007062114,"about_ca_system_score_gemma":0.0009799943,"threshold_uncertainty_score":0.011014938},"labels":[],"label_agreement":null},{"id":"W2418532388","doi":"10.1007/s11740-016-0680-9","title":"Priority allocation rules for single machine total weighted linear and square tardiness problems","year":2016,"lang":"en","type":"article","venue":"Production Engineering","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tardiness; Due date; Mathematical optimization; Computer science; Scheduling (production processes); Process (computing); Constructive; Function (biology); Square (algebra); Job shop scheduling; Operations research; Mathematics; Schedule","score_opus":0.00973515311092604,"score_gpt":0.19790714417236455,"score_spread":0.1881719910614385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418532388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049069975,0.000457797,0.9423835,0.00028863316,0.00023190885,0.0002481595,0.00015101064,0.00030299163,0.006866022],"genre_scores_gemma":[0.47870955,0.0007907567,0.51158303,0.00021382839,0.00026215025,0.00035016937,0.00039561954,0.00028601888,0.007408856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998218,0.0005292541,0.00017423494,0.00021690218,0.00061681936,0.00024488766],"domain_scores_gemma":[0.99371004,0.0041809226,0.0004792807,0.00031208244,0.0009685259,0.00034914466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042505343,0.0007919284,0.0017260688,0.0012134347,0.0008022709,0.0026637414,0.0025573801,0.00089606206,0.0025167011],"category_scores_gemma":[0.008330156,0.0008423128,0.00096439646,0.0015528358,0.00080871716,0.0019891898,0.0007896782,0.0022747372,0.0005875223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006000725,0.0004173426,0.0007300341,0.00049224804,0.00010937964,0.00030375874,0.00031511163,0.74663615,0.007901357,0.10205632,0.006356015,0.13408218],"study_design_scores_gemma":[0.00010282566,0.000095830066,0.00015171264,0.000024156152,0.000028310544,0.000064572756,0.000032195716,0.9290182,0.0014432064,0.06764626,0.0013718026,0.00002086792],"about_ca_topic_score_codex":0.003261217,"about_ca_topic_score_gemma":0.003728961,"teacher_disagreement_score":0.0042505343,"about_ca_system_score_codex":0.0012004714,"about_ca_system_score_gemma":0.0017442171,"threshold_uncertainty_score":0.022479296},"labels":[],"label_agreement":null},{"id":"W3152687773","doi":"10.1007/s11740-021-01040-8","title":"Predicting regenerative chatter in milling with hardware-in-the-loop simulation using a dexel-based cutting model","year":2021,"lang":"en","type":"article","venue":"Production Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universität Stuttgart; University of British Columbia; Alexander von Humboldt-Stiftung","keywords":"Machining; Machine tool; Process (computing); Computation; Vibration; Computer science; Cutting tool; Numerical control; Position (finance); Stability (learning theory); Loop (graph theory); Control engineering; Control theory (sociology); Engineering; Simulation; Mechanical engineering; Algorithm; Control (management); Artificial intelligence","score_opus":0.01775272651505402,"score_gpt":0.23714977444092408,"score_spread":0.21939704792587006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152687773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63615215,0.00013953426,0.35669097,0.00011534846,0.00003617226,0.00008370645,0.000107478554,0.00071286125,0.00596177],"genre_scores_gemma":[0.9896488,0.000028435416,0.009179454,0.00000968697,0.0000017612805,0.000035724384,0.000028965243,0.000016156186,0.0010508702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989235,0.000030902454,0.0000050135695,0.000017356839,0.000037267157,0.00001710604],"domain_scores_gemma":[0.9994854,0.00034294845,0.00004794142,0.000041266212,0.000059958504,0.000022604536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038060968,0.00039973005,0.00052219373,0.00023712649,0.00022813659,0.0005409634,0.00059684314,0.00083522435,0.0011888676],"category_scores_gemma":[0.0008108489,0.00022041691,0.0003648505,0.0001324301,0.0004869839,0.00034383358,0.00034827905,0.00052415853,0.0001238972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030384805,0.000016937032,0.0003133619,0.0000135025675,0.0000039939937,0.000022847782,0.000019140552,0.99578285,0.0023122355,0.00028215762,0.000019728637,0.0011829131],"study_design_scores_gemma":[0.0000022516695,0.000007852768,0.0000328251,5.406336e-7,6.5519316e-7,0.0000012323502,0.0000011849542,0.99959475,0.00031401112,0.000023151333,0.000020876807,7.0616767e-7],"about_ca_topic_score_codex":0.006575291,"about_ca_topic_score_gemma":0.0033246786,"teacher_disagreement_score":0.006575291,"about_ca_system_score_codex":0.00041706106,"about_ca_system_score_gemma":0.0004763903,"threshold_uncertainty_score":0.01307404},"labels":[],"label_agreement":null},{"id":"W4384070258","doi":"10.1007/s11740-023-01215-5","title":"A priori evaluation of the printability of water-based anode dispersions in inkjet printing","year":2023,"lang":"en","type":"article","venue":"Production Engineering","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Technische Universität München; Bayerische Forschungsstiftung; Bundesministerium für Bildung und Forschung","keywords":"Materials science; Drop (telecommunication); Wetting; Graphite; Rheology; Contact angle; Chemical engineering; Composite material; Computer science","score_opus":0.023513179620185308,"score_gpt":0.23259114449377338,"score_spread":0.20907796487358807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384070258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97759366,0.0006757242,0.019967142,0.000039449405,0.000027873344,0.00005693145,0.00018285077,0.000118927564,0.001337432],"genre_scores_gemma":[0.98857516,0.00043184738,0.009836158,0.00001374981,0.000006119646,0.000024019073,0.00010231892,0.00002029255,0.0009903524],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996307,0.000054818498,0.000036525144,0.00006738279,0.00018628436,0.00002424182],"domain_scores_gemma":[0.99898857,0.00053788867,0.00016607615,0.000086061526,0.00019104112,0.000030284631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053944875,0.00029343492,0.00018726314,0.00031750818,0.00016602881,0.00035404274,0.00020917087,0.00034978407,0.0006358166],"category_scores_gemma":[0.0013441581,0.00012958102,0.00019299756,0.00020595772,0.00021419021,0.0003139491,0.00017604226,0.00034254155,0.00020414201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003799245,0.00001533025,0.00030769818,0.000028921382,0.00000379077,0.000034738212,0.00002494135,0.00022328165,0.99628985,0.000024176383,0.000008794955,0.0030004096],"study_design_scores_gemma":[9.2946493e-7,0.000069727335,0.00078579935,0.0000018726622,0.0000045396396,0.000010964822,0.0000076082465,0.0010690317,0.99794406,0.000008023802,0.00009506622,0.0000024053782],"about_ca_topic_score_codex":0.00038894944,"about_ca_topic_score_gemma":0.00074788934,"teacher_disagreement_score":0.0006358166,"about_ca_system_score_codex":0.00018677615,"about_ca_system_score_gemma":0.00009020982,"threshold_uncertainty_score":0.0028529167},"labels":[],"label_agreement":null},{"id":"W4396495728","doi":"10.1007/s11740-024-01279-x","title":"A two-stage stochastic optimization framework for retail supply chain modeling with contemporaneous resilient strategies","year":2024,"lang":"en","type":"article","venue":"Production Engineering","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Supply chain; Stage (stratigraphy); Supply chain management; Mathematical optimization; Computer science; Industrial engineering; Operations research; Business; Engineering; Mathematics; Marketing; Geology","score_opus":0.016100550310505866,"score_gpt":0.23157179606089803,"score_spread":0.21547124575039217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396495728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0175444,0.00050645944,0.9737748,0.00066851114,0.00008261859,0.0000807584,0.00027569747,0.00017831955,0.0068884916],"genre_scores_gemma":[0.87074006,0.00096924347,0.098077714,0.00030904493,0.00016922655,0.00047825655,0.00047388507,0.000184974,0.028597614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988887,0.0005230129,0.000049963262,0.00021710919,0.0001464815,0.00017475736],"domain_scores_gemma":[0.99762446,0.0016258518,0.00023516556,0.00008646638,0.00027655895,0.00015157503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032256395,0.0015720909,0.0024256054,0.0010480543,0.00078406505,0.0023391417,0.0031836834,0.00343625,0.0063172434],"category_scores_gemma":[0.005540467,0.001857677,0.0019590755,0.0011418854,0.0016062695,0.0021659732,0.002703438,0.0023674525,0.00049697654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000152336015,0.000015208895,0.00012299995,0.00002043495,0.000023903322,0.000042144562,0.000017299326,0.9828949,0.000117479234,0.015488077,0.00023470283,0.0010075741],"study_design_scores_gemma":[0.0000034006105,0.000006171979,0.000024974355,0.0000021286382,0.000005821313,0.0000025903264,0.0000032030343,0.9971631,0.0000182858,0.0026641777,0.00010179333,0.0000042739816],"about_ca_topic_score_codex":0.024233095,"about_ca_topic_score_gemma":0.014549581,"teacher_disagreement_score":0.024233095,"about_ca_system_score_codex":0.0018956142,"about_ca_system_score_gemma":0.002633548,"threshold_uncertainty_score":0.048184097},"labels":[],"label_agreement":null},{"id":"W4404416786","doi":"10.1007/s11740-024-01317-8","title":"Optimal vacuum port placement in vacuum-assisted composite manufacturing for leakage detection and localization: a hierarchical optimization approach","year":2024,"lang":"en","type":"article","venue":"Production Engineering","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Leakage (economics); Composite number; Port (circuit theory); Computer science; Mechanical engineering; Materials science; Manufacturing engineering; Engineering; Composite material","score_opus":0.01085535397228571,"score_gpt":0.2074314542444663,"score_spread":0.1965761002721806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404416786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021125374,0.0002168742,0.97568196,0.0000820378,0.000014378657,0.000038743372,0.000037771104,0.00031830688,0.0024845575],"genre_scores_gemma":[0.5938135,0.00029126732,0.40160224,0.000084649946,0.000024458432,0.00019918795,0.00013098119,0.0001837634,0.0036700321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963856,0.000100508325,0.000015158346,0.00007649436,0.00010736118,0.000061885905],"domain_scores_gemma":[0.9993113,0.00045187972,0.00007903566,0.000034088094,0.00010174962,0.000021988451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072707736,0.0011478497,0.001581661,0.00093363266,0.00043090034,0.0012262651,0.0011466427,0.001423338,0.0020870245],"category_scores_gemma":[0.0016534091,0.0014189612,0.0011523976,0.0007357039,0.00076261465,0.0010850767,0.0010531954,0.0007915353,0.00038466722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005137928,0.00004218299,0.0001843233,0.000060650196,0.000022670261,0.000031380816,0.000022418433,0.9770536,0.00463446,0.0017562952,0.00028229193,0.015858432],"study_design_scores_gemma":[0.0000032550456,0.0000146361235,0.000046989586,0.0000025658978,0.00000397745,0.00000526368,0.0000048233014,0.99862695,0.0007230273,0.0004982016,0.000067006724,0.0000033296667],"about_ca_topic_score_codex":0.0050665275,"about_ca_topic_score_gemma":0.004999485,"teacher_disagreement_score":0.0050665275,"about_ca_system_score_codex":0.000978765,"about_ca_system_score_gemma":0.0015695468,"threshold_uncertainty_score":0.010074019},"labels":[],"label_agreement":null}]}