{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":297,"total_is_capped":false,"direct_labels_cover":3,"predictions_cover":297,"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":"bfa411fa1c80","filters":{"topic":"Impact of AI and Big Data on Business and Society"}},"results":[{"id":"W4387884480","doi":"10.2139/ssrn.4609858","title":"AI Adoption in America: Who, What, and Where","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of British Columbia Hospital; University of Toronto","funders":"","keywords":"Business; Political science","authors":[{"name":"Kristina McElheran","is_ca":true},{"name":"J. Frank Li","is_ca":true},{"name":"Erik Brynjolfsson","is_ca":false},{"name":"Zachary Kroff","is_ca":false},{"name":"Emin Dinlersoz","is_ca":false},{"name":"Lucia Foster","is_ca":false},{"name":"Nikolas Zolas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04503208456623845,"gpt":0.3530862371175185,"spread":0.30805415255128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003145966,0.0002147374,0.0003498291,0.002239277,0.001679662,0.005572657,0.0006518643,0.001767613,0.007136844],"category_scores_gemma":[0.009665131,0.0002000852,0.0003362367,0.005244078,0.003899089,0.006298315,0.001989855,0.004615654,0.0007017998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0054069,"about_ca_system_score_gemma":0.007367788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1185174,"about_ca_topic_score_gemma":0.1717436,"domain_scores_codex":[0.9976859,0.0006679203,0.00008927227,0.0002606095,0.0004897321,0.0008064886],"domain_scores_gemma":[0.9840233,0.005302967,0.002637663,0.0003549714,0.003802792,0.003878247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004033489,0.000912633,0.392453,0.0008549211,0.0001637138,0.0005002825,0.02828634,0.000355056,0.0008043581,0.05958358,0.138647,0.3770357],"study_design_scores_gemma":[0.00004191307,0.0001549083,0.6354038,0.002210607,0.0001312787,0.0002795501,0.1232933,0.001138201,0.0007909061,0.02256362,0.2138845,0.0001074208],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4108672,0.03987231,0.0007254955,0.4879895,0.001025153,0.00003284997,0.001059409,0.00005432589,0.05837374],"genre_scores_gemma":[0.9487715,0.0254911,0.0002892802,0.01991189,0.0006694231,0.00001883223,0.0003370195,0.00003875091,0.004472196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1185174,"threshold_uncertainty_score":0.2356552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406272499","doi":"10.1016/j.joitmc.2025.100474","title":"The impact of artificial intelligence on organizational performance: The mediating role of employee productivity","year":2025,"lang":"en","type":"article","venue":"Journal of Open Innovation Technology Market and Complexity","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Productivity; Knowledge management; Business; Organizational performance; Psychology; Computer science; Economics","authors":[{"name":"Belayneh Yitayew Kassa","is_ca":false},{"name":"Eyob Ketema Worku","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1221934749646822,"gpt":0.4102222215900046,"spread":0.2880287466253224,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004087656,0.0007032868,0.0003942733,0.001366129,0.001127372,0.003802191,0.0006878928,0.0007635684,0.008088645],"category_scores_gemma":[0.01532071,0.0002159426,0.0005607554,0.001184984,0.001569244,0.001657897,0.003486102,0.001087382,0.0004845285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229491,"about_ca_system_score_gemma":0.003334209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133497,"about_ca_topic_score_gemma":0.001982659,"domain_scores_codex":[0.996159,0.00186512,0.0001859494,0.0003994434,0.0006806087,0.000709889],"domain_scores_gemma":[0.9744736,0.01739926,0.002871777,0.0009654904,0.001529842,0.002760129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000648204,0.002478484,0.7596592,0.0008775487,0.0007584994,0.001653209,0.01845388,0.003678298,0.003381265,0.02638905,0.001726985,0.1802954],"study_design_scores_gemma":[0.00006023895,0.000932136,0.9548515,0.0006421576,0.0006481357,0.0002702355,0.01561386,0.005494923,0.002326401,0.01313445,0.005953317,0.00007272048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676578,0.0008336692,0.001810138,0.001773354,0.00006331014,0.00004572704,0.0001037738,0.00003387339,0.02767836],"genre_scores_gemma":[0.9988426,0.0001886966,0.0002477181,0.00003905157,0.00001489467,0.00001399227,0.00001727726,0.000004067307,0.0006316326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008088645,"threshold_uncertainty_score":0.0270592,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311784178","doi":"10.5267/j.ijdns.2022.12.010","title":"Determinants of artificial intelligence adoption in SMEs: The mediating role of accounting automation","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University; Applied Science Private University","keywords":"Automation; Context (archaeology); Business; Knowledge management; Accounting; Variables; Marketing; Computer science; Engineering; Machine learning","authors":[{"name":"Awni Rawashdeh","is_ca":false},{"name":"Mashael Bakhit","is_ca":false},{"name":"Layla Abaalkhail","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1219421913886346,"gpt":0.4121704189083722,"spread":0.2902282275197376,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002100575,0.0002427531,0.0001948033,0.00103025,0.0004554637,0.001737572,0.0002489321,0.0004411594,0.002993246],"category_scores_gemma":[0.01473876,0.0001478726,0.0003182009,0.001193407,0.0007561345,0.001144252,0.00105381,0.000674257,0.0001868379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005769163,"about_ca_system_score_gemma":0.00159621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005028631,"about_ca_topic_score_gemma":0.006616838,"domain_scores_codex":[0.9984834,0.0007228293,0.0001503666,0.0001152584,0.0002706714,0.0002575101],"domain_scores_gemma":[0.9765854,0.0141608,0.005921626,0.0006146284,0.001334462,0.00138309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006588794,0.0002450297,0.9764698,0.00006384368,0.00004972254,0.0005943027,0.005107399,0.0004800878,0.0007088432,0.002581026,0.0001386039,0.01349536],"study_design_scores_gemma":[0.00001218084,0.0001724671,0.978378,0.0001353482,0.00009033133,0.0002719194,0.0150886,0.002561857,0.0006363206,0.001267353,0.001367147,0.00001839296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974945,0.00008822169,0.000173642,0.000257849,0.000002201021,0.000007867606,0.00001374142,0.000002449189,0.001959551],"genre_scores_gemma":[0.9997672,0.0000538905,0.00008123306,0.000009378842,0.000001403678,0.000002163254,0.000007182982,3.869623e-7,0.00007712557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005028631,"threshold_uncertainty_score":0.01110899,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4360962889","doi":"10.1787/2247ce58-en","title":"The Impact of AI on the Workplace: Evidence from OECD Case Studies of AI Implementation","year":2023,"lang":"en","type":"report","venue":"OECD social employment and migration working papers","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Employment and Social Development Canada; Bundesministerium für Arbeit und Soziales; Ministry of Labour and Social Protection of the Russian Federation","keywords":"Productivity; Perspective (graphical); Work (physics); Quality (philosophy); Business; Automation; Knowledge management; Labour economics; Marketing; Engineering; Computer science; Economics; Economic growth; Artificial intelligence","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.4388517413590104,"gpt":0.5394437177805941,"spread":0.1005919764215836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02255663,0.0003812169,0.0004557751,0.004639833,0.004211177,0.006256336,0.001455969,0.001179775,0.00279107],"category_scores_gemma":[0.04167258,0.0002882707,0.0005102584,0.01060119,0.006503875,0.003361754,0.005680095,0.001320167,0.0005119814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01097539,"about_ca_system_score_gemma":0.006596752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06103813,"about_ca_topic_score_gemma":0.0625025,"domain_scores_codex":[0.978226,0.01441024,0.0008695771,0.0006073545,0.004012015,0.001874852],"domain_scores_gemma":[0.9163172,0.06078614,0.008112586,0.005487002,0.007852892,0.001444234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007716978,0.001381409,0.3749569,0.004507509,0.0004156127,0.005163342,0.30104,0.003307741,0.0008184777,0.03408284,0.0281045,0.24545],"study_design_scores_gemma":[0.00008855452,0.0004975435,0.2935316,0.004514173,0.0002012704,0.0009128564,0.584492,0.000888187,0.001415637,0.004396094,0.1089773,0.00008476583],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9116845,0.007127702,0.001575714,0.004729495,0.00009507432,0.000218844,0.001107364,0.0000342215,0.07342698],"genre_scores_gemma":[0.9900274,0.005978331,0.0008705923,0.0006237807,0.00003497853,0.0001769833,0.0004273845,0.00002334592,0.001837198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06103813,"threshold_uncertainty_score":0.1213657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3023555036","doi":"10.5267/j.msl.2020.4.032","title":"Examining the technology acceptance model using cloud-based accounting software of Vietnamese enterprises","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Vietnamese; Cloud computing; Technology acceptance model; Computer science; Accounting; Software; Business; Knowledge management; Process management; Usability; Operating system","authors":[{"name":"Oanh Thi Tu Le","is_ca":false},{"name":"Quynh Mai Cao","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1320238238029698,"gpt":0.3416227211951379,"spread":0.2095988973921681,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003512516,0.0003235059,0.0002845643,0.0011038,0.0007589626,0.002205473,0.0004586507,0.0004920611,0.002476543],"category_scores_gemma":[0.0107436,0.0002563151,0.0006947559,0.0008078826,0.0008038902,0.001054651,0.000906846,0.0008325375,0.0002463028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558873,"about_ca_system_score_gemma":0.002521351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02719332,"about_ca_topic_score_gemma":0.01779771,"domain_scores_codex":[0.998069,0.000775347,0.0001536834,0.0001398599,0.0004485537,0.0004135945],"domain_scores_gemma":[0.9868979,0.007704417,0.001643748,0.0004083347,0.002390972,0.0009545257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000809218,0.0004403049,0.9650987,0.00005300047,0.00004938859,0.0003093651,0.02041452,0.0008666393,0.0005838883,0.001526066,0.0002141761,0.01036296],"study_design_scores_gemma":[0.00002443212,0.0007096848,0.8926551,0.0001987658,0.0001030904,0.0002705128,0.07674731,0.02568726,0.0008182682,0.0008155547,0.001925805,0.00004413184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984425,0.0000201039,0.0002001024,0.0001113216,0.000001764093,0.00001780883,0.00001530578,0.000001413223,0.001189628],"genre_scores_gemma":[0.9996067,0.00003010275,0.0001164571,0.00001475292,0.000001037133,0.00001395105,0.00002142111,8.024659e-7,0.0001948852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02719332,"threshold_uncertainty_score":0.05407006,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396498564","doi":"10.5539/cis.v17n1p49","title":"Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making","year":2024,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Ethical decision; Engineering ethics","authors":[{"name":"Omoshola S. Owolabi","is_ca":false},{"name":"Prince C. Uche","is_ca":false},{"name":"Nathaniel T. Adeniken","is_ca":false},{"name":"Christopher Ihejirika","is_ca":false},{"name":"Riyad Bin Islam","is_ca":false},{"name":"Bishal Jung Thapa Chhetri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09020752152098131,"gpt":0.4153678968055081,"spread":0.3251603752845267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1751237,0.0005674076,0.0006520869,0.002066297,0.00996579,0.01704839,0.002241561,0.01092586,0.001919484],"category_scores_gemma":[0.2623012,0.0005924936,0.0008579963,0.002034634,0.06574291,0.01249491,0.01061044,0.01491095,0.0003685617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01123033,"about_ca_system_score_gemma":0.02888401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004282726,"about_ca_topic_score_gemma":0.004845961,"domain_scores_codex":[0.7133223,0.2426642,0.006555502,0.005870287,0.02621982,0.00536775],"domain_scores_gemma":[0.5358059,0.3809154,0.02810512,0.01855825,0.02992521,0.006690133],"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":[0.00004914974,0.0001022688,0.006479778,0.000181977,0.00003516368,0.0004605447,0.02678468,0.001558479,0.0003139426,0.9323961,0.003829009,0.02780892],"study_design_scores_gemma":[0.00004089357,0.00007364809,0.002181519,0.001112722,0.00003136675,0.0004263155,0.0167042,0.003833133,0.001001045,0.9284016,0.04611841,0.00007515398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1229463,0.00634271,0.1147514,0.574892,0.001749832,0.0003880104,0.00005759098,0.00006067842,0.1788115],"genre_scores_gemma":[0.9562128,0.001349782,0.01939785,0.02028377,0.0003642345,0.0002267909,0.00001629431,0.0000312136,0.002117391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1751237,"threshold_uncertainty_score":0.9261535,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3041879351","doi":"10.5430/ijfr.v11n4p255","title":"CEO Characteristics and Real Earnings Management in Jordan","year":2020,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Chief executive officer; Accounting; Business; Earnings management; Stock exchange; Corporation; Earnings; Association (psychology); Financial statement; Empirical evidence; Finance; Economics; Management; Psychology","authors":[{"name":"Mohammad Abedalrahman Alhmood","is_ca":false},{"name":"Hasnah Shaari","is_ca":false},{"name":"Redhwan Al‐Dhamari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2442930967974919,"gpt":0.4806551910862316,"spread":0.2363620942887396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001038136,0.00008939493,0.0001024002,0.0006038576,0.0002849197,0.0008261746,0.0001515839,0.0001542335,0.001519102],"category_scores_gemma":[0.002630927,0.00005321861,0.00009165153,0.0007029424,0.0002101781,0.0003805314,0.0004189977,0.0002303936,0.0002080625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236739,"about_ca_system_score_gemma":0.000525158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004115466,"about_ca_topic_score_gemma":0.009611136,"domain_scores_codex":[0.9996594,0.00009416722,0.00004735296,0.00003608819,0.0001065787,0.00005647503],"domain_scores_gemma":[0.9954075,0.0006225557,0.002818062,0.00009674649,0.0005981022,0.000457017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002620322,0.00004279626,0.9930408,0.00001131061,0.000009460124,0.00009219314,0.0006475271,0.00007699881,0.00008699932,0.00007622733,0.0002771673,0.005612347],"study_design_scores_gemma":[0.000002691299,0.00004213205,0.9947142,0.00001701817,0.000005000159,0.00008123142,0.003562222,0.0002088531,0.00009790272,0.00006614871,0.001198298,0.000004425302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990011,0.0001840137,0.00001867749,0.0001499209,0.000003048877,0.000001767514,0.0000455004,7.249472e-7,0.0005952464],"genre_scores_gemma":[0.9991457,0.0001598402,0.00003506672,0.00003245592,0.00001040804,0.000001433965,0.00008592637,6.051051e-7,0.0005284371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004115466,"threshold_uncertainty_score":0.008183002,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400474139","doi":"10.5267/j.uscm.2024.5.028","title":"A mediated moderated analysis of knowledge management and stakeholder relationships between open innovation and performance of entrepreneurial firms","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Business; Stakeholder; Knowledge management; Open innovation; Marketing; Industrial organization; Stakeholder theory; Public relations; Computer science","authors":[{"name":"Omar Ali Kanaan","is_ca":false},{"name":"Malek Alsoud","is_ca":false},{"name":"Muzaffar Asad","is_ca":false},{"name":"Mohammad A. Ta’Amnha","is_ca":false},{"name":"Shaker Al-Qudah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1785494712190211,"gpt":0.3579423587857902,"spread":0.1793928875667691,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008811846,0.0003844896,0.0004779222,0.002893414,0.001727063,0.003582178,0.0008836876,0.0007456476,0.006739961],"category_scores_gemma":[0.03566067,0.0002488507,0.0008740912,0.002235337,0.001477924,0.002411785,0.00335909,0.001161682,0.0004347558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00194568,"about_ca_system_score_gemma":0.003020079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006266926,"about_ca_topic_score_gemma":0.005558205,"domain_scores_codex":[0.9934552,0.004664333,0.000224087,0.0005887758,0.0006161914,0.0004513724],"domain_scores_gemma":[0.9324306,0.05440633,0.005961789,0.002363945,0.003138124,0.00169928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005737829,0.0007286777,0.9171603,0.0002432483,0.0005294049,0.0005310741,0.02540647,0.001725199,0.001216529,0.01758502,0.000632826,0.03366743],"study_design_scores_gemma":[0.00005722821,0.0009798028,0.9062099,0.0002323034,0.0006404151,0.0002668645,0.05113066,0.01891868,0.001877885,0.01621699,0.003383731,0.00008547756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914764,0.00005370264,0.002288949,0.000227012,0.000007915483,0.00008199153,0.0001465433,0.00001354117,0.005703974],"genre_scores_gemma":[0.9984733,0.0000240487,0.000874786,0.00002648225,0.000005265767,0.00009235406,0.00006251015,0.000003163795,0.0004380012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008811846,"threshold_uncertainty_score":0.04660207,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387868069","doi":"10.3386/w31788","title":"AI Adoption in America: Who, What, and Where","year":2023,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"The Scarborough Hospital; University of Toronto; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Ewing Marion Kauffman Foundation","keywords":"Computer science","authors":[{"name":"Kristina McElheran","is_ca":true},{"name":"J. Frank Li","is_ca":true},{"name":"Erik Brynjolfsson","is_ca":true},{"name":"Zachary Kroff","is_ca":true},{"name":"Emin Dinlersoz","is_ca":true},{"name":"Lucia Foster","is_ca":true},{"name":"Nikolas Zolas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.7308472215130849,"gpt":0.6285720298549287,"spread":0.1022751916581562,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008841223,0.0001291333,0.0001762559,0.001840539,0.0005948158,0.001940203,0.0003414506,0.000554193,0.001867039],"category_scores_gemma":[0.004096387,0.0001424261,0.0001922354,0.004390793,0.0006634371,0.002363286,0.001004627,0.001332981,0.000519517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158702,"about_ca_system_score_gemma":0.001283148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09483859,"about_ca_topic_score_gemma":0.1341739,"domain_scores_codex":[0.9994522,0.0001274589,0.00003990485,0.0001018181,0.0001173189,0.0001613351],"domain_scores_gemma":[0.99414,0.001582952,0.002181983,0.0001579637,0.001146471,0.0007906123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004990773,0.0001662072,0.9305375,0.0001073881,0.00003209252,0.0001551537,0.01312182,0.0001045403,0.0002928519,0.001076146,0.007364635,0.0469918],"study_design_scores_gemma":[0.000003177531,0.00003178463,0.964087,0.0001273848,0.00001491093,0.00008979467,0.02205863,0.0002497457,0.0001594633,0.0002985589,0.0128662,0.00001327872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825649,0.001600141,0.0002678039,0.004351752,0.00003202699,0.00001698392,0.001919813,0.00001709791,0.009229554],"genre_scores_gemma":[0.9918756,0.003220065,0.0002832451,0.0009720042,0.00005383581,0.00002705664,0.001611304,0.00001398232,0.001942847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09483859,"threshold_uncertainty_score":0.1885731,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4405482814","doi":"10.1108/intr-02-2024-0195","title":"Artificial intelligence adoption and revenue growth in European SMEs: synergies with IoT and big data analytics","year":2024,"lang":"en","type":"article","venue":"Internet Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University","funders":"","keywords":"Revenue; Eurobarometer; Context (archaeology); Business; Analytics; Big data; Marketing; Small and medium-sized enterprises; Asset (computer security); Empirical evidence; Industrial organization; Computer science; Accounting; Data science; European union; Finance; Computer security","authors":[{"name":"Lorenzo Ardito","is_ca":true},{"name":"Raffaele Filieri","is_ca":false},{"name":"Elisabetta Raguseo","is_ca":false},{"name":"Claudio Vitari","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5531287695313306,"gpt":0.47962614563248,"spread":0.0735026238988506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002346373,0.0002146222,0.0002213261,0.001617542,0.0002706156,0.002184151,0.0002629832,0.0003824217,0.001506397],"category_scores_gemma":[0.009974091,0.00007257268,0.0003948464,0.002127783,0.0008182485,0.001881761,0.001727491,0.0006520278,0.0002510843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009336047,"about_ca_system_score_gemma":0.0007840654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507351,"about_ca_topic_score_gemma":0.003142693,"domain_scores_codex":[0.9988598,0.0004016607,0.0001152675,0.0001609665,0.0002560631,0.0002064026],"domain_scores_gemma":[0.9843622,0.006632478,0.005049442,0.0005244392,0.001975178,0.001456243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003718236,0.0003641155,0.9200551,0.0003109767,0.0001775706,0.002080091,0.001561461,0.005739124,0.001778827,0.009417536,0.001694587,0.05644871],"study_design_scores_gemma":[0.00003445768,0.0004069723,0.960862,0.0004547857,0.0001671975,0.0007506376,0.007600739,0.01067804,0.0034859,0.003931568,0.01157643,0.00005124274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914705,0.001029134,0.0006568533,0.0008903109,0.00001606401,0.00001077056,0.0001658564,0.00001302447,0.005747438],"genre_scores_gemma":[0.9993312,0.000241484,0.0001236964,0.00003535246,0.000008994322,0.000002785663,0.00008566387,0.000001776656,0.0001690317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003507351,"threshold_uncertainty_score":0.01240891,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3197388750","doi":"10.1037/rev0000325","title":"On the role of similarity in mental accounting and hedonic editing.","year":2021,"lang":"en","type":"article","venue":"Psychological Review","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Booth University College","funders":"","keywords":"Categorization; Mental accounting; PsycINFO; Similarity (geometry); Psychology; Salient; Mental representation; Preference; Process (computing); Mental process; Mental model; Cognitive psychology; Social psychology; Computer science; Cognition; Actuarial science; Statistics; Artificial intelligence; Economics; MEDLINE; Mathematics; Cognitive science","authors":[{"name":"Ellen Evers","is_ca":false},{"name":"Alex Imas","is_ca":true},{"name":"Christy Kang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1706722632292371,"gpt":0.44687208073199,"spread":0.2761998175027529,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002998007,0.0002421714,0.0003027453,0.001089095,0.0006069162,0.002128855,0.0006249463,0.0008997018,0.005459155],"category_scores_gemma":[0.01535451,0.000154311,0.0004089115,0.001326289,0.003525612,0.003392936,0.0009281487,0.00123628,0.0004630249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354651,"about_ca_system_score_gemma":0.001190213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707289,"about_ca_topic_score_gemma":0.003544184,"domain_scores_codex":[0.9988951,0.0005810258,0.00007954639,0.0001373809,0.0002531398,0.0000538052],"domain_scores_gemma":[0.9897139,0.006665749,0.002020596,0.000763328,0.00060656,0.0002298776],"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":[0.0003270155,0.00008714414,0.03723615,0.001152897,0.0002245542,0.0002730444,0.001871101,0.003283212,0.001083879,0.5566662,0.01545661,0.3823382],"study_design_scores_gemma":[0.00005743291,0.00018406,0.130432,0.001033616,0.0002083919,0.0008917106,0.002908658,0.009797076,0.001005384,0.804978,0.04842265,0.00008105922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4321712,0.143593,0.05848473,0.08157504,0.001177815,0.0002131963,0.001607013,0.0001941932,0.2809838],"genre_scores_gemma":[0.9759948,0.01410092,0.005778123,0.001348585,0.0002152109,0.00004363494,0.0002147996,0.00001111943,0.002292726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005459155,"threshold_uncertainty_score":0.01826268,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408509533","doi":"10.3390/math13060981","title":"Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems","year":2025,"lang":"en","type":"article","venue":"Mathematics","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Agentúra na Podporu Výskumu a Vývoja","keywords":"Internet of Things; Big data; Industrial Internet; Computer science; Predictive maintenance; Artificial intelligence; Industry 4.0; The Internet; Engineering; Data mining; World Wide Web; Reliability engineering","authors":[{"name":"Marek Nagy","is_ca":false},{"name":"Marcel Figura","is_ca":false},{"name":"Katarína Valášková","is_ca":false},{"name":"George Lăzăroiu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1625779971524529,"gpt":0.3477917421746296,"spread":0.1852137450221767,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002451358,0.0004449428,0.0004022062,0.001873731,0.0003724761,0.002361519,0.0006250943,0.0007556285,0.0009797305],"category_scores_gemma":[0.006989242,0.0002232085,0.0003624323,0.002624162,0.001097007,0.003116872,0.0008933099,0.00112441,0.0001436927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043173,"about_ca_system_score_gemma":0.0007494818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003409655,"about_ca_topic_score_gemma":0.00354332,"domain_scores_codex":[0.9990373,0.00041866,0.00005767532,0.0001266898,0.000283913,0.00007580569],"domain_scores_gemma":[0.9938915,0.004546573,0.0006280263,0.0003088379,0.0004425215,0.0001825347],"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":[0.0004061586,0.0003675119,0.08653942,0.0005842108,0.0002800187,0.0005570329,0.0005195221,0.2837137,0.001772017,0.1028211,0.006101563,0.5163378],"study_design_scores_gemma":[0.00002645491,0.0002404842,0.03547078,0.0002504473,0.00008681266,0.0002960034,0.001159532,0.7865583,0.00334109,0.1585993,0.01391297,0.0000578968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5544906,0.02046206,0.3839439,0.01486021,0.0006313745,0.0001389625,0.0005215856,0.0006628404,0.02428842],"genre_scores_gemma":[0.9587328,0.002057744,0.03782371,0.0001782845,0.0001103998,0.00002404352,0.0001400311,0.00002424393,0.0009087423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003409655,"threshold_uncertainty_score":0.01296419,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4307748394","doi":"10.3386/w30612","title":"AI, Skill, and Productivity: The Case of Taxi Drivers","year":2022,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"Japan Science and Technology Agency","keywords":"Productivity; Computer science; Business; Economics; Economic growth","authors":[{"name":"Kyogo Kanazawa","is_ca":true},{"name":"Daiji Kawaguchi","is_ca":true},{"name":"Hitoshi Shigeoka","is_ca":true},{"name":"Yasutora Watanabe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6257629435917641,"gpt":0.6049006160168972,"spread":0.02086232757486695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303265,0.0001942535,0.0001951878,0.001216923,0.002349139,0.001927618,0.000492904,0.0008176893,0.004294114],"category_scores_gemma":[0.007463695,0.0001149146,0.0002665427,0.002070988,0.001280743,0.001503874,0.001436561,0.001563343,0.0003411064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002413673,"about_ca_system_score_gemma":0.00182408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09678143,"about_ca_topic_score_gemma":0.1238473,"domain_scores_codex":[0.9994135,0.0002409419,0.00001519506,0.0000319094,0.00007138575,0.0002270267],"domain_scores_gemma":[0.9928854,0.004502651,0.0007589022,0.000190555,0.0006734706,0.0009889223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003330988,0.001466169,0.8399576,0.0001436748,0.00015664,0.004996404,0.03454663,0.007310522,0.0003828873,0.04205358,0.01126416,0.05738869],"study_design_scores_gemma":[0.0001321047,0.0004411394,0.6169174,0.0002112592,0.0001446589,0.001427328,0.2688259,0.03056193,0.0007309952,0.04624033,0.03427469,0.00009237535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9760605,0.0003450831,0.0004339194,0.004822812,0.00001772071,0.00001618902,0.0001254068,0.000003689635,0.01817476],"genre_scores_gemma":[0.9976711,0.0004303178,0.0002162184,0.0001809797,0.00001599954,0.000009872609,0.00006214928,0.000001820358,0.00141144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09678143,"threshold_uncertainty_score":0.1924362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2891681677","doi":"10.1109/tcss.2018.2862058","title":"From Intelligent Vehicles to Smart Societies: A Parallel Driving Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Impact of AI and Big Data on Business and Society","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 Waterloo","funders":"","keywords":"Computer science; Computer security; Distributed computing","authors":[{"name":"Fei‐Yue Wang","is_ca":false},{"name":"Yong Yuan","is_ca":false},{"name":"Juanjuan Li","is_ca":false},{"name":"Dongpu Cao","is_ca":true},{"name":"Lingxi Li","is_ca":false},{"name":"Pétros Ioannou","is_ca":false},{"name":"Miguel Ángel Sotelo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1240237228989529,"gpt":0.3646760807098628,"spread":0.24065235781091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001327054,0.0005214108,0.0005338055,0.0007939171,0.002290834,0.006201257,0.001863129,0.00324347,0.03451545],"category_scores_gemma":[0.004131693,0.0003628953,0.0008644814,0.0009021548,0.002163739,0.01168175,0.004097158,0.003869023,0.006412638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600322,"about_ca_system_score_gemma":0.001633018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002616394,"about_ca_topic_score_gemma":0.005717386,"domain_scores_codex":[0.9993717,0.0002282724,0.00001874282,0.0001092984,0.0001849418,0.00008718568],"domain_scores_gemma":[0.9984768,0.0005260682,0.00005450826,0.0001928881,0.0004357492,0.0003139619],"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":[0.00007643424,0.00005909209,0.0007096741,0.0002892887,0.00004521761,0.0001997444,0.0006147638,0.007432776,0.0005547362,0.5774747,0.2820042,0.1305395],"study_design_scores_gemma":[0.00001734196,0.00004230587,0.0002621107,0.0000961294,0.00001784211,0.0001170956,0.001087622,0.02001953,0.0004134281,0.5434664,0.4344353,0.000024844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01271301,0.009890843,0.2315233,0.5021079,0.0327981,0.0002661456,0.0006630475,0.0009593187,0.2090783],"genre_scores_gemma":[0.4341888,0.03127862,0.168965,0.03537576,0.02409885,0.0005615798,0.001185241,0.00117834,0.3031679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03451545,"threshold_uncertainty_score":0.1154656,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125403953","doi":"10.3386/w25619","title":"Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction","year":2019,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Impact of AI and Big Data on Business and Society","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":"Artificial intelligence; Computer science; Machine learning","authors":[{"name":"Ajay Agrawal","is_ca":true},{"name":"Joshua S. Gans","is_ca":true},{"name":"Avi Goldfarb","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5659333150523325,"gpt":0.5909869157845971,"spread":0.02505360073226459,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005461693,0.0004339729,0.0004271179,0.001078585,0.001270305,0.004497822,0.0007078393,0.002043612,0.01055914],"category_scores_gemma":[0.03865778,0.0002360807,0.0003524114,0.001221735,0.003610845,0.004656829,0.001524694,0.00316348,0.0009648118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635395,"about_ca_system_score_gemma":0.001342795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003134663,"about_ca_topic_score_gemma":0.001699595,"domain_scores_codex":[0.9976991,0.001199047,0.00006659958,0.0002657449,0.0005880254,0.0001815511],"domain_scores_gemma":[0.9591311,0.03386539,0.002216647,0.001980534,0.001834384,0.000971872],"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":[0.001011751,0.0005747025,0.02964269,0.0003605091,0.0001182367,0.0005304221,0.001142262,0.02233142,0.002325865,0.732182,0.02975816,0.180022],"study_design_scores_gemma":[0.00009054021,0.00009545614,0.02599147,0.0001675657,0.00004129848,0.00009771143,0.0007773057,0.0311476,0.001003189,0.9277108,0.01283245,0.0000445159],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3974481,0.009630541,0.02813028,0.1904917,0.001343883,0.00008674234,0.000768643,0.0003191149,0.371781],"genre_scores_gemma":[0.9868922,0.001769768,0.002467082,0.003496649,0.0008820017,0.00002558762,0.00010832,0.00004591794,0.004312631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01055914,"threshold_uncertainty_score":0.03532386,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2292662359","doi":"","title":"Comparing the Management Practices and Productive Efficiency of Korean and Japanese Firms: An Interview Survey Approach","year":2016,"lang":"en","type":"article","venue":"Seoul National University Open Repository (Seoul National University)","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Business; Accounting; Industrial organization","authors":[{"name":"Keun Lee","is_ca":true},{"name":"Tsutomu Miyagawa","is_ca":false},{"name":"YoungGak Kim","is_ca":false},{"name":"Kazuma Edamura","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2133125135138671,"gpt":0.3473443109867296,"spread":0.1340317974728626,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003607319,0.0002323479,0.0002775156,0.002426059,0.001289726,0.001226905,0.0004414509,0.0006522189,0.0021519],"category_scores_gemma":[0.00745452,0.000439559,0.0003185722,0.003251878,0.000681227,0.00181727,0.00155466,0.000638122,0.0004422417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382476,"about_ca_system_score_gemma":0.001380952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00818822,"about_ca_topic_score_gemma":0.01530859,"domain_scores_codex":[0.9983523,0.0008225769,0.0001816269,0.0001595386,0.0001598496,0.0003242026],"domain_scores_gemma":[0.9935194,0.003242324,0.001132668,0.0003681475,0.001186906,0.0005506846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001645284,0.0004953657,0.7931743,0.0001368294,0.00005062651,0.0001865349,0.1881144,0.0001943724,0.001617649,0.0007719066,0.0005398604,0.01455354],"study_design_scores_gemma":[0.0000200624,0.0004340436,0.5351188,0.00005686604,0.00004123625,0.00008411191,0.4584537,0.001050662,0.0007758864,0.0003769026,0.003551542,0.00003611441],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986564,0.000022478,0.0003524176,0.00004562903,0.000001405828,0.00005818081,0.0001259767,0.000001031372,0.0007365827],"genre_scores_gemma":[0.9965993,0.000100513,0.001001089,0.0001073634,0.000004716154,0.0004012762,0.0004038937,0.000002723764,0.001379208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00818822,"threshold_uncertainty_score":0.01907754,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2889438466","doi":"10.5539/ibr.v11n9p86","title":"Corporate Social Responsibility Disclosure and Firm Performance of Malaysian Public Listed Firms","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universiti Malaysia Sarawak","keywords":"Return on assets; Return on equity; Business; Corporate social responsibility; Accounting; Leverage (statistics); Market liquidity; Enterprise value; Control (management); Finance; Profitability index; Economics","authors":[{"name":"Mohd Waliuddin Mohd Razali","is_ca":false},{"name":"Winnie Hii Sin Sin","is_ca":false},{"name":"Janifer Lunyai","is_ca":false},{"name":"Josephine Yau Tan Hwang","is_ca":false},{"name":"Irma Yazreen Md Yusoff","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3679902339115874,"gpt":0.4674764973265738,"spread":0.09948626341498634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442442,0.0001281358,0.0001487318,0.0008640738,0.0002769119,0.001261763,0.0001913076,0.0003250337,0.001005696],"category_scores_gemma":[0.005178256,0.00007495479,0.0001818812,0.001029058,0.0003198323,0.0006382677,0.000595093,0.0004194303,0.0001595666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007339556,"about_ca_system_score_gemma":0.0005798924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006288594,"about_ca_topic_score_gemma":0.008760236,"domain_scores_codex":[0.9991115,0.0002396442,0.0001366178,0.00008244504,0.0002692517,0.0001604647],"domain_scores_gemma":[0.9836443,0.003006558,0.01103744,0.0003732182,0.001077255,0.0008613018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003666764,0.00008419473,0.9938644,0.00001780818,0.00003389951,0.0001117272,0.0005067489,0.000302732,0.0001290814,0.0001697096,0.0001941006,0.004549045],"study_design_scores_gemma":[0.000002267843,0.00007863052,0.9964071,0.00002721825,0.00001528217,0.00007762541,0.001552006,0.001014037,0.0002212426,0.0001198835,0.0004769666,0.000007755256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989028,0.0001470546,0.00002244171,0.0001565944,0.000002108207,0.00000188564,0.00007307082,0.000001106027,0.0006928698],"genre_scores_gemma":[0.9996707,0.00006415738,0.00001664421,0.000008550802,0.000004199708,8.672682e-7,0.00005859971,2.258485e-7,0.0001760851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006288594,"threshold_uncertainty_score":0.01250398,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046387398","doi":"10.5267/j.msl.2020.7.025","title":"Determinants of SMEs employees’ creativity and their impact on innovation at workplac","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Creativity; Business; Marketing; Knowledge management; Industrial organization; Business administration; Psychology; Computer science; Social psychology","authors":[{"name":"Sania Khan","is_ca":false},{"name":"Mohamed Mohiya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09726160480809663,"gpt":0.3659148934534266,"spread":0.2686532886453299,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00152909,0.0001420762,0.0001496959,0.0007931927,0.0004622139,0.001510735,0.0002527042,0.0004124353,0.002810869],"category_scores_gemma":[0.005834147,0.0001126221,0.0005000076,0.0005458962,0.0003482596,0.0003765512,0.0008012708,0.0004740052,0.0002790731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004876802,"about_ca_system_score_gemma":0.001139476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002544493,"about_ca_topic_score_gemma":0.003297653,"domain_scores_codex":[0.9987029,0.0003804022,0.0001528427,0.00009418888,0.0003682537,0.0003014225],"domain_scores_gemma":[0.9921997,0.003368753,0.001878766,0.0003824568,0.0008621172,0.001308231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005475699,0.0001904097,0.9846613,0.00003029187,0.00003566522,0.0002532206,0.001827477,0.0002163992,0.0004694747,0.0002644351,0.0001060495,0.01189057],"study_design_scores_gemma":[0.000002503149,0.00007291446,0.9965457,0.00002562643,0.00001377641,0.00009469394,0.00219277,0.0003639418,0.000187579,0.0001287513,0.0003661312,0.000005616552],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985666,0.00006567947,0.00007290098,0.00007759648,0.00000225039,0.000004858724,0.00001641231,0.000001400051,0.001192434],"genre_scores_gemma":[0.9996502,0.00003181834,0.00004884983,0.000007831753,0.000002806768,0.000003422455,0.00001544266,4.639844e-7,0.000239048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002810869,"threshold_uncertainty_score":0.009403288,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406089663","doi":"10.1109/mcom.001.2400458","title":"Secure Data Sharing and Prediction with Digital Twin and Blockchain in Healthcare","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation Singapore; Info-communications Media Development Authority; Canada Excellence Research Chairs, Government of Canada; DSO National Laboratories - Singapore; Ministry of Education - Singapore","keywords":"Blockchain; Computer science; Data sharing; Health care; Computer security; Computer network; Data science","authors":[{"name":"Yongyi Tang","is_ca":false},{"name":"Kunlun Wang","is_ca":false},{"name":"Dusit Niyato","is_ca":false},{"name":"Jie Li","is_ca":false},{"name":"Octavia A. Dobre","is_ca":true},{"name":"Trung Q. Duong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.151348297887354,"gpt":0.393654265398197,"spread":0.242305967510843,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004533705,0.0004070406,0.001041554,0.0007060947,0.001466856,0.001787117,0.001467111,0.001314419,0.001991797],"category_scores_gemma":[0.008159065,0.0003472494,0.0004948791,0.001464451,0.001888209,0.005196438,0.003265794,0.00139114,0.0003715779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371641,"about_ca_system_score_gemma":0.003249846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003844797,"about_ca_topic_score_gemma":0.002643798,"domain_scores_codex":[0.9958465,0.001675845,0.0003179359,0.0006351266,0.001099089,0.0004256378],"domain_scores_gemma":[0.9945095,0.002505418,0.0004756199,0.001489975,0.0006664647,0.0003529236],"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":[0.001298922,0.0002390991,0.004650135,0.0002719071,0.0001250394,0.001003877,0.001045222,0.5822936,0.01217069,0.2225254,0.002778533,0.1715975],"study_design_scores_gemma":[0.00005891968,0.0001355721,0.0002917216,0.00002608916,0.00001979779,0.0002151833,0.0001056443,0.8857049,0.005825828,0.1043644,0.003216117,0.00003582494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09963316,0.0008978821,0.8930534,0.001562719,0.0001196561,0.0001743009,0.0001633538,0.0004358038,0.003959751],"genre_scores_gemma":[0.9460785,0.0004116033,0.05153324,0.0001077667,0.00003753555,0.00007205268,0.00009780967,0.00001817716,0.001643183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004533705,"threshold_uncertainty_score":0.0239768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394912601","doi":"10.5267/j.ijdns.2024.3.002","title":"Enhancing estate governance using blockchain technology through risk management in estate governance of business sustainability","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Blockchain; Corporate governance; Business; Risk governance; Risk management; Sustainability; Estate; Real estate; Accounting; Finance; Computer security; Computer science","authors":[{"name":"Iqbal H. Jebril","is_ca":false},{"name":"Murad Ali Ahmad Al-Zaqeba","is_ca":false},{"name":"Haneen A. Al-Khawaja","is_ca":false},{"name":"Abdulbasit Lutfy A. Al Obaidy","is_ca":false},{"name":"Osama shokri Marashdah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.056676208965533,"gpt":0.3960177933707542,"spread":0.3393415844052212,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002996008,0.0003424596,0.0002840049,0.0009181394,0.0009341879,0.002877623,0.0005687241,0.0008675448,0.004869753],"category_scores_gemma":[0.007551818,0.0001971055,0.0003236132,0.001019318,0.001085206,0.005696365,0.003260617,0.0009729039,0.0006787356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086533,"about_ca_system_score_gemma":0.002753417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001568667,"about_ca_topic_score_gemma":0.002757445,"domain_scores_codex":[0.9983727,0.0008313066,0.00009255142,0.0001568658,0.0003903716,0.0001561791],"domain_scores_gemma":[0.9950029,0.002271043,0.0006746872,0.0007980266,0.0008335991,0.000419764],"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":[0.0003134326,0.0007712419,0.03329842,0.0007192941,0.0001221551,0.0009596224,0.003350165,0.1256841,0.02380881,0.3587946,0.005540806,0.4466372],"study_design_scores_gemma":[0.000117668,0.0004428634,0.008671833,0.0004903634,0.000148677,0.0005048669,0.002993699,0.4367571,0.02255484,0.4616396,0.06555272,0.0001257086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3556947,0.002026435,0.5545873,0.007295695,0.00023704,0.0004897042,0.0002040744,0.0009224584,0.07854259],"genre_scores_gemma":[0.9637225,0.0006216523,0.03150883,0.0001118781,0.00002435157,0.00008008442,0.00006811822,0.0000232523,0.003839315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004869753,"threshold_uncertainty_score":0.01629096,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406859359","doi":"10.1109/ipccc59868.2024.10850357","title":"Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators","year":2024,"lang":"en","type":"article","venue":"","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Cryptocurrency; Computer science; Economic forecasting; Economic indicator; Econometrics; Computer security; Economics; Macroeconomics","authors":[{"name":"Abdelatif Hafid","is_ca":false},{"name":"Maad Ebrahim","is_ca":true},{"name":"Mohamed Rahouti","is_ca":false},{"name":"Diogo Lösch de Oliveira","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2274006783636348,"gpt":0.4196858210048744,"spread":0.1922851426412396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185521,0.0007307536,0.0009088255,0.001097068,0.0003062224,0.00087644,0.0009641902,0.001029047,0.001217781],"category_scores_gemma":[0.00191601,0.0002785924,0.0005679465,0.000889001,0.0003713985,0.0008222822,0.0003645687,0.0009557569,0.0003426067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006577868,"about_ca_system_score_gemma":0.000882555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105834,"about_ca_topic_score_gemma":0.008531987,"domain_scores_codex":[0.9996715,0.00007753201,0.00002175934,0.00007873074,0.00009097381,0.00005952534],"domain_scores_gemma":[0.9992554,0.0003398715,0.0001323684,0.00004105764,0.0001809531,0.00005036363],"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":[0.0001848507,0.000269824,0.01034412,0.0000527814,0.00009806341,0.00007862456,0.00002305137,0.9031236,0.001653021,0.002136082,0.001032399,0.08100367],"study_design_scores_gemma":[0.000002653953,0.00001325845,0.0003587498,0.000002167951,0.00000309037,0.000003653506,0.000001568261,0.9991935,0.0001572907,0.0002031368,0.00005900477,0.000002021689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4433693,0.001085963,0.5479532,0.0007580299,0.0002393226,0.0001125535,0.0002440147,0.001277302,0.004960183],"genre_scores_gemma":[0.9583295,0.0001984381,0.03896988,0.0001036547,0.00005855083,0.00004446058,0.0001998917,0.00002392611,0.002071675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0105834,"threshold_uncertainty_score":0.0210436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394887038","doi":"10.5267/j.uscm.2024.4.013","title":"The effect of the comprehensive quality management strategies on environmentally responsible activities and the performance of the organizations","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Applied Science Private University","keywords":"Business; Quality (philosophy); Process management; Operations management; Environmental economics; Marketing; Economics","authors":[{"name":"Ahmad Hanandeh","is_ca":false},{"name":"Ayman Mansour","is_ca":false},{"name":"Sakher Najdawi","is_ca":false},{"name":"Omar Kanaan","is_ca":false},{"name":"Ghaith Abualfalayeh","is_ca":false},{"name":"Kilani Qais","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02495880385519115,"gpt":0.3149281115794182,"spread":0.289969307724227,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003464673,0.0002632401,0.0001884651,0.0006357784,0.0009020435,0.002425008,0.0003005716,0.0004500034,0.00285601],"category_scores_gemma":[0.007558982,0.00008551758,0.000250867,0.0006961228,0.0007354617,0.001124675,0.00155765,0.0004360641,0.0002775204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001537299,"about_ca_system_score_gemma":0.003910167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003506012,"about_ca_topic_score_gemma":0.007136607,"domain_scores_codex":[0.9965815,0.001512677,0.0001582676,0.0001989737,0.000990932,0.0005577393],"domain_scores_gemma":[0.9905591,0.002365874,0.002263787,0.0004477085,0.002596819,0.001766751],"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":[0.0005567865,0.003236673,0.395418,0.001006864,0.0005080146,0.0003359881,0.01427425,0.007380947,0.01046209,0.01898921,0.003777081,0.5440541],"study_design_scores_gemma":[0.00005576793,0.003024012,0.9386446,0.0005149833,0.0001863658,0.0001244866,0.02742109,0.002593875,0.004933455,0.005865645,0.01657195,0.0000637771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810725,0.0006174828,0.001053274,0.0008325304,0.00001883391,0.00005985964,0.0000273525,0.00001579267,0.01630236],"genre_scores_gemma":[0.9984659,0.000226702,0.0004213937,0.0000656808,0.000005252868,0.00001257836,0.00002007774,0.000002133376,0.0007803565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003506012,"threshold_uncertainty_score":0.01832312,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4360777968","doi":"10.5267/j.ijdns.2022.12.015","title":"Linking between cloud computing and productivity: The mediating role of information integration","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cloud computing; Productivity; Computer science; Sample (material); Information integration; Knowledge management; Data science; Information technology; Data mining; Economics; Operating system","authors":[{"name":"Tariq Khairo Issa Al Daabseh","is_ca":false},{"name":"Rasha Al Raqqad","is_ca":false},{"name":"Hamdah Samih Albayaydah","is_ca":false},{"name":"Rawan Enad Alqarallah","is_ca":false},{"name":"Ameen Alhtibat","is_ca":false},{"name":"Ebtehal Alzboun","is_ca":false},{"name":"Hamzeh Khaled Aldamen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1035206076135855,"gpt":0.3990587622548946,"spread":0.2955381546413091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004298471,0.0005903125,0.0003912781,0.002325042,0.001545472,0.004674551,0.0007704929,0.0007042583,0.005563529],"category_scores_gemma":[0.02795329,0.0003323399,0.0006737223,0.00283293,0.001740605,0.003198724,0.003987772,0.001287266,0.0002410137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859543,"about_ca_system_score_gemma":0.005076635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006573712,"about_ca_topic_score_gemma":0.003605191,"domain_scores_codex":[0.9943359,0.003292259,0.0002943825,0.0003950704,0.0008983533,0.0007839135],"domain_scores_gemma":[0.9451058,0.04152534,0.006282044,0.001388993,0.002594207,0.003103657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003280281,0.0009063392,0.8729753,0.0004672518,0.0004862892,0.001308367,0.02073659,0.001066245,0.001559254,0.03104681,0.0008074778,0.06831218],"study_design_scores_gemma":[0.00007655814,0.0006228103,0.8991125,0.00119947,0.0007931524,0.0008835843,0.05157616,0.006805694,0.002308947,0.02939543,0.007123303,0.0001024457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690184,0.00105272,0.004620765,0.003215669,0.00004715902,0.00008724878,0.0001156072,0.00003933181,0.02180321],"genre_scores_gemma":[0.9984667,0.0002524385,0.0008427037,0.00006409239,0.0000122852,0.00001560713,0.00001836691,0.000003684589,0.000324204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006573712,"threshold_uncertainty_score":0.02273279,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403184883","doi":"10.1080/2331186x.2024.2412492","title":"Exploring ChatGPT’s capabilities in solving accounting standards problems: the case of IAS 37","year":2024,"lang":"en","type":"article","venue":"Cogent Education","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Canadian Intensive Care Foundation","keywords":"Accounting; Psychology; Business","authors":[{"name":"Fábio Albuquerque","is_ca":false},{"name":"Paula Gomes dos Santos","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2401344037900175,"gpt":0.4076813742910712,"spread":0.1675469705010537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02749644,0.0006961249,0.000661357,0.001802257,0.002173162,0.004107321,0.001782125,0.001896041,0.003634852],"category_scores_gemma":[0.1131124,0.0004849464,0.0004541492,0.001333747,0.004242002,0.005735609,0.005793245,0.002305151,0.0006642513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001925877,"about_ca_system_score_gemma":0.001778104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261592,"about_ca_topic_score_gemma":0.003163882,"domain_scores_codex":[0.9709123,0.02512807,0.0006268008,0.001178052,0.001379123,0.000775429],"domain_scores_gemma":[0.8364906,0.1470837,0.004286979,0.00524475,0.004493156,0.002400831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005948404,0.001616732,0.02757168,0.001276449,0.00005583349,0.002231206,0.8767273,0.001539349,0.00823717,0.005426957,0.00221017,0.0725123],"study_design_scores_gemma":[0.0004820304,0.004301343,0.07338276,0.001368246,0.0002438437,0.00327925,0.8235641,0.01991628,0.008680901,0.01164701,0.05276836,0.0003659396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836708,0.0001202175,0.006818258,0.0006465938,0.00003727487,0.000402159,0.00007012139,0.0001419453,0.008092677],"genre_scores_gemma":[0.9840499,0.0001367944,0.01282279,0.0003610819,0.00003292013,0.0006515927,0.0000978032,0.00005966332,0.001787407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02749644,"threshold_uncertainty_score":0.1454168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4415444542","doi":"10.22329/jtl.v19i4.9849","title":"Systematic Review of the Impact of Artificial Intelligence in Higher Education","year":2025,"lang":"en","type":"article","venue":"Journal of Teaching and Learning","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"University Canada West","funders":"","keywords":"Higher education; Systematic review; The Internet; Exploratory research; Exploratory analysis","authors":[{"name":"Mariana Figueroa de la Fuente","is_ca":true},{"name":"Gelareh Farhadian","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09671621745813826,"gpt":0.4397633628375685,"spread":0.3430471453794303,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02785328,0.001644709,0.007047426,0.01510552,0.0008208319,0.003627777,0.002028561,0.002081141,0.005499407],"category_scores_gemma":[0.1271651,0.001061279,0.009180173,0.01395295,0.001495467,0.002856458,0.002142567,0.001791567,0.0004143963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005782741,"about_ca_system_score_gemma":0.02443603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01068198,"about_ca_topic_score_gemma":0.03494108,"domain_scores_codex":[0.9674982,0.01529299,0.01017591,0.001524402,0.004981169,0.0005273888],"domain_scores_gemma":[0.8690036,0.1068337,0.0128414,0.002302336,0.008187453,0.0008315038],"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":[0.0001710047,0.00001884673,0.0007004289,0.9481618,0.01407155,0.00007443086,0.000228975,0.0001316563,0.0001008466,0.0004361229,0.001493283,0.03441098],"study_design_scores_gemma":[0.000196582,0.0001840303,0.003332064,0.9136232,0.06234897,0.0001793943,0.0002942828,0.00008108065,0.0001949895,0.0006710601,0.0188609,0.00003355958],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001135672,0.9962232,0.0003988884,0.0005318543,0.0002142269,0.0004447236,0.0005900071,0.000009872282,0.0004514964],"genre_scores_gemma":[0.03209028,0.9624854,0.002020766,0.001271212,0.0001719419,0.001255136,0.0005148598,0.00001475605,0.0001756156],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02785328,"threshold_uncertainty_score":0.147304,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378965605","doi":"10.18280/jesa.560202","title":"Critical Factors of Supply Chain Based on Structural Equation Modelling for Industry 4.0","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Structural equation modeling; Supply chain; Business; Industrial organization; Computer science; Marketing","authors":[{"name":"Johanes Fernandes Andry","is_ca":false},{"name":"Hadiyanto Hadiyanto","is_ca":false},{"name":"Vincensius Gunawan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1855667587343275,"gpt":0.3869749052894022,"spread":0.2014081465550747,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005298357,0.001660509,0.00124745,0.004885313,0.001251307,0.002880019,0.001950348,0.001968144,0.01713198],"category_scores_gemma":[0.01401459,0.001041662,0.003441082,0.00452596,0.0009689507,0.002273396,0.0023338,0.002774349,0.001665811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003591945,"about_ca_system_score_gemma":0.005252043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190516,"about_ca_topic_score_gemma":0.0143449,"domain_scores_codex":[0.9954904,0.002891552,0.000244979,0.000473218,0.0005491931,0.0003506811],"domain_scores_gemma":[0.9906881,0.007217805,0.0008893258,0.0002063208,0.0008005176,0.0001980109],"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":[0.0008188522,0.001875732,0.1686102,0.001558573,0.002111531,0.00125709,0.007381688,0.5257633,0.002273655,0.1848191,0.0106471,0.0928831],"study_design_scores_gemma":[0.0001163956,0.000475308,0.01280553,0.0002920593,0.0003585333,0.0001144039,0.001155002,0.9444489,0.0003309131,0.03341623,0.006406408,0.0000803311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4013783,0.001073736,0.5647114,0.003143099,0.0003224993,0.002913231,0.004653933,0.001482077,0.02032165],"genre_scores_gemma":[0.8438801,0.000882066,0.1437136,0.0001414045,0.00007926007,0.002685256,0.003103335,0.000115304,0.005399649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02190516,"threshold_uncertainty_score":0.05731219,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4394610332","doi":"10.3390/jrfm17040150","title":"Perceived Risk and External Finance Usage in Small- and Medium-Sized Enterprises: Unveiling the Moderating Influence of Business Age","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Business; Small and medium-sized enterprises; Finance","authors":[{"name":"Nawal Abdalla Adam","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02899822461515517,"gpt":0.2935347897750049,"spread":0.2645365651598497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001912003,0.00021161,0.0002313774,0.0005908262,0.0003510716,0.001299429,0.0001807373,0.0003769022,0.001979852],"category_scores_gemma":[0.007805261,0.00009993013,0.000369286,0.0004213019,0.0003904613,0.0007423363,0.001073098,0.0006199929,0.0001547945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019402,"about_ca_system_score_gemma":0.0005447994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283393,"about_ca_topic_score_gemma":0.003820328,"domain_scores_codex":[0.9989058,0.0004714634,0.0001215368,0.00009937614,0.0002097398,0.0001921233],"domain_scores_gemma":[0.9885639,0.005192652,0.003753206,0.0003479049,0.0005641943,0.00157811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008460668,0.0001243304,0.9925032,0.00001767494,0.00004989081,0.0001006342,0.001592708,0.00007611352,0.0002154838,0.0002118935,0.00004811727,0.004975327],"study_design_scores_gemma":[0.000003032591,0.0001357377,0.9954801,0.00002702494,0.00002555071,0.0000646496,0.003089487,0.0004416899,0.0001694179,0.0001771147,0.0003789071,0.000007336103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991546,0.00008027007,0.00009931996,0.00007798286,0.000003391872,0.000004258931,0.00002129933,6.510562e-7,0.000558229],"genre_scores_gemma":[0.9997153,0.00003691253,0.00006217699,0.00001427441,0.000003139427,0.000003459748,0.00002110703,4.06808e-7,0.0001432446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002283393,"threshold_uncertainty_score":0.01011175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400009768","doi":"10.20944/preprints202406.1738.v1","title":"Unveiling Customer Perceptions: A Qualitative Study on the Role of Supply Chain Transparency in Brand Trust","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Transparency (behavior); Business; Perception; Supply chain; Marketing; Advertising; Qualitative research; Psychology; Computer science; Computer security; Sociology","authors":[{"name":"Samuel Holloway","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3167321926553923,"gpt":0.4771689882717468,"spread":0.1604367956163544,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01023756,0.000343482,0.0005045973,0.0009042805,0.006019067,0.00387498,0.0008199406,0.001733833,0.003490038],"category_scores_gemma":[0.01507248,0.0004841217,0.0002840537,0.001512655,0.004395486,0.004605133,0.003172162,0.002730764,0.0003856658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334757,"about_ca_system_score_gemma":0.002704397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006601038,"about_ca_topic_score_gemma":0.009661576,"domain_scores_codex":[0.9932794,0.004673206,0.0001707117,0.0003393687,0.0007695538,0.0007677388],"domain_scores_gemma":[0.9813044,0.01479781,0.0008282831,0.0003656115,0.001915969,0.000787848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004388325,0.00005579547,0.006250444,0.00009622754,0.000004671644,0.0007751777,0.9827429,0.00003836397,0.001679953,0.001229055,0.0006203885,0.006463136],"study_design_scores_gemma":[0.000003248555,0.00005570427,0.002637304,0.00007097544,0.000005166708,0.000237826,0.9883876,0.000204549,0.0006093313,0.0004289259,0.007338861,0.00002046581],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909126,0.000202652,0.002119515,0.002252227,0.00003042163,0.00007536379,0.0001025222,0.00001392222,0.004290739],"genre_scores_gemma":[0.9962069,0.0002283709,0.0007245364,0.0009685138,0.00001210933,0.00008178676,0.00004643411,0.00002364763,0.001707782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01023756,"threshold_uncertainty_score":0.05414206,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402067327","doi":"10.18280/ijsse.140424","title":"Heuristic Bias and Herding Behavior for Predicting Investor Decision in Cryptocurrency Trading","year":2024,"lang":"en","type":"article","venue":"International Journal of Safety and Security Engineering","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Herding; Cryptocurrency; Investment (military); Risk aversion (psychology); Investment decisions; Heuristic; Herd behavior; Actuarial science; Investment strategy; Econometrics; Economics; Business; Behavioral economics; Expected utility hypothesis; Financial economics; Microeconomics; Computer science; Computer security; Artificial intelligence; Geography","authors":[{"name":"Bambang Leo Handoko","is_ca":false},{"name":"Mohammad Hamsal","is_ca":false},{"name":"Arta Moro Sundjaja","is_ca":false},{"name":"Willy Gunadi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07278275377429841,"gpt":0.3629871069411912,"spread":0.2902043531668929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003528125,0.000262543,0.0004792593,0.001504126,0.0003120801,0.0009275718,0.000496069,0.001293673,0.0009981385],"category_scores_gemma":[0.02368961,0.0001925023,0.0003703102,0.0006348917,0.0004162937,0.0008893543,0.0003357769,0.0006560248,0.0001387984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219762,"about_ca_system_score_gemma":0.0004339908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00410573,"about_ca_topic_score_gemma":0.005812176,"domain_scores_codex":[0.999467,0.0002472227,0.00004904555,0.00007856914,0.00007651508,0.00008167452],"domain_scores_gemma":[0.9758375,0.02006152,0.001980167,0.0007631899,0.000573588,0.0007839481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008081017,0.0004305053,0.8797352,0.00003927933,0.0003798073,0.0001131841,0.0001348795,0.09858885,0.0007290711,0.001381946,0.0004909473,0.01716827],"study_design_scores_gemma":[0.00005207579,0.0003155758,0.1322459,0.0000194263,0.00007857026,0.0000844211,0.0001153172,0.8626509,0.0004792163,0.00382707,0.0001111412,0.00002034965],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979469,0.00007129072,0.001635886,0.00005405903,0.000006084206,0.000006926448,0.0000366814,0.00001071032,0.0002315428],"genre_scores_gemma":[0.999238,0.00001664841,0.0006053798,0.00001037108,0.000005571998,0.000002424801,0.00004579493,0.000001314286,0.00007445446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00410573,"threshold_uncertainty_score":0.0186587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400653592","doi":"10.5267/j.ijdns.2024.6.005","title":"The impact of cloud accounting on reducing creative accounting practices in commercial banks: The moderating role of internal audit","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Accounting; Business; Audit; Internal audit; Management accounting","authors":[{"name":"Aram Khalaf Nawaiseh","is_ca":false},{"name":"Abeer Fayez Al-Khoury","is_ca":false},{"name":"Noor Majid Saifan","is_ca":false},{"name":"Muhammad Turki Alshurideh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1180691758896899,"gpt":0.4605222261023948,"spread":0.3424530502127049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00500624,0.0004287159,0.0003893757,0.0008276394,0.001234757,0.002713967,0.0005008703,0.0005428168,0.003213711],"category_scores_gemma":[0.03996672,0.0001755952,0.0005252851,0.0009137209,0.00137902,0.001222168,0.002185714,0.001286194,0.0002006878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676262,"about_ca_system_score_gemma":0.006312599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006995211,"about_ca_topic_score_gemma":0.0110734,"domain_scores_codex":[0.9930211,0.003734952,0.0004624851,0.0004084158,0.001194463,0.001178645],"domain_scores_gemma":[0.9091764,0.04762985,0.0291401,0.00317313,0.004811632,0.006068839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007422022,0.001138113,0.9134187,0.0003130122,0.0002993488,0.0003327611,0.005078982,0.0007537719,0.001159775,0.002219973,0.0006635104,0.07387989],"study_design_scores_gemma":[0.0000564202,0.0006182371,0.9789559,0.0003412921,0.0003204287,0.0002020901,0.01035976,0.001474953,0.001812107,0.002088435,0.003732473,0.00003797881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953785,0.0005016208,0.0003893668,0.001014715,0.0000182829,0.00003267327,0.00003691561,0.00001161996,0.002616322],"genre_scores_gemma":[0.9990968,0.0001672859,0.0003209677,0.0001045252,0.00001300271,0.00001050985,0.00001389577,0.000002425084,0.0002705545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006995211,"threshold_uncertainty_score":0.02647585,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4229699189","doi":"10.17722/ijme.v7i2.269","title":"Flexible man-man motivation performance management system for Industry 4.0","year":2016,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Business; Industry 4.0; Process management; Industrial organization; Computer science; Knowledge management","authors":[{"name":"Felicita Chromjaková","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1016396959703285,"gpt":0.3592301947590074,"spread":0.2575904987886789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002019098,0.001147555,0.000937667,0.002362925,0.0007776138,0.001801148,0.001845227,0.0006234335,0.01062289],"category_scores_gemma":[0.002845546,0.0004208497,0.0004318694,0.001108385,0.0003022991,0.001609655,0.001763477,0.0009680396,0.003675289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038467,"about_ca_system_score_gemma":0.001155393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133386,"about_ca_topic_score_gemma":0.002128995,"domain_scores_codex":[0.99902,0.0001686472,0.00009006406,0.00024371,0.0003340766,0.0001435302],"domain_scores_gemma":[0.9986911,0.0001999811,0.0001397156,0.000307754,0.0003866275,0.0002747421],"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":[0.003728788,0.002643984,0.04013395,0.000540252,0.0004764066,0.0004954209,0.001254194,0.05354986,0.0334381,0.01194793,0.1183257,0.7334654],"study_design_scores_gemma":[0.0003895642,0.001254231,0.02536263,0.00008294569,0.0002460167,0.0002638098,0.0002750502,0.8670141,0.0378974,0.01139677,0.05550366,0.0003138775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1488248,0.0005978334,0.4376604,0.001037591,0.0004523464,0.001581839,0.005094333,0.3821376,0.02261325],"genre_scores_gemma":[0.8642443,0.000229645,0.1149874,0.0004121966,0.0001648551,0.0007726423,0.005566814,0.002329327,0.01129276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01062289,"threshold_uncertainty_score":0.03553712,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403511925","doi":"10.1109/iv64223.2024.00055","title":"An Explainable Artificial Intelligence Solution for the Practical Application of Employee Turnover","year":2024,"lang":"en","type":"article","venue":"","topic":"Impact of AI and Big Data on Business and Society","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":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Computer science; Artificial intelligence","authors":[{"name":"Carson K. Leung","is_ca":true},{"name":"Rayan Imran","is_ca":true},{"name":"Adam G.M. Pazdor","is_ca":true},{"name":"Joglas Souza","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2601582845376592,"gpt":0.4759976189482208,"spread":0.2158393344105617,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002542333,0.001058298,0.000348635,0.001256572,0.0008718519,0.0019587,0.002151222,0.002040529,0.00740377],"category_scores_gemma":[0.0148763,0.0005016029,0.001426815,0.0007257779,0.0008225823,0.002715976,0.002759111,0.002730276,0.001015085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008546554,"about_ca_system_score_gemma":0.001511334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002265582,"about_ca_topic_score_gemma":0.004721817,"domain_scores_codex":[0.9983976,0.0006004278,0.0001207888,0.0003675569,0.0004237392,0.00008979028],"domain_scores_gemma":[0.991349,0.006163326,0.0005711771,0.001013033,0.0007209785,0.0001824806],"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":[0.0004093355,0.0009263319,0.009706117,0.001638246,0.000309862,0.002505402,0.006695059,0.1497153,0.01854141,0.1262572,0.03269596,0.6505997],"study_design_scores_gemma":[0.00007592596,0.0001286256,0.001245166,0.0002122734,0.0001121547,0.0005932995,0.000769986,0.8405858,0.007294935,0.1083049,0.04061412,0.00006279505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0169869,0.0001829331,0.9665105,0.004349072,0.00007842715,0.0003232041,0.0006246506,0.006207685,0.004736443],"genre_scores_gemma":[0.1138273,0.0002190978,0.8810336,0.0004943161,0.00005747468,0.0002550403,0.001071538,0.0002655621,0.002776181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00740377,"threshold_uncertainty_score":0.02476805,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390989011","doi":"10.5267/j.ijdns.2023.12.006","title":"The role of good corporate governance and transformative big data analysis in improving company financial performance","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Accounting; Business; Structural equation modeling; Corporate governance; Accountability; Likert scale; Stock exchange; Big data; Finance; Data collection; Transformative learning; Computer science; Psychology; Data mining; Political science","authors":[{"name":"Engkus Engkus","is_ca":false},{"name":"Budiman Budiman","is_ca":false},{"name":"Fadjar Trisakti","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1158728496744652,"gpt":0.3576377121012099,"spread":0.2417648624267447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02336523,0.0005274736,0.0003416614,0.002933158,0.002314758,0.009639018,0.0005585907,0.001088504,0.001315782],"category_scores_gemma":[0.04203601,0.000364819,0.0004464269,0.00288346,0.006879639,0.006773818,0.004558327,0.001772656,0.0002748103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281746,"about_ca_system_score_gemma":0.007701399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002221841,"about_ca_topic_score_gemma":0.003217096,"domain_scores_codex":[0.9777921,0.01461095,0.001018913,0.001139986,0.003882562,0.001555455],"domain_scores_gemma":[0.9171646,0.04755513,0.01634506,0.004383474,0.006898293,0.007653581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001450056,0.0008867043,0.4834612,0.001853639,0.000456681,0.0009411265,0.02265998,0.007435249,0.003237902,0.1808462,0.0102321,0.2878442],"study_design_scores_gemma":[0.0001218252,0.001023886,0.6228849,0.004032888,0.000386457,0.001048417,0.03752235,0.01435871,0.005176637,0.2430153,0.07006675,0.0003618778],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6745262,0.007251095,0.06357789,0.05149102,0.0004029884,0.000940347,0.0002561287,0.0003596057,0.2011947],"genre_scores_gemma":[0.9910874,0.0008816522,0.006847595,0.000565641,0.00007514805,0.00007092092,0.00002668279,0.00001501203,0.0004299968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02336523,"threshold_uncertainty_score":0.1235686,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4365133546","doi":"10.18374/jabe-23-1.8","title":"TECHNOLOGICAL ENTREPRENEURSHIP","year":2023,"lang":"en","type":"article","venue":"Journal of Academy of Business and Economics","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Entrepreneurship; Exploratory research; Business; Technological change; Marketing; Sociology; Economics; Social science","authors":[{"name":"Yan Castonguay","is_ca":false},{"name":"Rhizlane Hamouti","is_ca":false},{"name":"Samuel Durand","is_ca":false},{"name":"Alex Cayrol","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1831432100848983,"gpt":0.3588506484497924,"spread":0.1757074383648941,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002894775,0.0001925215,0.0002291464,0.001648695,0.004105133,0.006222427,0.0005627311,0.0007942822,0.01018901],"category_scores_gemma":[0.006346326,0.000125208,0.0002172804,0.001322126,0.003704578,0.002506024,0.003657062,0.0009111558,0.00100354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002825605,"about_ca_system_score_gemma":0.008140421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00611758,"about_ca_topic_score_gemma":0.01264104,"domain_scores_codex":[0.9974852,0.001089703,0.00007288394,0.0002184637,0.0004642686,0.0006695833],"domain_scores_gemma":[0.9939253,0.002663203,0.0004954121,0.0004663529,0.0008705489,0.001579323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004559136,0.0003500647,0.06597801,0.000310584,0.0000380498,0.002714485,0.06151956,0.0007337797,0.001066361,0.6726322,0.01566687,0.1789445],"study_design_scores_gemma":[0.0000194454,0.0001551369,0.04374759,0.001060725,0.0000247893,0.002291608,0.1557969,0.001580466,0.0009729045,0.1129421,0.6813742,0.0000341577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3309629,0.002487132,0.008617773,0.01281093,0.0002849271,0.0004336223,0.0002296399,0.00005705059,0.644116],"genre_scores_gemma":[0.9732642,0.0008773339,0.00144817,0.0004955868,0.00003329718,0.00008500204,0.00004160302,0.000006186675,0.02374873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01018901,"threshold_uncertainty_score":0.03408557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399200469","doi":"10.5194/isprs-archives-xlviii-4-w10-2024-147-2024","title":"Conceptualising an Urban Digital Twin Framework for Simulating the Impact of Household Consumption Choices on the Carbon Footprint of Urban Neighborhoods","year":2024,"lang":"en","type":"article","venue":"The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","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":"Carbon footprint; Footprint; Consumption (sociology); Twin cities; Environmental economics; Natural resource economics; Business; Geography; Economics; Sociology; Greenhouse gas; Social science; Archaeology","authors":[{"name":"Rushikesh Padsala","is_ca":true},{"name":"Thunyathep Santhanavanich","is_ca":false},{"name":"Ursula Eicker","is_ca":true},{"name":"Volker Coors","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07258616970552133,"gpt":0.3449883360064925,"spread":0.2724021663009711,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009663748,0.0005439047,0.0004901974,0.000962395,0.0005901595,0.002309023,0.001610893,0.001114441,0.0035731],"category_scores_gemma":[0.003349438,0.0005173531,0.000970735,0.001254689,0.001297946,0.002591372,0.002241173,0.000909949,0.0002984725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775251,"about_ca_system_score_gemma":0.001276579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0383196,"about_ca_topic_score_gemma":0.03628314,"domain_scores_codex":[0.9996232,0.0001607859,0.00002155384,0.000079005,0.00006926511,0.00004621833],"domain_scores_gemma":[0.9993606,0.0002663163,0.00006152115,0.000101159,0.000118459,0.00009196291],"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":[0.00001825862,0.00001912818,0.002062829,0.00002115617,0.0000202876,0.00004597494,0.00007800653,0.9673212,0.000258407,0.02685036,0.0002358419,0.003068507],"study_design_scores_gemma":[0.000003202988,0.000006610208,0.0002174121,0.00000685703,0.000005333328,0.000008887292,0.00005535018,0.9899701,0.0001199609,0.008464796,0.001135327,0.000006178726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1846981,0.0003897178,0.7921262,0.0008947738,0.0001538081,0.0001563668,0.001885436,0.0005766251,0.01911895],"genre_scores_gemma":[0.8348956,0.0003591313,0.1594974,0.0001089227,0.00003024702,0.0001784344,0.001023595,0.0001403605,0.003766278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0383196,"threshold_uncertainty_score":0.07619309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4312265008","doi":"10.2139/ssrn.4260700","title":"AI, Skill, and Productivity: The Case of Taxi Drivers","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Productivity; Context (archaeology); Labour economics; Business; Demographic economics; Engineering; Operations management; Marketing; Economics; Geography; Economic growth","authors":[{"name":"Kyogo Kanazawa","is_ca":false},{"name":"Daiji Kawaguchi","is_ca":false},{"name":"Hitoshi Shigeoka","is_ca":true},{"name":"Yasutora Watanabe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03346254354196604,"gpt":0.3297580683376328,"spread":0.2962955247956667,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001670876,0.000279578,0.000418856,0.001309197,0.002259903,0.003497225,0.0008383823,0.001702671,0.01345129],"category_scores_gemma":[0.008823891,0.0001897031,0.0003522955,0.00223304,0.001646217,0.002780478,0.001632139,0.002293216,0.0006795226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238373,"about_ca_system_score_gemma":0.001870344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1107533,"about_ca_topic_score_gemma":0.1179566,"domain_scores_codex":[0.999453,0.0001853497,0.00001266944,0.00004131863,0.0000481437,0.0002595028],"domain_scores_gemma":[0.9919879,0.004723293,0.0006735995,0.0002668689,0.0006685469,0.001679868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001109638,0.001295444,0.7504321,0.0001684236,0.0002985463,0.006179169,0.01734836,0.02071904,0.0004862183,0.1333308,0.01639154,0.05224082],"study_design_scores_gemma":[0.0003451062,0.0005598523,0.4237014,0.0002748979,0.0003550658,0.00239259,0.210949,0.1038946,0.0009649922,0.2110582,0.04526302,0.0002412643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629529,0.0004708036,0.001068431,0.007343199,0.00003539141,0.00002293814,0.0002817249,0.000009593554,0.02781505],"genre_scores_gemma":[0.9966347,0.0002524559,0.0001585397,0.00009365631,0.00001553858,0.000005523701,0.00005477865,0.000003028526,0.002781915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1107533,"threshold_uncertainty_score":0.2202172,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399727044","doi":"10.2139/ssrn.4859331","title":"AI and the Metaverse in The Workplace: DEI Opportunities and Challenges","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Metaverse; Sociology; Geography; Computer science; Human–computer interaction; Virtual reality","authors":[{"name":"Marco Marabelli","is_ca":false},{"name":"Pamela Lirio","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1477290470029827,"gpt":0.3541315692025641,"spread":0.2064025221995814,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03921839,0.0006515287,0.001284525,0.005402124,0.009562443,0.04074587,0.004845437,0.00901393,0.02625468],"category_scores_gemma":[0.0329292,0.0005784371,0.0008005686,0.007105539,0.01695031,0.06087108,0.02070567,0.01071429,0.006144005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007134881,"about_ca_system_score_gemma":0.01477238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005157034,"about_ca_topic_score_gemma":0.006167957,"domain_scores_codex":[0.986288,0.00791329,0.000557996,0.001113028,0.002478441,0.001649202],"domain_scores_gemma":[0.9296764,0.03779146,0.003105766,0.00853967,0.008755224,0.01213141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009592118,0.0001954054,0.003627461,0.0003397369,0.0000302678,0.0001443869,0.005420607,0.0004090189,0.0003268614,0.8724601,0.02536222,0.09158804],"study_design_scores_gemma":[0.00002189456,0.00007326892,0.001137645,0.0009337498,0.00001596566,0.0002392611,0.03000501,0.003063112,0.0005259545,0.7545795,0.2093527,0.00005176127],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03039772,0.0452459,0.03030924,0.567414,0.003536354,0.00008380588,0.0004102806,0.0004453821,0.3221574],"genre_scores_gemma":[0.8391147,0.03772184,0.03608115,0.03561547,0.005816208,0.0004011706,0.0006066906,0.0005248179,0.04411804],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04074587,"threshold_uncertainty_score":0.2074092,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400473201","doi":"10.5267/j.uscm.2024.5.017","title":"Unveiling the impact of CEO characteristics and technological factors on management accounting information system use","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Accounting; Business; Accounting information system; Management accounting","authors":[{"name":"Ishraq Bataineh","is_ca":false},{"name":"Abdalwali Lutfi","is_ca":false},{"name":"Hamza Alqudah","is_ca":false},{"name":"Thamir Al Barrak","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05992498435978887,"gpt":0.3245871957527739,"spread":0.264662211392985,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003788795,0.0001575492,0.0001980021,0.00113174,0.0004128969,0.001765711,0.0002005669,0.0003329066,0.001814105],"category_scores_gemma":[0.01980392,0.0001237849,0.0002300292,0.001132864,0.0004477328,0.001100193,0.0006712954,0.0003960661,0.000180986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007146574,"about_ca_system_score_gemma":0.001613511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003415555,"about_ca_topic_score_gemma":0.00739252,"domain_scores_codex":[0.9973872,0.001156504,0.000266934,0.0001824788,0.0006739342,0.0003329697],"domain_scores_gemma":[0.954599,0.02481896,0.0138183,0.0008911201,0.003339408,0.00253337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005062418,0.00007052199,0.990652,0.00001722575,0.00002743421,0.00007483467,0.0008846309,0.0002042619,0.0002087882,0.0001302608,0.00005575611,0.007623698],"study_design_scores_gemma":[0.000003187892,0.0001066614,0.9947727,0.00001283344,0.00001992214,0.00005028048,0.003515276,0.0008161585,0.0002586482,0.00008847521,0.0003491452,0.000006684987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991386,0.00007031654,0.00008984243,0.00009371922,0.000001530163,0.000003773194,0.00001526946,0.000001052403,0.0005858138],"genre_scores_gemma":[0.9997421,0.00003424988,0.00008291005,0.00001291912,0.000003127507,0.000001836949,0.00001784494,6.138033e-7,0.0001044971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003788795,"threshold_uncertainty_score":0.02003735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402192137","doi":"10.1049/smc2.12091","title":"Guest Editorial: Smart cities 2.0: How Artificial Intelligence and Internet of Things are transforming urban living","year":2024,"lang":"en","type":"editorial","venue":"IET Smart Cities","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Internet of Things; The Internet; Smart city; Internet privacy; Computer science; World Wide Web","authors":[{"name":"Zhengyi Chai","is_ca":false},{"name":"Syed Attique Shah","is_ca":false},{"name":"Dirk Draheim","is_ca":false},{"name":"Sufian Hameed","is_ca":false},{"name":"M. Mazhar Rathore","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06909606692749136,"gpt":0.3213605458337003,"spread":0.252264478906209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00537733,0.003449004,0.002937941,0.002523104,0.002519952,0.01153853,0.003568588,0.01355798,0.0251504],"category_scores_gemma":[0.01582655,0.001013921,0.002931939,0.001204581,0.002624194,0.00612988,0.00222563,0.01783128,0.01848738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002311684,"about_ca_system_score_gemma":0.00279361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007299456,"about_ca_topic_score_gemma":0.001624133,"domain_scores_codex":[0.9949544,0.0006964123,0.0004249468,0.0009968457,0.00243537,0.0004919961],"domain_scores_gemma":[0.9849468,0.005263981,0.001006975,0.0004077642,0.005197363,0.003177058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004137668,0.00001751831,0.00003800738,0.0001966187,0.00001272504,0.00008294736,0.00002483113,0.0000315964,0.000103685,0.0003382626,0.9947925,0.004319896],"study_design_scores_gemma":[0.00005002412,0.00005625086,0.0002450864,0.0003824533,0.00003136089,0.0002161346,0.00009217241,0.0001528089,0.0001872059,0.0009575391,0.9976047,0.00002412449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007683205,0.004055528,0.0001480972,0.04071233,0.9531741,0.00001844938,0.00006763652,0.00008046065,0.001666531],"genre_scores_gemma":[0.0005046052,0.003806518,0.000070849,0.01642695,0.97284,0.00001522358,0.0000347773,0.00005564901,0.006245499],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0251504,"threshold_uncertainty_score":0.08413643,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283756814","doi":"10.37335/ijek.v10i1.140","title":"DEVELOPMENT OF INITIATED BANKRUPTCIES IN SLOVAKIA AND THE CZECH REPUBLIC","year":2022,"lang":"en","type":"article","venue":"International Journal of Entrepreneurial Knowledge","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Czech; Bankruptcy; Quarter (Canadian coin); Insolvency; Business; Coronavirus disease 2019 (COVID-19); Accounting; Geography; Finance; Disease; Medicine","authors":[{"name":"Martin Bič","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1473663510661304,"gpt":0.4012176482488589,"spread":0.2538512971827285,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002121602,0.0002038405,0.0003077701,0.004135939,0.0007629403,0.003477725,0.000362344,0.0003088276,0.001670942],"category_scores_gemma":[0.004231557,0.0002092285,0.0006002305,0.002709786,0.00100073,0.0008845756,0.002007236,0.0006879088,0.0001501579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002731029,"about_ca_system_score_gemma":0.004901418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04359151,"about_ca_topic_score_gemma":0.05778529,"domain_scores_codex":[0.9987025,0.0002131929,0.0002391006,0.0001717166,0.0002891035,0.0003843966],"domain_scores_gemma":[0.9957727,0.0004391996,0.002079607,0.0001831338,0.0007390301,0.0007862989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003181396,0.0001145271,0.9532183,0.0002620232,0.0001527113,0.001137986,0.003063967,0.00140175,0.000689299,0.003018827,0.001997248,0.03462516],"study_design_scores_gemma":[0.000005629401,0.00002633355,0.9934808,0.0001285788,0.00002248985,0.0002110412,0.003200153,0.0002757314,0.0001681713,0.0001324947,0.002333107,0.00001554284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925274,0.001005033,0.0001845895,0.0002934496,0.00001861552,0.00003440612,0.0007501597,0.00001196252,0.005174547],"genre_scores_gemma":[0.9985335,0.0004056455,0.00009513036,0.00003384726,0.000003102126,0.000009868364,0.0003691029,0.000003651198,0.000546123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04359151,"threshold_uncertainty_score":0.08667552,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4408781934","doi":"10.36227/techrxiv.174285174.49544231/v1","title":"Is DeepSeek-R1 a Game Changer in Healthcare? - A Seed Review","year":2025,"lang":"en","type":"review","venue":"","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Health care; Business; Computer science; Psychology; Economics; Economic growth","authors":[{"name":"Jan Egger","is_ca":true},{"name":"Lisle Faray de Paiva","is_ca":true},{"name":"Gijs Luijten","is_ca":true},{"name":"Chayakrit Krittanawong","is_ca":false},{"name":"Julius Keyl","is_ca":true},{"name":"Malik Sallam","is_ca":false},{"name":"Behrus Puladi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3796058268493716,"gpt":0.531729017163907,"spread":0.1521231903145354,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002650965,0.0008024498,0.001381062,0.002287337,0.0003793772,0.002240335,0.001258493,0.002031128,0.00392525],"category_scores_gemma":[0.00935741,0.0003493993,0.001176889,0.003538671,0.001050951,0.002612022,0.0009907485,0.002341983,0.00135001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720003,"about_ca_system_score_gemma":0.004726597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002661586,"about_ca_topic_score_gemma":0.00424477,"domain_scores_codex":[0.9990822,0.0003650895,0.0001333031,0.0001367211,0.0002188398,0.0000639643],"domain_scores_gemma":[0.9922549,0.006565356,0.0003246662,0.0001119696,0.0005892742,0.0001538623],"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":[0.00008063206,0.00006373681,0.000297125,0.07151558,0.0003038391,0.00009033808,0.0002173269,0.001045444,0.00023045,0.02532075,0.02187956,0.8789551],"study_design_scores_gemma":[0.00004230278,0.0002052391,0.001051167,0.05652026,0.0005517956,0.0004146201,0.00029284,0.0004764719,0.0003234532,0.0167956,0.9232731,0.00005292242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00009454833,0.9973238,0.0003010077,0.001066294,0.0001556574,0.000009032475,0.00001752699,0.000006191481,0.001025895],"genre_scores_gemma":[0.001872254,0.9966473,0.0004434372,0.0006406502,0.0001459598,0.00001656889,0.00002473405,0.000003653766,0.0002054372],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00392525,"threshold_uncertainty_score":0.01401979,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4411721332","doi":"10.1111/jpim.12795","title":"An Empirical Study of <scp>AI</scp> Financial Advisor Adoption Through Technology Vulnerabilities in the Financial Context","year":2025,"lang":"en","type":"article","venue":"Journal of Product Innovation Management","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Business; Context (archaeology); Empirical research; Marketing; Finance","authors":[{"name":"Z. M. Wang","is_ca":false},{"name":"Ruizhi Yuan","is_ca":false},{"name":"Boying Li","is_ca":false},{"name":"V. Kumar","is_ca":true},{"name":"Ajay Kumar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0885333608572236,"gpt":0.4140716175463306,"spread":0.325538256689107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003211799,0.0001466298,0.0001872219,0.001171768,0.001358595,0.002106616,0.0004516381,0.0006020442,0.003430145],"category_scores_gemma":[0.01399926,0.0002633407,0.0002595526,0.001649419,0.001313104,0.002160257,0.001617239,0.001268939,0.0002139655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197321,"about_ca_system_score_gemma":0.001724403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009148561,"about_ca_topic_score_gemma":0.01143633,"domain_scores_codex":[0.9983426,0.0007756099,0.0001353969,0.0001561571,0.0003421029,0.0002480474],"domain_scores_gemma":[0.9759556,0.01346132,0.006982473,0.0007197822,0.001398552,0.001482285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009209503,0.001207477,0.9352526,0.0001038324,0.0000319488,0.0003975977,0.04274546,0.0001668212,0.0005322038,0.002421113,0.0004073406,0.01664148],"study_design_scores_gemma":[0.00001340634,0.0002881445,0.9071447,0.00009667136,0.0000270033,0.0001895886,0.08845158,0.001210396,0.0003844843,0.0004676244,0.001704338,0.00002223581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993188,0.00001446002,0.00003445164,0.00005120792,5.705105e-7,0.000009865404,0.0000127305,4.717742e-7,0.0005573539],"genre_scores_gemma":[0.9996982,0.00003966816,0.00009492032,0.00002281954,0.000001237793,0.00001613152,0.00001868825,5.37624e-7,0.0001080062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009148561,"threshold_uncertainty_score":0.01819062,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4318575753","doi":"10.2139/ssrn.4331145","title":"The Effect of Interpretable Artificial Intelligence on Repeated Managerial Decision-Making Under Uncertainty","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Quest University Canada","funders":"","keywords":"Artificial intelligence; Machine learning; Computer science; Econometrics; Management science; Psychology; Mathematics; Economics","authors":[{"name":"Onur Altıntaş","is_ca":false},{"name":"Abraham Seidmann","is_ca":true},{"name":"Bin Gu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04081437153246571,"gpt":0.3715124688938521,"spread":0.3306980973613864,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01906,0.0005925733,0.00128745,0.0009496422,0.0009801241,0.00377701,0.001244128,0.002685346,0.007055843],"category_scores_gemma":[0.2393379,0.0006609666,0.0008549898,0.0009976355,0.003498612,0.003866001,0.001854429,0.003932405,0.0003200287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001874315,"about_ca_system_score_gemma":0.001861948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004449066,"about_ca_topic_score_gemma":0.003408409,"domain_scores_codex":[0.9864542,0.009911038,0.0004938238,0.001003959,0.001323593,0.0008134145],"domain_scores_gemma":[0.410362,0.5565901,0.01571803,0.01155205,0.003667559,0.00211021],"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":[0.01149728,0.005424571,0.1290469,0.000947897,0.00136266,0.001517073,0.007212087,0.5205982,0.009399986,0.1679476,0.002913809,0.1421319],"study_design_scores_gemma":[0.0005570406,0.001872857,0.0917035,0.0001225114,0.0004465607,0.0002548679,0.001958672,0.4891192,0.002221063,0.4101224,0.00140628,0.0002150846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676632,0.0004399334,0.0174573,0.002487342,0.00009820132,0.00007178905,0.00009002921,0.0001038987,0.01158836],"genre_scores_gemma":[0.9960892,0.0001043971,0.002899687,0.0001576934,0.00007305851,0.00002605613,0.00002870477,0.00001961591,0.0006014979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01906,"threshold_uncertainty_score":0.1008001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321391272","doi":"10.5281/zenodo.7655579","title":"Blockchain Factors for Consumer Acceptance","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"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":"Blockchain; Business; Computer science; Computer security","authors":[{"name":"Joe Abou Jaoude","is_ca":true},{"name":"Raafat George Saadé","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1964584095061066,"gpt":0.3610222572091809,"spread":0.1645638477030743,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003456668,0.000236793,0.0002250148,0.001066328,0.00050945,0.001705167,0.0002223354,0.0007250962,0.01459488],"category_scores_gemma":[0.01914577,0.0001311098,0.0006034353,0.0007691559,0.001062849,0.00120272,0.0008036803,0.0008926581,0.0006295434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006388729,"about_ca_system_score_gemma":0.0008412051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085799,"about_ca_topic_score_gemma":0.001493033,"domain_scores_codex":[0.9973464,0.001163639,0.0001450231,0.0001473951,0.0009766973,0.0002207368],"domain_scores_gemma":[0.9608068,0.02675097,0.005058088,0.001280109,0.003986658,0.002117395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000355943,0.0007067739,0.9481397,0.0001296818,0.00009599876,0.000277663,0.01050709,0.0003013572,0.001295036,0.003727698,0.000598877,0.03386413],"study_design_scores_gemma":[0.00002257214,0.000543971,0.9767468,0.00007646353,0.0000734463,0.0003504091,0.0129613,0.002754687,0.0007022221,0.002594358,0.003125643,0.00004805714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990806,0.00008803321,0.0008238149,0.0003818425,0.000007647272,0.00005379392,0.00004932365,0.00001155751,0.007778011],"genre_scores_gemma":[0.9993938,0.00003102568,0.0001548541,0.00002491933,0.000004903136,0.00001469841,0.00002438492,0.000002622283,0.0003487909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01459488,"threshold_uncertainty_score":0.04882473,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404835266","doi":"10.1016/j.procs.2024.09.259","title":"The Effects of Artificial Intelligence on the Future of Employment: Looking for a Trend from a Literature Review","year":2024,"lang":"en","type":"review","venue":"Procedia Computer Science","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Computer science; Artificial intelligence; Data science","authors":[{"name":"Hicham Sadok","is_ca":false},{"name":"Hasna Chaibi","is_ca":false},{"name":"Abdellah Chehri","is_ca":true},{"name":"Rachid Saadane","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1052119510142599,"gpt":0.4129905474590257,"spread":0.3077785964447658,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002643006,0.0005642424,0.001243212,0.007374187,0.000593138,0.002496005,0.0007725618,0.001912398,0.00220071],"category_scores_gemma":[0.006836817,0.0005359225,0.0007983266,0.01075541,0.001217429,0.004760971,0.0008846675,0.002184005,0.0005899466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00259773,"about_ca_system_score_gemma":0.005689556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877162,"about_ca_topic_score_gemma":0.008975435,"domain_scores_codex":[0.9988701,0.0003441203,0.0001674043,0.0001651643,0.0003888776,0.00006425743],"domain_scores_gemma":[0.9924216,0.005425593,0.0006258726,0.00008379004,0.001274502,0.0001687219],"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":[0.00009335815,0.00005620697,0.001282795,0.09496012,0.0003642096,0.0002412127,0.0008104389,0.0008346529,0.0004696967,0.03743835,0.0311174,0.8323316],"study_design_scores_gemma":[0.00002216279,0.0001180813,0.006197695,0.1328318,0.0007096539,0.0008923378,0.002087462,0.0004558698,0.0003553037,0.0185495,0.8377133,0.00006691244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001709341,0.9973379,0.00008163705,0.001745231,0.0001417859,0.000002308247,0.00001060377,0.000001718789,0.000507857],"genre_scores_gemma":[0.001670068,0.9975557,0.00009514421,0.0004441541,0.0001447287,0.000004009684,0.00001043267,0.000001040557,0.00007464999],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007374187,"threshold_uncertainty_score":0.01884794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2302088999","doi":"10.18438/b84w67","title":"Open Access Papers Have a Greater Citation Advantage in the Author-Pays Model Compared to Toll Access Papers in Springer and Elsevier Open Access Journals","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; World Wide Web; Toll; Open access journal; Scientometrics; Scopus; Political science; MEDLINE; Medicine; Law","authors":[{"name":"Elaine Sullo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2741753863907279,"gpt":0.4859686420379213,"spread":0.2117932556471934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01176357,0.0006123465,0.00103802,0.008964926,0.001447539,0.01144045,0.001113432,0.002097984,0.01388683],"category_scores_gemma":[0.031826,0.0003526772,0.002144476,0.0166753,0.002328006,0.01032547,0.001882283,0.00150826,0.002601788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003995535,"about_ca_system_score_gemma":0.002103166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006157154,"about_ca_topic_score_gemma":0.00488997,"domain_scores_codex":[0.9926397,0.002274938,0.000645861,0.001153884,0.00243605,0.000849604],"domain_scores_gemma":[0.9566287,0.0256464,0.008456105,0.002047588,0.005508643,0.001712623],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007269982,0.0005773844,0.2937552,0.002953361,0.001740138,0.00100176,0.003773355,0.008721415,0.001422779,0.4508924,0.02605053,0.2083847],"study_design_scores_gemma":[0.0002319893,0.0006848644,0.4144476,0.002098779,0.001841949,0.002484193,0.009296314,0.03160672,0.002440652,0.3950004,0.1394636,0.0004028666],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6564358,0.08697116,0.04019452,0.02719356,0.001685217,0.0002810482,0.003191752,0.0004005561,0.1836465],"genre_scores_gemma":[0.9784194,0.01044956,0.002207847,0.0005931853,0.0006244074,0.00005141873,0.0005437767,0.00006799297,0.007042526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9910351,"threshold_uncertainty_score":0.06221247,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020389649","doi":"10.1186/1744-8069-4-53","title":"Z factor: A New Index for Measuring Academic Research Output","year":2008,"lang":"en","type":"editorial","venue":"Molecular Pain","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Index (typography); Psychology; Medicine; Computer science; World Wide Web","authors":[{"name":"Min Zhuo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3895318604265013,"gpt":0.4772685152634354,"spread":0.08773665483693405,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01572011,0.003868908,0.003558008,0.007456478,0.001509972,0.007910382,0.005343408,0.01270394,0.003451315],"category_scores_gemma":[0.06706834,0.001051815,0.002532632,0.003975637,0.007230871,0.007924645,0.002158546,0.02910591,0.004173795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003863162,"about_ca_system_score_gemma":0.003235233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927986,"about_ca_topic_score_gemma":0.002859433,"domain_scores_codex":[0.9889039,0.003151853,0.002341477,0.001117188,0.004196247,0.0002892469],"domain_scores_gemma":[0.9455734,0.0339571,0.002205352,0.001042981,0.01549436,0.001726867],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009289724,0.00001817975,0.0002010614,0.0008399368,0.0001155151,0.0001439881,0.00006898771,0.0001121792,0.0001518745,0.003495515,0.9608472,0.03391286],"study_design_scores_gemma":[0.0001303347,0.00006894868,0.0009195147,0.0009377436,0.0001606807,0.0005247493,0.00009991261,0.0006770017,0.0003804117,0.008496976,0.9875088,0.00009486901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001285258,0.04360459,0.004212664,0.1061255,0.8438919,0.00007092807,0.000242572,0.0001459471,0.001577333],"genre_scores_gemma":[0.002355404,0.05183506,0.004377319,0.0654837,0.8678835,0.0002208633,0.0001716891,0.0001590765,0.007513352],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9925435,"threshold_uncertainty_score":0.08313692,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2530208548","doi":"","title":"Consumers’ Attitude toward Insurance Companies: A Sentiment Analysis of Online Consumer Reviews","year":2016,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Sentiment analysis; Business; Advertising; Internet privacy; Computer science; Marketing; Artificial intelligence","authors":[{"name":"Maryam Ghasemaghaei","is_ca":true},{"name":"Seyed Pouyan Eslami","is_ca":true},{"name":"Ken Deal","is_ca":true},{"name":"Khaled Hassanein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.217855048845403,"gpt":0.4041449615070218,"spread":0.1862899126616188,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008517933,0.0001391061,0.0001881934,0.001120335,0.0004050199,0.0008241333,0.00009876837,0.0003279193,0.00165188],"category_scores_gemma":[0.005715633,0.00008043164,0.0002783084,0.001044656,0.0001730902,0.0006088173,0.000311592,0.0003338187,0.0003482171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564356,"about_ca_system_score_gemma":0.0001838107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845166,"about_ca_topic_score_gemma":0.006310862,"domain_scores_codex":[0.9994569,0.0001781748,0.00003892332,0.00004842414,0.0002252338,0.0000522753],"domain_scores_gemma":[0.9938948,0.002576826,0.001428789,0.0001066157,0.001742761,0.0002503006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009948371,0.0003032069,0.9374397,0.000216888,0.0002638841,0.0002773166,0.007970665,0.0002603634,0.008900148,0.0002943034,0.005282233,0.03779637],"study_design_scores_gemma":[0.000008301877,0.0001143499,0.9911295,0.00002365278,0.00007579962,0.0001026191,0.00376984,0.001212986,0.0007674567,0.00004760114,0.002734537,0.00001333343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973959,0.00006916187,0.00007557512,0.0001101028,0.000009063459,0.00001044589,0.0002444504,0.000003706145,0.00208157],"genre_scores_gemma":[0.9984994,0.00007254904,0.0001432229,0.00006730229,0.00002526755,0.00001372681,0.0004683693,0.000004200973,0.0007060242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003845166,"threshold_uncertainty_score":0.007645547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400788713","doi":"10.53555/sfs.v11i4.2880","title":"The Impact of ESG Disclosure on Financial Reporting Quality: Evidence from KSA","year":2024,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Business; Quality (philosophy); Accounting","authors":[{"name":"Hossam Sharawi","is_ca":false},{"name":"Mr. Mazen Shahawi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.6636267024428897,"gpt":0.4922706030249243,"spread":0.1713560994179654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007723638,0.0001935905,0.0002015552,0.001824543,0.0005499418,0.001900823,0.0004415079,0.0004107634,0.001657479],"category_scores_gemma":[0.03862259,0.0001705949,0.0002757504,0.003467468,0.001017778,0.001328666,0.001171486,0.0005982305,0.0002335463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227272,"about_ca_system_score_gemma":0.001718875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02690905,"about_ca_topic_score_gemma":0.02649353,"domain_scores_codex":[0.9955154,0.001634299,0.0007034955,0.0003242654,0.001446275,0.0003762575],"domain_scores_gemma":[0.8685806,0.03542368,0.07824892,0.004405873,0.01121312,0.002127904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009516941,0.00004183213,0.9852145,0.00009993873,0.0000904846,0.00009405483,0.001209835,0.000113686,0.00008197272,0.0002930692,0.0004479877,0.01221751],"study_design_scores_gemma":[0.000005486105,0.00005502671,0.9948689,0.0001317278,0.00005231083,0.0001167922,0.00253052,0.0002371573,0.0002064741,0.0001343267,0.001648367,0.00001291272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960097,0.0008805279,0.0001230427,0.0009350551,0.00001164868,0.000008630309,0.0005174264,0.000004425871,0.001509555],"genre_scores_gemma":[0.9987936,0.0006583942,0.00005551647,0.0001017418,0.00001398057,0.000002396193,0.0002293214,0.000001447414,0.0001437711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02690905,"threshold_uncertainty_score":0.05350482,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306968996","doi":"10.18280/ijsdp.170602","title":"Virtual Hiring: An Effective Green Human Resource Management Practice","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Outreach; Sustainability; Knowledge management; Conceptual model; Human resources; Outcome (game theory); Business; Human resource management; Virtual machine; Technology acceptance model; Operations management; Environmental economics; Computer science; Engineering; Usability; Management; Economics","authors":[{"name":"Simranjeet Kaur","is_ca":false},{"name":"Jagdish Kumar Sehgal","is_ca":false},{"name":"Simon Grima","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05337368204666281,"gpt":0.3711227318609892,"spread":0.3177490498143263,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002724574,0.0002493975,0.0002151073,0.0007751405,0.001525971,0.002706803,0.0008921364,0.0006545216,0.006218404],"category_scores_gemma":[0.004387985,0.0001655116,0.0002748944,0.0005475111,0.001022102,0.001733022,0.00272632,0.0006152279,0.000707247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622759,"about_ca_system_score_gemma":0.001843463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006015067,"about_ca_topic_score_gemma":0.001985688,"domain_scores_codex":[0.9976169,0.001358871,0.00006417467,0.0001873213,0.0005489598,0.0002237572],"domain_scores_gemma":[0.9973559,0.001074056,0.000389123,0.000287855,0.0001851369,0.0007079542],"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":[0.000107414,0.002538586,0.03375087,0.0006736192,0.0000500203,0.0004305891,0.01044099,0.00221168,0.005212303,0.01495118,0.0126999,0.9169329],"study_design_scores_gemma":[0.0003917456,0.008990442,0.4253858,0.00239201,0.0003632517,0.002728101,0.1125223,0.0442914,0.01125426,0.06653354,0.3246918,0.0004554425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.793272,0.001308106,0.08003236,0.006891382,0.0004041581,0.0006532832,0.00006825829,0.0008410583,0.1165293],"genre_scores_gemma":[0.9625112,0.0003741422,0.02990872,0.0003811244,0.00005408912,0.0001105188,0.00002329432,0.00002231647,0.006614557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006218404,"threshold_uncertainty_score":0.02080262,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}