{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":84,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":84,"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":"9f006cb7e1b3","filters":{"venue":"Information Systems Frontiers"}},"results":[{"id":"W1967598421","doi":"10.1007/s10796-006-7970-2","title":"Enterprise architecture: Management tool and blueprint for the organisation","year":2006,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":223,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Blueprint; Computer science; Process management; Enterprise architecture; Knowledge management; Architecture; Enterprise architecture management; Business; Software engineering; Engineering management; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.003728461325687436,"gpt":0.1664594277444855,"spread":0.1627309664187981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002848873,0.0001125287,0.0001038234,0.000186183,0.0002641317,0.0005104549,0.0001524618,0.00006334195,0.000006882415],"category_scores_gemma":[0.00001739144,0.00008231081,0.00003730258,0.0001362867,0.00004283633,0.002100334,0.00004981628,0.00006297546,0.00009351003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004012297,"about_ca_system_score_gemma":0.000007044438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000186149,"about_ca_topic_score_gemma":0.000006437919,"domain_scores_codex":[0.9991832,0.00000268125,0.0004004686,0.00007320431,0.0001785343,0.0001618624],"domain_scores_gemma":[0.9993799,0.00001527926,0.0003441376,0.0001688905,0.00008814871,0.000003649991],"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":[0.00007992906,0.00001523378,0.005737273,0.0006580068,0.00008876899,6.080404e-7,0.0004083251,0.006361684,0.00001005457,0.7359375,0.1700929,0.08060978],"study_design_scores_gemma":[0.0006933306,0.00000612859,0.008901023,0.00002832183,0.00004231988,0.000004793103,0.003916345,0.03683762,0.00002081696,0.003725101,0.9456432,0.0001810055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02445134,0.0001761459,0.9395924,0.001110482,0.001423043,0.001699468,0.00001335023,0.0002739949,0.03125975],"genre_scores_gemma":[0.9976243,0.00001834858,0.000672958,0.0008434685,0.0002633947,0.0002133646,0.00006201096,0.000007371561,0.0002947672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.973173,"threshold_uncertainty_score":0.4922328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214942876","doi":"10.1007/s10796-022-10249-6","title":"Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":138,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Toronto; University of Cambridge; Anglia Ruskin University","keywords":"Cash flow; Coronavirus disease 2019 (COVID-19); Business intelligence; Business; Scale (ratio); Pandemic; Business risks; Business operations; Marketing; Industrial organization; Computer science; Finance; Knowledge management; Risk analysis (engineering)","retraction":null,"screen_n_in":null,"score":{"opus":0.06382053645731701,"gpt":0.2769719535621729,"spread":0.2131514171048559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196775,0.0001772531,0.000456847,0.0009859795,0.0007477398,0.0002811695,0.0003417196,0.00007530364,0.00009418331],"category_scores_gemma":[0.0008068046,0.0001766963,0.0001146704,0.001527847,0.0001337345,0.000889327,0.000155129,0.0002467789,0.00004192926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560146,"about_ca_system_score_gemma":0.0001489438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004982397,"about_ca_topic_score_gemma":0.0000798387,"domain_scores_codex":[0.9979963,0.00009230983,0.001199288,0.0002540275,0.0001396478,0.0003184052],"domain_scores_gemma":[0.9984178,0.000136748,0.0008061787,0.0004417223,0.00005963826,0.0001379155],"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":[0.0001498385,0.00002968497,0.3971529,0.0005100996,0.0007463056,0.000002488259,0.03701757,0.5500414,0.00001390547,0.01041903,0.001562323,0.002354422],"study_design_scores_gemma":[0.0006812358,0.00007315227,0.1755405,0.00001718282,0.0002245631,0.0001605675,0.07498434,0.5593528,0.000006815701,0.01009953,0.1776617,0.001197611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8146932,0.001725988,0.1786403,0.001280808,0.001604652,0.0007614465,0.0006342123,0.0001400029,0.0005193535],"genre_scores_gemma":[0.99872,0.0001172522,0.0000522936,0.000536247,0.00003710516,0.0001929067,0.00006759999,0.00001102928,0.0002655828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2216123,"threshold_uncertainty_score":0.7531928,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2032552610","doi":"10.1007/s10796-013-9458-1","title":"Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing","year":2013,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Green IT and Sustainability","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Cloud computing; Android (operating system); Mobile device; Mobile cloud computing; Computation offloading; Efficient energy use; Computation; Embedded system; Mobile computing; Context (archaeology); Operating system; Distributed computing; Edge computing","retraction":null,"screen_n_in":null,"score":{"opus":0.006405268328832486,"gpt":0.1974536957036676,"spread":0.1910484273748351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003932374,0.0001834888,0.0002792883,0.0003244799,0.0001278778,0.0002102261,0.0001083138,0.0001074158,0.000002996586],"category_scores_gemma":[0.0000496128,0.0001968194,0.00006581304,0.0002419176,0.00001756911,0.001223467,0.00001863443,0.000108971,0.00002771785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004379741,"about_ca_system_score_gemma":0.00002000886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003958398,"about_ca_topic_score_gemma":0.000009075491,"domain_scores_codex":[0.998556,0.0000403211,0.0007369761,0.0001162906,0.000189779,0.0003606554],"domain_scores_gemma":[0.99938,0.000111435,0.0001417764,0.0001317886,0.0001652062,0.00006980151],"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":[0.00001137903,0.00001134462,0.00402846,0.0005672783,0.00002662838,4.115591e-7,0.006569033,0.8975086,0.00009011667,0.0004082427,0.01117556,0.07960294],"study_design_scores_gemma":[0.0006133685,0.00003505188,0.001572798,0.0001308002,0.00000372285,0.000002356074,0.02069228,0.9669623,0.0001960686,0.0001362522,0.009409357,0.0002456774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5483754,0.0001495466,0.4465311,0.00001078567,0.002497419,0.0007540695,0.000005962375,0.0002769604,0.001398756],"genre_scores_gemma":[0.9979236,0.000004985909,0.001461113,0.00003710829,0.0001636509,0.0002979207,0.00006468487,0.0000214034,0.00002554507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4495482,"threshold_uncertainty_score":0.8026061,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1994225721","doi":"10.1007/s10796-014-9533-2","title":"Service delivery through mobile-government (mGov): Driving factors and cultural impacts","year":2014,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Hofstede's cultural dimensions theory; Government (linguistics); Service (business); Psychology; Empirical research; Social psychology; Cognition; Service delivery framework; Marketing; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.0115694025946745,"gpt":0.2434117787381543,"spread":0.2318423761434798,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006772472,0.0001691794,0.0002146958,0.00003566345,0.0005189815,0.0007376903,0.0002532362,0.0001373491,0.00002513556],"category_scores_gemma":[0.00008449655,0.000136328,0.00004749693,0.0002207219,0.00008641675,0.006111917,0.0000664091,0.00009395601,0.00004132673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003685364,"about_ca_system_score_gemma":0.00005223039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01345148,"about_ca_topic_score_gemma":0.001397922,"domain_scores_codex":[0.997957,0.0001421575,0.0003835883,0.0001223196,0.001054439,0.0003405046],"domain_scores_gemma":[0.999087,0.00008463403,0.0003525851,0.0001529665,0.000149706,0.0001730803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003167429,0.00003016087,0.5698541,0.0003699603,0.000173023,3.854934e-7,0.3569894,0.0003707319,0.00004998619,0.01841738,0.0467293,0.006983817],"study_design_scores_gemma":[0.0002991922,0.00002738708,0.007400818,0.00005341306,0.00001553788,7.282911e-7,0.3732417,0.001444582,0.00003212927,0.00002618047,0.6172556,0.0002027028],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9393209,0.0002528615,0.001394989,0.0005277741,0.00185351,0.0004819321,0.00002221736,0.0001291838,0.05601669],"genre_scores_gemma":[0.9986818,0.0001340421,0.0001643979,0.0005196073,0.0002078237,0.00002909132,0.00002654595,0.000006691413,0.0002299615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5705264,"threshold_uncertainty_score":0.993118,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587100583","doi":"10.1007/s10796-017-9739-1","title":"A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa","year":2017,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Mount Royal University","funders":"","keywords":"Cloud computing; Information and Communications Technology; Computer science; Structural equation modeling; Knowledge management; Technology acceptance model; Information technology; Distributed lag; Survey data collection; Business; Data science; World Wide Web; Usability","retraction":null,"screen_n_in":null,"score":{"opus":0.07696492469569657,"gpt":0.3361619795393694,"spread":0.2591970548436728,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712956,0.0001691958,0.0004069649,0.0007161574,0.0006422552,0.0005625405,0.0008146237,0.0002659434,0.00001015422],"category_scores_gemma":[0.0004768057,0.0001480687,0.0001028939,0.0002238687,0.0002915816,0.003958416,0.0002098391,0.0002144014,0.00004868798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004235413,"about_ca_system_score_gemma":0.0001217999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003646316,"about_ca_topic_score_gemma":0.00003354531,"domain_scores_codex":[0.9975453,0.00007137375,0.00110954,0.000182014,0.0008009637,0.0002908144],"domain_scores_gemma":[0.9970952,0.0001066838,0.001684656,0.0006177066,0.0004166029,0.00007909721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001689673,0.0000285127,0.9143635,0.00003932074,0.00003180102,0.000002388155,0.01612506,0.05243903,0.0003270117,0.001619992,0.01185041,0.003003993],"study_design_scores_gemma":[0.00242064,0.00005944068,0.4377826,0.0001691254,0.00002030577,0.00001223492,0.09697757,0.4512219,0.0005089667,0.0001544564,0.01021462,0.0004580546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599655,0.0001113914,0.03492676,0.00003003707,0.001420764,0.0002499455,0.0001424789,0.00008174583,0.003071324],"genre_scores_gemma":[0.9991975,0.00001087103,0.0002094093,0.00001157573,0.00002052552,0.000002410465,0.00002039275,0.000006075965,0.0005212407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4765809,"threshold_uncertainty_score":0.6038066,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1984703838","doi":"10.1007/s10796-008-9119-y","title":"A ubiquitous smart home for elderly","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Telehealth; Home automation; Telemedicine; Computer science; Emerging technologies; Health care; Perspective (graphical); Telecommunications; Risk analysis (engineering); Internet privacy; Business; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.0146207608022139,"gpt":0.2045023298638131,"spread":0.1898815690615992,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310004,0.0001282311,0.0002001239,0.0002312017,0.0003435056,0.0002593776,0.0005163315,0.00008214728,1.846761e-7],"category_scores_gemma":[0.00002913677,0.0001226808,0.00008580614,0.0002605157,0.00002645851,0.002501125,0.00006635857,0.00007412327,0.0001413567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008808784,"about_ca_system_score_gemma":0.0001062493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004323193,"about_ca_topic_score_gemma":1.597135e-7,"domain_scores_codex":[0.9987751,0.00002585541,0.0004706977,0.0001298132,0.0002720959,0.0003264404],"domain_scores_gemma":[0.9991258,0.00003506167,0.0002159447,0.0003280263,0.0002019418,0.00009324299],"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":[0.0000157741,0.00001534823,0.001642983,0.0001497257,0.0000464183,0.000004177432,0.01122814,0.0004820413,0.00001166186,0.003208608,0.9242464,0.05894878],"study_design_scores_gemma":[0.000605371,0.0001066321,0.0005856389,0.00002793478,0.000003312143,0.0001070871,0.0002195654,0.1759072,0.00005384461,0.000139367,0.822006,0.0002380737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01124491,0.0001628978,0.9535398,0.0001360374,0.02985557,0.0004392801,0.000001123299,0.0003164335,0.004303983],"genre_scores_gemma":[0.9072399,0.00002152868,0.08661245,0.0007554364,0.003107965,0.000227569,0.00005214019,0.00002424454,0.00195882],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.895995,"threshold_uncertainty_score":0.5002776,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001718223","doi":"10.1007/s10796-008-9087-2","title":"Towards ubiquitous tourist service coordination and process integration: A collaborative travel agent system architecture with semantic web services","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":67,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Computer science; World Wide Web; Service (business); The Internet; Tourism; Web service; Ontology; Knowledge management; Semantic Web; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.007626393605980233,"gpt":0.1839141665359081,"spread":0.1762877729299279,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002738793,0.0002491459,0.0003198597,0.0003879432,0.0004182942,0.0006749699,0.0001849861,0.0001147377,0.000005361708],"category_scores_gemma":[0.00001066833,0.0001907643,0.00002715087,0.0007030974,0.00003973716,0.004852011,0.00003442662,0.0001348843,0.00006358977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009606689,"about_ca_system_score_gemma":0.00009721545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008767643,"about_ca_topic_score_gemma":0.000221575,"domain_scores_codex":[0.9987429,0.0000103776,0.0005243582,0.000182688,0.0003217907,0.0002178468],"domain_scores_gemma":[0.9985128,0.00001039243,0.0006138103,0.0001646438,0.0006678512,0.00003047041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005432996,0.0005414076,0.2291892,0.1210387,0.003322131,0.0003481881,0.2905491,0.1108445,0.000318549,0.07705511,0.08903895,0.07232115],"study_design_scores_gemma":[0.004432695,0.0001124584,0.01602797,0.002183287,0.0002291761,0.0005520775,0.2220482,0.6589599,0.0001458724,0.0001773496,0.0937169,0.001414076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126078,0.0002928523,0.04300321,0.0008489173,0.001617271,0.002048116,0.00006160179,0.0004744725,0.03904577],"genre_scores_gemma":[0.9983658,0.000006583016,0.000229091,0.0005604567,0.0003593387,0.0001411834,0.0002289703,0.0000150089,0.00009363508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5481154,"threshold_uncertainty_score":0.7779142,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979373037","doi":"10.1007/s10796-012-9361-1","title":"Motivations underlying the adoption of ERP systems in healthcare organizations: Insights from online stories","year":2012,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Health care; Business; Popularity; Knowledge management; Quality (philosophy); Marketing; Computer science; Psychology; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.04311385869918177,"gpt":0.2826658189747398,"spread":0.239551960275558,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004269674,0.0001672867,0.0002768015,0.0005629776,0.0002534066,0.0003440772,0.0001953536,0.00009516993,0.00001001872],"category_scores_gemma":[0.0002219885,0.0001300158,0.00003809068,0.001248158,0.00003629279,0.007454129,0.00004365012,0.0001258678,0.00008389712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247371,"about_ca_system_score_gemma":0.00006409483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01702819,"about_ca_topic_score_gemma":0.0002678008,"domain_scores_codex":[0.9980432,0.00007365073,0.001101322,0.00008955163,0.000443187,0.0002491334],"domain_scores_gemma":[0.9981247,0.00006046484,0.0009704945,0.0002609782,0.0005568544,0.00002653391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003770363,0.0001384944,0.7370982,0.001196881,0.0001515729,2.866772e-7,0.01815327,0.009965952,0.000164388,0.2003458,0.0311671,0.001580287],"study_design_scores_gemma":[0.001503175,0.00001590726,0.5055704,0.0005141962,0.00006475009,0.000004240906,0.249071,0.02983948,0.000008547426,0.0001835703,0.212778,0.0004466868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8554764,0.005275501,0.1129924,0.002359904,0.01606475,0.003873668,0.0003192908,0.0003873848,0.003250637],"genre_scores_gemma":[0.9976944,0.00001871485,0.0001129503,0.000443837,0.0004559124,0.00005770545,0.001158631,0.00001689559,0.00004090564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2315278,"threshold_uncertainty_score":0.9895175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285728720","doi":"10.1007/s10796-022-10307-z","title":"Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection","year":2022,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; Université du Québec en Outaouais; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Defence Research and Development Canada","keywords":"Reinforcement learning; Computer science; Selection (genetic algorithm); Artificial intelligence; Knowledge management; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.01499310569872252,"gpt":0.2362553509931606,"spread":0.221262245294438,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.001258936,0.0001873189,0.0002333837,0.0004923567,0.001539252,0.0006410694,0.00444523,0.00008898658,0.00001287351],"category_scores_gemma":[0.003217308,0.0002073808,0.00006648387,0.0008830566,0.00002417556,0.002734173,0.008667778,0.0004957403,0.00002723756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000907286,"about_ca_system_score_gemma":0.0001028046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120592,"about_ca_topic_score_gemma":0.00000132619,"domain_scores_codex":[0.9977095,0.0001812138,0.0007439261,0.0002709813,0.0006515599,0.0004427995],"domain_scores_gemma":[0.9979419,0.00005318444,0.000660711,0.001021299,0.0002572842,0.00006563862],"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":[0.0000485507,0.00001503164,0.00164688,0.00007783907,0.00008257498,7.546562e-7,0.0009013285,0.7784282,0.00005255644,0.001357629,0.1887539,0.02863477],"study_design_scores_gemma":[0.0005721354,0.0002095661,0.00005900612,0.00001100989,0.000005555357,0.00001550579,0.002374029,0.7664987,0.0001401884,0.0001455451,0.2297883,0.0001803771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001748497,0.0001085746,0.9912686,0.0009422576,0.002155117,0.0009764414,0.000003488127,0.001431725,0.001365289],"genre_scores_gemma":[0.9643868,0.00001711223,0.0332621,0.0001664933,0.00003338935,0.001038835,0.0004299911,0.00001682126,0.0006484371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9626383,"threshold_uncertainty_score":0.9997606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2999854417","doi":"10.1007/s10796-020-09982-7","title":"The Role of Mobile Payment Technology in Sustainable and Human-Centric Development: Evidence from the Post-Demonetization Period in India","year":2020,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":55,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Financial inclusion; Mobile payment; Payment; Sustainable development; Scope (computer science); Operability; Business; Environmental economics; Marketing; Computer science; Economics; Finance; Financial services","retraction":null,"screen_n_in":null,"score":{"opus":0.005903324273400071,"gpt":0.1871822075422614,"spread":0.1812788832688613,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000388412,0.00011276,0.0001680265,0.0002896592,0.0001771758,0.0003965105,0.0002871819,0.00007662097,0.000002063574],"category_scores_gemma":[0.0003072113,0.00008215345,0.00001542173,0.001032336,0.00007003736,0.002764445,0.0001905968,0.0001202379,0.00001975113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254117,"about_ca_system_score_gemma":0.00004807952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008934793,"about_ca_topic_score_gemma":0.00002998995,"domain_scores_codex":[0.9988348,0.00001214421,0.0006058943,0.0001148793,0.0002061896,0.0002260905],"domain_scores_gemma":[0.9992316,0.00003141154,0.0004445847,0.0001246981,0.0001597059,0.000007974344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005581135,0.00001614427,0.9496971,0.0003071385,0.00001719714,0.000002636006,0.00712192,0.000647246,0.0001220911,0.02428799,0.001077438,0.0166473],"study_design_scores_gemma":[0.001127896,0.00004706912,0.3891445,0.000614532,0.00001480114,0.000001944452,0.1667254,0.01755249,0.0004307841,0.001012053,0.4229231,0.0004054691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910043,0.003642989,0.001193367,0.0007935751,0.0001562614,0.001333931,0.000003606358,0.00006194708,0.001809974],"genre_scores_gemma":[0.9995681,0.00003405587,0.00003968555,0.0001290466,0.0000302284,0.0001366043,0.0000243249,0.000006767112,0.00003119485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5605526,"threshold_uncertainty_score":0.382356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4285045211","doi":"10.1007/s10796-022-10295-0","title":"Knowledge Graph and Deep Learning-based Text-to-GraphQL Model for Intelligent Medical Consultation Chatbot","year":2022,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Topic Modeling","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Atomic Energy of Canada Limited","keywords":"Computer science; Adapter (computing); Chatbot; Natural language processing; Artificial intelligence; Parsing; Programming language; Information retrieval; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.01752494632565285,"gpt":0.2484159739786928,"spread":0.23089102765304,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011007,0.0001256095,0.000183733,0.0004971325,0.0003891509,0.0001892609,0.0004417235,0.00006316438,0.0000033128],"category_scores_gemma":[0.0001930841,0.0001306503,0.00005596996,0.0003890542,0.00002778818,0.0007262251,0.00014456,0.0001704484,0.00001048853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001221426,"about_ca_system_score_gemma":0.0001642441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420638,"about_ca_topic_score_gemma":0.000004813412,"domain_scores_codex":[0.9984174,0.00009678132,0.0005412449,0.0001978643,0.0005149746,0.0002316841],"domain_scores_gemma":[0.9991026,0.00009203419,0.0002000365,0.0002196038,0.0001992377,0.0001865241],"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":[0.00002191756,0.00001713698,0.0002365197,0.0001018329,0.00001992026,3.344307e-7,0.01635175,0.8857074,0.000001937763,0.01489859,0.002452679,0.08018993],"study_design_scores_gemma":[0.0005421296,0.00006441487,0.00001745529,0.00001762872,0.000004631034,0.00000630121,0.002295774,0.9545509,0.000008171949,0.0002122339,0.04213488,0.0001455396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001675811,0.0004278661,0.9949821,0.0004177813,0.001228739,0.0007669118,0.000008367985,0.0001673566,0.0003250625],"genre_scores_gemma":[0.9719392,0.0000111721,0.02668512,0.0005052358,0.00003211184,0.0006178108,0.00003793645,0.000008467717,0.0001629122],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9702634,"threshold_uncertainty_score":0.5327765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000137849","doi":"10.1007/s10796-011-9296-y","title":"Interoperable support for collaborative, mobile, and accessible health care","year":2011,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Bruyère; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Aalborg Universitet","keywords":"Interoperability; Computer science; Ontology; Health care; Semantic interoperability; Information system; Knowledge management; World Wide Web; Process management; Business; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.0125882199854257,"gpt":0.2376343839130069,"spread":0.2250461639275812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000216589,0.0001340761,0.0002157829,0.0002103118,0.000213981,0.0003176699,0.0004632933,0.00005394893,0.000003034116],"category_scores_gemma":[0.00000254989,0.0001114267,0.00002894091,0.000337971,0.00001958984,0.002935409,0.000103506,0.00006129965,0.00001596058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005502269,"about_ca_system_score_gemma":0.0001786141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004756917,"about_ca_topic_score_gemma":0.0000480997,"domain_scores_codex":[0.9989561,0.00004354056,0.0004211588,0.0001621547,0.0001678289,0.0002491439],"domain_scores_gemma":[0.9989817,0.00001251755,0.0002607054,0.0002914923,0.0003278472,0.0001257723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001494614,0.00005273342,0.005549136,0.002756757,0.0001777324,0.000001771943,0.7115126,0.0005360412,0.00001589661,0.03244584,0.05833873,0.1884633],"study_design_scores_gemma":[0.001029589,0.0006023863,0.0006153155,0.00008775322,0.000007471346,0.00001394729,0.07260074,0.01177027,0.0003824127,0.00008341966,0.9125141,0.000292583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003027802,0.001961885,0.9673209,0.0001331512,0.002425797,0.001552531,0.00006545017,0.0002206047,0.02329187],"genre_scores_gemma":[0.8990269,0.0001261399,0.09527624,0.00408506,0.0001049412,0.0008601142,0.0001614772,0.00001919982,0.0003399088],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8959991,"threshold_uncertainty_score":0.4543848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2260308807","doi":"10.1007/s10796-016-9632-3","title":"Collaboration technology in teams and organizations: Introduction to the special issue","year":2016,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Knowledge management; Computer science; Process management; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.003436055734210399,"gpt":0.2268197634547907,"spread":0.2233837077205803,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005978815,0.00004790467,0.0000723451,0.0003626428,0.0002695028,0.0002071819,0.0001173746,0.00006245309,0.00003375783],"category_scores_gemma":[0.00051636,0.00003240098,0.000004809351,0.001281957,0.00005918248,0.001352999,0.00003250526,0.00003181353,0.0002609021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002161217,"about_ca_system_score_gemma":0.00005147773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001368526,"about_ca_topic_score_gemma":0.0005879593,"domain_scores_codex":[0.99937,0.00005614346,0.0002241972,0.00007313237,0.0001547263,0.0001218066],"domain_scores_gemma":[0.999572,0.00001068222,0.00007959855,0.0001001158,0.000210186,0.00002737742],"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":[0.0000108873,0.000006243984,0.01945861,0.00001452691,0.00001074251,1.429264e-7,0.04700696,0.0001524809,0.00002233415,0.1042159,0.7342907,0.09481052],"study_design_scores_gemma":[0.0001389272,0.000007485372,0.0004378401,0.00001348518,0.000002291314,2.173937e-7,0.05558218,0.00009327791,0.00001558192,0.0001860586,0.9434717,0.0000509763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08588119,0.0005583235,0.173847,0.5022745,0.03365249,0.006521347,0.00002768232,0.000690031,0.1965474],"genre_scores_gemma":[0.9828963,0.0001177478,0.000283588,0.0001393455,0.007460768,0.0001017731,0.000008694226,0.00000653935,0.008985203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8970152,"threshold_uncertainty_score":0.3353455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013819728","doi":"10.1007/s10796-006-9019-y","title":"End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach","year":2006,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Interoperation; Outsourcing; Service provider; Computer science; Service (business); Web service; Business; Computer security; World Wide Web; Interoperability; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.02568845882361302,"gpt":0.2730246558641831,"spread":0.2473361970405701,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001331347,0.000200738,0.000397123,0.0005889049,0.000344359,0.0002854376,0.0005770261,0.000218915,0.000004313466],"category_scores_gemma":[0.000756903,0.000202079,0.00004604824,0.001446644,0.00005727449,0.003275743,0.00009459702,0.0002170633,0.0000333752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134321,"about_ca_system_score_gemma":0.0003437422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06360193,"about_ca_topic_score_gemma":0.01211056,"domain_scores_codex":[0.9975517,0.0002758526,0.001001075,0.0002145806,0.0006046403,0.0003521854],"domain_scores_gemma":[0.9969613,0.0000439831,0.0006748613,0.000329848,0.001884639,0.0001053458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006712064,0.0006203384,0.03967277,0.00571896,0.0002162437,0.000003341917,0.8832765,0.02519115,0.006578848,0.01176581,0.02015785,0.006127018],"study_design_scores_gemma":[0.006919117,0.0001419982,0.005645092,0.0009094945,0.00007539701,0.000008778428,0.6791936,0.257773,0.0007250693,0.0005349779,0.04707699,0.000996524],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1628956,0.0002792198,0.8175141,0.002722808,0.001420089,0.005397265,0.0002870839,0.0003470902,0.009136767],"genre_scores_gemma":[0.996985,0.000006601931,0.001709154,0.0005774249,0.0001499553,0.0002410456,0.0002742957,0.00001164136,0.00004492803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8340893,"threshold_uncertainty_score":0.9426336,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2767008766","doi":"10.1007/s10796-017-9804-9","title":"Big Data Analytics and Business Intelligence in Industry","year":2017,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ontario Institute of Technology","funders":"King Mongkut's Institute of Technology Ladkrabang; Natural Sciences and Engineering Research Council of Canada; National Taipei University of Technology","keywords":"Business intelligence; Big data; Business analytics; Data science; Computer science; Analytics; Data analysis; Knowledge management; Business; Data mining; Business analysis; Business model; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.1464499997051727,"gpt":0.2997121760576064,"spread":0.1532621763524336,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0006482782,0.0001686704,0.0002361802,0.0004573953,0.0003095848,0.00244556,0.001263164,0.0002092503,0.00001134746],"category_scores_gemma":[0.0005659218,0.0001543777,0.00001318047,0.0003931699,0.0001514188,0.01410843,0.0007907523,0.0002426078,0.0001498052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003118836,"about_ca_system_score_gemma":0.0000441175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003877919,"about_ca_topic_score_gemma":0.0001646433,"domain_scores_codex":[0.9987221,0.000005770858,0.0005399722,0.0002101095,0.0002814472,0.0002406424],"domain_scores_gemma":[0.997885,0.00001115659,0.0006001969,0.001201244,0.0002840997,0.00001830522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005734334,0.00004186863,0.4330922,0.001189411,0.00004741674,0.00001147275,0.0001758987,0.001331116,0.000003569085,0.01414115,0.06797288,0.4819357],"study_design_scores_gemma":[0.0002531865,0.000002039003,0.09497334,0.0003062042,0.00002967653,0.000009345825,0.002052398,0.1767892,0.000004422085,0.0003950402,0.7248058,0.0003793128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08728851,0.001634848,0.7286333,0.003883427,0.03029547,0.001985829,0.000320967,0.0003962156,0.1455614],"genre_scores_gemma":[0.9981027,0.00009758506,0.0002380263,0.000313579,0.0007825217,0.00001119672,0.0002633245,0.00001004541,0.0001809904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108142,"threshold_uncertainty_score":0.9996807,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2048501271","doi":"10.1007/s10796-006-6103-2","title":"Mutation Mining—A Prospector's Tale","year":2006,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Génome Québec","keywords":"Computer science; Data science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.003797170421254536,"gpt":0.1865010712203771,"spread":0.1827039007991226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009840716,0.00009266703,0.0000931244,0.00004961322,0.00008237908,0.00006286981,0.00007293118,0.00006987182,0.000001254476],"category_scores_gemma":[0.00001243866,0.00009009449,0.0000404546,0.00005470344,0.00002922757,0.000005642182,0.00002358875,0.00002030556,0.00002064377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001962149,"about_ca_system_score_gemma":0.00002714703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008719167,"about_ca_topic_score_gemma":0.0000058552,"domain_scores_codex":[0.9993912,0.000014231,0.000264894,0.00008991397,0.0001058132,0.0001339724],"domain_scores_gemma":[0.9995959,0.000001910809,0.0001364698,0.0001385536,0.0001017105,0.00002541282],"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":[0.0001499227,0.00007718672,0.1422471,0.0002232101,0.0003262368,0.000003512531,0.001765503,0.01956234,0.08724485,0.002895452,0.7352158,0.01028889],"study_design_scores_gemma":[0.0008708944,0.0001419979,0.03438257,0.00001176476,0.00001826925,0.00003068128,0.001892815,0.00159869,0.01062739,0.0000708236,0.9500216,0.0003325072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567944,0.001592563,0.02115634,0.00004540768,0.001406782,0.0003675397,0.00003629803,0.00001370775,0.01858697],"genre_scores_gemma":[0.9972913,0.00001725182,0.001299245,0.00004772636,0.0002298263,0.00004740626,0.0001896728,0.00000685904,0.0008707491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2148058,"threshold_uncertainty_score":0.3673947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2069064635","doi":"10.1007/s10796-008-9065-8","title":"Firm strategic profile and IT outsourcing","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; Systems, Applications & Products in Data Processing (Canada); Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Outsourcing; Business; Transaction cost; Knowledge process outsourcing; Knowledge management; Strategic management; Business administration; Industrial organization; Strategic planning; Process management; Marketing; Computer science; Finance","retraction":null,"screen_n_in":null,"score":{"opus":0.02013592183479488,"gpt":0.1905515185345153,"spread":0.1704155966997204,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003648859,0.0001630789,0.0002041561,0.0003654103,0.0003596801,0.0004830509,0.0001344026,0.00006604512,0.00003035479],"category_scores_gemma":[0.00002537343,0.0001496526,0.00004366599,0.0002426735,0.00004863448,0.002779841,0.00007468084,0.00009714237,0.0005002951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004144101,"about_ca_system_score_gemma":0.00001562822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005181697,"about_ca_topic_score_gemma":0.000003517668,"domain_scores_codex":[0.9988707,0.000009507005,0.0004227898,0.0001295713,0.0003117941,0.0002555981],"domain_scores_gemma":[0.9994114,0.000009476295,0.0002634574,0.0001837139,0.0001111483,0.0000207749],"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":[0.00005903828,0.00004105959,0.1134201,0.001728902,0.0001450205,0.00002418123,0.005046855,0.01574872,0.00001141949,0.01561786,0.8441303,0.004026498],"study_design_scores_gemma":[0.0007558736,0.000009848229,0.003298288,0.00007824705,0.00002768861,0.00001735455,0.0229466,0.1952726,0.000001887992,0.0001049982,0.7771466,0.0003400296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2023978,0.0006369818,0.09907926,0.003578052,0.005800189,0.002139957,0.00001768385,0.001066217,0.6852839],"genre_scores_gemma":[0.9962474,0.00001301893,0.0002571342,0.001068172,0.0004136848,0.00004311463,0.00006214812,0.0000122181,0.001883072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7938496,"threshold_uncertainty_score":0.6430448,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1989635594","doi":"10.1007/s10796-011-9319-8","title":"eHealth system interoperability","year":2011,"lang":"de","type":"article","venue":"Information Systems Frontiers","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":39,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Credit Valley Hospital; University of Ottawa; University of Victoria","funders":"","keywords":"eHealth; Interoperability; Computer science; Knowledge management; World Wide Web; Health care; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.05454082516868924,"gpt":0.3277262299663692,"spread":0.27318540479768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009037678,0.0008411162,0.00184415,0.000918612,0.001615506,0.0001700073,0.001039203,0.001487901,0.0002242321],"category_scores_gemma":[0.0003838269,0.0007831065,0.0003097026,0.0009108637,0.0002099142,0.003109253,0.000227159,0.002359784,0.02293282],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008165529,"about_ca_system_score_gemma":0.004047059,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02036151,"about_ca_topic_score_gemma":0.0001047997,"domain_scores_codex":[0.9839059,0.004857742,0.006666386,0.0006511663,0.001236404,0.002682386],"domain_scores_gemma":[0.9914406,0.0002196096,0.003614447,0.001903395,0.001455088,0.001366879],"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":[0.0009854876,0.0002300266,0.06915952,0.06229609,0.0009482476,0.00001661121,0.2185476,0.00003764396,0.000002281336,0.04850527,0.5848311,0.01444022],"study_design_scores_gemma":[0.002104196,0.0005278186,0.003117267,0.003916067,0.0001474877,0.00003179079,0.1616888,0.01134896,0.000005886863,0.00001876972,0.8163049,0.0007880726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.03399508,0.04839412,0.1891803,0.001135105,0.3653744,0.02925924,0.001416668,0.003557163,0.3276879],"genre_scores_gemma":[0.9909656,0.0005842887,0.001040617,0.0009498461,0.002446332,0.001097068,0.0002387039,0.0001204382,0.00255709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9569705,"threshold_uncertainty_score":0.9999418,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968205250","doi":"10.1007/s10796-008-9127-y","title":"UML-CI: A reference model for profiling critical infrastructure systems","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Unified Modeling Language; Metamodeling; Profiling (computer programming); Critical infrastructure; Software engineering; Systems engineering; Programming language; Computer security; Software; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02504811083021786,"gpt":0.2543922456689353,"spread":0.2293441348387174,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006813571,0.0002527969,0.0004239841,0.0002490158,0.0004874202,0.0003526488,0.0007458704,0.0002755973,6.449832e-7],"category_scores_gemma":[0.0002481423,0.0002077242,0.000107464,0.0003257296,0.0001033522,0.004277104,0.00009691536,0.000211547,0.00007064223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388022,"about_ca_system_score_gemma":0.0003784466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004462944,"about_ca_topic_score_gemma":2.608857e-7,"domain_scores_codex":[0.9975334,0.00006950076,0.001012541,0.0002950771,0.0006080687,0.0004813962],"domain_scores_gemma":[0.9979306,0.00008313794,0.0003088483,0.0007229006,0.0007716109,0.0001828801],"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":[0.000128826,0.00006780997,0.0151517,0.005045074,0.0001470847,0.000006423567,0.01601057,0.6699468,0.00006485995,0.1205116,0.1650059,0.007913367],"study_design_scores_gemma":[0.0004237488,0.00004659723,0.0002215455,0.00009008237,0.000006839251,0.0001175172,0.0005951208,0.9813761,0.00002981911,0.0001843022,0.01663696,0.0002713629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005455572,0.0003628549,0.9868211,0.00008741755,0.004178009,0.001237439,0.00007735575,0.0004675063,0.001312742],"genre_scores_gemma":[0.9311598,0.00002357931,0.06784654,0.0001119791,0.0001478702,0.0004516953,0.0000465494,0.00001127888,0.0002006854],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9257042,"threshold_uncertainty_score":0.8470747,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2075425802","doi":"10.1007/s10796-014-9519-0","title":"Estimating trust value: A social network perspective","year":2014,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cluster analysis; Perspective (graphical); Metric (unit); Social network (sociolinguistics); Sorting; Computer science; Trustworthiness; Value (mathematics); Social trust; Estimation; Measure (data warehouse); Data mining; Social capital; Internet privacy; Artificial intelligence; World Wide Web; Social media; Sociology; Machine learning; Marketing; Business; Social science; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.009193210438069999,"gpt":0.2364197293067365,"spread":0.2272265188686665,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001071021,0.0001594666,0.00027865,0.0001500276,0.0003841155,0.0007046136,0.0005595978,0.0001108628,8.746828e-7],"category_scores_gemma":[0.00005072227,0.0001475013,0.00008756403,0.0003354708,0.00002603409,0.002620242,0.0001034854,0.0001342797,0.00005101717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274636,"about_ca_system_score_gemma":0.00004661106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002220699,"about_ca_topic_score_gemma":6.409064e-7,"domain_scores_codex":[0.9984552,0.0001648978,0.0005441615,0.000165993,0.0003533585,0.000316425],"domain_scores_gemma":[0.9989413,0.00002874666,0.0004207574,0.0003217822,0.0002124833,0.00007493969],"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":[0.000002633165,0.000006132226,0.0004684514,0.00005087725,0.00003801654,3.373438e-7,0.00696862,0.002484153,9.036345e-7,0.7757673,0.1938798,0.02033272],"study_design_scores_gemma":[0.000257026,0.00003960847,0.000297711,0.00004603648,0.00000477349,0.00001898409,0.001470017,0.819897,0.000006864593,0.007988014,0.1697531,0.0002208367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001046114,0.00007193555,0.9242655,0.0004710873,0.003725957,0.0003299907,0.000001847754,0.0005642339,0.07046481],"genre_scores_gemma":[0.79157,0.000001017238,0.2067577,0.0004343835,0.0009748004,0.0001154882,0.00000719478,0.00001105051,0.0001283663],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8174129,"threshold_uncertainty_score":0.6794605,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987870623","doi":"10.1007/s10796-010-9228-2","title":"A user-centric evaluation of the readability of privacy policies in popular web sites","year":2010,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Readability; Computer science; Privacy policy; The Internet; Internet privacy; World Wide Web; Test (biology); Privacy software; Privacy by Design; Information privacy; Usability; Human–computer interaction","retraction":null,"screen_n_in":null,"score":{"opus":0.02678278453493603,"gpt":0.3004827817948812,"spread":0.2736999972599452,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004159621,0.0000702807,0.0001648529,0.000225053,0.0001578866,0.00005833673,0.000454641,0.0001310536,0.00001095741],"category_scores_gemma":[0.003428377,0.00005617367,0.00005521525,0.00064455,0.0001759137,0.001590471,0.00009057612,0.0001444417,0.000004678572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802129,"about_ca_system_score_gemma":0.0003745739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282271,"about_ca_topic_score_gemma":0.002050473,"domain_scores_codex":[0.9978385,0.000444412,0.0005924318,0.00007346017,0.0008960289,0.0001551533],"domain_scores_gemma":[0.9984969,0.00002926406,0.0005287367,0.0004269826,0.0004798478,0.00003828187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004641438,0.0001099551,0.8779289,0.0003007371,0.00003081771,3.761172e-8,0.08495653,0.000306261,0.001654912,0.01458116,0.01142314,0.008661112],"study_design_scores_gemma":[0.002147306,0.00008102009,0.4963789,0.0002414175,0.00014052,0.000003685275,0.10054,0.0394014,0.003889241,0.008318825,0.3482859,0.0005716976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939024,0.0001135129,0.0003422896,0.0003594452,0.001146045,0.00115759,0.00004507034,0.00002381412,0.002909808],"genre_scores_gemma":[0.9996932,0.00002050396,0.0001369162,0.00001403387,0.00005699636,0.0000365997,0.00001837969,0.00000238647,0.00002097053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.38155,"threshold_uncertainty_score":0.993751,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1757067785","doi":"10.1007/s10796-015-9593-y","title":"Advances in secure knowledge management in the big data era","year":2015,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"York University","keywords":"Big data; Reservation; Computer science; Information and Communications Technology; Data science; Internet privacy; Information Age; Cash; Business; World Wide Web; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.04017187693712231,"gpt":0.285003360608693,"spread":0.2448314836715707,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192665,0.0001093611,0.0001350514,0.0004450489,0.00004025868,0.000210604,0.001620551,0.00005089248,1.325325e-7],"category_scores_gemma":[0.00004057625,0.00008513838,0.00001411462,0.0008526313,0.00002221802,0.006682195,0.0003084096,0.0001550998,0.00004368474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001748155,"about_ca_system_score_gemma":0.00005127411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003103553,"about_ca_topic_score_gemma":0.0000426355,"domain_scores_codex":[0.9987547,0.000116594,0.0004526553,0.0001666355,0.0003198287,0.0001896218],"domain_scores_gemma":[0.9987636,0.000021314,0.0001693191,0.0009257558,0.00007811699,0.00004192343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001399891,0.00003742041,0.0004846575,0.0001317953,0.000007579628,0.000009295481,0.01258889,0.00241064,3.550759e-7,0.0320065,0.04676269,0.9055462],"study_design_scores_gemma":[0.0004251362,0.00002511981,0.0001695501,0.00005070726,0.000001375177,0.00001443187,0.008584809,0.05767665,0.00001161352,0.001174233,0.9317305,0.0001358639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00006725181,0.001403569,0.9532298,0.0001263497,0.002077529,0.0006075445,0.000005920852,0.0001878009,0.04229427],"genre_scores_gemma":[0.935568,0.0004835836,0.06275261,0.0003889953,0.0001457611,0.0004277802,0.00006080532,0.00001023754,0.0001622163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9355007,"threshold_uncertainty_score":0.484443,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1527297862","doi":"10.1023/a:1025605529006","title":"Evaluating Componentized Enterprise Information Technologies: A Multiattribute Modeling Approach","year":2003,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Hierarchy; Ranking (information retrieval); Analytic hierarchy process; Supermatrix; Process (computing); Component (thermodynamics); Work (physics); Analytic network process; Software; Operations research; Knowledge management; Risk analysis (engineering); Business; Artificial intelligence; Economics; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05511332452698495,"gpt":0.2885521202350026,"spread":0.2334387957080176,"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":[0.001783425,0.0002880988,0.0003745813,0.001024396,0.0003889551,0.001458471,0.0002980033,0.0001536191,0.00002096357],"category_scores_gemma":[0.0006056565,0.0002682755,0.0001214451,0.0006879719,0.00003101042,0.01626485,0.00007348111,0.0001835558,0.000599963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00020842,"about_ca_system_score_gemma":0.00005701604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003898054,"about_ca_topic_score_gemma":0.000001222486,"domain_scores_codex":[0.9971978,0.00005506798,0.001412016,0.0001539697,0.0007321589,0.0004489581],"domain_scores_gemma":[0.9980292,0.00001816676,0.001023242,0.0003644386,0.0005390076,0.00002589736],"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":[0.0005188455,0.0003168636,0.03463663,0.006523487,0.0009046501,0.000002541322,0.01187805,0.5589109,0.0004347062,0.1265447,0.1996389,0.05968979],"study_design_scores_gemma":[0.002107693,0.000009951337,0.00006192405,0.00007116891,0.00003481342,0.000008631459,0.03459609,0.8274022,0.00001271598,0.00008460606,0.1353014,0.0003087873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02654832,0.000139666,0.9376472,0.0001306403,0.002584346,0.001917143,0.00002905096,0.001044007,0.02995962],"genre_scores_gemma":[0.9930164,0.000006492324,0.005597701,0.0004773799,0.00009147082,0.0002216819,0.0005257918,0.0000164037,0.00004668561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9664681,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061338481","doi":"10.1007/s10796-005-6100-x","title":"Interactive Gene Clustering—A Case Study of Breast Cancer Microarray Data","year":2006,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; Computer science; Data mining; Visualization; Microarray analysis techniques; DNA microarray; Computational biology; Gene; Machine learning; Gene expression; Biology; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.01437636470788585,"gpt":0.2692739308091536,"spread":0.2548975661012678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402189,0.0001022671,0.0001273873,0.00009411835,0.00005905645,0.00004634057,0.0002201625,0.00006968808,0.000004622915],"category_scores_gemma":[0.000005564773,0.00009375827,0.0000232371,0.00009508485,0.00002182746,0.00005967046,0.0001082569,0.00004397515,0.0000031779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003589882,"about_ca_system_score_gemma":0.00005967574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002975139,"about_ca_topic_score_gemma":0.0001826791,"domain_scores_codex":[0.9991286,0.00005299842,0.0004136435,0.0001631991,0.00013725,0.0001042938],"domain_scores_gemma":[0.9988931,0.000002039618,0.0003383788,0.0005505443,0.0001812315,0.00003469797],"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":[0.0007862842,0.0006247014,0.0490759,0.0003091709,0.0005467093,0.00002967899,0.00553144,0.0225576,0.4156741,0.00001217093,0.4799325,0.02491977],"study_design_scores_gemma":[0.01028452,0.0006816052,0.03361944,0.0002151651,0.0002567583,0.003895072,0.2567213,0.04104039,0.07418213,0.000004219706,0.577563,0.001536425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9434153,0.0004397614,0.05306698,0.00004054519,0.001352899,0.0005622482,0.0004218146,0.00001606003,0.000684323],"genre_scores_gemma":[0.9989026,0.00001970605,0.0001895959,0.00002951788,0.0001561072,0.00006258504,0.0004033037,0.000007583023,0.000228979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3414919,"threshold_uncertainty_score":0.4497541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2022594830","doi":"10.1007/s10796-011-9304-2","title":"Protecting privacy during peer-to-peer exchange of medical documents","year":2011,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Peer-to-peer; Internet privacy; Computer science; Peer review; Computer security; World Wide Web; Law; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.0208335425491498,"gpt":0.2471073759568951,"spread":0.2262738334077453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635282,0.0001153244,0.0001870801,0.00037898,0.0001326195,0.0001642967,0.001061636,0.0001076925,0.00002098789],"category_scores_gemma":[0.0002762905,0.0001066447,0.00006016135,0.0004932184,0.00002712332,0.003469782,0.0003626952,0.0001646184,0.00005292136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004298376,"about_ca_system_score_gemma":0.00005057752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938532,"about_ca_topic_score_gemma":0.000002807558,"domain_scores_codex":[0.9974283,0.00006977262,0.0005798733,0.0001399699,0.001538803,0.0002432918],"domain_scores_gemma":[0.9987263,0.00001185445,0.0002920353,0.0004875921,0.0002902306,0.0001920039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002088259,0.0002903459,0.03496914,0.003611712,0.0004136812,0.00002899544,0.6025872,0.00009410155,0.0001358235,0.1122973,0.1351764,0.1101865],"study_design_scores_gemma":[0.00535868,0.0004628498,0.03761163,0.001313133,0.00003792032,0.0002107163,0.02201959,0.03815077,0.008634636,0.00202017,0.882432,0.001747946],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05456658,0.00006260079,0.9381171,0.0002569634,0.001796482,0.0006399533,0.00001861401,0.0001563637,0.004385285],"genre_scores_gemma":[0.9747278,0.000006036688,0.02497365,0.00008019181,0.00006070314,0.00008773288,0.00001405783,0.000004867437,0.00004493022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9201612,"threshold_uncertainty_score":0.4348844,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3027258472","doi":"10.1007/s10796-020-10020-9","title":"Being (more) Human in a Digitized World","year":2020,"lang":"en","type":"editorial","venue":"Information Systems Frontiers","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Indian Institute of Management Calcutta; Indian Institute of Technology Delhi; Indian Institute of Management Bangalore; Indian Institute of Technology Madras; Indian Institute of Technology Roorkee; Dalhousie University; Univerza v Ljubljani; University of the West of England; University of Southampton; Embry-Riddle Aeronautical University","keywords":"Computer science; Data science; Information retrieval","retraction":null,"screen_n_in":null,"score":{"opus":0.008587761260988052,"gpt":0.2566906437984379,"spread":0.2481028825374498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000575508,0.0003942636,0.0006850179,0.00230292,0.0001753068,0.001000023,0.001513116,0.0006869824,0.000003154146],"category_scores_gemma":[0.0004134474,0.0004251011,0.0001061372,0.001488225,0.00008203223,0.005570575,0.0003005045,0.001522854,0.0002569362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014595,"about_ca_system_score_gemma":0.0002653973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001471023,"about_ca_topic_score_gemma":0.00001955211,"domain_scores_codex":[0.9966267,0.0001061473,0.001487376,0.0003784578,0.0009894909,0.000411804],"domain_scores_gemma":[0.9974504,0.0001091017,0.001143008,0.0006603081,0.0005702786,0.0000669443],"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":[0.00001176017,0.000007749918,0.00006353738,0.0001509442,0.0000492168,0.00001131616,0.002486694,0.00003229402,0.000006836784,0.01773426,0.9784933,0.00095215],"study_design_scores_gemma":[0.0007803505,0.00003915088,0.00002699945,0.0003381911,0.000006693203,0.000003088899,0.0004882935,0.004000106,0.00003841419,0.0005020507,0.9933794,0.0003972898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005620575,0.00004201819,0.1736477,0.0003601519,0.8035356,0.0006940225,0.00003203588,0.0007940778,0.02083824],"genre_scores_gemma":[0.07638372,0.00002800008,0.01407187,0.001292492,0.890349,0.001656019,0.004097963,0.0001776958,0.01194323],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1595758,"threshold_uncertainty_score":0.9998201,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061081792","doi":"10.1007/s10796-010-9230-8","title":"A business maturity model of software product line engineering","year":2010,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Software product line; Product engineering; Software development; Computer science; Software engineering; Personal software process; Capability Maturity Model; Software Engineering Process Group; Social software engineering; Product (mathematics); Systems engineering; Software development process; Software; Software construction; Engineering; Product design; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01711098420757594,"gpt":0.2268226206795866,"spread":0.2097116364720106,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005695801,0.0001514412,0.0002577812,0.0002625062,0.00004062319,0.00009020268,0.0005993995,0.00009113659,2.891839e-7],"category_scores_gemma":[0.001625123,0.0001439344,0.00004080792,0.0004459106,0.00002752407,0.002835859,0.0001211208,0.0002332645,0.000006301333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000039512,"about_ca_system_score_gemma":0.00008559388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001113107,"about_ca_topic_score_gemma":2.719741e-7,"domain_scores_codex":[0.9988859,0.00001746824,0.0004675706,0.0001368606,0.0002809072,0.0002113394],"domain_scores_gemma":[0.9986111,0.00007986033,0.0002331438,0.0006043542,0.0004119777,0.00005957384],"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":[0.000003022844,0.00000509965,0.00008686315,0.0002535404,0.00001121356,2.659651e-7,0.0005862347,0.9878983,0.001092411,0.00315648,0.0005372347,0.006369298],"study_design_scores_gemma":[0.0002012025,0.00001011247,0.0004593295,0.00004692976,0.000004258816,0.00001805137,0.00004219125,0.9917356,0.003135418,0.0004265709,0.003677904,0.0002423847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004684068,0.0001008608,0.9903325,0.00004768489,0.003812514,0.0002456091,0.00001272323,0.0007214125,0.00004259141],"genre_scores_gemma":[0.1630779,0.00000509201,0.8367742,0.00001212669,0.0000528676,0.00002998887,0.000006714042,0.000007938038,0.00003319246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1583938,"threshold_uncertainty_score":0.5869474,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W600508751","doi":"10.1007/s10796-015-9577-y","title":"Providing awareness, explanation and control of personalized filtering in a social networking site","year":2015,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Visualization; Transparency (behavior); Filter (signal processing); Context (archaeology); Control (management); Human–computer interaction; Focus (optics); World Wide Web; Data mining; Computer security; Artificial intelligence; Computer vision","retraction":null,"screen_n_in":null,"score":{"opus":0.03192037128583866,"gpt":0.2502152516597536,"spread":0.218294880373915,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008656525,0.00008613147,0.0002318771,0.0002452526,0.00006329388,0.0002013495,0.0001531679,0.00006433018,1.277397e-7],"category_scores_gemma":[0.00001558043,0.00008294465,0.00002487235,0.0001975911,0.0000160572,0.002185913,0.00004347487,0.00005371826,0.000001067613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102775,"about_ca_system_score_gemma":0.00005801084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003990918,"about_ca_topic_score_gemma":0.000005709393,"domain_scores_codex":[0.9989737,0.00009151786,0.000478972,0.00008911697,0.0002295979,0.0001370525],"domain_scores_gemma":[0.9993864,0.0000174752,0.0003452847,0.00009800636,0.0001098979,0.00004290621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002379986,0.00007553877,0.4050162,0.002100262,0.0002405915,0.00001334603,0.2558064,0.003503075,0.000704621,0.0995936,0.06572001,0.1669884],"study_design_scores_gemma":[0.002805199,0.00006734557,0.001755961,0.0003061324,0.000007049588,0.00002974442,0.005969193,0.8807027,0.0001660888,0.000355524,0.1075194,0.0003156284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007363555,0.0003463446,0.9898915,0.0001100661,0.0007905969,0.0003538781,0.000004001849,0.00008997948,0.001050053],"genre_scores_gemma":[0.9967328,0.000007422633,0.003069405,0.00003744622,0.00007293641,0.00005761533,0.000006953918,0.000003171135,0.00001221487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9893693,"threshold_uncertainty_score":0.3382385,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1992364800","doi":"10.1007/s10796-011-9302-4","title":"Ski hill injuries and ghost charts: Socio-technical issues in achieving e-Health interoperability across jurisdictions","year":2011,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"BC Children's Hospital; University of British Columbia; Simon Fraser University","funders":"","keywords":"Interoperability; Health care; Exploratory research; Information system; Business; Knowledge management; Computer science; Sociology; Political science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.0423157597750902,"gpt":0.392368616502868,"spread":0.3500528567277778,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007032344,0.0002945692,0.0008166143,0.0003327274,0.001205475,0.00007508488,0.0002773441,0.0004844161,0.00003446849],"category_scores_gemma":[0.0004170793,0.0002665202,0.0000715469,0.0003805377,0.0001927694,0.002132422,0.0001698513,0.001304065,0.0002283314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911537,"about_ca_system_score_gemma":0.0007323907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086965,"about_ca_topic_score_gemma":0.001191816,"domain_scores_codex":[0.9935558,0.001713882,0.002850527,0.0003148222,0.0003785181,0.001186475],"domain_scores_gemma":[0.9976304,0.0001758989,0.001017437,0.0005334904,0.0002760504,0.0003666819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001833999,0.00008392616,0.5645611,0.003426415,0.00005153536,8.839789e-7,0.3635138,0.000004774402,0.000009666494,0.003820964,0.05079696,0.01354658],"study_design_scores_gemma":[0.001927187,0.0005638974,0.1939326,0.001972669,0.00001213542,0.00002137299,0.2344428,0.001055112,0.000006400384,0.0001412731,0.565311,0.0006135803],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9290591,0.008618695,0.01555442,0.007413937,0.01286227,0.009527713,0.0004140651,0.001228022,0.0153218],"genre_scores_gemma":[0.99621,0.0006465312,0.0005394756,0.0009905135,0.0002414866,0.0008355775,0.00005587543,0.00003106764,0.0004494091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.514514,"threshold_uncertainty_score":0.9999787,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2042016758","doi":"10.1007/s10796-005-6099-z","title":"Statistical Methods for Meta-Analysis of Microarray Data: A Comparative Study","year":2006,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Computer science; Data mining; Weighting; DNA microarray; Statistical power; Raw data; R package; Data quality; Data set; Statistics; Mathematics; Biology; Artificial intelligence; Gene; Genetics","retraction":null,"screen_n_in":null,"score":{"opus":0.1087452725264015,"gpt":0.4080869298013975,"spread":0.2993416572749961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007401129,0.0001056748,0.0004893366,0.0001887252,0.00005110465,0.00004529416,0.0002304542,0.00006289553,0.000009190967],"category_scores_gemma":[0.00003470655,0.00008480561,0.000163491,0.0002392461,0.00003599516,0.00002925304,0.00004261722,0.00002710136,0.000001545225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001360106,"about_ca_system_score_gemma":0.00004724637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001106307,"about_ca_topic_score_gemma":0.00001499488,"domain_scores_codex":[0.998794,0.0002027982,0.0005838882,0.000184298,0.0001339395,0.0001011308],"domain_scores_gemma":[0.9987674,0.00002539923,0.0003779307,0.0005540888,0.0002428188,0.0000324144],"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":[0.0005685251,0.0005086027,0.003902311,0.0001824597,0.1463767,1.481041e-7,0.002593759,0.02131251,0.06794379,0.002520236,0.7507082,0.003382779],"study_design_scores_gemma":[0.001308965,0.0002853528,0.003922512,0.000001857888,0.05198235,0.00000109269,0.01429242,0.03300936,0.01479327,0.00003151258,0.8800235,0.0003478428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003779599,0.001017694,0.9927877,0.000020081,0.0002297352,0.0006988182,0.000795739,0.000007310938,0.0006633765],"genre_scores_gemma":[0.9455338,0.000004130619,0.0495896,0.00003222801,0.00003986696,0.000365239,0.004064756,0.000005091636,0.0003653103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.943198,"threshold_uncertainty_score":0.3458273,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1987613798","doi":"10.1007/s10796-011-9336-7","title":"Privacy policies and national culture on the internet","year":2011,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Internet privacy; The Internet; Business; Privacy policy; Information privacy; Privacy by Design; Scale (ratio); Empirical research; Computer science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.0382651657703359,"gpt":0.2700532210067809,"spread":0.231788055236445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007193434,0.00006691265,0.00006961053,0.00009192523,0.0003461434,0.0002292736,0.0002779377,0.00007957372,0.00002070343],"category_scores_gemma":[0.0004831959,0.00004606897,0.00002175951,0.0001250191,0.0001308995,0.00149153,0.00006338819,0.0000991295,0.00009146284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023085,"about_ca_system_score_gemma":0.00005638259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003566307,"about_ca_topic_score_gemma":0.00004414772,"domain_scores_codex":[0.9991449,0.0001084706,0.0001909059,0.00005924952,0.0003694882,0.0001269784],"domain_scores_gemma":[0.999534,0.000018766,0.0001378178,0.0001170205,0.0001410434,0.00005140316],"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":[0.00001923405,0.00000972117,0.001847255,0.00001665074,0.00002175118,8.325509e-8,0.2129318,0.00000141795,0.000001403592,0.3298842,0.4541805,0.001085973],"study_design_scores_gemma":[0.0001242137,0.00002597866,0.002064789,0.00002122893,0.000003437706,0.000001850496,0.04079584,0.0002647029,0.00002991661,0.003407121,0.9531773,0.00008365906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06110415,0.000543688,0.0250241,0.004720286,0.004010851,0.001981248,0.0001312782,0.0003658797,0.9021185],"genre_scores_gemma":[0.9982095,0.00006538079,0.0001522026,0.0005190975,0.0001644382,0.00004223857,0.00001753538,0.000002439889,0.0008271543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9371054,"threshold_uncertainty_score":0.5391214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2078971705","doi":"10.1007/s10796-012-9377-6","title":"Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm","year":2012,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Collaborative filtering; Recommender system; World Wide Web; Filter (signal processing); Social network (sociolinguistics); Algorithm; Order (exchange); Service (business); Web service; Information filtering system; The Internet; Information retrieval; Social media","retraction":null,"screen_n_in":null,"score":{"opus":0.01367533286041721,"gpt":0.2349958419733668,"spread":0.2213205091129496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004903,0.0002303068,0.0002953696,0.000172181,0.0002532727,0.0006047635,0.0005028983,0.0001511906,0.00001044324],"category_scores_gemma":[0.00001158138,0.0002182387,0.00004998227,0.0007546243,0.00001179,0.008703564,0.0001418695,0.0001479925,0.0001055051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175535,"about_ca_system_score_gemma":0.00005499821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709024,"about_ca_topic_score_gemma":0.000002380056,"domain_scores_codex":[0.9981577,0.0001672172,0.00074896,0.0001640401,0.000268989,0.0004930253],"domain_scores_gemma":[0.9985779,0.00002697324,0.0005444433,0.0003912912,0.0002787957,0.0001805935],"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":[0.000004164431,0.00003934334,0.001621849,0.00009339961,0.00008216868,2.31464e-7,0.007666663,0.0001686598,0.00004991864,0.001393431,0.8657091,0.123171],"study_design_scores_gemma":[0.0003491768,0.00001854868,0.000092675,0.00003858573,0.000003805942,0.00001162967,0.001096346,0.2594697,0.0001787758,0.00000648594,0.7385112,0.0002231215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000135298,0.0004450831,0.9869032,0.0006161148,0.005813519,0.0006831901,0.0000598804,0.000458679,0.004885026],"genre_scores_gemma":[0.1695691,0.0001603314,0.8230954,0.003684545,0.001045311,0.0009073842,0.0008807844,0.00004668047,0.0006104428],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.259301,"threshold_uncertainty_score":0.8899515,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034998272","doi":"10.1007/s10796-005-6101-9","title":"Protein Structure from Contact Maps: A Case-Based Reasoning Approach","year":2006,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"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":"Computer science; Premise; Protein structure prediction; Focus (optics); Protein structure; Protein secondary structure; Artificial intelligence; Data mining; Chemistry","retraction":null,"screen_n_in":null,"score":{"opus":0.003058274912180261,"gpt":0.1822423243317872,"spread":0.179184049419607,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001102587,0.0001991384,0.0001952094,0.00007977189,0.0001236152,0.0001522768,0.0001443693,0.0002777933,0.000003307803],"category_scores_gemma":[0.000025745,0.0001801157,0.00007457393,0.0000922137,0.00003198676,0.00004227664,0.00002784625,0.0001128437,0.000003921123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005326311,"about_ca_system_score_gemma":0.00009339484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362138,"about_ca_topic_score_gemma":0.00003041232,"domain_scores_codex":[0.9989389,0.00005633874,0.0003999397,0.0001847778,0.0001953386,0.000224749],"domain_scores_gemma":[0.9991985,0.000002956052,0.0002754381,0.0003466233,0.0001145382,0.00006194215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002226158,0.0001981084,0.0352833,0.001501106,0.001285318,0.0002913054,0.001845309,0.146442,0.3925352,0.01758998,0.3831396,0.01766273],"study_design_scores_gemma":[0.008320253,0.0004766646,0.001650242,0.0002617171,0.0001527461,0.001280141,0.005407035,0.161054,0.07275177,0.0009252952,0.7452989,0.002421295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4307043,0.0006804629,0.5596592,0.00001872111,0.0005452958,0.001058091,0.0008038362,0.00006539576,0.006464701],"genre_scores_gemma":[0.9771283,8.29659e-7,0.01841184,0.00009563057,0.0002814169,0.00007583208,0.003827556,0.00001473216,0.0001638112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5464241,"threshold_uncertainty_score":0.7344903,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974163989","doi":"10.1007/s10796-015-9547-4","title":"A new method to identify collaborative partners in social service provider networks","year":2015,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada","funders":"","keywords":"Betweenness centrality; Computer science; Service provider; Service (business); Social network (sociolinguistics); Centrality; Host (biology); Construct (python library); Set (abstract data type); Social graph; Computation; Social network analysis; Knowledge management; Distributed computing; Computer network; World Wide Web; Social media; Algorithm; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02578536925492826,"gpt":0.3267204899380075,"spread":0.3009351206830793,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368479,0.0001600859,0.0002748682,0.0003111433,0.0001249059,0.001000317,0.000436455,0.0001253961,6.13334e-7],"category_scores_gemma":[0.00006929314,0.0001601696,0.00003384875,0.001730854,0.000008849361,0.00286138,0.0001221811,0.0001449244,0.00008967481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002888078,"about_ca_system_score_gemma":0.0004485339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007898636,"about_ca_topic_score_gemma":0.00004327232,"domain_scores_codex":[0.9982214,0.0002458412,0.0005646594,0.0001936858,0.000435811,0.0003386084],"domain_scores_gemma":[0.9986566,0.00003049721,0.0002494181,0.0002734048,0.0005173072,0.0002728219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003901411,0.000008994051,0.0005844943,0.00004796397,0.00003277308,0.000004334135,0.07545671,0.2526892,0.00001445586,0.004590997,0.6147838,0.05174724],"study_design_scores_gemma":[0.001058937,0.00003947568,0.0005533905,0.00008219363,0.000007080075,0.0000151739,0.01959244,0.6176576,0.00004692354,0.0001589361,0.3604453,0.0003425481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008658147,0.0001004875,0.9909689,0.001161264,0.002405,0.0005743998,0.000002036124,0.0001630776,0.003759059],"genre_scores_gemma":[0.6803421,0.000002012798,0.3128111,0.004255838,0.0008061757,0.0002132371,0.00003200175,0.00002984325,0.00150774],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6794763,"threshold_uncertainty_score":0.9646078,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2138739849","doi":"10.1007/s10796-011-9306-0","title":"A mashup based framework for multi level healthcare interoperability","year":2011,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Mashup; Health care; Computer science; Implementation; Knowledge management; Workflow; Process management; Healthcare delivery; World Wide Web; Business; Software engineering; Web service; Web 2.0; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.1413933666769165,"gpt":0.2752428217658082,"spread":0.1338494550888918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005362935,0.0001881552,0.0003004561,0.000385824,0.0002332918,0.0003466264,0.0002605216,0.0001483585,0.00001988784],"category_scores_gemma":[0.0001938942,0.0001642839,0.0001324052,0.0004048477,0.00003770161,0.003080814,0.00003700587,0.0001232732,0.0001190328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006516642,"about_ca_system_score_gemma":0.00004654296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870486,"about_ca_topic_score_gemma":0.00002371816,"domain_scores_codex":[0.998677,0.00001113289,0.0006351067,0.000176729,0.0002265954,0.0002734134],"domain_scores_gemma":[0.9983815,0.00001174243,0.0004396845,0.0002923197,0.0008515798,0.0000231568],"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":[0.002044813,0.000925504,0.2968,0.03653337,0.0009807169,0.000004601726,0.01608954,0.01679349,0.00002030881,0.3053252,0.06927978,0.2552026],"study_design_scores_gemma":[0.0009681109,0.00001165165,0.002537902,0.0003070057,0.00008137736,5.538436e-7,0.00603595,0.9308174,0.00001382804,0.001381866,0.05743529,0.0004090211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004838318,0.0001319275,0.9916556,0.0003851671,0.001554936,0.000489874,0.00003053141,0.0002170409,0.0006966374],"genre_scores_gemma":[0.9585941,0.000002026601,0.03896059,0.001763938,0.0002726841,0.000198991,0.0001264347,0.00001809816,0.00006315166],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9537557,"threshold_uncertainty_score":0.6699302,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979755952","doi":"10.1007/s10796-010-9262-0","title":"Organizational schemata of e-portfolios for fostering higher-order thinking","year":2010,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Saint Mary's University","funders":"","keywords":"Schema (genetic algorithms); Portfolio; Higher-order thinking; Computer science; Knowledge management; Order (exchange); Higher education; Mathematics education; Psychology; Teaching method; Cognitively Guided Instruction","retraction":null,"screen_n_in":null,"score":{"opus":0.01649288044625329,"gpt":0.2324878191563004,"spread":0.2159949387100471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003633946,0.00009340124,0.000176993,0.0001874789,0.0001044238,0.0002048724,0.000569286,0.00009196319,0.000005143762],"category_scores_gemma":[0.000128035,0.00008337964,0.0000362732,0.0002923082,0.00003141847,0.001971185,0.000147359,0.00007056769,0.00001343491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001690914,"about_ca_system_score_gemma":0.000084756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002466863,"about_ca_topic_score_gemma":0.000001595005,"domain_scores_codex":[0.9989929,0.000009789303,0.000464336,0.00009767547,0.0002788466,0.0001564429],"domain_scores_gemma":[0.9988513,0.00004030579,0.0003299881,0.0003274855,0.0004126947,0.00003821119],"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":[0.00001378968,0.00002441348,0.008235717,0.0004959113,0.00009491804,7.709758e-7,0.004895415,0.0004803145,0.001593428,0.9507991,0.02293706,0.01042914],"study_design_scores_gemma":[0.004613242,0.0002242633,0.01162651,0.0003794379,0.00006806707,0.0001767499,0.006277739,0.4468991,0.02463134,0.03313359,0.4703501,0.001619805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006067554,0.00004980995,0.9832104,0.0002408786,0.004368216,0.0003239153,0.000007500387,0.0001584014,0.005573256],"genre_scores_gemma":[0.814382,0.000002883522,0.1852358,0.0001231205,0.00009258967,0.00003097344,0.00002399612,0.000005954983,0.0001026302],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9176655,"threshold_uncertainty_score":0.3400123,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2803011530","doi":"10.1007/s10796-018-9857-4","title":"Determinants of Intention to Participate in Corporate BYOD-Programs: The Case of Digital Natives","year":2018,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Universität Ulm","keywords":"Workforce; Bring your own device; Business; Set (abstract data type); Work (physics); Marketing; Public relations; Computer science; Mobile device; Economics; Political science; Engineering; Economic growth","retraction":null,"screen_n_in":null,"score":{"opus":0.1407603304863805,"gpt":0.3742612372903282,"spread":0.2335009068039478,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001567736,0.00008819184,0.000251696,0.0005711387,0.00006415322,0.000139449,0.0003656827,0.0000842097,0.000006793786],"category_scores_gemma":[0.0007112428,0.00005629082,0.00005521824,0.0009702712,0.0003015295,0.001451004,0.00007974559,0.00006981208,0.0001073673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003145716,"about_ca_system_score_gemma":0.00003338801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001610744,"about_ca_topic_score_gemma":0.0001457638,"domain_scores_codex":[0.9980524,0.00009294716,0.001226028,0.0001084255,0.0003679164,0.000152351],"domain_scores_gemma":[0.9977691,0.00005444881,0.001054807,0.0003572984,0.0007149169,0.00004948915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006933348,0.00003783161,0.8981061,0.00001330998,0.00001076763,0.000009621209,0.008827603,0.00004613006,0.00002299601,0.0009453952,0.001600108,0.09031079],"study_design_scores_gemma":[0.002612587,0.00139729,0.5272822,0.0004423509,0.00005600523,0.0005676586,0.378207,0.05923001,0.004110694,0.005608291,0.01983608,0.0006497975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840087,0.00001848927,0.01426278,0.00007309164,0.0007707215,0.0004111794,0.00003777367,0.00002710048,0.000390195],"genre_scores_gemma":[0.9995857,8.283565e-7,0.0002072452,0.00001972975,0.000007007494,0.00003545219,0.000003162919,0.000002926942,0.0001379756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3708239,"threshold_uncertainty_score":0.2295473,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1481202179","doi":"10.1007/s10796-008-9080-9","title":"Team performance and information system implementation","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Earned value management; Computer science; Duration (music); Project management; Learning curve; Control (management); Work breakdown structure; Project team; Project management triangle; Project-based learning; Operations research; Engineering management; Process management; Knowledge management; Systems engineering; OPM3; Artificial intelligence; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.01380059097708359,"gpt":0.2235001847961442,"spread":0.2096995938190606,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005318565,0.0002162476,0.0002533254,0.0007522646,0.000544755,0.0006441777,0.0001447199,0.00007930686,0.00002533968],"category_scores_gemma":[0.00002730072,0.0002025629,0.00004785389,0.0004332556,0.00004691627,0.03150425,0.00005599172,0.00009127001,0.0008147869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811007,"about_ca_system_score_gemma":0.00005093562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007997134,"about_ca_topic_score_gemma":0.0000034952,"domain_scores_codex":[0.9980493,0.00001834853,0.000992107,0.0001068226,0.0005211036,0.0003123295],"domain_scores_gemma":[0.9986234,0.000008681521,0.0007999655,0.0001994974,0.0003308974,0.0000375716],"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":[0.0001122561,0.00001551234,0.3401409,0.0030634,0.0001280216,0.000001577133,0.005899854,0.0006657042,0.00001905023,0.03849355,0.5829257,0.02853446],"study_design_scores_gemma":[0.001966531,0.00002702548,0.09555487,0.00008168144,0.00002973117,0.0001053606,0.0410035,0.03288719,0.00002022583,0.000003065535,0.8279473,0.0003735451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7975171,0.0001043152,0.03505655,0.0003499622,0.006044805,0.00283751,0.00007387355,0.001052839,0.1569631],"genre_scores_gemma":[0.9980836,0.00002030125,0.0001590582,0.0008604186,0.0003413926,0.0001072642,0.0003329165,0.00001162336,0.00008345467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450216,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2471349823","doi":"10.1007/s10796-016-9662-x","title":"Mining variable fragments from process event logs","year":2016,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Reusability; Process mining; Fragment (logic); Process (computing); Event (particle physics); Composability; Flexibility (engineering); Identification (biology); Data mining; Point (geometry); Distributed computing; Software engineering; Work in process; Business process management; Business process; Algorithm; Programming language; Software; Operations management","retraction":null,"screen_n_in":null,"score":{"opus":0.0096199973210909,"gpt":0.203663462788763,"spread":0.1940434654676721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003480317,0.0001929569,0.0002803793,0.0003746399,0.0001967493,0.0005266033,0.0002827665,0.0001066738,0.00007853266],"category_scores_gemma":[0.0001072134,0.0001356648,0.00006414722,0.0005018616,0.0000270168,0.006731306,0.00005646916,0.00005380638,0.0005650869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006594605,"about_ca_system_score_gemma":0.00004235945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000858311,"about_ca_topic_score_gemma":0.00000222054,"domain_scores_codex":[0.9984394,0.000007625886,0.0006260425,0.0001843333,0.0004584912,0.0002841344],"domain_scores_gemma":[0.998674,0.00001570419,0.000572066,0.0002347169,0.0004822824,0.00002122574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004311154,0.0003124248,0.31107,0.004048067,0.001663553,0.00001026541,0.003853203,0.1078234,0.0006043668,0.01266136,0.3098748,0.2476475],"study_design_scores_gemma":[0.003065423,0.000009347724,0.001517983,0.001469051,0.0003156275,0.000002414527,0.009841352,0.408747,0.00008214456,0.00366347,0.5701533,0.00113284],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1167358,0.0002345759,0.867008,0.000544889,0.002452585,0.0002656068,0.00001958891,0.0003331802,0.01240578],"genre_scores_gemma":[0.9975514,0.000007981244,0.0005442707,0.0006180184,0.0006259484,0.00006853348,0.0001046926,0.00001645783,0.0004626402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8808157,"threshold_uncertainty_score":0.7263238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2474788923","doi":"10.1007/s10796-016-9668-4","title":"Leveraging clustering to improve collaborative filtering","year":2016,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"University of Minnesota","keywords":"Collaborative filtering; Computer science; Cluster analysis; Data mining; Matrix decomposition; Recommender system; Machine learning; Variety (cybernetics); Artificial intelligence; Similarity (geometry); Cluster (spacecraft)","retraction":null,"screen_n_in":null,"score":{"opus":0.01047750788354289,"gpt":0.2223502506470609,"spread":0.211872742763518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004726428,0.000154067,0.0002173925,0.0003043218,0.0001270022,0.0005659324,0.0005453707,0.00006203518,0.000001749493],"category_scores_gemma":[0.00003352876,0.0001103451,0.00004093207,0.0003348512,0.00001056835,0.004049568,0.0002230732,0.00004811005,0.000113125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392244,"about_ca_system_score_gemma":0.0000529199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007587278,"about_ca_topic_score_gemma":0.000001568182,"domain_scores_codex":[0.9986669,0.00005774595,0.0005321163,0.0001858986,0.0002718028,0.0002855203],"domain_scores_gemma":[0.9989381,0.00002634843,0.0002336741,0.000461353,0.0002073479,0.0001331921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002963647,0.00001688849,0.001411136,0.0002699003,0.0001447167,0.000007353999,0.02699588,0.0005580526,0.008415783,0.01758278,0.2339834,0.7105844],"study_design_scores_gemma":[0.0007748703,0.0001431727,0.0003210727,0.0004510711,0.000003538139,0.00003344336,0.002629327,0.02997309,0.009803405,0.0001628399,0.9551097,0.0005944631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007790227,0.0000457127,0.9861097,0.0008245385,0.003637959,0.0005832716,0.00001052714,0.000447962,0.00756129],"genre_scores_gemma":[0.9290549,0.000008835927,0.06964748,0.0003609192,0.0001130014,0.0002480845,0.000001727746,0.00001003913,0.000555066],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9282758,"threshold_uncertainty_score":0.5457299,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1971671374","doi":"10.1007/s10796-008-9132-1","title":"Monitoring user activities in smart home environments","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Bedroom; Computer science; Scalability; Wireless sensor network; Home automation; Context (archaeology); Architecture; Ubiquitous computing; Activity recognition; Ambient intelligence; Context awareness; Wireless; Human–computer interaction; Computer network; Telecommunications; Database; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.009883682243625578,"gpt":0.1862854803638706,"spread":0.176401798120245,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001951153,0.0001406933,0.0001903399,0.0003265321,0.0001311084,0.0001378634,0.0004449637,0.00009480866,6.357991e-7],"category_scores_gemma":[0.000007488994,0.0001449627,0.00004007286,0.0003015778,0.00004385071,0.00366215,0.00009117628,0.0001367212,0.00007983224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002409799,"about_ca_system_score_gemma":0.00002755573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008325535,"about_ca_topic_score_gemma":7.810078e-7,"domain_scores_codex":[0.9986113,0.0000633517,0.0004275501,0.0001418688,0.000448841,0.0003071453],"domain_scores_gemma":[0.9993266,0.00002647232,0.000184239,0.0003742936,0.00001538474,0.00007301666],"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":[0.00001540173,0.00005247074,0.2615062,0.00004230502,0.00004045256,0.0000263772,0.01070281,0.7119488,0.00009544309,0.002359572,0.005181468,0.008028677],"study_design_scores_gemma":[0.002089971,0.00007958854,0.1334199,0.0002915322,0.000005768218,0.0001411766,0.004172856,0.6284606,0.002428992,0.00001685963,0.227808,0.001084707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3880387,0.0002540766,0.6047009,0.00002884147,0.00420857,0.0001936396,0.00000144408,0.0001393027,0.002434447],"genre_scores_gemma":[0.9938579,0.00009956145,0.005264163,0.0000303184,0.000066786,0.00003789137,0.000003747556,0.000006869445,0.0006327434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6058192,"threshold_uncertainty_score":0.5911406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4233333049","doi":"10.1007/s10796-008-9124-1","title":"Monitoring user activities in smart home environments","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Computer science; Bedroom; Scalability; Wireless sensor network; Context (archaeology); Home automation; Architecture; Ubiquitous computing; Activity recognition; Ambient intelligence; Context awareness; Human–computer interaction; Real-time computing; Computer network; Telecommunications; Database; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.007434234030408974,"gpt":0.1732717987598799,"spread":0.165837564729471,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007175224,0.0001131682,0.0001500228,0.0003155984,0.00006347964,0.00003779403,0.0001100953,0.0001149054,0.000002532204],"category_scores_gemma":[0.000008596079,0.0001187331,0.00002608804,0.0001607363,0.00003643873,0.001465641,0.0000157668,0.0001085283,0.00008949168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002157741,"about_ca_system_score_gemma":0.000007965384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002775498,"about_ca_topic_score_gemma":5.411056e-7,"domain_scores_codex":[0.9992399,0.00001063006,0.0003202771,0.00005099722,0.0001868961,0.0001912559],"domain_scores_gemma":[0.9997675,0.00000747663,0.00004560069,0.0001440734,0.000007722668,0.00002756511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001922432,0.0000182753,0.6502851,0.0002708969,0.00009031047,0.00001294703,0.0102199,0.3107408,0.0003692632,0.0004936606,0.01809848,0.009381118],"study_design_scores_gemma":[0.002941997,0.00006261267,0.1690162,0.0003238378,0.00001717896,0.00008941885,0.03997628,0.112027,0.03884556,0.00005626697,0.6351296,0.001514125],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.81406,0.0007092804,0.1729098,0.00001012069,0.004252589,0.0003625359,0.00001330166,0.0008128944,0.00686939],"genre_scores_gemma":[0.99902,0.0003037243,0.0003172824,0.000006555038,0.0000319857,0.0000536362,0.000009338977,0.00001122897,0.0002461981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6170311,"threshold_uncertainty_score":0.4841796,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392017470","doi":"10.1007/s10796-024-10475-0","title":"Making Sense of AI Benefits: A Mixed-method Study in Canadian Public Administration","year":2024,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Qualitative Comparative Analysis Research","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Administration (probate law); Computer science; Knowledge management; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.1068463999323775,"gpt":0.4636199508194409,"spread":0.3567735508870634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006080215,0.00009668842,0.000249093,0.001556805,0.0002193712,0.0006507703,0.0001753009,0.00008077075,0.00004639463],"category_scores_gemma":[0.0006532119,0.00009681795,0.00005826223,0.001771024,0.00008490457,0.002413121,0.00001721636,0.0001874038,0.00009606288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008666149,"about_ca_system_score_gemma":0.002195492,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1837386,"about_ca_topic_score_gemma":0.6234388,"domain_scores_codex":[0.9965886,0.001431635,0.0007008497,0.0001334992,0.0007798382,0.0003656138],"domain_scores_gemma":[0.9988368,0.0001789414,0.0001348507,0.0001523538,0.0005234411,0.0001735681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003459737,0.0000823974,0.1179425,0.0002816626,0.0003290813,0.00002081063,0.3206162,0.001448546,0.000007016865,0.4967261,0.03747954,0.02503161],"study_design_scores_gemma":[0.0002746464,0.0001005867,0.01182928,0.0001612752,0.00001825604,0.000002105551,0.4951473,0.0496062,0.00001242647,0.0002660993,0.4423635,0.000218307],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5368547,0.003252263,0.2833959,0.0117155,0.00564862,0.006026129,0.0003740487,0.0002987985,0.152434],"genre_scores_gemma":[0.9991481,0.000007408786,0.0003328765,0.00004356012,0.00004727261,0.00007383008,0.00002594089,0.000004930283,0.0003160778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.49646,"threshold_uncertainty_score":0.8216969,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085569130","doi":"10.1007/s10796-007-9041-8","title":"WS-CDL+ for web service collaboration","year":2007,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Web service; World Wide Web; Usability; Choreography; Field (mathematics); Orchestration; Service (business); Software engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.005917181795584233,"gpt":0.2240959399007577,"spread":0.2181787581051735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007979653,0.0001672123,0.0001912196,0.0003734145,0.0002259773,0.0005165242,0.0006883217,0.0001222048,0.000001311958],"category_scores_gemma":[0.00001216227,0.0001549766,0.00005155993,0.00112787,0.000010262,0.003735238,0.00007079598,0.00007962388,0.0001015023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009716182,"about_ca_system_score_gemma":0.0001415739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001271484,"about_ca_topic_score_gemma":0.0001560829,"domain_scores_codex":[0.9984276,0.00003098684,0.0006135629,0.0001763723,0.0004002647,0.0003511786],"domain_scores_gemma":[0.9982632,0.0000653833,0.0003492804,0.0004445657,0.0007466722,0.0001309309],"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":[0.0005214848,0.0001567348,0.004554471,0.003129747,0.000465678,0.000007793938,0.135187,0.01743446,0.002992785,0.5437326,0.1610907,0.1307265],"study_design_scores_gemma":[0.0009032444,0.0000612737,0.0004955772,0.00004293791,0.00001040634,0.00001225923,0.006456059,0.1440759,0.0008012105,0.0003792914,0.8464944,0.0002673827],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009273598,0.0001785179,0.9752001,0.001186564,0.004482598,0.0008561924,0.00002936997,0.0003413561,0.008451702],"genre_scores_gemma":[0.9157755,0.000008595856,0.07523528,0.007912124,0.0004944679,0.0001669559,0.0002135204,0.00001932088,0.0001742695],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9065019,"threshold_uncertainty_score":0.6319762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1605320031","doi":"10.1023/a:1020883625495","title":"Lightweight Reasoning about Program Correctness","year":2002,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":14,"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":"Computer science; Scalability; Model checking; Abstraction; Programming language; Software engineering; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.0169383087842567,"gpt":0.2487037605851671,"spread":0.2317654518009104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006649952,0.0001640788,0.00020785,0.0002773626,0.0002164943,0.0007597008,0.0007982656,0.0001227858,0.000008969198],"category_scores_gemma":[0.000124343,0.0001521948,0.00006195517,0.0006561499,0.00004371253,0.00606502,0.00007605334,0.0001518084,0.0005326731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000154379,"about_ca_system_score_gemma":0.00002259347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002260663,"about_ca_topic_score_gemma":2.249427e-7,"domain_scores_codex":[0.9982687,0.0001258115,0.0006231245,0.0001753782,0.000480128,0.0003269083],"domain_scores_gemma":[0.998554,0.000018361,0.0004248601,0.0006471178,0.0002340626,0.0001215837],"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":[0.000006709132,0.00005598484,0.001104296,0.0001432066,0.00004122549,0.000002252045,0.01304416,0.0006844554,0.000007437597,0.1030045,0.1187062,0.7631997],"study_design_scores_gemma":[0.0001671075,0.00003524018,0.0004107968,0.00004430603,0.000002969517,0.00002974307,0.0002594846,0.6208433,0.0001214873,0.00002418142,0.3779048,0.0001566008],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007930678,0.0005249215,0.9465914,0.00008090736,0.006422073,0.0006788875,0.000002811508,0.0008758092,0.04403006],"genre_scores_gemma":[0.1965693,0.00006817809,0.8010082,0.0002028506,0.0001811154,0.0004681073,0.00002003082,0.00001505246,0.001467152],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.763043,"threshold_uncertainty_score":0.7325812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2434065075","doi":"10.1007/s10796-016-9657-7","title":"Investigation of feature run-time conflicts on goal model-based reuse","year":2016,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reuse; Artifact (error); Workflow; Context (archaeology); Software engineering; Feature (linguistics); Software; Selection (genetic algorithm); Matching (statistics); Task (project management); Data mining; Artificial intelligence; Systems engineering; Database; Programming language; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02319597374315713,"gpt":0.2323919154180744,"spread":0.2091959416749173,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000537081,0.0001396122,0.0002189408,0.0002680629,0.00004368047,0.00005528098,0.0006428136,0.0001244353,4.119557e-7],"category_scores_gemma":[0.0007751573,0.0001014354,0.00004664424,0.0002266938,0.00005791664,0.002028389,0.00006309973,0.00007876094,0.00004417193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336764,"about_ca_system_score_gemma":0.00008262342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000295867,"about_ca_topic_score_gemma":3.523734e-8,"domain_scores_codex":[0.9988965,0.00008864553,0.00036366,0.0001291341,0.0003457628,0.0001762545],"domain_scores_gemma":[0.9984593,0.0002134459,0.0003270305,0.0007242531,0.0001990715,0.00007683779],"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":[0.00005311307,0.000005096897,0.0003091314,0.0001690498,0.00003297762,8.846338e-7,0.002725396,0.9366812,0.004615164,0.01026726,0.03392545,0.0112153],"study_design_scores_gemma":[0.001318693,0.0002012637,0.0005309908,0.0004650232,0.000008147094,0.000005294907,0.00007464754,0.952791,0.02610139,0.00275096,0.01530594,0.0004466219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004267785,0.0000421003,0.9934236,0.0004931782,0.0008634432,0.0002410305,0.00001769785,0.0004051621,0.0002460179],"genre_scores_gemma":[0.2273225,0.000004963831,0.771876,0.0002395695,0.00003513604,0.00004280533,0.00001255858,0.00001115336,0.0004552213],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2230548,"threshold_uncertainty_score":0.4136416,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2090760267","doi":"10.1007/s10796-005-4810-8","title":"Combining Cooperative and Non-Cooperative Automated Negotiations","year":2005,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Taiwan University; National Tsing Hua University; Mitacs","keywords":"Negotiation; Computer science; Architecture; Key (lock); Process (computing); Protocol (science); Quality (philosophy); Game theory; Knowledge management; Process management; Human–computer interaction; Microeconomics; Business; Computer security; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.009548791357174426,"gpt":0.2311314806241331,"spread":0.2215826892669586,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004176409,0.0001948182,0.0002740495,0.0002825635,0.0004003648,0.0007777737,0.0002783951,0.0001081788,0.000004811832],"category_scores_gemma":[0.00005136248,0.0001765424,0.00003698976,0.0003916242,0.00003656417,0.00670831,0.00007718491,0.0001153229,0.0002122933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294484,"about_ca_system_score_gemma":0.00009535618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001124025,"about_ca_topic_score_gemma":0.000009879838,"domain_scores_codex":[0.9984194,0.000115844,0.0006887984,0.0001984858,0.0003277556,0.0002497207],"domain_scores_gemma":[0.9988172,0.00004122414,0.0003544731,0.0002987515,0.0003559086,0.0001324575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003910767,0.0001777319,0.00829317,0.000348999,0.0005267438,0.000006456117,0.1734483,0.2201987,0.001077398,0.1291298,0.434388,0.03236554],"study_design_scores_gemma":[0.0008379545,0.00004376187,0.002563223,0.0000535358,0.000006183365,0.00002008742,0.002124658,0.9605801,0.0002324502,0.000003367688,0.0333118,0.0002229463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01346211,0.0002140244,0.9748433,0.0005323095,0.001641267,0.0008503631,0.0000176753,0.0006698557,0.007769147],"genre_scores_gemma":[0.9898378,0.00001807147,0.009275838,0.0003077695,0.00008765115,0.00008897765,0.00004703407,0.00000733608,0.0003295518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9763756,"threshold_uncertainty_score":0.750009,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053615160","doi":"10.1007/s10796-007-9045-4","title":"EXEM: Efficient XML data exchange management for mobile applications","year":2007,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Advanced Data Storage Technologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Lossy compression; Lossless compression; XML; XML database; Metadata; Data exchange; XML framework; Efficient XML Interchange; Database; Data compression; Operating system; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.02048085955206735,"gpt":0.271055292835289,"spread":0.2505744332832217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008887293,0.0001329299,0.000151261,0.0003738232,0.0001862341,0.0002059626,0.00216519,0.00007447069,7.188393e-7],"category_scores_gemma":[0.00002183801,0.0001290282,0.00002783879,0.0004921054,0.00004676405,0.002489572,0.0007621786,0.00006626132,0.00009644011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732653,"about_ca_system_score_gemma":0.00001713058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007791316,"about_ca_topic_score_gemma":0.000001059058,"domain_scores_codex":[0.9985814,0.000009047621,0.0004970356,0.0002662026,0.0003200099,0.0003262843],"domain_scores_gemma":[0.9974815,0.00003873653,0.0002875816,0.00201547,0.0001137171,0.00006298411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001191949,0.00004166243,0.00003084126,0.0004320224,0.00005229667,0.000001965532,0.0008255499,0.007483282,0.000008167029,0.1297491,0.1241694,0.7371938],"study_design_scores_gemma":[0.0002894116,0.000020355,0.00002251542,0.0000135416,0.000006516979,0.000005436721,0.002688766,0.1120929,0.00006426986,0.000200385,0.8844434,0.0001524556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00003808264,0.0005619496,0.9913928,0.00005333489,0.001047977,0.002659875,0.0001905575,0.0007463415,0.003309107],"genre_scores_gemma":[0.07572694,0.00007890328,0.9193488,0.0002089353,0.0001187087,0.002994476,0.001009793,0.00001709735,0.0004963518],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7602741,"threshold_uncertainty_score":0.5261618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3044696131","doi":"10.1007/s10796-020-10027-2","title":"Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions","year":2020,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cluster analysis; Latent Dirichlet allocation; Dirichlet process; Dirichlet distribution; Artificial intelligence; Process (computing); Categorization; Machine learning; Class (philosophy); Data mining; Topic model; Hierarchical Dirichlet process; Pattern recognition (psychology); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01273554771810375,"gpt":0.2493567327782382,"spread":0.2366211850601344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003799818,0.0001255004,0.0003224886,0.0001276285,0.00008052972,0.00006939747,0.0004657894,0.00009095515,0.000003001654],"category_scores_gemma":[0.0002663849,0.0001114447,0.00008224329,0.0006306453,0.00004494883,0.001350527,0.00006903093,0.0001526306,0.000004130171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000028776,"about_ca_system_score_gemma":0.000127366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001833288,"about_ca_topic_score_gemma":1.48663e-7,"domain_scores_codex":[0.9983888,0.0001330154,0.0007465051,0.0001337054,0.0004387845,0.0001592476],"domain_scores_gemma":[0.9985349,0.00005442965,0.0006504782,0.0001898967,0.0004608592,0.00010943],"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":[0.0001696466,0.0004143648,0.01238936,0.003252557,0.0005917331,0.000003838542,0.04645591,0.06696729,0.00195689,0.7315897,0.05189988,0.08430882],"study_design_scores_gemma":[0.0008204787,0.0001276643,0.00239734,0.000099636,0.00003013076,0.000008181477,0.0006258216,0.9751225,0.00135813,0.001858574,0.01727884,0.0002726807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001778912,0.0002087481,0.9955311,0.000662875,0.0003783579,0.0002482921,0.0001407526,0.00008175611,0.000969219],"genre_scores_gemma":[0.8146335,0.000009444221,0.1849497,0.0001336923,0.00006810499,0.00001627965,0.000157804,0.000004616139,0.00002677424],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9081553,"threshold_uncertainty_score":0.4544582,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1979565486","doi":"10.1007/s10796-008-9082-7","title":"Decision models for information systems management","year":2008,"lang":"en","type":"article","venue":"Information Systems Frontiers","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Information system; Knowledge management; Data science; Process management; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.04757998226123765,"gpt":0.2436019672303021,"spread":0.1960219849690644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005257267,0.0002430686,0.0002944261,0.0008549343,0.0004466505,0.0009842393,0.0004419968,0.000140175,0.000007366216],"category_scores_gemma":[0.00005286596,0.0002181574,0.00009425878,0.0005789847,0.00004787842,0.02715891,0.0001180211,0.00008248685,0.0009070956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105835,"about_ca_system_score_gemma":0.0000253713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003796496,"about_ca_topic_score_gemma":0.000001555848,"domain_scores_codex":[0.9978269,0.000006345331,0.001014878,0.0001468646,0.0006537852,0.0003512717],"domain_scores_gemma":[0.9982032,0.00002255459,0.0006475809,0.0003991572,0.0007020058,0.00002556175],"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":[0.0001990835,0.0000282865,0.0007476726,0.002031601,0.00008795507,0.00000174941,0.0003849667,0.1302381,9.006317e-7,0.1972543,0.6393161,0.02970928],"study_design_scores_gemma":[0.0004772683,0.000004800822,0.0001850612,0.0001137166,0.00002328344,0.00001075383,0.001432078,0.3289765,0.000001711467,0.0003531042,0.6682075,0.0002142863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001674064,0.0002157386,0.9246924,0.00006040009,0.007313793,0.00166489,0.0000593996,0.0002645651,0.06405475],"genre_scores_gemma":[0.9926586,0.0001425307,0.002906464,0.000795643,0.0007591531,0.0005948435,0.001283504,0.00002365602,0.0008355972],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9909846,"threshold_uncertainty_score":0.9998708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}