{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":10,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":10,"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":"fe84c4f0bf45","filters":{"venue":"Advances in Manufacturing"}},"results":[{"id":"W2287571122","doi":"10.1007/s40436-015-0126-1","title":"Single point and asymmetric incremental forming","year":2015,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formability; Sheet metal; Single point; Surface finish; Aluminium; Surface roughness; Forming processes; Mechanical engineering; Point (geometry); Surface (topology); Incremental sheet forming; Process (computing); Engineering drawing; Materials science; Strip steel; Manufacturing engineering; Metallurgy; Engineering; Computer science; Composite material; Mathematics; Geometry","authors":[{"name":"J. Jeswiet","is_ca":true},{"name":"David W. Adams","is_ca":false},{"name":"Matthew Doolan","is_ca":false},{"name":"Tegan McAnulty","is_ca":false},{"name":"Pranav Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01703204342645674,"gpt":0.2563573916041118,"spread":0.239325348177655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569258,0.0003182598,0.0004329995,0.0003458897,0.0002617682,0.0005628703,0.0008117507,0.0005184712,0.003527424],"category_scores_gemma":[0.001154457,0.0002730914,0.0003851184,0.0003860435,0.0005909427,0.0008397924,0.0006966987,0.0004896827,0.0004023233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294194,"about_ca_system_score_gemma":0.0003257059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008010681,"about_ca_topic_score_gemma":0.001129711,"domain_scores_codex":[0.9997481,0.00004501612,0.000008497734,0.00003477863,0.0001401962,0.00002355321],"domain_scores_gemma":[0.9996618,0.000140433,0.00003830806,0.00008082592,0.00006209403,0.00001659718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001728623,0.00007622792,0.001147659,0.0001032706,0.00002290017,0.0001814244,0.0001392575,0.7091523,0.02528968,0.1804274,0.0008667705,0.08242023],"study_design_scores_gemma":[0.000007770645,0.00004662276,0.0003064068,0.000004429455,0.000006683254,0.0001538404,0.00001965944,0.9803791,0.006050299,0.01093143,0.002086063,0.000007762639],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1815168,0.000517285,0.769947,0.0001407232,0.0001475624,0.00006324736,0.00004622653,0.0004096819,0.04721143],"genre_scores_gemma":[0.899396,0.0002741858,0.09154451,0.00003285785,0.00002827927,0.00002801219,0.00005024406,0.00007736252,0.008568549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003527424,"threshold_uncertainty_score":0.01180041,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077042101","doi":"10.1007/s40436-013-0014-5","title":"Framework on robotic percussive riveting for aircraft assembly automation","year":2013,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rivet; Process (computing); Automation; Robot; Engineering; Key (lock); Manufacturing engineering; Systems engineering; Control engineering; Computer science; Mechanical engineering; Artificial intelligence; Computer security","authors":[{"name":"Fengfeng Xi","is_ca":true},{"name":"Yu Lin","is_ca":true},{"name":"Xiaowei Tu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007674095044892721,"gpt":0.2435134076227706,"spread":0.2358393125778779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053259,0.0008370489,0.0008376002,0.0005223528,0.0008574978,0.001013429,0.003204885,0.001341182,0.009524204],"category_scores_gemma":[0.0003677133,0.0003330307,0.001106323,0.0004600188,0.0008249702,0.0009807103,0.002090902,0.0009911904,0.00315285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971428,"about_ca_system_score_gemma":0.001050133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223161,"about_ca_topic_score_gemma":0.006549775,"domain_scores_codex":[0.9996331,0.00005246668,0.00001316609,0.00008982726,0.0001471026,0.00006443285],"domain_scores_gemma":[0.9999111,0.00001500909,0.000008027919,0.00002715266,0.00002673963,0.00001201899],"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":[0.0001118148,0.0001454561,0.0004229241,0.0003760788,0.0000620331,0.0005444582,0.0001738693,0.4488637,0.01387234,0.3574572,0.009242856,0.1687272],"study_design_scores_gemma":[0.0000253829,0.0001134917,0.0001675225,0.00003374388,0.00002005537,0.0002096817,0.00005033479,0.8961184,0.002617901,0.07101311,0.02960565,0.00002475655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002161263,0.0001590795,0.9882515,0.00005896702,0.0000524991,0.00006414063,0.00005366883,0.0007689121,0.00842989],"genre_scores_gemma":[0.1958048,0.0008037367,0.7783465,0.0001403635,0.00008657448,0.000372275,0.0004757466,0.000324292,0.02364575],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009524204,"threshold_uncertainty_score":0.0318616,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790161159","doi":"10.1007/s40436-018-0216-y","title":"Tracking and localization for omni-directional mobile industrial robot using reflectors","year":2018,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer vision; Mobile robot; Tracking (education); Artificial intelligence; Process (computing); Robot; Repeatability; Computer science; Trilateration; Trajectory; Engineering; Mathematics","authors":[{"name":"Shuai Guo","is_ca":false},{"name":"Tingting Fang","is_ca":false},{"name":"Tao Song","is_ca":false},{"name":"Fengfeng Xi","is_ca":true},{"name":"Bangguo Wei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02973498846319354,"gpt":0.287672576769418,"spread":0.2579375883062245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002875945,0.0004318391,0.0003690235,0.0003833524,0.0002719795,0.0003340196,0.0005531264,0.000525875,0.0005012001],"category_scores_gemma":[0.0004139867,0.0003018334,0.0003848981,0.0004083044,0.0002107622,0.0005136558,0.0005057428,0.0002821777,0.0003589597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956493,"about_ca_system_score_gemma":0.0003054077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216686,"about_ca_topic_score_gemma":0.001278031,"domain_scores_codex":[0.9997652,0.00003330111,0.000007770522,0.00007322617,0.00009031142,0.00003014548],"domain_scores_gemma":[0.9998417,0.00002913275,0.00003641452,0.00003129297,0.00005139371,0.00001000526],"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":[0.0007331431,0.0001442092,0.01090698,0.0002530552,0.00013093,0.0004877,0.0004280511,0.1155259,0.4549874,0.004856738,0.001722587,0.4098233],"study_design_scores_gemma":[0.00004613607,0.0005888597,0.0107435,0.00002400356,0.0001148997,0.0005482351,0.0001472785,0.8700372,0.1124409,0.001411249,0.003839626,0.00005809098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1483903,0.000347571,0.8473744,0.0000749553,0.00004315439,0.00002669037,0.00003791536,0.0007615394,0.002943389],"genre_scores_gemma":[0.8123695,0.0003596859,0.1824719,0.00004587283,0.00001682568,0.00004673568,0.000101885,0.00002699571,0.004560586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001216686,"threshold_uncertainty_score":0.002419233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3101546017","doi":"10.1007/s40436-020-00325-y","title":"Robust identification of weld seam based on region of interest operation","year":2020,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Welding; Robustness (evolution); Region of interest; Pixel; Computer science; Path (computing); Process (computing); Artificial intelligence; Identification (biology); Computer vision; Algorithm; Engineering; Mechanical engineering","authors":[{"name":"Yingzhong Tian","is_ca":false},{"name":"Hongfei Liu","is_ca":false},{"name":"Long Li","is_ca":false},{"name":"Wenbin Wang","is_ca":false},{"name":"Jiecai Feng","is_ca":false},{"name":"Fengfeng Xi","is_ca":true},{"name":"Guangjie Yuan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04316369128559026,"gpt":0.2519340316863294,"spread":0.2087703404007391,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004709655,0.0005673241,0.0008006479,0.0005321476,0.0002179312,0.0005074068,0.0007426254,0.0006142989,0.0008002677],"category_scores_gemma":[0.001353136,0.0002809814,0.0006229678,0.0003189061,0.0003100953,0.0005454076,0.0004920426,0.0005840612,0.0004302586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001830527,"about_ca_system_score_gemma":0.0004245012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105607,"about_ca_topic_score_gemma":0.0009680475,"domain_scores_codex":[0.9996724,0.00006770471,0.00001303109,0.0001109042,0.00009750259,0.00003854785],"domain_scores_gemma":[0.9996511,0.0001318975,0.00007586175,0.00004296248,0.0000839994,0.00001417917],"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":[0.0009517273,0.0001343283,0.003008895,0.0002890405,0.0001966231,0.0003651622,0.0002290291,0.293557,0.3548242,0.008947873,0.001436082,0.33606],"study_design_scores_gemma":[0.000005888424,0.00009590036,0.002017845,0.000008137416,0.0000202935,0.0001321207,0.00001752365,0.9665456,0.02918871,0.001322912,0.0006305295,0.00001455628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02211109,0.0002190723,0.9769028,0.00002572442,0.00001696576,0.00001434723,0.00002840434,0.0003077394,0.0003738256],"genre_scores_gemma":[0.7342878,0.0003682519,0.2622853,0.00004494418,0.00004334293,0.00008636961,0.0002242602,0.0001467018,0.002513116],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001105607,"threshold_uncertainty_score":0.002677202,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392515048","doi":"10.1007/s40436-024-00486-0","title":"Sustainable direct metallization of 3D-printed metal-infused polymer parts: a novel green approach to direct copper electroless plating","year":2024,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Copper; Materials science; Plating (geology); Metal; Copper plating; Metallurgy; Polymer; Composite material; Electroplating; Layer (electronics)","authors":[{"name":"Javid Sharifi","is_ca":true},{"name":"Vlad Paserin","is_ca":false},{"name":"Haniyeh Fayazfar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009949586226838504,"gpt":0.2349191152742943,"spread":0.2249695290474558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008979632,0.0004189478,0.0002622018,0.0002641545,0.0001437263,0.0004750639,0.0004655795,0.0003926286,0.001194508],"category_scores_gemma":[0.0001720588,0.0002574823,0.0003061391,0.0002295837,0.0002855441,0.0003630864,0.0006419628,0.0005865786,0.0008107523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002138525,"about_ca_system_score_gemma":0.0002125472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001184485,"about_ca_topic_score_gemma":0.0004194209,"domain_scores_codex":[0.9998301,0.00001045377,0.000008504423,0.00004150787,0.00008030634,0.00002904941],"domain_scores_gemma":[0.9999286,0.000011885,0.00002170497,0.00001855211,0.0000100469,0.000009243341],"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":[0.00001799884,0.00002188195,0.00007060514,0.0001150234,0.000007403827,0.0001802295,0.0000512382,0.0005319692,0.9867366,0.001120467,0.0003020364,0.01084449],"study_design_scores_gemma":[0.000003008809,0.00005297364,0.0002297548,0.000003601046,0.000004354184,0.0001360704,0.00001266001,0.001957537,0.9939382,0.0001454433,0.003510495,0.000005884399],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7835229,0.003024575,0.1790579,0.0003728095,0.0003537649,0.000165232,0.0003097182,0.001687522,0.03150554],"genre_scores_gemma":[0.9410524,0.001207211,0.04782979,0.0001046471,0.00002654987,0.00005988702,0.0001128326,0.0001072584,0.009499384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001194508,"threshold_uncertainty_score":0.003996015,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388902212","doi":"10.1007/s40436-023-00461-1","title":"Energy-efficient buffer and service rate allocation in manufacturing systems using hybrid machine learning and evolutionary algorithms","year":2023,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Mathematical optimization; Energy consumption; Sorting; Computer science; Efficient energy use; Boosting (machine learning); Genetic algorithm; Throughput; Evolutionary algorithm; Multi-objective optimization; Simulated annealing; Algorithm; Engineering; Artificial intelligence; Mathematics","authors":[{"name":"Sixiao Gao","is_ca":true},{"name":"Hui Liu","is_ca":true},{"name":"Jun Ota","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009209924249311162,"gpt":0.2314107093769856,"spread":0.2222007851276745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001005768,0.0005485449,0.001157839,0.0007698859,0.000462902,0.001175035,0.001084794,0.0009925474,0.001573172],"category_scores_gemma":[0.002398389,0.0005666704,0.0005322818,0.0008842351,0.0005311628,0.0011012,0.0006658387,0.0006762416,0.0001681372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054287,"about_ca_system_score_gemma":0.00126198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005523861,"about_ca_topic_score_gemma":0.004854385,"domain_scores_codex":[0.9996365,0.0001143785,0.00001735261,0.00006321304,0.00009743867,0.00007095727],"domain_scores_gemma":[0.9992307,0.000554028,0.00006484357,0.00002764404,0.00009816705,0.00002459321],"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":[0.00002085485,0.00001778703,0.0001031369,0.00001215641,0.000008901869,0.000007242665,0.000007344271,0.9899358,0.0003539117,0.001288189,0.00008531011,0.008159367],"study_design_scores_gemma":[0.000002555124,0.000004773036,0.00002225912,0.000001154842,0.000001579234,0.000001455003,0.000001397102,0.9992902,0.0001039591,0.0005361426,0.00003354418,9.091916e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06288695,0.0009069824,0.932274,0.0002803972,0.00007167993,0.00004952596,0.0000417434,0.0002714426,0.003217252],"genre_scores_gemma":[0.889243,0.0003074667,0.1071054,0.00008761596,0.00003351111,0.0001030986,0.00005700801,0.00005917401,0.003003654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005523861,"threshold_uncertainty_score":0.01098341,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1515036396","doi":"10.1007/s40436-014-0091-0","title":"Modeling and simulation of percussive impact for robotic riveting system","year":2014,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Science and Technology Commission of Shanghai Municipality","keywords":"Rivet; Workspace; Vibration; Robot; Engineering; Torque; Process (computing); Mechanical engineering; Control engineering; Computer science; Acoustics; Artificial intelligence; Physics","authors":[{"name":"Shuai Guo","is_ca":false},{"name":"Song-Liang Nie","is_ca":false},{"name":"Fengfeng Xi","is_ca":true},{"name":"Tao Song","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006811075086160124,"gpt":0.2464564542904872,"spread":0.239645379204327,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002476746,0.0006767133,0.0008721972,0.0008983633,0.001015763,0.0008981079,0.001527564,0.00204421,0.006915991],"category_scores_gemma":[0.0008518861,0.0005845229,0.0008047869,0.0005395527,0.0006657274,0.0007064618,0.0008822524,0.0007180469,0.0007008153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008554701,"about_ca_system_score_gemma":0.0010006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984075,"about_ca_topic_score_gemma":0.01286885,"domain_scores_codex":[0.9997888,0.00003419949,0.000009975689,0.00002798749,0.00007916654,0.00005985928],"domain_scores_gemma":[0.9996988,0.00009876306,0.00004035216,0.00003040807,0.00008862541,0.00004304533],"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":[0.00002941872,0.00002413978,0.000433727,0.0000201157,0.000007838214,0.00009502051,0.00002258095,0.9964023,0.0006425634,0.0007288679,0.0001969641,0.001396535],"study_design_scores_gemma":[0.000004706804,0.00001054347,0.0001811488,0.000001525309,0.000002264487,0.000007912478,0.00001085949,0.9993317,0.0001460644,0.0001198529,0.0001809785,0.000002458075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6752457,0.0008331243,0.2224876,0.0006882455,0.000305423,0.0002965681,0.001024871,0.001623542,0.09749483],"genre_scores_gemma":[0.9884799,0.0001657278,0.004338515,0.00003088422,0.00001478831,0.0000650231,0.0001742103,0.00005108991,0.00667992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02984075,"threshold_uncertainty_score":0.05933416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3205622821","doi":"10.1007/s40436-021-00372-z","title":"Effect of back pressure on the grinding performance of abrasive suspension flow machining","year":2021,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Abrasive; Nozzle; Materials science; Grinding; Suspension (topology); Back pressure; Machining; Mechanical engineering; Composite material; Metallurgy; Engineering","authors":[{"name":"Minghui Fang","is_ca":false},{"name":"Tao Yu","is_ca":false},{"name":"Fengfeng Xi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005395945070483531,"gpt":0.2420247511636005,"spread":0.236628806093117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003565644,0.0003434498,0.0003574331,0.0002067323,0.0003240423,0.0004797422,0.0003702758,0.0006083449,0.002276901],"category_scores_gemma":[0.001520818,0.0003138617,0.0002319121,0.0002039062,0.0002993985,0.0005316498,0.0001968987,0.0004999247,0.0004862827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499073,"about_ca_system_score_gemma":0.0001797325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007251578,"about_ca_topic_score_gemma":0.0006713997,"domain_scores_codex":[0.9996192,0.00004251911,0.00002224783,0.00005879574,0.000173235,0.00008390914],"domain_scores_gemma":[0.9984535,0.001052974,0.0001452158,0.00007687714,0.0002075885,0.00006390223],"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":[0.001626373,0.00007685869,0.0006111441,0.00009022494,0.00001168065,0.0001350181,0.0001139923,0.0006659171,0.9894297,0.00003900302,0.00009863948,0.007101481],"study_design_scores_gemma":[0.00001774245,0.0008729564,0.006046827,0.000004061681,0.0000186301,0.00005684757,0.00003501176,0.002725698,0.9898571,0.00001731219,0.0003343795,0.00001347931],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980099,0.0004280121,0.0007462243,0.00003016133,0.00002597883,0.000004000923,0.0000359461,0.00006457401,0.0006554227],"genre_scores_gemma":[0.99862,0.0001701936,0.0004546928,0.00001598083,0.00001254704,0.000002425858,0.00005110203,0.00002709677,0.0006459148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002276901,"threshold_uncertainty_score":0.007616997,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406816119","doi":"10.1007/s40436-024-00536-7","title":"Experimental study on ultrasonic vibration-assisted grinding of quartz glass microchannel","year":2025,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"MD Precision (Canada)","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Grinding; Microchannel; Materials science; Quartz; Ultrasonic sensor; Vibration; Acoustics; Composite material; Mechanical engineering; Engineering; Nanotechnology; Physics","authors":[{"name":"Yanjun Lü","is_ca":false},{"name":"Yameng Dai","is_ca":false},{"name":"Qiang Wang","is_ca":false},{"name":"Hu Luo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01003231460839458,"gpt":0.2881525311302196,"spread":0.278120216521825,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004617326,0.0003939889,0.0004172581,0.0002287914,0.0005452699,0.0002019672,0.0006415922,0.0004559491,0.002344387],"category_scores_gemma":[0.0006231646,0.0002715725,0.0003515443,0.0003462,0.0005314696,0.0003969271,0.000268626,0.0004602973,0.0001715521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320645,"about_ca_system_score_gemma":0.0003554025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171699,"about_ca_topic_score_gemma":0.002905123,"domain_scores_codex":[0.9994963,0.00004072437,0.00002384713,0.0001564104,0.0002166307,0.00006607942],"domain_scores_gemma":[0.9993972,0.0002603392,0.00007674226,0.000086282,0.0001446442,0.00003483901],"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":[0.00009245632,0.000026982,0.0002794656,0.00008589159,0.000004811784,0.00005451917,0.0001297894,0.0002296413,0.9967374,0.00007667011,0.00005004726,0.002232359],"study_design_scores_gemma":[0.00002172941,0.000477883,0.007833986,0.000005354409,0.00001941301,0.00008159779,0.0001159199,0.00280174,0.987664,0.00004049408,0.0009174995,0.00002030589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926602,0.0005021533,0.005377907,0.00004750242,0.00004170382,0.00003199464,0.0001047544,0.00006915227,0.001164638],"genre_scores_gemma":[0.9907397,0.0003016105,0.007551218,0.00001898948,0.00001887458,0.00002028362,0.00007758188,0.00001780165,0.001253983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002344387,"threshold_uncertainty_score":0.007842779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411336587","doi":"10.1007/s40436-025-00564-x","title":"Survey on machine learning applied to CNC milling processes","year":2025,"lang":"en","type":"article","venue":"Advances in Manufacturing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Universidade do Porto","keywords":"Manufacturing engineering; Cnc milling; Engineering; Engineering drawing; Computer science; Mechanical engineering; Numerical control; Machining","authors":[{"name":"M. Pasandidehpoor","is_ca":true},{"name":"Ana Rita Nogueira","is_ca":true},{"name":"João Moreira","is_ca":true},{"name":"Ricardo Sousa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006882864303305701,"gpt":0.2482403926760487,"spread":0.241357528372743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558854,0.0009117376,0.001091789,0.00407584,0.0003568257,0.001566057,0.001463133,0.0009888224,0.002530013],"category_scores_gemma":[0.004740613,0.0005029131,0.0009836785,0.006575699,0.0003714196,0.001886725,0.0006697171,0.0009798425,0.001486438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006688764,"about_ca_system_score_gemma":0.0008666649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279467,"about_ca_topic_score_gemma":0.001160042,"domain_scores_codex":[0.9986687,0.0002657228,0.0001707401,0.0003105888,0.0005286605,0.00005561078],"domain_scores_gemma":[0.9969445,0.001797557,0.0001551584,0.0001494286,0.0009046175,0.00004861295],"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":[0.00006076649,0.00008973907,0.002854499,0.005204126,0.0001156297,0.0001046898,0.00008555534,0.01224594,0.0009356021,0.007019904,0.01211053,0.9591729],"study_design_scores_gemma":[0.0000276654,0.0005258892,0.02004938,0.008556273,0.000331165,0.001423899,0.000423178,0.1355553,0.01375717,0.02739004,0.7917684,0.0001916632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01527526,0.8591059,0.09499015,0.001641984,0.001136492,0.0001165913,0.0006442427,0.0004483077,0.0266412],"genre_scores_gemma":[0.1395795,0.7975882,0.0498013,0.0007927332,0.001926751,0.0001509685,0.001896968,0.0001254642,0.008138075],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00407584,"threshold_uncertainty_score":0.00846374,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}