{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":94,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":94,"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":"aaae1aa6725d","filters":{"venue":"Procedia CIRP"}},"results":[{"id":"W406925390","doi":"10.1016/j.procir.2015.02.039","title":"Opportunities to Improve Recycling of Automotive Lithium Ion Batteries","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":229,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Automotive industry; Lithium (medication); Automotive engineering; Ion; Materials science; Manufacturing engineering; Engineering; Aerospace engineering; Chemistry; Psychology","authors":[{"name":"Alexandru Sonoc","is_ca":true},{"name":"Jack Jeswiet","is_ca":true},{"name":"Vi Kie Soo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06011186419492921,"gpt":0.2756704340557797,"spread":0.2155585698608505,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334625,0.0006953023,0.0005815274,0.001325544,0.0006975789,0.001958477,0.001097978,0.001531075,0.005837741],"category_scores_gemma":[0.00113068,0.0003004914,0.000802524,0.001100831,0.0004761347,0.002825312,0.001101325,0.0009872692,0.002581016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008151022,"about_ca_system_score_gemma":0.0009482386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008176947,"about_ca_topic_score_gemma":0.001195189,"domain_scores_codex":[0.9993266,0.0001062254,0.00004578803,0.00008799215,0.0002944414,0.0001390241],"domain_scores_gemma":[0.9995911,0.00005016757,0.00005704934,0.00006165799,0.0002157945,0.00002421747],"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":[0.0004477811,0.0007302568,0.005281691,0.0025709,0.00009389663,0.0008895012,0.0005468641,0.01306239,0.4636331,0.03884371,0.007568068,0.4663317],"study_design_scores_gemma":[0.0000651494,0.0008807181,0.003909361,0.0003613701,0.0001599776,0.001200185,0.0009634892,0.01881879,0.6895437,0.01851257,0.2654725,0.0001121225],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5735734,0.1274656,0.1726645,0.01488782,0.001155009,0.0002956118,0.0006163586,0.003052375,0.1062894],"genre_scores_gemma":[0.8517694,0.04537981,0.08532913,0.001221466,0.0002777547,0.0001100313,0.000548036,0.0002272969,0.01513706],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005837741,"threshold_uncertainty_score":0.01952916,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2092470473","doi":"10.1016/j.procir.2014.02.050","title":"An Optimization Approach for Components Built by Fused Deposition Modeling with Parametric Internal Structures","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Parametric statistics; Fused deposition modeling; Component (thermodynamics); Mechanical engineering; Layer (electronics); Shell (structure); Process (computing); Structural engineering; Deposition (geology); Material properties; Materials science; Engineering drawing; Computer science; 3D printing; Engineering; Composite material","authors":[{"name":"L. Villalpando","is_ca":true},{"name":"Hoda Eiliat","is_ca":true},{"name":"Jill Urbanic","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01513648019667603,"gpt":0.2143906070258735,"spread":0.1992541268291974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009496572,0.001437252,0.001307718,0.001025434,0.0005573709,0.001274022,0.001379283,0.00130142,0.003533517],"category_scores_gemma":[0.001145967,0.001073168,0.001864787,0.0009284454,0.0006441057,0.0005828206,0.0009843024,0.001157695,0.0005770238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009603351,"about_ca_system_score_gemma":0.00173971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009178353,"about_ca_topic_score_gemma":0.008069961,"domain_scores_codex":[0.9996746,0.00007976303,0.00001624119,0.00005000791,0.0001385814,0.0000408836],"domain_scores_gemma":[0.9995471,0.0002688209,0.00004663577,0.00002344446,0.00009842098,0.00001559291],"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":[0.000005694814,0.00001194851,0.0001062268,0.00004255803,0.00001356587,0.00002404879,0.00001749081,0.9899967,0.0005116645,0.003589086,0.000232467,0.00544857],"study_design_scores_gemma":[0.000002141236,0.000008452428,0.00002483989,0.000005982687,0.000005184408,0.000005461697,0.000006006853,0.9983108,0.0001869517,0.0007218939,0.0007197158,0.00000255088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005432277,0.0002408859,0.9885118,0.0001011027,0.00002377161,0.00008716466,0.00009726257,0.0001829443,0.005322908],"genre_scores_gemma":[0.2856353,0.0007883452,0.7022633,0.0001581359,0.00005221449,0.001149737,0.0005179386,0.0003881512,0.009046904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009178353,"threshold_uncertainty_score":0.01824981,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069745579","doi":"10.1016/j.procir.2014.01.101","title":"Architecture Framework for Manufacturing System Design","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"European Regional Development Fund; Agence Nationale de la Recherche","keywords":"Process development execution system; Architecture; Computer-integrated manufacturing; Integrated Computer-Aided Manufacturing; Systems architecture; Computer science; Manufacturing engineering; Systems engineering; Process (computing); Representation (politics); Engineering; Product (mathematics)","authors":[{"name":"Nadège Benkamoun","is_ca":false},{"name":"Waguih ElMaraghy","is_ca":true},{"name":"Anne-Lise Huyet","is_ca":false},{"name":"Khalid Kouiss","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01287589492993573,"gpt":0.2032674257182963,"spread":0.1903915307883605,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002525432,0.001255629,0.0007219025,0.002174723,0.001307755,0.004253882,0.002267056,0.002280629,0.006621212],"category_scores_gemma":[0.001981788,0.0005880469,0.002099346,0.001984301,0.002330781,0.002740709,0.002013816,0.002726983,0.002487943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002870037,"about_ca_system_score_gemma":0.003714419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007640528,"about_ca_topic_score_gemma":0.00662798,"domain_scores_codex":[0.9981322,0.0006335882,0.0001976507,0.000246515,0.0006456916,0.0001443409],"domain_scores_gemma":[0.9992993,0.0002022773,0.00005447279,0.0001563191,0.0002408441,0.00004681115],"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":[0.000004669246,0.000009543674,0.00005909771,0.0001242722,0.00001357421,0.00007830571,0.0001630132,0.01417547,0.000693774,0.9638376,0.002010442,0.0188302],"study_design_scores_gemma":[0.00002214883,0.0000486098,0.0001247796,0.0002830254,0.00002956817,0.0002594906,0.0001322181,0.07097554,0.0009041611,0.6157045,0.3114836,0.00003236193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005547334,0.001075074,0.9786261,0.0005384951,0.0001105544,0.0001509821,0.0001513814,0.0004161808,0.01837636],"genre_scores_gemma":[0.0365034,0.002288991,0.9485354,0.0002883231,0.0001401149,0.0008484559,0.0006213694,0.0001510576,0.01062282],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007640528,"threshold_uncertainty_score":0.02215016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2056147107","doi":"10.1016/j.procir.2014.01.107","title":"Use of Artificial Neural Networks for the Development of an Inverse Kinematic Solution and Visual Identification of Singularity Zone(s)","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Artificial neural network; Inverse kinematics; Kinematics; Backpropagation; Artificial intelligence; Perceptron; Computer science; Cartesian coordinate system; Singularity; Robot; Multilayer perceptron; Inverse; Mathematics; Geometry; Physics","authors":[{"name":"Luv Aggarwal","is_ca":true},{"name":"Kush Aggarwal","is_ca":true},{"name":"Jill Urbanic","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02734499994565859,"gpt":0.242054898736824,"spread":0.2147098987911654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005668481,0.0006331215,0.0003039359,0.0005400981,0.0002662707,0.0004672763,0.0004536798,0.0006200865,0.001086345],"category_scores_gemma":[0.001458817,0.0003268116,0.000352341,0.0003407987,0.000343462,0.000602411,0.0004020988,0.0007599726,0.0003213238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602363,"about_ca_system_score_gemma":0.0003187176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001241612,"about_ca_topic_score_gemma":0.001848337,"domain_scores_codex":[0.9998496,0.00003255429,0.0000109975,0.0000286736,0.00006914779,0.000009147085],"domain_scores_gemma":[0.9996288,0.0001882151,0.00004243566,0.00003453863,0.00009624287,0.000009744456],"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":[0.00007777472,0.00005494931,0.001069441,0.0002234931,0.0000628824,0.0001978969,0.0001306869,0.51032,0.03623343,0.01243939,0.0009187174,0.4382713],"study_design_scores_gemma":[0.000003485635,0.00002601907,0.0002334276,0.00001401064,0.000006684443,0.00004410189,0.000008330388,0.9898381,0.006240422,0.002170387,0.001407343,0.000007619901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00662339,0.0002340942,0.9915371,0.00004527723,0.00002335442,0.00001463563,0.000008975281,0.0002980308,0.001215163],"genre_scores_gemma":[0.311621,0.0005036508,0.6848407,0.00004739872,0.00003141876,0.0000735014,0.00005256847,0.00007454774,0.002755289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001241612,"threshold_uncertainty_score":0.003634214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073561110","doi":"10.1016/j.procir.2013.06.066","title":"Finite Element-based Modeling of Machining-induced Residual Stresses in Ti-6Al-4V under Finish Turning Conditions","year":2013,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":41,"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; McGill University","funders":"","keywords":"Residual stress; Machining; Materials science; Finite element method; Enhanced Data Rates for GSM Evolution; Surface integrity; Titanium alloy; Residual; RADIUS; Surface roughness; Cutting tool; Composite material; Structural engineering; Mechanical engineering; Metallurgy; Alloy; Engineering; Computer science","authors":[{"name":"E. Abboud","is_ca":true},{"name":"Bin Shi","is_ca":true},{"name":"Helmi Attia","is_ca":true},{"name":"V. Thomson","is_ca":true},{"name":"Y. Mebrahtu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01616516015510692,"gpt":0.246340878276261,"spread":0.2301757181211541,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003220915,0.0004271515,0.000599222,0.0004923916,0.0003587737,0.0006800752,0.001058134,0.001415915,0.001834913],"category_scores_gemma":[0.0006196142,0.0004781313,0.0006989521,0.0003069627,0.0005605972,0.0003040321,0.0003291743,0.0004277197,0.0003163579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000581368,"about_ca_system_score_gemma":0.0008399752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126741,"about_ca_topic_score_gemma":0.008203476,"domain_scores_codex":[0.9998577,0.00002582683,0.000009108838,0.00002166397,0.00006079364,0.00002493118],"domain_scores_gemma":[0.9997646,0.000113083,0.00003949221,0.00002220753,0.00004809097,0.00001254128],"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":[0.0000282386,0.00002725149,0.0004697628,0.0000233821,0.000005965493,0.00004098563,0.00003599746,0.9921595,0.005019522,0.0004618347,0.00004131867,0.001686187],"study_design_scores_gemma":[0.000002940746,0.00001490691,0.0002005554,0.000002696903,0.000002224161,0.000006563811,0.000008766167,0.9989465,0.0006567849,0.00005747714,0.00009760718,0.0000029963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.68729,0.000445677,0.2915359,0.0002269027,0.00006400402,0.0001747835,0.0005799085,0.0006476113,0.01903522],"genre_scores_gemma":[0.9809875,0.0001567586,0.01512168,0.00001935008,0.000004659672,0.0001130104,0.0001781194,0.00003997126,0.003378913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126741,"threshold_uncertainty_score":0.02240366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W749350555","doi":"10.1016/j.procir.2015.06.015","title":"Modelling the Problem of Production Scheduling for Reconfigurable Manufacturing Systems","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Simulated annealing; Scheduling (production processes); Job shop scheduling; Computer science; Scalability; Flexible manufacturing system; Mathematical optimization; Metaheuristic; Industrial engineering; Engineering; Algorithm; Mathematics; Embedded system","authors":[{"name":"Ahmed Azab","is_ca":true},{"name":"Bahman Naderi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04145930493500528,"gpt":0.2198233768359382,"spread":0.1783640719009329,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067997,0.001554729,0.001340206,0.0007067756,0.000679194,0.002301688,0.00180912,0.002897373,0.006199527],"category_scores_gemma":[0.002587625,0.0007963432,0.00173154,0.001444494,0.00111333,0.001359095,0.001131291,0.001503858,0.0007159652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981468,"about_ca_system_score_gemma":0.002039725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009813384,"about_ca_topic_score_gemma":0.006714019,"domain_scores_codex":[0.99914,0.000360319,0.00004425393,0.0001952791,0.0001242531,0.000135833],"domain_scores_gemma":[0.9989126,0.0007896443,0.0001479773,0.00003826971,0.00005580108,0.00005566055],"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":[0.00002567225,0.0000221919,0.0001073778,0.00008914181,0.00001413744,0.0001162184,0.00003714389,0.9757094,0.0004637011,0.02057362,0.0003816415,0.002459729],"study_design_scores_gemma":[0.00002018421,0.00002985232,0.00007850487,0.00001379671,0.000009546882,0.00002699743,0.00002632841,0.9850494,0.000167567,0.01274199,0.001829147,0.000006610832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04619622,0.001555745,0.922716,0.001045505,0.0001726832,0.000311874,0.0006100716,0.000269168,0.02712275],"genre_scores_gemma":[0.7503118,0.003082675,0.2215804,0.0002336359,0.0002243711,0.0009627084,0.0008061116,0.0001927813,0.0226056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009813384,"threshold_uncertainty_score":0.0207395,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2944455432","doi":"10.1016/j.procir.2019.01.007","title":"Comparison of environmental assessment methodology in hybrid energy system simulation software","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":31,"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":"Agence Nationale de la Recherche","keywords":"Fossil fuel; Software; Life-cycle assessment; Upstream (networking); TRNSYS; Environmental impact assessment; Renewable energy; Engineering; Environmental economics; Environmental science; Systems engineering; Environmental resource management; Computer science; Energy (signal processing); Production (economics); Waste management","authors":[{"name":"Hemant Sharma","is_ca":true},{"name":"Élise Monnier","is_ca":false},{"name":"Guillaume Mandil","is_ca":false},{"name":"Peggy Zwolinski","is_ca":false},{"name":"Stéphane Colasson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04451401049032522,"gpt":0.325752412002759,"spread":0.2812384015124337,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004154381,0.0006493008,0.0004997684,0.001743811,0.0003161321,0.001706575,0.001115399,0.0007247857,0.003700294],"category_scores_gemma":[0.008644039,0.0003701947,0.0008726477,0.001262139,0.0003205081,0.001409864,0.001006874,0.0005812947,0.0003770622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009936369,"about_ca_system_score_gemma":0.0006994242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004608097,"about_ca_topic_score_gemma":0.003435527,"domain_scores_codex":[0.9977192,0.001374068,0.0001734312,0.0001407562,0.0004941081,0.00009839628],"domain_scores_gemma":[0.9935975,0.004534337,0.0002285336,0.0003823194,0.001160464,0.00009693356],"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":[0.0004396457,0.0002517698,0.00610298,0.0003884287,0.0002112126,0.00008250793,0.0003633861,0.8598259,0.002725266,0.01592974,0.001232769,0.1124463],"study_design_scores_gemma":[0.00002721959,0.0001052181,0.001037173,0.00004128042,0.00002621544,0.00002054868,0.00009770205,0.991748,0.001279048,0.002975804,0.002625354,0.00001656331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3760456,0.0008411375,0.5927024,0.0003806113,0.0001354001,0.0004291937,0.001329549,0.004981228,0.023155],"genre_scores_gemma":[0.7957985,0.0003812204,0.2005007,0.00006341276,0.00001591387,0.0003889039,0.0007988037,0.000474043,0.001578493],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004608097,"threshold_uncertainty_score":0.02197075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2286315129","doi":"10.1016/j.procir.2015.12.130","title":"Resource Efficient Configuration of an Aircraft Assembly Line","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Università degli Studi di Napoli Federico II","keywords":"Assembly line; Process (computing); Line (geometry); Engineering; Profitability index; Manufacturing engineering; Throughput; Resource (disambiguation); Computer science; Systems engineering; Engineering drawing; Mechanical engineering","authors":[{"name":"Alessandra Caggiano","is_ca":false},{"name":"Adelaide Marzano","is_ca":false},{"name":"Roberto Teti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007205504766131933,"gpt":0.2148080185506236,"spread":0.2076025137844917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000334862,0.0006917933,0.0003743455,0.0008578259,0.0006136702,0.001266698,0.0006426926,0.0005509505,0.002792395],"category_scores_gemma":[0.0009700583,0.0002737342,0.000273965,0.0007373822,0.0003773301,0.0006541384,0.0005395601,0.0002950176,0.000497114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007122064,"about_ca_system_score_gemma":0.0006576154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002045671,"about_ca_topic_score_gemma":0.001865744,"domain_scores_codex":[0.9994869,0.0001604642,0.00002497094,0.00009009628,0.0001358914,0.0001015422],"domain_scores_gemma":[0.9996637,0.00008117292,0.0001020027,0.00006306699,0.00005843154,0.0000316981],"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":[0.0001334242,0.00004952451,0.0009337489,0.00006035677,0.00001397622,0.0003937561,0.00007878255,0.9515089,0.01692869,0.004855921,0.0003976259,0.02464527],"study_design_scores_gemma":[0.00004664634,0.000378209,0.002292721,0.00002253994,0.00003473875,0.0002700787,0.0001801935,0.9687228,0.01896994,0.004162198,0.004883749,0.00003612565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4116456,0.0003882414,0.5601337,0.0001678989,0.00005749264,0.0002299232,0.0002282105,0.0008981054,0.02625081],"genre_scores_gemma":[0.9688121,0.00009695495,0.0292625,0.00001125903,0.000006739339,0.00005880144,0.0001047663,0.00002942634,0.001617429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002792395,"threshold_uncertainty_score":0.009341478,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3167446380","doi":"10.1016/j.procir.2021.05.009","title":"An ontology model to support the automated design of aquaponic grow beds","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Innovations in Aquaponics and Hydroponics Systems","field":"Agricultural and Biological Sciences","cited_by":27,"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":"Aquaponics; Agricultural engineering; Footprint; Systems design; Engineering; Selection (genetic algorithm); Agriculture; Computer science; Aquaculture; Fish <Actinopterygii>; Systems engineering; Artificial intelligence; Ecology; Biology","authors":[{"name":"Rabiya Abbasi","is_ca":true},{"name":"Pablo Martı́nez","is_ca":true},{"name":"Rafiq Ahmad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05283491570928987,"gpt":0.2880172187977187,"spread":0.2351823030884288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00163421,0.0009728057,0.0006156364,0.001621379,0.001011827,0.002815198,0.002016994,0.001288385,0.003464191],"category_scores_gemma":[0.004110068,0.00104498,0.002863134,0.001104774,0.0007900444,0.003100948,0.002178774,0.001937225,0.0009464996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142786,"about_ca_system_score_gemma":0.004131425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053854,"about_ca_topic_score_gemma":0.03446058,"domain_scores_codex":[0.9987675,0.0002498098,0.0002022331,0.0002207423,0.0004559541,0.0001036749],"domain_scores_gemma":[0.9983871,0.0006787969,0.0001971585,0.0003094524,0.0003414508,0.00008599035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002427084,0.0006887556,0.005044735,0.001032202,0.0002830278,0.00183104,0.002349191,0.3865639,0.02582315,0.3248637,0.01065837,0.2406194],"study_design_scores_gemma":[0.00006268068,0.00006442796,0.0007311308,0.0002436999,0.0001726072,0.0003392239,0.0003291021,0.8412983,0.009778496,0.05021713,0.09669505,0.00006819293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007446339,0.0001047773,0.9838918,0.0003622657,0.00003687765,0.0003628343,0.0010241,0.002089903,0.004681072],"genre_scores_gemma":[0.07795902,0.0004082749,0.9152343,0.0001533194,0.00001522745,0.0005839647,0.002622748,0.0003375697,0.00268561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02053854,"threshold_uncertainty_score":0.040838,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W421634287","doi":"10.1016/j.procir.2015.01.071","title":"Energy Use in Premanufacture (Mining)","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"HVAC; Energy consumption; Waste management; Product (mathematics); Life-cycle assessment; Engineering; Energy (signal processing); Process engineering; Production (economics); Supply chain; Environmental science; Manufacturing engineering; Mechanical engineering; Business; Air conditioning","authors":[{"name":"J. Jeswiet","is_ca":true},{"name":"J.F. Archibald","is_ca":true},{"name":"Ursula Thorley","is_ca":true},{"name":"E. De Souza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02852619195584343,"gpt":0.2164145612882273,"spread":0.1878883693323838,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789203,0.0002901185,0.0001927528,0.0008935993,0.0003645515,0.0008089634,0.0003766521,0.0003702293,0.008427724],"category_scores_gemma":[0.0003394254,0.0001184717,0.0004572732,0.001430191,0.0002226931,0.0006784436,0.0004903771,0.0002213262,0.001226578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156226,"about_ca_system_score_gemma":0.0004524672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005973814,"about_ca_topic_score_gemma":0.01020215,"domain_scores_codex":[0.9996729,0.00003494913,0.00002257704,0.00005457397,0.000151873,0.00006328145],"domain_scores_gemma":[0.9998608,0.00004629845,0.00002827467,0.00001942406,0.00003844398,0.000006800271],"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":[0.0005141272,0.0003980524,0.1188471,0.001392595,0.0001616643,0.001545463,0.0009210732,0.03794681,0.05027121,0.05166743,0.008280976,0.7280536],"study_design_scores_gemma":[0.00001676767,0.0007345027,0.3488007,0.0007205277,0.0001333683,0.003324743,0.002711283,0.01975176,0.1629061,0.02656261,0.4341996,0.0001381168],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7285342,0.01125156,0.05076331,0.0009485555,0.0002054261,0.0002391007,0.008300481,0.0004933865,0.199264],"genre_scores_gemma":[0.9683766,0.002464005,0.005522768,0.00008329914,0.00001709102,0.00004582849,0.001419788,0.00007031175,0.02200036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008427724,"threshold_uncertainty_score":0.02819347,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2810853631","doi":"10.1016/j.procir.2018.03.201","title":"Benchmarking of Pattern Recognition Techniques for Online Tool Wear Detection","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmarking; Linear discriminant analysis; Robustness (evolution); Pattern recognition (psychology); Computer science; Artificial intelligence; Reliability (semiconductor); Machine learning; Tool wear; Data mining; Engineering; Machining","authors":[{"name":"Mahmoud Hassan","is_ca":true},{"name":"A. Damir","is_ca":true},{"name":"Helmi Attia","is_ca":true},{"name":"V. Thomson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01280164545726476,"gpt":0.2442861785737775,"spread":0.2314845331165128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00148654,0.0007502257,0.0005497199,0.001324334,0.0001770938,0.0006525354,0.0009495156,0.0006693256,0.001099681],"category_scores_gemma":[0.004217681,0.0001634641,0.0003536189,0.000972014,0.0001843269,0.0006891454,0.0003723749,0.0003518073,0.0005193346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004083565,"about_ca_system_score_gemma":0.0003271433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001577904,"about_ca_topic_score_gemma":0.001258189,"domain_scores_codex":[0.998629,0.000326721,0.0001333006,0.0003254,0.0004945842,0.00009098682],"domain_scores_gemma":[0.9964265,0.001747207,0.000300695,0.0004739678,0.00100122,0.00005047264],"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":[0.001088387,0.0006954513,0.008996472,0.0003134129,0.0001786732,0.000108218,0.00005321024,0.1249503,0.0730465,0.0003748826,0.001723713,0.7884707],"study_design_scores_gemma":[0.0000482894,0.0009655044,0.01436894,0.00001489325,0.00004136119,0.0001418038,0.00003802102,0.9034823,0.07948643,0.0003116798,0.001078669,0.00002210976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369627,0.00125707,0.2541463,0.000148157,0.0001122505,0.0001563191,0.0005382245,0.004359415,0.002319577],"genre_scores_gemma":[0.9154012,0.0001701906,0.08298606,0.00002618419,0.00001479001,0.00006933467,0.0005118943,0.000050465,0.0007698601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001577904,"threshold_uncertainty_score":0.007861674,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1963690397","doi":"10.1016/j.procir.2014.07.077","title":"Process for Advanced Management and Technologies of Aircraft EOL","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Dispose pattern; Scope (computer science); Engineering; Process (computing); Work (physics); Systems engineering; Manufacturing engineering; Risk analysis (engineering); Waste management; Business; Computer science; Mechanical engineering","authors":[{"name":"Christian Mascle","is_ca":true},{"name":"Pierre Baptiste","is_ca":true},{"name":"D. Sainte Beuve","is_ca":true},{"name":"Aurore Camelot","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01401608704491132,"gpt":0.2317631701296976,"spread":0.2177470830847863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000301465,0.0004253164,0.0003157372,0.0005353145,0.0005326858,0.001166377,0.0004889193,0.0006782735,0.003359283],"category_scores_gemma":[0.000250714,0.0001658446,0.0004249518,0.0005772538,0.0003509058,0.0006891281,0.0006157649,0.0007069161,0.001297413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008361122,"about_ca_system_score_gemma":0.001000065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00135246,"about_ca_topic_score_gemma":0.001119134,"domain_scores_codex":[0.9996365,0.00003556063,0.00001564913,0.00006150991,0.0002051308,0.00004565504],"domain_scores_gemma":[0.9998963,0.0000109168,0.00002394712,0.00002841372,0.00003323789,0.000007211324],"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":[0.000231407,0.0004661666,0.002881085,0.0009377307,0.00003361683,0.0004801241,0.0001960413,0.1334219,0.5229231,0.0836893,0.004482677,0.2502569],"study_design_scores_gemma":[0.00008765884,0.00138333,0.007764624,0.0001497668,0.00005517549,0.0008216716,0.000266284,0.3316092,0.4542389,0.03236041,0.1711817,0.00008134091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1672329,0.007898332,0.745485,0.001079065,0.0003233508,0.0006289264,0.001116628,0.0009698942,0.07526598],"genre_scores_gemma":[0.8389943,0.004251197,0.1336947,0.0001473521,0.00004720134,0.0003872365,0.0008699612,0.00007461634,0.02153345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003359283,"threshold_uncertainty_score":0.01123792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2955540682","doi":"10.1016/j.procir.2019.04.235","title":"Effect of axial vibrations on regenerative chatter in robotic milling","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vibration; Engineering; Mechanical engineering; Regenerative medicine; Materials science; Computer science; Control engineering; Structural engineering; Acoustics; Physics; Chemistry","authors":[{"name":"Yaser Mohammadi","is_ca":true},{"name":"Keivan Ahmadi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00372993655262233,"gpt":0.2197567218520342,"spread":0.2160267852994119,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009634661,0.0004330662,0.0003637758,0.0003604464,0.0003383724,0.0004131127,0.0004103473,0.0006768897,0.0009377188],"category_scores_gemma":[0.003230995,0.0001967731,0.0002817443,0.0001364316,0.00102715,0.0004050081,0.0005240783,0.0003949909,0.00009923502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928455,"about_ca_system_score_gemma":0.000158955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163333,"about_ca_topic_score_gemma":0.0008632335,"domain_scores_codex":[0.9995497,0.0001788695,0.00002155933,0.00004613751,0.0001628307,0.00004084124],"domain_scores_gemma":[0.9968664,0.002502739,0.000295848,0.0001111542,0.0001672666,0.00005643941],"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":[0.001041352,0.00009982958,0.004532842,0.0004561633,0.00006842192,0.001869276,0.0009522967,0.8340805,0.1190618,0.008377691,0.0002727317,0.02918712],"study_design_scores_gemma":[0.00001270407,0.0002132702,0.002081342,0.00002147438,0.00001974928,0.0002076922,0.00007498957,0.9839689,0.01198918,0.001205647,0.0001863759,0.00001879976],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7350066,0.0007735337,0.2577677,0.0001541611,0.00005555479,0.00003344032,0.00002384806,0.0003288414,0.005856312],"genre_scores_gemma":[0.9980556,0.000043915,0.001570958,0.000005998094,0.000003560246,0.000003911325,0.000002338666,0.000006752604,0.0003070626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001163333,"threshold_uncertainty_score":0.005095363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W753712126","doi":"10.1016/j.procir.2015.06.013","title":"Industrial Product Service System: A Case Study from the Agriculture Sector","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Product-service system; Product (mathematics); Agriculture; Tertiary sector of the economy; Service (business); Business; Process management; Engineering; Manufacturing engineering; Industrial organization; Marketing; Business model; Mathematics","authors":[{"name":"Aiman Ziout","is_ca":true},{"name":"Ahmed Azab","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09748447461501095,"gpt":0.2382679040246823,"spread":0.1407834294096713,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001190803,0.0003982038,0.000288283,0.001392373,0.00252787,0.001402899,0.0007839571,0.00207985,0.003620075],"category_scores_gemma":[0.002416393,0.0001914052,0.0004004238,0.002452965,0.0009443698,0.001103982,0.0009887094,0.0007974743,0.0007018302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003075772,"about_ca_system_score_gemma":0.001546392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02084454,"about_ca_topic_score_gemma":0.02762323,"domain_scores_codex":[0.9989263,0.0004716319,0.00004935271,0.0000767424,0.0002810043,0.0001949653],"domain_scores_gemma":[0.9979443,0.001173228,0.00017801,0.0001151417,0.0003311402,0.0002581523],"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":[0.001533129,0.01190159,0.2784586,0.001898315,0.0001742481,0.1262343,0.08355822,0.0800467,0.03250667,0.05234343,0.01776568,0.3135791],"study_design_scores_gemma":[0.0004380886,0.00602609,0.2814569,0.0004837596,0.0001839378,0.02328864,0.2768248,0.1921128,0.0274506,0.01231898,0.1791774,0.0002379734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986627,0.000142964,0.002714315,0.000465004,0.00000716792,0.0001457441,0.0001637064,0.00003379426,0.009700214],"genre_scores_gemma":[0.9909315,0.0002798017,0.003979787,0.00007024028,0.000007520895,0.0000469922,0.0001677292,0.00001440287,0.004501951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02084454,"threshold_uncertainty_score":0.04144645,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034458339","doi":"10.1016/j.procir.2014.02.032","title":"Analysis of Friction and Burr Formation in Slot Milling","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","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":"École de Technologie Supérieure","funders":"","keywords":"Machining; Enhanced Data Rates for GSM Evolution; Mechanical engineering; Materials science; Shear (geology); Engineering; Engineering drawing; Composite material","authors":[{"name":"Seyed Ali Niknam","is_ca":true},{"name":"Victor Songméné","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004947346909165442,"gpt":0.201745780799997,"spread":0.1967984338908316,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000326621,0.0002335403,0.0005290945,0.0005694064,0.0002639362,0.0004562363,0.0003639153,0.000475777,0.0004457616],"category_scores_gemma":[0.001194072,0.0002228755,0.0003963654,0.0004976905,0.0002650046,0.0003184522,0.0001694141,0.0002169313,0.00009209412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000329986,"about_ca_system_score_gemma":0.0002424519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213473,"about_ca_topic_score_gemma":0.001764419,"domain_scores_codex":[0.9998164,0.00001604153,0.00001108081,0.00004119729,0.00009142241,0.00002394813],"domain_scores_gemma":[0.9995505,0.0002781543,0.00005647874,0.00003034389,0.00006983885,0.00001466011],"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":[0.0008769231,0.0001555332,0.02986983,0.0004628642,0.00006631688,0.0008380564,0.000486535,0.7171564,0.158217,0.002437537,0.0005225536,0.08891041],"study_design_scores_gemma":[0.000009049762,0.0001272479,0.008963411,0.000006092579,0.000008246183,0.00009849743,0.00004344598,0.9782661,0.0118898,0.0001759369,0.0003980929,0.00001424843],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9280123,0.0005464106,0.0699144,0.00002752932,0.00001448937,0.00002314697,0.00007752323,0.000185149,0.001199058],"genre_scores_gemma":[0.9924904,0.00006700234,0.007069871,0.000002809558,0.000001128727,0.000006401581,0.00004464651,0.00001190058,0.0003058187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002213473,"threshold_uncertainty_score":0.004401207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2047697359","doi":"10.1016/j.procir.2014.03.047","title":"Survival Life Analysis of the Cutting Tools During Turning Titanium Metal Matrix Composites (Ti-MMCs)","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University; Polytechnique Montréal","funders":"National Research Council Canada","keywords":"Materials science; Titanium; Composite material; Matrix (chemical analysis); Metal; Titanium alloy; Metallurgy; Alloy","authors":[{"name":"Maryam Aramesh","is_ca":true},{"name":"Yasser Shaban","is_ca":true},{"name":"Marek Balazinski","is_ca":true},{"name":"Helmi Attia","is_ca":false},{"name":"Hossam A. Kishawy","is_ca":true},{"name":"Soumaya Yacout","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007026608356058002,"gpt":0.2210048752137625,"spread":0.2139782668577045,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008821986,0.0004088421,0.0002986501,0.000858251,0.0001813778,0.000293597,0.0003719539,0.0004519241,0.000588346],"category_scores_gemma":[0.001932605,0.000114217,0.0005020043,0.0003481871,0.0002713041,0.0002452203,0.0002468838,0.0002974359,0.0001377183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004719315,"about_ca_system_score_gemma":0.0003301099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003366905,"about_ca_topic_score_gemma":0.001982375,"domain_scores_codex":[0.9997712,0.00003818073,0.00001214619,0.00004482105,0.0000839596,0.00004981767],"domain_scores_gemma":[0.9984939,0.0008619099,0.0003078186,0.00007704871,0.0002015121,0.00005775995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000423926,0.000118888,0.08331548,0.0001600291,0.0001144305,0.0004831305,0.0002863425,0.8412799,0.02647548,0.001941205,0.0003160346,0.04508519],"study_design_scores_gemma":[0.000002434562,0.0003229804,0.02615809,0.000009149308,0.00002513991,0.0001498789,0.00007798376,0.9669134,0.005655227,0.0004851188,0.0001806892,0.00001989801],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499193,0.0003929626,0.04874633,0.00004109584,0.000006955535,0.00001836217,0.0002032705,0.0001176514,0.0005542045],"genre_scores_gemma":[0.998193,0.00006165678,0.001265826,0.000003182167,0.000001791352,0.0000104385,0.0001577948,0.000005205678,0.0003011618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003366905,"threshold_uncertainty_score":0.006694615,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2954595837","doi":"10.1016/j.procir.2019.04.132","title":"Remanufacturing Network Design for Dual-Channel Closed-Loop Supply Chain","year":2019,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Remanufacturing; Supply chain; Closed loop; Profit (economics); Reverse logistics; Supply chain network; Channel (broadcasting); Business; Dual (grammatical number); Industrial organization; Computer science; Supply chain management; Manufacturing engineering; Operations research; Engineering; Microeconomics; Marketing; Economics; Computer network; Control engineering","authors":[{"name":"Chao Chen","is_ca":false},{"name":"Guoqing Zhang","is_ca":true},{"name":"Jianmai Shi","is_ca":false},{"name":"Yangsheng Xia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01607756654203466,"gpt":0.2106445973298166,"spread":0.1945670307877819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009163098,0.001138774,0.0007163163,0.0007298267,0.0006410708,0.001402019,0.001435343,0.001516812,0.00456074],"category_scores_gemma":[0.001290473,0.0004965814,0.0006970529,0.000686418,0.0007218128,0.001236963,0.001151851,0.0008911921,0.0004687957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910645,"about_ca_system_score_gemma":0.001449827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005569112,"about_ca_topic_score_gemma":0.005201683,"domain_scores_codex":[0.9992651,0.000230906,0.00002197783,0.0001836297,0.00018733,0.0001109764],"domain_scores_gemma":[0.9993917,0.0002303051,0.0001276953,0.00002326565,0.0001860656,0.00004096975],"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":[0.00006060931,0.00004221055,0.0002888906,0.00009131628,0.00001672059,0.0001181679,0.00006322267,0.9727006,0.00274607,0.01093422,0.000531809,0.01240621],"study_design_scores_gemma":[0.000005088899,0.00004221375,0.00003589656,0.000006321296,0.000007005189,0.00001534303,0.00001756445,0.9966097,0.0003959467,0.002286655,0.0005736878,0.000004546173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02189768,0.0003637882,0.9647595,0.0002259068,0.00004089468,0.0001045627,0.00007352189,0.0001345135,0.01239973],"genre_scores_gemma":[0.8672389,0.0006446747,0.1212378,0.0001127015,0.00003920652,0.0003363042,0.000155434,0.00005500174,0.01017997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005569112,"threshold_uncertainty_score":0.01525718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2331801395","doi":"10.1016/j.procir.2016.01.050","title":"Clusterization Economy as a Way to Build Sustainable Development of the Region","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Ministério da Educação e Ciência; Ontario Ministry of Economic Development and Innovation","keywords":"Sustainable development; Business; Economic geography; Economic system; Political science; Economics","authors":[{"name":"Vladimir Glinskiy","is_ca":false},{"name":"Lyudmila Serga","is_ca":false},{"name":"Ekaterina Chemezova","is_ca":false},{"name":"Kirill Zaykov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01532420122098123,"gpt":0.2507137734898389,"spread":0.2353895722688577,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001002398,0.0002027873,0.0002206453,0.001470143,0.001439471,0.002730345,0.0004135137,0.0003452213,0.003646389],"category_scores_gemma":[0.001219546,0.0001148208,0.000356082,0.001659084,0.001667272,0.001741673,0.002316198,0.0004260338,0.0003076451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156794,"about_ca_system_score_gemma":0.003396422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004123216,"about_ca_topic_score_gemma":0.004944123,"domain_scores_codex":[0.9992712,0.0003279506,0.00002693942,0.00009554991,0.0001750854,0.0001032451],"domain_scores_gemma":[0.9995782,0.00009004687,0.00007399513,0.0000840654,0.0001250439,0.00004877067],"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":[0.00004016213,0.00004475772,0.01229339,0.0002008731,0.00007565398,0.0002335952,0.00362743,0.01537263,0.001745578,0.8836013,0.004834624,0.07792993],"study_design_scores_gemma":[0.00002443483,0.0001903503,0.05310453,0.0004311343,0.000119992,0.0005797332,0.02183049,0.0407187,0.005574732,0.5745855,0.302762,0.00007843755],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3249868,0.002735383,0.3155763,0.006953001,0.0003127235,0.0005172778,0.0006584913,0.0003885062,0.3478715],"genre_scores_gemma":[0.9518263,0.001017624,0.03569837,0.0001086031,0.00003468477,0.0001564523,0.0001285122,0.00004181237,0.0109876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004123216,"threshold_uncertainty_score":0.01564872,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2901321022","doi":"10.1016/j.procir.2018.08.311","title":"A VR-based user interface for the upper limb rehabilitation","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Rehabilitation; Virtual reality; Adaptability; Interface (matter); Human–computer interaction; Software deployment; Computer science; Process (computing); User interface; Quality function deployment; Simulation; Engineering; Physical therapy; Medicine; Operations management; Software engineering","authors":[{"name":"Yanlin Shi","is_ca":true},{"name":"Qingjin Peng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0149469854381072,"gpt":0.3084593675075886,"spread":0.2935123820694814,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005250588,0.0008479669,0.0005945199,0.000715557,0.0002145831,0.0009004231,0.001123125,0.001064175,0.02995511],"category_scores_gemma":[0.001658115,0.0002690474,0.0007764435,0.0003833532,0.0001673234,0.0005939535,0.001093769,0.0008285018,0.009270956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001342746,"about_ca_system_score_gemma":0.0003081858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006195121,"about_ca_topic_score_gemma":0.0005772818,"domain_scores_codex":[0.9995275,0.00009960568,0.00005017285,0.00007358289,0.0002119679,0.00003728761],"domain_scores_gemma":[0.9995787,0.0001492032,0.0000281933,0.0000550869,0.000137288,0.00005152322],"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":[0.001068293,0.0005057223,0.001042097,0.001656663,0.0001506854,0.001373799,0.0009925511,0.003394293,0.2152762,0.008635025,0.08567558,0.680229],"study_design_scores_gemma":[0.0007298297,0.002373059,0.01634118,0.0008036508,0.0003777506,0.0117019,0.0002797838,0.07439765,0.09313247,0.006239181,0.7930093,0.0006142384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02157478,0.002348148,0.8941342,0.0004645637,0.0007254462,0.001385351,0.004257719,0.04730129,0.02780853],"genre_scores_gemma":[0.2112397,0.002183019,0.6989346,0.001568152,0.0003368379,0.002759615,0.005733367,0.003139924,0.07410477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02995511,"threshold_uncertainty_score":0.1002098,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2313380927","doi":"10.1016/j.procir.2016.01.045","title":"A Novel Technique to Achieve Sustainable Machining System","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Lubricant; Surface roughness; Mechanical engineering; Surface finish; Process engineering; Metalworking; Cutting fluid; Process (computing); Manufacturing engineering; Environmental pollution; Tool wear; Materials science; Engineering; Computer science; Environmental science; Composite material","authors":[{"name":"Rakesh Kumar Gunda","is_ca":false},{"name":"N. Suresh Kumar Reddy","is_ca":false},{"name":"Hossam A. Kishawy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004569730936166919,"gpt":0.2017837207974445,"spread":0.1972139898612776,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001533293,0.0002501114,0.0002622748,0.0002881204,0.000305995,0.0003908231,0.000497099,0.0004315457,0.001496196],"category_scores_gemma":[0.0001493248,0.0001596473,0.0002058794,0.0002305714,0.0003128797,0.0006430449,0.0005234016,0.0003787215,0.000631115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840425,"about_ca_system_score_gemma":0.0003196214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001787089,"about_ca_topic_score_gemma":0.0003108042,"domain_scores_codex":[0.9997291,0.00001568354,0.00001108569,0.00005639948,0.0001628973,0.00002483711],"domain_scores_gemma":[0.9999264,0.000008575605,0.00001595145,0.00001535434,0.0000255716,0.00000797589],"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":[0.00003879224,0.0000284108,0.0002781258,0.0001620498,0.000007606028,0.0001331461,0.0001017117,0.001961926,0.9521098,0.005404364,0.0004349777,0.03933909],"study_design_scores_gemma":[0.00004658743,0.001137167,0.002399106,0.00002499131,0.00002914219,0.001511379,0.0001367244,0.0679907,0.8504419,0.004453287,0.07177433,0.00005471523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3301218,0.003134836,0.6305202,0.0005389599,0.0002247532,0.0002701875,0.000166647,0.00181796,0.03320483],"genre_scores_gemma":[0.783024,0.000884313,0.2074935,0.0001262334,0.00004369754,0.0001395104,0.0001250865,0.00006711266,0.008096615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001496196,"threshold_uncertainty_score":0.0050053,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3167997049","doi":"10.1016/j.procir.2021.05.026","title":"Design and simulation of an automated robotic machining cell for cross-laminated timber panels","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Calgary; University of Alberta","funders":"Mitacs; University of Alberta","keywords":"Machining; Automation; Flexibility (engineering); Clamping; Engineering; Manufacturing engineering; Robot; Numerical control; Mechanical engineering; Computer science; Artificial intelligence","authors":[{"name":"Emanuel Martinez Villanueva","is_ca":true},{"name":"Harshavardhan Mamledesai","is_ca":true},{"name":"Pablo Martı́nez","is_ca":true},{"name":"Peyman Poostchi","is_ca":true},{"name":"Rafiq Ahmad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02163826391433478,"gpt":0.2892758200700045,"spread":0.2676375561556698,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002860258,0.0005124774,0.0005400183,0.0003841351,0.0005659685,0.001055048,0.001004979,0.001508011,0.006043087],"category_scores_gemma":[0.0005165039,0.0003687239,0.0006599576,0.0002712676,0.0005121141,0.0003241879,0.0004703121,0.0004117519,0.0005716044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005589973,"about_ca_system_score_gemma":0.001191854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009875565,"about_ca_topic_score_gemma":0.007286528,"domain_scores_codex":[0.9998592,0.0000233958,0.000006710082,0.00002443171,0.00005337323,0.00003282393],"domain_scores_gemma":[0.9997284,0.0001185624,0.00003875903,0.00002260742,0.00005603166,0.00003568579],"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":[0.00004624838,0.00003410178,0.000713757,0.00005458489,0.000006953376,0.0001045469,0.00003965621,0.9930571,0.002520016,0.0008317064,0.0001734671,0.002417867],"study_design_scores_gemma":[0.0000199418,0.00005667696,0.0002642409,0.000007321199,0.000006213551,0.00001762358,0.00003277762,0.9974447,0.001007018,0.000157711,0.0009800197,0.000005816592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6595511,0.0005492357,0.2706436,0.0004453402,0.0002081491,0.0005537065,0.00146957,0.001798108,0.06478129],"genre_scores_gemma":[0.9520826,0.000200893,0.04091986,0.00003693454,0.000006544418,0.0003035075,0.0003713102,0.00006196772,0.00601641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009875565,"threshold_uncertainty_score":0.02021611,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3087775605","doi":"10.1016/j.procir.2020.04.044","title":"A Genetic Algorithm-Based Model for Product Platform Design for Hybrid Manufacturing","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Variety (cybernetics); Product proliferation; Product (mathematics); Genetic algorithm; Order (exchange); Manufacturing engineering; Build to order; Product design; Computer science; Engineering; New product development; Industrial engineering; Mathematics; Artificial intelligence; Production (economics); Product management; Machine learning; Business","authors":[{"name":"Mostafa Moussa","is_ca":true},{"name":"Hoda ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04856195270829058,"gpt":0.216345989217419,"spread":0.1677840365091284,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005971367,0.00106641,0.0008357139,0.0008966202,0.0005824241,0.001488363,0.001767116,0.002048913,0.004636385],"category_scores_gemma":[0.001121442,0.0004984116,0.001064483,0.00114084,0.0007709225,0.0007270163,0.0007384666,0.0009937235,0.0005681983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583695,"about_ca_system_score_gemma":0.001711718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01716015,"about_ca_topic_score_gemma":0.01004322,"domain_scores_codex":[0.9996896,0.0001015273,0.00001290402,0.00006013157,0.00009701823,0.00003888199],"domain_scores_gemma":[0.9997417,0.0001472381,0.00003062368,0.00001075753,0.00005589055,0.00001376376],"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":[0.000006233098,0.000008772065,0.00006179259,0.00001363378,0.000006607781,0.00002417766,0.00001065175,0.9931539,0.0002593918,0.003611694,0.0001116024,0.0027315],"study_design_scores_gemma":[0.000004663268,0.00001065685,0.00002179027,0.000003860119,0.000003785382,0.000005899742,0.000002625994,0.9983124,0.0000689301,0.001227377,0.0003353477,0.000002673184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0103839,0.0003393641,0.9772261,0.0001882187,0.00004031807,0.00009739055,0.00009794708,0.0001768611,0.01144978],"genre_scores_gemma":[0.6351306,0.0009500966,0.3491552,0.0001309395,0.00003689966,0.001071859,0.0003267442,0.00008477581,0.01311291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01716015,"threshold_uncertainty_score":0.0341205,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2050283576","doi":"10.1016/j.procir.2014.06.078","title":"Do-it-yourselfers as Lead users for Environmentally Conscious Behavior","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"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":"Resource (disambiguation); Lead (geology); Resource efficiency; Product (mathematics); Business; Risk analysis (engineering); Environmental economics; Computer science; Economics; Ecology","authors":[{"name":"Song-Liang Lai","is_ca":true},{"name":"L. H. Shu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01042869016508506,"gpt":0.267409663309287,"spread":0.2569809731442019,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002990198,0.000542521,0.0002519774,0.001366801,0.003385105,0.003934648,0.0006194279,0.001336962,0.009643411],"category_scores_gemma":[0.006086798,0.0003480422,0.0003194508,0.0007723531,0.002151295,0.002489241,0.00215809,0.001290216,0.001537041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00083788,"about_ca_system_score_gemma":0.001155991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140245,"about_ca_topic_score_gemma":0.005871032,"domain_scores_codex":[0.9973872,0.001382972,0.000110953,0.0002885388,0.0004489365,0.0003813878],"domain_scores_gemma":[0.9915733,0.003404268,0.00127429,0.000791566,0.001136964,0.001819658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002821957,0.001358754,0.3172251,0.0003015122,0.00003250638,0.002590498,0.5696427,0.0002558823,0.009005614,0.01197999,0.0051868,0.08213846],"study_design_scores_gemma":[0.0000690899,0.0006440363,0.1485459,0.0004064829,0.00009511711,0.004201906,0.7161668,0.003047609,0.005196587,0.006102899,0.1153356,0.0001879454],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699192,0.0002564701,0.006712368,0.0007592944,0.00003749298,0.0001337231,0.00005566972,0.0001278072,0.02199801],"genre_scores_gemma":[0.9875435,0.0001318123,0.003680479,0.0004703701,0.00001302513,0.0000788754,0.00005328595,0.00004327212,0.007985384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009643411,"threshold_uncertainty_score":0.03226042,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2423064448","doi":"10.1016/j.procir.2016.02.074","title":"Development of a Procedure to Characterize Residual Stresses Induced by Drilling","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Safran Electronics (Canada)","funders":"Centre Technique des Industries Mécaniques","keywords":"Residual stress; Hole drilling method; Deep hole drilling; Residual; Drilling; Materials science; Diffractometer; Electropolishing; Strain gauge; Microstructure; Characterization (materials science); Sample (material); Structural material; Structural engineering; Composite material; Computer science; Metallurgy; Engineering; Algorithm; Physics; Scanning electron microscope; Nanotechnology","authors":[{"name":"Mathieu Girinon","is_ca":true},{"name":"Frédéric Valiorgue","is_ca":false},{"name":"J. Rech","is_ca":false},{"name":"Éric Feulvarch","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01976450836546139,"gpt":0.2297082626266468,"spread":0.2099437542611854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007164116,0.0005558332,0.0003943829,0.0008559839,0.0002454465,0.0003710993,0.0007580702,0.0005715591,0.001171383],"category_scores_gemma":[0.001580459,0.0003415214,0.0003053475,0.0004604841,0.0004204343,0.000610659,0.0003678658,0.000702654,0.0006072121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002122898,"about_ca_system_score_gemma":0.0007555431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008690779,"about_ca_topic_score_gemma":0.001064169,"domain_scores_codex":[0.999485,0.00004173209,0.00003319275,0.00008200778,0.0003249719,0.00003301028],"domain_scores_gemma":[0.9991542,0.0002250121,0.0001211852,0.0001838088,0.0002980921,0.0000176909],"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":[0.00008019755,0.00007128573,0.002684449,0.0003738915,0.00002003884,0.0001005522,0.0002016822,0.0129462,0.8848958,0.003470964,0.0004413887,0.09471355],"study_design_scores_gemma":[0.00001632718,0.0005848809,0.00832969,0.00004766342,0.00002709152,0.0004183609,0.0001326536,0.09294123,0.8852391,0.00234047,0.009839437,0.00008312244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04961289,0.000287905,0.9472054,0.00003715009,0.00003213049,0.0001917201,0.0002649722,0.001223109,0.001144643],"genre_scores_gemma":[0.4576017,0.0007516323,0.5389982,0.00003910286,0.00001225607,0.0003755584,0.000481654,0.0002292358,0.001510729],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001171383,"threshold_uncertainty_score":0.003918648,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041643410","doi":"10.1016/j.procir.2013.05.020","title":"A Game Theoretic Model to Manufacturing Planning with Single Manufacturer and Multiple Suppliers with Asymmetric Quality Information","year":2013,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Quality (philosophy); Manufacturing engineering; Business; Game theory; Computer science; Process management; Operations management; Engineering; Economics; Microeconomics","authors":[{"name":"Sisi Yin","is_ca":false},{"name":"Tatsushi Nishi","is_ca":false},{"name":"Guoqing Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01839341368116529,"gpt":0.2080952847726016,"spread":0.1897018710914363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002074592,0.001952644,0.001615439,0.001206107,0.001095482,0.002411247,0.003291651,0.003189666,0.005623902],"category_scores_gemma":[0.003435341,0.0009717668,0.001227163,0.00189848,0.002314731,0.003112926,0.001658716,0.002200405,0.0006249272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003841206,"about_ca_system_score_gemma":0.002498466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01075367,"about_ca_topic_score_gemma":0.007069446,"domain_scores_codex":[0.997699,0.001237632,0.00007181113,0.0004253098,0.0003205352,0.0002457499],"domain_scores_gemma":[0.9982088,0.001099213,0.0003077861,0.00007394176,0.0001728366,0.0001375185],"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":[0.00005449894,0.00005939037,0.0002738128,0.00007346991,0.00004548531,0.0003631915,0.0001526543,0.8082216,0.0006002195,0.1848665,0.0009500539,0.004339064],"study_design_scores_gemma":[0.00004376,0.00005825878,0.0001249785,0.00001083311,0.00001726003,0.00006246477,0.00005458223,0.9443952,0.00009467378,0.05369131,0.001429531,0.00001706576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01992575,0.000333487,0.9644386,0.00121092,0.00007798188,0.0001615571,0.0003001581,0.000112192,0.0134393],"genre_scores_gemma":[0.8331749,0.001151012,0.1488736,0.0004031493,0.0002015106,0.0006711307,0.000295053,0.00005046419,0.01517913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01075367,"threshold_uncertainty_score":0.02787006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2593806599","doi":"10.1016/j.procir.2016.10.125","title":"Theoretical Assessment of Different Ultrasonic Configurations for Delamination Defects Detection in Composite Components","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université Laval","funders":"","keywords":"Delamination (geology); Composite number; Ultrasonic sensor; Materials science; Composite material; Ultrasonic testing; Acoustics; Structural engineering; Engineering; Geology; Physics; Seismology","authors":[{"name":"Vassilios Kappatos","is_ca":false},{"name":"Georgios Asfis","is_ca":false},{"name":"Konstantinos Salonitis","is_ca":false},{"name":"V. Tzitzilonis","is_ca":false},{"name":"Nicolas P. Avdelidis","is_ca":true},{"name":"Eleni Cheilakou","is_ca":false},{"name":"Panagiotis Theodorakeas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01059228580504624,"gpt":0.2548524806007906,"spread":0.2442601947957444,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612001,0.0004435579,0.0002870491,0.000761664,0.0001755793,0.0005213691,0.0006066545,0.0006496995,0.001255312],"category_scores_gemma":[0.002197717,0.0003483593,0.0002875066,0.0003082096,0.0005875354,0.0003838139,0.0003676979,0.0001898481,0.000245024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042733,"about_ca_system_score_gemma":0.0002338835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002738895,"about_ca_topic_score_gemma":0.0003173517,"domain_scores_codex":[0.9997113,0.00009536026,0.000009471246,0.00004498082,0.0001079934,0.00003096411],"domain_scores_gemma":[0.9989735,0.0007802827,0.00008033883,0.00005350577,0.00009262088,0.00001975039],"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":[0.0004358506,0.00008642423,0.004808169,0.0004289404,0.00002733646,0.0003683123,0.0003096221,0.7593325,0.1640629,0.02228534,0.0003297102,0.04752483],"study_design_scores_gemma":[0.00001142912,0.0002031475,0.001523603,0.00003880997,0.00002440109,0.0001988102,0.0001006043,0.9603847,0.03444837,0.002600929,0.0004469253,0.0000183251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3799559,0.001111337,0.6062637,0.0001783489,0.0000135126,0.00008643038,0.00009600496,0.0004599123,0.01183481],"genre_scores_gemma":[0.9767917,0.0003723582,0.02231328,0.00001028365,0.000005146031,0.00005364272,0.00002770686,0.00001725837,0.0004085684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001255312,"threshold_uncertainty_score":0.004199386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2044133977","doi":"10.1016/j.procir.2014.01.124","title":"Grouping Product Variants based on Alternate Machines for Each Operation","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Product (mathematics); Computer science; Computational biology; Engineering; Manufacturing engineering; Biology; Mathematics","authors":[{"name":"Javad Navaei","is_ca":true},{"name":"Hoda ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01260367878760567,"gpt":0.2144035378554539,"spread":0.2017998590678482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007540898,0.0009038691,0.0008902094,0.003675396,0.0009948446,0.001600493,0.001337838,0.0005688751,0.003235606],"category_scores_gemma":[0.003375788,0.0004347397,0.001181378,0.003884583,0.001005938,0.001900556,0.001260749,0.0005888217,0.000966396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007400178,"about_ca_system_score_gemma":0.001203412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005328777,"about_ca_topic_score_gemma":0.005235314,"domain_scores_codex":[0.9983748,0.0002114057,0.0001485575,0.0004967077,0.0006507942,0.0001176768],"domain_scores_gemma":[0.9983789,0.0003103432,0.0002107509,0.0003851768,0.0006309123,0.00008391483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005858893,0.0001656954,0.02032999,0.0007149304,0.0002183891,0.0008164551,0.001341981,0.1049668,0.04275792,0.03423305,0.006499726,0.7873691],"study_design_scores_gemma":[0.0000782168,0.0006722873,0.03061212,0.000134216,0.0003687946,0.002431804,0.00169682,0.8037074,0.04983723,0.04852175,0.06160347,0.0003358861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08131421,0.00037947,0.9096709,0.0001065066,0.00009597634,0.0004035797,0.0005211907,0.001216474,0.006291624],"genre_scores_gemma":[0.2650569,0.0002367569,0.729572,0.00001997958,0.00002434325,0.0002441259,0.001188722,0.0001964687,0.003460702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005328777,"threshold_uncertainty_score":0.0108242,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2509953608","doi":"10.1016/j.procir.2016.07.068","title":"Impact of Product Platform and Market Demand on Manufacturing System Performance and Production Cost","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","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 Windsor","funders":"","keywords":"Scalability; Product (mathematics); Production (economics); Manufacturing engineering; Order (exchange); Build to order; Order processing; Product design specification; Product design; Engineering; Event (particle physics); Computer science; Business; Marketing; Supply chain; Database","authors":[{"name":"Sufian Kifah Aljorephani","is_ca":true},{"name":"Hoda ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01022445752425527,"gpt":0.1982087731702059,"spread":0.1879843156459507,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402006,0.0005171692,0.0004072859,0.0006334136,0.0003299586,0.001171393,0.0005435222,0.0005826936,0.003708296],"category_scores_gemma":[0.00683714,0.0003364719,0.000347814,0.0006528153,0.0003328669,0.001546604,0.0004846989,0.0004991388,0.0003566987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211615,"about_ca_system_score_gemma":0.0005745969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002803411,"about_ca_topic_score_gemma":0.002050443,"domain_scores_codex":[0.9989464,0.0003169451,0.00004756939,0.0001170746,0.0004129818,0.0001591874],"domain_scores_gemma":[0.9908087,0.007275168,0.0006242688,0.0003516961,0.0007260274,0.0002141778],"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":[0.003303814,0.001234735,0.07396105,0.0002339784,0.0001187679,0.001037634,0.0003400935,0.817634,0.04215557,0.003262004,0.0008629233,0.05585537],"study_design_scores_gemma":[0.0000649038,0.00119314,0.05898921,0.00001396977,0.00006762071,0.0002400602,0.0005705105,0.9189395,0.01817417,0.0008313504,0.0008487844,0.00006677123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953825,0.00004381209,0.001666527,0.00004770061,0.00000342107,0.00001065575,0.00006998349,0.00003323076,0.002742204],"genre_scores_gemma":[0.9992506,0.00001864626,0.0004387909,0.000004806099,0.000001064106,0.000006495116,0.00004859797,0.000008381626,0.0002225328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003708296,"threshold_uncertainty_score":0.01240551,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285305606","doi":"10.1016/j.procir.2022.04.080","title":"Electropolishing of 316L stainless steel parts elaborated by selective laser melting: from laboratory to pilot scale","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Electropolishing; Materials science; Dissolution; Selective laser melting; Surface roughness; Surface finish; Metallurgy; Surface finishing; Electrolyte; Composite material; Electrode; Microstructure; Chemical engineering","authors":[{"name":"Marie‐Laure Doche","is_ca":false},{"name":"Jean‐Yves Hihn","is_ca":false},{"name":"Estelle Drynski","is_ca":false},{"name":"Florian Roy","is_ca":false},{"name":"Aurélien Boucher","is_ca":true},{"name":"Jason Rolet","is_ca":false},{"name":"Joffrey Tardelli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005600552292168969,"gpt":0.1934891927995108,"spread":0.1878886405073418,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004250949,0.0004645167,0.0004148829,0.0003698087,0.0002098457,0.0003380656,0.0004347784,0.0005067142,0.001028508],"category_scores_gemma":[0.0006506228,0.0002302129,0.00047808,0.0003655686,0.0003864681,0.000306506,0.0004202664,0.00060294,0.0005413399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379402,"about_ca_system_score_gemma":0.0002202837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003295355,"about_ca_topic_score_gemma":0.0006799822,"domain_scores_codex":[0.9996604,0.00004153602,0.00002726104,0.00006762878,0.0001579091,0.0000452202],"domain_scores_gemma":[0.9996368,0.00007972754,0.00009533424,0.00008122532,0.0000775632,0.00002933278],"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":[0.00003943285,0.0000304903,0.0001283653,0.00007105024,0.000004829822,0.00007531632,0.0000428423,0.0001286061,0.9967113,0.00002752258,0.00002524304,0.002715088],"study_design_scores_gemma":[0.000004692076,0.000549885,0.001538812,0.000004945763,0.00001332773,0.0001087673,0.00001923872,0.0003362726,0.9965582,0.00001333608,0.0008475187,0.000005036989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846245,0.0005255209,0.01322713,0.00003794447,0.00002051177,0.0001352936,0.0002482525,0.0002105034,0.0009702919],"genre_scores_gemma":[0.9773538,0.0004624478,0.02024811,0.00002591617,0.00001138908,0.00007993514,0.0002818941,0.00008256919,0.001453981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028508,"threshold_uncertainty_score":0.003440678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001457103","doi":"10.1016/j.procir.2014.01.133","title":"Max-plus Modeling of Manufacturing Flow Lines","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Manufacturing engineering; Flow (mathematics); Engineering; Computer science; Industrial engineering; Engineering drawing; Mechanics; Physics","authors":[{"name":"A. Seleim","is_ca":true},{"name":"H.A. ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02539534410123603,"gpt":0.2381404083782493,"spread":0.2127450642770133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000552869,0.001001643,0.0005967794,0.0005484714,0.0005454542,0.001288239,0.00123276,0.0006778364,0.007532272],"category_scores_gemma":[0.001135203,0.0005207048,0.001071302,0.000720287,0.0007314814,0.001315786,0.0007299369,0.0009716756,0.001225429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015372,"about_ca_system_score_gemma":0.000901209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005518855,"about_ca_topic_score_gemma":0.003959052,"domain_scores_codex":[0.9996136,0.00009215072,0.00002649846,0.00007600713,0.0001471069,0.0000447708],"domain_scores_gemma":[0.9996288,0.000178253,0.00006494913,0.00003207179,0.00007644024,0.00001950398],"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":[0.00002920674,0.00001853297,0.000165333,0.00005978511,0.00001184452,0.00008139657,0.00007207879,0.8718376,0.002526381,0.1163931,0.0005658924,0.008238862],"study_design_scores_gemma":[0.000005028292,0.00001106181,0.00002662248,0.000004555643,0.000004262031,0.00001256181,0.000006002029,0.9783881,0.0009576419,0.01768306,0.002896205,0.000004905025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006577985,0.00009583223,0.9791324,0.00007085728,0.00003627121,0.00004405364,0.0002384428,0.0004825413,0.01332159],"genre_scores_gemma":[0.5787271,0.0006317149,0.3821744,0.0001427688,0.00006971904,0.000558264,0.0008491622,0.0003586172,0.0364883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007532272,"threshold_uncertainty_score":0.02519792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033538522","doi":"10.1016/j.procir.2014.03.116","title":"Design Method of Under-body Platform Automotive Framing Systems","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"","keywords":"Automotive industry; Framing (construction); Engineering; Computer science; Systems engineering; Manufacturing engineering; Automotive engineering; Aerospace engineering; Structural engineering","authors":[{"name":"Abdo Al-Zaher","is_ca":true},{"name":"Waguih ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02460185849545938,"gpt":0.2362558819750661,"spread":0.2116540234796067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005774364,0.0005544944,0.0003249175,0.0007970071,0.0007094746,0.001001835,0.0006962012,0.0005081831,0.009445012],"category_scores_gemma":[0.0007270167,0.0003020309,0.0006110552,0.0002833253,0.0005176841,0.0005009065,0.0007649332,0.0003867443,0.0009801978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006025749,"about_ca_system_score_gemma":0.001014115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002693546,"about_ca_topic_score_gemma":0.002168878,"domain_scores_codex":[0.999236,0.0002055932,0.00003903231,0.0001344896,0.0003307902,0.00005407546],"domain_scores_gemma":[0.9997401,0.00005614689,0.00002540222,0.00004230663,0.0001240914,0.00001202296],"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":[0.000150504,0.0001332146,0.003304451,0.0009533889,0.00006963959,0.0009118268,0.001922171,0.3421826,0.1009554,0.1715066,0.004547202,0.373363],"study_design_scores_gemma":[0.00005610945,0.0002909648,0.0009492774,0.00009790852,0.00005374105,0.0003421472,0.0002937565,0.9034194,0.02842516,0.0175998,0.04843946,0.00003217728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01145627,0.00006655022,0.9779946,0.00005405068,0.00003019434,0.0001969835,0.00003581579,0.0003271533,0.009838413],"genre_scores_gemma":[0.4389251,0.0002091162,0.5440586,0.00004751431,0.00002579635,0.0005242439,0.0001699529,0.0001207572,0.01591892],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009445012,"threshold_uncertainty_score":0.03159672,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2513584315","doi":"10.1016/j.procir.2016.07.069","title":"Functional Synthesis of Manufacturing Systems Using Co-platforming","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Canada Research Chairs","keywords":"Engineering; Automotive industry; Flexible manufacturing system; Manufacturing engineering; Product (mathematics); Capital investment; Scheduling (production processes); Integer programming; Computer science; Algorithm","authors":[{"name":"Mohamed Abbas","is_ca":true},{"name":"Hoda ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02686990684903443,"gpt":0.2074905396127198,"spread":0.1806206327636854,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006674805,0.001035522,0.0006511578,0.0005674993,0.0004145504,0.0009653323,0.0008023389,0.0006644749,0.002721896],"category_scores_gemma":[0.001131404,0.0004189977,0.001320772,0.0004313469,0.0006982383,0.0005938525,0.0009681987,0.0007846734,0.0004636589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007979866,"about_ca_system_score_gemma":0.0009789977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014345,"about_ca_topic_score_gemma":0.002300192,"domain_scores_codex":[0.9993758,0.0001341123,0.00003609605,0.0001663849,0.000208346,0.0000792756],"domain_scores_gemma":[0.9994755,0.0002706258,0.00008405437,0.00006956487,0.00008124375,0.00001906703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002562349,0.00002702393,0.0001474392,0.00009969733,0.00001932761,0.00009475356,0.00005758132,0.9504319,0.01004431,0.01778947,0.0001702743,0.02109264],"study_design_scores_gemma":[0.000008409089,0.00007801379,0.00005614601,0.000009746687,0.0000123436,0.00003171693,0.000008956099,0.9861812,0.004775509,0.007018563,0.001812636,0.000006865635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009997685,0.0001188145,0.983517,0.00005228756,0.00002536995,0.00007188888,0.00003995438,0.0003063387,0.005870664],"genre_scores_gemma":[0.6436988,0.0002987098,0.3493029,0.00006763903,0.00002366039,0.0004408024,0.0001847277,0.0001184692,0.005864278],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003014345,"threshold_uncertainty_score":0.009105682,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2330001583","doi":"10.1016/j.procir.2016.01.088","title":"Towards a Sustainable Disassembly/Dismantling in Aerospace Industry","year":2016,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerospace; Sustainability; Process (computing); Work (physics); Quality (philosophy); Manufacturing engineering; Engineering; Systems engineering; Computer science; Mechanical engineering; Aerospace engineering","authors":[{"name":"Mahdi Sabaghi","is_ca":true},{"name":"Yongliang Cai","is_ca":true},{"name":"Christian Mascle","is_ca":true},{"name":"Pierre Baptiste","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006646824229972366,"gpt":0.2061600353086376,"spread":0.1995132110786652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008228936,0.0006062259,0.000404759,0.000879932,0.000347944,0.001296233,0.0003628935,0.0006152,0.0006892033],"category_scores_gemma":[0.0004084582,0.0002499164,0.0005914597,0.0009150644,0.0004070831,0.0006167041,0.0005377347,0.0003197659,0.0002554213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007422288,"about_ca_system_score_gemma":0.001026268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002909621,"about_ca_topic_score_gemma":0.004010851,"domain_scores_codex":[0.999556,0.0001168804,0.00002501844,0.00006041223,0.0001927492,0.00004889127],"domain_scores_gemma":[0.999844,0.0000300514,0.00003957218,0.00001481691,0.00006312795,0.000008440459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002057362,0.0003471964,0.01331866,0.0008199434,0.00009306246,0.0003737333,0.0003681877,0.4926591,0.2645698,0.01472302,0.000606678,0.2119149],"study_design_scores_gemma":[0.00003903883,0.001199777,0.01998769,0.000154872,0.0001500987,0.0003493425,0.001273523,0.7055604,0.2359904,0.01475803,0.02046532,0.0000714726],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5692255,0.003871894,0.4154465,0.0003867235,0.00002470968,0.00009272286,0.00007810238,0.0001997103,0.01067409],"genre_scores_gemma":[0.841698,0.002234339,0.1541616,0.0000474659,0.000004248614,0.00005346061,0.00007298633,0.00004339628,0.001684627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909621,"threshold_uncertainty_score":0.005785346,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3067746826","doi":"10.1016/j.procir.2020.05.185","title":"Geometric Tolerance Characterization of Laser Powder Bed Fusion Processes Based on Skin Model Shapes","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Alberta Energy","funders":"","keywords":"Geometric dimensioning and tolerancing; Dimensioning; Fusion; Geometric shape; Geometric modeling; Characterization (materials science); Shrinkage; Materials science; Geometric design; Computer science; Mechanical engineering; Biological system; Engineering drawing; Geometry; Mathematics; Engineering; Composite material; Nanotechnology","authors":[{"name":"Baltej Singh Rupal","is_ca":true},{"name":"Nabil Anwer","is_ca":false},{"name":"Marc Secanell","is_ca":true},{"name":"Ahmed Jawad Qureshi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01159972114326192,"gpt":0.191978611090944,"spread":0.1803788899476821,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006964875,0.0005391095,0.0004045441,0.0008522731,0.0001785459,0.0007305456,0.0005255165,0.0005337921,0.0007742838],"category_scores_gemma":[0.001895029,0.000221295,0.00055277,0.0005939003,0.0005099567,0.0004520885,0.0005444776,0.0003197802,0.0002074042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000467265,"about_ca_system_score_gemma":0.000347472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008186752,"about_ca_topic_score_gemma":0.0007747724,"domain_scores_codex":[0.9993435,0.000077781,0.00003247129,0.00009645335,0.0003933253,0.00005643905],"domain_scores_gemma":[0.998695,0.0004785226,0.0003388392,0.0002623818,0.0001919234,0.00003345888],"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":[0.0004366139,0.0001286848,0.0103843,0.0002850172,0.00003478379,0.0002653402,0.000389181,0.7004876,0.2052449,0.003179989,0.0003845771,0.07877898],"study_design_scores_gemma":[0.000009982291,0.0003714367,0.009745507,0.00001769057,0.00001962063,0.000228714,0.0001175931,0.8255854,0.1618063,0.0009548457,0.001090629,0.00005225624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7506447,0.0003948162,0.2434507,0.00004704735,0.00001524649,0.00007433994,0.0002805786,0.000617981,0.004474542],"genre_scores_gemma":[0.9797285,0.00008737183,0.01970357,0.000005143533,0.000002082634,0.00001944189,0.0001424082,0.00003920724,0.0002722514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008522731,"threshold_uncertainty_score":0.003683388,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2612535735","doi":"10.1016/j.procir.2017.01.012","title":"Continuing Education and Personalization of Design Methods to Improve their Acceptance in Practice – An Explorative Study","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Design Education and Practice","field":"Engineering","cited_by":11,"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":"","keywords":"Personalization; Modular programming; Computer science; Control (management); Knowledge management; Design methods; Engineering management; Engineering; Management science; Artificial intelligence","authors":[{"name":"Selin Üreten","is_ca":false},{"name":"Gregor Beckmann","is_ca":false},{"name":"Eilika Schwenke","is_ca":false},{"name":"Dieter Krause","is_ca":false},{"name":"Shi Cao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05344853071334454,"gpt":0.3978582196737088,"spread":0.3444096889603643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03422034,0.000628905,0.0006362424,0.001781691,0.001599678,0.003637359,0.001579202,0.001631132,0.002698938],"category_scores_gemma":[0.08642733,0.0005520849,0.0006667472,0.0009717103,0.002312767,0.002812961,0.002478003,0.001821571,0.0003668848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596104,"about_ca_system_score_gemma":0.002842269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000492811,"about_ca_topic_score_gemma":0.0007310793,"domain_scores_codex":[0.9781365,0.01373594,0.001404781,0.001506787,0.00400205,0.001213877],"domain_scores_gemma":[0.8854232,0.08789662,0.006001474,0.009257441,0.008931356,0.002489781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004499645,0.009360799,0.07111856,0.001700229,0.00009774265,0.0009229218,0.5235202,0.0006485176,0.01298742,0.003799381,0.001295505,0.3740987],"study_design_scores_gemma":[0.0005314872,0.02455462,0.3190734,0.002840883,0.0004665239,0.003922876,0.5008247,0.007058275,0.03383057,0.006992836,0.09944693,0.0004568378],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911709,0.0002261537,0.003677233,0.0002338833,0.00001667025,0.0008058376,0.00001439334,0.00002817792,0.003826789],"genre_scores_gemma":[0.9819496,0.0003886177,0.01424686,0.000145405,0.00002374868,0.0006851925,0.00002990969,0.00001991955,0.002510619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03422034,"threshold_uncertainty_score":0.1809766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4407955578","doi":"10.1016/j.procir.2024.09.004","title":"Optimizing the properties of PHBV/PBAT blend for additive manufacturing","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"Genesis HealthCare System; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Business; Process engineering; Engineering","authors":[{"name":"Shafahat Ali","is_ca":true},{"name":"Ibrahim Deiab","is_ca":true},{"name":"Salman Pervaiz","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01542612038316867,"gpt":0.213116270203329,"spread":0.1976901498201603,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322287,0.0005380664,0.0003101655,0.0004799068,0.0001837222,0.0006609336,0.0001760686,0.0003084145,0.0007326943],"category_scores_gemma":[0.0002915946,0.0001959196,0.0003033512,0.0004751187,0.0001319262,0.0003834736,0.0001680284,0.0003161936,0.0004336321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003238222,"about_ca_system_score_gemma":0.0001646453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004516155,"about_ca_topic_score_gemma":0.001359334,"domain_scores_codex":[0.9997916,0.0000242874,0.00002012431,0.00004261063,0.00009488737,0.00002652925],"domain_scores_gemma":[0.9998876,0.00003257826,0.0000322963,0.000007795463,0.00003043615,0.000009272008],"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":[0.00002411884,0.00001520653,0.0002304886,0.00005338557,0.000004529057,0.00003248747,0.00001121201,0.000921028,0.993858,0.0000545375,0.00001390399,0.004781052],"study_design_scores_gemma":[0.000001765708,0.00006908587,0.0007694503,0.000003849628,0.00001071723,0.00004739612,0.000009588483,0.001720796,0.9965357,0.00002664761,0.0007999819,0.0000049913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9408067,0.003742239,0.04940264,0.00008574519,0.00004469544,0.00008835581,0.0002896482,0.0002811318,0.005258868],"genre_scores_gemma":[0.967468,0.001760675,0.02868133,0.00003659927,0.00000892106,0.00005152693,0.0001973515,0.00009943856,0.001696212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007326943,"threshold_uncertainty_score":0.002451122,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2044612972","doi":"10.1016/j.procir.2014.01.072","title":"Robust Metaheuristics for Scheduling Cellular Flowshop with Family Sequence-Dependent Setup Times","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Scheduling and Optimization Algorithms","field":"Engineering","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 Manitoba","funders":"","keywords":"Metaheuristic; Particle swarm optimization; Mathematical optimization; Flow shop scheduling; Job shop scheduling; Computer science; Minification; Scheduling (production processes); Robustness (evolution); Profitability index; Algorithm; Mathematics; Schedule","authors":[{"name":"Al-Mehdi M. Ibrahem","is_ca":true},{"name":"Tarek Y. ElMekkawy","is_ca":false},{"name":"Qingjin Peng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02555913918458076,"gpt":0.214669913453017,"spread":0.1891107742684363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411342,0.0008462955,0.0006993659,0.0007793668,0.0003040296,0.0006226104,0.0006286816,0.0008264087,0.0005917964],"category_scores_gemma":[0.002063013,0.0003786789,0.000774265,0.0007361177,0.0004269398,0.0004487639,0.0003809778,0.0006490716,0.00008901749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007721816,"about_ca_system_score_gemma":0.0009272228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003063895,"about_ca_topic_score_gemma":0.002341426,"domain_scores_codex":[0.9996762,0.0001357946,0.00001902838,0.00003838483,0.00008778201,0.00004272873],"domain_scores_gemma":[0.9993216,0.0003948396,0.0001609291,0.00003584923,0.00006084484,0.00002590158],"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":[0.00003037273,0.00002395156,0.0001481546,0.00002461848,0.00003315876,0.00001661644,0.000009843002,0.9890358,0.001389064,0.001656062,0.0001089617,0.007523311],"study_design_scores_gemma":[0.000008745027,0.00004367667,0.00008300557,0.000003471234,0.000007927621,0.000007137088,0.000005071598,0.9983456,0.0004750823,0.0008425256,0.0001749277,0.000002785841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1144916,0.001079532,0.8802252,0.0001831959,0.00007325897,0.0001077933,0.0000897437,0.0002844118,0.003465218],"genre_scores_gemma":[0.8427336,0.0004026438,0.1555572,0.00007621743,0.00002777074,0.0001774735,0.00009678715,0.00005056041,0.0008778418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003063895,"threshold_uncertainty_score":0.006092131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2892146436","doi":"10.1016/j.procir.2018.08.120","title":"Helical drilling of three-dimensional conical converging-diverging nozzle in steel using ultrashort laser pulses","year":2018,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Laser Material Processing Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Nozzle; Conical surface; Materials science; Laser drilling; Ultrashort pulse laser; Laser; Optics; Drilling; Mechanical engineering; Mechanics; Engineering; Metallurgy; Ultrashort pulse; Composite material; Physics","authors":[{"name":"Chao He","is_ca":false},{"name":"Jannik Bühring","is_ca":false},{"name":"Arnold Gillner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02068465973520113,"gpt":0.2504885053045738,"spread":0.2298038455693727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004330936,0.0002804296,0.0002325844,0.0002731648,0.0001772565,0.0003082105,0.0003485492,0.0004842205,0.0002860108],"category_scores_gemma":[0.0003979008,0.0002945766,0.0003048504,0.0002276827,0.0004648708,0.0002754498,0.0002946061,0.0002456583,0.000185614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546913,"about_ca_system_score_gemma":0.0003507857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004794964,"about_ca_topic_score_gemma":0.0006554914,"domain_scores_codex":[0.9997341,0.00002619742,0.00002950882,0.00004804522,0.0001270719,0.00003508613],"domain_scores_gemma":[0.999545,0.00007930869,0.0001864207,0.00008106125,0.00007574541,0.00003229788],"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":[0.00004939566,0.000008788994,0.0003435941,0.00008482506,0.00000336882,0.0001777983,0.00007542339,0.001362737,0.993239,0.0006113232,0.00007136769,0.003972418],"study_design_scores_gemma":[0.00002446382,0.000396943,0.00232076,0.00001400572,0.000008079486,0.0005079957,0.0000408541,0.00897958,0.9849433,0.0001730494,0.002560568,0.00003047678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9018736,0.0008770229,0.09379074,0.00009293677,0.00007281297,0.0001217633,0.0001478911,0.0004075906,0.002615693],"genre_scores_gemma":[0.9204056,0.0003166804,0.07822439,0.00001980885,0.000007396748,0.00003084172,0.0000702751,0.00002060164,0.0009043963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004842205,"threshold_uncertainty_score":0.002290428,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403249565","doi":"10.1016/j.procir.2024.08.372","title":"Structured-light 3D Scanning Performance in Offline and In-process Measurement of 3D Printed Parts","year":2024,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"3d printed; 3d scanning; Structured light; Process (computing); 3D printing; Engineering drawing; Materials science; Computer science; Engineering; Manufacturing engineering; Mechanical engineering; Artificial intelligence","authors":[{"name":"Moustapha Jadayel","is_ca":true},{"name":"Farbod Khameneifar","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01885063446748376,"gpt":0.2372002649059108,"spread":0.2183496304384271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001492886,0.0004760864,0.0003908775,0.001019258,0.0002561107,0.0009087974,0.0008294453,0.0008311103,0.001208807],"category_scores_gemma":[0.004914221,0.00031194,0.0003491011,0.000726528,0.0006224521,0.0007138331,0.0006328153,0.0004126026,0.0004047351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003961322,"about_ca_system_score_gemma":0.000267364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007252673,"about_ca_topic_score_gemma":0.001368284,"domain_scores_codex":[0.9979873,0.000288889,0.00007993382,0.0002526286,0.001308746,0.00008243973],"domain_scores_gemma":[0.9941303,0.003032201,0.0005027674,0.0009813182,0.001276814,0.00007665532],"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":[0.0009680791,0.0001399918,0.01375011,0.0002974051,0.00007024314,0.0003234019,0.0009129284,0.01334832,0.8049532,0.0008903656,0.0005252335,0.1638206],"study_design_scores_gemma":[0.0000341894,0.001039879,0.0329855,0.0000221961,0.00005932523,0.001008887,0.0002971085,0.08536755,0.8764976,0.0003266555,0.002287918,0.00007317085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7414627,0.0003717144,0.2534284,0.0001079957,0.00005510681,0.00006567992,0.0001315663,0.001153015,0.003223944],"genre_scores_gemma":[0.9153536,0.0001097893,0.0828713,0.00005029239,0.00001436335,0.00003286413,0.00009143117,0.0001785268,0.001297849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001492886,"threshold_uncertainty_score":0.007895231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197364050","doi":"10.1016/j.procir.2021.02.036","title":"Sustainable machining of Ti-6Al-4V using cryogenic cooling: an optimized approach","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":9,"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; McGill University","funders":"","keywords":"Machining; Mechanical engineering; Grey relational analysis; Materials science; Surface roughness; Sorting; Taguchi methods; Cryogenic treatment; Genetic algorithm; Surface finish; Metallurgy; Process engineering; Computer science; Engineering; Composite material; Microstructure; Mathematics","authors":[{"name":"Hussien Hegab","is_ca":true},{"name":"A. Damir","is_ca":true},{"name":"Helmi Attia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01606122135367655,"gpt":0.2496044014163145,"spread":0.233543180062638,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002603731,0.0002733983,0.0003023487,0.0003160504,0.000215021,0.0003836349,0.0003572367,0.0003224393,0.0005510303],"category_scores_gemma":[0.0002254314,0.0002322261,0.0003533052,0.0002347658,0.0002456096,0.0003127774,0.0002606164,0.0002629712,0.00007692037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395176,"about_ca_system_score_gemma":0.000606228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00159652,"about_ca_topic_score_gemma":0.003639222,"domain_scores_codex":[0.99991,0.00001081746,0.000002751689,0.00001359943,0.00004525618,0.00001749435],"domain_scores_gemma":[0.9999369,0.00001924786,0.00001416755,0.000006453217,0.00001942524,0.000003760555],"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":[0.0001351401,0.00006696794,0.002199903,0.000231045,0.00004084628,0.0001310206,0.00009175246,0.7010996,0.2627429,0.00234915,0.000269115,0.03064253],"study_design_scores_gemma":[0.00003573525,0.0005978012,0.004926469,0.00001700617,0.00005409104,0.0001060323,0.0001254339,0.8959476,0.09422422,0.001906682,0.002034322,0.00002450809],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022123,0.000644167,0.1917443,0.0001133988,0.00001996462,0.00007268868,0.00009406219,0.0001389868,0.004960163],"genre_scores_gemma":[0.9625379,0.0001704014,0.03658684,0.00001148848,0.000002676596,0.00003663625,0.00004879793,0.0000170755,0.0005883427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00159652,"threshold_uncertainty_score":0.003174424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3196439122","doi":"10.1016/j.procir.2020.11.008","title":"High performance grinding of titanium alloys with electroplated diamond wheels","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Electroplating; Materials science; Metallurgy; Grinding; Surface roughness; Diamond; Titanium; Surface finish; Titanium alloy; Diamond grinding; Grinding wheel; Composite material; Alloy; Layer (electronics)","authors":[{"name":"Zhongde Shi","is_ca":true},{"name":"Helmi Attia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003579963357170561,"gpt":0.1748881087462988,"spread":0.1713081453891282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005196542,0.0003296888,0.0004957826,0.0004699151,0.0002453643,0.0003372795,0.0005529968,0.0003415218,0.0008310981],"category_scores_gemma":[0.0007151895,0.000256213,0.0003396134,0.0003236419,0.0003341734,0.0002491458,0.0002934388,0.0003116734,0.0002326316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004426565,"about_ca_system_score_gemma":0.0003156381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753094,"about_ca_topic_score_gemma":0.01081033,"domain_scores_codex":[0.9994736,0.00002659576,0.00002003883,0.00006847402,0.0003247005,0.00008667112],"domain_scores_gemma":[0.999579,0.0001235254,0.00007269352,0.00006782919,0.0001236974,0.00003330095],"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":[0.0000638533,0.00001550909,0.0004268349,0.00006583362,0.000005899607,0.00005728158,0.00005564197,0.0006409799,0.9948483,0.00004149759,0.00003211858,0.003746316],"study_design_scores_gemma":[0.00001259827,0.000333822,0.008637425,0.000005187112,0.00001162198,0.0000994815,0.00004142152,0.002902371,0.9866443,0.00003158009,0.001270314,0.000009859965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917125,0.0007059393,0.006559152,0.00001615055,0.00002507274,0.0000194264,0.00005885627,0.00006308842,0.0008398564],"genre_scores_gemma":[0.9844503,0.000337338,0.01320889,0.00001039574,0.000005514862,0.000009005801,0.0001051501,0.00004258388,0.00183089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002753094,"threshold_uncertainty_score":0.005474091,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2612627576","doi":"10.1016/j.procir.2017.02.020","title":"Management of Heterogeneous Information for Integrated Design of Multidisciplinary Systems","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Multidisciplinary approach; Mechatronics; Systems engineering; Engineering; Process (computing); Software engineering; Computer science; Concurrent engineering; Data exchange; Engineering management; Process integration; World Wide Web; Artificial intelligence","authors":[{"name":"Julia Guérineau","is_ca":true},{"name":"Chen Zheng","is_ca":false},{"name":"Matthieu Bricogne","is_ca":false},{"name":"Alexandre Durupt","is_ca":false},{"name":"Louis Rivest","is_ca":true},{"name":"Harvey Rowson","is_ca":false},{"name":"Benoît Eynard","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01787413453236496,"gpt":0.2329695860947545,"spread":0.2150954515623895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002781582,0.0007637503,0.000901881,0.002381864,0.000909549,0.00367346,0.001551039,0.0009647954,0.002082172],"category_scores_gemma":[0.004545154,0.0005538415,0.0009238097,0.002437572,0.000766093,0.004417034,0.003631222,0.001166656,0.000509355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007197534,"about_ca_system_score_gemma":0.000932241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009239114,"about_ca_topic_score_gemma":0.001000869,"domain_scores_codex":[0.9965445,0.001296713,0.0003277552,0.0004922925,0.001131481,0.0002073201],"domain_scores_gemma":[0.99684,0.001024184,0.0003753965,0.001313047,0.0003502828,0.00009701303],"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":[0.0002202569,0.0002953824,0.002714981,0.0005877525,0.000196721,0.000599122,0.003293809,0.0691842,0.06397948,0.04666317,0.00228628,0.8099789],"study_design_scores_gemma":[0.00009630476,0.0005170378,0.005558466,0.0004376187,0.0004580758,0.0008646084,0.002453256,0.6919355,0.1093074,0.09094125,0.0972365,0.0001939315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01027393,0.0005215333,0.9865147,0.0001501535,0.00001620316,0.0001037778,0.00004587728,0.0005421708,0.001831708],"genre_scores_gemma":[0.2596075,0.0009361071,0.7360526,0.0001112649,0.00004377108,0.0003126253,0.0004663442,0.0001825918,0.002287186],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00367346,"threshold_uncertainty_score":0.01471061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3170796456","doi":"10.1016/j.procir.2021.05.023","title":"Simplification and unfolding of 3D mesh models: review and evaluation of existing tools","year":2021,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Polygon mesh; Software; Computer science; Mesh generation; Planar; Set (abstract data type); Process (computing); Hausdorff distance; Level of detail; 3d model; Automation; Engineering drawing; Surface (topology); Computational science; Computer graphics (images); Algorithm; Geometry; Artificial intelligence; Engineering; Finite element method; Mechanical engineering; Mathematics; Structural engineering; Programming language","authors":[{"name":"Zohreh Sohrabi GharehTappeh","is_ca":true},{"name":"Qingjin Peng","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1429193638115873,"gpt":0.3204959254742182,"spread":0.1775765616626309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002332266,0.001465094,0.001760212,0.005711163,0.000565246,0.002257196,0.002922148,0.001397312,0.002846171],"category_scores_gemma":[0.006859628,0.001442345,0.001781824,0.00538204,0.0009138502,0.002657451,0.001095742,0.0009785281,0.001403692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006721892,"about_ca_system_score_gemma":0.001096636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699477,"about_ca_topic_score_gemma":0.001465817,"domain_scores_codex":[0.9966447,0.0004538596,0.0003851639,0.0005281544,0.001897634,0.00009042829],"domain_scores_gemma":[0.9931937,0.004334689,0.0004338141,0.0006811058,0.001265238,0.00009150059],"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":[0.00008506777,0.00007155879,0.001017643,0.009570594,0.0001305891,0.0001527782,0.0003025992,0.02401646,0.006059255,0.007170212,0.003029776,0.9483935],"study_design_scores_gemma":[0.00006240688,0.00104865,0.006987317,0.009933874,0.000783372,0.004575918,0.0008953105,0.1805623,0.05885736,0.01644547,0.7193567,0.000491351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01918627,0.5472434,0.4157647,0.0004317463,0.0003934969,0.0002336244,0.0005554867,0.002213853,0.01397742],"genre_scores_gemma":[0.1064308,0.5881061,0.2972154,0.0002701624,0.0004921034,0.000301233,0.002004719,0.001069042,0.00411039],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005711163,"threshold_uncertainty_score":0.01233435,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403249742","doi":"10.1016/j.procir.2024.08.264","title":"Advanced procedures and scheduling for aircraft assembly processes: A systematic review approach","year":2024,"lang":"en","type":"review","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Universidad Nacional de Educación a Distancia","keywords":"Scheduling (production processes); Computer science; Engineering; Systems engineering; Aeronautics; Operations management","authors":[{"name":"David Blanco","is_ca":false},{"name":"Eva María Rubio","is_ca":false},{"name":"Beatriz Agustina","is_ca":false},{"name":"Marta María Marín","is_ca":false},{"name":"Ana María Camacho","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02204956420892091,"gpt":0.2854435729506486,"spread":0.2633940087417277,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02822957,0.002688622,0.008436819,0.04026678,0.001632623,0.004630052,0.002502336,0.002293951,0.004410811],"category_scores_gemma":[0.07484756,0.001433381,0.008713109,0.02689884,0.001639465,0.005228323,0.002516601,0.001607207,0.0005290454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007685164,"about_ca_system_score_gemma":0.03805411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007888827,"about_ca_topic_score_gemma":0.02351571,"domain_scores_codex":[0.9709376,0.01168425,0.009793742,0.00183908,0.00521295,0.0005324549],"domain_scores_gemma":[0.9340309,0.04579563,0.010593,0.001338208,0.007588476,0.0006536767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009625155,0.00003837856,0.0007079059,0.9416369,0.004005503,0.0001648874,0.0007540255,0.0002433181,0.0002741146,0.0009605911,0.001619265,0.04949883],"study_design_scores_gemma":[0.0001793505,0.0003208727,0.002399931,0.9390404,0.02809072,0.000424484,0.00140968,0.0002556603,0.0002753165,0.0008940018,0.02663791,0.0000716004],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002805564,0.9850004,0.002575585,0.0007722571,0.0003495704,0.006561275,0.001133976,0.00003400928,0.0007674756],"genre_scores_gemma":[0.02684976,0.9496291,0.01083647,0.0008641754,0.0002164422,0.01037921,0.0008267555,0.00001458318,0.0003835139],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04026678,"threshold_uncertainty_score":0.149294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3048356725","doi":"10.1016/j.procir.2020.02.139","title":"Integration of life cycle assessment with energy simulation software for polymer exchange membrane (PEM) electrolysis","year":2020,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":7,"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":"Scope (computer science); Polymer electrolyte membrane electrolysis; Life-cycle assessment; Software; Electrolysis; Systems engineering; Computer science; Engineering; Process engineering; Risk analysis (engineering); Production (economics); Business; Chemistry","authors":[{"name":"Hemant Sharma","is_ca":true},{"name":"Guillaume Mandil","is_ca":false},{"name":"Peggy Zwolinski","is_ca":false},{"name":"Emmanuelle Cor","is_ca":false},{"name":"Hugo Mugnier","is_ca":true},{"name":"Élise Monnier","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01724869667669263,"gpt":0.2465906433278803,"spread":0.2293419466511877,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001318698,0.001015479,0.0007232361,0.001105109,0.0004170527,0.001370417,0.001472347,0.0009720983,0.007020327],"category_scores_gemma":[0.003077413,0.0006523053,0.001160914,0.0007337169,0.0003043242,0.001070921,0.0008716364,0.001221767,0.001702319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00080374,"about_ca_system_score_gemma":0.001115424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004288379,"about_ca_topic_score_gemma":0.003317286,"domain_scores_codex":[0.9994366,0.0001754358,0.00007594223,0.00005338334,0.0002170916,0.00004162755],"domain_scores_gemma":[0.9983804,0.0009297815,0.00007972285,0.0002098904,0.0003430258,0.00005719519],"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":[0.0001738983,0.0002879775,0.003095545,0.0003999838,0.0002133007,0.0002557312,0.0003078307,0.8915719,0.008685331,0.01076543,0.005050296,0.07919281],"study_design_scores_gemma":[0.00003527295,0.00003116826,0.0004692228,0.00003917108,0.00002834172,0.00004552734,0.00002880205,0.9761159,0.005198137,0.004111283,0.01386305,0.0000340851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05248078,0.000375641,0.8931537,0.0003977997,0.0001380404,0.0003166318,0.002225965,0.0329005,0.01801085],"genre_scores_gemma":[0.484514,0.001020542,0.4948812,0.0002290559,0.00004970995,0.001164349,0.005545258,0.005275458,0.007320418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007020327,"threshold_uncertainty_score":0.0234853,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1981356886","doi":"10.1016/j.procir.2013.09.036","title":"Study of Workpiece Temperature Distribution in the Contact Zone during Robotic Grinding Process Using Finite Element Analysis","year":2013,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Hydro-Québec; École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grinding; Finite element method; Materials science; Mechanical engineering; Machining; Heat generation; Thermal; Process (computing); Stiffness; Surface integrity; Chip formation; Tool wear; Structural engineering; Engineering; Computer science; Composite material","authors":[{"name":"Amir Masoud Tahvilian","is_ca":true},{"name":"Henri Champliaud","is_ca":true},{"name":"Zhaoheng Liu","is_ca":true},{"name":"Bruce Hazel","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01300328203225505,"gpt":0.2608506727873541,"spread":0.247847390755099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002131248,0.000288249,0.0004618867,0.0003753996,0.000232832,0.000302285,0.0004336991,0.0005976172,0.00105371],"category_scores_gemma":[0.00049568,0.0001984168,0.0003718813,0.0003455965,0.0003519098,0.0003180635,0.00015877,0.0002956618,0.0001376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292485,"about_ca_system_score_gemma":0.0002536546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522014,"about_ca_topic_score_gemma":0.001306662,"domain_scores_codex":[0.9998653,0.00001482837,0.000005419284,0.00003309274,0.00006373538,0.00001757803],"domain_scores_gemma":[0.9996871,0.000185791,0.00003911076,0.00003390776,0.00004237036,0.00001175186],"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":[0.0002883615,0.0002233114,0.01004129,0.0003397063,0.00004514193,0.0005103447,0.001171025,0.5722602,0.3812542,0.001868304,0.0005670602,0.03143104],"study_design_scores_gemma":[0.000007507003,0.00008198338,0.007159159,0.000008889139,0.000008224427,0.00006924965,0.00009000232,0.9572572,0.03457696,0.0002038648,0.0005176279,0.00001940237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9263629,0.0002096833,0.06973998,0.00005645907,0.00001193898,0.00003530706,0.0001720559,0.0004391097,0.0029726],"genre_scores_gemma":[0.9912946,0.00004818984,0.007797172,0.000005431039,0.000002236519,0.00001998863,0.00007774053,0.00003542145,0.0007191638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001522014,"threshold_uncertainty_score":0.003525019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W586912333","doi":"10.1016/j.procir.2015.03.051","title":"A Solid Modeler Based Engagement Model for 5-axis Ball End Milling","year":2015,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of British Columbia; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"End milling; Ball (mathematics); Machining; Mechanical engineering; Process (computing); Solid surface; End mill; Engineering drawing; Engineering; Materials science; Computer science; Geometry; Mathematics; Physics","authors":[{"name":"Ismail Enes Yiğit","is_ca":false},{"name":"S. Ehsan Layegh K.","is_ca":false},{"name":"İsmail Lazoğlu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05580163019437431,"gpt":0.2979919684833002,"spread":0.2421903382889259,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000232662,0.0003603047,0.0004795266,0.0002909137,0.0002529117,0.0007567212,0.001018012,0.0009849041,0.00209224],"category_scores_gemma":[0.0004462615,0.000277225,0.0005387166,0.0003098439,0.0004388309,0.0006857599,0.0005696798,0.0005738282,0.0007597455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003776916,"about_ca_system_score_gemma":0.000667277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797321,"about_ca_topic_score_gemma":0.001981849,"domain_scores_codex":[0.999792,0.00003242476,0.00001052393,0.00002480878,0.0001128736,0.0000273567],"domain_scores_gemma":[0.9998239,0.00005834679,0.00003255227,0.00002815891,0.00004432436,0.00001277872],"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":[0.00002232585,0.0000198535,0.0002262462,0.00002325853,0.000004472789,0.00005323159,0.00003561354,0.9810043,0.006050161,0.006678292,0.0001266354,0.00575569],"study_design_scores_gemma":[0.000001837161,0.000008023017,0.00004291651,0.000001494531,8.040516e-7,0.000008142457,0.000002978155,0.9985396,0.0005677181,0.000404371,0.0004198879,0.000002183785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04653455,0.0001400347,0.9444548,0.00005629365,0.00001480551,0.00004376242,0.0001101483,0.000330134,0.008315462],"genre_scores_gemma":[0.8886653,0.000359424,0.10232,0.00003383457,0.00001045646,0.0001450261,0.0002859965,0.0001470639,0.008032855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002797321,"threshold_uncertainty_score":0.006999254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613110796","doi":"10.1016/j.procir.2017.01.044","title":"Optimal Design of a Reconfigurable Machine Tool Considering Machine Configurations and Configuration Changes","year":2017,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control reconfiguration; Machine tool; Graph; Process (computing); Computer science; Engineering design process; Tree (set theory); Design process; Machining; Machine design; Control engineering; Engineering; Work in process; Mechanical engineering; Embedded system; Theoretical computer science; Mathematics","authors":[{"name":"Moustafa Gadalla","is_ca":true},{"name":"Deyi Xue","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02380532646260681,"gpt":0.2283827348402337,"spread":0.2045774083776269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006222658,0.001184901,0.000875155,0.001117505,0.000424684,0.001238587,0.0008429101,0.001094179,0.002138293],"category_scores_gemma":[0.001042812,0.0008028586,0.001132099,0.0008390749,0.0006546816,0.0007772479,0.0005924784,0.0005482984,0.0002533157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009337002,"about_ca_system_score_gemma":0.001623976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002730601,"about_ca_topic_score_gemma":0.002937452,"domain_scores_codex":[0.9994528,0.0001247419,0.00002285548,0.0001292207,0.0001752592,0.00009512082],"domain_scores_gemma":[0.9996915,0.0001182573,0.00007806473,0.00003081465,0.00006039979,0.00002094132],"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":[0.00003677371,0.0000191836,0.0002534433,0.00007882569,0.00001621705,0.00008957995,0.00001992387,0.98022,0.003908255,0.003149402,0.0001768048,0.01203165],"study_design_scores_gemma":[0.00001557042,0.00009723738,0.0002273774,0.00001005232,0.00001999989,0.00003691066,0.00002552322,0.9953772,0.00138121,0.001920412,0.0008784845,0.0000100277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0907265,0.0006310836,0.8871263,0.0001513178,0.00005951818,0.0002245629,0.0001164576,0.0003907251,0.02057352],"genre_scores_gemma":[0.7816532,0.0003495913,0.2144594,0.00003971877,0.00001407075,0.0003398825,0.0001341044,0.00007427736,0.002935779],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002730601,"threshold_uncertainty_score":0.007153273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987340460","doi":"10.1016/j.procir.2014.03.005","title":"Procurement of Reconfigurable Assembly System a Justification for Effective Production Ramp-up Planning","year":2014,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Flexible and Reconfigurable Manufacturing Systems","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":"University of Windsor","funders":"","keywords":"Production (economics); Procurement; Production planning; Manufacturing engineering; Production system (computer science); Systems engineering; Computer science; Engineering; Business; Operations management; Economics; Marketing","authors":[{"name":"G. Ali Qureshi","is_ca":false},{"name":"Waguih ElMaraghy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01405593905332927,"gpt":0.2258580289013033,"spread":0.211802089847974,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006748231,0.0004625251,0.0002625996,0.0007372153,0.0008237758,0.001790214,0.0008402173,0.000765591,0.00699762],"category_scores_gemma":[0.002064021,0.0003377171,0.0003481146,0.0006009501,0.0009863366,0.001532878,0.0006823878,0.0007799337,0.001400423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007275295,"about_ca_system_score_gemma":0.0009877143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130237,"about_ca_topic_score_gemma":0.001235713,"domain_scores_codex":[0.9988306,0.0002713405,0.00007244704,0.0001698109,0.0005194181,0.0001365113],"domain_scores_gemma":[0.9982635,0.0005373259,0.0003142078,0.0004921625,0.0003132241,0.00007961415],"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":[0.0004476486,0.0002097385,0.007969367,0.001062612,0.00004482561,0.00339863,0.001277494,0.109003,0.08220392,0.4260013,0.004528329,0.3638532],"study_design_scores_gemma":[0.00009920299,0.001726477,0.0259818,0.0009061715,0.0001041315,0.008243392,0.002989152,0.3994282,0.1179789,0.180524,0.2617539,0.0002647157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1454767,0.003357459,0.6619571,0.00244421,0.0002413919,0.0003471034,0.0001987469,0.001066615,0.1849106],"genre_scores_gemma":[0.8633087,0.00117365,0.1184378,0.0001526701,0.0000667054,0.0001407164,0.0001137621,0.00009490564,0.01651095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00699762,"threshold_uncertainty_score":0.02340937,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285161620","doi":"10.1016/j.procir.2022.03.066","title":"Effect of Chip Segmentation on Machining-Induced Residual Stresses during Turning of Ti6Al4V","year":2022,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; ArcelorMittal (Canada); National Research Council Canada; Polytechnique Montréal","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Residual stress; Chip formation; Segmentation; Chip; Surface integrity; Materials science; Finite element method; Residual; Structural engineering; Titanium alloy; Vibration; Mechanical engineering; Tool wear; Engineering; Composite material; Metallurgy; Computer science; Artificial intelligence; Acoustics; Alloy; Physics; Algorithm","authors":[{"name":"Bin Shi","is_ca":true},{"name":"E. Abboud","is_ca":true},{"name":"Helmi Attia","is_ca":true},{"name":"Vince Thomson","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005015013329562401,"gpt":0.2355065816422031,"spread":0.2304915683126407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629261,0.0002610394,0.0002593622,0.0001840093,0.0001862094,0.0002376346,0.0002398586,0.0002872361,0.0005524131],"category_scores_gemma":[0.0004749654,0.0001861599,0.0002016542,0.0001410086,0.0003568095,0.0001598749,0.0001240296,0.0001949427,0.00006450996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002222302,"about_ca_system_score_gemma":0.000209365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106948,"about_ca_topic_score_gemma":0.002488136,"domain_scores_codex":[0.999861,0.00001381352,0.00000752232,0.0000227752,0.00005359014,0.00004120431],"domain_scores_gemma":[0.9995844,0.000228411,0.00007273121,0.00003113116,0.00005990094,0.00002351435],"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":[0.0008051515,0.0000972478,0.004597365,0.0001348286,0.00003095616,0.0002885658,0.0002484063,0.03343683,0.9510323,0.0001218868,0.00007907827,0.009127344],"study_design_scores_gemma":[0.0000338177,0.002413647,0.05656021,0.00001695016,0.00005850652,0.0002161435,0.0002389604,0.1145258,0.8252207,0.00009803802,0.0005747775,0.00004229971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985186,0.00007950944,0.001047721,0.000005582167,0.000005015437,0.000005597733,0.0000186227,0.00002493714,0.0002944534],"genre_scores_gemma":[0.9995185,0.00002127975,0.0003765703,0.000003246854,8.984377e-7,0.000002639215,0.00001662968,0.000004612668,0.00005558114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00106948,"threshold_uncertainty_score":0.002126515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}