{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":20,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":20,"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"},"query_hash":"f2460968f61d","filters":{"venue":"Business & Information Systems Engineering"}},"results":[{"id":"W164674143","doi":"10.1007/s12599-012-0207-7","title":"Technostress from a Neurobiological Perspective","year":2012,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Technostress in Professional Settings","field":"Psychology","cited_by":238,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"HEC Montréal","keywords":"Technostress; Information and Communications Technology; Perspective (graphical); Context (archaeology); Knowledge management; Psychology; Information system; Information technology; Applied psychology; Social psychology; Engineering; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01336849510750309,"gpt":0.265694321199334,"spread":0.2523258260918309,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002020021,0.0002212601,0.0002308171,0.0002444512,0.00007989486,0.00006550847,0.0002795991,0.0002740092,0.0001304632],"category_scores_gemma":[0.00027419,0.0001934549,0.00004489156,0.0005151621,0.00002952377,0.001127692,0.0001220827,0.0002948795,0.0007208319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001267775,"about_ca_system_score_gemma":0.00001255522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004569615,"about_ca_topic_score_gemma":3.226627e-7,"domain_scores_codex":[0.9986987,0.0000281909,0.0004653701,0.0001440262,0.0002288265,0.0004348942],"domain_scores_gemma":[0.9989751,0.0001321545,0.0002050715,0.0003526283,0.0002446009,0.0000904647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002041044,0.000448005,0.06908858,0.000466885,0.0004705185,0.00002731984,0.02122691,0.00837445,0.005912595,0.857044,0.01954298,0.01719363],"study_design_scores_gemma":[0.001695598,0.00004369227,0.5623854,0.0007476453,0.00006869222,0.0001729884,0.02310815,0.002400243,0.001040354,0.00011575,0.4067905,0.00143095],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.892194,0.003315393,0.05681602,0.0004644926,0.01700681,0.001331135,0.0003201587,0.003441446,0.02511053],"genre_scores_gemma":[0.9986016,0.000003690643,0.0004633404,0.00006356149,0.0004621233,0.0002113962,0.00008506804,0.00002155872,0.0000877026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8569283,"threshold_uncertainty_score":0.9265076,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4289337208","doi":"10.1007/s12599-022-00764-w","title":"Algorithmic Management","year":2022,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Austrian Science Fund; Technische Universität Darmstadt; University of Waterloo; Deutsche Forschungsgemeinschaft","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.006560382335030299,"gpt":0.1933756409094517,"spread":0.1868152585744214,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004536494,0.00006891368,0.00008087518,0.0002055687,0.0004193439,0.0002406588,0.0001527937,0.00002109049,0.00005437516],"category_scores_gemma":[0.000008990109,0.00008305327,0.00002503031,0.0005713124,0.000009905957,0.002455733,0.00003480342,0.00006219379,0.00009880325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043232,"about_ca_system_score_gemma":0.00003325697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001578509,"about_ca_topic_score_gemma":0.000002225683,"domain_scores_codex":[0.9991728,0.00001669831,0.0002814518,0.0000488793,0.0002998408,0.0001803495],"domain_scores_gemma":[0.9997261,0.00001276811,0.00007276292,0.00008306008,0.00006390799,0.00004145124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005315165,0.00001320849,0.00006410063,0.000218784,0.00002737342,0.000001861792,0.00722217,0.5905861,7.570083e-7,0.354902,0.001011083,0.04594716],"study_design_scores_gemma":[0.0001633483,0.000002948327,0.0005164266,0.00001829766,0.00000376693,0.000002717895,0.007255849,0.01094712,9.708659e-7,0.00001304595,0.9809593,0.0001162198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01939614,0.0002098803,0.3064328,0.0007071384,0.006501541,0.001814875,0.00005971528,0.001104635,0.6637732],"genre_scores_gemma":[0.998943,0.00002025448,0.0002037944,0.000049764,0.00008965951,0.0002540908,0.00006361096,0.000005299682,0.0003705458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799482,"threshold_uncertainty_score":0.3386814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2884606998","doi":"10.1007/s12599-018-0551-3","title":"A Novel Business Process Prediction Model Using a Deep Learning Method","year":2018,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":104,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Artificial intelligence; Process (computing); Process mining; Machine learning; Business process; Deep learning; Business process discovery; Component (thermodynamics); Event (particle physics); Workflow; Feature (linguistics); Business process modeling; Process modeling; Business process management; Data mining; Hyperparameter; Work in process; Engineering; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.0181202614516187,"gpt":0.2316848488004976,"spread":0.2135645873488788,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008549899,0.0005093899,0.000558391,0.001422384,0.0005827172,0.001313334,0.00039209,0.0002463743,0.00001628421],"category_scores_gemma":[0.0005053251,0.0005041076,0.00009900921,0.004458264,0.0000452195,0.01009367,0.0001507263,0.0002794029,0.0001234863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240254,"about_ca_system_score_gemma":0.0000985004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000913196,"about_ca_topic_score_gemma":0.000009487208,"domain_scores_codex":[0.9971472,0.000008423587,0.001102782,0.0003928244,0.0007432366,0.0006055469],"domain_scores_gemma":[0.9941369,0.00002663724,0.0007442938,0.0003463259,0.004705358,0.00004043653],"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":[0.00002604334,0.00002908759,0.0004372985,0.001862914,0.00005604963,7.00625e-7,0.0002540626,0.9921643,0.001307836,0.001063476,0.00002078582,0.002777462],"study_design_scores_gemma":[0.0006565357,0.000003036926,0.0009346752,0.0005391181,0.0001703466,0.00003077929,0.0004779388,0.9920611,0.00003306145,0.00003629705,0.004501161,0.0005559489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04984343,0.00008609523,0.9465444,0.00006784023,0.001008038,0.000347176,0.000007785231,0.001009834,0.001085394],"genre_scores_gemma":[0.9865457,0.000008225313,0.01039327,0.0001694746,0.002438936,0.0001101777,0.0002031183,0.00008769695,0.00004334377],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9367023,"threshold_uncertainty_score":0.9997411,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210356752","doi":"10.1007/s12599-021-00741-9","title":"Digital Entrepreneurship: What is New if Anything?","year":2022,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Entrepreneurship Studies and Influences","field":"Business, Management and Accounting","cited_by":55,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Technische Universität Kaiserslautern","keywords":"Entrepreneurship; Engineering; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.008919716868660978,"gpt":0.181410587262865,"spread":0.1724908703942041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0002110734,0.0002580536,0.000255515,0.0004089435,0.0003529604,0.003156823,0.0003632939,0.00004271064,0.0001862247],"category_scores_gemma":[0.00009511881,0.0002632229,0.00008181611,0.001076428,0.00001314304,0.0169453,0.0004397153,0.0001662249,0.0003523534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007886952,"about_ca_system_score_gemma":0.0000313724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003926637,"about_ca_topic_score_gemma":8.813972e-7,"domain_scores_codex":[0.9982665,0.000004223265,0.0005771756,0.0002019111,0.0005883157,0.0003619114],"domain_scores_gemma":[0.9990773,0.00003334615,0.0003358686,0.0002985253,0.0002278113,0.00002714032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005710823,0.00006361553,0.0432399,0.001552348,0.0001612876,0.00001679952,0.002930614,0.8015888,0.00005809457,0.01507044,0.02797505,0.107286],"study_design_scores_gemma":[0.0004359536,0.000005456185,0.008177954,0.0001509262,0.00002274598,0.00001609423,0.004382872,0.01502349,0.000009508621,0.00002237279,0.9713328,0.0004197733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.879309,0.01156083,0.01548952,0.009647773,0.03734142,0.003409273,0.0001225626,0.004619263,0.03850036],"genre_scores_gemma":[0.9968534,0.0000745667,0.00002040997,0.001443328,0.001036925,0.00008913619,0.0001176615,0.00002795191,0.0003366651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9433578,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2887160251","doi":"10.1007/s12599-018-0555-z","title":"Designing Business Analytics Solutions","year":2018,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Analytics; Conceptual framework; Set (abstract data type); Data science; Information system; Management science; Systems engineering; Software engineering; Knowledge management; Process management; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05282121799079147,"gpt":0.2361835990686219,"spread":0.1833623810778304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005491098,0.0003513882,0.000330606,0.0009480481,0.0004346952,0.001381453,0.0004949549,0.0001600803,0.0001139491],"category_scores_gemma":[0.0005276111,0.0003416882,0.00005574194,0.003754423,0.00008283174,0.009695983,0.0002563913,0.0001484791,0.002197959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006627176,"about_ca_system_score_gemma":0.00006917404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006762524,"about_ca_topic_score_gemma":0.00002147273,"domain_scores_codex":[0.9978724,0.000005439322,0.0007986708,0.0002307137,0.0004986232,0.0005942124],"domain_scores_gemma":[0.9963349,0.00003734764,0.0003936574,0.0004831188,0.002721368,0.00002959522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001707136,0.000242285,0.01129425,0.009891584,0.0003907348,0.00002669814,0.0006745404,0.605178,0.006282792,0.2841481,0.04630882,0.03539146],"study_design_scores_gemma":[0.0003408144,0.000003855956,0.0199588,0.0004972594,0.00006992725,0.0000286353,0.0002724654,0.280719,0.0001291706,0.00003393584,0.6972728,0.0006733703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009234931,0.0001375784,0.9719616,0.0002778464,0.004604827,0.0004471818,0.00001765855,0.0008649425,0.01245347],"genre_scores_gemma":[0.994366,0.00001664735,0.00119986,0.0003138493,0.003603679,0.00006330186,0.0002567824,0.00004378951,0.0001360256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9851311,"threshold_uncertainty_score":0.9999035,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2783569462","doi":"10.1007/s12599-017-0514-0","title":"Modeling Simultaneous Cooperation and Competition Among Enterprises","year":2018,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Coopetition; Competition (biology); Knowledge management; Exploratory research; Information system; Management science; Representation (politics); Business; Decision support system; Process management; Computer science; Game theory; Engineering; Economics; Microeconomics; Artificial intelligence; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.008265686689111934,"gpt":0.1787889760619516,"spread":0.1705232893728397,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002274595,0.0001942807,0.0001753102,0.0004369449,0.0002386532,0.0009448756,0.00009151545,0.0001022767,0.00001935185],"category_scores_gemma":[0.000170095,0.0001933775,0.00001717081,0.0008220899,0.00003574852,0.00774589,0.00005287764,0.00008463445,0.0001366177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003413613,"about_ca_system_score_gemma":0.00001524302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005133743,"about_ca_topic_score_gemma":0.00002344346,"domain_scores_codex":[0.9989504,0.000003565047,0.00050708,0.0001331282,0.0002044179,0.000201449],"domain_scores_gemma":[0.9983275,0.00001645379,0.0001701376,0.0001374343,0.001336779,0.0000117228],"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":[0.00002790276,0.00001329748,0.001691801,0.0008102988,0.0000175253,0.000001427702,0.0001163149,0.9259862,0.0005264971,0.06898081,0.00006002445,0.001767952],"study_design_scores_gemma":[0.0003070796,0.000004362168,0.003796349,0.000237909,0.0000143413,0.000006698676,0.000153396,0.9861396,0.00002326393,0.00001112507,0.009071751,0.0002341479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6040227,0.00003100413,0.39216,0.00006718115,0.001080686,0.0002893972,0.000002518998,0.0003378569,0.002008642],"genre_scores_gemma":[0.9982271,0.000007463508,0.000162382,0.0001675859,0.001186718,0.00003385699,0.0001847416,0.00001864032,0.00001147296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3942045,"threshold_uncertainty_score":0.9111457,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3165817178","doi":"10.1007/s12599-021-00701-3","title":"Enhancing Sustained Attention","year":2021,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Task (project management); Brain–computer interface; Interface (matter); Computer science; Control (management); Human–computer interaction; Automation; Artifact (error); Action (physics); Cognition; Electroencephalography; Artificial intelligence; Engineering; Psychology; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0106492058284178,"gpt":0.2120512276078549,"spread":0.2014020217794371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001556357,0.0001329103,0.0001528069,0.0001663052,0.00008542638,0.000394417,0.0001265613,0.00005669572,0.00001087424],"category_scores_gemma":[0.0004030517,0.0001323218,0.00003852484,0.0006306291,0.000007741086,0.001745204,0.00006690449,0.00008818224,0.0001153935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006488571,"about_ca_system_score_gemma":0.00004975851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001096907,"about_ca_topic_score_gemma":8.065043e-7,"domain_scores_codex":[0.9989243,0.00002470407,0.0004339294,0.0001337962,0.0002556497,0.0002276625],"domain_scores_gemma":[0.9992821,0.00007662954,0.000116351,0.0001891705,0.000288687,0.00004712485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007372168,0.00002052694,0.0001251997,0.001381689,0.00001260309,0.0000318216,0.0008755572,0.1668231,0.8153479,0.01313229,0.000359155,0.001882848],"study_design_scores_gemma":[0.0008752776,0.00001596699,0.003379161,0.0008333648,0.00001400238,0.0004118264,0.001731029,0.2650508,0.6280688,0.000008336777,0.0989663,0.0006451228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5204718,0.00008477172,0.4735812,0.0001624589,0.002870988,0.0002234361,0.000008152451,0.0004811332,0.00211617],"genre_scores_gemma":[0.9990513,0.000007840933,0.0003601022,0.000102175,0.0001600247,0.00002267512,0.00001875896,0.00001101391,0.0002661647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4785795,"threshold_uncertainty_score":0.5395928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3024864984","doi":"10.1007/s12599-020-00651-2","title":"Call for Papers, Issue 1/2022","year":2020,"lang":"en","type":"paratext","venue":"Business & Information Systems Engineering","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Engineering; Computer science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.009568055293160406,"gpt":0.1906364791338777,"spread":0.1810684238407173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002622997,0.0007108542,0.0008426139,0.0008368494,0.0001713118,0.001986189,0.0006129564,0.0004471501,0.00022219],"category_scores_gemma":[0.0004718854,0.0007599681,0.0001947951,0.001433248,0.00002332265,0.005386097,0.0002743214,0.0003680742,0.01442189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002114904,"about_ca_system_score_gemma":0.00009214566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002911888,"about_ca_topic_score_gemma":0.000003938192,"domain_scores_codex":[0.9972636,0.000003134129,0.001208361,0.0003761603,0.0005352471,0.0006135077],"domain_scores_gemma":[0.9977369,0.00006013445,0.0009664385,0.0003902609,0.00081181,0.00003450354],"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":[0.00003702804,0.00001301745,0.00001405251,0.02139235,0.00009386754,0.00000368499,0.00006490751,0.05589821,0.0001284642,0.007910579,0.9114954,0.002948454],"study_design_scores_gemma":[0.0004590543,0.000006222956,0.0000896434,0.001072047,0.00004681426,0.000005987731,0.00007147299,0.04054717,0.00001704321,0.000002238816,0.9568633,0.0008190268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003940681,0.003251965,0.2982757,0.00144421,0.05370567,0.006968738,0.001141437,0.00236125,0.632457],"genre_scores_gemma":[0.6018307,0.0008670291,0.002711545,0.009707158,0.08746742,0.00918777,0.05336696,0.00208442,0.232777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6014366,"threshold_uncertainty_score":0.9994851,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2082005678","doi":"10.1007/s12599-014-0322-8","title":"A Self-regulating Information Acquisition Algorithm for Preventing Choice Regret in Multi-perspective Decision Making","year":2014,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Innovation Diffusion and Forecasting","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":"York University","funders":"","keywords":"Regret; Perspective (graphical); Decision maker; Computer science; Order (exchange); Value of information; Value (mathematics); Process (computing); Everyday life; Decision-making; Knowledge management; Operations research; Artificial intelligence; Machine learning; Engineering; Operations management; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.031340108638539,"gpt":0.3108263295361282,"spread":0.2794862208975892,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004928688,0.0002895768,0.000429844,0.001882823,0.0002863431,0.001161773,0.0003984376,0.0001996191,0.00001430094],"category_scores_gemma":[0.008201759,0.000266629,0.00009644219,0.002816513,0.00001389944,0.007839636,0.0001283752,0.000185854,0.00008313247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777412,"about_ca_system_score_gemma":0.00006485444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005343289,"about_ca_topic_score_gemma":0.000006770194,"domain_scores_codex":[0.995821,0.00007317489,0.002290496,0.0002595868,0.001123931,0.0004318127],"domain_scores_gemma":[0.9941683,0.001199527,0.001215478,0.0003861501,0.002966126,0.00006443658],"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":[0.00003338672,0.00004219064,0.001857239,0.0003744241,0.00002379714,3.608726e-7,0.005370608,0.4114268,0.00008181616,0.01618043,0.000238553,0.5643704],"study_design_scores_gemma":[0.001405826,0.00001458983,0.01665459,0.0006270136,0.000006726522,0.00001497493,0.002164118,0.9618279,0.0000259349,0.0001389925,0.0168184,0.0003009562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02586972,0.00002483477,0.9702572,0.00004738627,0.001394266,0.001010032,0.00001918774,0.0002798993,0.001097419],"genre_scores_gemma":[0.8330364,0.000001265537,0.1663475,0.0001145768,0.0002244643,0.00017075,0.00006313629,0.00001945577,0.00002242085],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8071667,"threshold_uncertainty_score":0.9999786,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406451527","doi":"10.1007/s12599-025-00924-8","title":"Affordance-Based Information Technology Sensemaking [ABITS]","year":2025,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Information Systems Theories and Implementation","field":"Social 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":"HEC Montréal","funders":"Loyola Marymount University","keywords":"Affordance; Sensemaking; Knowledge management; Human–computer interaction; Computer science; Data science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.006215949779769837,"gpt":0.2533798597766805,"spread":0.2471639099969107,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009962914,0.0001805556,0.000235168,0.00134593,0.0005800407,0.0006478744,0.0002334317,0.0001979207,0.00002071112],"category_scores_gemma":[0.0004891277,0.0001931832,0.00004738519,0.002442623,0.00005395369,0.006488845,0.00003977452,0.0001197644,0.0001516895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000386963,"about_ca_system_score_gemma":0.0003591731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004669892,"about_ca_topic_score_gemma":0.0000273599,"domain_scores_codex":[0.9980272,0.0000392871,0.001017135,0.00007522226,0.0004561422,0.0003850304],"domain_scores_gemma":[0.9980955,0.00007356091,0.0004359726,0.0002332731,0.001109615,0.0000520398],"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":[0.00001824938,0.000006181786,0.001011247,0.0008734075,0.00003158687,2.930954e-7,0.00550367,0.09518424,0.00003442629,0.8800192,0.001622168,0.01569538],"study_design_scores_gemma":[0.0006514786,0.000006997152,0.001142907,0.0003767493,0.00001230612,0.000002252518,0.0174179,0.02769361,0.0001462283,0.00006408275,0.9522316,0.0002539011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01074288,0.00008002548,0.939571,0.001117665,0.003638904,0.001188372,0.00003092061,0.000909076,0.04272115],"genre_scores_gemma":[0.9978521,0.000013388,0.001253106,0.000268208,0.0001238383,0.0002125321,0.0001437083,0.000006885166,0.0001261709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9871093,"threshold_uncertainty_score":0.7877781,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387342293","doi":"10.1007/s12599-023-00835-6","title":"Challenges and Outcomes Using Big Data as a Service","year":2023,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Big data; Service (business); Computer science; Data science; Data mining; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.4245542171318078,"gpt":0.4498036626769966,"spread":0.02524944554518882,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001010157,0.0001793342,0.0002987214,0.0003952129,0.0003438864,0.00004728599,0.0002967797,0.0001942235,0.000005718552],"category_scores_gemma":[0.0007765092,0.000166928,0.00001278598,0.0007997261,0.00001004258,0.001540179,0.0004114073,0.0002505267,0.0009823454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009970341,"about_ca_system_score_gemma":0.0001874929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003788503,"about_ca_topic_score_gemma":0.0003328557,"domain_scores_codex":[0.9981458,0.00006453055,0.0008643618,0.000180755,0.0003049115,0.0004396159],"domain_scores_gemma":[0.9980538,0.0003801194,0.0002403153,0.0006372819,0.0005753601,0.0001130485],"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":[0.00009568564,0.0000425166,0.09359923,0.08224899,0.00034777,0.00004261145,0.1455041,0.3591905,0.0006574514,0.04926639,0.00227842,0.2667263],"study_design_scores_gemma":[0.0002038844,0.000006416827,0.07442638,0.001619203,0.00001752454,0.00001477794,0.03442531,0.7998554,0.000005931365,0.00002490919,0.08905297,0.0003472976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645162,0.002110749,0.009604009,0.00410741,0.01250731,0.002508121,0.0001492545,0.002086122,0.002410797],"genre_scores_gemma":[0.9980151,0.0005924999,0.0001662212,0.000289259,0.0005506601,0.0001227144,0.0001761792,0.00003481891,0.00005253263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4406649,"threshold_uncertainty_score":0.9997955,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403922919","doi":"10.1007/s12599-024-00900-8","title":"Practical Techniques for Theorizing from Literature Reviews","year":2024,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Data science; Information retrieval; Management science; Engineering; Epistemology; Philosophy","retraction":null,"screen_n_in":null,"score":{"opus":0.02909063997645463,"gpt":0.3441270581885379,"spread":0.3150364182120833,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001727952,0.0001402283,0.0002027767,0.0002360928,0.0002396934,0.001408028,0.0001061264,0.0001289627,0.00002358381],"category_scores_gemma":[0.0005817686,0.0001223339,0.00006943725,0.000677016,0.00001731026,0.006045259,0.00001772563,0.0001016741,0.00009642199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618224,"about_ca_system_score_gemma":0.0001118238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002222603,"about_ca_topic_score_gemma":0.000006981007,"domain_scores_codex":[0.9986134,0.00005537064,0.0007265492,0.00009112,0.000282458,0.0002311663],"domain_scores_gemma":[0.9989861,0.000227336,0.0001720435,0.0001338927,0.0004238762,0.0000567381],"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":[0.00000981169,0.000003029248,0.00001032974,0.001494327,0.00002973133,7.287426e-7,0.02710381,0.0002047606,0.000099762,0.9303871,0.01545821,0.02519838],"study_design_scores_gemma":[0.00007718834,0.000004988293,0.00003146861,0.001043674,0.00001286865,0.000003787957,0.004055933,0.00637261,0.00006741856,0.0001009595,0.9880719,0.0001572393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003046845,0.001779448,0.9849318,0.0006029326,0.00372565,0.001735879,0.0001330592,0.0007346147,0.00605199],"genre_scores_gemma":[0.94122,0.002464944,0.04258999,0.0004467338,0.007265816,0.00304208,0.002088231,0.00007427077,0.0008079073],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9726136,"threshold_uncertainty_score":0.9996286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386844588","doi":"10.1007/s12599-023-00833-8","title":"Call for Papers, Issue 3/2025","year":2023,"lang":"en","type":"paratext","venue":"Business & Information Systems Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.01429589994059329,"gpt":0.2146989663703673,"spread":0.200403066429774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005378263,0.0007406545,0.001010221,0.00183611,0.0002916996,0.001894439,0.0005960544,0.0005806903,0.0001896887],"category_scores_gemma":[0.0003720885,0.0007291985,0.0002708397,0.002448383,0.00002086145,0.003433668,0.0001947413,0.0003128034,0.02101012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230724,"about_ca_system_score_gemma":0.0001232088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001364691,"about_ca_topic_score_gemma":0.00001096077,"domain_scores_codex":[0.9969361,0.000004569017,0.00134109,0.0004120184,0.0006270757,0.0006791088],"domain_scores_gemma":[0.9964977,0.00008412379,0.0009135623,0.0005181855,0.001954579,0.00003185928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001365592,0.000009556132,0.000004687565,0.01517901,0.0001422473,0.000001107166,0.00003209798,0.5496566,0.0000160795,0.0007010623,0.4319655,0.002278346],"study_design_scores_gemma":[0.0003688166,0.000001493577,0.0000348624,0.001117322,0.0001616769,0.000001410719,0.00009902008,0.2663532,0.00000208595,0.000002934922,0.7312173,0.0006399115],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0004726466,0.004771032,0.6931844,0.002368265,0.07532649,0.005256261,0.0008958988,0.00508297,0.212642],"genre_scores_gemma":[0.2365948,0.002604535,0.002065086,0.00503332,0.1087957,0.009808788,0.07145925,0.002212674,0.5614258],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6911193,"threshold_uncertainty_score":0.9995159,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1779081559","doi":"10.1007/s12599-015-0397-x","title":"Economics and Value of IS","year":2015,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Business model; The Internet; Disruptive innovation; Cloud computing; Disruptive technology; Big data; Sharing economy; Industrial Revolution; Business; Engineering; World Wide Web; Computer science; Marketing; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.01237050269594544,"gpt":0.1586534149227175,"spread":0.146282912226772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001844582,0.0001041254,0.0001718394,0.0002204516,0.00001945933,0.0005618554,0.00007993909,0.00004571669,0.000002107595],"category_scores_gemma":[0.00004392352,0.0001031092,0.00001958722,0.0001642253,0.000009396302,0.01164647,0.00006877152,0.00002795276,0.00009327746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002552549,"about_ca_system_score_gemma":0.00001785953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002802329,"about_ca_topic_score_gemma":0.000001396737,"domain_scores_codex":[0.9993805,1.474588e-7,0.0003828873,0.00005775631,0.00006119871,0.0001174775],"domain_scores_gemma":[0.9994802,0.000006973753,0.000206952,0.000108195,0.0001817372,0.00001596605],"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":[0.00001690275,0.0000104011,0.002319434,0.001278359,0.00003688882,3.535474e-7,0.0002525349,0.4959041,0.000007469926,0.4943401,0.00135598,0.004477477],"study_design_scores_gemma":[0.0006030406,0.000003438042,0.004019037,0.00009253185,0.0000135809,0.000007546615,0.00105128,0.6820085,0.0000179675,0.0003294326,0.3115826,0.0002710327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792134,0.00006056972,0.003197291,0.00004270614,0.0008101722,0.0001466386,0.000005404997,0.00007214477,0.01645164],"genre_scores_gemma":[0.9994451,0.00001146716,0.0001208328,0.0001388909,0.0002217594,0.000007155348,0.00002836942,0.00001004028,0.00001641958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4940107,"threshold_uncertainty_score":0.8443407,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4290635144","doi":"10.1007/s12599-022-00761-z","title":"Call for Papers, Issue 1/2024","year":2022,"lang":"en","type":"paratext","venue":"Business & Information Systems Engineering","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; World Wide Web; Library science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007430751710624754,"gpt":0.1996782342531059,"spread":0.1922474825424812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004463233,0.0003838421,0.0004528487,0.0005687076,0.0002330939,0.0007809148,0.00116248,0.0001719053,0.0001335861],"category_scores_gemma":[0.0000493484,0.0003832585,0.0001330841,0.0008546331,0.00000717231,0.0002011645,0.0006280626,0.0002808254,0.001328505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656758,"about_ca_system_score_gemma":0.00009994664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105172,"about_ca_topic_score_gemma":2.904861e-7,"domain_scores_codex":[0.9979411,0.00002333718,0.0007620565,0.0002978409,0.0005482571,0.0004274079],"domain_scores_gemma":[0.9985059,0.00009713033,0.0003780511,0.0006959259,0.0002421947,0.00008080877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001475733,0.000004981552,1.992371e-7,0.001809758,0.00004523504,0.000001088425,0.0002971837,0.6930515,0.000002191205,0.001219664,0.2985296,0.005037204],"study_design_scores_gemma":[0.0001692751,0.00001071865,0.000008508306,0.0001869844,0.00000918157,0.0000104886,0.00005115259,0.3654222,0.000001612019,2.505963e-7,0.6338397,0.0002899193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00004079576,0.001409487,0.876542,0.0003342443,0.03518523,0.001413093,0.00008686012,0.0005669513,0.08442127],"genre_scores_gemma":[0.02933078,0.0002789822,0.01900331,0.001397342,0.01048434,0.004930944,0.002637452,0.0003377555,0.9315991],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8575388,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409223224","doi":"10.1007/s12599-025-00938-2","title":"Process Mining Without Perfect Data? Anne Rozinat Says Yes!","year":2025,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Process (computing); Computer science; Data mining; Engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01423301129815248,"gpt":0.2274040050281263,"spread":0.2131709937299738,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007221606,0.0003902299,0.0005131505,0.001265586,0.0002975058,0.00134019,0.0007815646,0.0001534645,0.00001466384],"category_scores_gemma":[0.0004814417,0.0003711896,0.00006243898,0.003069275,0.0000245892,0.01007111,0.0002933325,0.0001780131,0.0001372733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005968054,"about_ca_system_score_gemma":0.00009677846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004581768,"about_ca_topic_score_gemma":0.00001449476,"domain_scores_codex":[0.9978634,0.000006105996,0.0008622071,0.0003526935,0.0004729026,0.0004427018],"domain_scores_gemma":[0.997544,0.00003391591,0.000402732,0.0007087459,0.001289333,0.00002125833],"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":[0.0000384754,0.00004664383,0.01671301,0.01070487,0.0001838325,0.000003917504,0.0002015578,0.9547896,0.00009409761,0.004619711,0.002964071,0.009640168],"study_design_scores_gemma":[0.0005567594,0.000001257793,0.004041573,0.001102126,0.0001552149,0.000004733713,0.0006600503,0.9276575,0.00001496916,0.00001630699,0.0653333,0.000456152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3397361,0.001790629,0.6308284,0.0009636034,0.004107049,0.0009737384,0.00003713755,0.002342474,0.01922085],"genre_scores_gemma":[0.9979863,0.00001047415,0.0002244201,0.000220712,0.0007374099,0.00009230898,0.0005195988,0.0000358933,0.0001729475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6582502,"threshold_uncertainty_score":0.999874,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4288431165","doi":"10.1007/s12599-022-00767-7","title":"Call for Papers, Issue 1/2024","year":2022,"lang":"en","type":"paratext","venue":"Business & Information Systems Engineering","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.007430751710624754,"gpt":0.1996782342531059,"spread":0.1922474825424812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004463233,0.0003838421,0.0004528487,0.0005687076,0.0002330939,0.0007809148,0.00116248,0.0001719053,0.0001335861],"category_scores_gemma":[0.0000493484,0.0003832585,0.0001330841,0.0008546331,0.00000717231,0.0002011645,0.0006280626,0.0002808254,0.001328505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002656758,"about_ca_system_score_gemma":0.00009994664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000105172,"about_ca_topic_score_gemma":2.904861e-7,"domain_scores_codex":[0.9979411,0.00002333718,0.0007620565,0.0002978409,0.0005482571,0.0004274079],"domain_scores_gemma":[0.9985059,0.00009713033,0.0003780511,0.0006959259,0.0002421947,0.00008080877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001475733,0.000004981552,1.992371e-7,0.001809758,0.00004523504,0.000001088425,0.0002971837,0.6930515,0.000002191205,0.001219664,0.2985296,0.005037204],"study_design_scores_gemma":[0.0001692751,0.00001071865,0.000008508306,0.0001869844,0.00000918157,0.0000104886,0.00005115259,0.3654222,0.000001612019,2.505963e-7,0.6338397,0.0002899193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00004079576,0.001409487,0.876542,0.0003342443,0.03518523,0.001413093,0.00008686012,0.0005669513,0.08442127],"genre_scores_gemma":[0.02933078,0.0002789822,0.01900331,0.001397342,0.01048434,0.004930944,0.002637452,0.0003377555,0.9315991],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8575388,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2809243187","doi":"10.1007/s12599-018-0548-y","title":"Conceptual Framework for SDSS Development with an Application in the Retail Industry","year":2018,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Process (computing); Decision support system; Set (abstract data type); Visualization; Development (topology); Conceptual framework; Software; Data science; Process management; Systems engineering; Software engineering; Data mining; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02048923443639808,"gpt":0.2254111283261817,"spread":0.2049218938897836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004606659,0.000102575,0.00009017558,0.0001308062,0.00008740017,0.0004159485,0.0005954725,0.00008082303,6.589171e-7],"category_scores_gemma":[0.00002876588,0.00007420513,0.000006858374,0.0006731654,0.00001780536,0.003108684,0.00005512969,0.0001049432,0.00001904612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682664,"about_ca_system_score_gemma":0.00003898931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001799421,"about_ca_topic_score_gemma":0.000003595629,"domain_scores_codex":[0.9992068,0.000009355484,0.0002779101,0.0001106815,0.0002278273,0.0001674283],"domain_scores_gemma":[0.9992971,0.00003414551,0.0001083004,0.0003526741,0.0001825599,0.00002520412],"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":[0.0000149935,0.00003365269,0.0007962289,0.0002709895,0.00002584784,0.00000103915,0.01283392,0.03429868,0.000009573147,0.8730479,0.0002431938,0.07842397],"study_design_scores_gemma":[0.0004811999,0.00004857612,0.01404378,0.0002067715,0.000004429146,0.000009285559,0.002121137,0.7031752,0.00007498934,0.00004248082,0.2794727,0.0003194244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01445828,0.00000884773,0.9843596,0.00009116207,0.0002538322,0.0005322398,0.000002301616,0.0001173616,0.0001764311],"genre_scores_gemma":[0.8944333,6.052054e-7,0.1047403,0.0001216013,0.0002043317,0.000410523,0.00007169414,0.000006159463,0.00001151208],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.879975,"threshold_uncertainty_score":0.4011001,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409229080","doi":"10.1007/s12599-025-00939-1","title":"Mapping Uncharted Territory","year":2025,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Geography; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.04697601703291333,"gpt":0.2987515658446621,"spread":0.2517755488117488,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001990846,0.000126057,0.0002212636,0.001002514,0.000100815,0.0008181013,0.0005088256,0.00006079779,0.00002187968],"category_scores_gemma":[0.0009775275,0.0001092598,0.00004128349,0.001652558,0.00001313555,0.002644586,0.0001764396,0.00007461465,0.0004840367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007405605,"about_ca_system_score_gemma":0.00004675067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001044754,"about_ca_topic_score_gemma":0.00000260125,"domain_scores_codex":[0.9979995,0.00003549178,0.0009527644,0.00013915,0.000682336,0.0001906826],"domain_scores_gemma":[0.9986711,0.0001756226,0.0001884283,0.0005070189,0.0004161049,0.00004173589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002019708,0.00004294567,0.001303938,0.001749349,0.0001587622,0.0000055732,0.003441876,0.4749076,0.0004187764,0.2272837,0.183061,0.1076063],"study_design_scores_gemma":[0.0002056175,0.000001433716,0.01266719,0.0001643433,0.000003282823,0.000001498966,0.002162902,0.0694261,0.00001697603,0.00005617277,0.915175,0.0001194941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006801622,0.0001166593,0.9708356,0.000507003,0.00437613,0.0003565588,0.00002686212,0.0002766869,0.01670291],"genre_scores_gemma":[0.9971648,0.000007566366,0.0005253784,0.0003336793,0.0001226593,0.00007263612,0.0000744158,0.000005622391,0.001693271],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903631,"threshold_uncertainty_score":0.788897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404612233","doi":"10.1007/s12599-024-00909-z","title":"Correction: Practical Techniques for Theorizing from Literature Reviews","year":2024,"lang":"en","type":"article","venue":"Business & Information Systems Engineering","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Information retrieval; Data science; Management science; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.3495325840850425,"gpt":0.4528177352230406,"spread":0.1032851511379981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03519762,0.0003175692,0.001753583,0.0006801258,0.00009758425,0.005470229,0.0004972739,0.00016365,0.0002484286],"category_scores_gemma":[0.02924381,0.0001683125,0.000714272,0.002531261,0.000009692646,0.003624412,0.00005403757,0.0002107942,0.001503636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007456265,"about_ca_system_score_gemma":0.00006314295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000102931,"about_ca_topic_score_gemma":7.567145e-7,"domain_scores_codex":[0.9904578,0.0006278021,0.006616595,0.0003983247,0.001689526,0.0002099369],"domain_scores_gemma":[0.9920519,0.003271752,0.001528483,0.001337105,0.001723513,0.00008725159],"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":[0.00001244413,0.00001465396,0.0001019778,0.003280119,0.0002729403,0.000006913964,0.002521015,0.005829047,0.0002910271,0.04754663,0.7495114,0.1906118],"study_design_scores_gemma":[0.00003266457,0.000004237002,0.000138347,0.001243223,0.00005934445,0.00003705096,0.0001696036,0.2413914,0.00003030375,0.00009499247,0.7566534,0.0001454536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001738021,0.01041077,0.9771054,0.0003470628,0.007399572,0.001566493,0.00005582723,0.0001362477,0.002804871],"genre_scores_gemma":[0.7462757,0.002212675,0.2121275,0.0009129406,0.01061003,0.006510276,0.001496283,0.0001999325,0.01965474],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7649779,"threshold_uncertainty_score":0.9992738,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}