{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":45,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":45,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"d445e0cb764c","filters":{"venue":"International Journal of Information Technology & Decision Making"}},"results":[{"id":"W2156100393","doi":"10.1142/s0219622011004543","title":"AN EMPIRICAL ANALYSIS OF FACTORS INFLUENCING INTERNET/E-BUSINESS TECHNOLOGIES ADOPTION BY SMES IN CANADA","year":2011,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":272,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"Cape Breton University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Cape Breton University","keywords":"Business; Small and medium-sized enterprises; Marketing; Revenue; The Internet; Government (linguistics); Industrial organization; Appeal; Knowledge management; Computer science; Accounting","authors":[{"name":"Princely Ifinedo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05570112712642883,"gpt":0.3684191778049302,"spread":0.3127180506785013,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008318242,0.0001672461,0.0002427665,0.001450146,0.002505054,0.001578103,0.0004678839,0.0002604649,0.001647242],"category_scores_gemma":[0.005403716,0.0001664294,0.0002738039,0.003949124,0.0006418811,0.0003834601,0.0008642643,0.0004129022,0.0001474932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01285481,"about_ca_system_score_gemma":0.02720095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764166,"about_ca_topic_score_gemma":0.9840575,"domain_scores_codex":[0.9992959,0.0000762198,0.0000579345,0.00006201077,0.0002935525,0.0002143355],"domain_scores_gemma":[0.9943638,0.001138545,0.0005993895,0.00008493035,0.00271344,0.001099842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009076989,0.0001298043,0.9633938,0.00009097841,0.00001784703,0.0003999657,0.01718494,0.0001953999,0.001107705,0.0004803971,0.0004404145,0.01646801],"study_design_scores_gemma":[0.000003568667,0.00003168457,0.975092,0.00004891874,0.00001383877,0.0000475908,0.02271008,0.0005897761,0.0002252454,0.00002364392,0.001201364,0.00001230221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99829,0.00006632094,0.00003430493,0.00009741884,0.000001123737,0.00001666583,0.0001393098,0.000002120991,0.001352709],"genre_scores_gemma":[0.9989346,0.0001841823,0.0001235877,0.0000251991,7.940294e-7,0.00001100667,0.000140425,0.000001678615,0.0005785429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02358341,"threshold_uncertainty_score":0.09326863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2890227220","doi":"10.1142/s021962201841002x","title":"A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM","year":2018,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Adaptive neuro fuzzy inference system; Support vector machine; Singular spectrum analysis; Hilbert–Huang transform; Computer science; Econometrics; Stock price; Stock (firearms); Artificial intelligence; Stock market; Time series; Data mining; Pattern recognition (psychology); Machine learning; Fuzzy logic; Series (stratigraphy); Economics; Singular value decomposition; Fuzzy control system; White noise; Engineering","authors":[{"name":"Jihong Xiao","is_ca":false},{"name":"Xuehong Zhu","is_ca":false},{"name":"Chuangxia Huang","is_ca":false},{"name":"Xiaoguang Yang","is_ca":false},{"name":"Fenghua Wen","is_ca":true},{"name":"Meirui Zhong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04804812834144129,"gpt":0.4002494417166428,"spread":0.3522013133752016,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005640564,0.0008406442,0.001078069,0.001360884,0.0003501631,0.0008385042,0.0008747118,0.0007834996,0.001333855],"category_scores_gemma":[0.001244827,0.0003534391,0.0009824604,0.00101581,0.0002281908,0.001205696,0.0006112034,0.000864266,0.0005160593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003318973,"about_ca_system_score_gemma":0.0005869376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004421385,"about_ca_topic_score_gemma":0.003216787,"domain_scores_codex":[0.9995694,0.00007042848,0.00005173505,0.0001010444,0.0001765055,0.00003100392],"domain_scores_gemma":[0.9995916,0.0001371062,0.00004641205,0.00002702146,0.0001766319,0.00002131001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001351357,0.0001771168,0.003954456,0.0002750475,0.0002368741,0.0002354145,0.0001292088,0.3265851,0.01995031,0.01071937,0.003387153,0.6342149],"study_design_scores_gemma":[0.000003613287,0.00001849992,0.000284822,0.000004888474,0.00001161531,0.00002452863,0.00000612296,0.997394,0.000585574,0.001016411,0.0006450248,0.000005004697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005484521,0.0003229963,0.9929837,0.00005160711,0.00004865691,0.00003087605,0.00003663036,0.0003436126,0.0006975363],"genre_scores_gemma":[0.4547032,0.001222322,0.5384226,0.0001202414,0.0003153076,0.0003458287,0.0004691547,0.00007762968,0.004323843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004421385,"threshold_uncertainty_score":0.008791268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3193171431","doi":"10.1142/s0219622021500619","title":"Pointer-Based Item-to-Item Collaborative Filtering Recommendation System Using a Machine Learning Model","year":2021,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Recommender system; Computer science; Collaborative filtering; Machine learning; Artificial intelligence; Scalability; Context (archaeology); Similarity (geometry); Recall; Mean squared error; Information retrieval; Image (mathematics); Database; Mathematics; Statistics","authors":[{"name":"Celestine Iwendi","is_ca":true},{"name":"Ebuka Ibeke","is_ca":true},{"name":"Harshini Eggoni","is_ca":true},{"name":"Sreerajavenkatareddy Velagala","is_ca":true},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01715713640805244,"gpt":0.307494911679278,"spread":0.2903377752712256,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001450091,0.0008663252,0.002375208,0.001560099,0.001240024,0.001419323,0.002482416,0.001831524,0.004160558],"category_scores_gemma":[0.002672381,0.0005298639,0.00158342,0.002322041,0.0003890679,0.002188665,0.0006944276,0.001343045,0.003297299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258215,"about_ca_system_score_gemma":0.001706782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04766257,"about_ca_topic_score_gemma":0.03995444,"domain_scores_codex":[0.9985719,0.0002011691,0.000150406,0.0004942171,0.0004590228,0.0001232088],"domain_scores_gemma":[0.9986511,0.0003206031,0.00007705158,0.0001472949,0.0007478237,0.00005613486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006666884,0.0009038162,0.008698529,0.0003889011,0.0004780481,0.0005304069,0.0002557019,0.2469874,0.01217659,0.005384661,0.01500958,0.7085198],"study_design_scores_gemma":[0.00003192894,0.0001077261,0.0007689449,0.00001124908,0.00005368454,0.0001027799,0.00001778703,0.9947909,0.001695143,0.0009641686,0.001426151,0.00002970977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04446682,0.0009772436,0.940501,0.0006546918,0.0002377821,0.0003635592,0.0007478826,0.006208075,0.005842833],"genre_scores_gemma":[0.5383184,0.001074623,0.4383177,0.0005000007,0.000202511,0.0005009485,0.001490017,0.0001027236,0.01949308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04766257,"threshold_uncertainty_score":0.09477025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2560655418","doi":"10.1142/s0219622017500055","title":"Rule Extraction from Decision Trees Ensembles: New Algorithms Based on Heuristic Search and Sparse Group Lasso Methods","year":2016,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lasso (programming language); Decision tree; Heuristic; Set (abstract data type); Computer science; Tree (set theory); Algorithm; Random forest; Artificial intelligence; Mathematics; Machine learning; Combinatorics","authors":[{"name":"Morteza Mashayekhi","is_ca":true},{"name":"Robin Gras","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02190308660357549,"gpt":0.3654621562586552,"spread":0.3435590696550798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002742014,0.001432221,0.002456498,0.002508129,0.0005347566,0.001272806,0.001858463,0.001370784,0.001861354],"category_scores_gemma":[0.008834327,0.0006675508,0.001701217,0.002364818,0.0005286361,0.001444443,0.001353761,0.002079119,0.001002295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004336323,"about_ca_system_score_gemma":0.001037803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001791806,"about_ca_topic_score_gemma":0.002293497,"domain_scores_codex":[0.9983291,0.0005822984,0.0001773508,0.0002985153,0.0005291959,0.00008354741],"domain_scores_gemma":[0.9961836,0.002298056,0.0004448919,0.000300269,0.0006504616,0.0001228631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001390403,0.0002026336,0.001682344,0.0002346933,0.0002796786,0.0001498463,0.0001556778,0.3030977,0.003832983,0.008080334,0.005948343,0.6761967],"study_design_scores_gemma":[0.00002004917,0.00002767601,0.0001401454,0.00001546886,0.00002405128,0.00003311807,0.00001195655,0.9936888,0.0005986625,0.004646395,0.0007836655,0.000009974991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003915078,0.0003635632,0.9944927,0.0001095065,0.00003871979,0.00007410788,0.00006592655,0.0005124559,0.000428077],"genre_scores_gemma":[0.07713065,0.0004200443,0.9199255,0.0002607157,0.0001805033,0.0004857254,0.000693006,0.0001405633,0.0007633143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002742014,"threshold_uncertainty_score":0.01450127,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061574106","doi":"10.1142/s0219622012400032","title":"DECISION THEORY WITH IMPRECISE PROBABILITIES","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy logic; Computer science; Expected utility hypothesis; Decision theory; Optimal decision; Representation (politics); Decision rule; Fuzzy measure theory; Function (biology); Decision analysis; Fuzzy set; Mathematical optimization; Mathematics; Artificial intelligence; Fuzzy number; Mathematical economics; Decision tree; Statistics","authors":[{"name":"Rafik Aziz Aliev","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"O. H. Huseynov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03434845697427742,"gpt":0.3850031714941753,"spread":0.3506547145198979,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008640175,0.001557653,0.001994983,0.003010061,0.001107563,0.005880185,0.001970217,0.002056978,0.003830341],"category_scores_gemma":[0.01646987,0.0007622121,0.002077537,0.003310284,0.006798191,0.006835771,0.002507776,0.004478647,0.0008048774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003755541,"about_ca_system_score_gemma":0.001916637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971439,"about_ca_topic_score_gemma":0.001023078,"domain_scores_codex":[0.9892152,0.005741874,0.0005803762,0.0009939665,0.003018291,0.0004503311],"domain_scores_gemma":[0.9876634,0.0100131,0.0006544996,0.0006516163,0.0008169223,0.0002004407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007204896,0.000007468707,0.00006768048,0.00008483983,0.0000235,0.00004695092,0.00008230325,0.02757203,0.00005310539,0.9662099,0.0003965201,0.005448558],"study_design_scores_gemma":[0.000007013905,0.000009923467,0.00003722246,0.00004407236,0.00000891329,0.00003235162,0.00001989874,0.0403235,0.00004509015,0.9568336,0.002629274,0.000009086376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00609874,0.006214445,0.9648585,0.002014347,0.0002064126,0.00006948341,0.0001742886,0.00006341081,0.0203004],"genre_scores_gemma":[0.6030468,0.01615202,0.3681291,0.0008307454,0.0014472,0.0006409694,0.0003794913,0.00006341296,0.009310076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008640175,"threshold_uncertainty_score":0.04569411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3153436225","doi":"10.1142/s0219622021500310","title":"Rec-CFSVD++: Implementing Recommendation System Using Collaborative Filtering and Singular Value Decomposition (SVD)++","year":2021,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"MovieLens; Singular value decomposition; Recommender system; Collaborative filtering; Computer science; Cosine similarity; Matrix decomposition; Mean squared error; Similarity (geometry); Matrix (chemical analysis); Singular value; Word error rate; Decomposition; Algorithm; Data mining; Cluster analysis; Information retrieval; Mathematics; Artificial intelligence; Statistics","authors":[{"name":"Taushif Anwar","is_ca":false},{"name":"V. Uma","is_ca":false},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01213180130629614,"gpt":0.3307158683242676,"spread":0.3185840670179715,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001305791,0.001569224,0.001537659,0.001562997,0.000837015,0.001447384,0.002535477,0.001598347,0.006855251],"category_scores_gemma":[0.002559881,0.0006350786,0.001494964,0.001883664,0.0002617041,0.001542613,0.001114078,0.001021502,0.005728452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005034951,"about_ca_system_score_gemma":0.001060559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775789,"about_ca_topic_score_gemma":0.01822479,"domain_scores_codex":[0.99891,0.0001443893,0.000114836,0.0003287391,0.0004142422,0.00008780444],"domain_scores_gemma":[0.9989238,0.0002030977,0.00005518269,0.0002993376,0.0004719614,0.00004665663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007231803,0.0004819588,0.00452436,0.0008177239,0.0003944059,0.0005525646,0.0001905356,0.03241278,0.03414153,0.003376517,0.0559311,0.8664533],"study_design_scores_gemma":[0.0003018297,0.0004965853,0.003458247,0.00006742146,0.0001390542,0.0009904855,0.0001183052,0.8764542,0.06091692,0.003003698,0.0538498,0.000203523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01579211,0.0007847055,0.8821862,0.0001832183,0.0001880484,0.00042029,0.00239575,0.09482413,0.003225587],"genre_scores_gemma":[0.05979597,0.0004386344,0.9269024,0.0001927522,0.00004945175,0.000295611,0.00543093,0.0007134569,0.006180821],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01775789,"threshold_uncertainty_score":0.03530908,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110695864","doi":"10.1142/s0219622005001660","title":"ASSESSING FINANCIAL RISK TOLERANCE OF PORTFOLIO INVESTORS USING DATA ENVELOPMENT ANALYSIS","year":2005,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Toronto","funders":"","keywords":"Data envelopment analysis; Investment (military); Business; Actuarial science; Portfolio; Government (linguistics); Set (abstract data type); Finance; Investment strategy; Investment portfolio; Econometrics; Economics; Computer science; Statistics","authors":[{"name":"PARISA HOSSEINI ARDEHALI","is_ca":true},{"name":"Joseph C. Paradi","is_ca":true},{"name":"Mette Asmild","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0691312972528033,"gpt":0.4240138768046484,"spread":0.354882579551845,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01124926,0.0005410575,0.0008551731,0.003174552,0.0003939432,0.001613827,0.0003092392,0.0005235154,0.0006970865],"category_scores_gemma":[0.04781171,0.0001727143,0.0009343361,0.003928232,0.0004069923,0.001814182,0.001111113,0.0006056469,0.0001395506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127039,"about_ca_system_score_gemma":0.0009382344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003922291,"about_ca_topic_score_gemma":0.00168956,"domain_scores_codex":[0.9957699,0.002275707,0.0004728427,0.0002408052,0.00098583,0.0002548415],"domain_scores_gemma":[0.9640747,0.02834578,0.002866081,0.002343407,0.002080359,0.0002896216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000853844,0.0007409261,0.4294656,0.0001943402,0.0005582749,0.0002913483,0.003681114,0.3929744,0.006334022,0.02004501,0.0006912968,0.14417],"study_design_scores_gemma":[0.00002640955,0.0009651026,0.1419672,0.00005723847,0.00008089519,0.0001543397,0.002823782,0.8298941,0.006410756,0.01612961,0.001376828,0.0001138002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542826,0.00007256434,0.04414278,0.00006810492,0.000004143992,0.00005554502,0.0002003803,0.00003401872,0.001139875],"genre_scores_gemma":[0.986043,0.00003928185,0.01355752,0.000005686673,0.000001986976,0.00004281935,0.0001952737,0.000004584455,0.0001097529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01124926,"threshold_uncertainty_score":0.05949247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165270023","doi":"10.1142/s0219622003000537","title":"AGENT-BASED SYSTEM ARCHITECTURE FOR DYNAMIC AND OPEN ENVIRONMENTS","year":2003,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Western University; Acadia University","funders":"","keywords":"Computer science; Intranet; Architecture; Distributed computing; Interface (matter); Implementation; The Internet; Resource (disambiguation); World Wide Web; Computer network; Operating system; Software engineering","authors":[{"name":"Elhadi Shakshuki","is_ca":true},{"name":"Hamada Ghenniwa","is_ca":true},{"name":"MAHAMED KAMEL","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0104351669082363,"gpt":0.2890530311428359,"spread":0.2786178642345996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002306578,0.0006733942,0.0007671019,0.0007010712,0.00178187,0.004338489,0.002846144,0.003069491,0.006571212],"category_scores_gemma":[0.00326737,0.0005302466,0.0005927139,0.0008913917,0.001301099,0.003379634,0.002889893,0.002015247,0.002427729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456494,"about_ca_system_score_gemma":0.002721129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004781715,"about_ca_topic_score_gemma":0.006027531,"domain_scores_codex":[0.9985176,0.0005225549,0.000151565,0.0001750936,0.0005357592,0.00009751951],"domain_scores_gemma":[0.998817,0.0003328405,0.0001018798,0.0001824844,0.000407186,0.0001585429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001425197,0.0002283857,0.0009201784,0.0005594009,0.0001809256,0.0008211412,0.001357758,0.1868326,0.008073962,0.6325353,0.02391839,0.1444293],"study_design_scores_gemma":[0.0001706268,0.0001736483,0.0002819891,0.0001879635,0.0001125842,0.0003301777,0.0002026695,0.5794532,0.0024994,0.167798,0.2487044,0.00008540346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003334225,0.001077936,0.9725296,0.001163363,0.0002293609,0.0004445426,0.00006785738,0.002412493,0.01874062],"genre_scores_gemma":[0.1964956,0.001992744,0.772336,0.00061011,0.0001937716,0.001825844,0.0004371931,0.0001861353,0.02592257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006571212,"threshold_uncertainty_score":0.02198285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135597359","doi":"10.1142/s0219622009003302","title":"A RISK SCORING MODEL AND APPLICATION TO MEASURING INTERNET STOCK PERFORMANCE","year":2009,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Data envelopment analysis; Equity (law); The Internet; Business; Return on equity; Stock (firearms); Computer science; Econometrics; Actuarial science; Stock exchange; Finance; Economics; Statistics","authors":[{"name":"Chien‐Ta Bruce Ho","is_ca":false},{"name":"Desheng Wu","is_ca":true},{"name":"David L. Olson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02967458070398268,"gpt":0.3520842935858148,"spread":0.3224097128818322,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003703224,0.001176604,0.001012773,0.001948851,0.000553637,0.00175213,0.0009027455,0.0009162487,0.001422419],"category_scores_gemma":[0.009306776,0.0003463842,0.0009651428,0.001430031,0.0004723882,0.001482186,0.0007836164,0.001026153,0.0004423966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474829,"about_ca_system_score_gemma":0.001123173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005958642,"about_ca_topic_score_gemma":0.002880693,"domain_scores_codex":[0.9978091,0.0009597615,0.0001855426,0.0002373294,0.0006955165,0.0001127339],"domain_scores_gemma":[0.9957412,0.002578741,0.0004449127,0.0002138413,0.0009323009,0.00008905156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005821575,0.0001587235,0.005084555,0.00004380598,0.00007794811,0.00006567896,0.00008842589,0.8895539,0.00145323,0.01786297,0.0007377382,0.08481479],"study_design_scores_gemma":[0.000004283533,0.0000356483,0.0006933387,0.000009421918,0.000009094092,0.00002321215,0.00001372144,0.9934534,0.0004653101,0.004832308,0.0004454831,0.00001488663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0325794,0.0001549628,0.96392,0.0001961957,0.00002073859,0.0001331975,0.0000966546,0.0002534833,0.002645447],"genre_scores_gemma":[0.7148074,0.000383722,0.2809772,0.00007081368,0.00004080831,0.0004401352,0.000300062,0.00004806473,0.002931837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005958642,"threshold_uncertainty_score":0.01958472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995110138","doi":"10.1142/s0219622012500198","title":"A NEW RBF NEURAL NETWORK FOR PREDICTION IN INDUSTRIAL CONTROL","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Initialization; Sigmoid function; Computer science; Radial basis function; Artificial neural network; Hierarchical RBF; Activation function; Simple (philosophy); Radial basis function network; Artificial intelligence; Backpropagation; Function (biology); Algorithm; Control theory (sociology); Control (management)","authors":[{"name":"Achraf Jabeur Telmoudi","is_ca":false},{"name":"Hatem Tlijani","is_ca":false},{"name":"Lotfi Nabli","is_ca":false},{"name":"Maaruf Ali","is_ca":false},{"name":"Radhi Mhiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0182612515396682,"gpt":0.2934220487833543,"spread":0.2751607972436861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007998038,0.0007154103,0.0009727891,0.000474477,0.0003004316,0.000777075,0.001266014,0.001325941,0.001675597],"category_scores_gemma":[0.001224943,0.0003166035,0.0006097166,0.0006825927,0.0003398183,0.001217604,0.0005684409,0.001136147,0.0009306153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565287,"about_ca_system_score_gemma":0.000505432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002994905,"about_ca_topic_score_gemma":0.002097282,"domain_scores_codex":[0.9994344,0.0001281357,0.00003424904,0.0001256881,0.0002377794,0.00003972549],"domain_scores_gemma":[0.9997422,0.00006238952,0.00002344845,0.00002277206,0.0001368311,0.00001233434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002663858,0.0000999273,0.0007977303,0.000377094,0.0001126726,0.0002797837,0.00009157853,0.4679784,0.03669169,0.0261756,0.005704649,0.4614246],"study_design_scores_gemma":[0.00000766181,0.00002811038,0.0001108876,0.000009774814,0.000009454217,0.00004634374,0.000002435525,0.9939874,0.001840825,0.001154604,0.002791979,0.00001054109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003028673,0.001127162,0.9933599,0.0001092365,0.0001207095,0.00001924276,0.00003594932,0.0004748849,0.001724258],"genre_scores_gemma":[0.3999085,0.00283858,0.5845401,0.0002668544,0.0003753266,0.0002311135,0.0003946928,0.0001551074,0.01128975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002994905,"threshold_uncertainty_score":0.005954921,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006062995","doi":"10.1142/s0219622007002368","title":"COMPARISON OF INTERESTINGNESS MEASURES FOR WEB USAGE MINING: AN EMPIRICAL STUDY","year":2007,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Computer science; Association rule learning; Data mining; Pruning; Web mining; The Internet; Information retrieval; Web page; World Wide Web","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.06390906138059581,"gpt":0.4407990982195704,"spread":0.3768900368389746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03945874,0.0008422972,0.001438635,0.01445548,0.0009067834,0.001802108,0.001573708,0.001451573,0.0007750819],"category_scores_gemma":[0.193885,0.0002940401,0.001373451,0.009789038,0.001515993,0.005014465,0.001281807,0.001514025,0.0001849009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098073,"about_ca_system_score_gemma":0.0006318665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008382246,"about_ca_topic_score_gemma":0.000943288,"domain_scores_codex":[0.9726363,0.01130201,0.003741513,0.00175875,0.01002581,0.0005355701],"domain_scores_gemma":[0.3893923,0.5716248,0.01269253,0.01129361,0.01311336,0.001883435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002246927,0.002572549,0.5843765,0.001693059,0.001676441,0.0005060938,0.002206849,0.03468718,0.003388426,0.005812843,0.003783409,0.3570497],"study_design_scores_gemma":[0.0004123702,0.005080208,0.5742931,0.000383524,0.000871837,0.003610428,0.00280409,0.3791753,0.01038628,0.01812669,0.004586497,0.00026968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679112,0.004001057,0.02400543,0.0002985843,0.00003682823,0.0002545181,0.00111067,0.0003317695,0.002049877],"genre_scores_gemma":[0.9738687,0.0004830703,0.02361762,0.00003127957,0.00005014078,0.0001668787,0.001551819,0.00005992099,0.0001705197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03945874,"threshold_uncertainty_score":0.2086802,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2127262836","doi":"10.1142/s0219622005001684","title":"FINANCIAL LIBERALIZATION AND EFFICIENCY IN TUNISIAN BANKING INDUSTRY: DEA TEST","year":2005,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Liberalization; Financial system; Financial crisis; Business; Financial sector; Banking industry; Economics; Finance; International economics; Market economy; Macroeconomics","authors":[{"name":"Wade D. Cook","is_ca":true},{"name":"Moez Hababou","is_ca":true},{"name":"Liang Liang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01841413121114926,"gpt":0.3485507966295355,"spread":0.3301366654183863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0154005,0.0005024574,0.001096723,0.001385809,0.0006319823,0.001978087,0.000823458,0.0006981142,0.005433428],"category_scores_gemma":[0.0274958,0.0001847356,0.00134977,0.001779841,0.001360925,0.001248227,0.001512265,0.001247802,0.0002948081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791854,"about_ca_system_score_gemma":0.001727986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590339,"about_ca_topic_score_gemma":0.006689276,"domain_scores_codex":[0.993154,0.004400899,0.0003634027,0.0006369854,0.000567483,0.0008773308],"domain_scores_gemma":[0.9417285,0.04991063,0.004113704,0.001787193,0.001645885,0.0008140177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002653063,0.001804984,0.7888824,0.0002541506,0.002782742,0.001176062,0.001222005,0.08177705,0.001557455,0.04415093,0.003583408,0.07015573],"study_design_scores_gemma":[0.0004102553,0.003065008,0.6966919,0.0001160905,0.001238942,0.000288006,0.005144491,0.2643262,0.003952073,0.0163209,0.008376477,0.00006962248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871177,0.0006547683,0.004323336,0.0007275449,0.00003219166,0.00007503939,0.000411842,0.00001865574,0.006638868],"genre_scores_gemma":[0.9979875,0.0001496021,0.0007248533,0.00006711412,0.00003074737,0.00004308013,0.0002394138,0.000005292125,0.0007524968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01590339,"threshold_uncertainty_score":0.08144659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2808557434","doi":"10.1142/s0219622018500384","title":"Interactive Visualization for Group Decision Analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Visualization; Usability; Computer science; Context (archaeology); Quality (philosophy); Stakeholder; Decision quality; Citizen journalism; Process (computing); Group decision-making; Human–computer interaction; Knowledge management; Decision support system; Data science; Psychology; World Wide Web; Artificial intelligence; Social psychology; Team effectiveness","authors":[{"name":"Sanjana Bajracharya","is_ca":true},{"name":"Giuseppe Carenini","is_ca":true},{"name":"Brent C. Chamberlain","is_ca":false},{"name":"Ken Chen","is_ca":true},{"name":"Daniel J. Klein","is_ca":true},{"name":"David Poole","is_ca":true},{"name":"Hossein Taheri","is_ca":true},{"name":"Gunilla Öberg","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04104666265629382,"gpt":0.4362768066141502,"spread":0.3952301439578564,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01155515,0.002907468,0.001499484,0.0048228,0.001574525,0.005780405,0.00267485,0.002351756,0.05289525],"category_scores_gemma":[0.03635501,0.001127218,0.001954823,0.003832059,0.001412287,0.004241144,0.006490523,0.002459377,0.005724663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001409695,"about_ca_system_score_gemma":0.002004876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406796,"about_ca_topic_score_gemma":0.002105612,"domain_scores_codex":[0.9913538,0.005996023,0.0005184176,0.0006012242,0.001289803,0.0002406368],"domain_scores_gemma":[0.9551477,0.03798822,0.001252199,0.003106826,0.001902471,0.0006026865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001508557,0.000760846,0.003412608,0.003728949,0.0004738459,0.001266003,0.00929825,0.07511169,0.01099942,0.1745843,0.1212381,0.5976174],"study_design_scores_gemma":[0.0006977642,0.0003043046,0.001893349,0.001323792,0.0001235682,0.0005093284,0.00182416,0.4186398,0.007253182,0.3249089,0.2422025,0.0003193693],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004837311,0.0006340554,0.9596755,0.0008879156,0.0003070158,0.0005319455,0.00200314,0.02326409,0.00785901],"genre_scores_gemma":[0.06500753,0.0005440779,0.9252299,0.0002387165,0.0001518017,0.002592216,0.002256774,0.001676974,0.002301945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05289525,"threshold_uncertainty_score":0.1769522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3215039940","doi":"10.1142/s0219622021300020","title":"Application of Multi-Criteria Decision-Making Methods in Sustainable Manufacturing Management: A Systematic Literature Review and Analysis of the Prospects","year":2021,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Analytic hierarchy process; Sustainability; Process (computing); Business; Management science; Supply chain; Systematic review; Process management; Computer science; Environmental economics; Risk analysis (engineering); Marketing; Economics; Operations research; Engineering","authors":[{"name":"Renata Pelissari","is_ca":true},{"name":"Sharfuddin Ahmed Khan","is_ca":false},{"name":"Sarah Ben Amor","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005930971143671864,"gpt":0.3127007550916906,"spread":0.3067697839480187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03819056,0.001730097,0.005100392,0.02329191,0.001075334,0.004547996,0.002107302,0.002075367,0.002238388],"category_scores_gemma":[0.06942752,0.0009808872,0.006737521,0.02470697,0.001562997,0.003813863,0.001721825,0.001715425,0.0002422719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005537446,"about_ca_system_score_gemma":0.02380143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005464862,"about_ca_topic_score_gemma":0.01344591,"domain_scores_codex":[0.9723774,0.0136026,0.006701396,0.001093115,0.005815609,0.0004099409],"domain_scores_gemma":[0.8734748,0.1061595,0.00835735,0.001246245,0.01019935,0.0005626635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001554354,0.0001392724,0.001710606,0.6892002,0.003584277,0.0002896051,0.001335847,0.001531022,0.0003754687,0.003485866,0.001803132,0.2963893],"study_design_scores_gemma":[0.0001441539,0.0004547376,0.004946651,0.916321,0.01497286,0.0005932588,0.002419116,0.001920832,0.0007567747,0.004654123,0.05267432,0.0001421463],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001719803,0.9940426,0.002029658,0.0007412844,0.0001243691,0.0004992954,0.0001441858,0.000007261117,0.0006916694],"genre_scores_gemma":[0.03065373,0.9587244,0.008734971,0.0005228024,0.0001258017,0.000916847,0.0001904045,0.000008488639,0.0001224904],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03819056,"threshold_uncertainty_score":0.2019734,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1995228626","doi":"10.1142/s0219622013500235","title":"BEHAVIORAL DECISION MAKING WITH COMBINED STATES UNDER IMPERFECT INFORMATION","year":2013,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Expected utility hypothesis; Perfect information; Computer science; Altruism (biology); Mathematical economics; Prospect theory; Set (abstract data type); Decision theory; Management science; Economics; Microeconomics; Psychology; Social psychology","authors":[{"name":"Rafik Aziz Aliev","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"O. H. Huseynov","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03096550631684129,"gpt":0.3851580904661996,"spread":0.3541925841493583,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007769412,0.0009244054,0.001596718,0.001234321,0.0007521402,0.003540913,0.001100597,0.001452699,0.001700417],"category_scores_gemma":[0.01495653,0.0005474362,0.001527647,0.001222933,0.002056062,0.003585525,0.002172139,0.001497057,0.0001221273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002269675,"about_ca_system_score_gemma":0.001409501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004041652,"about_ca_topic_score_gemma":0.002257306,"domain_scores_codex":[0.9949936,0.002853171,0.0002345188,0.0006824658,0.0007560324,0.0004802848],"domain_scores_gemma":[0.989336,0.008122442,0.001054283,0.0003860038,0.0007142921,0.0003869913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003979011,0.0001577049,0.005622513,0.0002219756,0.0003473317,0.0005608723,0.0005788998,0.7824582,0.001580527,0.1868528,0.0003703367,0.02085091],"study_design_scores_gemma":[0.0000253935,0.00008623648,0.001234328,0.00002426138,0.0000752145,0.00004015899,0.0001135021,0.9120228,0.0003692815,0.08571385,0.0002603875,0.00003454227],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3524672,0.0005532519,0.6385549,0.0008379701,0.0000519492,0.0001216768,0.0001142698,0.00006918364,0.007229553],"genre_scores_gemma":[0.9684973,0.0002173989,0.03001503,0.00004570748,0.00002617251,0.00009107799,0.00005708397,0.000007568635,0.00104264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007769412,"threshold_uncertainty_score":0.04108906,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2099535302","doi":"10.1142/s0219622004000039","title":"ENABLING TECHNOLOGIES FOR THE CREATION AND RESTRUCTURING PROCESS OF EMERGENT ENTERPRISE ALLIANCES","year":2004,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Restructuring; Alliance; Process (computing); Function (biology); Computer science; Task (project management); Order (exchange); Work (physics); Unit (ring theory); Knowledge management; Process management; Business; Systems engineering; Engineering","authors":[{"name":"Mihaela Ulieru","is_ca":true},{"name":"Rainer Unland","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01270676709123078,"gpt":0.3157241786133156,"spread":0.3030174115220848,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002427325,0.0004447626,0.0003707627,0.001145472,0.001765638,0.00537668,0.001199093,0.001761392,0.004636632],"category_scores_gemma":[0.004645317,0.0004342669,0.0005859542,0.0010793,0.003616062,0.007762372,0.004372081,0.001993756,0.001326504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106408,"about_ca_system_score_gemma":0.001722118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006661028,"about_ca_topic_score_gemma":0.0009347359,"domain_scores_codex":[0.9986142,0.0006400935,0.0001106462,0.0001252005,0.0003728803,0.000137092],"domain_scores_gemma":[0.9983886,0.0007713141,0.0002464464,0.0003044641,0.000123445,0.0001656508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008522667,0.00001263633,0.0001102508,0.00006397947,0.000005322963,0.0002067031,0.0008010919,0.001933074,0.0006211343,0.9735817,0.001096331,0.02155919],"study_design_scores_gemma":[0.00002634525,0.00002571066,0.0001678665,0.0001492461,0.00001555006,0.0003285045,0.0008046555,0.009817475,0.001371256,0.872285,0.1149853,0.00002303359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01945406,0.004186485,0.8523531,0.005657048,0.0003368961,0.0002399956,0.00008884267,0.000578701,0.1171049],"genre_scores_gemma":[0.4742305,0.007356231,0.4947264,0.0005654132,0.0001886292,0.0008019138,0.000176124,0.0000994905,0.02185528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00537668,"threshold_uncertainty_score":0.0155111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992899512","doi":"10.1142/s0219622006001939","title":"ELICITING RATIO PREFERENCES FOR THE ANALYTIC HIERARCHY PROCESS WITH VISUAL INTERFACES: A NEW MODE OF PREFERENCE MEASUREMENT","year":2006,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pairwise comparison; Analytic hierarchy process; Preference; Computer science; Class (philosophy); Hierarchy; Mode (computer interface); Process (computing); Visualization; Artificial intelligence; Human–computer interaction; Machine learning; Statistics; Operations research; Mathematics; Programming language","authors":[{"name":"Sajjad Zahir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09765658181990433,"gpt":0.418218998527923,"spread":0.3205624167080187,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01578471,0.001313974,0.0008876032,0.002472422,0.0004580716,0.003118821,0.00149289,0.001201686,0.005070897],"category_scores_gemma":[0.08042757,0.0004027176,0.0006770912,0.002315552,0.00125513,0.004687679,0.002736808,0.001519578,0.001169828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000534129,"about_ca_system_score_gemma":0.0007901393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000355503,"about_ca_topic_score_gemma":0.0004455587,"domain_scores_codex":[0.9742773,0.01721695,0.001066659,0.001255016,0.00588898,0.0002951516],"domain_scores_gemma":[0.946786,0.04031026,0.00316576,0.00432083,0.004745349,0.0006718383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002473601,0.001140574,0.006274233,0.001828281,0.0002412554,0.0001138373,0.00671698,0.00635324,0.1001738,0.07500484,0.00451884,0.7951605],"study_design_scores_gemma":[0.001980046,0.008542425,0.02648456,0.0009028695,0.0003982023,0.001056712,0.004483974,0.4249992,0.1488561,0.3444901,0.03633786,0.001467984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02858894,0.000091585,0.9656438,0.0001403262,0.0000736753,0.000749281,0.0001960508,0.0006732577,0.003843047],"genre_scores_gemma":[0.1387336,0.0001246636,0.8578774,0.0001093277,0.00004862169,0.002147102,0.0001543646,0.0001081414,0.0006967339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01578471,"threshold_uncertainty_score":0.08347851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092625516","doi":"10.1142/s0219622020500340","title":"Eigensolutions of Partially Reliable Decision Preferences Described by Matrices of <i>Z</i>-Numbers","year":2020,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Eigenvalues and eigenvectors; Statement (logic); Consistency (knowledge bases); Preference; Probabilistic logic; Mathematics; Computer science; Formal concept analysis; Computation; Problem statement; Mathematical optimization; Algebra over a field; Mathematical economics; Discrete mathematics; Algorithm; Artificial intelligence; Pure mathematics; Management science","authors":[{"name":"Rafik Aziz Aliev","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"O. H. Huseynov","is_ca":false},{"name":"Rafig R. Aliyev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05903972683355314,"gpt":0.3776599688988117,"spread":0.3186202420652586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635514,0.001281016,0.0007185343,0.001304708,0.0004403069,0.002082343,0.0005890985,0.0007247608,0.002899076],"category_scores_gemma":[0.003932593,0.0004261916,0.001123284,0.001063266,0.001398549,0.001454215,0.0009583092,0.0009555734,0.0004288892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144588,"about_ca_system_score_gemma":0.0007844749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000950423,"about_ca_topic_score_gemma":0.0007364854,"domain_scores_codex":[0.9988417,0.0004462403,0.00005565305,0.0001969675,0.0003162868,0.0001432369],"domain_scores_gemma":[0.9984514,0.0009098938,0.0003187876,0.00007173956,0.0001918755,0.00005634383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001411802,0.0001026769,0.002189658,0.0003037731,0.0001829913,0.0005717937,0.0007517008,0.5449268,0.01624527,0.3842378,0.00203325,0.04831318],"study_design_scores_gemma":[0.00001506128,0.00008368669,0.000766209,0.00004121091,0.00001395265,0.0001634174,0.0002488659,0.7803286,0.001297284,0.2159415,0.001057291,0.00004289055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04704942,0.0001260129,0.948656,0.000139246,0.00001848361,0.00005322415,0.00009285981,0.00005647217,0.003808331],"genre_scores_gemma":[0.7121902,0.0005776538,0.2816305,0.0001044833,0.00005439952,0.000522567,0.0002858928,0.0000852575,0.004549025],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002899076,"threshold_uncertainty_score":0.009698391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2373927542","doi":"10.1142/s0219622016500267","title":"A Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Automatic Identification of Clusters","year":2016,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Crandall University; National Research Council Canada; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Simulated annealing; Swarm behaviour; Fuzzy logic; Fuzzy clustering; A priori and a posteriori; Robustness (evolution); Algorithm; Rate of convergence; Data mining; Convergence (economics); Artificial intelligence","authors":[{"name":"Si He","is_ca":true},{"name":"Nabil Belacel","is_ca":true},{"name":"Alan Chan","is_ca":true},{"name":"Habib Hamam","is_ca":true},{"name":"Yassine Bouslimani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01361735945580439,"gpt":0.3266986201948819,"spread":0.3130812607390775,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007327638,0.0006397387,0.0007109678,0.0007659745,0.0005328483,0.0005474438,0.001161146,0.0008737914,0.001251078],"category_scores_gemma":[0.00144366,0.0004002318,0.0008209778,0.0006789617,0.0004324107,0.0005929527,0.0006950791,0.0006176605,0.0003871324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005598,"about_ca_system_score_gemma":0.000944466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004867597,"about_ca_topic_score_gemma":0.00592284,"domain_scores_codex":[0.9995911,0.0001132439,0.0000220255,0.00008172299,0.0001660542,0.000025885],"domain_scores_gemma":[0.9996388,0.0001549248,0.00003556834,0.00003806922,0.000115721,0.00001695849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001381704,0.00005471993,0.001233779,0.0001476969,0.0001763523,0.00007402759,0.0001802294,0.7798945,0.0150714,0.01134675,0.002360917,0.1893215],"study_design_scores_gemma":[0.000009363521,0.00001923947,0.0001339019,0.000004760285,0.00000817346,0.00001891586,0.000007970923,0.9960154,0.001317618,0.001099585,0.001357721,0.000007313078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007712593,0.0001200267,0.9905977,0.00005246904,0.0000305814,0.00003536213,0.00001959279,0.0003090531,0.00112269],"genre_scores_gemma":[0.1324994,0.0001248484,0.8646564,0.00006149003,0.00001883071,0.0002293685,0.0001065399,0.0001017011,0.002201385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004867597,"threshold_uncertainty_score":0.009678483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3029651051","doi":"10.1142/s0219622020500224","title":"Improving Human Performance in Dynamic Tasks with Debriefing-Based Interactive Learning Environments: An Empirical Investigation","year":2020,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Debriefing; Heuristics; Task (project management); Computer science; Dynamic decision-making; Process (computing); Knowledge management; Empirical research; Process management; Psychology; Artificial intelligence; Social psychology","authors":[{"name":"Hassan Qudrat‐Ullah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03816234864675358,"gpt":0.3655419122086459,"spread":0.3273795635618924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01257883,0.000777612,0.0005757465,0.0009655397,0.0008103162,0.00117453,0.001399536,0.0007122923,0.002550879],"category_scores_gemma":[0.06201971,0.0003832331,0.0003579021,0.0006361181,0.001114037,0.001499217,0.001374614,0.001195174,0.0005466575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886289,"about_ca_system_score_gemma":0.001034167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248859,"about_ca_topic_score_gemma":0.001616604,"domain_scores_codex":[0.9923005,0.005407971,0.0005162246,0.0006631534,0.0006984282,0.0004137129],"domain_scores_gemma":[0.8785659,0.09709748,0.008135741,0.007215935,0.005809868,0.003175063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01339697,0.1207934,0.3188572,0.002002568,0.0004084648,0.0006443266,0.07915901,0.009610799,0.02960157,0.002072548,0.001861587,0.4215915],"study_design_scores_gemma":[0.003073739,0.08689036,0.7576753,0.000517616,0.0004458377,0.0007288072,0.04257225,0.05284487,0.03961215,0.004904384,0.01021212,0.0005225337],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968185,0.00002056337,0.002388628,0.00002260424,0.000002983722,0.0002880706,0.00003438859,0.00001808729,0.0004060382],"genre_scores_gemma":[0.9889099,0.00006563522,0.00954467,0.00003467079,0.00001107771,0.0006974142,0.0001350429,0.00001051799,0.0005910862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257883,"threshold_uncertainty_score":0.06652403,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2072606883","doi":"10.1142/s021962200600209x","title":"MODEL RISK IN VaR ESTIMATION: AN EMPIRICAL STUDY","year":2006,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Autoregressive conditional heteroskedasticity; Value at risk; EWMA chart; Econometrics; Volatility (finance); Heteroscedasticity; Stock exchange; Autoregressive model; Stock market index; Mathematics; Statistics; Economics; Computer science; Stock market; Risk management","authors":[{"name":"Jing Yao","is_ca":false},{"name":"Zhongfei Li","is_ca":true},{"name":"Kai Wang Ng","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02819777697012986,"gpt":0.3192634793017492,"spread":0.2910657023316193,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01647918,0.0006069075,0.001119862,0.001761288,0.000563617,0.001946558,0.0009906882,0.001216128,0.002063288],"category_scores_gemma":[0.1388292,0.0003682627,0.0008534294,0.002066016,0.001039266,0.004560107,0.001510906,0.002248893,0.0003147736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006287271,"about_ca_system_score_gemma":0.0005792348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001698386,"about_ca_topic_score_gemma":0.00104115,"domain_scores_codex":[0.9912217,0.005799025,0.0003506307,0.0006504738,0.001752725,0.0002255595],"domain_scores_gemma":[0.7623385,0.2217529,0.005706447,0.005457193,0.004282129,0.0004628855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005017053,0.0008553166,0.3179674,0.000672351,0.0007385204,0.001148969,0.001943782,0.3240683,0.001286882,0.1298621,0.004764301,0.2161903],"study_design_scores_gemma":[0.00005007038,0.0003735398,0.03316298,0.0002598493,0.0002117358,0.0009572418,0.0006820275,0.9001204,0.001328822,0.05820428,0.004576647,0.00007235656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7422629,0.008520564,0.2356153,0.002606707,0.0001110622,0.00006763434,0.0001581307,0.0003400552,0.01031764],"genre_scores_gemma":[0.9822981,0.001696675,0.01483595,0.0001178619,0.0001381581,0.00002439308,0.0001881283,0.00007716928,0.0006235734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01647918,"threshold_uncertainty_score":0.08715129,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3134067454","doi":"10.1142/s0219622021500152","title":"Integrated Ranking Algorithm for Efficient Decision Making","year":2021,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Ranking (information retrieval); Multiple-criteria decision analysis; Rank (graph theory); Computer science; TOPSIS; Grey relational analysis; Categorization; Weighted sum model; Selection (genetic algorithm); Data mining; Algorithm; Machine learning; Mathematics; Artificial intelligence; Operations research; Influence diagram; Decision tree; Statistics","authors":[{"name":"N. Deepa","is_ca":false},{"name":"B. Prabadevi","is_ca":false},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04191964726753817,"gpt":0.4027934823133227,"spread":0.3608738350457846,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004863061,0.00185778,0.002994703,0.003763504,0.001112376,0.003152931,0.001845653,0.001515198,0.008108731],"category_scores_gemma":[0.006439152,0.0007977107,0.002081825,0.004403887,0.0007445336,0.002144833,0.002100877,0.001977301,0.002483336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001513864,"about_ca_system_score_gemma":0.002950679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00377762,"about_ca_topic_score_gemma":0.002897766,"domain_scores_codex":[0.9953541,0.002004521,0.0003759601,0.0006202736,0.001360295,0.0002848677],"domain_scores_gemma":[0.9978226,0.001178788,0.0001889286,0.0001539504,0.0005952253,0.0000604814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001205539,0.0001261651,0.000682057,0.0004229713,0.0002350237,0.00009899111,0.0001385824,0.5393718,0.001848564,0.04367201,0.004686169,0.4085971],"study_design_scores_gemma":[0.00003592299,0.00008500712,0.0001670572,0.00004047962,0.00004132136,0.00005050411,0.00003043057,0.9712853,0.0006564781,0.02335392,0.004234015,0.00001950285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001371454,0.0002380749,0.9961944,0.00006516487,0.00002389184,0.00009253055,0.00004972141,0.0003506889,0.001614046],"genre_scores_gemma":[0.07461678,0.0004249862,0.9219849,0.00008310165,0.0000415839,0.0005827425,0.000320338,0.0001031226,0.001842413],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008108731,"threshold_uncertainty_score":0.02712643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1996168828","doi":"10.1142/s0219622002000178","title":"MAKING PUBLIC POLICY DECISIONS USING A WEB-BASED MULTI-CRITERIA ELECTORAL SYSTEM (MCES)","year":2002,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge","funders":"","keywords":"Analytic hierarchy process; Computer science; Voting; Context (archaeology); Process (computing); Hierarchy; Operations research; Economics; Political science; Engineering; Politics","authors":[{"name":"Sajjad Zahir","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06689166376652335,"gpt":0.3486325253589238,"spread":0.2817408615924004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003115186,0.0005671794,0.001237207,0.001217763,0.001290412,0.002959226,0.001098669,0.001861806,0.007385253],"category_scores_gemma":[0.004500755,0.0004364103,0.0007305591,0.001349731,0.0006722067,0.001799514,0.001198636,0.001125638,0.001234614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001170434,"about_ca_system_score_gemma":0.00203551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003514864,"about_ca_topic_score_gemma":0.004616088,"domain_scores_codex":[0.9978649,0.001108362,0.0001853744,0.0002585952,0.0004447434,0.0001380313],"domain_scores_gemma":[0.9966936,0.002016217,0.0002515436,0.0002863151,0.000508199,0.0002440978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004489723,0.0006038495,0.004657935,0.0004058034,0.0002105349,0.0006764303,0.0006594501,0.7577334,0.004947211,0.04500017,0.004768698,0.1798875],"study_design_scores_gemma":[0.00009740814,0.0001452414,0.0007916693,0.00006285797,0.00005070886,0.0001141069,0.0003124263,0.9645841,0.002559875,0.02133214,0.009901676,0.0000477694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08379827,0.0002023227,0.895598,0.001367042,0.00009942326,0.001185204,0.0006631325,0.001656682,0.01542993],"genre_scores_gemma":[0.6218666,0.0001596185,0.3702092,0.0001740665,0.00005699862,0.001123477,0.0005411804,0.00005819697,0.005810539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007385253,"threshold_uncertainty_score":0.02470613,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4295714445","doi":"10.1142/s0219622022500493","title":"Improvement of VIKOR Method With Application to Multi-Objective Design Problems","year":2022,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"VIKOR method; Computer science; Margin (machine learning); Mathematical optimization; Normalization (sociology); Product design; Design methods; Decision maker; Fuzzy logic; Product (mathematics); Operations research; Artificial intelligence; Mathematics; Machine learning; Engineering","authors":[{"name":"Lucas Falch","is_ca":true},{"name":"Clarence W. de Silva","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04886796967818884,"gpt":0.410273599407437,"spread":0.3614056297292482,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004984078,0.002377865,0.002088879,0.002167826,0.0006905493,0.001478008,0.001577722,0.001657163,0.003115629],"category_scores_gemma":[0.007083924,0.000977471,0.002134315,0.001711592,0.0008037461,0.001406873,0.001219397,0.002205564,0.0008301795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008073378,"about_ca_system_score_gemma":0.001517695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607201,"about_ca_topic_score_gemma":0.002071293,"domain_scores_codex":[0.9971528,0.001366876,0.0001883423,0.0002749034,0.0009199522,0.00009714552],"domain_scores_gemma":[0.9963091,0.002532253,0.0002610906,0.0001519285,0.0007029293,0.00004279358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006936926,0.00008144859,0.0004699829,0.0007379318,0.0001301966,0.0001509214,0.0001947163,0.8461993,0.006425319,0.02142486,0.0009138171,0.1232021],"study_design_scores_gemma":[0.00001448862,0.00007615941,0.0001284998,0.00005010547,0.000022321,0.00005745777,0.00001637373,0.9902879,0.001144245,0.005678553,0.002504635,0.00001933212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001817647,0.000368498,0.9957972,0.00005509108,0.00002948948,0.00005303239,0.0000107369,0.00008386443,0.00178446],"genre_scores_gemma":[0.1033124,0.0009245811,0.8925786,0.00009471105,0.00006100036,0.0005316514,0.0000642807,0.0001887559,0.002244058],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004984078,"threshold_uncertainty_score":0.02635866,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061482987","doi":"10.1142/s0219622013500168","title":"MEASURING SENSITIVITY OF PROCUREMENT DECISIONS USING SUPERIORITY AND INFERIORITY RANKING","year":2013,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"TOPSIS; Weighting; Ranking (information retrieval); Computer science; Analytic hierarchy process; Procurement; Multiple-criteria decision analysis; Operations research; Robustness (evolution); Process (computing); Sensitivity (control systems); Risk analysis (engineering); Selection (genetic algorithm); Artificial intelligence; Engineering; Economics; Business","authors":[{"name":"Mohamed Marzouk","is_ca":false},{"name":"NOHA EL SHINNAWY","is_ca":false},{"name":"Osama Moselhi","is_ca":true},{"name":"Moheeb El-Said","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.106275335355945,"gpt":0.3906927663547647,"spread":0.2844174309988198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0408951,0.001595769,0.001941932,0.01210082,0.001151752,0.004463432,0.001184879,0.001263263,0.00342832],"category_scores_gemma":[0.09728901,0.0005484502,0.002623762,0.006991354,0.00185919,0.003671228,0.002861582,0.001414441,0.0003586115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553032,"about_ca_system_score_gemma":0.002110232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965401,"about_ca_topic_score_gemma":0.00163416,"domain_scores_codex":[0.9478837,0.02414344,0.004521871,0.002917979,0.01901748,0.001515471],"domain_scores_gemma":[0.8635548,0.1045815,0.0150448,0.006033144,0.009970469,0.000815238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00136615,0.0008665103,0.1555371,0.00196396,0.002789246,0.001186364,0.002673112,0.5140967,0.01220889,0.03631386,0.001897351,0.2691007],"study_design_scores_gemma":[0.000129121,0.003085487,0.1025895,0.0004622009,0.001113969,0.001312802,0.004401683,0.7820452,0.01917788,0.07894697,0.006057821,0.0006772901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5590381,0.001182096,0.4095075,0.0005962526,0.0001902297,0.001611649,0.0007075062,0.0003485306,0.02681817],"genre_scores_gemma":[0.9289007,0.0003510615,0.06939766,0.00007370063,0.00004035955,0.0003481121,0.0002688468,0.00002583501,0.0005937634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0408951,"threshold_uncertainty_score":0.2162766,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2150932684","doi":"10.1142/s0219622013500284","title":"FROM ADAPTATION-GUIDED RETRIEVAL TO REUSE-GUIDED RETRIEVAL: APPLICATION TO CASE RETRIEVAL NET MEMORY MODEL","year":2013,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; University of Texas at San Antonio","keywords":"Computer science; Reuse; Information retrieval; Adaptation (eye); Adaptability; Inference; Document retrieval; Similarity (geometry); Case-based reasoning; Data retrieval; Data mining; Artificial intelligence","authors":[{"name":"Nabila Nouaouria","is_ca":true},{"name":"Mounir Boukadoum","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02226266929682549,"gpt":0.3072882632174803,"spread":0.2850255939206549,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537272,0.000458525,0.000703073,0.001286309,0.0004598101,0.001661493,0.002390293,0.001046948,0.004883568],"category_scores_gemma":[0.005797006,0.0003236777,0.0006749549,0.001474795,0.001058326,0.003702472,0.00125729,0.0009127611,0.0006275899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729749,"about_ca_system_score_gemma":0.00103015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007117175,"about_ca_topic_score_gemma":0.005324649,"domain_scores_codex":[0.9994006,0.0001806776,0.00005507703,0.0001284732,0.0001905365,0.00004469587],"domain_scores_gemma":[0.9984134,0.0008854106,0.0001468739,0.0002595537,0.000216257,0.0000784299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003301376,0.0002374398,0.002606297,0.0002277464,0.0001206206,0.0003383347,0.0004318992,0.4548188,0.002922214,0.178172,0.003600724,0.3561938],"study_design_scores_gemma":[0.00001846562,0.00004385851,0.0002456555,0.00001410918,0.00002746619,0.0001037293,0.00002709099,0.9533547,0.0009820318,0.0434605,0.001708826,0.00001358234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02879832,0.0005651659,0.9627877,0.0006704049,0.00004122072,0.0002035108,0.0001345628,0.0006295799,0.006169481],"genre_scores_gemma":[0.6099049,0.0007701898,0.3811865,0.0002502638,0.0000656582,0.0003778844,0.0003275258,0.00007987757,0.007037178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007117175,"threshold_uncertainty_score":0.01633716,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2561419563","doi":"10.1142/s0219622017500079","title":"A Hybrid of Genetic Algorithm and Evidential Reasoning for Optimal Design of Project Scheduling: A Systematic Negotiation Framework for Multiple Decision-Makers","year":2016,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Negotiation; Rationality; Scheduling (production processes); Operations research; Schedule; Benchmark (surveying); Management science; Mathematical optimization; Economics; Mathematics","authors":[{"name":"Shahryar Monghasemi","is_ca":false},{"name":"Mohammad Reza Nikoo","is_ca":false},{"name":"Mohammad Ali Khaksar Fasaee","is_ca":false},{"name":"Jan Adamowski","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05196861853259304,"gpt":0.3975311141671107,"spread":0.3455624956345177,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003744856,0.001042032,0.001249748,0.001276097,0.0007119492,0.001392649,0.002110877,0.001554369,0.001775569],"category_scores_gemma":[0.004224063,0.0006392365,0.001408471,0.001088172,0.001357818,0.001575603,0.001418698,0.001503483,0.0002298878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211125,"about_ca_system_score_gemma":0.003139602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004405713,"about_ca_topic_score_gemma":0.00428755,"domain_scores_codex":[0.9982848,0.0009238168,0.00007811749,0.0001815164,0.0004337804,0.00009800633],"domain_scores_gemma":[0.9986444,0.0009505518,0.0001119431,0.00007817322,0.0001708584,0.0000440964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000265354,0.00004929682,0.0002098067,0.00006679083,0.00004529554,0.00006820052,0.0001263393,0.9126823,0.0009884539,0.05344518,0.0003042984,0.03198751],"study_design_scores_gemma":[0.0000123221,0.00002325361,0.00002070119,0.00001048999,0.000009096871,0.00001115147,0.000009645751,0.9866274,0.0001701208,0.01267748,0.0004224346,0.000005928673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002305673,0.00004483517,0.9966271,0.00007253028,0.000008269788,0.00003686932,0.000005423713,0.00003752905,0.0008618118],"genre_scores_gemma":[0.1987622,0.0001586038,0.7994702,0.00008497144,0.00002960159,0.0003529814,0.00003724858,0.00002889616,0.00107527],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004405713,"threshold_uncertainty_score":0.01980495,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2193486152","doi":"10.1142/s0219622015500388","title":"Solving Dynamic Multi-Criteria Resource-Target Allocation Problem Under Uncertainty: A Comparison of Decomposition and Myopic Approaches","year":2015,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Military Defense Systems Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Defence Research and Development Canada; University of Victoria; Université du Québec à Rimouski","funders":"","keywords":"Computer science; Decomposition; Multiple-criteria decision analysis; Context (archaeology); Operations research; Compromise; Resource allocation; Metric (unit); Mathematical optimization; Survivability; Resource (disambiguation); Decision tree; Flexibility (engineering); Data mining; Operations management; Mathematics; Engineering","authors":[{"name":"Anissa Frini","is_ca":true},{"name":"Adel Guitouni","is_ca":true},{"name":"Abderrezak Benaskeur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02510176443355526,"gpt":0.3104506412298646,"spread":0.2853488767963093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006015391,0.001147919,0.00133873,0.001317703,0.0004409187,0.001659678,0.001016933,0.001027026,0.001482023],"category_scores_gemma":[0.007448056,0.000526126,0.001193055,0.001434926,0.0006555323,0.001150985,0.001186585,0.001053948,0.0001570413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001251574,"about_ca_system_score_gemma":0.002308001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003312734,"about_ca_topic_score_gemma":0.002508136,"domain_scores_codex":[0.9967256,0.002077679,0.0001216492,0.000229687,0.0006404226,0.0002049076],"domain_scores_gemma":[0.9949225,0.004098238,0.0002910814,0.0001601495,0.0003668752,0.000161265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001142883,0.00009900166,0.0006484182,0.0003066664,0.0001506369,0.00005454293,0.0001663021,0.9295408,0.000809322,0.01987542,0.0003761976,0.04785838],"study_design_scores_gemma":[0.00001510915,0.00008306483,0.0002115442,0.00004251111,0.000030749,0.00002576681,0.00005988216,0.989024,0.0002646724,0.009720311,0.0005137973,0.000008538396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02191623,0.001041692,0.9724397,0.0002342816,0.00002838818,0.00009964653,0.00003301026,0.00006206862,0.00414495],"genre_scores_gemma":[0.6242155,0.001623919,0.3717731,0.0001552839,0.00005606873,0.0003380564,0.0001218176,0.00005837218,0.001657825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006015391,"threshold_uncertainty_score":0.03181279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2165134748","doi":"10.1142/s0219622015500029","title":"An Innovative Fuzzy-Neural Decision Analyzer for Qualitative Group Decision Making","year":2015,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Weighting; Group decision-making; Artificial intelligence; Computer science; Variance (accounting); Decision field theory; Management science; Fuzzy logic; Cognition; Machine learning; Decision engineering; Group (periodic table); Process (computing); Business decision mapping; Knowledge management; Decision support system; Psychology; Social psychology; Engineering; Economics","authors":[{"name":"Ki‐Young Song","is_ca":false},{"name":"Gerald T. G. Seniuk","is_ca":true},{"name":"Janusz A. Koziński","is_ca":true},{"name":"Madan M. Gupta","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1167932036771711,"gpt":0.5013667480096065,"spread":0.3845735443324353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003914946,0.0007784201,0.0007642891,0.001776929,0.000813596,0.001624602,0.00104441,0.0009572114,0.005017397],"category_scores_gemma":[0.007530882,0.0002698535,0.0006085481,0.001494449,0.0005545272,0.00194563,0.001096674,0.0009109826,0.0006876821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182258,"about_ca_system_score_gemma":0.001551001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496314,"about_ca_topic_score_gemma":0.00355672,"domain_scores_codex":[0.9983342,0.00064684,0.0001249829,0.0002106681,0.0006014705,0.00008183325],"domain_scores_gemma":[0.9978745,0.001224888,0.0001480089,0.00009823943,0.0005738232,0.0000805942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001262232,0.0005451934,0.003955101,0.0004938189,0.0002064933,0.0003399273,0.0006638212,0.2754473,0.02157112,0.08878919,0.005331454,0.6013944],"study_design_scores_gemma":[0.00003487543,0.00007149902,0.0003932895,0.00002254524,0.00003021771,0.00005359515,0.00004021801,0.9801769,0.004331787,0.0130238,0.001800228,0.00002090044],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01343976,0.00007155116,0.9828535,0.0001127408,0.00003222669,0.0001666926,0.0001058694,0.0007144606,0.002503198],"genre_scores_gemma":[0.238876,0.00009592952,0.7586603,0.0001392752,0.00002789528,0.0003357513,0.000167105,0.00005462392,0.001643062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005017397,"threshold_uncertainty_score":0.02070451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1867270225","doi":"10.1142/s0219622015500194","title":"Modeling Tag-Aware Recommendations Based on User Preferences","year":2015,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Recommender system; Computer science; Popularity; Similarity (geometry); Information retrieval; Relation (database); World Wide Web; Data mining; Artificial intelligence","authors":[{"name":"Jiajin Hunag","is_ca":false},{"name":"Xi Yuan","is_ca":false},{"name":"Ning Zhong","is_ca":false},{"name":"Yiyu Yao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04210268528459719,"gpt":0.3354173869547105,"spread":0.2933147016701133,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001994771,0.0007059103,0.0009122256,0.001105209,0.0004390544,0.001796365,0.001642171,0.001450656,0.001688618],"category_scores_gemma":[0.006681119,0.0006770022,0.0009368017,0.001898632,0.0004368642,0.002721828,0.000766543,0.001140607,0.0006691524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009202588,"about_ca_system_score_gemma":0.0007577239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764276,"about_ca_topic_score_gemma":0.0242955,"domain_scores_codex":[0.9985366,0.0005699807,0.0001072119,0.0003436011,0.0003124531,0.0001301356],"domain_scores_gemma":[0.9967276,0.002004262,0.0003277588,0.0002935387,0.0005220426,0.0001247489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000287666,0.0002107966,0.01560452,0.0002064927,0.0003115013,0.0005148186,0.0006612943,0.8782277,0.003556259,0.04354882,0.002521432,0.05434866],"study_design_scores_gemma":[0.000009304123,0.00002743047,0.000690625,0.000008110513,0.00002893055,0.00004089549,0.00003016302,0.9910998,0.0001908251,0.007285646,0.000577447,0.00001082398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1629857,0.00125874,0.8273026,0.0008505029,0.0001014983,0.000177496,0.0007944175,0.0004389351,0.006090052],"genre_scores_gemma":[0.8898472,0.001047713,0.1022862,0.0001304006,0.0001011818,0.0001793877,0.0006088382,0.00005745843,0.005741688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01764276,"threshold_uncertainty_score":0.03508013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115562146","doi":"10.1142/s0219622003000550","title":"SELECTION OF SUPPLIERS CONSIDERING THE LEARNING EFFECT AND TECHNOLOGY IMPROVEMENT","year":2003,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University; Lakehead University","funders":"","keywords":"Computer science; Selection (genetic algorithm); Learning effect; Constant (computer programming); Industrial organization; Risk analysis (engineering); Operations research; Microeconomics; Economics; Artificial intelligence; Business; Engineering","authors":[{"name":"Wanzhen Huang","is_ca":true},{"name":"Shanling Li","is_ca":true},{"name":"Devanath Tirupati","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005642954173696579,"gpt":0.2426557222926437,"spread":0.2370127681189471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00222624,0.0005379689,0.0009874301,0.0006968204,0.0009213542,0.00215596,0.001065633,0.002022207,0.007186388],"category_scores_gemma":[0.0103672,0.0005253477,0.0005671432,0.001065935,0.0006536801,0.003155282,0.001165622,0.000874691,0.0004365025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608969,"about_ca_system_score_gemma":0.002182534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002667831,"about_ca_topic_score_gemma":0.003369743,"domain_scores_codex":[0.9981774,0.0008646503,0.00004601221,0.0002094402,0.0003836308,0.0003188436],"domain_scores_gemma":[0.9950629,0.003481417,0.0005612499,0.0002064448,0.000420732,0.0002672584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004439753,0.0002144096,0.01205683,0.0002397823,0.00009648546,0.001530216,0.0004939972,0.762768,0.004269842,0.1478664,0.001827259,0.06819278],"study_design_scores_gemma":[0.0001720535,0.0004378879,0.003831665,0.00007085832,0.0001055093,0.0004175722,0.0007477378,0.8812796,0.002816774,0.1042838,0.005753867,0.00008257768],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5311938,0.001157447,0.4095488,0.003388707,0.00006078989,0.0003212653,0.0001449257,0.0001166259,0.0540676],"genre_scores_gemma":[0.9798337,0.0004285512,0.01404267,0.0001036404,0.00003478152,0.00005461297,0.00003200889,0.00001170521,0.00545833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007186388,"threshold_uncertainty_score":0.02404082,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3042599237","doi":"10.1142/s0219622020500273","title":"An Invasive Weed Optimization-Based Fuzzy Decision-making Framework for Bridge Intervention Prioritization in Element and Network Levels","year":2020,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Weighting; Computer science; Fuzzy logic; Bridge (graph theory); Operations research; Genetic algorithm; Tardiness; Bridge maintenance; Mathematical optimization; Artificial intelligence; Engineering; Machine learning; Deck; Mathematics; Routing (electronic design automation)","authors":[{"name":"Eslam Mohammed Abdelkader","is_ca":true},{"name":"Mohamed Marzouk","is_ca":false},{"name":"Tarek Zayed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009413240744325509,"gpt":0.2906676684817182,"spread":0.2812544277373927,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002352947,0.00103703,0.001033149,0.000992535,0.0005822154,0.001790363,0.001489966,0.00119032,0.002129814],"category_scores_gemma":[0.002072419,0.0004973462,0.001175104,0.000774154,0.0009242161,0.001091299,0.001032523,0.001360815,0.0001763153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874699,"about_ca_system_score_gemma":0.002318745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282995,"about_ca_topic_score_gemma":0.00820213,"domain_scores_codex":[0.9989167,0.0003836279,0.00005312182,0.0002279354,0.000282356,0.0001362095],"domain_scores_gemma":[0.99925,0.0003766568,0.0001109291,0.00002394095,0.0001921899,0.00004635285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002546602,0.00002566463,0.0002887086,0.00003553306,0.00003045617,0.0000626863,0.00006629623,0.9727684,0.0008516,0.01634007,0.0002104729,0.009294683],"study_design_scores_gemma":[0.000003796192,0.00001822937,0.000055452,0.000004384492,0.000007483123,0.000004306024,0.000009604525,0.9959,0.0001237759,0.003731442,0.0001376758,0.000003926232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01395611,0.0001516625,0.9823313,0.0001571676,0.00002187218,0.00005614764,0.00004465637,0.00006117934,0.003220057],"genre_scores_gemma":[0.8128721,0.0003071089,0.1837173,0.0001034138,0.00004700093,0.000273614,0.000117536,0.00002302272,0.00253895],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01282995,"threshold_uncertainty_score":0.02551055,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097807244","doi":"10.1142/s021962201240007x","title":"TOP-10 DATA MINING CASE STUDIES","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Simon Fraser University","funders":"National Science Foundation","keywords":"Snapshot (computer storage); Computer science; Knowledge extraction; Data science; Unstructured data; Data mining; Domain knowledge; Information extraction; Big data; Knowledge management; Artificial intelligence; Database","authors":[{"name":"Gabor Melli","is_ca":false},{"name":"Xindong Wu","is_ca":false},{"name":"P. Beinat","is_ca":false},{"name":"Francesco Bonchi","is_ca":false},{"name":"Longbing Cao","is_ca":false},{"name":"Rong Duan","is_ca":false},{"name":"Christos Faloutsos","is_ca":false},{"name":"Rayid Ghani","is_ca":false},{"name":"Brendan Kitts","is_ca":false},{"name":"Bart Goethals","is_ca":false},{"name":"Geoffrey J. McLachlan","is_ca":false},{"name":"Jian Pei","is_ca":true},{"name":"Ashok N. Srivastava","is_ca":false},{"name":"Osmar R. Zai͏̈ane","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05060423209022588,"gpt":0.3886701024250078,"spread":0.3380658703347819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009735806,0.0008142797,0.0008288366,0.004797591,0.004251057,0.004097613,0.003071095,0.003347982,0.004922184],"category_scores_gemma":[0.0231315,0.0004326907,0.001965332,0.01318725,0.0012211,0.002381654,0.002676862,0.002260797,0.001489843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002677751,"about_ca_system_score_gemma":0.003048586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00878968,"about_ca_topic_score_gemma":0.02192857,"domain_scores_codex":[0.9891086,0.003561952,0.001031458,0.000744798,0.0044667,0.001086518],"domain_scores_gemma":[0.9771533,0.01443659,0.0009596796,0.00177021,0.004514548,0.001165675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001752859,0.003193028,0.177031,0.007417699,0.0007377849,0.03649433,0.005339119,0.03713747,0.006867841,0.06172264,0.2529758,0.4093304],"study_design_scores_gemma":[0.0005971866,0.001345516,0.05943613,0.00213129,0.0005557252,0.03361019,0.01805509,0.08173946,0.03190513,0.04752261,0.7228023,0.0002993744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6680017,0.02290861,0.1417299,0.0364695,0.001910248,0.004504498,0.03857214,0.002112773,0.0837907],"genre_scores_gemma":[0.6967524,0.009779167,0.2363365,0.004015537,0.0003892597,0.001911345,0.03496299,0.0002827849,0.01556987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009735806,"threshold_uncertainty_score":0.05148846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280561258","doi":"10.1142/s0219622022500171","title":"A Hybrid Data-Driven Approach for Forecasting the Characteristics of Production Disruptions and Interruptions","year":2022,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtime; Production (economics); Automotive industry; Computer science; Range (aeronautics); Scheduling (production processes); Reliability engineering; Industrial engineering; Operations research; Engineering; Operations management; Economics","authors":[{"name":"Mohammad Reza Bazargan-Lari","is_ca":true},{"name":"Sharareh Taghipour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02925659393787457,"gpt":0.2866173867163455,"spread":0.2573607927784709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007216653,0.0008142401,0.0008188581,0.00140323,0.0002265415,0.0006989734,0.0009002275,0.0006628035,0.000474261],"category_scores_gemma":[0.001603567,0.0004708888,0.0007750368,0.001118477,0.000157089,0.0006744993,0.0003598433,0.0006008822,0.0001352192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005494873,"about_ca_system_score_gemma":0.0006553798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01378672,"about_ca_topic_score_gemma":0.01218434,"domain_scores_codex":[0.9997223,0.00005169759,0.0000250638,0.00008314191,0.0000774229,0.00004030104],"domain_scores_gemma":[0.9991764,0.0004544396,0.0001205062,0.00004402125,0.000162944,0.00004156282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006538525,0.00005670658,0.00235366,0.00003740028,0.0000481803,0.0000489026,0.00001522149,0.9714784,0.001131228,0.0003817684,0.0002292341,0.02415401],"study_design_scores_gemma":[0.000001842603,0.00001182707,0.0003968076,0.000002123121,0.000004490959,0.000005256951,0.00000341476,0.9991162,0.0001733822,0.0002135865,0.00006774,0.000003239288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.167995,0.0005740991,0.8272352,0.0002179461,0.00008635977,0.0001031738,0.001366713,0.001063259,0.001358368],"genre_scores_gemma":[0.9091802,0.0002168352,0.08853181,0.00004651527,0.00003903054,0.0001238681,0.001164119,0.00002815128,0.000669594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01378672,"threshold_uncertainty_score":0.02741295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1978814183","doi":"10.1142/s0219622004001264","title":"PROPOSITIONS OF FIVE EQUILIBRIA EXAMPLES FOR 3×2 CES/LES PURE EXCHANGE ECONOMIES","year":2004,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Central China Normal University; National Natural Science Foundation of China","keywords":"Jump; Range (aeronautics); Parameter space; Economics; Exchange economy; Mathematics; Mathematical economics; Economy; Physics; Statistics; Materials science","authors":[{"name":"Hui Huang","is_ca":true},{"name":"Shunming Zhang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02184544047477613,"gpt":0.2686252926944972,"spread":0.2467798522197211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000766418,0.0004152995,0.0005671919,0.001280412,0.001086073,0.00154602,0.0005914681,0.001203596,0.01297916],"category_scores_gemma":[0.002911024,0.0002750742,0.001002356,0.0009063917,0.001200901,0.001121854,0.001081638,0.000646927,0.000408391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264937,"about_ca_system_score_gemma":0.0003026146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001778617,"about_ca_topic_score_gemma":0.001480952,"domain_scores_codex":[0.9997218,0.0001183178,0.0000193958,0.0000297706,0.00004822426,0.00006232635],"domain_scores_gemma":[0.9990762,0.0005377217,0.0001319123,0.00008263443,0.00008902149,0.00008250528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003492863,0.0001132886,0.004749042,0.0001899598,0.00007048162,0.001075471,0.0005490464,0.2874187,0.001779254,0.6907226,0.003087575,0.009895209],"study_design_scores_gemma":[0.0001801719,0.00007360352,0.002629165,0.00005766093,0.000041701,0.0004278576,0.0006346639,0.7247161,0.001674569,0.2654106,0.004103531,0.0000504306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8814514,0.0006579813,0.06766921,0.0007369318,0.00004854752,0.00008122152,0.0005810348,0.0002582574,0.04851539],"genre_scores_gemma":[0.9833022,0.000101231,0.01442282,0.00003566096,0.000004338234,0.00005077598,0.0001382018,0.00001885869,0.001925872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297916,"threshold_uncertainty_score":0.0434196,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884068905","doi":"10.1142/s0219622018500487","title":"IMPROMPTU: A Reactive and Distributed Resource Consolidation Manager for Clouds","year":2018,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Impromptu; Computer science; Multiple-criteria decision analysis; Cloud computing; Consolidation (business); Distributed computing; Operations research; Engineering; Business","authors":[{"name":"Yağız Onat Yazır","is_ca":true},{"name":"Adel Guitouni","is_ca":true},{"name":"Stephen W. Neville","is_ca":true},{"name":"Roozbeh Farahbod","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008270884049840672,"gpt":0.2818239421525103,"spread":0.2735530581026697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312606,0.000615234,0.0007470509,0.0005838539,0.0007881582,0.001422673,0.002504741,0.0007171155,0.003146254],"category_scores_gemma":[0.002070535,0.0004026343,0.0004526243,0.000550449,0.0005142802,0.001766445,0.002295682,0.001393053,0.0006917291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007527375,"about_ca_system_score_gemma":0.001781564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002133181,"about_ca_topic_score_gemma":0.002756709,"domain_scores_codex":[0.9991871,0.0001920964,0.00005458586,0.0001422525,0.0002757575,0.0001483209],"domain_scores_gemma":[0.9991599,0.0002005223,0.0001079146,0.0001920808,0.000132301,0.0002071915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001195946,0.0008288925,0.005123036,0.0006192366,0.0002644478,0.0008544731,0.0006949521,0.306971,0.04574376,0.05138978,0.04497805,0.5413364],"study_design_scores_gemma":[0.0001080945,0.0001879436,0.0006464384,0.00003094389,0.00004175898,0.0001739582,0.0000985524,0.9538602,0.00897184,0.007195758,0.02864422,0.00004023895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02622702,0.0009254807,0.9500261,0.0006018199,0.0002635379,0.000530928,0.0001812116,0.01358549,0.007658363],"genre_scores_gemma":[0.5027624,0.0004994027,0.4900637,0.0005710765,0.0001388367,0.0004056477,0.0004849567,0.0004308753,0.00464318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003146254,"threshold_uncertainty_score":0.01052529,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3169626734","doi":"10.1142/s0219622021500425","title":"A Grey Wolf Optimization-Based Method for Segmentation and Evaluation of Scaling in Reinforced Concrete Bridges","year":2021,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Scaling; Segmentation; Artificial neural network; Artificial intelligence; Pattern recognition (psychology); Data mining; Algorithm; Mathematics","authors":[{"name":"Eslam Mohammed Abdelkader","is_ca":true},{"name":"Osama Moselhi","is_ca":true},{"name":"Mohamed Marzouk","is_ca":false},{"name":"Tarek Zayed","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01012577909231719,"gpt":0.3176952331077206,"spread":0.3075694540154034,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008222883,0.0005622035,0.0006472801,0.0008184817,0.0002034256,0.0006354341,0.000541592,0.0007236431,0.0008349582],"category_scores_gemma":[0.001124218,0.0003164345,0.0006241269,0.000524942,0.0003768343,0.0006219015,0.0004954746,0.0004475498,0.0001996716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004417436,"about_ca_system_score_gemma":0.000630363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168986,"about_ca_topic_score_gemma":0.002451859,"domain_scores_codex":[0.9996996,0.000061149,0.00001986092,0.00008624665,0.0001021571,0.00003100355],"domain_scores_gemma":[0.9997389,0.0001043449,0.00004138393,0.00002063506,0.00008169736,0.00001302239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001482802,0.00007586628,0.001820617,0.000109636,0.00006506532,0.0001026251,0.0001390405,0.6695312,0.03256749,0.004037479,0.0008081864,0.2905946],"study_design_scores_gemma":[0.00000155182,0.00001645164,0.0002862611,0.000002954176,0.00000428998,0.000009777642,0.000003894926,0.997371,0.001911572,0.0002645542,0.0001244227,0.000003283625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02789781,0.0001886224,0.9704525,0.00004526375,0.00001584351,0.00003660582,0.00001764802,0.0003375264,0.001008132],"genre_scores_gemma":[0.6560633,0.0003015393,0.3400922,0.00008010719,0.00002569969,0.0001195129,0.0001328387,0.00009066364,0.003094149],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003168986,"threshold_uncertainty_score":0.006301105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2157400663","doi":"10.1142/s0219622014500886","title":"Choice Manipulation Through Comparability in Markets with Verifiable Multi-Attribute Products","year":2014,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Verifiable secret sharing; Communication source; Computer science; Reputation; Set (abstract data type); Comparability; Order (exchange); Normative; Unobservable; Microeconomics; Business; Economics; Econometrics; Telecommunications; Mathematics","authors":[{"name":"Debora Di Caprio","is_ca":true},{"name":"Francisco J. Santos‐Arteaga","is_ca":false},{"name":"Madjid Tavana","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06081218279697347,"gpt":0.3889951263887927,"spread":0.3281829435918192,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00910872,0.0007481178,0.001052122,0.0008817419,0.0009270934,0.003808771,0.001696936,0.002153534,0.005099426],"category_scores_gemma":[0.03658629,0.0006260886,0.001183846,0.0007991082,0.004566775,0.008168443,0.003232713,0.002171937,0.0004351452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479599,"about_ca_system_score_gemma":0.001056564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004543384,"about_ca_topic_score_gemma":0.0002923721,"domain_scores_codex":[0.9907465,0.00485604,0.0004861053,0.001549916,0.001782887,0.0005785179],"domain_scores_gemma":[0.9491291,0.03204965,0.01022707,0.006317149,0.00136097,0.0009160019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001186768,0.0004773278,0.003550335,0.0002151943,0.0001148767,0.0006554695,0.0009413877,0.05283548,0.02165817,0.888488,0.0003460787,0.02953082],"study_design_scores_gemma":[0.0002264967,0.0008435009,0.001873468,0.00003688121,0.00007671458,0.0002655478,0.0002410977,0.2717375,0.01384121,0.7087096,0.002061118,0.00008688086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4620716,0.0001925971,0.5103258,0.001163024,0.00005313916,0.0002113761,0.0001486338,0.0002741652,0.02555973],"genre_scores_gemma":[0.9641474,0.00005773141,0.034416,0.00006499217,0.00002549209,0.00008323923,0.00002924988,0.00001855012,0.001157403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00910872,"threshold_uncertainty_score":0.04817212,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1972980769","doi":"10.1142/s0219622012500319","title":"LOCAL PECULIARITY ORIENTED DATA MINING AND ITS APPLICATION IN OUTLIER DETECTION","year":2012,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Data mining; Computer science; Identification (biology); Outlier; Benchmark (surveying); Anomaly detection; Property (philosophy); Local outlier factor; Distribution (mathematics); Artificial intelligence; Mathematics; Geology","authors":[{"name":"Jian Yang","is_ca":false},{"name":"Ning Zhong","is_ca":false},{"name":"Yiyu Yao","is_ca":true},{"name":"Jue Wang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01909443280313444,"gpt":0.306252525583658,"spread":0.2871580927805235,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003307252,0.0009066319,0.001970071,0.005305336,0.0008538158,0.001505251,0.001263831,0.0009462648,0.0006879102],"category_scores_gemma":[0.01012145,0.0004185506,0.001599089,0.007109315,0.001388668,0.002431877,0.00150583,0.001205247,0.0002797652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006548329,"about_ca_system_score_gemma":0.0006900794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367515,"about_ca_topic_score_gemma":0.0009833444,"domain_scores_codex":[0.9978447,0.0005760365,0.0002316887,0.0005461566,0.000658637,0.0001427153],"domain_scores_gemma":[0.9935325,0.003483698,0.001126518,0.0007704616,0.0008851264,0.0002017018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003391869,0.0001902883,0.04964716,0.0006880181,0.0004240212,0.001274761,0.000821818,0.2216682,0.01420015,0.05563973,0.00297402,0.6521326],"study_design_scores_gemma":[0.00001512523,0.0001257591,0.00557232,0.00004172094,0.00006290081,0.000768016,0.0001845847,0.9295855,0.005437704,0.05532882,0.002816147,0.00006145766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02042188,0.0004400512,0.9778689,0.0001486491,0.00001785375,0.00004653737,0.0001305534,0.0004661134,0.0004594572],"genre_scores_gemma":[0.5259104,0.0009987793,0.4713515,0.0001240954,0.0001190782,0.0001722926,0.0006702562,0.00009595114,0.0005577],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005305336,"threshold_uncertainty_score":0.01749063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990444741","doi":"10.1142/s0219622013500119","title":"GRAPH BISECTION MODELED AS CARDINALITY CONSTRAINED BINARY QUADRATIC TASK ALLOCATION","year":2013,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Graph partition; Mathematics; Combinatorics; Mathematical optimization; Graph; Computer science","authors":[{"name":"Mark Lewis","is_ca":false},{"name":"Gary Kochenberger","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006764768802241577,"gpt":0.2577890321636219,"spread":0.2510242633613803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009409614,0.001032274,0.0009564902,0.0006445499,0.0006014202,0.001059112,0.001618981,0.0009662671,0.006026163],"category_scores_gemma":[0.002691128,0.0004920193,0.0007426813,0.00161038,0.0007433397,0.002059686,0.001022148,0.001550601,0.0006709219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323104,"about_ca_system_score_gemma":0.001304723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00475958,"about_ca_topic_score_gemma":0.005036145,"domain_scores_codex":[0.9989372,0.000396601,0.0000355585,0.0002274245,0.0002608378,0.0001423549],"domain_scores_gemma":[0.9987916,0.0006412218,0.0001635596,0.0001510434,0.0001658098,0.00008665667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007171909,0.00005998564,0.0001833084,0.00007648683,0.0000180879,0.00007070234,0.00004331776,0.9536661,0.001384836,0.02421055,0.001809782,0.01840505],"study_design_scores_gemma":[0.00001248104,0.00002952564,0.00007275998,0.000005200995,0.00000423654,0.0000342738,0.00001182808,0.9847986,0.0004210354,0.01342098,0.001184547,0.00000448509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03218329,0.0001872308,0.9594668,0.0002797016,0.00005202489,0.0001107095,0.0002166076,0.0003985379,0.007105019],"genre_scores_gemma":[0.5953995,0.0004279041,0.3902992,0.0002466582,0.00005474441,0.0004527359,0.0007853372,0.0003821235,0.01195183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006026163,"threshold_uncertainty_score":0.02015948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1982513284","doi":"10.1142/s0219622002000282","title":"A STUDY ON TELE-COLLABORATIVE PRODUCT DEVELOPMENT","year":2002,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Whiteboard; New product development; Product (mathematics); Protocol (science); Process (computing); Service (business); Construct (python library); Operating system; World Wide Web; Computer network; Business","authors":[{"name":"JUNYING SHEN","is_ca":false},{"name":"Weiming Shen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02872688727521608,"gpt":0.3072251394215644,"spread":0.2784982521463483,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815633,0.0002110253,0.0002218794,0.001110017,0.003882964,0.003962675,0.0007131104,0.001089149,0.01018058],"category_scores_gemma":[0.008734201,0.0001721219,0.0002431716,0.001719555,0.002222646,0.003860704,0.001229477,0.001520549,0.0009830231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239935,"about_ca_system_score_gemma":0.002156432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005670053,"about_ca_topic_score_gemma":0.00665528,"domain_scores_codex":[0.9970585,0.001766091,0.00008597451,0.0002506447,0.0005373418,0.0003015042],"domain_scores_gemma":[0.9923339,0.004748174,0.0005877721,0.0003431196,0.001090792,0.0008962273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000160203,0.002136289,0.04617568,0.0004784472,0.00001609077,0.005114394,0.7511474,0.000231898,0.001941871,0.07193431,0.008882264,0.1117813],"study_design_scores_gemma":[0.00002855318,0.0004819526,0.03074997,0.0003623776,0.00001698442,0.002537021,0.6405007,0.0008396246,0.001712283,0.003348533,0.3193901,0.0000318769],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8669556,0.001363376,0.002204176,0.002714969,0.00009460077,0.0001120873,0.00002928874,0.00001185732,0.1265141],"genre_scores_gemma":[0.9719345,0.0016243,0.0007620641,0.0006873657,0.00002516858,0.00004430712,0.00002366246,0.0000155125,0.02488324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018058,"threshold_uncertainty_score":0.0340575,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4413230362","doi":"10.1142/s0219622025500798","title":"A Deep Convolutional Neural Network Model to Predict Consumer Recommendations using Online Reviews","year":2025,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial intelligence; Computer science; Convolutional neural network; Deep learning; Machine learning; Predictive power; Recall; Data science; Process (computing); Perception; Artificial neural network; Consumer behaviour; Psychology; Cognitive psychology","authors":[{"name":"Praphula Kumar Jain","is_ca":false},{"name":"Rajendra Pamula","is_ca":false},{"name":"Gautam Srivastava","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03522227243974456,"gpt":0.3647866517786651,"spread":0.3295643793389206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004438249,0.0006018746,0.0003500855,0.0005521654,0.0001853157,0.0004628993,0.0007375737,0.0006018121,0.001327331],"category_scores_gemma":[0.001123878,0.0002793451,0.0004430767,0.0004483504,0.000155396,0.0004600422,0.0002614671,0.0007934156,0.0004946108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008980934,"about_ca_system_score_gemma":0.0007618741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0301359,"about_ca_topic_score_gemma":0.03016295,"domain_scores_codex":[0.999868,0.00002140319,0.00001051254,0.00004356168,0.00003019632,0.00002634254],"domain_scores_gemma":[0.9996856,0.0001104339,0.00003043172,0.00001522575,0.0001441848,0.00001414096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003814914,0.0003522626,0.01486855,0.0001335877,0.0002077097,0.0001851917,0.00009385712,0.7367254,0.006794748,0.003062243,0.007344023,0.229851],"study_design_scores_gemma":[0.000002813988,0.00001446166,0.0005340847,0.000003548953,0.000009957376,0.000006686935,0.000002039318,0.9986494,0.0003455738,0.0002614317,0.0001677745,0.00000220627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4178554,0.003089636,0.5594766,0.002221086,0.0004799515,0.0001755767,0.00265984,0.002190772,0.01185125],"genre_scores_gemma":[0.9450099,0.0007044506,0.0426058,0.0002580215,0.00008681826,0.0001183086,0.001546616,0.00002698574,0.009643043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0301359,"threshold_uncertainty_score":0.05992097,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415013167","doi":"10.1142/s0219622026300016","title":"Innovative Evolutions in Multicriteria Decision-Making: Discovering Complex Challenges in Contemporary Decision-Making (2021–2023)","year":2025,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Multiple-criteria decision analysis; Selection (genetic algorithm); Dominance (genetics); Decision support system","authors":[{"name":"Naeimeh Akbari-Gharalari","is_ca":false},{"name":"Yashar Pourrahimian","is_ca":true},{"name":"Farshad Nezhadshahmohammad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04032224340487066,"gpt":0.3595836783140716,"spread":0.3192614349092009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02137468,0.000879098,0.001312383,0.00640016,0.001075502,0.007955079,0.001406916,0.002621427,0.001979937],"category_scores_gemma":[0.03271039,0.0005088816,0.001877786,0.01042347,0.003147539,0.008481585,0.002226034,0.00220986,0.0003032034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005372782,"about_ca_system_score_gemma":0.007887427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008937,"about_ca_topic_score_gemma":0.003688564,"domain_scores_codex":[0.9892895,0.005657813,0.001222134,0.0009865086,0.002421141,0.0004229363],"domain_scores_gemma":[0.9476293,0.04254328,0.00347225,0.0011386,0.004644599,0.0005719772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002027195,0.0001216874,0.009934902,0.04954869,0.001185428,0.0009912656,0.006693405,0.007212536,0.001249046,0.2386224,0.008344504,0.6758934],"study_design_scores_gemma":[0.0000686109,0.0004603283,0.01846909,0.08698029,0.001250247,0.002332101,0.01864483,0.0100906,0.002825408,0.4011147,0.4575199,0.0002439836],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03078487,0.8987937,0.03164341,0.01857659,0.001367557,0.0002194643,0.0002940559,0.00005104856,0.01826931],"genre_scores_gemma":[0.4047689,0.5311236,0.05560831,0.004842525,0.001159389,0.0004075766,0.0004818034,0.00004130257,0.00156666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9935998,"threshold_uncertainty_score":0.1130414,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323266498","doi":"10.1142/s0219622023500360","title":"An Entity Extraction and Categorization Technique on Twitter Streams","year":2023,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Word2vec; Information retrieval; Categorization; Social media; Entity linking; Task (project management); Information extraction; Process (computing); Semantic Web; Annotation; World Wide Web; Knowledge base; Data science; Artificial intelligence","authors":[{"name":"Senthil Kumar Narayanasamy","is_ca":false},{"name":"Maiga Chang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01200378828492195,"gpt":0.328438379132472,"spread":0.3164345908475501,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006067427,0.001013784,0.0007392213,0.005578143,0.001492297,0.001152021,0.0008963327,0.000983327,0.003234813],"category_scores_gemma":[0.002038604,0.0002356269,0.001007141,0.004630705,0.0002103535,0.002559077,0.0009843436,0.0007818349,0.00313469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005154292,"about_ca_system_score_gemma":0.0007626899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006926324,"about_ca_topic_score_gemma":0.009668878,"domain_scores_codex":[0.9993174,0.00006834015,0.0000776013,0.000202937,0.0002204146,0.0001133479],"domain_scores_gemma":[0.9992206,0.0001674204,0.00006235572,0.0001077966,0.0003967491,0.00004506817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007929359,0.0003902001,0.01108755,0.0003459043,0.0001517139,0.001564159,0.0005474846,0.005921174,0.05174847,0.004891325,0.04010896,0.8824502],"study_design_scores_gemma":[0.0000946656,0.000321078,0.02712382,0.0001075996,0.0002519509,0.001777725,0.002336426,0.7335458,0.1221286,0.01274544,0.09939431,0.0001726057],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1763738,0.002076699,0.7696031,0.001613752,0.001134309,0.001406237,0.01795998,0.01388113,0.01595094],"genre_scores_gemma":[0.3865211,0.001332344,0.5531744,0.0003000436,0.0005673306,0.0006593878,0.03593928,0.0003700701,0.02113601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006926324,"threshold_uncertainty_score":0.01377201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412815654","doi":"10.1142/s0219622025500889","title":"A Decision–Making System for Managing Renewable Energy Alternatives and Strategy Using Triangular Neutrosophic Bipolar Fuzzy TOPSIS","year":2025,"lang":"en","type":"article","venue":"International Journal of Information Technology & Decision Making","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"TOPSIS; Renewable energy; Fuzzy logic; Operations research; Computer science; Mathematical optimization; Mathematics; Engineering; Artificial intelligence; Electrical engineering","authors":[{"name":"Raja Muhammad Hashim","is_ca":false},{"name":"Muhammad Gulistan","is_ca":true},{"name":"Musaed Alhussein","is_ca":false},{"name":"Khursheed Aurangzeb","is_ca":false},{"name":"Adnan Khurshid","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04530172381779102,"gpt":0.3962818716126556,"spread":0.3509801477948646,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002879418,0.001235705,0.001348103,0.001916746,0.001719511,0.003097842,0.001761459,0.001317929,0.00502594],"category_scores_gemma":[0.003094822,0.0005116113,0.001417559,0.001895004,0.0007454135,0.001705767,0.001819693,0.001537935,0.0006814867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034187,"about_ca_system_score_gemma":0.003683736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006876502,"about_ca_topic_score_gemma":0.007856729,"domain_scores_codex":[0.9986191,0.0004953255,0.0001446042,0.0002161061,0.0004192787,0.0001055978],"domain_scores_gemma":[0.9992574,0.0003179197,0.0000996676,0.00003566197,0.0002182216,0.00007108435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00014611,0.0002187798,0.00124675,0.0005402463,0.0002923259,0.0009080655,0.0008734021,0.7057704,0.008657973,0.1050861,0.003386304,0.1728736],"study_design_scores_gemma":[0.00003199407,0.000109405,0.0001604021,0.00006027964,0.00006413081,0.00007253922,0.0001856315,0.9641502,0.001054063,0.03094019,0.003138614,0.00003257858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007564806,0.0001318074,0.9852514,0.0002507364,0.00004899164,0.0004056934,0.0001210339,0.0003237932,0.005901658],"genre_scores_gemma":[0.2934855,0.0004169602,0.7018345,0.0001194612,0.00005238221,0.0011653,0.0002939937,0.00003043481,0.002601521],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006876502,"threshold_uncertainty_score":0.01681352,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}