{"meta":{"query_hash":"cf2a352b555e","filters":{"venue":"Journal of Industrial Information Integration"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"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/cf2a352b555e","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Industrial+Information+Integration"},"results":[{"id":"W3138035584","doi":"10.1016/j.jii.2021.100220","title":"Sustainable vehicle routing problem for coordinated solid waste management","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Vehicle routing problem; Sustainability; Triple bottom line; Simulated annealing; Population; Computer science; Business; Environmental economics; Routing (electronic design automation); Economics","score_opus":0.022294559579301543,"score_gpt":0.25786286972126066,"score_spread":0.23556831014195911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138035584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41346762,0.00003277092,0.41357008,0.0061058337,0.0021637024,0.0037486793,0.000021292375,0.00008549227,0.16080453],"genre_scores_gemma":[0.99214005,0.000012224135,0.004006895,0.0003263388,0.00020339273,0.000033310513,0.000049068673,0.000009881078,0.003218834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982494,0.00006981389,0.00093945226,0.00008350271,0.00039541803,0.00026239164],"domain_scores_gemma":[0.99867284,0.000042557218,0.0007980695,0.00014057108,0.0002657282,0.00008025583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011861627,0.0001217446,0.00018297952,0.00012773834,0.00018542232,0.00023723747,0.00020255528,0.00009780817,0.00033747504],"category_scores_gemma":[0.00027066105,0.00010589505,0.00010552892,0.00046765854,0.000027631317,0.002354534,0.0001600943,0.0002322136,0.000039818962],"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":[0.0006846997,0.00025725734,0.0007167882,0.00011585474,0.00025429664,0.000038735423,0.004730456,0.59846896,0.00079891656,0.04319294,0.1519829,0.19875818],"study_design_scores_gemma":[0.014031275,0.0014402947,0.0003561499,0.0006950141,0.00039293786,0.000095060415,0.14146172,0.41441348,0.061926603,0.007991766,0.35625723,0.0009384501],"about_ca_topic_score_codex":0.00007261659,"about_ca_topic_score_gemma":0.000014275812,"teacher_disagreement_score":0.57867247,"about_ca_system_score_codex":0.00058799644,"about_ca_system_score_gemma":0.000044202563,"threshold_uncertainty_score":0.4318275},"labels":[],"label_agreement":null},{"id":"W3191774642","doi":"10.1016/j.jii.2021.100246","title":"Bi-level programming for home health care supply chain considering outsourcing","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Stackelberg competition; Heuristics; Outsourcing; Supply chain; Health care; Novelty; Business; Operations management; Computer science; Operations research; Marketing; Economics; Microeconomics; Engineering; Psychology","score_opus":0.06443391656776795,"score_gpt":0.303664331238838,"score_spread":0.23923041467107006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191774642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014603525,0.00020716075,0.98111165,0.00086530007,0.002562929,0.00036415414,0.00004081113,0.000098340046,0.00014612539],"genre_scores_gemma":[0.5807736,0.00006497038,0.41747886,0.00030691514,0.0010162583,0.00002713339,0.00025977014,0.000038631006,0.000033865384],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980762,0.00009547372,0.0012668545,0.00006100509,0.0002776836,0.00022279582],"domain_scores_gemma":[0.9979611,0.00016872717,0.0006176047,0.000105758765,0.0010371231,0.00010967832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011061069,0.0001498739,0.00031101023,0.0003429911,0.0001432566,0.0002676277,0.000093853334,0.00017548338,0.000019249832],"category_scores_gemma":[0.0012138204,0.0001464247,0.00013255146,0.00037523155,0.000014128203,0.0014462327,0.000014349623,0.00042839083,0.0000025546385],"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":[0.00004982604,0.000011116199,0.0003264593,0.00011539548,0.000065107095,0.0000015105502,0.010412768,0.39966288,0.00044493325,0.00053554395,0.004523362,0.5838511],"study_design_scores_gemma":[0.012119213,0.0010650895,0.0005082062,0.0028236296,0.00015644751,0.0005937563,0.08824216,0.66113514,0.09624729,0.00027122453,0.13559085,0.0012469947],"about_ca_topic_score_codex":0.000008531406,"about_ca_topic_score_gemma":0.000012527869,"teacher_disagreement_score":0.5826041,"about_ca_system_score_codex":0.00046211545,"about_ca_system_score_gemma":0.00043553486,"threshold_uncertainty_score":0.5971026},"labels":[],"label_agreement":null},{"id":"W4292397090","doi":"10.1016/j.jii.2022.100390","title":"Editorial on smart and sustainable logistics","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"Cybernetics Society; Alexander von Humboldt-Stiftung; U.S. Department of Defense; National Science Foundation","keywords":"Computer science; Preprocessor; Noise (video); The Internet; Data pre-processing; SIGNAL (programming language); Big data; Deep learning; Popularity; Process (computing); Data mining; Segmentation; Artificial intelligence; Machine learning; World Wide Web","score_opus":0.021490615531969886,"score_gpt":0.22580950576101666,"score_spread":0.20431889022904678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292397090","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12545909,0.000086512475,0.16486095,0.002130038,0.4183058,0.0018292597,0.00042284853,0.0005452703,0.2863602],"genre_scores_gemma":[0.9889262,0.000015607651,0.00011976113,0.0001028974,0.010615902,0.000017490314,0.000052085208,0.00001082302,0.0001392794],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984642,0.000037537495,0.0007942065,0.000030481404,0.000519873,0.00015369315],"domain_scores_gemma":[0.9992004,0.00008413515,0.0002747574,0.000068807494,0.000302761,0.000069108406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083544385,0.000107842694,0.00014016229,0.0003756179,0.00016926957,0.00020436283,0.00012121048,0.00012487876,0.00011486693],"category_scores_gemma":[0.00033345268,0.00010023175,0.000047825477,0.00026119413,0.000024229805,0.0024529602,0.00002206061,0.00087091455,0.000009124007],"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":[0.00022829874,0.000028163964,0.00005311839,0.00002203353,0.000036651632,0.000002143813,0.0009936519,0.20444493,0.000030583218,0.022070881,0.7438378,0.02825176],"study_design_scores_gemma":[0.001506442,0.00067516556,0.000015974985,0.00003185163,0.000015839196,0.00005814438,0.009446401,0.005916168,0.00085207453,0.0010628126,0.9802587,0.00016044099],"about_ca_topic_score_codex":0.000007228198,"about_ca_topic_score_gemma":2.9605354e-7,"teacher_disagreement_score":0.86346704,"about_ca_system_score_codex":0.00035730164,"about_ca_system_score_gemma":0.00010496147,"threshold_uncertainty_score":0.40873322},"labels":[],"label_agreement":null},{"id":"W4390748836","doi":"10.1016/j.jii.2024.100561","title":"Electric vehicle scheduling: State of the art, critical challenges, and future research opportunities","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Software deployment; Scheduling (production processes); Electric vehicle; Computer science; Engineering; Operations research; Transport engineering; Automotive engineering; Operations management; Power (physics)","score_opus":0.09288907346285498,"score_gpt":0.30168161113765,"score_spread":0.20879253767479505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390748836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93620235,0.024021823,0.004639598,0.019504856,0.0050247004,0.0005040359,0.000035949484,0.000111679146,0.009955019],"genre_scores_gemma":[0.9929101,0.0060885497,0.000110743014,0.000025959262,0.00083169277,0.0000021729813,0.0000034109496,0.000007542581,0.000019842382],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988314,0.0000715995,0.00055431435,0.000032973043,0.0003771143,0.00013262533],"domain_scores_gemma":[0.9992222,0.00013716935,0.00008508427,0.000068835005,0.00043357315,0.000053104126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008801206,0.000079118,0.00012787935,0.00035756954,0.00005967649,0.0001301165,0.00010591318,0.00013282768,0.00002035924],"category_scores_gemma":[0.00022050977,0.000050207127,0.000053333137,0.00035021076,0.000041942094,0.0013379209,0.000012732573,0.0010301318,0.000002520691],"study_design_candidate":"design_other","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":[0.000038819973,0.00000682537,0.0000031502532,0.00006583409,0.00003369168,0.0000013082007,0.0016493018,0.00054559426,0.0022562123,0.017526295,0.009072455,0.9688005],"study_design_scores_gemma":[0.0020065536,0.001934553,0.0007881849,0.0013892279,0.00009997476,0.00042409098,0.010355076,0.4048641,0.06696613,0.01965526,0.49111682,0.0004000205],"about_ca_topic_score_codex":0.0000015754304,"about_ca_topic_score_gemma":0.0000013561627,"teacher_disagreement_score":0.9684005,"about_ca_system_score_codex":0.000088890556,"about_ca_system_score_gemma":0.0001627272,"threshold_uncertainty_score":0.44754675},"labels":[],"label_agreement":null},{"id":"W4390825574","doi":"10.1016/j.jii.2024.100574","title":"The multi-factory two-stage assembly scheduling problem","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":12,"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":"Université Laval","keywords":"Scheduling (production processes); Factory (object-oriented programming); Job shop scheduling; Computer science; Schedule; Industrial engineering; Integer programming; Flow shop scheduling; Operations research; Distributed computing; Engineering; Operations management; Algorithm; Operating system","score_opus":0.037395202055217555,"score_gpt":0.27588842854401174,"score_spread":0.23849322648879417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390825574","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01941876,0.00041446407,0.9722211,0.00047534594,0.0053191604,0.0001988507,0.000009953648,0.00021624991,0.001726131],"genre_scores_gemma":[0.8996934,0.00036144909,0.09743911,0.000101464146,0.0019458084,0.000017911434,0.000054352025,0.000038825798,0.0003476441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986521,0.000038856993,0.000841986,0.00003901402,0.00029570208,0.00013232345],"domain_scores_gemma":[0.9991817,0.00014797853,0.00020066519,0.00008158167,0.00032263724,0.00006545315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009604458,0.00012072757,0.0001204146,0.00026367558,0.00013203266,0.0007365332,0.00014547688,0.00013461024,0.000028618848],"category_scores_gemma":[0.00031256996,0.00007877033,0.00009895842,0.00033307352,0.000020733876,0.0023248082,0.000008402394,0.0007022696,0.000051613923],"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":[0.000023556826,0.000006842793,0.000020285757,0.000016996995,0.00007393344,0.0000016633143,0.001186431,0.8267879,0.00031061107,0.0022438758,0.002231185,0.16709673],"study_design_scores_gemma":[0.0005846292,0.00004553252,0.000006871872,0.00020666858,0.000019125364,0.00002160695,0.0014612145,0.97293,0.003889185,0.00004216915,0.020690842,0.000102156155],"about_ca_topic_score_codex":0.000006306913,"about_ca_topic_score_gemma":0.000005148212,"teacher_disagreement_score":0.88027465,"about_ca_system_score_codex":0.00018700445,"about_ca_system_score_gemma":0.00015111337,"threshold_uncertainty_score":0.71024066},"labels":[],"label_agreement":null},{"id":"W4394958607","doi":"10.1016/j.jii.2024.100614","title":"Analyzing the barriers to resilience supply chain adoption in the food industry using hybrid interval-valued fermatean fuzzy PROMETHEE-II model","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":22,"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 Alberta","funders":"","keywords":"Ranking (information retrieval); Resilience (materials science); Supply chain; Rank (graph theory); Preference; Interval (graph theory); Operations research; Fuzzy logic; Computer science; Operator (biology); Food industry; Supply chain network; Risk analysis (engineering); Supply chain management; Business; Engineering; Mathematics; Marketing; Artificial intelligence; Statistics","score_opus":0.03628555935358726,"score_gpt":0.27109459124245233,"score_spread":0.23480903188886507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394958607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9188082,0.000039466242,0.064618535,0.01262705,0.0012067478,0.0012322152,0.0000095806445,0.000052263047,0.0014058999],"genre_scores_gemma":[0.996613,0.0000048498564,0.00033124126,0.0017791289,0.0011544771,0.000035429362,0.000026447944,0.000015694524,0.000039711696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974293,0.00012195805,0.0012789224,0.00013904602,0.0007132247,0.0003175533],"domain_scores_gemma":[0.99840945,0.00008466127,0.0007117557,0.00024068047,0.0005144097,0.00003903257],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0053996015,0.00023567562,0.00023748723,0.0017740501,0.00042121252,0.0016960647,0.0006521079,0.00017980006,0.000062786334],"category_scores_gemma":[0.0018841918,0.00014314975,0.0001501674,0.002108238,0.000050786817,0.007890122,0.00016783678,0.0013191184,0.000015235235],"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":[0.000720881,0.000089327215,0.0021838995,0.0002668619,0.00020005715,0.000031178733,0.01840883,0.7574999,0.00042607725,0.066466756,0.061287634,0.0924186],"study_design_scores_gemma":[0.00086479745,0.00017356918,0.00024435043,0.0009677452,0.00014688805,0.000036347967,0.065557435,0.9166961,0.0002964835,0.004944165,0.009768773,0.0003033961],"about_ca_topic_score_codex":0.00018253145,"about_ca_topic_score_gemma":0.00003411466,"teacher_disagreement_score":0.15919615,"about_ca_system_score_codex":0.00054292934,"about_ca_system_score_gemma":0.00030118148,"threshold_uncertainty_score":0.9993403},"labels":[],"label_agreement":null},{"id":"W4399849745","doi":"10.1016/j.jii.2024.100655","title":"A green scheduling model for two-stage photo-etching and acid-etching collaboration in semiconductor manufacturing","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Science and Technology Plan Project of Wenzhou, China; Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; Humanities and Social Science Fund of Ministry of Education of China; Natural Science Foundation of Anhui Province; University Natural Science Research Project of Anhui Province; Anhui Provincial Key Research and Development Plan; Anhui Provincial Department of Education; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Etching (microfabrication); Semiconductor; Scheduling (production processes); Semiconductor device fabrication; Materials science; Optoelectronics; Stage (stratigraphy); Nanotechnology; Engineering; Operations management; Geology","score_opus":0.027648093515969255,"score_gpt":0.27244304014786475,"score_spread":0.2447949466318955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399849745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5038137,0.00013651683,0.49475917,0.00013610475,0.00066555775,0.00027174997,0.000026044376,0.00006155667,0.00012961186],"genre_scores_gemma":[0.9905385,0.000075421245,0.0089014815,0.00003937045,0.00032296596,0.000018241944,0.0000614027,0.00001778346,0.00002486333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874216,0.000018182112,0.0008340854,0.000075264885,0.00018886934,0.00014145102],"domain_scores_gemma":[0.99944925,0.000075128344,0.00022264359,0.000057258036,0.00014055651,0.000055145363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006458197,0.00015633283,0.00019684435,0.0006288174,0.00007193809,0.0005283303,0.00007944234,0.0001604654,0.000014535884],"category_scores_gemma":[0.00015086019,0.00013891816,0.000051905005,0.00018345023,0.000007619476,0.004904336,0.000011439738,0.00046645972,0.0000015139246],"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":[0.00006041837,0.0000036680042,0.000013114742,0.00015319233,0.000021958636,7.4284037e-7,0.0048025674,0.947307,0.0033119926,0.000502915,0.000106693115,0.043715775],"study_design_scores_gemma":[0.0007450602,0.000036089583,0.0000031805407,0.00046443686,0.000019075582,0.000010305773,0.0011746372,0.92611814,0.0702528,0.00046068447,0.0005848552,0.00013073016],"about_ca_topic_score_codex":0.000034369983,"about_ca_topic_score_gemma":0.000043075524,"teacher_disagreement_score":0.4867248,"about_ca_system_score_codex":0.00024844875,"about_ca_system_score_gemma":0.00011545041,"threshold_uncertainty_score":0.56649184},"labels":[],"label_agreement":null},{"id":"W4401624930","doi":"10.1016/j.jii.2024.100676","title":"Human-Robot Collaboration in Mixed-Flow Assembly Line Balancing under Uncertainty: An Efficient Discrete Bees Algorithm","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Key Research and Development Program of Heilongjiang","keywords":"Assembly line; Robot; Line (geometry); Flow (mathematics); Computer science; Flow line; Algorithm; Mathematical optimization; Engineering; Simulation; Artificial intelligence; Mathematics; Mechanical engineering","score_opus":0.01768390940399167,"score_gpt":0.2862371201840418,"score_spread":0.2685532107800501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401624930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18456374,0.000103333,0.81116307,0.00035929924,0.0030346336,0.0003189532,0.000034530156,0.00017496783,0.00024749353],"genre_scores_gemma":[0.98809385,0.000020948775,0.010347242,0.000047770925,0.0010493421,0.0000126208515,0.00038694573,0.000027934911,0.00001333039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976593,0.0000984432,0.0014343468,0.00010174294,0.0004952454,0.00021087768],"domain_scores_gemma":[0.9988491,0.00007986514,0.00033551388,0.00013177983,0.0005074383,0.000096307405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011230253,0.00022596362,0.00030344867,0.0009044683,0.00008868172,0.0005866256,0.00014641922,0.00030013695,0.000030009453],"category_scores_gemma":[0.00022579389,0.00019818828,0.00008084315,0.0009949927,0.000018995235,0.0036678386,0.000014012735,0.0006726566,0.000014627735],"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":[0.00002054097,0.000019198587,0.000014160305,0.000019684505,0.000027878583,0.0000035100868,0.0011874692,0.9553073,0.0018021311,0.0004730731,0.001044257,0.04008078],"study_design_scores_gemma":[0.0008162651,0.00023484499,0.00016805065,0.0004984586,0.00003326292,0.000026988782,0.0023856307,0.9917673,0.0032290472,0.00010683149,0.000534162,0.00019914217],"about_ca_topic_score_codex":0.00003954818,"about_ca_topic_score_gemma":0.00011617251,"teacher_disagreement_score":0.80353016,"about_ca_system_score_codex":0.0008626446,"about_ca_system_score_gemma":0.00025063189,"threshold_uncertainty_score":0.8081883},"labels":[],"label_agreement":null},{"id":"W4402653970","doi":"10.1016/j.jii.2024.100695","title":"E-CARGO-based dynamic weight offload strategy with resource contention mitigation for edge networks","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Enhanced Data Rates for GSM Evolution; Resource (disambiguation); Computer network; Computer science; Business; Telecommunications","score_opus":0.023676023059422468,"score_gpt":0.250810631960376,"score_spread":0.22713460890095355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402653970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012434998,0.00008517752,0.97873396,0.0011877321,0.0066128923,0.00034807026,0.0000017231079,0.000084797,0.0005106574],"genre_scores_gemma":[0.98559356,0.000007750653,0.010329523,0.00027157544,0.0035143057,0.000018714552,0.0001710079,0.0000138906635,0.000079677695],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983023,0.00007941896,0.0009336471,0.00011237958,0.00037459977,0.0001976746],"domain_scores_gemma":[0.9981569,0.00020958603,0.00067536725,0.00013975259,0.0007383676,0.000080019505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010843136,0.0001626939,0.00020014803,0.0004974442,0.0001648706,0.0009846308,0.00029512346,0.00020583138,0.000003090655],"category_scores_gemma":[0.00013976176,0.00011927684,0.00014960952,0.00057894277,0.000029544233,0.0042515364,0.000017106457,0.00047794724,0.000007350952],"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":[0.0004571894,0.000045557375,0.000054905733,0.0000571048,0.00010580913,0.0000055342216,0.0012761711,0.05744783,0.0002940232,0.008492855,0.061334006,0.87042904],"study_design_scores_gemma":[0.0013207272,0.00072482065,0.00007342461,0.00063398335,0.000035296827,0.000046070927,0.0001661358,0.9680791,0.0013874826,0.0003778579,0.02700221,0.00015291336],"about_ca_topic_score_codex":0.000007226469,"about_ca_topic_score_gemma":0.0000025122656,"teacher_disagreement_score":0.97315854,"about_ca_system_score_codex":0.00025419582,"about_ca_system_score_gemma":0.00041371697,"threshold_uncertainty_score":0.9494817},"labels":[],"label_agreement":null},{"id":"W4403616531","doi":"10.1016/j.jii.2024.100721","title":"Industrial information integration in deep space exploration and exploitation: Architecture and technology","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Space Exploration and Technology","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Department of Industrial and Systems Engineering, Hong Kong Polytechnic University; Hong Kong Polytechnic University","keywords":"Deep space exploration; Architecture; Space (punctuation); Engineering; Systems engineering; Computer science; Computer architecture; Manufacturing engineering; NASA Deep Space Network; Aerospace engineering; Geography; Operating system","score_opus":0.02331754184104759,"score_gpt":0.2331859741715243,"score_spread":0.20986843233047672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403616531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25998557,0.0009314886,0.7106525,0.020812182,0.004403182,0.0011217151,0.000025776522,0.00067761214,0.0013899688],"genre_scores_gemma":[0.99722636,0.00058094086,0.0015797812,0.000075865624,0.00035274003,0.00004940278,0.00011010766,0.000015014179,0.000009816761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823946,0.00005540953,0.0011470033,0.00008974005,0.0002939558,0.00017444228],"domain_scores_gemma":[0.99899334,0.00010372963,0.00030569592,0.00010982894,0.0004136307,0.00007379682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006100479,0.00022762496,0.00027824557,0.00287552,0.00006941419,0.00047824808,0.000105833205,0.00064371485,0.000026102287],"category_scores_gemma":[0.0009029364,0.0001997581,0.000050583185,0.0013407249,0.00007995198,0.010228107,0.000023934284,0.001137519,0.000019465462],"study_design_candidate":"design_other","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":[0.0001043715,0.000009759328,0.0001631353,0.000035374724,0.000043341406,0.0000033847145,0.008563594,0.0061051087,0.00087177625,0.026518725,0.004415848,0.9531656],"study_design_scores_gemma":[0.011775059,0.002583866,0.0003109771,0.003459086,0.00025203865,0.0010622613,0.1335669,0.56982774,0.052743807,0.05478378,0.16787817,0.0017563159],"about_ca_topic_score_codex":0.000010889326,"about_ca_topic_score_gemma":0.00006386087,"teacher_disagreement_score":0.9514093,"about_ca_system_score_codex":0.00022769191,"about_ca_system_score_gemma":0.0001075913,"threshold_uncertainty_score":0.81458986},"labels":[],"label_agreement":null},{"id":"W4403846973","doi":"10.1016/j.jii.2024.100716","title":"Consensus reaching-based decision model for assessing resilient urban public health safety ecosystem with social network analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Social network analysis; Decision analysis; Public health; Environmental planning; Business; Risk analysis (engineering); Environmental resource management; Computer science; Environmental science; Medicine; Economics","score_opus":0.17597435781571716,"score_gpt":0.3903120986657117,"score_spread":0.21433774084999455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403846973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023306273,0.000048815462,0.96584874,0.00882348,0.0010045714,0.00039193063,0.000034238128,0.00005662208,0.00048532113],"genre_scores_gemma":[0.9891912,0.000003055996,0.009914504,0.00017676836,0.0005452832,0.000009500157,0.00006893433,0.000008038939,0.000082752245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99550855,0.000296695,0.002553449,0.00017201004,0.0011920541,0.00027723348],"domain_scores_gemma":[0.99476963,0.0013060968,0.0020559598,0.0002091182,0.0015521575,0.00010700834],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.013003948,0.00017013334,0.0005471292,0.002479344,0.0004915757,0.0017942732,0.00039188296,0.00023983173,0.000024261666],"category_scores_gemma":[0.0029384384,0.00010728595,0.0003428659,0.0030665083,0.000045380548,0.0020485856,0.00003519024,0.0005147302,0.000011386561],"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":[0.0005130733,0.00003251028,0.0007262084,0.000011817657,0.00025382751,0.0000013930066,0.0014087671,0.18564056,0.0000022247407,0.021724023,0.077420935,0.71226466],"study_design_scores_gemma":[0.0010144569,0.00024804485,0.00012336829,0.00015991638,0.00013710595,0.000006025314,0.0018430095,0.9519547,0.000011988082,0.0034953617,0.040894203,0.00011179685],"about_ca_topic_score_codex":0.0000069514003,"about_ca_topic_score_gemma":0.00021903486,"teacher_disagreement_score":0.96588486,"about_ca_system_score_codex":0.0006351466,"about_ca_system_score_gemma":0.0011813283,"threshold_uncertainty_score":0.99924195},"labels":[],"label_agreement":null},{"id":"W4403997917","doi":"10.1016/j.jii.2024.100724","title":"In-space cybernetical intelligence perspective on informatics, manufacturing and integrated control for the space exploration industry","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Space (punctuation); Perspective (graphical); Manufacturing engineering; Engineering; Informatics; Control (management); Space industry; Computer science; Systems engineering; Artificial intelligence","score_opus":0.022197272554878095,"score_gpt":0.2585528176964495,"score_spread":0.2363555451415714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403997917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03401916,0.00069747167,0.9485983,0.008300152,0.004763442,0.0014123655,0.000038428716,0.00009746074,0.0020732032],"genre_scores_gemma":[0.9987984,0.0001587351,0.00022775917,0.0001220214,0.0005945009,0.00004035364,0.000005928257,0.000012655893,0.00003968551],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854577,0.000046255118,0.0009182832,0.000056164696,0.00026561847,0.00016792104],"domain_scores_gemma":[0.998823,0.0005079547,0.00021810793,0.00009563324,0.00028870694,0.00006660072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091912056,0.00018882286,0.00023958588,0.00046475063,0.00006087934,0.00046248475,0.000118845324,0.0003387227,0.000020356438],"category_scores_gemma":[0.00040785357,0.000121366436,0.00008752981,0.0002452981,0.000041491996,0.002959214,0.000007080938,0.0011666423,0.0000139778485],"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":[0.0010470998,0.000037448604,0.00005291809,0.00014495302,0.00047018586,0.0000065907025,0.033170857,0.35555705,0.00035067124,0.23510069,0.017946588,0.35611495],"study_design_scores_gemma":[0.0021574597,0.00070038537,0.0000894327,0.0012186635,0.00012252059,0.000081715756,0.07184214,0.83973587,0.021535274,0.0041159117,0.058040038,0.00036057844],"about_ca_topic_score_codex":0.00005585384,"about_ca_topic_score_gemma":0.000030018986,"teacher_disagreement_score":0.9647792,"about_ca_system_score_codex":0.00043997294,"about_ca_system_score_gemma":0.00009928609,"threshold_uncertainty_score":0.5068545},"labels":[],"label_agreement":null},{"id":"W4404028777","doi":"10.1016/j.jii.2024.100727","title":"Proximal policy optimization with population-based variable neighborhood search algorithm for coordinating photo-etching and acid-etching processes in sustainable storage chip manufacturing","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Etching (microfabrication); Variable (mathematics); Chip; Materials science; Population; Nanotechnology; Computer science; Algorithm; Mathematics; Telecommunications; Layer (electronics); Medicine","score_opus":0.017794392334267727,"score_gpt":0.2688782613785026,"score_spread":0.2510838690442349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404028777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056806044,0.00003289585,0.9920612,0.0009374602,0.00015871998,0.0007891194,0.0000073597835,0.00006305332,0.00026958674],"genre_scores_gemma":[0.7275033,0.000011400774,0.27193975,0.00011801867,0.00026110667,0.000034158973,0.00007753741,0.000014773512,0.00003995028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981381,0.00010952139,0.0008242469,0.00015569114,0.00046960727,0.00030280516],"domain_scores_gemma":[0.99828327,0.00025619837,0.00041733464,0.00010346858,0.0008399248,0.000099824705],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0017885533,0.00017539138,0.00022516983,0.0014020615,0.00027090815,0.0018577941,0.00023888923,0.00014421018,0.000009824435],"category_scores_gemma":[0.00077547855,0.0001388937,0.000038303988,0.0012244793,0.00001685719,0.009557865,0.000044078013,0.000539818,4.3917498e-7],"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":[0.00006667743,0.000031157502,0.00015194205,0.00021489564,0.000019693505,0.0000034968791,0.0029476567,0.87681866,0.000025863294,0.010363688,0.00003249706,0.109323755],"study_design_scores_gemma":[0.0014345995,0.00034568546,0.000041501087,0.00061942684,0.000009290121,0.000031092397,0.0013352921,0.9930875,0.0022717263,0.00049238175,0.00017722767,0.00015431874],"about_ca_topic_score_codex":0.0002807514,"about_ca_topic_score_gemma":0.000008203478,"teacher_disagreement_score":0.7218227,"about_ca_system_score_codex":0.00047734403,"about_ca_system_score_gemma":0.0015798217,"threshold_uncertainty_score":0.99917835},"labels":[],"label_agreement":null},{"id":"W4404212217","doi":"10.1016/j.jii.2024.100737","title":"Global sustainable closed-loop supply chain network considering Incoterms rules and advertisement impacts","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Supply chain; Business; Closed loop; Loop (graph theory); Advertising; Commerce; Marketing; Engineering; Mathematics","score_opus":0.013750121255451555,"score_gpt":0.23287188324403504,"score_spread":0.2191217619885835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404212217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91418153,0.001132565,0.04590444,0.01503452,0.0061384398,0.0021520737,0.00002242644,0.00031491034,0.015119073],"genre_scores_gemma":[0.9950568,0.00006236768,0.00034907725,0.0011452901,0.003118895,0.000015724178,0.00008233909,0.000014209712,0.00015529022],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978685,0.000030783383,0.0010764174,0.00011597037,0.0005042102,0.00040415637],"domain_scores_gemma":[0.99844265,0.00007283234,0.0006745003,0.000121975725,0.0006449039,0.000043152126],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0017781893,0.00023343341,0.0002730051,0.00067464646,0.0002199259,0.0022506032,0.00017709928,0.00015929036,0.00014834797],"category_scores_gemma":[0.0007355753,0.00019132867,0.00010860851,0.0008164329,0.000049016966,0.010384846,0.0001677087,0.00033863023,0.00003421924],"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":[0.00057774445,0.000059618265,0.014349196,0.000910022,0.0003299107,0.00021616505,0.0009622191,0.016448222,0.00002383902,0.32683417,0.34551045,0.29377842],"study_design_scores_gemma":[0.0049856347,0.00036380917,0.008034877,0.0026292088,0.0004727251,0.000177199,0.04058724,0.09913609,0.00013831895,0.054889288,0.78761643,0.00096920214],"about_ca_topic_score_codex":0.0006208806,"about_ca_topic_score_gemma":0.00005069344,"teacher_disagreement_score":0.44210595,"about_ca_system_score_codex":0.0006234792,"about_ca_system_score_gemma":0.00021448151,"threshold_uncertainty_score":0.99878514},"labels":[],"label_agreement":null},{"id":"W4404516662","doi":"10.1016/j.jii.2024.100740","title":"Coding-based abnormal behavior differentiation approach for industrial systems","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Coding (social sciences); Computer science; Engineering; Business; Mathematics; Statistics","score_opus":0.0372574949177587,"score_gpt":0.24458058489136364,"score_spread":0.20732308997360493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404516662","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04556863,0.00011520696,0.9384449,0.00008483476,0.013528806,0.0011085625,0.00008531803,0.00023587159,0.00082787126],"genre_scores_gemma":[0.99733657,0.0000055493783,0.00016670153,0.000014151895,0.002096214,0.00014746068,0.0001767039,0.000016674734,0.000039956427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814814,0.000054515887,0.0012114359,0.000060909482,0.00036909664,0.00015590378],"domain_scores_gemma":[0.9991225,0.000079870864,0.00031738772,0.000083051185,0.00031512728,0.000082053644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074580085,0.00016993523,0.00026642508,0.00060549786,0.00007820899,0.00066397036,0.000116207775,0.00037214535,0.00001811838],"category_scores_gemma":[0.00016768785,0.00013724781,0.0001956755,0.00030404422,0.000013151816,0.0019682234,0.0000036081067,0.0005168083,0.000009858388],"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":[0.00093367015,0.00012423014,0.00030181676,0.00045326125,0.0004452061,0.0000037664827,0.0014262843,0.5904789,0.006487529,0.005976232,0.10244204,0.29092705],"study_design_scores_gemma":[0.0020703855,0.0002541302,0.000023611743,0.00022875649,0.00010846006,0.000041072894,0.0006935468,0.9697226,0.003040571,0.0000057404523,0.023655333,0.00015574467],"about_ca_topic_score_codex":0.000016819346,"about_ca_topic_score_gemma":0.000001641969,"teacher_disagreement_score":0.951768,"about_ca_system_score_codex":0.00034511148,"about_ca_system_score_gemma":0.00013661725,"threshold_uncertainty_score":0.64026815},"labels":[],"label_agreement":null},{"id":"W4404869340","doi":"10.1016/j.jii.2024.100746","title":"Implementation and evaluation of a smart machine monitoring system under industry 4.0 concept","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Industry 4.0; Engineering; Systems engineering; Manufacturing engineering; Computer science; Embedded system","score_opus":0.05906871882667037,"score_gpt":0.3220639107800235,"score_spread":0.26299519195335314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404869340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93843246,0.00063706824,0.046599455,0.00022865055,0.005624269,0.0006593272,0.00012101115,0.0001834372,0.0075143236],"genre_scores_gemma":[0.99939775,0.000024102326,0.00015380996,0.0000061933356,0.0003453979,0.000013495667,0.00004241907,0.0000120478535,0.0000047936833],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997735,0.00006607761,0.0013186791,0.0000500337,0.00071456085,0.000115609],"domain_scores_gemma":[0.99882096,0.00007917693,0.0003212851,0.00007752656,0.0006280398,0.000072999814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013057137,0.00014807367,0.00020301911,0.0005434354,0.00004042955,0.00026679153,0.000086747954,0.0003437146,0.00006855185],"category_scores_gemma":[0.000060050166,0.000130074,0.00007114526,0.000393143,0.000031927306,0.0049300133,0.000008593142,0.00071014336,0.000006063072],"study_design_candidate":"design_other","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":[0.00006825022,0.000016095855,0.0009888695,0.00026776036,0.00031001234,0.000001241779,0.004692203,0.0954512,0.000877176,0.012444465,0.0040264046,0.88085634],"study_design_scores_gemma":[0.009389808,0.0011035857,0.00393705,0.0071605537,0.0011176402,0.0007017007,0.16215184,0.51997876,0.28404367,0.0012509067,0.008153144,0.0010113303],"about_ca_topic_score_codex":0.00002102682,"about_ca_topic_score_gemma":0.0000027997867,"teacher_disagreement_score":0.879845,"about_ca_system_score_codex":0.00048249523,"about_ca_system_score_gemma":0.00020149827,"threshold_uncertainty_score":0.5304263},"labels":[],"label_agreement":null},{"id":"W4405184720","doi":"10.1016/j.jii.2024.100745","title":"A blockchain-enabled horizontal federated learning system for fuzzy invasion detection in maintaining space security","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Adversarial Robustness in Machine Learning","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Hong Kong Polytechnic University; Hang Seng University of Hong Kong","keywords":"Blockchain; Space (punctuation); Fuzzy logic; Computer science; Computer security; Artificial intelligence; Operating system","score_opus":0.018842172050531524,"score_gpt":0.2571739755365058,"score_spread":0.23833180348597427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405184720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1393481,0.000024599889,0.8561379,0.0005374562,0.002933663,0.00038623673,0.0000014856838,0.00014947636,0.00048111708],"genre_scores_gemma":[0.9953674,0.0000038892795,0.0038618383,0.000020757161,0.0006911422,0.000019002675,0.000013027793,0.0000111275085,0.000011798011],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764025,0.0003005816,0.0011953999,0.00015228435,0.000463315,0.00024818207],"domain_scores_gemma":[0.99808174,0.00038805514,0.0008237704,0.0001009809,0.0005223556,0.00008307004],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0032499363,0.00019285487,0.00030081393,0.0010419629,0.00027872564,0.0010410044,0.00028453782,0.00030168757,0.0000038982557],"category_scores_gemma":[0.0018454214,0.00016704269,0.00014516093,0.0010298659,0.000017023523,0.003962905,0.00006622152,0.0014213878,0.000009113241],"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":[0.0011219186,0.00005364914,0.0003703947,0.00021177324,0.00012867102,0.000053944506,0.018783243,0.37663865,0.0064035086,0.08057312,0.0006910766,0.51497006],"study_design_scores_gemma":[0.0016678028,0.00064691703,0.000029018573,0.0009796622,0.000020331814,0.00019303028,0.006328296,0.9776739,0.010199348,0.0008508859,0.0012231903,0.00018763816],"about_ca_topic_score_codex":0.0001393335,"about_ca_topic_score_gemma":0.000060748913,"teacher_disagreement_score":0.8560193,"about_ca_system_score_codex":0.001074884,"about_ca_system_score_gemma":0.0004009604,"threshold_uncertainty_score":0.999996},"labels":[],"label_agreement":null},{"id":"W4407599460","doi":"10.1016/j.jii.2025.100792","title":"End-to-end autonomous underwater vehicle path following control method based on improved soft actor–critic for deep space exploration","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Science Foundation of Tianjin City; National Natural Science Foundation of China","keywords":"Path (computing); Underwater; Marine engineering; Space (punctuation); Engineering; Computer science; End-to-end principle; Aerospace engineering; Artificial intelligence; Geology; Computer network","score_opus":0.033701704621806904,"score_gpt":0.3000915545765266,"score_spread":0.2663898499547197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407599460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013662276,0.0000052755213,0.98706055,0.008001847,0.0026543622,0.00067916187,0.000009946421,0.0000626814,0.00015994495],"genre_scores_gemma":[0.67768073,5.198568e-7,0.31985652,0.002012003,0.00030266112,0.00006262179,0.00003370988,0.000008932292,0.00004227389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782085,0.00021077596,0.0011053347,0.00015343715,0.00044765172,0.00026192018],"domain_scores_gemma":[0.9974725,0.00080148026,0.00069433596,0.00025235926,0.00065588887,0.00012341222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021153202,0.00020688746,0.00034683698,0.0007579966,0.00020959391,0.0006256397,0.0004318292,0.0002291819,0.0000052819933],"category_scores_gemma":[0.0018949361,0.00017066333,0.00021529736,0.0005086965,0.000012257571,0.0042538997,0.000025810577,0.0004359721,0.000010179068],"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":[0.0006644394,0.00012283817,0.00010654439,0.00002549088,0.00013943725,0.00000498547,0.0032580404,0.4948637,0.005876208,0.007229613,0.0031073738,0.48460135],"study_design_scores_gemma":[0.003523541,0.00077235093,0.000060809773,0.0002262287,0.000050232105,0.0000041074086,0.00041037594,0.9802069,0.012207517,0.0008618163,0.0015167092,0.00015943291],"about_ca_topic_score_codex":0.00002222595,"about_ca_topic_score_gemma":0.0000026355222,"teacher_disagreement_score":0.67631453,"about_ca_system_score_codex":0.00049603404,"about_ca_system_score_gemma":0.0006142651,"threshold_uncertainty_score":0.69594485},"labels":[],"label_agreement":null},{"id":"W4408535235","doi":"10.1016/j.jii.2025.100825","title":"An integrated decision support framework for exploring the barriers and potential application scenarios in metaverse hospitality","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Hospitality; Business; Process management; Knowledge management; Engineering; Computer science; Marketing; Tourism; Political science","score_opus":0.03697719459465765,"score_gpt":0.30993688584853146,"score_spread":0.2729596912538738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408535235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14214118,0.0000043893606,0.85519356,0.001648988,0.00049550476,0.0004574644,0.0000071511968,0.000014554343,0.000037236114],"genre_scores_gemma":[0.96959317,0.00003148506,0.029815966,0.00037480137,0.00008628884,0.00007036317,0.000022722783,0.0000025761942,0.000002653836],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850494,0.00008697404,0.0009046429,0.00010322903,0.00026709438,0.0001331522],"domain_scores_gemma":[0.99829936,0.0002276621,0.0005408705,0.00028330923,0.0005469926,0.000101808386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018999786,0.00011332385,0.00018115042,0.00041184473,0.00018932135,0.0005011902,0.0004624314,0.00014907336,0.000004250004],"category_scores_gemma":[0.0017624784,0.000076972545,0.00006973787,0.00075307913,0.00004153518,0.005490268,0.00003846505,0.00040567326,0.0000016849459],"study_design_candidate":"design_other","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":[0.0001858831,0.000034751807,0.00022453946,0.0000039382376,0.000018786168,1.761545e-7,0.002061061,0.0037244433,0.00014278584,0.13231918,0.00086670386,0.8604177],"study_design_scores_gemma":[0.006010404,0.0020064602,0.012996721,0.0006823054,0.00014111212,0.000048326103,0.03384606,0.7467776,0.010355185,0.14646678,0.040061608,0.0006074309],"about_ca_topic_score_codex":0.00007448103,"about_ca_topic_score_gemma":0.00002045469,"teacher_disagreement_score":0.8598103,"about_ca_system_score_codex":0.00018515735,"about_ca_system_score_gemma":0.00039837128,"threshold_uncertainty_score":0.48329887},"labels":[],"label_agreement":null},{"id":"W4409392377","doi":"10.1016/j.jii.2025.100850","title":"Integrated IoT-based production, deep learning, and Business Intelligence approaches for organic food production","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Conversant (Canada)","funders":"","keywords":"Production (economics); Internet of Things; Food processing; Business; Manufacturing engineering; Computer science; Engineering; Food science; Embedded system; Economics","score_opus":0.05377405635566328,"score_gpt":0.23877122312369775,"score_spread":0.18499716676803446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409392377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9443971,0.000089370835,0.044012897,0.008784678,0.0016053861,0.00095328834,0.000010611182,0.000052745636,0.000093933006],"genre_scores_gemma":[0.9978138,0.000018958584,0.0014862341,0.000051588122,0.00042434316,0.000028670718,0.00011732332,9.984265e-7,0.000058089514],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99857974,0.00012557687,0.0008210178,0.00013366785,0.00020878896,0.00013123179],"domain_scores_gemma":[0.9975402,0.00017252019,0.00063424464,0.000043875887,0.0015626936,0.000046471803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012108166,0.00014584274,0.00020827353,0.00012497618,0.00023583502,0.00016967348,0.00013113763,0.00020493349,0.00003699587],"category_scores_gemma":[0.005788783,0.000064864136,0.00006942271,0.0010387434,0.00007666403,0.0009550787,0.0000146866,0.0004009056,0.0000014992202],"study_design_candidate":"design_other","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":[0.00064467563,0.00011721649,0.0026273842,0.000038174032,0.000041680523,5.1629822e-8,0.00040936586,0.0027278406,0.006807631,0.0006059355,0.000844281,0.98513573],"study_design_scores_gemma":[0.0038356795,0.011254022,0.03254163,0.0020249933,0.00052058476,0.00014906366,0.06943539,0.06112759,0.6459644,0.013234892,0.15816198,0.0017497783],"about_ca_topic_score_codex":0.00002316604,"about_ca_topic_score_gemma":0.0002215331,"teacher_disagreement_score":0.983386,"about_ca_system_score_codex":0.00014769922,"about_ca_system_score_gemma":0.00011659467,"threshold_uncertainty_score":0.69301325},"labels":[],"label_agreement":null},{"id":"W4414417962","doi":"10.1016/j.jii.2025.100963","title":"Multi-objective heterogeneous interactive human-robot collaborative disassembly line balancing with partial destructive mode in type-2 fuzzy environment","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Fuzzy logic; Operator (biology); Process (computing); Interval (graph theory); Metaheuristic; Load balancing (electrical power); Fuzzy set; Assembly line","score_opus":0.015416910292160114,"score_gpt":0.25899771427387985,"score_spread":0.24358080398171975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414417962","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45156053,0.000041981893,0.54664224,0.00005728712,0.00067569164,0.00042624827,0.000019072759,0.00003372771,0.0005431881],"genre_scores_gemma":[0.9938564,0.00005730342,0.005868889,0.000024063998,0.00010164147,0.000017949878,0.000054427586,0.000008991078,0.000010388783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988352,0.000052870364,0.0007126929,0.00007389721,0.00019347397,0.00013187232],"domain_scores_gemma":[0.9991078,0.000058787806,0.00039692372,0.00007417423,0.00032058102,0.00004175299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017737735,0.00017279436,0.00024818422,0.00041688004,0.000070146685,0.000113845745,0.00009146092,0.00015241078,0.0000172993],"category_scores_gemma":[0.0001236632,0.00013903761,0.00003743422,0.00033561743,0.00002184832,0.0017167592,0.000011476766,0.0004383189,0.000003837075],"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":[0.00046881873,0.000028679418,0.00027090963,0.000012421151,0.00007927782,0.0000019448537,0.0030320503,0.98502046,0.0019689316,0.000089255765,0.00004552666,0.008981724],"study_design_scores_gemma":[0.0061931354,0.0011538601,0.0009908602,0.0011574059,0.00012411858,0.000027022788,0.008329276,0.46174625,0.51862645,0.00054926483,0.0005877367,0.0005146101],"about_ca_topic_score_codex":0.000034937908,"about_ca_topic_score_gemma":0.00004066707,"teacher_disagreement_score":0.5422958,"about_ca_system_score_codex":0.00060221343,"about_ca_system_score_gemma":0.000120166966,"threshold_uncertainty_score":0.5669789},"labels":[],"label_agreement":null},{"id":"W4415069839","doi":"10.1016/j.jii.2025.100975","title":"Towards human digital twin: Reviewing human modelling and simulation","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":3,"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 Guelph","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Key (lock); Component (thermodynamics); Simulation modeling; Field (mathematics)","score_opus":0.05636787363702022,"score_gpt":0.2784196155022139,"score_spread":0.22205174186519366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415069839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7841128,0.0000855715,0.20703708,0.00005566641,0.0006109115,0.00014852807,0.000006618147,0.000039034472,0.007903811],"genre_scores_gemma":[0.99949193,0.000031382646,0.00017260642,0.000029258412,0.00021466728,0.0000012887888,0.000032387466,0.0000049499977,0.00002153205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989325,0.00001076704,0.00082788867,0.000033364526,0.00011753211,0.00007794735],"domain_scores_gemma":[0.99943674,0.000026777996,0.00024568097,0.000059879512,0.00019311263,0.000037799182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028866023,0.000101681566,0.00017748629,0.00035497572,0.00011284051,0.00037317508,0.00007126481,0.000118030664,0.0000147462515],"category_scores_gemma":[0.00006625657,0.000090211775,0.00006509541,0.000116903015,0.000014310513,0.0027273314,0.000011350437,0.00030540078,0.0000023612868],"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":[0.0000151860295,0.0000070610035,0.0001995618,0.00003232406,0.00004553888,1.9362925e-7,0.0009464732,0.91724634,0.00018581304,0.0069239927,0.0011788779,0.073218614],"study_design_scores_gemma":[0.0019314209,0.00020141249,0.0004304128,0.001130588,0.000085047206,0.0000060447915,0.0010704882,0.95096594,0.0025107325,0.0057826666,0.035545714,0.00033955887],"about_ca_topic_score_codex":0.000007165098,"about_ca_topic_score_gemma":0.0000016415713,"teacher_disagreement_score":0.21537913,"about_ca_system_score_codex":0.00015108818,"about_ca_system_score_gemma":0.00003231248,"threshold_uncertainty_score":0.36787292},"labels":[],"label_agreement":null},{"id":"W4415535051","doi":"10.1016/j.jii.2025.100988","title":"LightPose: A lightweight fatigue-aware pose estimation framework","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"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 Guelph","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Pose; Kinematics; Consistency (knowledge bases); Bridging (networking); Metric (unit); 3D pose estimation; Human motion","score_opus":0.030715767505788943,"score_gpt":0.2783168790271272,"score_spread":0.24760111152133826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415535051","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010774593,0.00005266519,0.97878575,0.0008646456,0.0031680642,0.00018147867,0.0000012809217,0.00011066561,0.006060858],"genre_scores_gemma":[0.9947651,0.00003496221,0.0044447435,0.00018693267,0.0004154702,0.0000057896473,0.000048615293,0.0000086989985,0.00008970397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984159,0.000051609393,0.0010671829,0.0000444547,0.00029541514,0.00012542673],"domain_scores_gemma":[0.9988879,0.0001172211,0.00040710837,0.00011454224,0.00041104565,0.000062209576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040422272,0.00014683593,0.00021298397,0.0007020644,0.000105857136,0.0002555173,0.00014592378,0.00030781206,0.00016001545],"category_scores_gemma":[0.0006871707,0.00012463867,0.0001024947,0.0005922872,0.000014843914,0.0026031118,0.000010584906,0.0007345232,0.000043354205],"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":[0.00009020423,0.000020569552,0.00030229555,0.000035905312,0.00008775685,0.0000013089343,0.0017245803,0.7382404,0.0002126352,0.017209843,0.05039205,0.19168243],"study_design_scores_gemma":[0.0013576834,0.00014576924,0.0007725618,0.0012144777,0.00006959379,0.000023860446,0.0010417267,0.9485227,0.009112686,0.0029745782,0.034497783,0.00026659935],"about_ca_topic_score_codex":0.000004697968,"about_ca_topic_score_gemma":0.0000016506838,"teacher_disagreement_score":0.9839905,"about_ca_system_score_codex":0.00022654019,"about_ca_system_score_gemma":0.00010975542,"threshold_uncertainty_score":0.50826174},"labels":[],"label_agreement":null},{"id":"W4416420420","doi":"10.1016/j.jii.2025.101013","title":"An anonymization framework for IEC 61850 substation communications: Field-level and topology-aware privacy","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Siemens (Canada); University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"IEC 61850; Testbed; Network packet; Encryption; Data sharing; Cryptography; Field (mathematics); Information privacy","score_opus":0.04567730763798369,"score_gpt":0.3182157208951674,"score_spread":0.27253841325718375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416420420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080139495,0.00011863234,0.916669,0.0013862669,0.0012019179,0.00028486573,0.000014806862,0.0000362863,0.00014873888],"genre_scores_gemma":[0.98202986,0.00044527827,0.016874637,0.00028204996,0.00022860327,0.000018329836,0.000110981826,0.0000045701436,0.0000056655845],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907106,0.000047887508,0.0006374867,0.000041470656,0.00011409856,0.00008798385],"domain_scores_gemma":[0.9987697,0.00033303036,0.000251519,0.0001760531,0.00042841578,0.000041252457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039639202,0.00009009172,0.00014133609,0.0003157397,0.000145846,0.00016583122,0.00020965756,0.0002727043,0.000010503756],"category_scores_gemma":[0.0008700267,0.000080503996,0.000040747007,0.0002573293,0.00003638224,0.0025804206,0.000013571106,0.00035606904,0.0000012052049],"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":[0.0005545185,0.00010927771,0.0028286178,0.00014390782,0.00013797845,3.7978984e-7,0.011961719,0.021923378,0.0011914585,0.14701809,0.017798074,0.7963326],"study_design_scores_gemma":[0.005046518,0.0014576423,0.0040675476,0.0019958685,0.00019709379,0.000046670135,0.015677352,0.82697606,0.04566034,0.054590844,0.043649167,0.00063490856],"about_ca_topic_score_codex":0.000011026314,"about_ca_topic_score_gemma":0.000019529676,"teacher_disagreement_score":0.9018904,"about_ca_system_score_codex":0.000081893864,"about_ca_system_score_gemma":0.00009070938,"threshold_uncertainty_score":0.32828578},"labels":[],"label_agreement":null},{"id":"W7081907739","doi":"10.1016/j.jii.2025.100957","title":"Special issue on “Industrial information integration in space informatics”","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Space (punctuation); Information integration; Information space; System integration; Data integration; Information system","score_opus":0.027137280555924483,"score_gpt":0.25486223580045797,"score_spread":0.22772495524453348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081907739","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013095175,0.000008043379,0.44762734,0.025069894,0.01607948,0.0012089456,0.000017725708,0.0001258718,0.49676752],"genre_scores_gemma":[0.9590746,0.0000948571,0.012949521,0.0055495244,0.019518182,0.00007674994,0.00041932924,0.00000961995,0.0023076222],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99645907,0.0001365083,0.0023988215,0.00008502423,0.0006483216,0.0002722818],"domain_scores_gemma":[0.99656683,0.00020736844,0.0018084871,0.00030571432,0.0010201868,0.00009142139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018689192,0.00025808933,0.00037716975,0.001445166,0.00014843213,0.0007271669,0.0007104042,0.00051742705,0.00012072011],"category_scores_gemma":[0.0035877991,0.00021450722,0.00014584465,0.0014333536,0.0000438349,0.011967462,0.00009318486,0.0012200385,0.0001218589],"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":[0.0003845562,0.00006851598,0.00025059388,0.000018687933,0.000026121616,0.0000017224986,0.0051055453,0.0079211965,0.000042747295,0.07975162,0.24735597,0.6590727],"study_design_scores_gemma":[0.0053939945,0.00067761523,0.00030686575,0.0011569435,0.000024561257,0.00004113772,0.0066844076,0.044338573,0.014780151,0.0049611446,0.92124546,0.00038916213],"about_ca_topic_score_codex":0.000038938386,"about_ca_topic_score_gemma":0.000010575839,"teacher_disagreement_score":0.9459794,"about_ca_system_score_codex":0.0004599686,"about_ca_system_score_gemma":0.0005637927,"threshold_uncertainty_score":0.87473506},"labels":[],"label_agreement":null},{"id":"W7081963767","doi":"10.1016/j.jii.2025.100937","title":"Sustainable planning battery electric buses charging station under two decision-making criteria","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Hebei Province Graduate Innovation Funding Project; Hebei University; Natural Science Foundation of Hebei Province; National Natural Science Foundation of China","keywords":"Battery (electricity); Sustainable energy; Automotive battery; Electric vehicle; Sustainable development; Charging station","score_opus":0.026320177449447955,"score_gpt":0.3097448373181516,"score_spread":0.28342465986870363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7081963767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051185958,0.000040601728,0.9413726,0.0020799835,0.0009060107,0.00012719768,6.4936535e-7,0.00003535793,0.0042516827],"genre_scores_gemma":[0.9926728,0.0000056452755,0.006294818,0.0006443624,0.00020686464,0.0000047452645,0.000008035197,0.0000013490687,0.00016137992],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983742,0.00007903047,0.0009254266,0.000088665096,0.0003120684,0.00022060373],"domain_scores_gemma":[0.99743164,0.00038155023,0.00083471136,0.00015070746,0.0011612846,0.000040121868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012366265,0.00012688419,0.00018676149,0.00074148545,0.0002408766,0.00067664037,0.00038815185,0.00012879734,0.00003843745],"category_scores_gemma":[0.0020956763,0.000107542066,0.000071382376,0.00093561294,0.000012560737,0.0052427216,0.00007014026,0.00042190988,0.0000056055146],"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":[0.00056243915,0.00010028514,0.0012587716,0.00010085831,0.00014847699,0.000041460582,0.0074968026,0.1712009,0.0053258343,0.18496077,0.11440726,0.51439613],"study_design_scores_gemma":[0.0065914965,0.0006447744,0.003948938,0.004748338,0.00010657185,0.00047612438,0.025239294,0.63040537,0.045073513,0.21621154,0.06560553,0.00094847643],"about_ca_topic_score_codex":0.000017945036,"about_ca_topic_score_gemma":6.522851e-7,"teacher_disagreement_score":0.94148684,"about_ca_system_score_codex":0.00025105526,"about_ca_system_score_gemma":0.00039201562,"threshold_uncertainty_score":0.65248585},"labels":[],"label_agreement":null},{"id":"W7104637980","doi":"10.1016/j.jii.2025.101010","title":"From brain to reflex: An emergency response control architecture for embodied intelligent robots","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Information Integration","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Robot; Embodied cognition; Emergency response; Response time; Motion control; Intelligent control; Process (computing); Robustness (evolution)","score_opus":0.02496505405269216,"score_gpt":0.2937972322524321,"score_spread":0.2688321781997399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104637980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027717087,0.000017946364,0.96166307,0.0064990614,0.0028866858,0.0005980803,0.000041219533,0.000052985943,0.0005238624],"genre_scores_gemma":[0.99392045,0.000007300753,0.0038919486,0.0010549327,0.00085938483,0.00004994418,0.00006801491,0.00001202965,0.0001359788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833876,0.00012557488,0.0011333234,0.000059693903,0.00019979627,0.00014284615],"domain_scores_gemma":[0.9988107,0.00021025461,0.00026196253,0.00014323268,0.0004541456,0.000119702796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090217375,0.00014898113,0.00026121127,0.00053214474,0.000066642424,0.00011175339,0.00019116036,0.00019462091,0.00009691549],"category_scores_gemma":[0.001314722,0.00012327776,0.00013782179,0.0002626865,0.000008106244,0.00088137377,0.0000067334972,0.00034338122,0.00001423978],"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":[0.0042731385,0.00003364828,0.00002336889,0.000008433976,0.00014669712,4.459525e-7,0.0027767583,0.5075854,0.006260054,0.0017255583,0.07160058,0.4055659],"study_design_scores_gemma":[0.02382673,0.003937906,0.0016818129,0.0010674533,0.00040480107,0.000024097963,0.00987829,0.5704435,0.041567724,0.017660463,0.32833683,0.0011703894],"about_ca_topic_score_codex":0.000017448774,"about_ca_topic_score_gemma":0.000027855305,"teacher_disagreement_score":0.9662034,"about_ca_system_score_codex":0.00021346731,"about_ca_system_score_gemma":0.00011656728,"threshold_uncertainty_score":0.5027121},"labels":[],"label_agreement":null}]}