{"meta":{"query_hash":"8205a4e2eb28","filters":{"venue":"International Journal of Computer Integrated Manufacturing"},"cohort_total":33,"direct_labels_cover":0,"predictions_cover":33,"exported":33,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8205a4e2eb28","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Computer+Integrated+Manufacturing"},"results":[{"id":"W1967000209","doi":"10.1080/09511920310001593100","title":"Including technology selection decisions in manufacturing network design models","year":2003,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; Université Laval","funders":"","keywords":"Scope (computer science); Decomposition; Computer science; Selection (genetic algorithm); Industrial engineering; Scale (ratio); Operations research; Mathematical optimization; Systems engineering; Manufacturing engineering; Engineering; Artificial intelligence; Mathematics","score_opus":0.02909155071181283,"score_gpt":0.25008284505255873,"score_spread":0.2209912943407459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967000209","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022626234,0.00060648797,0.9642794,0.000527601,0.000058655067,0.0001111389,0.00015108187,0.000093532835,0.011545898],"genre_scores_gemma":[0.7506856,0.0026452201,0.22191496,0.00022927902,0.0001436522,0.00077578257,0.00032167652,0.00013301808,0.0231508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991097,0.0005073969,0.000021890999,0.00010171104,0.00015462456,0.00010463061],"domain_scores_gemma":[0.99880683,0.00090813154,0.00013615726,0.000029516334,0.00007170326,0.000047645015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015939114,0.001594249,0.001204295,0.0011003515,0.000815968,0.001691651,0.0012262703,0.0021337688,0.0053795823],"category_scores_gemma":[0.00340439,0.0013135261,0.0011700011,0.0014105263,0.00092880736,0.0021659683,0.0010441929,0.0013226791,0.0005119177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053666918,0.000005237145,0.000041126295,0.000009276483,0.000004303967,0.000012659259,0.0000056288436,0.9928483,0.0000520823,0.0057090805,0.00005559863,0.0012513397],"study_design_scores_gemma":[0.000009830122,0.000014264329,0.00002327885,0.0000060187654,0.000006299527,0.000005916447,0.0000060233538,0.9892537,0.00007431536,0.009957865,0.0006382531,0.0000042568345],"about_ca_topic_score_codex":0.0066516087,"about_ca_topic_score_gemma":0.008950107,"teacher_disagreement_score":0.0066516087,"about_ca_system_score_codex":0.002114386,"about_ca_system_score_gemma":0.0017358111,"threshold_uncertainty_score":0.01799649},"labels":[],"label_agreement":null},{"id":"W1967332144","doi":"10.1080/09511920802403933","title":"Optimal layout and path planning for flame cutting of sheet metals","year":2009,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical optimization; Path (computing); Computer science; Heuristic; Block (permutation group theory); Path length; Algorithm; Mathematics","score_opus":0.013107781187262706,"score_gpt":0.25171816102382394,"score_spread":0.23861037983656122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967332144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020796515,0.0002744581,0.97665375,0.000048654427,0.000015018861,0.00010096586,0.000052726515,0.00028162016,0.0017762808],"genre_scores_gemma":[0.20908889,0.00039671146,0.7868793,0.00001939762,0.000010264302,0.00021600159,0.00012894378,0.00007745335,0.003183006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.0000772146,0.000007667916,0.000042223204,0.00008740396,0.000037522343],"domain_scores_gemma":[0.9997383,0.00015762655,0.000039468807,0.000014033873,0.000036485202,0.000014145103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004921957,0.00081705366,0.0005691851,0.00081894547,0.0004632039,0.00046157988,0.00067110575,0.0007999082,0.002423731],"category_scores_gemma":[0.001143449,0.00075790624,0.00058974506,0.0007148805,0.00059903896,0.0006166997,0.00050358585,0.0005368272,0.00027984628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004577812,0.000022390703,0.00017994431,0.00008306844,0.000012170179,0.000047159978,0.00006711669,0.9568993,0.0025767563,0.0040593836,0.0003883472,0.035618633],"study_design_scores_gemma":[0.000024412642,0.00008366351,0.00018232988,0.000011516813,0.000007449768,0.000043377742,0.000033342167,0.9916841,0.0018092082,0.004541065,0.0015666496,0.000012905035],"about_ca_topic_score_codex":0.008594533,"about_ca_topic_score_gemma":0.008171798,"teacher_disagreement_score":0.008594533,"about_ca_system_score_codex":0.0008124711,"about_ca_system_score_gemma":0.001535815,"threshold_uncertainty_score":0.01708901},"labels":[],"label_agreement":null},{"id":"W1967386260","doi":"10.1080/0951192031000078185","title":"Application of a fuzzy decision support system in a Design for Assembly methodology","year":2003,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fuzzy logic; Representation (politics); Computer science; Product (mathematics); Process (computing); Relevance (law); Product design; Decision support system; Systems engineering; Industrial engineering; Data mining; Engineering; Artificial intelligence; Mathematics","score_opus":0.030154742075158406,"score_gpt":0.281203661933026,"score_spread":0.2510489198578676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967386260","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030879252,0.00014652894,0.9658492,0.00019877027,0.000034229764,0.0001595774,0.000053625383,0.00043233993,0.0022464888],"genre_scores_gemma":[0.42125463,0.00015845626,0.5771321,0.00006783306,0.000026138265,0.00020360606,0.00009086802,0.000014928741,0.0010513773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900657,0.00033344957,0.00009706462,0.00016611541,0.00033667817,0.000060105896],"domain_scores_gemma":[0.9989605,0.0006392593,0.00008341747,0.00006639246,0.00020779832,0.000042640717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020029664,0.0006505957,0.0005938389,0.000828732,0.00077451376,0.001458825,0.00078614935,0.0009805929,0.0023660418],"category_scores_gemma":[0.003553772,0.00028106023,0.0007280993,0.000670501,0.00054017786,0.00087224535,0.0006478976,0.00071172294,0.00034740922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000661665,0.00037029528,0.0022400985,0.00049120426,0.00015452271,0.0008713495,0.00070085976,0.538503,0.028746147,0.053541046,0.0015319079,0.372188],"study_design_scores_gemma":[0.00006321193,0.00018109824,0.00024378473,0.000050893752,0.000044146593,0.00008788856,0.00003642951,0.9786911,0.0063887537,0.010557632,0.0036340454,0.000020931022],"about_ca_topic_score_codex":0.0031468705,"about_ca_topic_score_gemma":0.0018479114,"teacher_disagreement_score":0.0031468705,"about_ca_system_score_codex":0.0010015754,"about_ca_system_score_gemma":0.0013589523,"threshold_uncertainty_score":0.010592818},"labels":[],"label_agreement":null},{"id":"W1989417121","doi":"10.1080/0951192x.2012.731284","title":"Special Issue on Collaborative Manufacturing and Supply Chains","year":2012,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Supply chain; Business; Manufacturing engineering; Computer science; Process management; Industrial organization; Knowledge management; Systems engineering; Engineering; Marketing","score_opus":0.009093899264280279,"score_gpt":0.2386015847834419,"score_spread":0.22950768551916162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989417121","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00051662955,0.017138926,0.00062310346,0.0322854,0.8218487,0.00012759873,0.0012137055,0.00028883058,0.1259571],"genre_scores_gemma":[0.0037138695,0.015938925,0.0005177123,0.0076610437,0.42929065,0.000103368766,0.0021777907,0.00036677025,0.5402299],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99730957,0.0002891695,0.00023710018,0.00034831316,0.0015029131,0.00031300567],"domain_scores_gemma":[0.98865825,0.0016834819,0.00066894613,0.0011167107,0.006126021,0.0017465752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030983593,0.0018624417,0.002674252,0.0056860233,0.0030023928,0.008150954,0.0025739926,0.005425289,0.22617811],"category_scores_gemma":[0.0069259442,0.00082230766,0.0013971806,0.0047007343,0.001103417,0.0051477198,0.0028112906,0.0038301614,0.085918486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029241039,0.000022794804,0.000046591686,0.00016304941,0.000004039686,0.000041037412,0.000009239659,0.000028188737,0.000089581226,0.00087166886,0.98809075,0.010603799],"study_design_scores_gemma":[0.000008990416,0.000028053162,0.0005724767,0.00016756925,0.0000073660613,0.00005963128,0.000024441511,0.00007119602,0.00006062969,0.0008860483,0.9981078,0.000005847922],"about_ca_topic_score_codex":0.0038927733,"about_ca_topic_score_gemma":0.009897409,"teacher_disagreement_score":0.22617811,"about_ca_system_score_codex":0.0033227375,"about_ca_system_score_gemma":0.004377398,"threshold_uncertainty_score":0.75664115},"labels":[],"label_agreement":null},{"id":"W1996529445","doi":"10.1080/09511920802392730","title":"NURBS representation of estimated surfaces resulting from machining errors","year":2009,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; University of Windsor; University of Ontario Institute of Technology","funders":"","keywords":"Machining; Machine tool; Representation (politics); Process (computing); Computer Aided Design; Mechanical engineering; CAD; Computer science; Position (finance); Engineering drawing; Jacobian matrix and determinant; Surface roughness; Algorithm; Engineering; Mathematics; Applied mathematics","score_opus":0.026579555590582404,"score_gpt":0.2959993500353554,"score_spread":0.269419794444773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996529445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043336954,0.00006056154,0.99391574,0.000016879996,0.000012834696,0.000010343393,0.000048970945,0.00025574974,0.0013452878],"genre_scores_gemma":[0.48946425,0.0007670004,0.49998337,0.00003723364,0.00003424502,0.00019585248,0.0005410928,0.00043256002,0.008544391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991972,0.0001672638,0.000034952034,0.000090303154,0.0004689808,0.00004146423],"domain_scores_gemma":[0.9994791,0.00019074835,0.00006739609,0.0001151851,0.0001345305,0.000013072481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759221,0.0009796269,0.0005939903,0.0007340054,0.00020372182,0.0013247706,0.0011862981,0.0007477792,0.0028382852],"category_scores_gemma":[0.0018774109,0.00050532626,0.00067952974,0.0006368006,0.0007616807,0.0009217251,0.00067552086,0.00070066936,0.001105056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058787475,0.00001200098,0.00032495995,0.00011946402,0.000014825183,0.00013885454,0.00014976904,0.8935941,0.011265904,0.053971834,0.0006400882,0.039709434],"study_design_scores_gemma":[0.0000061028377,0.000025273157,0.00020243984,0.000013875808,0.000008360186,0.00007920539,0.000030123965,0.9832449,0.0056898515,0.006490446,0.0041925353,0.000016826243],"about_ca_topic_score_codex":0.0016733268,"about_ca_topic_score_gemma":0.0013710649,"teacher_disagreement_score":0.0028382852,"about_ca_system_score_codex":0.00041806174,"about_ca_system_score_gemma":0.0005366752,"threshold_uncertainty_score":0.00949502},"labels":[],"label_agreement":null},{"id":"W1998535485","doi":"10.1080/09511920500064664","title":"On-line scheduling and control of flexible manufacturing cells using automata theory","year":2006,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supervisor; Scheduling (production processes); Computer science; Automaton; Job shop scheduling; Distributed computing; Supervisory control; Control (management); Mathematical optimization; Embedded system; Routing (electronic design automation); Theoretical computer science; Artificial intelligence; Mathematics","score_opus":0.018703126462238186,"score_gpt":0.26400587143890475,"score_spread":0.24530274497666657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998535485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09603025,0.00011863466,0.89840394,0.00006288585,0.000029321907,0.0000653468,0.000030436564,0.00039959475,0.004859609],"genre_scores_gemma":[0.95268625,0.000049421687,0.046324022,0.000014396913,0.000005625564,0.00007073991,0.00002405572,0.000014800074,0.0008106663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995883,0.00015890853,0.000022918986,0.0000658273,0.00012274898,0.000041406314],"domain_scores_gemma":[0.9993855,0.00038474967,0.000087282395,0.00005205442,0.00006745329,0.000023000002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049108226,0.00044029788,0.00030084688,0.00025440974,0.00029999536,0.00063932245,0.00060956634,0.00030165192,0.0011119181],"category_scores_gemma":[0.0009887975,0.00017297041,0.0004420012,0.00016739269,0.0007420643,0.0004351004,0.0004759988,0.000369251,0.00009713819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009022302,0.000051268627,0.00045423114,0.000053483775,0.00001897844,0.00008681745,0.000098369936,0.9468973,0.015171978,0.01652019,0.0001654929,0.020391755],"study_design_scores_gemma":[0.000011257416,0.000040893527,0.000100506346,0.0000041887147,0.00000524053,0.0000091929605,0.000007062436,0.9935912,0.0034940117,0.0023133308,0.0004188787,0.000004220372],"about_ca_topic_score_codex":0.004077993,"about_ca_topic_score_gemma":0.003076538,"teacher_disagreement_score":0.004077993,"about_ca_system_score_codex":0.0007135495,"about_ca_system_score_gemma":0.0007330397,"threshold_uncertainty_score":0.008108556},"labels":[],"label_agreement":null},{"id":"W2011669464","doi":"10.1080/09511920600877494","title":"A networked virtual manufacturing system for SMEs","year":2006,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Manufacturing engineering; Key (lock); Virtual prototyping; Virtual reality; Computer-integrated manufacturing; Integrated Computer-Aided Manufacturing; Rapid prototyping; Product (mathematics); Computer science; Engineering; Systems engineering; Operating system; Simulation","score_opus":0.006208226777566083,"score_gpt":0.20354269233007422,"score_spread":0.19733446555250814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011669464","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24600229,0.00050873077,0.6953917,0.0007244778,0.00024770712,0.00054916803,0.0006421659,0.017712705,0.03822098],"genre_scores_gemma":[0.9040444,0.0001557553,0.08812059,0.00009305915,0.000033223216,0.00032658904,0.00052916136,0.000111078305,0.0065861754],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996917,0.00012965476,0.000024033909,0.000047670306,0.0000773109,0.000029536512],"domain_scores_gemma":[0.99963784,0.00009534007,0.000025398123,0.00008829599,0.00009182363,0.00006122445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006643732,0.00031933753,0.00030850273,0.0004354757,0.00058885315,0.0008707921,0.00075428275,0.00052632805,0.009464165],"category_scores_gemma":[0.00083974557,0.00014148162,0.00019142857,0.0003631399,0.00027213956,0.0008079473,0.0016373182,0.00028049859,0.0013745473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033434064,0.0009171511,0.011553616,0.000644251,0.0001332564,0.0024769362,0.0015945152,0.22356309,0.14163248,0.03665198,0.029763656,0.54772574],"study_design_scores_gemma":[0.0005129511,0.00093704474,0.0035760566,0.00011062665,0.00011530756,0.00068343437,0.00046151644,0.863651,0.04083574,0.012972652,0.07605846,0.00008525882],"about_ca_topic_score_codex":0.0011548618,"about_ca_topic_score_gemma":0.0007826732,"teacher_disagreement_score":0.009464165,"about_ca_system_score_codex":0.00043027112,"about_ca_system_score_gemma":0.0004537053,"threshold_uncertainty_score":0.031660795},"labels":[],"label_agreement":null},{"id":"W2057086256","doi":"10.1080/0951192x.2010.511652","title":"A model for measuring products assembly complexity","year":2010,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Complexity index; Measure (data warehouse); Product (mathematics); Complexity management; Metric (unit); Computer science; Variety (cybernetics); Structural complexity; Industrial engineering; Automotive industry; Reliability engineering; Engineering drawing; Manufacturing engineering; Engineering; Data mining; Algorithm; Artificial intelligence; Mathematics; Operations management","score_opus":0.038114733329034256,"score_gpt":0.2501542970139215,"score_spread":0.21203956368488724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057086256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091436714,0.00023514913,0.8982382,0.00022591524,0.000031464435,0.00022060909,0.00071292656,0.0006296993,0.008269249],"genre_scores_gemma":[0.79638207,0.00024805957,0.19797,0.000048959388,0.000038555125,0.0006091784,0.0012829397,0.000082382896,0.003337822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961772,0.0009815528,0.00022055546,0.00046979485,0.001957341,0.00019367038],"domain_scores_gemma":[0.9955575,0.0020310492,0.0007948182,0.0005546951,0.0009357588,0.00012616448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018676165,0.0011977331,0.0005829586,0.0034939244,0.00035793812,0.0017542145,0.0012137677,0.00081536325,0.0024777139],"category_scores_gemma":[0.007471827,0.00033199982,0.0009605592,0.002890833,0.00081947434,0.002378694,0.0011234606,0.0008258853,0.00061073346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014773408,0.00022937347,0.013251042,0.00017417759,0.00010384148,0.00016248705,0.0002526976,0.8294376,0.007365226,0.064318836,0.0025716913,0.081985205],"study_design_scores_gemma":[0.0000072601083,0.000092694565,0.0033953863,0.000014593857,0.000013274786,0.0000725825,0.000030192525,0.9831649,0.0012726762,0.009780386,0.0021402529,0.00001577232],"about_ca_topic_score_codex":0.0031962744,"about_ca_topic_score_gemma":0.00198855,"teacher_disagreement_score":0.0034939244,"about_ca_system_score_codex":0.0024993466,"about_ca_system_score_gemma":0.00077419454,"threshold_uncertainty_score":0.018134058},"labels":[],"label_agreement":null},{"id":"W2070983513","doi":"10.1080/095119200407660","title":"Motion planning for multi-robot assembly systems","year":2000,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rendezvous; Component (thermodynamics); Motion planning; Robot; Travelling salesman problem; Genetic algorithm; Point (geometry); SMT placement equipment; GRASP; Table (database); Optimization problem; Trajectory; Computer science; Mathematical optimization; Process (computing); Engineering; Artificial intelligence; Mathematics","score_opus":0.028527715758748833,"score_gpt":0.27720944411219484,"score_spread":0.248681728353446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070983513","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007317212,0.0013992118,0.98042816,0.00019367668,0.00005825281,0.000090409165,0.00008812116,0.00035701753,0.010067972],"genre_scores_gemma":[0.5680484,0.0032629606,0.40973434,0.00012304165,0.00008953221,0.00061510643,0.0004721934,0.00014189776,0.017512474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997147,0.00010073421,0.000014959386,0.00005453994,0.000089994595,0.000024996269],"domain_scores_gemma":[0.9998592,0.0000757479,0.000020147063,0.000012422098,0.00002573656,0.000006698331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027281136,0.0007953486,0.00050116424,0.0003712513,0.00045928927,0.0005649668,0.000718936,0.00064496195,0.0038156556],"category_scores_gemma":[0.0006017453,0.00032870081,0.00061843987,0.0005667747,0.0006137725,0.0005555652,0.000612137,0.00071331393,0.0006159704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014585875,0.00001140008,0.00007798375,0.00009354669,0.00000897409,0.000051948722,0.000046484496,0.9560295,0.0011793177,0.01657867,0.00050274376,0.025404865],"study_design_scores_gemma":[0.000012278651,0.000025617377,0.00009177068,0.00001865941,0.0000045254455,0.000022422084,0.000023155757,0.98204833,0.0005411737,0.011237237,0.00596808,0.0000066926796],"about_ca_topic_score_codex":0.009010179,"about_ca_topic_score_gemma":0.0068058004,"teacher_disagreement_score":0.009010179,"about_ca_system_score_codex":0.00088842894,"about_ca_system_score_gemma":0.0007136689,"threshold_uncertainty_score":0.017915428},"labels":[],"label_agreement":null},{"id":"W2084143412","doi":"10.1080/09511920500398922","title":"Challenges in design and manufacturing","year":2006,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Design Education and Practice","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; National Research Council Canada","funders":"","keywords":"Computer science; Manufacturing engineering; Systems engineering; Engineering; Business","score_opus":0.032803494095860336,"score_gpt":0.2591114734509563,"score_spread":0.22630797935509597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084143412","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046608653,0.14461201,0.039980974,0.6348923,0.010129707,0.00009173565,0.00015605756,0.00028407312,0.1651923],"genre_scores_gemma":[0.34376323,0.22553846,0.09617243,0.15651426,0.022191428,0.0008620914,0.00038547168,0.0006463087,0.15392624],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9794415,0.008434983,0.00086469075,0.001800303,0.008191792,0.0012667656],"domain_scores_gemma":[0.9760997,0.014281136,0.00084969576,0.002099932,0.0045374194,0.0021320086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01914831,0.00119653,0.001749941,0.0019446635,0.0059019136,0.014168455,0.0038256499,0.012095433,0.01688549],"category_scores_gemma":[0.027096607,0.0007778844,0.0009980985,0.0018737555,0.021316122,0.019242765,0.008884744,0.012615395,0.0056897225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027595548,0.00007050049,0.00027778436,0.00058550487,0.000021303045,0.00014512095,0.001559083,0.0014498531,0.00028591615,0.8354405,0.08439377,0.07574314],"study_design_scores_gemma":[0.000014376425,0.00004441421,0.00018520115,0.0005148423,0.000005160535,0.00021362434,0.0023042788,0.0008782347,0.00011307675,0.40748012,0.58822334,0.000023383001],"about_ca_topic_score_codex":0.0042602634,"about_ca_topic_score_gemma":0.003623281,"teacher_disagreement_score":0.01914831,"about_ca_system_score_codex":0.007543595,"about_ca_system_score_gemma":0.010073473,"threshold_uncertainty_score":0.1012671},"labels":[],"label_agreement":null},{"id":"W2091112170","doi":"10.1080/09511920050117955","title":"Computers in industry: Diebold's view from mid-century","year":2000,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"History of Computing Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field (mathematics); Engineering; Computer science; Data science; Manufacturing engineering","score_opus":0.011799178919824304,"score_gpt":0.23872073477957667,"score_spread":0.22692155585975238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091112170","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008052551,0.4016303,0.007077259,0.20029946,0.006334885,0.00002206847,0.00010326543,0.00006818753,0.37641206],"genre_scores_gemma":[0.22051731,0.5488559,0.0036361217,0.061097376,0.0141032385,0.00007885281,0.00008704918,0.0001401571,0.15148401],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985948,0.0004991897,0.00005377651,0.00024408764,0.00043351995,0.00017457904],"domain_scores_gemma":[0.99873394,0.0008009339,0.000088788904,0.00006769252,0.00020182789,0.00010679236],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017438293,0.0006938477,0.00036142275,0.002843633,0.003764423,0.007995839,0.0005585899,0.004511118,0.0034342958],"category_scores_gemma":[0.003758994,0.00031062946,0.000247748,0.0022384303,0.013466186,0.009854508,0.0023893565,0.005429677,0.0015319057],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018789904,0.000013215231,0.00016405273,0.000089968096,0.0000034342663,0.00009596702,0.0022852346,0.00016895695,0.00005577239,0.93659693,0.03628165,0.024226008],"study_design_scores_gemma":[0.000002992615,0.000010220361,0.00014700016,0.00033858343,0.0000019419701,0.00013429114,0.0008241116,0.000056939123,0.0001162254,0.08183369,0.91652715,0.000006895304],"about_ca_topic_score_codex":0.0058992063,"about_ca_topic_score_gemma":0.005117707,"teacher_disagreement_score":0.99623555,"about_ca_system_score_codex":0.0056268647,"about_ca_system_score_gemma":0.0037809503,"threshold_uncertainty_score":0.040826023},"labels":[],"label_agreement":null},{"id":"W2095225531","doi":"10.1080/09511920410001719811","title":"Design optimization and remote manipulation of a tripod","year":2004,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tripod (photography); Kinematics; Controllability; Automation; Computer science; Control engineering; Machine tool; Engineering; Mechanical engineering","score_opus":0.01331439120825443,"score_gpt":0.2155930007288254,"score_spread":0.20227860952057097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095225531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054897964,0.00022094368,0.9352724,0.000072564646,0.00003430841,0.00014539258,0.00004293421,0.00034843225,0.008965009],"genre_scores_gemma":[0.8167819,0.00023628458,0.17703043,0.000039507642,0.000018358907,0.00035534168,0.000100588586,0.00007832681,0.0053593474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975675,0.000042370564,0.000010969558,0.00007880274,0.000082667066,0.000028344863],"domain_scores_gemma":[0.9997025,0.00008466,0.000057063484,0.00005970645,0.00007316915,0.000022826514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000286882,0.0005498082,0.00047794633,0.0003402718,0.00024528668,0.000588001,0.0006208029,0.0005706036,0.0028437602],"category_scores_gemma":[0.0006728708,0.000287509,0.00048311675,0.0002216312,0.0003680203,0.00043783538,0.0005293205,0.00041365038,0.00045026408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018974055,0.0001403402,0.0010830103,0.0006396907,0.00009060681,0.0003556553,0.00016713211,0.70626074,0.14323021,0.009824951,0.0010693135,0.13694862],"study_design_scores_gemma":[0.00004961845,0.0007861921,0.0006425972,0.00001661121,0.000041003346,0.00016848044,0.000052815696,0.97422767,0.01634144,0.0018823085,0.005771964,0.00001930011],"about_ca_topic_score_codex":0.0007457859,"about_ca_topic_score_gemma":0.00071047473,"teacher_disagreement_score":0.0028437602,"about_ca_system_score_codex":0.00024495108,"about_ca_system_score_gemma":0.00041442004,"threshold_uncertainty_score":0.009513378},"labels":[],"label_agreement":null},{"id":"W2110263522","doi":"10.1080/09511920802232902","title":"Asking the right questions to elicit product requirements","year":2009,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Design Education and Practice","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Process (computing); Product (mathematics); Domain (mathematical analysis); New product development; Software engineering; Object (grammar); Domain analysis; Software; Software development; Programming language; Artificial intelligence; Mathematics","score_opus":0.015772452676061584,"score_gpt":0.288729001908017,"score_spread":0.2729565492319554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110263522","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07359571,0.0010575022,0.8768697,0.005909563,0.00019072536,0.006538047,0.00089801877,0.0020219332,0.032918874],"genre_scores_gemma":[0.21160981,0.0011037056,0.7744968,0.0022747153,0.0001209604,0.0030002412,0.001046146,0.00030946438,0.006038146],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9776293,0.016727624,0.0015655481,0.0009956878,0.0025795137,0.00050225866],"domain_scores_gemma":[0.9518164,0.036904216,0.0020968795,0.003294792,0.0053344946,0.00055334286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016083682,0.0011241998,0.0008490195,0.0017000894,0.000816386,0.0019024442,0.0011129344,0.002922188,0.006282533],"category_scores_gemma":[0.044595156,0.0005288634,0.00071962515,0.00078983884,0.0010698304,0.0039813984,0.0016402807,0.0016131687,0.003938242],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081305933,0.001511733,0.010018825,0.007094346,0.00009999962,0.0023753033,0.045184057,0.010851544,0.12554038,0.067087986,0.02851374,0.70090914],"study_design_scores_gemma":[0.0006655794,0.0034454414,0.022180693,0.004428175,0.00028057824,0.0055428045,0.046549246,0.08638281,0.12319185,0.12273515,0.58381057,0.00078708655],"about_ca_topic_score_codex":0.00058096845,"about_ca_topic_score_gemma":0.0007547371,"teacher_disagreement_score":0.016083682,"about_ca_system_score_codex":0.0008816431,"about_ca_system_score_gemma":0.0015407439,"threshold_uncertainty_score":0.0850597},"labels":[],"label_agreement":null},{"id":"W2130544858","doi":"10.1080/09511920802014912","title":"Web-based decision making for collaborative manufacturing","year":2008,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science","score_opus":0.013176571502018607,"score_gpt":0.24607189913201372,"score_spread":0.2328953276299951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130544858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027861602,0.00053985196,0.9871516,0.00041227174,0.00006522202,0.000105250416,0.000039006325,0.00021056297,0.008690053],"genre_scores_gemma":[0.24777454,0.0011133129,0.7462547,0.00025357716,0.00013733236,0.0005477689,0.00017129375,0.000086763575,0.003660636],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9949025,0.0021350093,0.00041700754,0.0005958681,0.0017355004,0.00021411007],"domain_scores_gemma":[0.99564505,0.0028899594,0.00028818895,0.00047844215,0.0005331288,0.00016518489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004774137,0.0010842413,0.0011880927,0.0011371315,0.0013708038,0.003947562,0.0020225546,0.0019371152,0.006178439],"category_scores_gemma":[0.006846277,0.00059325504,0.001468519,0.0015023629,0.0023085044,0.0032482012,0.0032870674,0.002321787,0.0010116522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009309673,0.0002562096,0.0004532834,0.00044620677,0.00015102603,0.00038417603,0.00041922004,0.39836153,0.0024013463,0.44764,0.002473304,0.14692076],"study_design_scores_gemma":[0.00006123289,0.000059254166,0.0001638752,0.00014428393,0.000040351955,0.00010688529,0.000114987655,0.68407637,0.0021870085,0.28882667,0.024166873,0.000052277355],"about_ca_topic_score_codex":0.003983193,"about_ca_topic_score_gemma":0.0034935905,"teacher_disagreement_score":0.006178439,"about_ca_system_score_codex":0.001916292,"about_ca_system_score_gemma":0.0022383705,"threshold_uncertainty_score":0.025248349},"labels":[],"label_agreement":null},{"id":"W2151117104","doi":"10.1080/09511920802389553","title":"Concurrent design of product modules structure and global supply chain configurations","year":2009,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Supply chain; Postponement; Business; Product (mathematics); Order (exchange); Industrial organization; Supply chain management; Currency; Modular design; Computer science; Operations research; Engineering; Economics; Marketing; Finance; Mathematics","score_opus":0.011639843582694688,"score_gpt":0.2257039320251518,"score_spread":0.2140640884424571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151117104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4723387,0.00020489238,0.5192764,0.00009077403,0.000019225836,0.0001944713,0.000039662475,0.00031310064,0.0075227655],"genre_scores_gemma":[0.9648689,0.000057421417,0.034086477,0.00000828159,0.0000032742819,0.00005851354,0.000022522005,0.000019886862,0.0008747246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940467,0.00019224145,0.000026288584,0.00014395706,0.0001293022,0.000103556165],"domain_scores_gemma":[0.99880433,0.0005755065,0.00023448595,0.0001260369,0.00018802185,0.00007163138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011893054,0.00062236015,0.0005215545,0.00041323298,0.0003193424,0.0010424332,0.00082365016,0.00033275047,0.0028022765],"category_scores_gemma":[0.0022365076,0.00042498668,0.00038042324,0.0004159416,0.00070508296,0.001004737,0.0011517071,0.00040793244,0.00018612902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016552443,0.00007542627,0.0012635808,0.00009446275,0.000022809465,0.00013649717,0.00014571332,0.9287082,0.015661601,0.0069121444,0.00012997774,0.046684],"study_design_scores_gemma":[0.00007963581,0.00045902893,0.0005795002,0.000017467542,0.00005652369,0.000050112663,0.00009403646,0.980645,0.010375261,0.006397264,0.0012352322,0.000010918074],"about_ca_topic_score_codex":0.00093439705,"about_ca_topic_score_gemma":0.0013812938,"teacher_disagreement_score":0.0028022765,"about_ca_system_score_codex":0.0007174826,"about_ca_system_score_gemma":0.0007422843,"threshold_uncertainty_score":0.009374559},"labels":[],"label_agreement":null},{"id":"W2160682719","doi":"10.1080/09511920903440339","title":"Optimal resource allocation for hybrid flow shop in one-of-a-kind production","year":2010,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pruning; Production (economics); Resource (disambiguation); Operations research; Computer science; Interval (graph theory); Resource allocation; Plan (archaeology); Industrial engineering; Mathematical optimization; Engineering; Mathematics; Economics; Geography","score_opus":0.012001733732084293,"score_gpt":0.23297712806946924,"score_spread":0.22097539433738494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160682719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39351147,0.00020664961,0.6021877,0.0001116897,0.000023214405,0.00008705423,0.0000876722,0.0002999574,0.0034846195],"genre_scores_gemma":[0.94280845,0.00003974911,0.05623823,0.000014422021,0.000005710821,0.00004926189,0.000039758776,0.000023537477,0.0007807681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963105,0.00013593733,0.000011024411,0.00006025795,0.000056741792,0.00010495742],"domain_scores_gemma":[0.9993734,0.00043229386,0.00007101995,0.000027142252,0.00003682721,0.000059371938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008767307,0.000476218,0.0009354927,0.00042277804,0.00045012677,0.0006653446,0.0007368276,0.00059045764,0.0015551175],"category_scores_gemma":[0.0009472453,0.00038998493,0.00044789634,0.00044089847,0.00066035904,0.000666191,0.0006290702,0.00041155572,0.000082966886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018452614,0.000048873866,0.0003891876,0.000057938832,0.000021705193,0.00008585888,0.000044935918,0.98262227,0.0026058892,0.0034712912,0.00024666602,0.010220889],"study_design_scores_gemma":[0.00001707757,0.00004601253,0.0001710336,0.0000020100188,0.000005656376,0.000013778047,0.0000117893605,0.9972537,0.0005162406,0.0018394975,0.0001198758,0.0000033597016],"about_ca_topic_score_codex":0.005604179,"about_ca_topic_score_gemma":0.004235578,"teacher_disagreement_score":0.005604179,"about_ca_system_score_codex":0.0008957812,"about_ca_system_score_gemma":0.00076131057,"threshold_uncertainty_score":0.011143088},"labels":[],"label_agreement":null},{"id":"W2466152282","doi":"10.1080/0951192x.2015.1099072","title":"Integrated products–systems design environment using Bayesian networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Bayesian network; Computer science; Systems engineering; Bayesian probability; Artificial intelligence; Engineering","score_opus":0.04542854404515228,"score_gpt":0.24548341242834104,"score_spread":0.20005486838318876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466152282","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00087624916,0.000059325524,0.9970306,0.000053591804,0.000007036731,0.000046923236,0.00005185377,0.00047875356,0.0013956666],"genre_scores_gemma":[0.06939046,0.00030939668,0.9273391,0.000056119443,0.000022180615,0.0004980497,0.00036046823,0.00015194171,0.001872325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967361,0.0015617437,0.00018762732,0.00046037228,0.0009374627,0.00011659026],"domain_scores_gemma":[0.9968822,0.0021522613,0.00026460565,0.00024745738,0.0003785883,0.000074890784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038252561,0.0016312195,0.001043466,0.0017579282,0.0006871167,0.002547085,0.0018780966,0.0013671056,0.006705956],"category_scores_gemma":[0.008379938,0.0015050498,0.0019137519,0.0012207429,0.0011696145,0.0024555672,0.002178024,0.0018605606,0.0013196052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008120078,0.000053001517,0.0005203532,0.00019684622,0.00007804892,0.0001116353,0.00017478588,0.8767114,0.0015276043,0.058609754,0.0011916219,0.060743812],"study_design_scores_gemma":[0.000028632934,0.000028355624,0.00007392602,0.000036542642,0.000024294084,0.000030899795,0.000015523263,0.96132284,0.00078832137,0.03191589,0.005722392,0.000012278155],"about_ca_topic_score_codex":0.0048455475,"about_ca_topic_score_gemma":0.005757341,"teacher_disagreement_score":0.006705956,"about_ca_system_score_codex":0.0013338526,"about_ca_system_score_gemma":0.0021394459,"threshold_uncertainty_score":0.022433698},"labels":[],"label_agreement":null},{"id":"W2565346001","doi":"10.1080/0951192x.2016.1268718","title":"Manufacturing knowledge management based on STEP-NC standard: a Closed-Loop Manufacturing approach","year":2016,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"National Cancer Institute","keywords":"Manufacturing engineering; Computer-aided manufacturing; Numerical control; Process (computing); Machine tool; Manufacturing execution system; Machining; Ontology; Computer-integrated manufacturing; Integrated Computer-Aided Manufacturing; CAD; Reuse; Computer science; Process development execution system; Engineering; Digital manufacturing; Engineering drawing; Mechanical engineering; Operating system","score_opus":0.00901383429584256,"score_gpt":0.22336372888143663,"score_spread":0.21434989458559406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565346001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060428446,0.00014279792,0.9809241,0.00067375205,0.000047848145,0.00040928312,0.00019427759,0.0018884458,0.009676702],"genre_scores_gemma":[0.1270002,0.00039523782,0.8616199,0.00039468164,0.000049034465,0.0007042782,0.0015404011,0.00034453056,0.007951682],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9915827,0.0019596603,0.001470018,0.0014097483,0.0030593968,0.00051852845],"domain_scores_gemma":[0.9896784,0.0029645897,0.00083773065,0.0033130283,0.002740741,0.00046547496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006946028,0.0006834884,0.00065991486,0.0031210808,0.0012938977,0.0069444627,0.0037469312,0.0019484385,0.0022205727],"category_scores_gemma":[0.008864444,0.0006840791,0.0016791917,0.0020660856,0.002905312,0.007485599,0.0055153696,0.0023299616,0.0012080623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018642347,0.00047958782,0.0029481794,0.0011285188,0.00015632156,0.0010633668,0.0054639047,0.023583068,0.019210039,0.6759994,0.006190937,0.2635902],"study_design_scores_gemma":[0.000086567605,0.00025942642,0.0029709495,0.0009491389,0.00028782952,0.001441579,0.0024703788,0.2244694,0.044902965,0.341003,0.3809333,0.00022539661],"about_ca_topic_score_codex":0.00903212,"about_ca_topic_score_gemma":0.005514329,"teacher_disagreement_score":0.00903212,"about_ca_system_score_codex":0.003347043,"about_ca_system_score_gemma":0.008211208,"threshold_uncertainty_score":0.03673452},"labels":[],"label_agreement":null},{"id":"W2885385476","doi":"10.1080/0951192x.2018.1493231","title":"<b>Analysing</b> Causal dependencies of composite service resilience in cloud manufacturing using resource-based theory and DEMATEL method","year":2018,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud manufacturing; Resource (disambiguation); Cloud computing; Computer science; Resilience (materials science); Context (archaeology); Construct (python library); Service (business); Knowledge management; Service-oriented architecture; Business; Web service; World Wide Web; Marketing; Materials science","score_opus":0.016082348744483603,"score_gpt":0.2689421937941549,"score_spread":0.2528598450496713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885385476","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27831402,0.0006427979,0.6964779,0.0025336235,0.00008659774,0.0006392126,0.00076202856,0.0002692686,0.020274533],"genre_scores_gemma":[0.93212444,0.00036343056,0.06582681,0.00011228488,0.000022975608,0.00044180657,0.0002222255,0.00002312478,0.0008629076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970841,0.0017372064,0.0001730691,0.0003785534,0.0004212626,0.00020589995],"domain_scores_gemma":[0.974082,0.02149137,0.0021722456,0.00083529105,0.0011529996,0.00026615863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052114,0.0006806364,0.00047445,0.00559668,0.0009457758,0.002105603,0.00085987337,0.0008333613,0.006881372],"category_scores_gemma":[0.019004941,0.0004039919,0.0017065834,0.003509325,0.002155256,0.0036034903,0.001842512,0.0014516652,0.0003296008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025079108,0.00045404836,0.15908098,0.0010968498,0.0004893228,0.0013124394,0.008019687,0.13276672,0.0023997095,0.5948256,0.002461434,0.096842445],"study_design_scores_gemma":[0.000054406533,0.0002496561,0.054120336,0.00045669219,0.0002805352,0.0005614111,0.007787425,0.6763763,0.0022852824,0.24861133,0.009083149,0.00013354153],"about_ca_topic_score_codex":0.009892873,"about_ca_topic_score_gemma":0.006523754,"teacher_disagreement_score":0.009892873,"about_ca_system_score_codex":0.0036169204,"about_ca_system_score_gemma":0.0028870692,"threshold_uncertainty_score":0.02756083},"labels":[],"label_agreement":null},{"id":"W3098678458","doi":"10.1080/0951192x.2020.1836677","title":"Prepared for work in Industry 4.0? Modelling the target activity system and five dimensions of worker readiness","year":2020,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Ontario Centres of Excellence","keywords":"Competence (human resources); Mainstream; Knowledge management; Industry 4.0; Human resources; Construct (python library); Engineering; Engineering management; Business; Computer science; Process management; Management; Political science","score_opus":0.022111386943454152,"score_gpt":0.22980718901738154,"score_spread":0.20769580207392738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098678458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7368374,0.0022697516,0.13909836,0.008572646,0.00010248202,0.00044333437,0.0006397844,0.00032519375,0.11171097],"genre_scores_gemma":[0.976498,0.00072367396,0.02029106,0.00012995675,0.0000062356216,0.0001591342,0.00020537754,0.000019914523,0.0019666029],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983766,0.0010571268,0.00007187416,0.00017541113,0.00015773493,0.00016130834],"domain_scores_gemma":[0.99712425,0.0016718763,0.00045472622,0.00022494787,0.00036162534,0.00016254792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035664418,0.00045842738,0.0002608116,0.0023929132,0.00085238914,0.0052679614,0.0006638084,0.0008160667,0.002506852],"category_scores_gemma":[0.00531123,0.00030975646,0.0009155675,0.0019300871,0.0021715704,0.004850259,0.0017304363,0.00073928235,0.0006609046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021602063,0.00040007237,0.23591204,0.0017045579,0.00020143644,0.0004327458,0.056508124,0.035977323,0.0023839115,0.46174967,0.005650465,0.19886366],"study_design_scores_gemma":[0.000103605234,0.0008817958,0.18946412,0.003462681,0.00038561586,0.0005238027,0.19237992,0.16058163,0.003218291,0.3284657,0.12025988,0.00027301864],"about_ca_topic_score_codex":0.016422786,"about_ca_topic_score_gemma":0.020505304,"teacher_disagreement_score":0.016422786,"about_ca_system_score_codex":0.0037033802,"about_ca_system_score_gemma":0.0056798956,"threshold_uncertainty_score":0.032654345},"labels":[],"label_agreement":null},{"id":"W3164670913","doi":"10.1080/0951192x.2021.1925968","title":"Experimental and analytical evaluation of tool path error using computer integrated nonlinear kinematical modeling for a 4DOF parallel milling machine","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Jacobian matrix and determinant; Kinematics; Nonlinear system; Machining; Trajectory; Control theory (sociology); Path (computing); Interpolation (computer graphics); Inverse kinematics; Computer science; Machine tool; Algorithm; Matrix (chemical analysis); Inverse; Mathematics; Applied mathematics; Geometry; Engineering; Artificial intelligence; Motion (physics); Mechanical engineering","score_opus":0.042258802538836716,"score_gpt":0.30322166096573266,"score_spread":0.2609628584268959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164670913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70079875,0.00011725406,0.2964279,0.000046968788,0.000025320996,0.0000686132,0.000115167015,0.00064840575,0.0017516115],"genre_scores_gemma":[0.9614441,0.000048090606,0.03785349,0.0000039894126,0.0000017475103,0.000030632626,0.000041520278,0.000014170239,0.0005624515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967957,0.00003591717,0.000020164105,0.00005441069,0.00018803196,0.000021957214],"domain_scores_gemma":[0.9989612,0.00035369006,0.000168771,0.00022330569,0.00027341986,0.000019623116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061818055,0.00040801475,0.0002791806,0.00035098256,0.00026033557,0.00025089455,0.0005935967,0.0004540568,0.0009849399],"category_scores_gemma":[0.0013313206,0.0001940336,0.00022348925,0.00036352233,0.00038432286,0.00045527032,0.00026883298,0.0003487778,0.00009829005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005917,0.0003255463,0.008039373,0.0004456371,0.000037514503,0.00027103646,0.00049282383,0.6005262,0.2862013,0.0030669195,0.0004654061,0.09953644],"study_design_scores_gemma":[0.000015240233,0.00043333627,0.0033704073,0.000008433973,0.000012362474,0.000074201234,0.000040499363,0.92220855,0.07288755,0.0002858036,0.00063795585,0.000025710699],"about_ca_topic_score_codex":0.002009141,"about_ca_topic_score_gemma":0.0017464128,"teacher_disagreement_score":0.002009141,"about_ca_system_score_codex":0.00026315075,"about_ca_system_score_gemma":0.00040715703,"threshold_uncertainty_score":0.0039949417},"labels":[],"label_agreement":null},{"id":"W3198148605","doi":"10.1080/0951192x.2021.1972468","title":"Lean techniques impact evaluation methodology based on a co-simulation framework for manufacturing systems","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Response Biomedical (Canada); York University","funders":"","keywords":"Diversification (marketing strategy); Lean manufacturing; Context (archaeology); Productivity; Performance indicator; Computer science; Industrial production; Lead time; Production (economics); Work (physics); Manufacturing engineering; Industrial engineering; Business; Operations management; Engineering; Marketing; Economics","score_opus":0.09941093003717712,"score_gpt":0.39162248508884295,"score_spread":0.29221155505166585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198148605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030762188,0.000097967866,0.9628453,0.00007374016,0.000021802414,0.0005070749,0.000099305485,0.0005861028,0.005006511],"genre_scores_gemma":[0.5612752,0.00016599767,0.43604046,0.000036833757,0.000013701013,0.0012050484,0.00021858762,0.00007814621,0.00096603215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823475,0.0009740932,0.00011001524,0.000118493095,0.0004506621,0.00011197868],"domain_scores_gemma":[0.99766517,0.0014990751,0.00019467795,0.00015454406,0.00040863594,0.000077914374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025763847,0.0010699991,0.00051682617,0.0022458686,0.0005750152,0.0013886576,0.0010816812,0.0006245099,0.0026174719],"category_scores_gemma":[0.0039183097,0.00033476495,0.0010297917,0.0010135502,0.000640115,0.0010281345,0.0012741885,0.0009391695,0.00019682587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012354871,0.00030295298,0.0031433376,0.0003048958,0.00011624738,0.00015227041,0.00037527262,0.8934921,0.005298894,0.046434145,0.00041209048,0.049844176],"study_design_scores_gemma":[0.000012050208,0.000109667606,0.00045256963,0.000029928093,0.000023190509,0.000022798575,0.00008972244,0.9913032,0.0017160955,0.004886426,0.0013420332,0.000012288439],"about_ca_topic_score_codex":0.0044319173,"about_ca_topic_score_gemma":0.004019436,"teacher_disagreement_score":0.0044319173,"about_ca_system_score_codex":0.0013993144,"about_ca_system_score_gemma":0.0014538378,"threshold_uncertainty_score":0.013625383},"labels":[],"label_agreement":null},{"id":"W3204616779","doi":"10.1080/0951192x.2021.1946851","title":"Process planning solution strategies for fabrication of thin-wall domes using directed energy deposition","year":2021,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Slicing; Partition (number theory); Process (computing); Planar; Wedge (geometry); Mechanical engineering; Deposition (geology); Fabrication; Engineering drawing; Computer science; Engineering; Materials science; Geometry; Geology; Computer graphics (images)","score_opus":0.01946630030628959,"score_gpt":0.2669459048882639,"score_spread":0.24747960458197432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204616779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016441714,0.00014922961,0.9806975,0.000034378438,0.00001013391,0.00009664778,0.000041863714,0.00025359093,0.002275009],"genre_scores_gemma":[0.17563783,0.00028640428,0.8218638,0.00002016254,0.0000039104802,0.00018105147,0.00014685575,0.00008512127,0.0017748682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975663,0.000039423558,0.000015361764,0.000060369406,0.00008605298,0.0000420927],"domain_scores_gemma":[0.9997036,0.00014763305,0.00004089477,0.000034819393,0.000052408817,0.000020576796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004373359,0.0011631326,0.0005981928,0.0007424318,0.0006218582,0.0010562293,0.00097512745,0.00084570266,0.0024526396],"category_scores_gemma":[0.00073739415,0.00067383016,0.000853658,0.00046671057,0.00055564224,0.0005899432,0.0010012611,0.00068100594,0.00046799224],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006751643,0.00006271169,0.0006667599,0.00022646067,0.000024901705,0.0002909876,0.0001752018,0.90413433,0.028979667,0.0104768975,0.0005084603,0.054386117],"study_design_scores_gemma":[0.000018703004,0.00007891128,0.0001718691,0.000017364207,0.000012250521,0.0000975566,0.00007459038,0.9790885,0.013448222,0.004228014,0.0027475816,0.000016330094],"about_ca_topic_score_codex":0.0028556974,"about_ca_topic_score_gemma":0.0049537737,"teacher_disagreement_score":0.0028556974,"about_ca_system_score_codex":0.0006370452,"about_ca_system_score_gemma":0.0014909535,"threshold_uncertainty_score":0.008204877},"labels":[],"label_agreement":null},{"id":"W4281794524","doi":"10.1080/0951192x.2022.2080451","title":"Transition towards Smart Factories","year":2022,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Transition (genetics); Business; Computer science; Engineering; Chemistry","score_opus":0.01264997015389258,"score_gpt":0.21881537579059518,"score_spread":0.2061654056367026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281794524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7312967,0.00057707634,0.0075730537,0.016762178,0.00038106093,0.00012083484,0.0002738221,0.0003130062,0.24270228],"genre_scores_gemma":[0.9059197,0.00047734668,0.0026797731,0.0020608292,0.000043411725,0.0000248297,0.00014823118,0.000045264685,0.0886006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991498,0.00007199762,0.000025958032,0.00016615476,0.00020393383,0.00038222098],"domain_scores_gemma":[0.9993555,0.00006867296,0.00005704101,0.000090085035,0.00015747652,0.00027118856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010859397,0.00035866484,0.00016933081,0.0005482174,0.0019485618,0.0048723114,0.00052783295,0.0019814558,0.026169984],"category_scores_gemma":[0.0013005176,0.0002313822,0.0003735591,0.0006034873,0.0022462457,0.0050089816,0.0030739594,0.0016978412,0.004165799],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007006387,0.0007810049,0.015772548,0.00025513628,0.000044282147,0.0030655786,0.023091938,0.0019258626,0.016171351,0.6776484,0.0641457,0.19639757],"study_design_scores_gemma":[0.00007285401,0.0007168735,0.03815664,0.00013904477,0.000015424097,0.0006299295,0.022887139,0.0014129787,0.00351011,0.025670575,0.9067288,0.00005954234],"about_ca_topic_score_codex":0.01131208,"about_ca_topic_score_gemma":0.020088242,"teacher_disagreement_score":0.026169984,"about_ca_system_score_codex":0.0035749478,"about_ca_system_score_gemma":0.004058788,"threshold_uncertainty_score":0.0875473},"labels":[],"label_agreement":null},{"id":"W4381838392","doi":"10.1080/0951192x.2023.2204467","title":"Review of task allocation for human-robot collaboration in assembly","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Task (project management); Flexibility (engineering); Robot; Computer science; Process (computing); Modalities; Human–computer interaction; Knowledge management; Management science; Risk analysis (engineering); Artificial intelligence; Process management; Systems engineering; Engineering; Business","score_opus":0.013650025740343243,"score_gpt":0.29986653286110276,"score_spread":0.2862165071207595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381838392","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005232605,0.9958619,0.0016977224,0.0003039596,0.00020648277,0.000039591716,0.00006766052,0.000014730484,0.001284785],"genre_scores_gemma":[0.0065363995,0.9899378,0.0024396454,0.0002372869,0.00018616888,0.00009592536,0.0001349091,0.000010934868,0.0004209729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973143,0.0009571956,0.0006189444,0.00036135706,0.0006231424,0.00012513653],"domain_scores_gemma":[0.9903617,0.007075824,0.0010146312,0.00018252453,0.0012478594,0.000117455675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003230798,0.0015229762,0.0020253728,0.0063689305,0.0006027285,0.0023098523,0.0018543943,0.0017061001,0.0048829117],"category_scores_gemma":[0.012804645,0.0006666874,0.0019211208,0.008587365,0.00062702905,0.0022124704,0.00091872603,0.0008088999,0.0012628434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018014475,0.00008482488,0.0003814745,0.24670725,0.00051519077,0.00013339166,0.00033386276,0.0022893602,0.00075821724,0.006697948,0.013920335,0.727998],"study_design_scores_gemma":[0.000088930516,0.00081495,0.004398674,0.257126,0.0041836924,0.0012033153,0.0010040269,0.002854658,0.0018353574,0.009889993,0.7164616,0.00013879525],"about_ca_topic_score_codex":0.0047110477,"about_ca_topic_score_gemma":0.005772718,"teacher_disagreement_score":0.0063689305,"about_ca_system_score_codex":0.0018435804,"about_ca_system_score_gemma":0.0061565796,"threshold_uncertainty_score":0.017086267},"labels":[],"label_agreement":null},{"id":"W4382776149","doi":"10.1080/0951192x.2023.2228254","title":"Α Behavior Trees-based architecture towards operation planning in hybrid manufacturing","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Canadian Institute for Advanced Research","keywords":"Architecture; Computer science; Engineering; Systems engineering; Manufacturing engineering; Distributed computing; Process management; Geography","score_opus":0.015107215600138923,"score_gpt":0.2607902484653669,"score_spread":0.245683032865228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382776149","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014091669,0.00019812999,0.98206615,0.00011782971,0.000014880411,0.000051896888,0.000061731494,0.0004177661,0.002979864],"genre_scores_gemma":[0.48305196,0.0005092845,0.5122234,0.0000978676,0.000021995096,0.00023056394,0.00029375052,0.00011877404,0.0034523595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959844,0.00013948849,0.000025566895,0.000074430485,0.0001090425,0.00005305233],"domain_scores_gemma":[0.9996922,0.00014031869,0.00003889789,0.000036044727,0.00006305556,0.000029604405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059076137,0.00044948465,0.0003042018,0.00059271476,0.00037553164,0.0011325931,0.0010021625,0.00055786653,0.0020155234],"category_scores_gemma":[0.0009813504,0.00035695516,0.0007450748,0.0007338567,0.0007385711,0.0010331047,0.0008769367,0.00079010724,0.00041082682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006565747,0.000056899564,0.0008413382,0.000103628765,0.000050117145,0.00015676947,0.00021765265,0.8386995,0.005280329,0.08468463,0.0009517536,0.068891674],"study_design_scores_gemma":[0.00000464785,0.000027668973,0.00013960502,0.000014317532,0.000011979733,0.00002124989,0.000029954552,0.96188545,0.0009290294,0.034060333,0.002870042,0.0000056994786],"about_ca_topic_score_codex":0.0077230562,"about_ca_topic_score_gemma":0.0071562673,"teacher_disagreement_score":0.0077230562,"about_ca_system_score_codex":0.0010939456,"about_ca_system_score_gemma":0.0012481551,"threshold_uncertainty_score":0.015356243},"labels":[],"label_agreement":null},{"id":"W4386961131","doi":"10.1080/0951192x.2023.2257623","title":"Smart manufacturing under limited and heterogeneous data: a sim-to-real transfer learning with convolutional variational autoencoder in thermoforming","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Autoencoder; Transfer of learning; Deep learning; Computer science; Artificial intelligence; Machine learning; Generalization; Benchmark (surveying); Convolutional neural network; Dimensionality reduction; Quality (philosophy); Thermoforming; Data mining; Engineering; Mathematics; Mechanical engineering","score_opus":0.021032311267641456,"score_gpt":0.27061542423756463,"score_spread":0.24958311296992317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386961131","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16876267,0.00033195675,0.8286361,0.00024361005,0.000029196972,0.00002780399,0.000049439357,0.00039769823,0.0015216542],"genre_scores_gemma":[0.96021676,0.00012868886,0.038259782,0.000055945304,0.000010108532,0.000029282575,0.00008431657,0.000029012666,0.001186251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983656,0.000052931635,0.000007333206,0.000049193844,0.000036775473,0.000017056022],"domain_scores_gemma":[0.9997669,0.00013517274,0.000018430088,0.000034689485,0.00003510301,0.00000966959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075618346,0.00035046064,0.00041825426,0.00015923893,0.00014522557,0.00042077573,0.00059014966,0.0005098935,0.00046786666],"category_scores_gemma":[0.0011435105,0.0002958124,0.0004715549,0.00020241179,0.00067022344,0.00073304906,0.00071080105,0.00086253666,0.000094633375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037038877,0.000023672437,0.000490274,0.000022315253,0.00001921953,0.000042131636,0.000034640416,0.97239435,0.004524313,0.0031620695,0.00015361706,0.019096369],"study_design_scores_gemma":[5.077796e-7,0.000006211459,0.000054844775,7.0467155e-7,9.987456e-7,0.000002812524,0.0000015215609,0.9989221,0.0005321429,0.00043523687,0.00004172677,0.00000117375],"about_ca_topic_score_codex":0.005576524,"about_ca_topic_score_gemma":0.0038964343,"teacher_disagreement_score":0.005576524,"about_ca_system_score_codex":0.0004677436,"about_ca_system_score_gemma":0.0005425856,"threshold_uncertainty_score":0.011088133},"labels":[],"label_agreement":null},{"id":"W4390112005","doi":"10.1080/0951192x.2023.2294442","title":"Multi-agent modelling of cyber-physical systems for IEC 61499-based distributed intelligent automation","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Flexible and Reconfigurable Manufacturing Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Automation; Cyber-physical system; Block (permutation group theory); Embedded system; Computer science; Adaptation (eye); Distributed computing; Function (biology); Systems engineering; Engineering; Operating system; Computer network","score_opus":0.03583722462046996,"score_gpt":0.2596986686811476,"score_spread":0.22386144406067765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390112005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012570749,0.00018513868,0.9771712,0.000119483564,0.000057065972,0.00007016524,0.000054364005,0.00033450636,0.009437305],"genre_scores_gemma":[0.6478271,0.00061534956,0.3331833,0.00008479365,0.000044253018,0.00050048326,0.00022328981,0.00013956719,0.017381838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980813,0.000063051746,0.00001010349,0.000026999875,0.00007459989,0.000017145034],"domain_scores_gemma":[0.9998927,0.00003371744,0.000018753288,0.000016984535,0.000029353838,0.000008555662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025242585,0.000572692,0.00036424666,0.000292376,0.0003505624,0.0009652799,0.0007925844,0.0007098679,0.002201135],"category_scores_gemma":[0.00038673842,0.00025514554,0.0006909977,0.00019560549,0.00048362243,0.00073530304,0.0004578963,0.00084899645,0.00054846227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030636787,0.000029668545,0.00041757757,0.00007343637,0.00002135409,0.000110701556,0.00010148175,0.93229055,0.0066108597,0.049552143,0.00048396297,0.0102775665],"study_design_scores_gemma":[0.000005855215,0.000015137313,0.000095015916,0.0000058782944,0.0000059269073,0.00001416725,0.000008092597,0.99224913,0.0007821004,0.0034510656,0.003364157,0.0000034324955],"about_ca_topic_score_codex":0.0035708433,"about_ca_topic_score_gemma":0.0042915465,"teacher_disagreement_score":0.0035708433,"about_ca_system_score_codex":0.0005192905,"about_ca_system_score_gemma":0.00076598325,"threshold_uncertainty_score":0.007363558},"labels":[],"label_agreement":null},{"id":"W4393943980","doi":"10.1080/0951192x.2024.2335972","title":"A digital twin-driven part spatio-temporal quality prediction framework integrated with equipment degradation state analysis","year":2024,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Degradation (telecommunications); Quality (philosophy); Computer science; State (computer science); Algorithm; Telecommunications; Physics","score_opus":0.012074528859471724,"score_gpt":0.24583461595143183,"score_spread":0.2337600870919601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393943980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016783549,0.00023980766,0.98086506,0.00008610859,0.00001807025,0.000037798185,0.00024240409,0.000921748,0.00080548204],"genre_scores_gemma":[0.78034645,0.00047359677,0.21500373,0.00009360495,0.000043980923,0.00015204193,0.0014028068,0.00009972893,0.0023840084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996006,0.00003741259,0.000023874214,0.00014522036,0.00015156058,0.00004141263],"domain_scores_gemma":[0.99967587,0.00007618503,0.00006979613,0.000045141147,0.00010748053,0.000025511925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005293392,0.00070157147,0.00067212444,0.0009672471,0.00025128547,0.0008843093,0.0014087692,0.0005600119,0.0011647198],"category_scores_gemma":[0.0010304305,0.0003641439,0.0011075309,0.0009623551,0.00036880793,0.0010317807,0.00080856733,0.0006848393,0.0002540849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009045267,0.00006595104,0.0042158496,0.000075870164,0.00007414028,0.00011761024,0.00006455452,0.8720363,0.005353609,0.0039583948,0.0010856334,0.11286157],"study_design_scores_gemma":[0.0000017759749,0.0000093626195,0.0003596521,0.0000013924415,0.0000074675772,0.00001073057,0.000003341587,0.9984919,0.0003712643,0.0005439191,0.00019619707,0.0000029809369],"about_ca_topic_score_codex":0.026434224,"about_ca_topic_score_gemma":0.018707905,"teacher_disagreement_score":0.026434224,"about_ca_system_score_codex":0.0007885176,"about_ca_system_score_gemma":0.0010567306,"threshold_uncertainty_score":0.052560687},"labels":[],"label_agreement":null},{"id":"W4401053875","doi":"10.1080/0951192x.2024.2380276","title":"Part feeding scheduling for mixed-model assembly lines with autonomous mobile robots: benefits of using real-time data","year":2024,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scheduling (production processes); Mobile robot; Robot; Distributed computing; Real-time computing; Engineering; Artificial intelligence; Operations management","score_opus":0.02410949504797214,"score_gpt":0.27374810250001985,"score_spread":0.24963860745204772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401053875","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4564941,0.00059610885,0.5352021,0.00044220831,0.000086240456,0.00012858286,0.00021968457,0.000412452,0.0064185755],"genre_scores_gemma":[0.9781396,0.00010070613,0.02063145,0.000026102018,0.000007821596,0.000056188193,0.00009692381,0.000018899738,0.000922479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997465,0.00009215067,0.000010804161,0.000050793366,0.00005171255,0.00004803335],"domain_scores_gemma":[0.9988086,0.000705538,0.00025266298,0.00005184394,0.00009404769,0.000087251734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006597259,0.000848702,0.00077233097,0.0004949185,0.00035203013,0.0010030388,0.00096038077,0.0007099329,0.0013257331],"category_scores_gemma":[0.0017475561,0.00044581507,0.0006455102,0.00040662114,0.00050182675,0.00082351523,0.00056499016,0.0005872941,0.0001393784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030994765,0.000015643653,0.0002059926,0.000011216004,0.0000062086733,0.00001538101,0.000006520231,0.9976089,0.0002247685,0.00038373496,0.000037085727,0.0014535116],"study_design_scores_gemma":[0.0000050283857,0.000017988374,0.000069192385,0.0000012432164,0.0000020693467,0.0000020792731,0.000004170499,0.9995826,0.00007271915,0.00017674926,0.00006474768,0.0000013928569],"about_ca_topic_score_codex":0.012068473,"about_ca_topic_score_gemma":0.007301326,"teacher_disagreement_score":0.012068473,"about_ca_system_score_codex":0.0009439155,"about_ca_system_score_gemma":0.00092445733,"threshold_uncertainty_score":0.023996472},"labels":[],"label_agreement":null},{"id":"W4402699282","doi":"10.1080/0951192x.2024.2397823","title":"Unequal area facility layout problem considering transporters interaction– a queuing theory and machine learning approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Queueing theory; Computer science; Mathematical optimization; Distributed computing; Artificial intelligence; Computer network; Mathematics","score_opus":0.016462593998738662,"score_gpt":0.2302353554688571,"score_spread":0.21377276147011842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402699282","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032208808,0.00042582213,0.96066684,0.00080509076,0.00011099593,0.000101020545,0.00033285838,0.00025923533,0.0050893496],"genre_scores_gemma":[0.8378101,0.0006061414,0.1486544,0.00031577665,0.000145752,0.00026142626,0.00045193502,0.00014562877,0.011608922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998382,0.0005085028,0.000065436085,0.0003784765,0.00024396834,0.00042157772],"domain_scores_gemma":[0.99769515,0.0014655332,0.00029772267,0.000080323465,0.00026888278,0.00019235036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019815,0.0012516624,0.0018992914,0.0015667663,0.0010043876,0.0019386248,0.0028750626,0.002591799,0.0063562994],"category_scores_gemma":[0.003620321,0.0011859185,0.001457907,0.0018778284,0.0012999097,0.0024984814,0.0015813411,0.0017645326,0.0004356586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029006327,0.000031907144,0.00035009222,0.000024513194,0.000015869075,0.000058149828,0.000010091414,0.9878593,0.00024993203,0.0070912344,0.000459613,0.0038202608],"study_design_scores_gemma":[0.0000034654465,0.000008278822,0.00007647788,0.0000021365965,0.000004105277,0.000008557731,0.000006204845,0.9970509,0.00006486021,0.0026326582,0.00013892032,0.000003435869],"about_ca_topic_score_codex":0.019824754,"about_ca_topic_score_gemma":0.016221154,"teacher_disagreement_score":0.019824754,"about_ca_system_score_codex":0.0039809104,"about_ca_system_score_gemma":0.003362746,"threshold_uncertainty_score":0.039418697},"labels":[],"label_agreement":null},{"id":"W4402989028","doi":"10.1080/0951192x.2024.2386980","title":"Evaluating the use of grey-box system identification for digital twins in manufacturing automation","year":2024,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automation; Identification (biology); Manufacturing engineering; Engineering; Computer science; Smart manufacturing; Digital manufacturing; Systems engineering; Engineering drawing; Mechanical engineering","score_opus":0.05450895680388704,"score_gpt":0.30085673492168563,"score_spread":0.2463477781177986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402989028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6157652,0.00017208564,0.378802,0.00015260404,0.00003350578,0.00014967752,0.00007946569,0.0006117819,0.0042337165],"genre_scores_gemma":[0.9664052,0.000034221946,0.033130165,0.00001159796,0.0000013352576,0.000026826528,0.00002700575,0.00001593438,0.00034769668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989524,0.00035864208,0.00006099313,0.00012718851,0.00043214345,0.00006865547],"domain_scores_gemma":[0.99608046,0.0024961426,0.0002935465,0.0007185429,0.00034214198,0.00006926255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023232012,0.00047285893,0.0003563039,0.0004454281,0.00031434625,0.0006944716,0.0006004866,0.0007717502,0.0016376138],"category_scores_gemma":[0.0099465,0.00022936605,0.00035393392,0.0002692973,0.0006426904,0.0015302408,0.0009816305,0.0005424018,0.00017570468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005972329,0.00017628178,0.0057247924,0.00021577043,0.00005952862,0.0001551293,0.00022395831,0.9148329,0.027628606,0.0063887425,0.00017853161,0.04381842],"study_design_scores_gemma":[0.000012307694,0.00042574984,0.0012280729,0.000012845912,0.000014241166,0.000052255873,0.000044238855,0.9742474,0.022760047,0.0007748835,0.0004128611,0.000015123225],"about_ca_topic_score_codex":0.002588196,"about_ca_topic_score_gemma":0.0020398418,"teacher_disagreement_score":0.002588196,"about_ca_system_score_codex":0.0006230916,"about_ca_system_score_gemma":0.0006837239,"threshold_uncertainty_score":0.012286365},"labels":[],"label_agreement":null},{"id":"W4410286933","doi":"10.1080/0951192x.2025.2504088","title":"A robust service composition for a resilient cloud manufacturing service network","year":2025,"lang":"en","type":"article","venue":"International Journal of Computer Integrated Manufacturing","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Service composition; Cloud manufacturing; Cloud computing; Service (business); Computer science; Business; Distributed computing; Process management; Computer network; Quality of service; Marketing","score_opus":0.016370087955695025,"score_gpt":0.23447410803474486,"score_spread":0.21810402007904983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410286933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04962324,0.00020210841,0.9433084,0.00052427733,0.000066235145,0.00012553865,0.00011136277,0.0003029297,0.0057358304],"genre_scores_gemma":[0.9041571,0.0001945595,0.09247964,0.00010480225,0.00002785184,0.00012419917,0.00010535762,0.000051468593,0.002755085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929225,0.00016929094,0.000028549435,0.00017477313,0.00018305624,0.00015200838],"domain_scores_gemma":[0.9994935,0.00018072147,0.000106548934,0.00003894368,0.00011307503,0.00006725502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009276089,0.00090847886,0.00083322753,0.0006353169,0.0010421129,0.0013817884,0.0011236751,0.0012042215,0.0025743477],"category_scores_gemma":[0.001954065,0.00036364901,0.0008157817,0.0005817431,0.00076293125,0.0011129125,0.0015884255,0.0011732136,0.00037554884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000731015,0.0000312759,0.0003309295,0.00003940064,0.000016484575,0.000110616544,0.000042204818,0.97395974,0.003664677,0.011467394,0.00048653226,0.009777636],"study_design_scores_gemma":[0.0000033316276,0.000018710181,0.000042398642,0.0000032305438,0.000003793588,0.000015378442,0.000011682611,0.99715877,0.00034683148,0.0021207237,0.0002724649,0.000002719221],"about_ca_topic_score_codex":0.008747195,"about_ca_topic_score_gemma":0.005768576,"teacher_disagreement_score":0.008747195,"about_ca_system_score_codex":0.0019858964,"about_ca_system_score_gemma":0.0023271767,"threshold_uncertainty_score":0.017392576},"labels":[],"label_agreement":null}]}