{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":262,"total_is_capped":false,"direct_labels_cover":1,"predictions_cover":262,"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":"65828211aece","filters":{"topic":"Cloud Data Security Solutions"}},"results":[{"id":"W1974304004","doi":"10.1109/tsc.2013.2295611","title":"Panda: Public Auditing for Shared Data with Efficient User Revocation in the Cloud","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":321,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Revocation; Cloud computing; Audit; Data integrity; Computer security; Data sharing; Database; Operating system; Overhead (engineering)","retraction":null,"screen_n_in":null,"score":{"opus":0.04147783546398809,"gpt":0.2758063149882002,"spread":0.2343284795242122,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015506,0.0001884761,0.0001809818,0.0001808069,0.0007456737,0.0005558181,0.002706224,0.00006217499,0.000003900889],"category_scores_gemma":[0.00001973898,0.0001491859,0.00004676078,0.001026963,0.00003664532,0.0006348567,0.00003586033,0.000294543,0.00001911298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000673047,"about_ca_system_score_gemma":0.00006527986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001830716,"about_ca_topic_score_gemma":0.0020691,"domain_scores_codex":[0.997897,0.0002198465,0.0003669623,0.0006979213,0.0003885123,0.000429783],"domain_scores_gemma":[0.9968535,0.0009672815,0.0001868488,0.001783353,0.0001429906,0.00006600895],"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":[0.0001214797,0.002593545,0.0007517039,0.001019909,0.0002234212,0.00001029493,0.03680352,0.6558773,0.0006623683,0.04453616,0.001155281,0.256245],"study_design_scores_gemma":[0.0006139661,0.00007769971,0.0007733529,0.0001477294,0.00001815902,0.00001782789,0.0004090509,0.9920893,0.00009723272,0.0001064697,0.00545371,0.0001955444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05087892,0.00001454198,0.9444596,0.003275208,0.0004762851,0.0005311592,0.00009101183,0.0001956158,0.00007761388],"genre_scores_gemma":[0.9570674,0.000001894699,0.04168478,0.0009377326,0.0001598164,0.00003556227,0.0000915219,0.00001602452,0.000005306104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9061884,"threshold_uncertainty_score":0.6083626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2930871722","doi":"10.1109/tcc.2019.2908400","title":"Blockchain-Based Public Integrity Verification for Cloud Storage against Procrastinating Auditors","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":287,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph; University of Waterloo","funders":"National Key Research and Development Program of China; China Scholarship Council; National Natural Science Foundation of China; Brander Beacons Cancer Research","keywords":"Computer science; Cloud computing; Public key infrastructure; Key (lock); Certificate; Public-key cryptography; Information retrieval; Algorithm; Database; Computer security; Encryption; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02825568039486496,"gpt":0.2653957163789077,"spread":0.2371400359840427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001128709,0.0003904458,0.0003730578,0.0003819842,0.001018023,0.0003760472,0.001383489,0.0002162057,0.00001725694],"category_scores_gemma":[0.000130492,0.0004421037,0.0002863535,0.001200017,0.00008318524,0.0001903013,0.00001875574,0.0009059911,0.0001330863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004821885,"about_ca_system_score_gemma":0.0003996806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003733937,"about_ca_topic_score_gemma":0.00003988875,"domain_scores_codex":[0.9966967,0.0002183776,0.0006723328,0.001068971,0.0005685188,0.0007750959],"domain_scores_gemma":[0.9965448,0.001158802,0.0003681433,0.001258765,0.0004449564,0.000224512],"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":[0.0001032694,0.002259594,0.0002569811,0.0005268939,0.0002087793,0.00001395382,0.003496627,0.7850314,0.008250779,0.02040523,0.002950434,0.176496],"study_design_scores_gemma":[0.0009968644,0.0001917382,0.0001559999,0.00013908,0.00001789388,0.000006722938,0.0001354202,0.9904304,0.004803257,0.00023386,0.002407649,0.0004811141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2846341,0.00001242032,0.7065861,0.001210191,0.005776579,0.000907203,0.00007190851,0.0006923318,0.0001091506],"genre_scores_gemma":[0.9440863,8.584034e-7,0.05464145,0.0004583551,0.0006029969,0.00007883316,0.00002250742,0.0000449219,0.00006383649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6594521,"threshold_uncertainty_score":0.9998031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2800439477","doi":"10.1109/tii.2018.2832251","title":"HealthDep: An Efficient and Secure Deduplication Scheme for Cloud-Assisted eHealth Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":216,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Wilfrid Laurier University","funders":"National Key Research and Development Program of China; China Scholarship Council","keywords":"Cloud computing; eHealth; Data deduplication; Computer science; Confidentiality; Encryption; Scheme (mathematics); Computer security; Cloud storage; Server; Security analysis; Database; Computer network; Health care; Operating system; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07556899879148138,"gpt":0.3146846274742344,"spread":0.239115628682753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000729979,0.0002111375,0.0002549395,0.0002497125,0.0009772218,0.0003525733,0.0005319957,0.0003050498,0.000004530612],"category_scores_gemma":[0.00003224687,0.0002132717,0.00006026487,0.0006502453,0.0001444766,0.0007053568,0.000007906959,0.0004100221,0.00003737633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238128,"about_ca_system_score_gemma":0.0003747388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001772646,"about_ca_topic_score_gemma":0.00009060608,"domain_scores_codex":[0.9980623,0.00008541223,0.0008065387,0.0002629332,0.0003430341,0.0004397811],"domain_scores_gemma":[0.9979966,0.0002059947,0.0003077367,0.0008499852,0.0002975755,0.0003420555],"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":[0.001392293,0.005954057,0.00008178332,0.001889387,0.0006476725,0.000003597593,0.07320176,0.08306389,0.0009115342,0.3821634,0.08005513,0.3706354],"study_design_scores_gemma":[0.001654995,0.0009668151,0.00002126853,0.00008454839,0.00002699884,0.00004367578,0.0006181049,0.9789486,0.0007413353,0.00009394031,0.01651679,0.0002829634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05891355,0.00001579087,0.9353938,0.0007555334,0.002910339,0.001311814,0.0003434198,0.0002738504,0.00008195826],"genre_scores_gemma":[0.958126,0.00001658505,0.04024711,0.0005993678,0.0006605825,0.0002396361,0.00005468066,0.00002077256,0.00003527529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8992124,"threshold_uncertainty_score":0.8696967,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104382170","doi":"10.1109/infcom.2013.6567101","title":"Public auditing for shared data with efficient user revocation in the cloud","year":2013,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":181,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Revocation; Computer science; Cloud computing; Computer security; Audit; Data integrity; Database; Operating system; Overhead (engineering)","retraction":null,"screen_n_in":null,"score":{"opus":0.09508017842932087,"gpt":0.2839998612103137,"spread":0.1889196827809929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007030485,0.00007145586,0.00006520825,0.00005869459,0.0001539834,0.0005484296,0.002458548,0.00002368251,0.00004194809],"category_scores_gemma":[0.0003382307,0.00004479598,0.00001212376,0.0005262838,0.00002883923,0.0009429143,0.0005660055,0.00008057223,0.00008473171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003338138,"about_ca_system_score_gemma":0.00007122329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003158512,"about_ca_topic_score_gemma":0.0007830245,"domain_scores_codex":[0.9989583,0.00005687476,0.0001617463,0.0003641674,0.0002131673,0.0002457511],"domain_scores_gemma":[0.9977353,0.0002913009,0.00006249028,0.001757163,0.000116355,0.00003740634],"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":[0.000002642854,0.0003273033,0.00110336,0.00002856397,0.00001427595,0.000001422265,0.002735261,0.0002148567,0.0001292694,0.694371,0.2909696,0.01010245],"study_design_scores_gemma":[0.0004098107,0.00004095516,0.01198511,0.00002240182,0.000004112426,0.00001262012,0.000366237,0.9347665,0.00002701093,0.001588536,0.05061456,0.0001620868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01746369,0.00002047056,0.9485269,0.03182338,0.0001186233,0.0009103328,0.00005795297,0.00009758885,0.000981042],"genre_scores_gemma":[0.8947937,0.000001241648,0.1033045,0.001171721,0.000101386,0.0001920502,0.0003351568,0.000006177735,0.00009414676],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9345517,"threshold_uncertainty_score":0.5288519,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3083181312","doi":"10.1002/ett.4108","title":"Integrating encryption techniques for secure data storage in the cloud","year":2020,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":172,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Cloud computing; Computer science; Cloud computing security; Computer security; Utility computing; Encryption; Access control; Elasticity (physics); Outsourcing; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.06651299196105308,"gpt":0.3203276567431632,"spread":0.2538146647821101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.000691471,0.0001956192,0.0001844736,0.0002981326,0.0007964707,0.0001814193,0.008687061,0.0001551853,0.000005682719],"category_scores_gemma":[0.0004804939,0.0001686772,0.00007438406,0.00189033,0.0001673673,0.0007937252,0.0002584734,0.0009475657,0.00001307417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008434363,"about_ca_system_score_gemma":0.00006860013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006639813,"about_ca_topic_score_gemma":0.0004164627,"domain_scores_codex":[0.9984041,0.0001631966,0.0004118256,0.0005186539,0.000201615,0.0003006433],"domain_scores_gemma":[0.9947425,0.0006565965,0.0001314019,0.004363299,0.00008071592,0.00002551967],"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":[0.00002020698,0.0007512749,0.00002908105,0.00006706536,0.00007201177,0.000002982301,0.01154706,0.001319412,0.001625487,0.3780754,0.01090527,0.5955848],"study_design_scores_gemma":[0.0005428334,0.0004049032,0.00008202147,0.0001488356,0.00005788503,0.00002410855,0.01767724,0.6671094,0.004643299,0.02530248,0.2832668,0.0007401636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004252196,0.0002663971,0.8843539,0.1113866,0.00006325377,0.0007358777,0.0001468946,0.002410692,0.0002111528],"genre_scores_gemma":[0.6094553,0.0004335092,0.3890828,0.0004443017,0.00001642443,0.0004472472,0.0001037978,0.00001265293,0.000003899609],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.66579,"threshold_uncertainty_score":0.9966764,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2410319475","doi":"10.1145/2906153","title":"Ensuring Security and Privacy Preservation for Cloud Data Services","year":2016,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":169,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Cloud computing; Computer science; Outsourcing; Computer security; Information privacy; Cloud computing security; Data security; Server; Data breach; Data Protection Act 1998; Internet privacy; Encryption; World Wide Web; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.1388832782470098,"gpt":0.3745543178729794,"spread":0.2356710396259697,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.006895987,0.0005383233,0.001233684,0.0001982317,0.0004944566,0.0006433389,0.010194,0.0003097485,0.000002654672],"category_scores_gemma":[0.00194262,0.000463183,0.0001679548,0.000550812,0.00007272849,0.001320417,0.01894103,0.0003748366,0.00003503609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009438308,"about_ca_system_score_gemma":0.0002510022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002158816,"about_ca_topic_score_gemma":0.0001251199,"domain_scores_codex":[0.9948438,0.001467025,0.0009258593,0.001723658,0.0003821604,0.0006575334],"domain_scores_gemma":[0.9867412,0.005336788,0.0007760324,0.00676964,0.0002098283,0.0001665454],"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":[5.668414e-7,0.00004111057,0.00006419185,0.01068155,0.000111308,0.000002888251,0.0003684337,5.945665e-7,1.360567e-7,0.002968059,0.001843852,0.9839173],"study_design_scores_gemma":[0.0002483,0.00002574066,0.0001426746,0.007954614,0.00009622606,0.00003367524,0.000003346193,0.01728259,2.965738e-7,0.004091538,0.9695373,0.000583675],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005637195,0.7732643,0.2224469,0.0002205618,0.001165466,0.001107884,0.001338838,0.0003736326,0.00002605092],"genre_scores_gemma":[0.0001712011,0.9588778,0.03717222,0.00005378004,0.001085135,0.00003008463,0.002515252,0.00006714147,0.00002739085],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9833336,"threshold_uncertainty_score":0.999782,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2083257807","doi":"10.1109/cloud.2012.46","title":"Oruta: Privacy-Preserving Public Auditing for Shared Data in the Cloud","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":151,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Audit; Cloud computing; Computer security; Exploit; Information privacy; Identity (music); Data sharing; Data integrity; Internet privacy; Business; Accounting; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.1540783368053455,"gpt":0.335307511632798,"spread":0.1812291748274525,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002187046,0.0001018133,0.0001046727,0.00007738859,0.0002525071,0.0005433896,0.008521461,0.00004422899,0.00006814952],"category_scores_gemma":[0.00266746,0.00007588515,0.00003110674,0.0005971661,0.00002643126,0.003693389,0.006283362,0.0001539856,0.00005349928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004061579,"about_ca_system_score_gemma":0.00006639755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001453368,"about_ca_topic_score_gemma":0.0004073472,"domain_scores_codex":[0.9984077,0.0001106757,0.0002397821,0.000361978,0.0002697233,0.0006101671],"domain_scores_gemma":[0.9955134,0.0007758408,0.00007563975,0.003495864,0.00005041458,0.00008885653],"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":[0.000001869082,0.0002786579,0.007976617,0.00003602929,0.00001789126,0.000002029553,0.005173014,0.000002444429,0.0001465769,0.5893382,0.3908745,0.006152182],"study_design_scores_gemma":[0.0004924345,0.0000202899,0.01396727,0.00002450475,0.000008125522,0.0000317062,0.0006196593,0.2557662,0.00005503709,0.008398808,0.7203045,0.0003114903],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01168652,0.000278425,0.9391351,0.04303763,0.0008181427,0.0006972758,0.0002761527,0.0002430451,0.003827733],"genre_scores_gemma":[0.8809667,0.000004273122,0.1166515,0.001350573,0.0005713638,0.00005972039,0.000308398,0.000009323823,0.00007813391],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8692802,"threshold_uncertainty_score":0.9968429,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077573477","doi":"10.1109/tpds.2012.337","title":"Enabling Dynamic Data and Indirect Mutual Trust for Cloud Computing Storage Systems","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Outsourcing; Server; Cloud storage; Block (permutation group theory); File server; Service provider; Scheme (mathematics); Computer network; Computer security; Database; Distributed computing; Service (business); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.04211926559478843,"gpt":0.2794365580260815,"spread":0.2373172924312931,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009166266,0.0002918079,0.0004317125,0.0001589489,0.0008110162,0.0005106522,0.0007135068,0.0001707507,0.000001228743],"category_scores_gemma":[0.00002785456,0.0002861063,0.00005896103,0.0003802158,0.00009160873,0.0009079625,0.00003631328,0.0002676484,0.00001206926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000118038,"about_ca_system_score_gemma":0.00005794061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002179757,"about_ca_topic_score_gemma":0.0000381701,"domain_scores_codex":[0.9977068,0.0001882545,0.0005156301,0.0006755187,0.0002834514,0.0006303156],"domain_scores_gemma":[0.9978691,0.0004739435,0.0001822702,0.001063365,0.00007927757,0.0003320136],"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":[0.0004182376,0.002963761,0.00185949,0.00332476,0.001703502,0.0000545986,0.01203358,0.9043247,0.001542908,0.03271599,0.02022355,0.0188349],"study_design_scores_gemma":[0.0008865682,0.00007864396,0.0002453121,0.0001112103,0.00006847487,0.0001953956,0.0008392606,0.9870224,0.000006490952,0.00001582074,0.01017811,0.0003523244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02737684,0.002780401,0.9591677,0.0001113501,0.003020518,0.0008287768,0.006423461,0.0002733064,0.00001765559],"genre_scores_gemma":[0.9970924,0.00009016928,0.001888547,0.00002150121,0.0002025109,0.00007128419,0.0005443295,0.00002048995,0.00006881647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9697155,"threshold_uncertainty_score":0.9999591,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2013119597","doi":"10.1109/mmsp.2011.6093813","title":"Optimal resource allocation for multimedia cloud based on queuing model","year":2011,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":106,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Computer science; Provisioning; Resource allocation; Queueing theory; Quality of service; Multimedia; Resource (disambiguation); Service (business); Distributed computing; Resource management (computing); Response time; Computer network; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.05376087137289436,"gpt":0.265394006860981,"spread":0.2116331354880866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003078499,0.0001068662,0.00008851576,0.00008876237,0.0001243116,0.00005303464,0.0007228406,0.00006155835,0.00001885165],"category_scores_gemma":[0.0001287195,0.0001048316,0.00005884933,0.0001651192,0.00003170286,0.0002458138,0.0001263231,0.00008514716,0.00006307668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000524386,"about_ca_system_score_gemma":0.00007496758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007615192,"about_ca_topic_score_gemma":0.00003843735,"domain_scores_codex":[0.9989982,0.00002836668,0.0001699829,0.000366578,0.0001842654,0.0002525579],"domain_scores_gemma":[0.9988888,0.0001534647,0.00005044229,0.0007353708,0.0000738646,0.00009804618],"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":[0.0001075883,0.0007884848,0.00005970693,0.0000315463,0.0000219982,0.000003552611,0.007670126,0.2386363,0.0009700476,0.6731007,0.0655321,0.01307791],"study_design_scores_gemma":[0.0003533715,0.0000745595,0.00005218145,0.000009658879,0.000004411423,7.521234e-7,0.00002574032,0.9939665,0.002013094,0.0008986053,0.002464921,0.0001362531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002410917,0.000004726353,0.9904906,0.0008866801,0.0001340888,0.0002897888,0.0000204917,0.0002621275,0.005500544],"genre_scores_gemma":[0.2943962,3.041412e-7,0.7043964,0.0008484392,0.00005347099,0.00003540562,0.00003158589,0.000008650163,0.0002295281],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7553301,"threshold_uncertainty_score":0.4274909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031708312","doi":"10.1109/tpds.2014.2308218","title":"Shared Authority Based Privacy-Preserving Authentication Protocol in Cloud Computing","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":98,"is_retracted":false,"has_abstract":true,"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; Computer security; Access control; Authentication (law); Anonymity; Encryption; Data sharing; Information privacy; Cloud computing security; Internet privacy","retraction":null,"screen_n_in":null,"score":{"opus":0.0284463017390534,"gpt":0.2812047719963714,"spread":0.252758470257318,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408895,0.0002245178,0.0002905648,0.0001812262,0.000408966,0.0003793188,0.0007736948,0.0001451555,0.000008207298],"category_scores_gemma":[0.00005769769,0.0002283579,0.00007416134,0.0006452912,0.00005422597,0.0004123322,0.00002017215,0.0003191111,0.00002779999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276218,"about_ca_system_score_gemma":0.00007090899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004156249,"about_ca_topic_score_gemma":0.00008797499,"domain_scores_codex":[0.9977365,0.0003920919,0.0005555031,0.0005993873,0.0003362631,0.0003802668],"domain_scores_gemma":[0.9983298,0.0002840282,0.0001611533,0.000942142,0.00009939192,0.0001834387],"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":[0.0001534883,0.001735056,0.001311963,0.0008347763,0.00006793292,0.00001499151,0.001737893,0.9573677,0.0009507585,0.02885343,0.003040084,0.003931921],"study_design_scores_gemma":[0.001331743,0.00007846337,0.00285643,0.0001726707,0.0000090114,0.000010051,0.000046795,0.9920808,0.00004674811,0.0004589153,0.002659549,0.0002488333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002785542,0.000007963069,0.9847468,0.0006439849,0.0004396125,0.0107879,0.0002257252,0.000285617,0.00007688798],"genre_scores_gemma":[0.9883429,4.897347e-7,0.00474207,0.00003952856,0.00005426591,0.006726832,0.00006329754,0.00001096197,0.00001967966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9855573,"threshold_uncertainty_score":0.9312165,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3154781724","doi":"10.1109/tdsc.2021.3074146","title":"Secure Password-Protected Encryption Key for Deduplicated Cloud Storage Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Password; Server; Encryption; Data deduplication; Computer security; Computer network; Cloud computing; Authentication (law); S/KEY; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01994746097948164,"gpt":0.2460090198733315,"spread":0.2260615588938499,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003604023,0.0003344683,0.0003905525,0.0001951749,0.00113065,0.0005526578,0.000521977,0.0002588095,0.00001522678],"category_scores_gemma":[0.00003466552,0.0003658602,0.0001632194,0.0009721391,0.00005182539,0.0004511537,0.00002463542,0.0005762401,0.0000252889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355506,"about_ca_system_score_gemma":0.0001967588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001191301,"about_ca_topic_score_gemma":0.0001759075,"domain_scores_codex":[0.9973649,0.0002085513,0.0005048744,0.0009624649,0.0003522804,0.0006069387],"domain_scores_gemma":[0.9979818,0.0004072486,0.0001737303,0.000816661,0.0003923498,0.0002281662],"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":[0.0003669305,0.003601162,0.00008763219,0.002457979,0.001535879,0.000843669,0.0188218,0.5778259,0.0778283,0.176173,0.01341213,0.1270456],"study_design_scores_gemma":[0.001078785,0.0001556794,0.00003527827,0.0001873969,0.00006364017,0.0004395536,0.0002896545,0.9790853,0.008160446,0.0007019874,0.009288085,0.0005142106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04950305,0.0005405917,0.9457837,0.0007470767,0.001907991,0.0007216919,0.0001832612,0.0005428466,0.00006981426],"genre_scores_gemma":[0.9709315,0.00005349028,0.02834312,0.0001492896,0.0002192784,0.00007788747,0.00005819182,0.00003581653,0.0001314741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9214284,"threshold_uncertainty_score":0.9998794,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2403115307","doi":"","title":"On Verifying Dynamic Multiple Data Copies over Cloud Servers.","year":2011,"lang":"en","type":"preprint","venue":"IACR Cryptology ePrint Archive","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Server; Scalability; Cloud computing; Outsourcing; File server; Computer network; Block (permutation group theory); Cloud storage; Database; Cheating; Service provider; Distributed computing; Service (business); Computer security; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.0590448383529274,"gpt":0.3044836691374198,"spread":0.2454388307844924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.0005482528,0.0006988132,0.0008339136,0.0004085806,0.0003660589,0.0002085037,0.009466354,0.0005270175,0.0001497666],"category_scores_gemma":[0.0007757588,0.0007625474,0.000248394,0.0002137781,0.0006080848,0.0003883889,0.03482213,0.002444409,0.0009299988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002048255,"about_ca_system_score_gemma":0.0004165427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008152102,"about_ca_topic_score_gemma":0.002958495,"domain_scores_codex":[0.9946845,0.000552384,0.0007178072,0.002664348,0.0004461239,0.0009348138],"domain_scores_gemma":[0.9893132,0.001246061,0.0005090374,0.008578212,0.00008712868,0.0002663626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006263785,0.000275806,0.001598591,0.000113856,0.0002547801,0.0001486729,0.003307908,0.0004406572,0.000110709,0.9834627,0.008709792,0.001513907],"study_design_scores_gemma":[0.0006868708,0.00008451147,0.01340254,0.0002145875,0.00005631836,0.00005632122,0.00005324675,0.1507412,0.00007462218,0.8278391,0.005973653,0.0008169615],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07349855,0.0002106281,0.9149344,0.001087503,0.004719035,0.0008016694,0.002148874,0.0006125436,0.00198677],"genre_scores_gemma":[0.2908898,0.0002841672,0.7046475,0.0008762489,0.0002489571,0.0001397625,0.00282911,0.00007870689,0.000005761674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2173913,"threshold_uncertainty_score":0.999857,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400447774","doi":"10.1109/tmc.2024.3415661","title":"Large Language Models (LLMs) Inference Offloading and Resource Allocation in Cloud-Edge Computing: An Active Inference Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Inference; Cloud computing; Resource allocation; Enhanced Data Rates for GSM Evolution; Distributed computing; Artificial intelligence; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.02912644320797005,"gpt":0.2995773100000774,"spread":0.2704508667921074,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008026164,0.0003498989,0.0003336344,0.000598254,0.0005020878,0.0005755826,0.0008459395,0.0001794851,0.000005907051],"category_scores_gemma":[0.0000258131,0.0003910242,0.00008698919,0.001492048,0.00009947527,0.001298138,0.00006319991,0.00096526,0.0000193979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445888,"about_ca_system_score_gemma":0.0001596676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001685424,"about_ca_topic_score_gemma":0.000168971,"domain_scores_codex":[0.9970364,0.0002869255,0.0005177187,0.001143069,0.000380361,0.0006355492],"domain_scores_gemma":[0.9980529,0.0007405056,0.0000992418,0.0008209965,0.00008310599,0.0002032671],"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":[0.00001686322,0.0006679016,0.00002870923,0.0001601194,0.00004754072,0.00002955432,0.05327829,0.7479234,0.001414659,0.0208437,0.0000404152,0.1755488],"study_design_scores_gemma":[0.0003618356,0.0001210037,0.0001298148,0.0002794228,0.00001704774,0.00003372967,0.001758475,0.9947116,0.001430773,0.0005829815,0.0001797397,0.0003935676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2417116,0.0002188363,0.7562356,0.00007166824,0.0003759599,0.0004391364,0.00004963873,0.0005854545,0.0003121154],"genre_scores_gemma":[0.9838015,0.00002550236,0.01582016,0.0001166394,0.0001079061,0.0000398207,0.00003419103,0.00003346036,0.00002079754],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7420899,"threshold_uncertainty_score":0.9998541,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2248302901","doi":"10.1145/2767181","title":"The State of Public Infrastructure-as-a-Service Cloud Security","year":2015,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Cloud computing security; Competition (biology); Computer security; Computer science; Work (physics); Service (business); State (computer science); Security service; Business; Information security; Marketing","retraction":null,"screen_n_in":null,"score":{"opus":0.07616722711998783,"gpt":0.3402759723640706,"spread":0.2641087452440828,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.01518902,0.0007025467,0.001802726,0.0002584915,0.0005964039,0.0007591214,0.01262084,0.0003089359,0.000005844239],"category_scores_gemma":[0.00429125,0.000527685,0.0004330211,0.003124506,0.0002510264,0.0003692601,0.009721814,0.001318126,0.000219427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003069972,"about_ca_system_score_gemma":0.002315928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009192998,"about_ca_topic_score_gemma":0.0008148812,"domain_scores_codex":[0.9892432,0.005977256,0.001576033,0.001061175,0.001108996,0.001033353],"domain_scores_gemma":[0.98628,0.00491297,0.001552073,0.005695269,0.001188891,0.0003707967],"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":[3.589256e-7,0.00003982494,0.00001410028,0.001420395,0.0001412658,0.000006940924,0.0006412182,0.00001497273,2.626983e-8,0.007356711,0.007108741,0.9832554],"study_design_scores_gemma":[0.0001493928,0.00004278138,0.00009469815,0.001118486,0.00006676652,0.00009670568,0.00001387888,0.003331088,2.728569e-7,0.02562292,0.9689314,0.0005315662],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001223077,0.9676638,0.02695487,0.0004067545,0.003073117,0.0007886253,0.0003186667,0.0003647204,0.0003071565],"genre_scores_gemma":[0.0005786214,0.9930251,0.005321566,0.0001387381,0.0004318794,0.00001682097,0.0003666727,0.00007752135,0.00004311721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9827239,"threshold_uncertainty_score":0.9997175,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2468432558","doi":"10.5539/gjhs.v9n3p157","title":"Security Challenges in Healthcare Cloud Computing: A Systematic Review","year":2016,"lang":"en","type":"review","venue":"Global Journal of Health Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Tehran University of Medical Sciences and Health Services","keywords":"Cloud computing; Internet privacy; Health care; Cloud computing security; Information security; Computer security; Computer science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.1093112611897836,"gpt":0.4142722525379137,"spread":0.3049609913481301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.01800724,0.0005463409,0.005189708,0.0005866333,0.0003878532,0.0002055486,0.008094051,0.0001810777,0.000001900178],"category_scores_gemma":[0.001375427,0.0003659627,0.0005969729,0.003940165,0.0003788774,0.0009672586,0.00134549,0.0009315356,0.00007638919],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003437091,"about_ca_system_score_gemma":0.01133387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007304569,"about_ca_topic_score_gemma":0.00006006357,"domain_scores_codex":[0.9891966,0.001593457,0.004724488,0.000951909,0.002186213,0.001347326],"domain_scores_gemma":[0.9902474,0.00036631,0.005944138,0.001842391,0.0007611092,0.0008386709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[4.096507e-7,0.0000702968,0.000002590847,0.7512033,0.00001447788,0.00005814507,0.00006254479,1.190621e-7,1.571527e-9,0.03912324,0.0007889164,0.2086759],"study_design_scores_gemma":[0.000136807,0.0001680494,0.000009209633,0.8963218,0.00006279111,0.005954406,0.00001518128,0.00003376311,7.633147e-9,0.002324172,0.09466037,0.0003134064],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.555612e-7,0.9803116,0.002402377,0.01310056,0.002177634,0.001827966,0.00007152677,0.0000457706,0.00006217698],"genre_scores_gemma":[0.00007180281,0.9971809,0.001577947,0.0009709189,0.0001719231,0.00001269949,0.000001718564,0.00001107355,0.000001000741],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2083625,"threshold_uncertainty_score":0.9998792,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3016918724","doi":"10.1109/tdsc.2020.2987793","title":"Achieving Efficient Secure Deduplication With User-Defined Access Control in Cloud","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Data deduplication; Computer science; Cloud computing; Cloud storage; Access control; Encryption; Computer security; Computer network; Service provider; Security analysis; Database; Service (business); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01824822054756901,"gpt":0.2463545125839495,"spread":0.2281062920363805,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002749083,0.0002846699,0.0003343481,0.0001886651,0.0005042537,0.0004326438,0.0008035927,0.0001193548,0.00001098889],"category_scores_gemma":[0.00001723524,0.0002731367,0.00006901673,0.00113931,0.00005522031,0.0004890623,0.00002688246,0.0006304861,0.00001804854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007931469,"about_ca_system_score_gemma":0.0001098626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001432891,"about_ca_topic_score_gemma":0.0003164004,"domain_scores_codex":[0.9978381,0.0001326158,0.0004016122,0.0008065525,0.0003447859,0.0004763443],"domain_scores_gemma":[0.9987441,0.0003111063,0.0001417367,0.0004728762,0.00009220858,0.0002380193],"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":[0.0001927619,0.0005533429,0.001374077,0.0001711257,0.0001074925,0.00009106901,0.006509527,0.9636748,0.001794984,0.008606629,0.0003850215,0.01653918],"study_design_scores_gemma":[0.001807511,0.0002040963,0.0007352639,0.0001285898,0.00003448239,0.00006378744,0.0001199818,0.9942328,0.001126305,0.00005095349,0.001107635,0.0003886293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2177966,0.0001078234,0.7777847,0.003374713,0.0001977696,0.0004083533,0.00003193989,0.0002373812,0.00006073625],"genre_scores_gemma":[0.9913622,0.00001480031,0.006977894,0.001507447,0.00008369637,0.00001964883,0.000006514524,0.00002328546,0.00000456062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7735655,"threshold_uncertainty_score":0.9999721,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184550865","doi":"10.1142/s0218126622500104","title":"Storage and Proximity Management for Centralized Personal Health Records Using an IPFS-Based Optimization Algorithm","year":2021,"lang":"en","type":"article","venue":"Journal of Circuits Systems and Computers","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Single point of failure; Computer network; File system; Confidentiality; Distributed hash table; Computer security; Hash function; Distributed File System; Peer-to-peer; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.03927322129361103,"gpt":0.2815183754618521,"spread":0.2422451541682411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007138722,0.0001269167,0.0003193614,0.0001382025,0.0002362049,0.000442458,0.0002174819,0.00004265464,8.955369e-7],"category_scores_gemma":[0.00001011366,0.0001267615,0.00006673257,0.0002110574,0.00002778695,0.0006673375,0.00007431847,0.0001024139,6.293756e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536549,"about_ca_system_score_gemma":0.0002495727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000037306,"about_ca_topic_score_gemma":0.00000532783,"domain_scores_codex":[0.9985196,0.0002077617,0.0004635051,0.0002738079,0.0002946178,0.0002407112],"domain_scores_gemma":[0.998807,0.00006185404,0.000433537,0.0001937639,0.0002603335,0.000243565],"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":[0.00006024745,0.001854504,0.001126242,0.00331632,0.0008436051,0.0005806667,0.00983014,0.4621488,0.0002264906,0.03383869,0.006384286,0.47979],"study_design_scores_gemma":[0.001275209,0.0002146464,0.000337208,0.0002742433,0.00002293251,0.0005359092,0.0002496297,0.9953199,0.000004829593,0.00007226037,0.00156321,0.0001300294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009216977,0.001255559,0.987101,0.0005805331,0.001470954,0.0003159491,0.00003349873,0.00002046547,0.000005042183],"genre_scores_gemma":[0.1983227,0.0002203856,0.8003759,0.0005851135,0.0004179848,0.000006269267,0.00002999366,0.00002111543,0.00002054991],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5331711,"threshold_uncertainty_score":0.5169184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2731419512","doi":"10.1109/tbdata.2017.2721444","title":"Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Big Data","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Data deduplication; Computer science; Cloud computing; Big data; Homomorphic encryption; Encryption; Cloud storage; Computer security; Information privacy; Domain (mathematical analysis); Data mining; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.1615457901569007,"gpt":0.3454990075471699,"spread":0.1839532173902692,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001214163,0.0002257065,0.0002182279,0.0002349046,0.001370505,0.001302869,0.01242976,0.0001171264,0.00000628517],"category_scores_gemma":[0.0002462218,0.0002440453,0.00002916725,0.0003486007,0.0002340899,0.001830509,0.001139942,0.0004553581,0.00005213778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008646632,"about_ca_system_score_gemma":0.0001410989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001069586,"about_ca_topic_score_gemma":0.003322822,"domain_scores_codex":[0.9972171,0.0001141115,0.0004154248,0.001415009,0.0003987963,0.0004395848],"domain_scores_gemma":[0.982873,0.0002317413,0.0001951544,0.01648477,0.00005110426,0.0001642443],"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":[0.0001254822,0.00271496,0.005228073,0.0002621128,0.0001717426,0.00008355566,0.00329066,0.007515894,0.009767648,0.003598582,0.009670018,0.9575713],"study_design_scores_gemma":[0.002299718,0.00008852491,0.06750594,0.0003834081,0.00005776799,0.00009716554,0.00008170024,0.8766843,0.001558277,0.001036382,0.0492032,0.0010036],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1457986,0.000112116,0.8466588,0.002826673,0.001803138,0.0003316088,0.00226056,0.0001150762,0.00009345899],"genre_scores_gemma":[0.9842585,0.000131526,0.01486451,0.0001268091,0.0002382163,0.00002279463,0.0003055867,0.00001992057,0.00003216351],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9565676,"threshold_uncertainty_score":0.9999295,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2037386159","doi":"10.1109/tsc.2012.1","title":"THEMIS: A Mutually Verifiable Billing System for the Cloud Computing Environment","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Cloud computing; Computer science; Public key infrastructure; Computer security; Verifiable secret sharing; Service provider; Public-key cryptography; Overhead (engineering); Service-level agreement; Computer network; Service (business); Encryption; Operating system; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02220452439406845,"gpt":0.2375801313520965,"spread":0.215375606958028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001105578,0.0003207976,0.0002832584,0.0001156241,0.002075332,0.0003291615,0.001558161,0.0001121236,0.000008177547],"category_scores_gemma":[0.000003167583,0.0002664443,0.0002195886,0.0004481401,0.00005898056,0.0005330152,0.00004402586,0.0003748599,0.0001451466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404016,"about_ca_system_score_gemma":0.00004478139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001854381,"about_ca_topic_score_gemma":0.00002390177,"domain_scores_codex":[0.9974761,0.0001204728,0.0005322239,0.0005556137,0.0004459906,0.0008696195],"domain_scores_gemma":[0.9971387,0.001216821,0.0002437868,0.001146146,0.00006698399,0.0001875884],"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":[0.00004360891,0.0007580252,0.00009234843,0.0008330969,0.0004170723,0.000003834605,0.02387408,0.8917317,0.002647764,0.01108942,0.0001627525,0.06834625],"study_design_scores_gemma":[0.0004779749,0.00005432652,0.00005054285,0.0002084265,0.0000714753,0.00004743609,0.001995731,0.9851487,0.003925369,0.00002872494,0.007658483,0.0003328068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02520009,0.0003682432,0.9695975,0.0003552719,0.003060905,0.0006642563,0.00005412052,0.0005626741,0.0001369787],"genre_scores_gemma":[0.9505282,0.0000162929,0.04843408,0.0003629366,0.0005650544,0.00003331172,0.000007395975,0.00003462032,0.00001808437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9253281,"threshold_uncertainty_score":0.9999788,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156498190","doi":"10.1002/cpe.3573","title":"Provable multiple replication data possession with full dynamics for secure cloud storage","year":2015,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Merkle tree; Data integrity; Cloud storage; Hash function; Replication (statistics); Server; Reliability (semiconductor); Cloud computing; Overhead (engineering); Computer network; Computer security; Distributed computing; Hash chain; Encryption; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.07417905640899732,"gpt":0.3620698924480471,"spread":0.2878908360390498,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005294178,0.0001338148,0.0001276512,0.00004554381,0.0003270504,0.0003448043,0.0005032029,0.00005527185,6.135766e-7],"category_scores_gemma":[0.001170822,0.0001209046,0.000009084843,0.0002832319,0.0001116676,0.003861865,0.0004172414,0.0001258618,0.000002526712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003404467,"about_ca_system_score_gemma":0.000180549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006940065,"about_ca_topic_score_gemma":0.00005770017,"domain_scores_codex":[0.9985403,0.00008375917,0.0002192994,0.0007451297,0.0002241838,0.0001872918],"domain_scores_gemma":[0.9979194,0.0004644922,0.0002322668,0.0008491626,0.0003784506,0.0001562394],"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":[0.0009248619,0.001230571,0.0028714,0.0003637342,0.0001077804,0.00003870412,0.1078138,0.001588649,0.0005858965,0.3573669,0.02380295,0.5033048],"study_design_scores_gemma":[0.0008390641,0.0003292981,0.0001286697,0.00003721555,0.00002205442,0.0001592971,0.004469206,0.9574574,0.00003544124,0.001489831,0.03481771,0.0002148182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05364488,0.0008069997,0.9423351,0.002147874,0.0003085512,0.0004601373,0.00008287868,0.0001004429,0.0001131284],"genre_scores_gemma":[0.8997489,0.00006668198,0.09930173,0.000233001,0.00006511932,0.00008319634,0.0004761219,0.000007515685,0.00001771357],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9558687,"threshold_uncertainty_score":0.4930348,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2124861652","doi":"10.1109/ccgrid.2012.55","title":"Integrity Verification of Multiple Data Copies over Untrusted Cloud Servers","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Server; Computer science; Cloud computing; Scalability; Scheme (mathematics); File server; Computer network; Cloud server; Cloud storage; Cloud service provider; Database; Computer security; Distributed computing; Operating system; Cloud computing security","retraction":null,"screen_n_in":null,"score":{"opus":0.08581354737686124,"gpt":0.3096711737604653,"spread":0.2238576263836041,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004518812,0.00008622801,0.0001163257,0.00005344806,0.00007036916,0.00004266847,0.001654336,0.00006238102,0.00008872618],"category_scores_gemma":[0.0003241099,0.00008039697,0.00002569829,0.0003719166,0.00007138485,0.001623462,0.001104546,0.0001334006,0.0000820823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004134099,"about_ca_system_score_gemma":0.00004995568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00134843,"about_ca_topic_score_gemma":0.0004538997,"domain_scores_codex":[0.9990087,0.00006789198,0.0002193675,0.0002574781,0.000222268,0.0002243561],"domain_scores_gemma":[0.9974677,0.0001626116,0.00009138203,0.002116584,0.00007340433,0.00008834922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001421204,0.0006208366,0.1308561,0.00006050812,0.00006126999,5.903079e-7,0.00240434,0.00001217339,0.002958156,0.7167074,0.1428675,0.003436847],"study_design_scores_gemma":[0.001223919,0.0000547929,0.4059044,0.00004356973,0.00003913411,0.00001297359,0.0005311058,0.3844447,0.008820923,0.001407403,0.1969591,0.0005579914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3646698,0.00027756,0.628244,0.001649532,0.002071534,0.0003728453,0.0006457213,0.0003852109,0.001683784],"genre_scores_gemma":[0.9433329,0.00001239119,0.05611194,0.0001221033,0.00008441629,0.000002909958,0.0002704159,0.000004174163,0.00005880768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7153,"threshold_uncertainty_score":0.3278493,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205207211","doi":"10.1109/jbhi.2022.3140831","title":"An Efficient Privacy-Preserving Public Auditing Protocol for Cloud-Based Medical Storage System","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Biomedical and Health Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"King Saud University; National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Cloud storage; Protocol (science); Audit; Computer security; Information privacy; Internet privacy; Business; Operating system; Accounting; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.06611312149357979,"gpt":0.3609292984264454,"spread":0.2948161769328657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007995233,0.000137436,0.0003697129,0.0003651723,0.0009807227,0.0001959369,0.001857375,0.00008007788,0.00002831807],"category_scores_gemma":[0.000424266,0.0001118357,0.00008729505,0.0005232585,0.0001126105,0.0004542023,0.0005163675,0.0006498171,0.000001365192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004423629,"about_ca_system_score_gemma":0.003269236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000142723,"about_ca_topic_score_gemma":0.000004195941,"domain_scores_codex":[0.9954298,0.0002169557,0.00185217,0.0001225119,0.001857553,0.0005210135],"domain_scores_gemma":[0.9964544,0.0002813356,0.001441019,0.00042302,0.0002255567,0.001174693],"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":[0.0004863277,0.007881659,0.0007118485,0.03355125,0.0002944825,0.0003431083,0.05047074,0.01605951,0.00006012262,0.1350891,0.5059494,0.2491025],"study_design_scores_gemma":[0.001880218,0.001249387,0.0000577167,0.0002472161,0.000003570142,0.0004019222,0.000753166,0.8774743,0.000003797194,0.0001147219,0.1177076,0.0001063624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004191579,0.00001962397,0.9578895,0.02395626,0.001002968,0.01277302,0.00007547737,0.00007414539,0.00001743436],"genre_scores_gemma":[0.4687748,0.000007854816,0.482426,0.0153088,0.003279563,0.03006161,0.00007964399,0.00005327405,0.000008438211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8614148,"threshold_uncertainty_score":0.7543026,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2729546866","doi":"10.1016/j.future.2017.06.021","title":"Privacy-preserving personal data operation on mobile cloud—Chances and challenges over advanced persistent threat","year":2017,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":41,"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":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Computer security; Cloud computing; Internet privacy; Mobile device; Cryptography; Disadvantage; Data Protection Act 1998; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.09570197978644741,"gpt":0.2984129993800129,"spread":0.2027110195935655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004607064,0.0002682299,0.0002755135,0.00007984412,0.001357684,0.001951906,0.002618465,0.0001277824,0.000007752396],"category_scores_gemma":[0.00002770771,0.0002439283,0.00006017584,0.00005100375,0.00005270279,0.001847447,0.002285996,0.0001738345,0.00002320926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007695395,"about_ca_system_score_gemma":0.00005792507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008850444,"about_ca_topic_score_gemma":0.0003054996,"domain_scores_codex":[0.9976358,0.0001752391,0.0003133952,0.001092228,0.0004931075,0.0002901661],"domain_scores_gemma":[0.9962341,0.00005072389,0.0002513005,0.003195668,0.0001329976,0.0001352413],"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":[0.00004852984,0.0005470376,0.0005420878,0.0006324408,0.0004928627,0.00005280972,0.02612835,0.01622214,0.002486758,0.1268733,0.6603523,0.1656214],"study_design_scores_gemma":[0.0004346377,0.0001868656,0.001050809,0.00007414369,0.00001221659,0.00003579124,0.0001656688,0.7593548,0.00003821761,0.000006367264,0.2383818,0.0002587014],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1963178,0.0736277,0.5170171,0.02849988,0.1789811,0.003404401,0.0006061742,0.0007549576,0.0007909591],"genre_scores_gemma":[0.761615,0.007115412,0.05296763,0.0009691339,0.1753052,0.0003641678,0.0012178,0.00007524816,0.0003703855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7431327,"threshold_uncertainty_score":0.9999424,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385613559","doi":"10.59543/ijmscs.v2i.7971","title":"Comparing Several Encrypted Cloud Storage Platforms","year":2023,"lang":"en","type":"article","venue":"International Journal of Mathematics Statistics and Computer Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Abbott (Canada)","funders":"","keywords":"Cloud computing; Computer science; Encryption; Computer security; Popularity; Cloud storage; Internet privacy; Simple (philosophy); Cryptography; Key (lock); Anonymity; License; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.03189375826789812,"gpt":0.2903129160660223,"spread":0.2584191577981242,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155358,0.0001222197,0.0002079843,0.0004781488,0.0001907452,0.0007020707,0.002248396,0.00002570046,0.000005275439],"category_scores_gemma":[0.0001857766,0.00010593,0.00004130985,0.0005979526,0.0002334143,0.0008536293,0.001086291,0.0001850187,0.00002722039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009090095,"about_ca_system_score_gemma":0.0002081028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007493377,"about_ca_topic_score_gemma":0.000004509723,"domain_scores_codex":[0.9977902,0.00001238837,0.0005300806,0.0002144739,0.001193368,0.0002595523],"domain_scores_gemma":[0.998121,0.0002964611,0.0003860221,0.000267431,0.0007551879,0.0001739516],"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":[0.000003400591,0.000117131,0.0003201994,0.00001891937,0.00004861226,0.0002161937,0.003319692,0.002385391,0.0001668752,0.981672,0.004525166,0.007206454],"study_design_scores_gemma":[0.0003009352,0.0000693569,0.002726568,0.00006281247,0.000005200716,0.0004678722,0.00005129675,0.8962718,0.00005513752,0.0994906,0.0003811243,0.0001172465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1140931,0.00001482985,0.883262,0.000288952,0.002148864,0.00004770625,0.0000336161,0.00004539393,0.00006558225],"genre_scores_gemma":[0.4947691,0.00003893156,0.5048686,0.00009818854,0.0002007574,7.613106e-7,0.000004041177,0.000004913302,0.0000147753],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8938864,"threshold_uncertainty_score":0.6770084,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2610118356","doi":"10.3390/jrfm10020010","title":"A Risk Management Framework for Cloud Migration Decision Support","year":2017,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Austrian Science Fund","keywords":"Cloud computing; Business; Risk management; Decision support system; Process management; Risk analysis (engineering); Computer science; Data mining","retraction":null,"screen_n_in":null,"score":{"opus":0.01298683700902209,"gpt":0.2725239728435512,"spread":0.2595371358345291,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001110582,0.0001343638,0.0002175477,0.0001918627,0.0009002619,0.0004731933,0.001052217,0.00006920552,0.000004063207],"category_scores_gemma":[0.0004070612,0.000119905,0.0001488488,0.00010652,0.00005014922,0.0005877916,0.0006055293,0.0002190019,0.000009508637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004983448,"about_ca_system_score_gemma":0.00001939189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002805827,"about_ca_topic_score_gemma":0.00009228443,"domain_scores_codex":[0.9986764,0.00003375311,0.000448921,0.0002550929,0.0003534759,0.000232416],"domain_scores_gemma":[0.9980546,0.0001331096,0.0008526475,0.0007437528,0.0001117703,0.0001040812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006674565,0.00008726852,0.002338327,0.00002423497,0.00002833923,0.00004882382,0.0003835711,0.00002806515,2.385247e-7,0.3518723,0.01101313,0.634109],"study_design_scores_gemma":[0.00112221,0.0002744076,0.135581,0.0001337575,0.0001644516,0.00001539153,0.00007490339,0.001961552,0.000007400494,0.4472929,0.4131991,0.0001728706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02076057,0.0002067557,0.97619,0.0004427498,0.001752398,0.000319782,0.00004170162,0.00001451173,0.0002714921],"genre_scores_gemma":[0.2819929,0.007796095,0.709503,0.0001283276,0.0004912084,0.00001543265,0.000002546454,0.000008482316,0.00006207935],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.633936,"threshold_uncertainty_score":0.6924178,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900957219","doi":"10.1109/tsc.2018.2881147","title":"Achieving Efficient and Privacy-Preserving Multi-Domain Big Data Deduplication in Cloud","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Services Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of New Brunswick","funders":"China Scholarship Council; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Data deduplication; Computer science; Ciphertext; Encryption; Cloud computing; Brute-force attack; Plaintext; Cloud storage; Domain (mathematical analysis); Computer security; Computer network; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.05500071436828526,"gpt":0.2962869501954648,"spread":0.2412862358271795,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008484153,0.0002401258,0.0002253289,0.000341668,0.0007188132,0.0003359187,0.002664602,0.0001009545,0.000004431169],"category_scores_gemma":[0.0000146877,0.000267375,0.00003833194,0.001141478,0.00009164404,0.0005373461,0.0002958981,0.0003740925,0.00004916586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009855942,"about_ca_system_score_gemma":0.00005588275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007941825,"about_ca_topic_score_gemma":0.003271109,"domain_scores_codex":[0.9975058,0.0001789131,0.0004802192,0.001033086,0.0003173944,0.0004846271],"domain_scores_gemma":[0.9971808,0.0003090792,0.0001606573,0.002112578,0.00009720252,0.0001396771],"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":[0.000141955,0.004475446,0.006738057,0.001196366,0.0002885257,0.00005601466,0.08015012,0.1283022,0.03171347,0.0046375,0.0003269146,0.7419735],"study_design_scores_gemma":[0.0005898793,0.00004631369,0.004538484,0.0002356219,0.0000108815,0.00002405058,0.0002929131,0.992625,0.0006434036,0.00009326095,0.0006295005,0.0002707206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3764309,0.00005869657,0.6217468,0.0005426696,0.0007475802,0.0002227331,0.00002674849,0.0001853302,0.00003846196],"genre_scores_gemma":[0.9074249,0.00001110975,0.09192002,0.000381494,0.0002166464,0.000006978076,0.0000152102,0.00001906779,0.000004567923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8643228,"threshold_uncertainty_score":0.9999778,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4214945104","doi":"10.1016/j.compeleceng.2022.107833","title":"Risk monitoring strategy for confidentiality of healthcare information","year":2022,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Cloud Data Security Solutions","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":"Brandon University","funders":"","keywords":"Confidentiality; Encryption; Computer security; Computer science; Health care; Modular design; Risk analysis (engineering); Business; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.01617353528717761,"gpt":0.255189943161551,"spread":0.2390164078743734,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000332057,0.0001058348,0.0001789059,0.0001922036,0.0002114813,0.00007576554,0.0007051429,0.00003204462,0.000001498144],"category_scores_gemma":[0.00007849631,0.00013369,0.0000871781,0.0007008712,0.000008507423,0.0004662571,0.00032682,0.0002955174,0.000001230254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909276,"about_ca_system_score_gemma":0.00008459276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002339803,"about_ca_topic_score_gemma":0.000001120358,"domain_scores_codex":[0.9988272,0.0000475765,0.0003514505,0.0001828376,0.0002854094,0.000305568],"domain_scores_gemma":[0.9991089,0.0002344715,0.0001360447,0.0003378934,0.00009355482,0.00008911416],"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":[0.00001696004,0.00009236653,0.0004239775,0.0001353007,0.0000660943,0.00000211989,0.001452195,0.7250888,0.0004477875,0.1940233,0.001053499,0.07719754],"study_design_scores_gemma":[0.0002891474,0.0001870137,0.001834626,0.000006787819,0.000006714123,0.000009540067,0.0000185863,0.9929767,0.0005319134,0.0006224846,0.003380485,0.0001359545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01255871,0.0002019406,0.9857455,0.0001829717,0.0007805912,0.0002658361,0.0000605911,0.0001973766,0.000006504227],"genre_scores_gemma":[0.9652689,0.000008580646,0.03452338,0.00002993306,0.00007378883,0.00005857194,0.00002930042,0.00000629632,0.000001206487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9527102,"threshold_uncertainty_score":0.5451719,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109218172","doi":"10.1109/tdsc.2020.3036641","title":"Identity-Based Provable Data Possession From RSA Assumption for Secure Cloud Storage","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Dependable and Secure Computing","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Homomorphic encryption; Computer science; Cloud computing; Cloud storage; Data integrity; Outsourcing; Computer security; Theoretical computer science; Database; Encryption; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.06019659581071485,"gpt":0.2966887080416012,"spread":0.2364921122308863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004557458,0.0003130192,0.000350632,0.0001276319,0.001017689,0.0006512457,0.001491662,0.0001936191,0.00003411501],"category_scores_gemma":[0.00004309254,0.0003321193,0.0001122507,0.0005947776,0.00005035185,0.001834119,0.00006982848,0.000560173,0.00003768728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006569517,"about_ca_system_score_gemma":0.0001885743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002487248,"about_ca_topic_score_gemma":0.0003555856,"domain_scores_codex":[0.9972728,0.0001425361,0.0004468734,0.001206159,0.0004549185,0.0004766668],"domain_scores_gemma":[0.9978443,0.000444276,0.0001878352,0.001104526,0.0001343465,0.0002847246],"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":[0.001385266,0.005037118,0.0005045003,0.003051143,0.001681512,0.0004627235,0.02453313,0.5478197,0.05282699,0.03767768,0.07337215,0.2516481],"study_design_scores_gemma":[0.001181877,0.000182539,0.00003676339,0.0001230642,0.00009036076,0.00001021849,0.0001148792,0.9851058,0.003558365,0.0008359412,0.00837425,0.0003859087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0308692,0.000256933,0.9627223,0.002645338,0.001164599,0.0006403865,0.001231181,0.0004477944,0.00002223972],"genre_scores_gemma":[0.8940638,0.0000215081,0.1042107,0.0009375412,0.0003453415,0.00001600216,0.0003596929,0.00003322976,0.00001212267],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8631946,"threshold_uncertainty_score":0.9999131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061194392","doi":"10.1109/pst.2012.6297923","title":"A secure data deduplication framework for cloud environments","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Data deduplication; Computer science; Cloud computing; Encryption; Hash function; Cloud storage; Database; Service provider; Client-side encryption; Merkle tree; Data security; Cryptographic hash function; Computer network; Computer security; On-the-fly encryption; Service (business); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.06233002930112769,"gpt":0.3183911000696773,"spread":0.2560610707685496,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003092921,0.0000845039,0.00007259846,0.00002695735,0.0001345119,0.00006869074,0.001830605,0.00007709671,0.00003888535],"category_scores_gemma":[0.0001596687,0.0000819768,0.00002437519,0.0001507483,0.00002558104,0.001070273,0.001095715,0.00009144067,0.0003050681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003754894,"about_ca_system_score_gemma":0.00001727088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001223946,"about_ca_topic_score_gemma":0.000006714271,"domain_scores_codex":[0.9990343,0.0000215066,0.0001357497,0.0003340079,0.0001586834,0.000315788],"domain_scores_gemma":[0.9972587,0.0001752233,0.00005257022,0.002378881,0.000008483803,0.0001261918],"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":[9.858518e-7,0.0001206607,0.000460349,0.000003771767,0.000008775949,5.040766e-8,0.0003072367,0.000001375177,0.00009229103,0.9516799,0.04359301,0.003731637],"study_design_scores_gemma":[0.0001697309,0.00002099108,0.002966856,0.000008093111,0.00001455861,0.000007890839,0.00003523613,0.04548569,0.0004915915,0.05435095,0.8962309,0.0002175224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009677874,0.0002056934,0.9951384,0.002384906,0.0005039083,0.0002901782,0.0001470864,0.0001011822,0.0002608749],"genre_scores_gemma":[0.2315998,0.00001575011,0.7662493,0.001146665,0.0004518622,0.00005268318,0.0003491883,0.000008563716,0.0001261648],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8973289,"threshold_uncertainty_score":0.3921135,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7034817075","doi":"","title":"Wildlife ecology, conservation, and management","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Wildlife; Woodland caribou; Wildlife management; Endangered species; Population; Biodiversity; Wildlife conservation; Woodland; Threatened species","retraction":null,"screen_n_in":null,"score":{"opus":0.0136503058822768,"gpt":0.2348900130562354,"spread":0.2212397071739585,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001760904,0.00004135486,0.00004644689,0.00003706089,0.00008619976,0.00006260919,0.0002695192,0.000018347,0.0000140182],"category_scores_gemma":[0.00002400054,0.0000395564,0.00000795608,0.0000995167,0.00004116317,0.0001743929,0.0003341672,0.00002668553,0.00008046877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008751322,"about_ca_system_score_gemma":0.000005673985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003766142,"about_ca_topic_score_gemma":0.0002131333,"domain_scores_codex":[0.9995525,0.00002713206,0.00007981593,0.0001734318,0.00006419559,0.000102922],"domain_scores_gemma":[0.9995251,0.00006118009,0.00001761486,0.0003326838,0.00001913824,0.00004423743],"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":[1.452788e-7,0.00001083619,0.003861144,0.000003914483,0.000003788976,5.285606e-7,0.00003085391,0.000001191461,0.000002225776,0.8987103,0.09559629,0.001778761],"study_design_scores_gemma":[0.0002734741,0.00003005366,0.1694732,0.000003638276,0.000004427456,0.00001096014,0.0000134177,0.08881939,0.00001327328,0.02788077,0.7133694,0.0001079813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01535472,0.00001137859,0.9177698,0.04503623,0.0001992219,0.0001454935,0.000001845717,0.0002192611,0.02126208],"genre_scores_gemma":[0.5684901,0.00006893576,0.3831655,0.04642412,0.00006075986,0.00003180715,0.00001245258,0.000005981524,0.00174029],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8708295,"threshold_uncertainty_score":0.1613063,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2284032370","doi":"10.1109/cloudcom.2015.80","title":"Security Compliance Auditing of Identity and Access Management in the Cloud: Application to OpenStack","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Identity management; Audit; Computer security; Compliance (psychology); Identity (music); Computer science; Internet privacy; Business; Access control; Operating system; Accounting","retraction":null,"screen_n_in":null,"score":{"opus":0.1135641062566185,"gpt":0.3794820768811454,"spread":0.2659179706245269,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880814,0.00006019853,0.00008603958,0.00005711241,0.00005496862,0.0002271181,0.0015788,0.00001623149,0.000001850367],"category_scores_gemma":[0.00003449923,0.00005059607,0.00001134552,0.0006544258,0.00003379819,0.0008843927,0.001438987,0.00006387319,0.00002298605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003717566,"about_ca_system_score_gemma":0.00001172006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000629693,"about_ca_topic_score_gemma":0.001528367,"domain_scores_codex":[0.9991287,0.00004445861,0.0001802475,0.0002517977,0.0002608469,0.0001339497],"domain_scores_gemma":[0.9992516,0.00004019443,0.00006330148,0.0005155307,0.0000709595,0.0000583869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002573842,0.00008097817,0.003509792,0.00003045066,0.000004779008,0.000002081779,0.001882709,0.00008207841,0.00001451127,0.9851141,0.006126646,0.003149319],"study_design_scores_gemma":[0.001678003,0.0001111105,0.3766319,0.0001306581,0.00002369485,0.00003579794,0.003639586,0.253241,0.0004770912,0.3198781,0.0435035,0.0006496102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2045549,0.00003761043,0.77583,0.00407482,0.0001104996,0.0007915206,0.00001326649,0.00004633642,0.01454102],"genre_scores_gemma":[0.987142,0.000006516691,0.01216245,0.0006134838,0.00001982123,0.00003824748,0.00000350875,0.000001877297,0.00001206066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7825872,"threshold_uncertainty_score":0.2933829,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2053318176","doi":"10.1145/2087522.2087531","title":"OAuth and ABE based authorization in semi-trusted cloud computing","year":2011,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer security; Cloud computing; Encryption; Service provider; Access control; Trusted Computing; Cryptography; ElGamal encryption; Cloud computing security; Public-key cryptography; Service (business); Operating system; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.03626774013884623,"gpt":0.248721359106746,"spread":0.2124536189678997,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141132,0.00009088206,0.000101843,0.0001268756,0.00009347448,0.00006933545,0.0003649212,0.00005989604,0.00003458206],"category_scores_gemma":[0.00006787922,0.00009258536,0.00001620297,0.0005618327,0.00003597616,0.0002907051,0.0002646013,0.0001108558,0.00002159461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003360679,"about_ca_system_score_gemma":0.00004512367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003715901,"about_ca_topic_score_gemma":0.0002233896,"domain_scores_codex":[0.9990639,0.00007305192,0.0002015279,0.000318437,0.0001279666,0.0002150799],"domain_scores_gemma":[0.9994007,0.00007732389,0.00005040396,0.0003558114,0.0000381647,0.00007762563],"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":[0.000006530482,0.0002199743,0.02719638,0.00002939834,0.000007615577,0.00002059331,0.006525176,0.0001482454,0.0006729453,0.9555196,0.001477543,0.008176058],"study_design_scores_gemma":[0.0003667363,0.00003192661,0.06808709,0.00002813916,0.000002264838,0.000005699992,0.00006150676,0.9278914,0.0006885995,0.002409114,0.0002756806,0.0001518215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09310221,0.00001847906,0.9025865,0.0003165484,0.000214223,0.0001337826,0.000004433839,0.0002310924,0.003392769],"genre_scores_gemma":[0.9144625,0.000001122021,0.0852487,0.0002138473,0.00002710552,0.000001793637,0.00001107175,0.000004763728,0.00002909285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9531104,"threshold_uncertainty_score":0.3775522,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3081854684","doi":"10.1109/tii.2020.3021013","title":"LEVER: Secure Deduplicated Cloud Storage With Encrypted Two-Party Interactions in Cyber--Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Data deduplication; Computer science; Encryption; Cloud computing; Homomorphic encryption; Client-side encryption; Cloud storage; Upload; Computer security; Cryptography; Computer network; On-the-fly encryption; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.0606812881620232,"gpt":0.2743571910991093,"spread":0.2136759029370861,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002002524,0.000344993,0.0004397147,0.0002900508,0.0003090713,0.0003768571,0.0009249752,0.0001602333,0.00002609613],"category_scores_gemma":[0.0000331781,0.000321388,0.0001203325,0.002142478,0.0001088999,0.001753746,0.00001760666,0.001642877,0.0002595575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003105951,"about_ca_system_score_gemma":0.00033487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003956556,"about_ca_topic_score_gemma":0.0002354454,"domain_scores_codex":[0.997663,0.0001465738,0.0008314802,0.0003277381,0.0005465355,0.0004846336],"domain_scores_gemma":[0.9981387,0.000307345,0.0002786454,0.0007698248,0.0001423948,0.0003630646],"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":[0.0004478402,0.001611127,0.00006478347,0.0001078937,0.0003720459,0.00005564884,0.03893499,0.9151853,0.0005243011,0.01584686,0.01768066,0.009168573],"study_design_scores_gemma":[0.003115391,0.0004136773,0.00001295691,0.0001379179,0.00006274705,0.0000639596,0.00148567,0.9779376,0.001903251,0.00004739491,0.01429009,0.0005293491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1241292,0.000004230392,0.8707481,0.001527911,0.001385461,0.0008543055,0.0003400946,0.0004475689,0.0005631417],"genre_scores_gemma":[0.9967116,0.000004311574,0.002354881,0.0003997417,0.0003156345,0.0001188487,0.00003674639,0.00002211248,0.00003613487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8725824,"threshold_uncertainty_score":0.9999238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2587148024","doi":"10.1145/3010089.3016029","title":"Towards decentralized data storage in general cloud platform for meta-products","year":2016,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cloud computing; Computer science; Cloud storage; Distributed computing; Database; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.1473281400035884,"gpt":0.3255727116623733,"spread":0.1782445716587849,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008093806,0.0001687423,0.0002953747,0.0001011358,0.00008031729,0.0001157276,0.002925434,0.00006202186,0.0001366735],"category_scores_gemma":[0.0005102694,0.0001068337,0.00007110134,0.0004011072,0.00005008341,0.00156118,0.001484399,0.00006573971,0.00005960163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030988,"about_ca_system_score_gemma":0.0001996869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002861226,"about_ca_topic_score_gemma":0.0009278621,"domain_scores_codex":[0.9980627,0.00003937738,0.0003253611,0.0007963334,0.0002666903,0.0005095306],"domain_scores_gemma":[0.9968692,0.0001397279,0.00006672105,0.00272396,0.00008256493,0.0001177904],"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":[0.00002751394,0.0002025349,0.00006682845,0.00002110785,0.0002313904,0.00001302502,0.0002755417,0.00001522949,0.002474774,0.7035436,0.2666577,0.02647076],"study_design_scores_gemma":[0.002311504,0.00006504504,0.0005700017,0.00001143373,0.0001156074,0.00001692613,0.00001072347,0.05464866,0.006136068,0.01769619,0.9179345,0.0004833803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0200019,0.0003901184,0.9604029,0.01585128,0.001155203,0.0006333566,0.0009740573,0.0002410898,0.0003500899],"genre_scores_gemma":[0.1395565,0.0001342323,0.8558109,0.001358292,0.0005002341,0.0002044035,0.0003693268,0.00003165116,0.002034451],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6858474,"threshold_uncertainty_score":0.5436233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3094827892","doi":"10.1145/3411495.3421358","title":"bpfbox","year":2020,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; System call; Simple (philosophy); Linux kernel; Operating system; Process (computing); Function (biology); Code (set theory); Cloud computing; Kernel (algebra); Source lines of code; Key (lock); Distributed computing; Programming language; Software; Set (abstract data type)","retraction":null,"screen_n_in":null,"score":{"opus":0.03604151739707908,"gpt":0.2479727804531403,"spread":0.2119312630560612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002368639,0.00002815996,0.00003161868,0.00000792595,0.00003299885,0.00005232268,0.0005298301,0.00001036536,0.00009752224],"category_scores_gemma":[0.00003669495,0.00002601847,0.00001629117,0.0002080906,0.00000889404,0.0001951788,0.0002802234,0.00003820437,0.001127713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004468985,"about_ca_system_score_gemma":0.0000156012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001197657,"about_ca_topic_score_gemma":0.000005518313,"domain_scores_codex":[0.99965,0.000007609246,0.00004873387,0.0001343988,0.00007681716,0.00008246095],"domain_scores_gemma":[0.9996556,0.00001557008,0.000007259173,0.0002262606,0.00001167561,0.00008363838],"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":[1.934221e-7,0.000008281906,0.00007499183,0.000001272304,0.000001719722,0.000004040242,0.0004317719,0.000003855695,0.0002921929,0.8792176,0.1170159,0.002948231],"study_design_scores_gemma":[0.0001746939,0.00004874634,0.001018086,0.000001426159,0.000001572077,0.00000785967,0.00002629546,0.2629628,0.001605089,0.005870638,0.7281247,0.0001580549],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007894888,0.00001772269,0.9321848,0.04469406,0.00006929871,0.00003075358,0.000002416032,0.0003335841,0.02187793],"genre_scores_gemma":[0.8329391,0.000002578117,0.1517977,0.01497533,0.00009166922,0.000002380132,0.000002932151,0.000002679907,0.0001855401],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8733469,"threshold_uncertainty_score":0.99965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4396685294","doi":"10.9734/jerr/2024/v26i61162","title":"Securing the Digital Frontier: Strategies for Cloud Computing Security, Database Protection, and Comprehensive Penetration Testing","year":2024,"lang":"en","type":"article","venue":"Journal of Engineering Research and Reports","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Cloud computing; Computer science; Frontier; Computer security; Database; Penetration (warfare); Database security; Operating system; Engineering; Operations research; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.05720700961115976,"gpt":0.3162940383488432,"spread":0.2590870287376834,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001343559,0.00009647243,0.0001300042,0.0002234298,0.0003100395,0.001798771,0.0001782659,0.00003650204,2.862022e-7],"category_scores_gemma":[0.0006616982,0.00007060595,0.00003483857,0.0003918344,0.00007468831,0.001090982,0.0002923502,0.0005286648,1.677433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004223556,"about_ca_system_score_gemma":0.0001918145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002249475,"about_ca_topic_score_gemma":0.000004086711,"domain_scores_codex":[0.9987417,0.00002742153,0.0003721396,0.000218765,0.0003842029,0.0002557958],"domain_scores_gemma":[0.9984952,0.0006443723,0.00009931876,0.0002014326,0.0004500363,0.0001096896],"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":[0.0002141056,0.001018752,0.006834895,0.01705408,0.002367019,0.01621048,0.06132367,0.09217303,0.1531964,0.3894578,0.05659743,0.2035524],"study_design_scores_gemma":[0.0002152326,0.0004746411,0.001629514,0.0009572463,0.00001472205,0.01104017,0.00091482,0.9487112,0.0004678584,0.02186354,0.01349953,0.0002115274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3918189,0.005600961,0.600521,0.0007411756,0.0008128059,0.0003813634,0.00001233849,0.00007068425,0.0000408509],"genre_scores_gemma":[0.9906424,0.00004673225,0.008804967,0.000003847058,0.0004783113,0.000005245327,0.000003240472,0.000009406466,0.000005823956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8565382,"threshold_uncertainty_score":0.9992375,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1481895439","doi":"10.1109/sp.2015.59","title":"Caelus: Verifying the Consistency of Cloud Services with Battery-Powered Devices","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Consistency (knowledge bases); Computer network; Computer security; Consistency model; Causal consistency; Service (business); Key (lock); Cloud storage; Strong consistency; Overhead (engineering); Data consistency; Database; Operating system; Sequential consistency","retraction":null,"screen_n_in":null,"score":{"opus":0.03101166503081044,"gpt":0.2524412338153649,"spread":0.2214295687845545,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003359593,0.0001165428,0.0001544902,0.00004421728,0.0001285158,0.0001338031,0.00137001,0.00003603856,0.00001922564],"category_scores_gemma":[0.00002256097,0.00006987407,0.00003255373,0.0004184468,0.0001265217,0.0004951479,0.0004824999,0.0000976696,0.00005390721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002511323,"about_ca_system_score_gemma":0.00015681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238168,"about_ca_topic_score_gemma":0.003239416,"domain_scores_codex":[0.998875,0.00007486658,0.0002194924,0.0002612409,0.0003529843,0.0002163783],"domain_scores_gemma":[0.9984571,0.0001379736,0.0001243088,0.0009756343,0.0002053385,0.00009968882],"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":[0.000104213,0.0007327622,0.08733097,0.0005443824,0.0004854621,0.0000854478,0.06412603,0.0005596968,0.0008651068,0.7976328,0.04115814,0.006374969],"study_design_scores_gemma":[0.009329157,0.002501672,0.08467264,0.001338204,0.0004355373,0.001179599,0.0545015,0.277121,0.009252205,0.02864777,0.5271435,0.003877153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.713118,0.002432291,0.2126145,0.01904728,0.001878779,0.0009139915,0.00009126132,0.0007135326,0.04919039],"genre_scores_gemma":[0.9822994,0.000005621248,0.01643233,0.001125062,0.00004845898,0.000007263737,0.000006368692,0.000006054368,0.00006936132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.768985,"threshold_uncertainty_score":0.2849382,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3034680867","doi":"10.1002/ett.3990","title":"Analysis on homomorphic technique for data security in fog computing","year":2020,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Cloud computing; Client-side encryption; Homomorphic encryption; Encryption; Computer security; Server; Cryptography; Computer network; On-the-fly encryption; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.06164988954158009,"gpt":0.3202104429684451,"spread":0.258560553426865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005963611,0.0002591411,0.0003941887,0.001164667,0.0007373475,0.0001288991,0.007333862,0.0002058916,0.00000926028],"category_scores_gemma":[0.0003925975,0.0002935341,0.0001653873,0.005966637,0.0001889057,0.0005047296,0.0004269723,0.0009855096,0.0000267827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001334717,"about_ca_system_score_gemma":0.00007878285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000121366,"about_ca_topic_score_gemma":0.0005963423,"domain_scores_codex":[0.9977771,0.0001386048,0.0005613611,0.0008711852,0.0002277846,0.0004239814],"domain_scores_gemma":[0.9931256,0.0007678628,0.0001733672,0.0057753,0.00009884372,0.00005903773],"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":[0.0001535901,0.006759176,0.001927767,0.0003172097,0.002737755,0.00002394637,0.01103692,0.1575491,0.00380373,0.3810876,0.00688594,0.4277172],"study_design_scores_gemma":[0.0004307086,0.000194332,0.0002022353,0.00005563824,0.0001444741,0.000004324436,0.0007809552,0.9788846,0.003944114,0.00751856,0.007373977,0.0004660462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009338313,0.0001505687,0.9311931,0.06310415,0.00004276161,0.0008420951,0.0002294616,0.003385583,0.0001184241],"genre_scores_gemma":[0.7623551,0.0002260429,0.2367845,0.0002323417,0.000005539873,0.0002626277,0.0001113743,0.0000198283,0.00000255741],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8213355,"threshold_uncertainty_score":0.9999517,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3184255911","doi":"10.3390/computers10070089","title":"Distributed Interoperable Records: The Key to Better Supply Chain Management","year":2021,"lang":"en","type":"article","venue":"Computers","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Key (lock); Supply chain; Computer science; Data exchange; Distributed ledger; Information exchange; Process management; Supply chain management; State (computer science); Electronic data interchange; Knowledge management; Computer security; Database; World Wide Web; Business; Telecommunications; Blockchain","retraction":null,"screen_n_in":null,"score":{"opus":0.0156107585168926,"gpt":0.2320608475817694,"spread":0.2164500890648768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002222514,0.0001501358,0.0001423126,0.00006642057,0.0002411632,0.0004649498,0.001703271,0.00003031514,0.00004396501],"category_scores_gemma":[0.00002513354,0.0001244771,0.00007935546,0.0007794669,0.00003875095,0.0002220389,0.002236556,0.0001626009,0.000353698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001087692,"about_ca_system_score_gemma":0.00003073832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003633968,"about_ca_topic_score_gemma":0.00007629606,"domain_scores_codex":[0.9985049,0.0001276462,0.0002221423,0.0005208043,0.000240563,0.0003839602],"domain_scores_gemma":[0.9982728,0.00009887321,0.00003589808,0.001375733,0.00008280622,0.0001338283],"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":[0.000005221466,0.0001538723,0.0004178977,0.00002630088,0.0001227306,0.0003002608,0.002674019,0.001015069,0.0001140585,0.06180206,0.8295452,0.1038233],"study_design_scores_gemma":[0.0003864696,0.00005581004,0.008075519,0.0001020324,0.00001445406,0.0000644122,0.0001486621,0.07647646,0.0004303157,0.001408414,0.912499,0.0003384321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01125308,0.00007195449,0.9313722,0.05437039,0.001698504,0.0002397315,0.00007563142,0.0001835393,0.0007350052],"genre_scores_gemma":[0.4692895,0.00006253496,0.480618,0.04710535,0.0005010508,0.0001333228,0.0003300088,0.00004069912,0.001919587],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4580364,"threshold_uncertainty_score":0.507603,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2613035487","doi":"10.14722/ndss.2017.23365","title":"TenantGuard: Scalable Runtime Verification of Cloud-Wide VM-Level Network Isolation","year":2017,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalability; Cloud computing; Isolation (microbiology); Runtime verification; Operating system; Distributed computing; Formal verification; Programming language","retraction":null,"screen_n_in":null,"score":{"opus":0.03693625370883548,"gpt":0.2687105936528483,"spread":0.2317743399440128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005697574,0.000110879,0.0001649753,0.00004873539,0.0006586436,0.0002665107,0.001577402,0.00007918206,0.00004997256],"category_scores_gemma":[0.0003211778,0.0001030516,0.00006231759,0.0001838878,0.000109791,0.001067247,0.0005185739,0.00009715948,0.0002155844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004639087,"about_ca_system_score_gemma":0.00009102484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005283053,"about_ca_topic_score_gemma":0.0001400287,"domain_scores_codex":[0.9987031,0.00004065378,0.0003056652,0.0003480484,0.0002593357,0.0003431661],"domain_scores_gemma":[0.9972164,0.00009822291,0.0003036254,0.002130417,0.0001640681,0.00008726378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001763696,0.0002465855,0.03888308,0.00003395678,0.00005582542,0.000003113822,0.0005627769,0.0009623657,0.002756453,0.6685614,0.2765901,0.01132674],"study_design_scores_gemma":[0.0006822968,0.00008730424,0.4650028,0.00007597764,0.000026101,0.000009008509,0.00002235353,0.4591974,0.003010557,0.02434917,0.04710227,0.0004347645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01504542,0.00006353097,0.9713629,0.003204932,0.0008771994,0.0002287907,0.00002615185,0.0001437582,0.009047245],"genre_scores_gemma":[0.8675463,0.00002016692,0.1308676,0.0001443619,0.0001845949,0.000009328522,0.00002681418,0.000008078267,0.001192761],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8525009,"threshold_uncertainty_score":0.5065821,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911408682","doi":"","title":"Proceedings of the 2009 ACM workshop on Cloud computing security","year":2009,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cloud computing security; Government (linguistics); Software deployment; Officer; Adversarial system; Cryptography; World Wide Web; Internet privacy; Political science; Law; Software engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.02203409759465542,"gpt":0.2691945715246598,"spread":0.2471604739300043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003268667,0.0001276561,0.0001469987,0.0000556218,0.000199967,0.0001187743,0.002665307,0.00006750823,0.00001119238],"category_scores_gemma":[0.0003759821,0.0000917619,0.0000921918,0.0008462911,0.00005983111,0.0002558109,0.0007945008,0.0002709905,0.00002669838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004055805,"about_ca_system_score_gemma":0.00003518962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001614043,"about_ca_topic_score_gemma":0.0000120399,"domain_scores_codex":[0.9987294,0.00001633139,0.0002523701,0.0003406286,0.0003704674,0.0002907796],"domain_scores_gemma":[0.9987205,0.0001329467,0.0001282179,0.0008208115,0.0001272896,0.00007020865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000041546,0.0002363129,0.0004021712,0.000007572382,0.000007228057,7.186889e-7,0.001967065,0.00003377579,0.0005179117,0.8903302,0.09872629,0.007766632],"study_design_scores_gemma":[0.002081045,0.0006746321,0.1216329,0.0008755073,0.00005113719,0.000119824,0.001137648,0.2535994,0.02978055,0.5300443,0.05832322,0.001679914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.87582,0.0001090013,0.02088686,0.04382404,0.001147061,0.0007104042,0.00002080135,0.0006634721,0.05681838],"genre_scores_gemma":[0.9860796,0.000004330385,0.01178121,0.001860027,0.0001320581,7.8791e-7,8.704408e-7,0.000003658583,0.0001374089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3602859,"threshold_uncertainty_score":0.4952848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2130385839","doi":"10.1109/ic2e.2014.17","title":"Cloud Computing: A Risk Assessment Model","year":2014,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Cloud computing security; Pooling; Elasticity (physics); Risk analysis (engineering); Computer security; Utility computing; Cloud testing; Risk management; Risk assessment; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.02104996427824066,"gpt":0.2869450751471697,"spread":0.265895110868929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005583838,0.0001030867,0.0001180883,0.00005219708,0.0001949991,0.0001882843,0.001000912,0.00004048511,0.00001433153],"category_scores_gemma":[0.00007289989,0.00009532541,0.00005564155,0.000224127,0.00003244622,0.000257953,0.0007165838,0.0001786112,0.0001813883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004816295,"about_ca_system_score_gemma":0.00006423675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008640872,"about_ca_topic_score_gemma":0.00005692656,"domain_scores_codex":[0.9988354,0.00009548461,0.0001827037,0.00036134,0.0002564718,0.0002685611],"domain_scores_gemma":[0.9986464,0.0001367926,0.0000711883,0.0009662595,0.00006288326,0.0001164303],"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":[3.399159e-7,0.00006360118,0.0003886296,0.00000207507,0.000006116181,4.215925e-7,0.0001833205,0.008381783,0.00002580591,0.9670358,0.01956944,0.004342633],"study_design_scores_gemma":[0.000172533,0.00003490783,0.0008468497,0.000003163523,0.000004062483,0.00000380113,0.000005582388,0.9543277,0.00003781129,0.03723044,0.007207058,0.0001260858],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008253239,0.00000567017,0.9656492,0.001500363,0.0002737672,0.00008493784,0.000007336203,0.0003917681,0.0238337],"genre_scores_gemma":[0.6170706,0.000002236259,0.3821374,0.0005523407,0.00007283285,0.000001338225,0.000002941334,0.000003963316,0.0001564467],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9459459,"threshold_uncertainty_score":0.3887257,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001672163","doi":"10.5539/cis.v3n4p175","title":"Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review","year":2010,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Cloud computing security; Correctness; Sherwood Applied Business Security Architecture; Architecture; Enterprise information security architecture; Computer security; Distributed System Security Architecture; Computer security model; Distributed computing; Security information and event management; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01800682610961279,"gpt":0.2777824738761886,"spread":0.2597756477665758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001660489,0.00016074,0.0002202707,0.0003006575,0.0002977256,0.000544347,0.00288216,0.00007315434,0.00000324672],"category_scores_gemma":[0.0003147322,0.0001319978,0.00003932481,0.001631963,0.0002838475,0.00460345,0.001326842,0.0004820089,0.00002339785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714834,"about_ca_system_score_gemma":0.0001711183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005943823,"about_ca_topic_score_gemma":0.000002776406,"domain_scores_codex":[0.9981299,0.00006108278,0.0004630037,0.000396842,0.000693335,0.00025585],"domain_scores_gemma":[0.996797,0.0001558945,0.0002537768,0.002312635,0.0003000945,0.0001806318],"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":[0.00001805721,0.0003777859,0.0003344185,0.01024451,0.00002308437,0.000021661,0.01338654,0.002781371,0.0002623477,0.8434834,0.01590754,0.1131592],"study_design_scores_gemma":[0.0001698245,0.00004793932,0.001260168,0.002132762,0.000005750997,0.00005349595,0.000007695028,0.9829661,0.00005807506,0.0001661305,0.01297035,0.0001616529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002396185,0.0004555227,0.9938045,0.0009003943,0.001608275,0.0003783754,0.0001567699,0.0001199809,0.0001800077],"genre_scores_gemma":[0.7530779,0.0004313516,0.2423246,0.003885895,0.0001414339,0.000008319897,0.0001253774,0.000004185518,9.064644e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9801848,"threshold_uncertainty_score":0.5382715,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4317390695","doi":"10.1186/s13677-022-00387-2","title":"Deep learning approach to security enforcement in cloud workflow orchestration","year":2023,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Cloud computing; Computer science; Workflow; Orchestration; Cloud computing security; Anomaly detection; Computer security; Distributed computing; Data mining; Database; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02015942445982682,"gpt":0.2833356406579219,"spread":0.2631762161980951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330189,0.0001499951,0.0003055217,0.0003053668,0.0003087522,0.0002509639,0.00061648,0.00006032386,4.527185e-7],"category_scores_gemma":[0.00007862502,0.0001466268,0.00006020526,0.001617251,0.00003456562,0.0003482127,0.0002489316,0.0003733278,0.00001291572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077023,"about_ca_system_score_gemma":0.00005293334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003719553,"about_ca_topic_score_gemma":0.0000144892,"domain_scores_codex":[0.998061,0.000140987,0.0007828968,0.0003234339,0.0003764967,0.0003151654],"domain_scores_gemma":[0.998606,0.00025652,0.0004741382,0.0003198681,0.0001695706,0.0001738864],"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":[0.000005356828,0.0001125682,0.000973213,0.0001070242,0.00001727165,0.000004073693,0.003387403,0.7957602,0.00006327467,0.1767935,0.0003012426,0.02247481],"study_design_scores_gemma":[0.0003794034,0.0001050682,0.0007391503,0.0001755706,0.000009279213,0.0001197191,0.001230631,0.9002348,0.00001572594,0.006039816,0.09072784,0.0002230498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03407952,0.001269425,0.9623085,0.0002884031,0.0004921629,0.0004852924,0.000002435922,0.0001074726,0.0009668409],"genre_scores_gemma":[0.9807692,0.0001816388,0.01812396,0.00003671341,0.0008001799,0.00004346362,0.000008922771,0.000009992315,0.00002589414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9466897,"threshold_uncertainty_score":0.5979267,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392151820","doi":"10.1109/jiot.2024.3361801","title":"TrustNextGen: Security Aspects of Trustworthy Next-Generation Industrial Internet of Things","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Science and Engineering Research Board","keywords":"Computer science; Computer security; Internet of Things; Trustworthiness; Industrial Internet; The Internet; Internet privacy; Computer network; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.05814901797491358,"gpt":0.2776305381618814,"spread":0.2194815201869678,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001628274,0.0002823594,0.0005616568,0.0005582669,0.00005382972,0.0004811429,0.002056109,0.0002630304,0.0001836159],"category_scores_gemma":[0.0003394253,0.0002653826,0.00040778,0.0006337169,0.0002079354,0.00326859,0.000451284,0.001247841,0.00001688655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811919,"about_ca_system_score_gemma":0.0003859983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006546633,"about_ca_topic_score_gemma":0.00003322035,"domain_scores_codex":[0.9966323,0.0002251535,0.00140189,0.0004598172,0.0009146796,0.0003661471],"domain_scores_gemma":[0.9977866,0.0002180114,0.000872041,0.0005572144,0.0003811637,0.0001849667],"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":[0.0003283084,0.001286225,0.0007982736,0.0006949815,0.001764218,0.0004767215,0.141653,0.0005363565,0.1550527,0.407611,0.2113761,0.07842215],"study_design_scores_gemma":[0.001128938,0.0009343472,0.00005002631,0.001545746,0.0001429173,0.001151593,0.0002217204,0.7112174,0.2512939,0.02482466,0.007007872,0.0004809066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7314216,0.001408194,0.2538939,0.001233691,0.009124228,0.0002763309,0.00003103026,0.0001348916,0.002476227],"genre_scores_gemma":[0.9933763,0.00006815562,0.005518128,0.0001497137,0.0007022688,0.000002921643,0.00001017968,0.00002363454,0.0001486949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.710681,"threshold_uncertainty_score":0.9999799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2109663023","doi":"10.5539/nct.v1n2p66","title":"A Survey of the State of Cloud Security","year":2012,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"European Union Agency for Network and Information Security","keywords":"Cloud computing; Computer security; Cloud computing security; Computer science; Confidentiality; Service provider; Scalability; Multitenancy; Cryptography; Key (lock); Service (business); Internet privacy; Software as a service; Business; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.02799655995209601,"gpt":0.2598262237449739,"spread":0.2318296637928779,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007731329,0.00005835492,0.0001176517,0.00002771235,0.0001301902,0.0000135083,0.001774393,0.00005432533,6.019396e-7],"category_scores_gemma":[0.0002161179,0.00004395828,0.00001957923,0.0006560656,0.0003793893,0.0001687032,0.002262252,0.0001694486,7.977093e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009120718,"about_ca_system_score_gemma":0.00001812218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002912634,"about_ca_topic_score_gemma":0.0004050611,"domain_scores_codex":[0.9992682,0.0002016533,0.0002002331,0.00007820479,0.0001013669,0.0001503272],"domain_scores_gemma":[0.9975532,0.0003006675,0.0001947511,0.001849258,0.00008975059,0.00001235376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000008902482,0.0002782169,0.2453354,0.00004108503,0.00005495955,3.99349e-8,0.003646885,0.0001176406,0.0001094054,0.5896397,0.01054331,0.1502245],"study_design_scores_gemma":[0.0002632648,0.00006358595,0.7456228,0.0001059045,0.00001403662,0.000005405014,0.0003166485,0.01196335,0.003659535,0.2280598,0.009693532,0.0002322266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9308819,0.04069084,0.02328328,0.003145968,0.0003008825,0.0003872744,0.00006873918,0.0005749422,0.0006662306],"genre_scores_gemma":[0.9936131,0.00163474,0.004710708,0.0000181209,0.000003669808,0.000007781065,0.000004741913,0.000002172967,0.000004921309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5002874,"threshold_uncertainty_score":0.3297294,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2210562671","doi":"10.1016/j.jisa.2015.08.001","title":"An evaluation of recent secure deduplication proposals","year":2015,"lang":"en","type":"article","venue":"Journal of Information Security and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":21,"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":"Data deduplication; Computer science; Computer security; Cloud computing; Upload; Software deployment; Cloud storage; Internet privacy; Encryption; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.04817805869765356,"gpt":0.3314614944077078,"spread":0.2832834357100543,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002600483,0.00008650798,0.0001536266,0.0002367913,0.0001027359,0.0001374291,0.00052717,0.00007528896,0.00001034866],"category_scores_gemma":[0.0002238463,0.00008030329,0.00003726991,0.0005923989,0.00005970283,0.004147875,0.00007328669,0.0001560258,0.00001167763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032083,"about_ca_system_score_gemma":0.000523034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001137585,"about_ca_topic_score_gemma":0.00000956147,"domain_scores_codex":[0.9981437,0.0001233794,0.0007537808,0.00009359183,0.0007814862,0.0001041101],"domain_scores_gemma":[0.9951145,0.00004360549,0.0008637808,0.0004478942,0.003328607,0.0002015907],"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":[0.00002684099,0.0005316976,0.0002955833,0.00006431302,0.00004511411,1.657671e-7,0.01988,0.001343527,0.0004094186,0.7375602,0.004511416,0.2353317],"study_design_scores_gemma":[0.003054984,0.0005929811,0.003157495,0.00006524666,0.0001903685,0.0003429255,0.005158646,0.3639237,0.004991603,0.2993599,0.3187164,0.0004456874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06835728,0.0004671195,0.9241717,0.003772253,0.0001501933,0.000962512,0.00006786563,0.00005149423,0.001999622],"genre_scores_gemma":[0.9769719,0.0001870346,0.02240853,0.0002104494,0.00009422816,0.00005537601,0.00006889897,0.000003085665,5.624291e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9086146,"threshold_uncertainty_score":0.3274673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2077806324","doi":"10.1109/nbis.2012.142","title":"Multitenancy - Security Risks and Countermeasures","year":2012,"lang":"en","type":"article","venue":"","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University","funders":"","keywords":"Cloud computing; Computer science; Computer security; Cloud computing security; Software; Risk analysis (engineering); Business; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.05271947122239953,"gpt":0.298430309314649,"spread":0.2457108380922495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002564025,0.00007920636,0.00007723094,0.00003861395,0.0001196276,0.00009628962,0.0003325056,0.0000395233,0.00002754844],"category_scores_gemma":[0.00006649811,0.00006760527,0.00002177901,0.000126667,0.00005230309,0.0008887411,0.0003411064,0.00009064635,0.0001035112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002051883,"about_ca_system_score_gemma":0.00001396108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000323955,"about_ca_topic_score_gemma":0.0001273306,"domain_scores_codex":[0.9992493,0.00003321036,0.000100787,0.0001734208,0.0001570123,0.0002862998],"domain_scores_gemma":[0.9992944,0.00005554597,0.00002639145,0.0004369028,0.00003656253,0.0001501789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000002225592,0.0002843044,0.1059562,0.00002180562,0.00002127195,0.000003597754,0.005157926,8.166326e-7,0.0002910856,0.8511426,0.02752566,0.009592497],"study_design_scores_gemma":[0.001115967,0.00007230457,0.6104065,0.00003919818,0.00002400614,0.0002127428,0.0001787204,0.05778799,0.001604439,0.02279489,0.3048851,0.0008781843],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5376924,0.003176508,0.4344517,0.002378447,0.001457315,0.0003967325,0.00007203943,0.0008611614,0.01951365],"genre_scores_gemma":[0.9861063,0.00003271208,0.0133413,0.000365872,0.0000770354,0.000005751729,0.000002716199,0.000003314059,0.00006495159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8283477,"threshold_uncertainty_score":0.2756863,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2552523179","doi":"10.1186/s13677-016-0068-6","title":"MDA: message digest-based authentication for mobile cloud computing","year":2016,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Computer science; Cloud computing; Mobile cloud computing; Server; Cloud computing security; Mobile computing; Computer security; Authentication (law); Mobile device; Mutual authentication; Computer network; Cloud testing; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01514728725315579,"gpt":0.2862335585503714,"spread":0.2710862712972156,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001090625,0.0002029355,0.0004043707,0.0001570478,0.0005574088,0.0002382972,0.0008863295,0.00007627626,9.946817e-7],"category_scores_gemma":[0.0001054838,0.0001531907,0.0001450512,0.000395237,0.0001171029,0.0004191941,0.0001676842,0.0001486372,0.000006139649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131504,"about_ca_system_score_gemma":0.0001344721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009189656,"about_ca_topic_score_gemma":0.000002834488,"domain_scores_codex":[0.9978166,0.0001084578,0.0009821792,0.0003981151,0.0003454346,0.0003491676],"domain_scores_gemma":[0.9961332,0.001323127,0.001229309,0.0005873268,0.0005401571,0.0001868624],"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":[0.0000416571,0.0007300645,0.002109755,0.0006552259,0.0001687721,0.000006093578,0.00133164,0.02233549,0.008727632,0.7170687,0.004105697,0.2427192],"study_design_scores_gemma":[0.003097859,0.0005877761,0.0009768618,0.001370317,0.0001209056,0.0003454471,0.0005157811,0.3279429,0.001284883,0.01189193,0.6510556,0.000809712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0200411,0.003619989,0.9733946,0.0009147276,0.001007783,0.0007933436,0.00004680846,0.0001057883,0.00007580505],"genre_scores_gemma":[0.9599442,0.00008753032,0.03836611,0.00006204599,0.001415547,0.00006212563,0.000005406309,0.00001834514,0.00003863379],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9399031,"threshold_uncertainty_score":0.6246936,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012654131","doi":"10.1016/j.procs.2013.09.005","title":"Personalized Security Approaches in E-banking Employing Flask Architecture over Cloud Environment","year":2013,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Cloud computing; Cloud computing security; Computer security; Security controls; Computer security model; Enterprise information security architecture; Architecture; Access control; Distributed System Security Architecture; Payment; Security service; Security information and event management; Control (management); Information security; World Wide Web; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02557702156643895,"gpt":0.2274073820448885,"spread":0.2018303604784495,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009424026,0.0003225447,0.0002913336,0.0004358019,0.0004415031,0.0009144995,0.003283556,0.00008771044,0.0000488383],"category_scores_gemma":[0.00007512416,0.0003088433,0.0000898106,0.001582346,0.0007140354,0.001956423,0.002350467,0.0004947631,0.0001713595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002901825,"about_ca_system_score_gemma":0.0002673505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219075,"about_ca_topic_score_gemma":0.00002040939,"domain_scores_codex":[0.9960291,0.00008926641,0.0004145781,0.001401035,0.001070949,0.0009950034],"domain_scores_gemma":[0.9982802,0.0001558935,0.0001446603,0.001056311,0.00006383962,0.0002991307],"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":[0.00002973601,0.002259329,0.08962013,0.0004975886,0.00008234115,0.0001256934,0.1791315,0.01415248,0.006578135,0.4258216,0.00677104,0.2749305],"study_design_scores_gemma":[0.0007391012,0.00008787874,0.03482308,0.00008820091,0.000005405346,0.00009451982,0.00006165256,0.9148779,0.0006190334,0.04523281,0.002621184,0.0007492524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3132247,0.0001640408,0.683657,0.001330536,0.0005416284,0.0006074134,0.000004401867,0.0002205002,0.0002497809],"genre_scores_gemma":[0.822316,0.00001066505,0.176757,0.0005286444,0.0002489208,0.0001101239,0.000004014554,0.00001311247,0.00001153899],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9007254,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}