{"meta":{"query_hash":"8ec995cdc95c","filters":{"venue":"Enterprise Information Systems"},"cohort_total":27,"direct_labels_cover":0,"predictions_cover":27,"exported":27,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/8ec995cdc95c","api":"https://metacan.xera.ac/api/v1/cohort?venue=Enterprise+Information+Systems"},"results":[{"id":"W165545525","doi":"10.4018/978-1-61692-852-0.ch515","title":"Adoption, Improvement, and Disruption","year":2011,"lang":"en","type":"book-chapter","venue":"Enterprise Information Systems","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Open source software; Enterprise software; Software; Business model; Software development; Computer science; Open source; Business; Knowledge management; Software engineering; Process management; Marketing; Operating system","score_opus":0.014929490829348972,"score_gpt":0.21900855168346386,"score_spread":0.2040790608541149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W165545525","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000045313584,0.000108173066,0.5888212,0.000057517525,0.0012212236,0.0006889221,0.000046576763,0.0003337067,0.40867737],"genre_scores_gemma":[0.3258436,0.0007527705,0.013324502,0.0022030189,0.0010772868,0.00062345434,0.0012746599,0.00018303681,0.6547177],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981406,0.000014415689,0.00096055324,0.00025364492,0.0004330602,0.0001977561],"domain_scores_gemma":[0.9978267,0.000031472213,0.0008961814,0.0007390899,0.00040428748,0.000102249884],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036464893,0.00030632727,0.00028595122,0.0004674341,0.00016030075,0.0007229198,0.00055102626,0.00025140768,0.000049154634],"category_scores_gemma":[0.000020495983,0.0003033368,0.000072715986,0.000085044405,0.00004956069,0.0036449104,0.00035190082,0.00025558937,0.0011743667],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005534142,0.000008765486,0.00008022944,0.00017487098,0.00006234551,0.0000018981384,0.0027281684,0.000011839385,0.0000041638064,0.9255239,0.0050476864,0.06635064],"study_design_scores_gemma":[0.0003629862,0.00011721996,0.00016215091,0.00042602545,0.0000215154,0.000066238674,0.00007635474,0.0016240771,0.000007840882,0.0040336275,0.9925708,0.0005311489],"about_ca_topic_score_codex":0.000037200367,"about_ca_topic_score_gemma":0.0000014309791,"teacher_disagreement_score":0.98752314,"about_ca_system_score_codex":0.00013631395,"about_ca_system_score_gemma":0.00006879057,"threshold_uncertainty_score":0.9999419},"labels":[],"label_agreement":null},{"id":"W1814173068","doi":"10.1007/978-94-015-9518-6_15","title":"Prototype Validation of the Trapezoidal Attribute Cardinality Map for Query Optimization in Database Systems","year":2000,"lang":"en","type":"book-chapter","venue":"Enterprise Information Systems","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Query optimization; Cardinality (data modeling); Computer science; Query plan; Database; Histogram; Online aggregation; Data mining; View; Set (abstract data type); Algorithm; Sargable; Database design; Information retrieval; Search engine; Web search query; Artificial intelligence; Programming language","score_opus":0.02005550705722954,"score_gpt":0.231608512032307,"score_spread":0.21155300497507745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1814173068","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024608327,0.00021407015,0.9549986,0.00008667738,0.0027099436,0.0066947583,0.0014681842,0.00011054795,0.033692602],"genre_scores_gemma":[0.55237293,0.0022688026,0.040583644,0.0011801551,0.0050258157,0.016548991,0.0773504,0.0006148966,0.30405435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974275,0.00008917506,0.0013218796,0.00028076058,0.00066098943,0.00021964438],"domain_scores_gemma":[0.99752307,0.000061199375,0.0010736731,0.0010505775,0.00024264712,0.00004882188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010925898,0.0002915398,0.0004473431,0.00037125836,0.000097238204,0.0004959998,0.001087896,0.00018224324,0.0000088895],"category_scores_gemma":[0.000022199685,0.0002389472,0.00017057391,0.00014574385,0.000034775396,0.003462818,0.00023066967,0.00018033414,0.00004684977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003174149,0.00013876436,0.00054412335,0.010115254,0.0004793677,0.0000067625365,0.0029100182,0.61646223,0.000005068508,0.3328385,0.02088906,0.015293426],"study_design_scores_gemma":[0.0012031588,0.00011272241,0.00003558437,0.0023889034,0.000066822104,0.000011289094,0.00010303333,0.5400217,0.000047760226,0.00018521382,0.4552587,0.0005651219],"about_ca_topic_score_codex":0.00012428491,"about_ca_topic_score_gemma":0.0000022426004,"teacher_disagreement_score":0.91441494,"about_ca_system_score_codex":0.000171151,"about_ca_system_score_gemma":0.00010756103,"threshold_uncertainty_score":0.97439843},"labels":[],"label_agreement":null},{"id":"W1992544712","doi":"10.1080/17517570601088380","title":"Electronic marketplace definition and classification: literature review and clarifications","year":2007,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Confusion; Centralisation; Phenomenon; Epistemology; Conceptualization; Data science; Terminology; Corporate governance; Computer science; Knowledge management; Management science; Psychology; Business; Political science; Engineering; Artificial intelligence; Linguistics; Philosophy","score_opus":0.011790243456967211,"score_gpt":0.20290502131448498,"score_spread":0.19111477785751776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992544712","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23876868,0.029679434,0.016697193,0.0019905926,0.0010003115,0.002569812,0.000055481443,0.0004794843,0.708759],"genre_scores_gemma":[0.99399906,0.002744805,0.000046603007,0.0023544598,0.00014914997,0.000030313633,0.00052410463,0.0000074366485,0.00014406387],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99922866,0.0000012547893,0.00042566351,0.000095840354,0.000082421604,0.00016616836],"domain_scores_gemma":[0.9994225,0.000020891941,0.0002922082,0.00013463205,0.0001124512,0.000017339062],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006443761,0.000104188584,0.00013142062,0.00017308899,0.000114603514,0.0012660545,0.000065078806,0.00006390355,0.000010606111],"category_scores_gemma":[0.00004525148,0.000095031435,0.000023005241,0.00019971356,0.00001933197,0.0097456295,0.00003459873,0.00010331314,0.00022129845],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048574253,0.000027874328,0.0047591636,0.0049578925,0.000039484323,9.958142e-7,0.00024197594,0.0000047826593,0.000009243314,0.9523021,0.019409703,0.018198213],"study_design_scores_gemma":[0.0004986159,0.000012271542,0.016697304,0.0013436412,0.00006976184,0.00007766384,0.0013125109,0.0031859337,0.0000011415169,0.0023656385,0.97410184,0.0003336568],"about_ca_topic_score_codex":0.000009706413,"about_ca_topic_score_gemma":0.0000064411233,"teacher_disagreement_score":0.9546922,"about_ca_system_score_codex":0.000036700385,"about_ca_system_score_gemma":0.000009527465,"threshold_uncertainty_score":0.9997707},"labels":[],"label_agreement":null},{"id":"W2770443787","doi":"10.1080/17517575.2017.1402371","title":"A systematic mapping study of process mining","year":2017,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Process mining; Decision tree; Data mining; Categorical variable; Robustness (evolution); Machine learning; Business process discovery; Process (computing); Artificial intelligence; Relevance (law); Data science; Work in process; Engineering; Business process management; Business process modeling; Business process","score_opus":0.023217885493239023,"score_gpt":0.25279488148269497,"score_spread":0.22957699598945594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770443787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810382,0.000059301186,0.008360891,0.000041335075,0.00056435267,0.0008042473,0.0000016678581,0.00012283749,0.009007183],"genre_scores_gemma":[0.9994998,0.0000012567203,0.0000135958035,0.000056200388,0.00020976536,0.00013801987,0.000009659372,0.000011060926,0.000060634382],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981305,0.00001180295,0.0010549065,0.00013076897,0.0005004706,0.00017153408],"domain_scores_gemma":[0.99641824,0.000019001449,0.0023119547,0.0005713279,0.00066841394,0.000011079069],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006707454,0.00016819303,0.0004876253,0.0005048717,0.0004914868,0.0014886478,0.0005752399,0.000048959115,0.00000730934],"category_scores_gemma":[0.00036408065,0.0001387735,0.00007457395,0.00024049603,0.000023207544,0.0061159353,0.00013248302,0.00006546221,0.000114147224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017101069,0.0011696473,0.4450222,0.4250642,0.0014805723,0.000018522083,0.05738478,0.062612794,0.000048295617,0.0021905252,0.0010669492,0.0037704944],"study_design_scores_gemma":[0.0023132537,0.000026444717,0.0058964416,0.018602211,0.00041429434,0.000007411614,0.15950382,0.8119471,0.0000074989525,0.000056365414,0.0006228885,0.0006022953],"about_ca_topic_score_codex":0.0007487381,"about_ca_topic_score_gemma":0.000011354426,"teacher_disagreement_score":0.7493343,"about_ca_system_score_codex":0.00001742281,"about_ca_system_score_gemma":0.000016920818,"threshold_uncertainty_score":0.9995479},"labels":[],"label_agreement":null},{"id":"W2792273248","doi":"10.1080/17517575.2018.1448118","title":"The complementarity of IT and HRM capabilities for competitive performance: a configurational analysis of manufacturing and industrial service SMEs","year":2018,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec à Trois-Rivières","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Complementarity (molecular biology); Business; Competitive advantage; Service (business); Industrial organization; Dynamic capabilities; Tertiary sector of the economy; Productivity; Manufacturing sector; Human resource management; Resource (disambiguation); Small and medium-sized enterprises; Knowledge management; Operations management; Marketing; Computer science; Engineering; Economics","score_opus":0.028197557399748375,"score_gpt":0.24629481532588157,"score_spread":0.2180972579261332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792273248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94661283,0.000013592107,0.00085212983,0.0004204702,0.00045670214,0.0008358248,0.000071481045,0.000019407398,0.050717562],"genre_scores_gemma":[0.9992669,0.0000035619687,0.000019658439,0.00031571218,0.00016457649,0.000038722108,0.00014649215,0.0000025724066,0.000041790427],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907297,0.000010079959,0.0005724369,0.00006854248,0.00018147481,0.000094510826],"domain_scores_gemma":[0.99868995,0.00009261438,0.0004923203,0.00009848343,0.00062078505,0.000005835043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006102606,0.00008232698,0.0001858438,0.00030486388,0.00023307366,0.00019244036,0.00008643731,0.00002809158,0.000022476444],"category_scores_gemma":[0.000033314474,0.00006501951,0.000030690615,0.00026702954,0.00010308202,0.00082812144,0.00008172501,0.00003575927,0.000004538734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007073099,0.00007055701,0.09317992,0.0033564775,0.0017613808,6.2261186e-8,0.0115823,0.0001614506,0.000047038142,0.8736935,0.0030646638,0.012375326],"study_design_scores_gemma":[0.004073703,0.00013459264,0.09210062,0.0003919766,0.0007865159,0.0000011950635,0.10719465,0.23770243,0.0011474453,0.00023623137,0.5557996,0.0004310219],"about_ca_topic_score_codex":0.00027207632,"about_ca_topic_score_gemma":0.0002618753,"teacher_disagreement_score":0.8734573,"about_ca_system_score_codex":0.00001940777,"about_ca_system_score_gemma":0.000012367888,"threshold_uncertainty_score":0.26514184},"labels":[],"label_agreement":null},{"id":"W2895518777","doi":"10.1080/17517575.2018.1527042","title":"Enhancing online-to-offline specific customer loyalty in beauty industry","year":2018,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Department of Industrial and Systems Engineering, Hong Kong Polytechnic University; Hong Kong Polytechnic University","keywords":"Loyalty business model; Business; Customer retention; Marketing; Customer delight; Customer advocacy; Customer satisfaction; Customer equity; Customer to customer; Customer intelligence; Customer profitability; Loyalty; Customer lifetime value; Service quality","score_opus":0.021674336108664607,"score_gpt":0.26265039842476173,"score_spread":0.24097606231609714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895518777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95769,0.00003966573,0.0024165744,0.0005831265,0.003107377,0.0007028279,0.000027586026,0.00026058638,0.035172272],"genre_scores_gemma":[0.9915008,0.0000029132016,0.00009227078,0.0048989123,0.0029810155,0.000039005,0.00015300015,0.000019211333,0.0003128494],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977176,0.000027606495,0.0010975274,0.00021774275,0.00047965097,0.00045983522],"domain_scores_gemma":[0.9987484,0.000040761683,0.00041461963,0.00040908344,0.0003360508,0.000051034494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010292144,0.00024291275,0.000315689,0.0008675932,0.0001568901,0.0005643894,0.00037289973,0.00023945009,0.00034257642],"category_scores_gemma":[0.00010723865,0.00023565738,0.00006727619,0.0011458249,0.000038229235,0.003732094,0.00020558959,0.00041600867,0.010045847],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001833214,0.0018193638,0.5877284,0.007964316,0.00027609416,0.000064559,0.04621608,0.008155953,0.0017277097,0.03556395,0.25884587,0.049804498],"study_design_scores_gemma":[0.0008150243,0.000016752234,0.035483453,0.0005070778,0.000009730121,0.0000045385973,0.005249803,0.0052037807,0.00008443607,0.00001911496,0.9522093,0.00039696897],"about_ca_topic_score_codex":0.0018852586,"about_ca_topic_score_gemma":0.0007733693,"teacher_disagreement_score":0.6933635,"about_ca_system_score_codex":0.00014039656,"about_ca_system_score_gemma":0.000035987527,"threshold_uncertainty_score":0.9907249},"labels":[],"label_agreement":null},{"id":"W2911535318","doi":"10.1080/17517575.2019.1576228","title":"Are firms ready to use big data analytics to create value? The role of structural and psychological readiness","year":2019,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Leverage (statistics); Big data; Analytics; Knowledge management; Value (mathematics); Data science; Survey data collection; Business; Value creation; Data analysis; Structural equation modeling; Resource-based view; Business value; Computer science; Marketing; Competitive advantage; Data mining","score_opus":0.12741269944544928,"score_gpt":0.3133815856512473,"score_spread":0.18596888620579802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911535318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99225855,0.000035497298,0.0027209497,0.00026118656,0.0012291293,0.00073260133,0.00022209175,0.00005388453,0.0024861034],"genre_scores_gemma":[0.99816436,0.00000422076,0.000042637756,0.0011262281,0.00027346142,0.000012385067,0.00024879962,0.00000806533,0.000119820055],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987166,0.000014240946,0.0005411151,0.00020807137,0.0003313901,0.00018861862],"domain_scores_gemma":[0.99812555,0.000053100484,0.00059453375,0.0009264514,0.0002745425,0.000025838372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003740076,0.0001613307,0.0002471311,0.00022784361,0.00008452862,0.0007491371,0.00072765193,0.00006630042,0.0000305856],"category_scores_gemma":[0.00029075413,0.00010129811,0.000023631384,0.00050090597,0.000030698302,0.0032760054,0.0005934291,0.00008790286,0.000582072],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045306794,0.00006155798,0.9319395,0.0007641953,0.000097749726,0.000003170815,0.00089033484,0.0038055019,0.0002618216,0.010454759,0.020860173,0.030408204],"study_design_scores_gemma":[0.00033197037,0.000027397424,0.3513648,0.00046131774,0.000056047687,0.00001817383,0.002844906,0.054897487,0.0000425796,0.0000961743,0.58948797,0.000371203],"about_ca_topic_score_codex":0.0009155416,"about_ca_topic_score_gemma":0.00002755977,"teacher_disagreement_score":0.58057463,"about_ca_system_score_codex":0.000014957597,"about_ca_system_score_gemma":0.000005010566,"threshold_uncertainty_score":0.74815524},"labels":[],"label_agreement":null},{"id":"W2926535828","doi":"10.1080/17517575.2019.1597169","title":"Integrated design and operation management for enterprise systems","year":2019,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Enterprise information system; Enterprise integration; Enterprise software; Computer science; Enterprise systems engineering; Process management; Integrated enterprise modeling; Business; Systems engineering; Enterprise life cycle; Enterprise architecture; Knowledge management; Engineering management; Engineering; Architecture","score_opus":0.019580878554656254,"score_gpt":0.24947083399714484,"score_spread":0.22988995544248858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926535828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07063755,0.00024380896,0.87998325,0.0002393222,0.0066221645,0.012148681,0.00006686129,0.0005411464,0.029517226],"genre_scores_gemma":[0.9963432,0.000016128206,0.00046829515,0.0007267947,0.0002814734,0.0005864748,0.00037762112,0.00002823186,0.0011717905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808186,0.00004425702,0.00095961854,0.00022244122,0.00037166828,0.00032016786],"domain_scores_gemma":[0.9987877,0.00006152601,0.0005573919,0.00028998306,0.00026902475,0.000034345783],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010380918,0.0002701718,0.0003228999,0.00056825584,0.0001777759,0.0020580268,0.00020346952,0.00008275833,0.00007877275],"category_scores_gemma":[0.0000264319,0.00023383062,0.000071047645,0.00024660886,0.00001608229,0.00557781,0.00008250396,0.00007712321,0.0013468312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025816732,0.00045603194,0.05607125,0.025307953,0.0015338475,0.000012152128,0.009085947,0.0868967,0.001567721,0.39376476,0.37288007,0.049841907],"study_design_scores_gemma":[0.0028370742,0.000058360773,0.0009660019,0.00043623053,0.000052918756,0.000013716232,0.008809121,0.41470882,0.00001888395,0.000023505141,0.57169265,0.00038275775],"about_ca_topic_score_codex":0.0003078909,"about_ca_topic_score_gemma":0.0000020326083,"teacher_disagreement_score":0.9257057,"about_ca_system_score_codex":0.00011962645,"about_ca_system_score_gemma":0.000020643523,"threshold_uncertainty_score":0.9994307},"labels":[],"label_agreement":null},{"id":"W2980680735","doi":"10.1080/17517575.2019.1669829","title":"The effect of aggregation methods on sentiment classification in Persian reviews","year":2019,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Persian; Computer science; Natural language processing; Artificial intelligence; Linguistics; Philosophy","score_opus":0.016241382288419707,"score_gpt":0.31428360750700046,"score_spread":0.29804222521858076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980680735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18783839,0.0017276756,0.77444744,0.0006355016,0.004516026,0.003815845,0.0000023466796,0.000106218395,0.026910542],"genre_scores_gemma":[0.9982175,0.00011247061,0.00129481,0.000040040668,0.000021365444,0.00007024527,0.000014973793,0.0000028221928,0.00022575223],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981663,0.00056564756,0.00073768565,0.000114896175,0.0002984869,0.00011695193],"domain_scores_gemma":[0.9986024,0.00025089772,0.0006062944,0.00046997608,0.00004441723,0.000026012964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031077708,0.000097701086,0.0002215945,0.00022315705,0.000060051818,0.00020083963,0.00035579022,0.000037379534,0.000006129209],"category_scores_gemma":[0.00006428658,0.00006136228,0.00010236646,0.0003736643,0.000009739123,0.00088233646,0.00004662259,0.000072090996,0.00036626242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117636766,0.000051998282,0.068030104,0.0005297743,0.00011443867,3.5287687e-7,0.013618101,0.0062700645,0.0014969547,0.03543163,0.00324664,0.8710923],"study_design_scores_gemma":[0.00082504476,0.0002685576,0.00524719,0.00059829454,0.000010647271,0.0000021107933,0.0007518423,0.8868884,0.003841525,0.00000938528,0.10139951,0.00015752821],"about_ca_topic_score_codex":0.000014251673,"about_ca_topic_score_gemma":4.760455e-7,"teacher_disagreement_score":0.8806183,"about_ca_system_score_codex":0.000084098894,"about_ca_system_score_gemma":0.000010632712,"threshold_uncertainty_score":0.47076845},"labels":[],"label_agreement":null},{"id":"W3041134523","doi":"10.1080/17517575.2020.1790043","title":"Valuing free-form text data from maintenance logs through transfer learning with CamemBERT","year":2020,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Exploit; Transfer of learning; Artificial intelligence; Machine learning; Scheduling (production processes); Engineering","score_opus":0.03381081355604557,"score_gpt":0.24673173730660453,"score_spread":0.21292092375055896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041134523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019555595,0.00006536337,0.98867536,0.0011881342,0.00022746305,0.00047286894,0.0002357242,0.00091330195,0.0062662037],"genre_scores_gemma":[0.9681695,0.000053240015,0.029151486,0.0015344871,0.000109522145,0.00007393657,0.0008129335,0.000017260698,0.0000775986],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997909,0.00008874078,0.00070245453,0.00039796796,0.00060419244,0.00029764825],"domain_scores_gemma":[0.99766874,0.00009258762,0.00026643192,0.0016834794,0.00017299863,0.00011573289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034164632,0.00022183103,0.000269354,0.00007050446,0.00015408534,0.00066265726,0.00286414,0.00008799947,0.00002132877],"category_scores_gemma":[0.00015151505,0.00018284055,0.000035591773,0.00039955796,0.00004675172,0.010785859,0.00053995405,0.00031802515,0.0004504833],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076377345,0.0002813554,0.023902893,0.001724442,0.00080993597,0.0001259564,0.2655079,0.014142239,0.005175533,0.13588898,0.44795072,0.103726245],"study_design_scores_gemma":[0.0010876536,0.00013431323,0.00065108744,0.00043152182,0.000014348167,0.000040977156,0.0017456382,0.57348675,0.0013886016,0.000111239206,0.42042828,0.00047960633],"about_ca_topic_score_codex":0.0003711245,"about_ca_topic_score_gemma":0.000007044412,"teacher_disagreement_score":0.966214,"about_ca_system_score_codex":0.00008956652,"about_ca_system_score_gemma":0.000085250846,"threshold_uncertainty_score":0.7819487},"labels":[],"label_agreement":null},{"id":"W3088095465","doi":"10.1080/17517575.2020.1820583","title":"IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing","year":2020,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Computer science; Machine learning; Artificial intelligence; Internet of Things; Latency (audio); Fog computing; Quality of service; Real-time computing; Embedded system; Computer network; Telecommunications","score_opus":0.06636740252404123,"score_gpt":0.38254388270909384,"score_spread":0.3161764801850526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088095465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74352294,0.0003828667,0.23877351,0.0024589011,0.0034991326,0.008740223,0.0004358034,0.0010637286,0.0011228878],"genre_scores_gemma":[0.99552023,0.0000129213495,0.0003988802,0.0032219714,0.0003188353,0.00018233681,0.00030611226,0.000030526742,0.000008193681],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9936606,0.0011775349,0.0033406294,0.00029163485,0.00073108246,0.00079851836],"domain_scores_gemma":[0.9966646,0.00034334385,0.0016054455,0.0003021317,0.00042473877,0.0006597522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022312745,0.00035435145,0.0006608216,0.00076460745,0.0010284419,0.00017407989,0.00026083362,0.00030430232,0.00002976427],"category_scores_gemma":[0.0006776915,0.00036357326,0.000076771285,0.00082738145,0.000035143436,0.0015460217,0.00019968477,0.0010768699,0.0006248033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077019003,0.00003392495,0.5337622,0.00831292,0.000045194545,0.000005870034,0.1440147,0.29273164,0.00002246083,0.00024378354,0.0016144057,0.018442674],"study_design_scores_gemma":[0.0008483753,0.00033117767,0.0053208503,0.00326924,0.0000100738725,0.000008835676,0.028034035,0.9473802,0.000015939391,5.256213e-7,0.014521428,0.00025933108],"about_ca_topic_score_codex":0.0058464236,"about_ca_topic_score_gemma":0.00012598342,"teacher_disagreement_score":0.65464854,"about_ca_system_score_codex":0.0015585737,"about_ca_system_score_gemma":0.00056073116,"threshold_uncertainty_score":0.9998816},"labels":[],"label_agreement":null},{"id":"W3122852085","doi":"10.1080/17517575.2021.1872107","title":"A review of the state of the art in business intelligence software","year":2021,"lang":"en","type":"review","venue":"Enterprise Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Business intelligence; Scope (computer science); Data science; Software engineering; Software; Knowledge management","score_opus":0.05611547528523231,"score_gpt":0.30527221094554857,"score_spread":0.24915673566031626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122852085","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002730801,0.99119824,0.0035705175,0.00005846931,0.0021589461,0.0015621753,0.00010335491,0.000021055464,0.0013245082],"genre_scores_gemma":[0.000063806954,0.99884576,0.0000121531775,0.00042382424,0.00011364994,0.00012042923,0.00021056521,0.000018279048,0.00019154535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965871,0.0000880782,0.0023433305,0.00018012406,0.00059438054,0.00020697825],"domain_scores_gemma":[0.9947645,0.00009684243,0.00315475,0.00105094,0.00092517043,0.000007760589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009147202,0.00033839402,0.0013234223,0.00029408775,0.000061676306,0.0001816635,0.001463923,0.000117261035,0.00007851259],"category_scores_gemma":[0.0010184902,0.00018242281,0.00041173524,0.003242651,0.00010371223,0.0017526402,0.0008239709,0.00029686655,0.00021149922],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021393616,0.000030618492,0.00008999371,0.45806575,0.000036921167,6.20361e-7,0.000052599386,0.000098221906,2.9660615e-8,0.00039631472,0.008820019,0.53240675],"study_design_scores_gemma":[0.000020843747,5.709925e-7,0.000021135736,0.31516653,0.000093251125,0.000009969042,0.00002652075,0.000057854948,7.028044e-7,0.0000075553394,0.6844727,0.00012237606],"about_ca_topic_score_codex":0.0003097278,"about_ca_topic_score_gemma":0.00002593822,"teacher_disagreement_score":0.6756527,"about_ca_system_score_codex":0.0000696602,"about_ca_system_score_gemma":0.0002647,"threshold_uncertainty_score":0.74389863},"labels":[],"label_agreement":null},{"id":"W3152518959","doi":"10.1080/17517575.2021.1894356","title":"Promoting e-banking actual usage: mix of technology acceptance model and technology-organisation-environment framework","year":2021,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Context (archaeology); Technology acceptance model; Novelty; Task (project management); Structural equation modeling; Reputation; Knowledge management; Affect (linguistics); Business; Social influence; Marketing; Government (linguistics); Computer science; Psychology; Usability; Social psychology; Management; Economics; Human–computer interaction","score_opus":0.029191149578832534,"score_gpt":0.30180328795059186,"score_spread":0.27261213837175935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152518959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83812135,0.0003036233,0.15887205,0.0014451086,0.00024645403,0.00031320157,0.000027493543,0.00024326322,0.00042742575],"genre_scores_gemma":[0.99144655,0.000049150025,0.008185664,0.000081370315,0.000014563144,0.00005071357,0.000008985407,0.000010127561,0.00015289529],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997236,0.00006357924,0.0013187301,0.00032670502,0.0007948541,0.00026013455],"domain_scores_gemma":[0.9977131,0.00014907289,0.0008892528,0.00082017103,0.00036881526,0.00005960087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996025,0.00018968986,0.0003867016,0.0010646628,0.00020512783,0.00021195477,0.00058197515,0.0005292753,0.00014163893],"category_scores_gemma":[0.0013286206,0.00017043747,0.00005586399,0.0011840685,0.00023715827,0.0012039944,0.0004043519,0.00041497877,0.00020568671],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004825903,0.00029846377,0.7075486,0.00016088734,0.00012361711,0.000022640035,0.030189564,0.005137178,0.014049057,0.0932637,0.0010506287,0.14810736],"study_design_scores_gemma":[0.0053284154,0.0005631861,0.049322456,0.0021650367,0.00021850748,0.0015022157,0.2363138,0.3578917,0.08422198,0.19897462,0.060667317,0.0028307417],"about_ca_topic_score_codex":0.0000014700439,"about_ca_topic_score_gemma":7.3434484e-7,"teacher_disagreement_score":0.6582262,"about_ca_system_score_codex":0.00008682725,"about_ca_system_score_gemma":0.00009893727,"threshold_uncertainty_score":0.69502383},"labels":[],"label_agreement":null},{"id":"W3172710537","doi":"10.1080/17517575.2021.1939425","title":"Informative index for investment based on Kelly criterion","year":2021,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Econometrics; Portfolio; Investment value; Robustness (evolution); Stock market index; Project portfolio management; Mathematics; Stock (firearms); Index (typography); Asset management; Asset allocation; Correlation coefficient; Statistics; Economics; Computer science; Financial economics; Finance; Engineering; Stock market; Management; Project management","score_opus":0.016125250624514722,"score_gpt":0.2389671779950073,"score_spread":0.22284192737049258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172710537","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2141371,0.000162435,0.2317053,0.0012934575,0.008998524,0.004449444,0.00014987859,0.00090766366,0.5381962],"genre_scores_gemma":[0.991654,0.0000018271851,0.00009115259,0.0072209467,0.0002263242,0.00020938751,0.00039165805,0.000012085325,0.00019262127],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987275,0.000016804295,0.0005892812,0.0001126228,0.00033583268,0.00021797782],"domain_scores_gemma":[0.99887276,0.00008203627,0.00035171618,0.00025750048,0.00041555407,0.000020452724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041855092,0.00017637681,0.00019580935,0.00037123682,0.00018267924,0.00086824637,0.00013242736,0.00006842476,0.00010062815],"category_scores_gemma":[0.00013317216,0.00016652432,0.0001052066,0.0003022379,0.000012864089,0.0032704633,0.000068190675,0.00009686356,0.00034966198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035235255,0.0010725964,0.40855134,0.015826924,0.00038197223,0.000054741286,0.01261751,0.032986358,0.0005366316,0.09408496,0.20874628,0.22161716],"study_design_scores_gemma":[0.0015762813,0.000020794585,0.011846985,0.00036452862,0.000035488953,0.000003461037,0.0015757098,0.24586499,0.00008194059,0.00004516741,0.73828834,0.00029629114],"about_ca_topic_score_codex":0.00009623497,"about_ca_topic_score_gemma":0.0000069702733,"teacher_disagreement_score":0.7775169,"about_ca_system_score_codex":0.00006878447,"about_ca_system_score_gemma":0.000059100603,"threshold_uncertainty_score":0.83725196},"labels":[],"label_agreement":null},{"id":"W3175323262","doi":"10.1080/17517575.2021.1939896","title":"Privacy, security and resilience in mobile healthcare applications","year":2021,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Information and Cyber Security","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Resilience (materials science); Computer security; Computer science; Usability; Internet privacy; Security service; Privacy by Design; Information privacy; Health care; Information security; Political science","score_opus":0.006684569058919849,"score_gpt":0.249260884798369,"score_spread":0.24257631573944916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175323262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13094264,0.0027971494,0.8326688,0.0019172577,0.0011770752,0.002603712,0.000063549196,0.00057149626,0.027258335],"genre_scores_gemma":[0.99815404,0.00012061057,0.0007125717,0.000595909,0.000021063144,0.00032630155,0.000031363088,0.0000022263798,0.00003588569],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986841,0.00008423246,0.0005948876,0.00014830603,0.000290471,0.00019798873],"domain_scores_gemma":[0.99897176,0.00003864836,0.0001834767,0.00048380202,0.00021517082,0.00010715227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036774797,0.00010351111,0.00014812077,0.00016163658,0.000121989695,0.0004304065,0.00034735832,0.00006886716,0.000004975361],"category_scores_gemma":[0.000025757307,0.00010652831,0.000028068325,0.00051716267,0.000023076316,0.0033872216,0.00023796476,0.00015146079,0.00013763747],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022567012,0.00022210217,0.027182797,0.0016187298,0.000024817236,0.000019169534,0.22436257,0.00132009,0.00004192759,0.6405376,0.0034444155,0.10120319],"study_design_scores_gemma":[0.001292843,0.00006751509,0.008552101,0.00025243137,0.0000031259108,0.00029406833,0.013127185,0.15199417,0.0005353811,0.0014255227,0.8219068,0.0005488687],"about_ca_topic_score_codex":0.00006264632,"about_ca_topic_score_gemma":0.000028618751,"teacher_disagreement_score":0.8672114,"about_ca_system_score_codex":0.00008488099,"about_ca_system_score_gemma":0.00013838852,"threshold_uncertainty_score":0.43440983},"labels":[],"label_agreement":null},{"id":"W4214754302","doi":"10.1080/17517575.2021.1886331","title":"Spacecraft Informatics","year":2021,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Spacecraft; Computer science; Systems engineering; Engineering; Aerospace engineering","score_opus":0.008313530690807616,"score_gpt":0.21923251278472722,"score_spread":0.2109189820939196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214754302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037562512,0.0001398934,0.93288505,0.00015065748,0.0024379767,0.00016835448,0.000013869159,0.00039948302,0.06004847],"genre_scores_gemma":[0.99385583,0.000010199042,0.0046697115,0.0004106696,0.00010205803,0.000020446587,0.0000977631,0.0000046221203,0.00082871364],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981906,0.00008979312,0.0008471556,0.00010248234,0.00048452173,0.0002854503],"domain_scores_gemma":[0.99840075,0.00005987839,0.00035989334,0.000689096,0.00035835712,0.00013201266],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004308317,0.00015712576,0.00022195862,0.00013388057,0.0001338505,0.001238724,0.00061692257,0.00008148009,0.00000982665],"category_scores_gemma":[0.000062485306,0.00014885399,0.00008918296,0.00050555053,0.00001315428,0.002999821,0.00025249683,0.00012791036,0.0015619751],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027886883,0.00027662114,0.019773528,0.0020497323,0.00041174516,0.00013406239,0.08435069,0.165621,0.00012960564,0.3808122,0.30072483,0.045688115],"study_design_scores_gemma":[0.0004088802,0.000020403959,0.0004313902,0.00013601124,0.0000032013013,0.00027372263,0.0009567019,0.31894195,0.000073966825,0.000039773728,0.6784879,0.00022610454],"about_ca_topic_score_codex":0.000017917211,"about_ca_topic_score_gemma":5.891429e-7,"teacher_disagreement_score":0.99009955,"about_ca_system_score_codex":0.00006949219,"about_ca_system_score_gemma":0.0001568007,"threshold_uncertainty_score":0.99979806},"labels":[],"label_agreement":null},{"id":"W4236324467","doi":"10.1080/17517571003770468","title":"Guest Editor's foreword","year":2010,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science","score_opus":0.009218226475842205,"score_gpt":0.26490425711744536,"score_spread":0.25568603064160317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236324467","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28299198,0.000044221513,0.18059227,0.0033623895,0.047721114,0.0014471866,0.000027861062,0.0004976639,0.48331532],"genre_scores_gemma":[0.99520713,0.000003733947,0.00028998288,0.0009112135,0.003036856,0.000057647547,0.00003728784,0.0000045532574,0.00045160615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990862,0.000027527743,0.00049038796,0.000074841024,0.0001269902,0.00019403826],"domain_scores_gemma":[0.9992358,0.00017072064,0.00010959563,0.00022453378,0.00009440577,0.00016495035],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005932639,0.000097353484,0.00026764008,0.000071338436,0.00007094089,0.000022365943,0.000073488925,0.00022261769,0.0003532455],"category_scores_gemma":[0.00051240536,0.000067130015,0.00007690133,0.000053842297,0.00011256183,0.00031190936,0.000028569995,0.0003312208,0.0018817219],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018024546,0.00011668645,0.0074792793,0.00037790844,0.000073121424,0.000004994004,0.0006638594,0.000014114988,0.000118413365,0.9063293,0.083808,0.0008340827],"study_design_scores_gemma":[0.0015062456,0.0002525265,0.0023509853,0.00016905022,0.00006576762,0.00038451704,0.00029265534,0.050875027,0.00017938112,0.0058917883,0.93778265,0.0002493924],"about_ca_topic_score_codex":0.000007851964,"about_ca_topic_score_gemma":9.216204e-7,"teacher_disagreement_score":0.90043753,"about_ca_system_score_codex":0.000010664994,"about_ca_system_score_gemma":0.000024482692,"threshold_uncertainty_score":0.9988954},"labels":[],"label_agreement":null},{"id":"W4248266516","doi":"10.4018/978-1-61692-852-0.ch808","title":"Flow-based Adaptive Information Integration","year":2011,"lang":"en","type":"book-chapter","venue":"Enterprise Information Systems","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Business Process Execution Language; Computer science; Workflow; Semantic Web Rule Language; Web service; Semantic Web; Semantic integration; Information integration; SOAP; Business process; Service-oriented architecture; Software engineering; World Wide Web; Database; Semantic Web Stack; Semantic analytics; Work in process","score_opus":0.011622286205999073,"score_gpt":0.1920867340005437,"score_spread":0.18046444779454465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248266516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000042574075,0.000079288104,0.5833028,0.00005723421,0.0016260659,0.00060266786,0.00007664294,0.00034550278,0.41390553],"genre_scores_gemma":[0.7317884,0.0005387964,0.1027189,0.04064405,0.0040145963,0.0022220735,0.020898692,0.00046838642,0.0967061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99719024,0.00005049784,0.0013499025,0.0002529021,0.0008432816,0.00031316243],"domain_scores_gemma":[0.99669117,0.00007249352,0.0013623474,0.0009985173,0.00070432783,0.00017117201],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036353563,0.00054259127,0.00045540114,0.0009959114,0.0001804585,0.00075652864,0.0012282477,0.00043775456,0.000075910306],"category_scores_gemma":[0.000009013364,0.0004781869,0.0002208614,0.00015832072,0.000034087236,0.00748384,0.00022799661,0.00047481616,0.0034892003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015018873,0.000026565374,0.000008350215,0.00056310947,0.00017579723,0.0000054240077,0.027086046,0.0055380766,0.000002519975,0.7888239,0.0052964194,0.17232358],"study_design_scores_gemma":[0.00060157507,0.00020462136,0.000016384427,0.0010260645,0.00003492683,0.000024227338,0.00025591618,0.27058578,0.000084516054,0.0018826285,0.7246215,0.000661859],"about_ca_topic_score_codex":0.00019616434,"about_ca_topic_score_gemma":0.000025405525,"teacher_disagreement_score":0.7869413,"about_ca_system_score_codex":0.00019204429,"about_ca_system_score_gemma":0.00022029121,"threshold_uncertainty_score":0.999767},"labels":[],"label_agreement":null},{"id":"W4249397856","doi":"10.4018/978-1-61692-852-0.ch121","title":"Technology and Human Resources Management in Health Care","year":2011,"lang":"en","type":"book-chapter","venue":"Enterprise Information Systems","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Functional illiteracy; Information and Communications Technology; Business; Telehealth; Health care; Knowledge management; Isolation (microbiology); Rural area; Quality (philosophy); Information technology; Telemedicine; Nursing; Medicine; World Wide Web; Computer science; Economic growth; Political science","score_opus":0.0186833068586321,"score_gpt":0.29975759652824274,"score_spread":0.2810742896696106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249397856","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056075756,0.0043300237,0.00043283554,0.000961641,0.0004796682,0.004195369,0.000065786626,0.00026085778,0.98366624],"genre_scores_gemma":[0.8910257,0.0019898673,0.00047755355,0.002750666,0.00034595066,0.0003747351,0.0016831299,0.00008791173,0.101264454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99803376,0.000015677384,0.001241117,0.00017018526,0.0003029344,0.00023630934],"domain_scores_gemma":[0.99880517,0.000008671618,0.00067417714,0.00029815448,0.00008988331,0.00012396646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025768043,0.0002276236,0.00049284054,0.0018902506,0.000085591346,0.000025580921,0.00007808554,0.00020302284,0.00007661786],"category_scores_gemma":[0.00000475089,0.0002119258,0.000036714875,0.000083696104,0.000049129012,0.00018648567,0.000070416776,0.00029157838,0.0000824396],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003342797,0.00005561608,0.01887241,0.030110126,0.00044948034,0.00012708799,0.05837252,0.0000026272962,0.0000015653306,0.47752893,0.030760247,0.3833851],"study_design_scores_gemma":[0.0017021083,0.0004651824,0.0019018331,0.0020821472,0.000035037872,0.00007972345,0.005569313,0.0000036419124,0.0000011940778,0.00018890893,0.9878214,0.00014949383],"about_ca_topic_score_codex":0.0002857644,"about_ca_topic_score_gemma":0.00003657191,"teacher_disagreement_score":0.9570612,"about_ca_system_score_codex":0.00029683483,"about_ca_system_score_gemma":0.00005249701,"threshold_uncertainty_score":0.8642083},"labels":[],"label_agreement":null},{"id":"W4282587913","doi":"10.1080/17517575.2022.2086021","title":"Blockchain-based traceability system for supply chain: potentials, gaps, applicability and adoption game","year":2022,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Traceability; Competition (biology); Dilemma; Supply chain; Investment (military); Business; Industrial organization; Game theory; Commerce; Microeconomics; Economics; Marketing; Computer science","score_opus":0.00645373479364893,"score_gpt":0.2091503874881968,"score_spread":0.20269665269454787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282587913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1889919,0.00024686442,0.8050311,0.00089083536,0.0005082052,0.0028621443,0.000228382,0.0010784902,0.00016205889],"genre_scores_gemma":[0.9931069,0.0000020226735,0.0027681817,0.00013612062,0.000037504833,0.003862585,0.00006592437,0.000008594733,0.000012166777],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978279,0.00018936709,0.0008380716,0.00040538958,0.0004175575,0.00032170114],"domain_scores_gemma":[0.9980927,0.0001528431,0.00045526927,0.0009839573,0.0002043949,0.000110825225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019581774,0.00020947712,0.00031845554,0.00026940825,0.00062253705,0.00019714209,0.0007463416,0.00012912811,0.000006316488],"category_scores_gemma":[0.00003399172,0.00021846071,0.000114392686,0.00044484728,0.00007994314,0.0002535491,0.0002919481,0.00024565007,0.000011721577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004421641,0.0011639659,0.010310078,0.0046883747,0.00017686066,0.0000049671817,0.012389944,0.08036435,0.00074833084,0.80921805,0.0034252913,0.07706762],"study_design_scores_gemma":[0.0011126585,0.00016293272,0.0011117399,0.000027355341,0.00001370528,0.000060469785,0.0020336674,0.95376074,0.00022417479,0.00037317912,0.040837802,0.0002815875],"about_ca_topic_score_codex":0.000082110135,"about_ca_topic_score_gemma":0.0000022407644,"teacher_disagreement_score":0.8733964,"about_ca_system_score_codex":0.00033173556,"about_ca_system_score_gemma":0.00008797392,"threshold_uncertainty_score":0.8908569},"labels":[],"label_agreement":null},{"id":"W4365151427","doi":"10.1080/17517575.2023.2200767","title":"A human factor approach to distribution network design for e-commerce in supply chain system: a case study","year":2023,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Supply chain; E-commerce; Supply chain management; Product (mathematics); Business; Distribution (mathematics); Computer science; Process management; Risk analysis (engineering); Marketing; World Wide Web; Mathematics","score_opus":0.03329805152436535,"score_gpt":0.2660620721079461,"score_spread":0.23276402058358073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365151427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6751598,0.000018273315,0.31105816,0.00010117104,0.0011825273,0.010445291,0.000058296053,0.0005433952,0.0014330366],"genre_scores_gemma":[0.99613655,8.8270235e-7,0.000059832113,0.00017836159,0.00052419485,0.002545702,0.0003843024,0.000019979265,0.00015018196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979074,0.00006109499,0.00087370473,0.0002565449,0.00039301175,0.0005082352],"domain_scores_gemma":[0.9990966,0.00006364607,0.00032583292,0.0003439729,0.00013695958,0.000032999134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016963016,0.0002449417,0.00033261426,0.00062513805,0.0004013768,0.00075613934,0.0003054558,0.00007127557,0.000003864912],"category_scores_gemma":[0.00005708767,0.0002171246,0.000079688754,0.0014145516,0.000012274353,0.0017988904,0.00018703224,0.000096894066,0.00038872886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020666458,0.0004563003,0.0667993,0.0030016382,0.00012723256,0.00020108711,0.012823024,0.7945666,0.000006504559,0.010250251,0.10868449,0.0028769225],"study_design_scores_gemma":[0.00280126,0.00012368079,0.014325477,0.00044117597,0.00005873618,0.000051010753,0.19700192,0.72758806,0.000001399122,0.0000182273,0.056942202,0.0006468563],"about_ca_topic_score_codex":0.0025859778,"about_ca_topic_score_gemma":0.000059176757,"teacher_disagreement_score":0.32097673,"about_ca_system_score_codex":0.00020663792,"about_ca_system_score_gemma":0.00001383389,"threshold_uncertainty_score":0.8854084},"labels":[],"label_agreement":null},{"id":"W4403689435","doi":"10.1080/17517575.2024.2417404","title":"NLP4PBM: a systematic review on process extraction using natural language processing with rule-based, machine and deep learning methods","year":2024,"lang":"en","type":"review","venue":"Enterprise Information Systems","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Telfer School of Management, University of Ottawa","keywords":"Computer science; Process (computing); Artificial intelligence; Extraction (chemistry); Natural language processing; Natural language; Machine learning; Programming language","score_opus":0.022323121808062143,"score_gpt":0.3508063942505889,"score_spread":0.3284832724425268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403689435","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000881868,0.9493896,0.047792193,0.0000198744,0.00032361978,0.0017569301,0.000005699058,0.0003412435,0.00036201757],"genre_scores_gemma":[0.008316882,0.9879827,0.0006092188,0.00051432196,0.0005898084,0.00088952103,0.00076064694,0.00017216316,0.00016473707],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99658376,0.00015376827,0.0017623705,0.00044774893,0.0007083698,0.0003439987],"domain_scores_gemma":[0.9963262,0.00009219398,0.0027295577,0.00033690984,0.00048294233,0.0000322021],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0017427942,0.0007883996,0.0024280625,0.0013584218,0.00034632153,0.0021914856,0.00030860328,0.00020993127,0.0000074011687],"category_scores_gemma":[0.00029905463,0.00049455103,0.00031009663,0.0016317156,0.00003581069,0.003291729,0.000080008744,0.000843632,0.0001435866],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009440936,0.000013574239,0.00000178687,0.8510789,0.00014316879,0.00000784891,0.00014081024,0.0012827078,7.687109e-8,0.000009808742,0.000006835199,0.14730501],"study_design_scores_gemma":[0.00012169448,0.000005844969,4.418299e-8,0.5823687,0.0053341994,0.000088401306,0.00044223454,0.3902207,9.4045966e-8,0.0000011517008,0.020986905,0.0004300392],"about_ca_topic_score_codex":0.0001237574,"about_ca_topic_score_gemma":0.000002981092,"teacher_disagreement_score":0.388938,"about_ca_system_score_codex":0.00016664554,"about_ca_system_score_gemma":0.00012298819,"threshold_uncertainty_score":0.9997506},"labels":[],"label_agreement":null},{"id":"W4409344517","doi":"10.1080/17517575.2025.2490920","title":"Big data and Omnipresent AI","year":2025,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Big data; Computer science; Data science; Data mining","score_opus":0.0627055246316916,"score_gpt":0.2954843611064689,"score_spread":0.23277883647477732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409344517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022277586,0.0013492007,0.61412907,0.0049093827,0.016087832,0.0014999856,0.00022915275,0.000611651,0.33890614],"genre_scores_gemma":[0.9958002,0.000034565484,0.00001855852,0.002505396,0.00056177046,0.000020004953,0.0005017993,0.000004510487,0.00055321614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910027,0.0000057362404,0.0004033158,0.00014471721,0.0001995738,0.00014639806],"domain_scores_gemma":[0.9990512,0.000021962718,0.00016320749,0.00059689704,0.00015818501,0.000008509116],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003282543,0.00011505149,0.00013543299,0.00033570584,0.00012520401,0.0011592767,0.0005073874,0.000052886462,0.000028482715],"category_scores_gemma":[0.00011931402,0.00009751572,0.00001582553,0.00038114202,0.000035319554,0.0061943866,0.0007667675,0.000083062376,0.0005589322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093258495,0.000070083486,0.06630728,0.00270492,0.00009663265,0.0000039223164,0.00025839105,0.0001865313,0.00003771423,0.06206937,0.61125493,0.25691694],"study_design_scores_gemma":[0.00017388433,0.0000010544101,0.0016521584,0.00018823893,0.000016254851,0.0000033322356,0.00034447227,0.04714496,0.00000787129,0.000112857604,0.95025355,0.00010134911],"about_ca_topic_score_codex":0.00057744037,"about_ca_topic_score_gemma":0.000013200914,"teacher_disagreement_score":0.9735226,"about_ca_system_score_codex":0.000014045945,"about_ca_system_score_gemma":0.000021775122,"threshold_uncertainty_score":0.99987763},"labels":[],"label_agreement":null},{"id":"W4411728844","doi":"10.1080/17517575.2025.2524841","title":"Managing the influence of past changes on information system evolution: lessons from an historical narrativist case study","year":2025,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Information system; Computer science; History; Knowledge management; Business; Process management; Data science; Engineering","score_opus":0.02036927900584713,"score_gpt":0.3230245276200414,"score_spread":0.3026552486141943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411728844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9392582,0.000028049897,0.032037865,0.001778322,0.002795083,0.002811754,0.0001237683,0.00024239074,0.020924527],"genre_scores_gemma":[0.99915695,0.0000034073587,0.000011695674,0.00020265632,0.00016122362,0.0002790343,0.000055959106,0.0000039989677,0.00012506261],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99698156,0.0006162648,0.0012710742,0.000108083645,0.0007832657,0.00023972875],"domain_scores_gemma":[0.99763906,0.00017272939,0.0010374868,0.00043600873,0.00063751155,0.00007722259],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002024074,0.00017524087,0.00027631802,0.0004408348,0.0013098156,0.00053626776,0.00035999497,0.00008898148,0.0000073233664],"category_scores_gemma":[0.000107732754,0.00013911835,0.000055209744,0.00066161517,0.000077889104,0.0040102224,0.000060672646,0.00014109776,0.00005466262],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016446937,0.00008937473,0.012339273,0.00033443936,0.00014214958,0.000007709645,0.7543951,0.0098120915,0.0000044377985,0.20987032,0.0023204463,0.010520181],"study_design_scores_gemma":[0.00070863107,0.0001577049,0.0041024713,0.0002887073,0.00003393775,0.00001885526,0.91807514,0.0023066534,0.0000052907244,0.000036568497,0.07410015,0.00016588364],"about_ca_topic_score_codex":0.03246447,"about_ca_topic_score_gemma":0.0012836779,"teacher_disagreement_score":0.20983374,"about_ca_system_score_codex":0.0015317451,"about_ca_system_score_gemma":0.00016483775,"threshold_uncertainty_score":0.99999034},"labels":[],"label_agreement":null},{"id":"W4411978218","doi":"10.1080/17517575.2025.2524847","title":"Human factors in digital healthcare systems: a critical literature review","year":2025,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Health care; Healthcare system; Computer science; Business; Knowledge management; Medicine; Political science","score_opus":0.008327669252322409,"score_gpt":0.25568302846056584,"score_spread":0.24735535920824342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411978218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63341177,0.22581267,0.0067082425,0.0005537224,0.015370643,0.005260744,0.0015568456,0.0021333068,0.10919207],"genre_scores_gemma":[0.99857813,0.0008575858,0.000002117503,0.00011351525,0.000040259874,0.00006962052,0.00019820589,0.000010383046,0.00013019278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986988,0.000021124095,0.00083077414,0.00009073842,0.00013863304,0.00021993682],"domain_scores_gemma":[0.99949116,0.00003930234,0.00005949554,0.0002377365,0.000095595155,0.000076708115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001488731,0.00018086837,0.00032727612,0.0003430086,0.000060575272,0.00060939864,0.00016116482,0.00011012623,0.0000051081606],"category_scores_gemma":[0.00004813409,0.00016670182,0.000071286086,0.00024211718,0.000014768934,0.0014497744,0.000029553948,0.00023844451,0.000056316378],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036636287,0.00017624455,0.09719585,0.29160297,0.00040878198,0.000050431303,0.030529395,0.022415573,0.000051140287,0.38458148,0.16959189,0.0033596084],"study_design_scores_gemma":[0.0018831305,0.00014961576,0.014839333,0.18691334,0.00006060782,0.000055304477,0.007238576,0.037420154,0.000036161004,0.00023281868,0.74926466,0.0019063202],"about_ca_topic_score_codex":0.000034464614,"about_ca_topic_score_gemma":0.0000055943115,"teacher_disagreement_score":0.57967275,"about_ca_system_score_codex":0.00024947073,"about_ca_system_score_gemma":0.000021860254,"threshold_uncertainty_score":0.67979026},"labels":[],"label_agreement":null},{"id":"W4413611743","doi":"10.1080/17517575.2025.2549972","title":"The impact of technological similarity on overseas post-M&amp;A innovation performance: based on the dynamic moderating role of resource dependence","year":2025,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pierre Elliott Trudeau Foundation","funders":"Hang Seng University of Hong Kong","keywords":"Dynamic capabilities; Business; Knowledge management; Resource (disambiguation); Industrial organization; Similarity (geometry); Structural equation modeling; Computer science; Computer network","score_opus":0.010215482635071068,"score_gpt":0.24504382295116703,"score_spread":0.23482834031609595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413611743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9421617,0.0000128081065,0.0045415885,0.00048401539,0.0001315359,0.00044995404,0.000017051956,0.000049222588,0.052152134],"genre_scores_gemma":[0.9993692,0.0000017772737,0.000008430105,0.00044388644,0.000026229476,0.000034555847,0.0000600125,0.000003977295,0.000051923536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988073,0.000019560974,0.0005649441,0.000079246674,0.0004055367,0.00012342742],"domain_scores_gemma":[0.99827456,0.00018160616,0.00061279,0.00026891538,0.00065908884,0.00000302734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083037425,0.00012001397,0.00013312633,0.00038876157,0.00026919867,0.00022903636,0.00030633959,0.00007303491,0.000015424926],"category_scores_gemma":[0.000539035,0.00006545612,0.00007143407,0.0006606168,0.00006208653,0.00079109694,0.00007648016,0.00016568285,0.000022626507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011027068,0.00016899241,0.032107975,0.00046032888,0.00010131716,3.0232297e-7,0.00021779137,0.40558633,0.0012767399,0.54190946,0.001303531,0.015764523],"study_design_scores_gemma":[0.0002893928,0.000026965212,0.025557093,0.0004279858,0.000007737606,4.6474227e-7,0.0007581691,0.9666007,0.00013706865,0.00026705235,0.0058444995,0.000082832215],"about_ca_topic_score_codex":0.0001987643,"about_ca_topic_score_gemma":0.000003877823,"teacher_disagreement_score":0.5610144,"about_ca_system_score_codex":0.0000920291,"about_ca_system_score_gemma":0.000046174802,"threshold_uncertainty_score":0.26692232},"labels":[],"label_agreement":null},{"id":"W7077279172","doi":"10.1080/17517575.2025.2529282","title":"A cybersecurity framework for enhancing Small and medium-sized enterprises (SMEs) security posture using user behaviour analytics","year":2025,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Blueprint; NIST; Work (physics); Analytics; Face (sociological concept); Path (computing); Big data","score_opus":0.0115961119073705,"score_gpt":0.25599109008390153,"score_spread":0.24439497817653102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7077279172","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08931773,0.00018866699,0.9066828,0.00063215604,0.0011565959,0.0006682413,0.000028922072,0.00016729794,0.0011576128],"genre_scores_gemma":[0.98535234,0.00001630438,0.013890183,0.00044662209,0.00007359801,0.000060821185,0.0000238935,0.0000030241767,0.00013322488],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983161,0.000074693824,0.0007511722,0.0002792423,0.00023465956,0.00034410125],"domain_scores_gemma":[0.9983228,0.00028807292,0.0004027924,0.0004959132,0.0003789398,0.0001115062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007108989,0.0002405292,0.00035096589,0.00020505759,0.0002741885,0.00058368134,0.0005451207,0.00025518733,0.0000047941007],"category_scores_gemma":[0.00052672095,0.00022837902,0.00011340744,0.00034938785,0.000043201217,0.0010729588,0.00035204008,0.00026882289,0.0000048349034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008947604,0.00089970895,0.37758145,0.015140533,0.0017222498,0.00006924269,0.18342431,0.012458917,0.004428676,0.3838623,0.013402097,0.0061157737],"study_design_scores_gemma":[0.005969269,0.00027739143,0.013283514,0.0067428765,0.00040436903,0.00029181794,0.021278722,0.7594595,0.0139453495,0.02712362,0.14877497,0.0024485888],"about_ca_topic_score_codex":0.0000915324,"about_ca_topic_score_gemma":0.000019066367,"teacher_disagreement_score":0.8960346,"about_ca_system_score_codex":0.00009866304,"about_ca_system_score_gemma":0.00015627795,"threshold_uncertainty_score":0.93130267},"labels":[],"label_agreement":null}]}