{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":16,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":16,"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":"f9ef7c46780f","filters":{"venue":"Integrated Network Management"}},"results":[{"id":"W1874038939","doi":"","title":"SAVI testbed: Control and management of converged virtual ICT resources","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":76,"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":"Testbed; The Internet; Computer science; Architecture; Control (management); Information and Communications Technology; World Wide Web; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.005689712070538352,"gpt":0.1892931597981492,"spread":0.1836034477276109,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004541908,0.0003395735,0.0004068405,0.0001517237,0.0001511239,0.000245882,0.0009388567,0.00009305163,0.0001123095],"category_scores_gemma":[0.00000697931,0.0002792814,0.00009619958,0.0008951302,0.0001249622,0.0003001433,0.000528419,0.0001998735,0.0001244359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004788674,"about_ca_system_score_gemma":0.000008508829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001390314,"about_ca_topic_score_gemma":0.000009687148,"domain_scores_codex":[0.9976439,0.0001354715,0.0005576424,0.0006296505,0.0004147419,0.0006185638],"domain_scores_gemma":[0.9985405,0.0001794384,0.0002258979,0.0007671859,0.0001249777,0.0001619886],"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":[0.00009703574,0.0002474633,0.006090702,0.0001977457,0.001334265,0.0001679111,0.0003516749,0.01128552,0.00002239515,0.2165958,0.2007222,0.5628873],"study_design_scores_gemma":[0.009621968,0.001521459,0.1363256,0.002140603,0.0005686412,0.0000316352,0.001512591,0.4664165,0.00008730454,0.02804475,0.351483,0.002246038],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06853744,0.003792502,0.888015,0.002190784,0.00195324,0.003406488,0.000009384467,0.001115664,0.03097943],"genre_scores_gemma":[0.966832,0.001212106,0.0276878,0.001288363,0.0001290595,0.0002469037,0.000009927727,0.00003193962,0.002561857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8982946,"threshold_uncertainty_score":0.9999659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1600166970","doi":"","title":"Resource contention detection and management for consolidated workloads","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Server; Virtualization; Cloud computing; Distributed computing; Resource management (computing); Overhead (engineering); Memory management; Workload; Operating system; Shared memory; Shared resource; Computer network; Overlay","retraction":null,"screen_n_in":null,"score":{"opus":0.0105019807949086,"gpt":0.2103109091449772,"spread":0.1998089283500686,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005577558,0.0003202442,0.0002592847,0.0002511341,0.0004006423,0.0005862965,0.0006756856,0.00008618821,0.00001753905],"category_scores_gemma":[0.000006891438,0.0002818799,0.0001102533,0.000826194,0.00006726445,0.00007816302,0.0006818409,0.0001619204,0.00007950146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056459,"about_ca_system_score_gemma":0.000003760076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005005685,"about_ca_topic_score_gemma":0.00001246748,"domain_scores_codex":[0.9976935,0.0001197699,0.0004543663,0.0007808763,0.0002897361,0.0006617435],"domain_scores_gemma":[0.9988188,0.00008414748,0.0001768658,0.0006645507,0.0001166283,0.0001390357],"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":[0.00004279982,0.00009461026,0.00006823576,0.0001602029,0.0004599994,0.00002315905,0.0001057418,0.008611551,0.00003064523,0.05747942,0.0474388,0.8854848],"study_design_scores_gemma":[0.001762643,0.000224473,0.003207348,0.0003885489,0.000129431,0.00001217726,0.0006322548,0.5603608,0.00009466138,0.008792307,0.4238148,0.0005805645],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0245996,0.0004570171,0.9394953,0.001700514,0.0007890211,0.003320431,0.000001197509,0.0009195045,0.02871748],"genre_scores_gemma":[0.9318719,0.0001754716,0.050809,0.001701813,0.0002384661,0.001115933,0.00002036202,0.00004804252,0.01401901],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9072723,"threshold_uncertainty_score":0.9999633,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1883841589","doi":"","title":"The right tool for the job: Switching data centre management strategies at runtime","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Cloud Computing and Resource Management","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":"Western University","funders":"","keywords":"Computer science; Variable (mathematics); Service (business); Distributed computing; Resource management (computing); Power consumption; Virtual machine; Set (abstract data type); Data center; Power (physics); Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01181612179825005,"gpt":0.2246256169360831,"spread":0.2128094951378331,"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":[0.001620694,0.0004457426,0.0002586078,0.00008413738,0.002319753,0.002554496,0.006665792,0.00006191663,0.00006346413],"category_scores_gemma":[0.00001259751,0.0002339701,0.0001609073,0.0007834553,0.0000932323,0.0001812716,0.006256133,0.0002819469,0.0003764531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001768312,"about_ca_system_score_gemma":0.00001741853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174759,"about_ca_topic_score_gemma":0.0001448836,"domain_scores_codex":[0.9964117,0.0001765089,0.0006185324,0.001032764,0.0006364142,0.001124042],"domain_scores_gemma":[0.9953476,0.0006093479,0.0002541159,0.003584975,0.0001141309,0.00008978901],"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":[0.00001638271,0.00004401264,0.00005003653,0.00005067313,0.0007525766,0.00002481398,0.0001500495,0.04328074,0.000001315339,0.2141949,0.4551218,0.2863127],"study_design_scores_gemma":[0.0003360253,0.00002265419,0.0009572679,0.00009031215,0.0000949988,0.000002642461,0.0007372325,0.4763396,0.000002584063,0.006470292,0.5146914,0.0002549835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005682722,0.002052614,0.9045394,0.02391499,0.003532224,0.005963072,0.00000783669,0.000963234,0.05334388],"genre_scores_gemma":[0.7052717,0.001703869,0.1005171,0.006795733,0.002666966,0.001883478,0.0001640887,0.0002267431,0.1807703],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8040223,"threshold_uncertainty_score":0.9989791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1489845683","doi":"","title":"Neurophysiological experimental facility for Quality of Experience (QoE) assessment","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Neurophysiology; Computer science; Cognition; Perception; Quality of experience; Task (project management); Quality (philosophy); Human–computer interaction; Psychology; Neuroscience; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.04322163711128863,"gpt":0.3959813173535848,"spread":0.3527596802422961,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002140659,0.0001829151,0.0003941632,0.00003862505,0.0000614585,0.00002670175,0.0001443992,0.00005705342,0.0003819099],"category_scores_gemma":[0.00002920421,0.0001312504,0.0001489111,0.0001820572,0.0002220736,0.00006863671,0.0000926819,0.0001662431,0.00001510524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009644517,"about_ca_system_score_gemma":0.00001410512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009354516,"about_ca_topic_score_gemma":3.702838e-7,"domain_scores_codex":[0.9985245,0.00008056159,0.0004609194,0.0003685135,0.0002281677,0.0003372629],"domain_scores_gemma":[0.9992121,0.00007386151,0.00009603445,0.0003764791,0.0001373342,0.0001042194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001742558,0.005701617,0.02988575,0.0008321342,0.0006919963,0.00004562903,0.0006057878,0.0002941905,0.7633125,0.07826989,0.06645073,0.0521672],"study_design_scores_gemma":[0.007055376,0.01004913,0.5163994,0.0008775314,0.000338237,0.00001403856,0.009322286,0.04109596,0.3740072,0.01423985,0.02476229,0.001838677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9182062,0.00007908622,0.07109838,0.0003256624,0.0001519204,0.001702856,0.000009277303,0.0002486393,0.008177963],"genre_scores_gemma":[0.9339118,0.00002779003,0.06422555,0.0005044341,0.00004451005,0.0006326725,0.00004221672,0.000009430167,0.0006015909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4865136,"threshold_uncertainty_score":0.5352234,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183117264","doi":"","title":"Lightweight IDS For UAV Networks: A Periodic Deep Reinforcement Learning-based Approach","year":2021,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"","keywords":"Reinforcement learning; Intrusion detection system; Computer science; Reliability (semiconductor); Deep learning; Artificial intelligence; Function (biology); Intrusion; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.00621704456339439,"gpt":0.1919699697802379,"spread":0.1857529252168435,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001876012,0.0002644911,0.0002272374,0.00008823045,0.0002282205,0.0001573255,0.00018701,0.0001132009,0.0001741819],"category_scores_gemma":[0.000006142546,0.0002584209,0.0001205486,0.0008611445,0.00002518899,0.00006959119,0.00004409888,0.0002124353,0.00002379697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001698643,"about_ca_system_score_gemma":0.00001894669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003406454,"about_ca_topic_score_gemma":0.00001435728,"domain_scores_codex":[0.9986173,0.0000343305,0.0003730557,0.0003448032,0.0001630044,0.0004674931],"domain_scores_gemma":[0.9993071,0.00003717302,0.00005878817,0.0003716013,0.0001388579,0.00008646051],"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":[0.0000183757,0.00004133018,0.000043849,0.0000945206,0.0001634071,0.000004642899,0.0000393629,0.9709432,0.000003730527,0.005031778,0.01447629,0.009139571],"study_design_scores_gemma":[0.0004784486,0.00003369348,0.0000299545,0.00004927814,0.00008250939,0.000001105868,0.0001114348,0.8063776,0.0000595512,0.00007751588,0.1924622,0.0002366824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001177318,0.001222066,0.9739263,0.00007130046,0.0003011685,0.0007708957,0.000001275692,0.0005160971,0.02307318],"genre_scores_gemma":[0.8663077,0.001243257,0.1206924,0.0005227932,0.0005752774,0.002554471,0.002733663,0.0001612314,0.005209148],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.86619,"threshold_uncertainty_score":0.9999868,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2114143619","doi":"","title":"DCSim: A data centre simulation tool","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Computer science; Distributed computing; Data center; Data management; Scale (ratio); Database; Software engineering; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.02045548233495488,"gpt":0.2382089582093305,"spread":0.2177534758743757,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004572997,0.0002484626,0.0001871722,0.0001175893,0.0002073495,0.0005750734,0.002585652,0.000055787,0.0001445317],"category_scores_gemma":[0.00001733958,0.0002041979,0.00005581219,0.0009661214,0.00002735909,0.0001431196,0.002612458,0.0001812959,0.0009438831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007728125,"about_ca_system_score_gemma":0.00001157073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042521,"about_ca_topic_score_gemma":0.0000106822,"domain_scores_codex":[0.9977194,0.0001183985,0.0003828903,0.0007934311,0.0004058838,0.0005799723],"domain_scores_gemma":[0.9974263,0.00009890908,0.0001285502,0.002159792,0.00009629002,0.00009018235],"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":[0.000002490323,0.00005788694,0.0001557714,0.00001636856,0.0000999917,0.00002310165,0.00006925581,0.4954771,6.711599e-7,0.01362473,0.136173,0.3542997],"study_design_scores_gemma":[0.0002168905,0.00001715382,0.0008184852,0.00007043836,0.00001842485,8.597016e-7,0.00007311322,0.7827312,0.000001304424,0.002367856,0.2134766,0.0002076982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01424058,0.000205289,0.9444485,0.003045099,0.001177072,0.001243456,0.000002558988,0.001081174,0.03455626],"genre_scores_gemma":[0.923298,0.00002058104,0.06233615,0.001854646,0.0004114542,0.00003530598,0.00007459557,0.00002907406,0.01194017],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9090574,"threshold_uncertainty_score":0.999834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1647529857","doi":"","title":"Investigating event log analysis with minimum apriori information","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":12,"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; Data mining; Software portability; Signature (topology); A priori and a posteriori; Anomaly detection; Event (particle physics); Visualization; Anomaly (physics); Component (thermodynamics); Intrusion detection system; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.005604922757083083,"gpt":0.2029281066355463,"spread":0.1973231838784632,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004770645,0.0002075649,0.0002505569,0.0002550949,0.0001698132,0.0003750684,0.0006581766,0.00006456198,0.00005169312],"category_scores_gemma":[0.00001200337,0.0001384743,0.00009679295,0.002938309,0.00004956087,0.001367599,0.0002146966,0.0001615233,0.0004034172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197449,"about_ca_system_score_gemma":0.00003309628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002806791,"about_ca_topic_score_gemma":0.00003395856,"domain_scores_codex":[0.9983217,0.00007766327,0.0004911994,0.0003047052,0.000399941,0.000404858],"domain_scores_gemma":[0.9986625,0.00004491058,0.0002297824,0.0007277614,0.0002209547,0.0001140441],"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":[0.00001418836,0.0001183883,0.1336561,0.000272915,0.002578478,0.00001171623,0.002066124,0.3956745,0.000005652202,0.0154772,0.05022411,0.3999006],"study_design_scores_gemma":[0.0005775605,0.0001848074,0.09219009,0.0002242082,0.0002732129,0.000004594078,0.0005524185,0.8809447,0.00004250661,0.002643606,0.02182131,0.0005409459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08796348,0.00005332583,0.9035946,0.000617641,0.0003994403,0.0008117345,7.725292e-7,0.0004219391,0.006137091],"genre_scores_gemma":[0.9457575,0.00002072149,0.05278369,0.0008152871,0.00006171272,0.0002002158,0.00003271703,0.000006397727,0.0003217458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.857794,"threshold_uncertainty_score":0.5646818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1597954474","doi":"","title":"Autonomous resource provision in virtual data centers","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":12,"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; Data center; Workload; Provisioning; Virtualization; Resource (disambiguation); Distributed computing; Service-level agreement; Virtual machine; Resource management (computing); Resource allocation; Computer network; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.01470686027935856,"gpt":0.2237851198123083,"spread":0.2090782595329497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008054033,0.0002975685,0.0002534428,0.0002716981,0.0001524666,0.0004886884,0.003694317,0.00007019523,0.00004355955],"category_scores_gemma":[0.0000141542,0.0002491395,0.00005598764,0.001221716,0.00004805041,0.000136254,0.004105964,0.0003276716,0.0003936489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777768,"about_ca_system_score_gemma":0.00001947147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000385883,"about_ca_topic_score_gemma":0.00004349523,"domain_scores_codex":[0.9970554,0.0001970498,0.0005212156,0.001043455,0.0004239452,0.000759001],"domain_scores_gemma":[0.9974102,0.00007370008,0.0001413555,0.002209642,0.00003826819,0.0001268722],"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":[0.00001017618,0.0001691017,0.0003888869,0.00002058309,0.00007438046,0.0001095476,0.0002131566,0.153082,0.000002776568,0.01487729,0.1896649,0.6413872],"study_design_scores_gemma":[0.0004501103,0.00008210868,0.001800828,0.0001825032,0.000009035317,0.000003256054,0.0002862051,0.7543621,0.000002880554,0.0007244491,0.2418305,0.0002660408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.105122,0.0006913656,0.7392006,0.0110703,0.002670222,0.004419158,0.000006199396,0.002350709,0.1344694],"genre_scores_gemma":[0.9605894,0.00003502869,0.02626902,0.002596708,0.0002826564,0.0001194917,0.00008559105,0.00004585158,0.009976219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8554674,"threshold_uncertainty_score":0.9999961,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1938006996","doi":"","title":"Paradigm-based adaptive provisioning in virtualized data centers","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Provisioning; Computer science; Cloud computing; Distributed computing; Virtualization; Allocator; Set (abstract data type); Virtual machine; Task (project management); Computer network; Operating system; Systems engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.02413637387392186,"gpt":0.2397211173316462,"spread":0.2155847434577244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007764152,0.0003150968,0.0002952748,0.0002878574,0.000161221,0.0004302528,0.003017213,0.00006149587,0.00004567458],"category_scores_gemma":[0.00001418886,0.0002613174,0.00006720022,0.001388831,0.00005252121,0.000130721,0.001930046,0.0002958903,0.0002291076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621882,"about_ca_system_score_gemma":0.00003089686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005410484,"about_ca_topic_score_gemma":0.00005205598,"domain_scores_codex":[0.9970263,0.0002606665,0.0005188144,0.001013504,0.000437987,0.0007427687],"domain_scores_gemma":[0.9976625,0.0001299118,0.0001698634,0.001879188,0.00003515264,0.0001234256],"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":[0.00004951531,0.0003273784,0.0009221116,0.0000416172,0.0001904711,0.0002038154,0.0002473186,0.5163006,0.000002700623,0.07229759,0.07271735,0.3366996],"study_design_scores_gemma":[0.000934559,0.000088156,0.00181115,0.0003518226,0.00001388847,0.000001214486,0.000166633,0.9612392,0.000004299278,0.002725953,0.03235464,0.00030853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0154023,0.0003218494,0.9576667,0.004480833,0.001003316,0.002004252,0.000002895267,0.0007411229,0.01837673],"genre_scores_gemma":[0.9213867,0.00001700051,0.07499788,0.002113459,0.0001144338,0.0001562005,0.00004953913,0.00003137471,0.001133479],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9059843,"threshold_uncertainty_score":0.9999839,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1606574190","doi":"","title":"A novel scheme for node failure recovery in virtualized networks","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Node (physics); Computer science; Computer network; Heuristics; Scheme (mathematics); Distributed computing; Service (business); Operating system; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.01107425449988463,"gpt":0.2159723948278764,"spread":0.2048981403279917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006185636,0.0004368134,0.0004717405,0.0002466982,0.0001620341,0.0005146669,0.001354058,0.0002228359,0.00009743263],"category_scores_gemma":[0.00003785016,0.0003864581,0.0002030667,0.00182636,0.00004439263,0.0006238231,0.0004835022,0.0003829465,0.0001111718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731007,"about_ca_system_score_gemma":0.00003405071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000219786,"about_ca_topic_score_gemma":0.0001968977,"domain_scores_codex":[0.9969348,0.00007853626,0.0006780592,0.0008960702,0.0002941495,0.001118338],"domain_scores_gemma":[0.9982158,0.0003236378,0.0002029374,0.0009340823,0.0001624448,0.0001610924],"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":[0.0001026871,0.0002815644,0.0007964065,0.00004930433,0.0002713752,0.00002801192,0.00008712937,0.3279451,0.00003243602,0.08354445,0.416359,0.1705025],"study_design_scores_gemma":[0.002120002,0.0001363052,0.001189569,0.0003171925,0.00002093735,0.000006136464,0.00006810956,0.8944749,0.000007348643,0.009561361,0.09151574,0.000582349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001050275,0.0005092468,0.9913976,0.001469312,0.001205001,0.001742416,0.000003606819,0.0004895519,0.002133011],"genre_scores_gemma":[0.08611965,0.0004118987,0.9003368,0.006657409,0.0007526815,0.002620087,0.0001266549,0.0001069744,0.002867822],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5665299,"threshold_uncertainty_score":0.9998587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2113456791","doi":"","title":"Distributed firewall anomaly detection through LTL model checking","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Université du Québec à Chicoutimi","funders":"","keywords":"Firewall (physics); Computer science; Anomaly detection; Model checking; Anomaly (physics); Data mining; Distributed computing; Theoretical computer science; Entropy (arrow of time)","retraction":null,"screen_n_in":null,"score":{"opus":0.01139360022212546,"gpt":0.2114622444318716,"spread":0.2000686442097461,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002291041,0.0002651807,0.0001977062,0.00007088763,0.0003232908,0.0006219121,0.000703204,0.0001043829,0.00003069741],"category_scores_gemma":[0.000008906629,0.0002358976,0.00007440266,0.001354064,0.0000357032,0.001035967,0.0002496051,0.0002209085,0.0001264623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492768,"about_ca_system_score_gemma":0.00002256065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000863983,"about_ca_topic_score_gemma":0.00002814614,"domain_scores_codex":[0.9981688,0.00006938665,0.0003599309,0.0005566423,0.0002778557,0.0005674028],"domain_scores_gemma":[0.9989874,0.00002745885,0.0001751457,0.0005454434,0.0001830962,0.00008145321],"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":[0.000008935817,0.00006270961,0.00007924722,0.00002764889,0.00007935878,0.000009734058,0.0003097985,0.791803,0.00002309768,0.00584017,0.02354745,0.1782088],"study_design_scores_gemma":[0.0002419799,0.0000353523,0.000174736,0.0001034275,0.00002141341,0.000003287056,0.0000354153,0.9764569,0.0001574349,0.01786101,0.004638084,0.0002708905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002998459,0.0002717086,0.9872285,0.000471885,0.0004921825,0.000407003,0.000001160365,0.0006983525,0.007430797],"genre_scores_gemma":[0.8609649,0.0001408402,0.1364647,0.0006655257,0.0001499859,0.0001470175,0.00005206413,0.00002445416,0.001390475],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8579664,"threshold_uncertainty_score":0.9619625,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1739627315","doi":"","title":"VCG auction-based approach for efficient Virtual Network embedding","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Embedding; Profit (economics); Computer network; Virtual network; Reverse auction; Node (physics); Distributed computing; Common value auction; Microeconomics; Artificial intelligence; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.01131493402776063,"gpt":0.2235076566778448,"spread":0.2121927226500841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007578609,0.0004674963,0.0004081612,0.0001675252,0.0005396764,0.0006189524,0.001289028,0.0001631725,0.00008215328],"category_scores_gemma":[0.0000231433,0.0004000501,0.0002506258,0.001724649,0.00007099633,0.0002291136,0.0003324146,0.0003111111,0.0001331923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877925,"about_ca_system_score_gemma":0.00004798076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005520004,"about_ca_topic_score_gemma":0.000004137257,"domain_scores_codex":[0.9965552,0.0001305654,0.0005960313,0.0009991747,0.0004580904,0.00126093],"domain_scores_gemma":[0.9980123,0.0003279698,0.0002301112,0.000976803,0.0002329129,0.0002198846],"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":[0.0000203656,0.0001026774,0.00008953132,0.00002069719,0.00009777551,0.000003859975,0.00002965014,0.7583858,6.977838e-7,0.0319814,0.1551016,0.05416595],"study_design_scores_gemma":[0.0007564813,0.0001726067,0.0002312325,0.0001109931,0.00004305987,0.000002626182,0.00006939023,0.9567317,0.000007983663,0.002532845,0.03887947,0.0004615909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006056021,0.000347754,0.989689,0.0003932743,0.002185718,0.001902335,0.000002701067,0.0009301772,0.003943453],"genre_scores_gemma":[0.3794304,0.00003717187,0.6119121,0.002712873,0.001598602,0.002044699,0.0001491764,0.00008757715,0.002027422],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3788248,"threshold_uncertainty_score":0.9998451,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1540820669","doi":"","title":"Navigating the clouds with a MAP","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"","keywords":"Cloud computing; Computer science; Software deployment; Set (abstract data type); Cloud service provider; Distributed computing; State (computer science); Adaptation (eye); Cloud management; Cloud computing security; Operating system","retraction":null,"screen_n_in":null,"score":{"opus":0.007084131110449949,"gpt":0.2119523132336853,"spread":0.2048681821232353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004623361,0.0002508366,0.0001639475,0.00002507079,0.0004233887,0.0006182222,0.001621701,0.00003641775,0.00004834395],"category_scores_gemma":[0.000003316838,0.0001345549,0.00006945179,0.0009665149,0.00007495163,0.00004528309,0.0008210369,0.0004758424,0.000478206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006474694,"about_ca_system_score_gemma":0.00001036452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002539038,"about_ca_topic_score_gemma":0.0000163797,"domain_scores_codex":[0.9980947,0.0001276922,0.0002775851,0.0004824538,0.0004120995,0.0006055106],"domain_scores_gemma":[0.9986309,0.00008666134,0.0001318125,0.0009804267,0.00008629147,0.00008389498],"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":[0.000007181496,0.00006949328,0.0004298679,0.00003411537,0.0002964882,0.0000776087,0.0006225063,0.1454249,0.000001700276,0.07698652,0.1127926,0.6632571],"study_design_scores_gemma":[0.0005379669,0.0001818248,0.001975022,0.0006017252,0.00004527207,0.00001813122,0.001050019,0.7733073,0.00001528232,0.007884389,0.2138955,0.0004875948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1031592,0.0007110065,0.7974718,0.03072682,0.001627146,0.002505006,4.707678e-7,0.001667481,0.06213111],"genre_scores_gemma":[0.9381128,0.00001245144,0.05223846,0.003710675,0.0003695872,0.0002712742,0.000003688697,0.0000312324,0.005249861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8349536,"threshold_uncertainty_score":0.614653,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1548880634","doi":"","title":"Automatic optimization for a clustering based approach to support IT management","year":2013,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":7,"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; Leverage (statistics); Cluster analysis; Decision support system; The Internet; Data mining; Machine learning; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.05115904020801395,"gpt":0.2637778227257845,"spread":0.2126187825177706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005239734,0.0004399179,0.0003438053,0.000532368,0.000288984,0.001019366,0.0008327171,0.00009752392,0.002484585],"category_scores_gemma":[0.00002288137,0.0003904938,0.0001281015,0.001702483,0.00003876858,0.001002086,0.0004836101,0.000122329,0.001131314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109755,"about_ca_system_score_gemma":0.00001083547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001156161,"about_ca_topic_score_gemma":0.00003407235,"domain_scores_codex":[0.9974025,0.00001460442,0.0006354848,0.0007342764,0.000411648,0.0008014334],"domain_scores_gemma":[0.9987421,0.00003210723,0.0002295049,0.0006546259,0.0002954543,0.00004621912],"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":[0.00004078637,0.000180013,0.00007015887,0.00101462,0.0001205952,0.000005701104,0.00001167735,0.5363812,0.000001337313,0.008252589,0.3219385,0.1319828],"study_design_scores_gemma":[0.0004457507,0.00002153564,0.0001663102,0.0002283329,0.0001442662,9.336387e-7,0.000220985,0.7743322,0.000002812826,0.0005410798,0.2234942,0.0004016092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003160289,0.00001350877,0.890888,0.001054937,0.0007875311,0.003638583,0.000005818041,0.0004440483,0.1028516],"genre_scores_gemma":[0.3717043,0.00004531455,0.5752068,0.03228445,0.001939506,0.007936834,0.002474018,0.0002597602,0.008148949],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3713883,"threshold_uncertainty_score":0.9998547,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3178692101","doi":"","title":"Bulk Transfer Scheduling with Deadline in Best-Effort SD-WANs","year":2021,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Scheduling (production processes); Cloud computing; Computer network; Software-defined networking; Distributed computing; Multiprotocol Label Switching; The Internet; Quality of service; Operating system; Mathematical optimization","retraction":null,"screen_n_in":null,"score":{"opus":0.0131751480520758,"gpt":0.2211288016618506,"spread":0.2079536536097749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003927451,0.0003428842,0.000362602,0.0001586942,0.0001291851,0.0002534119,0.0007174807,0.0001106717,0.00008260141],"category_scores_gemma":[0.000007108125,0.0002832891,0.00009551064,0.002604215,0.00005836405,0.0002729755,0.000213966,0.000437394,0.00006742301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001134849,"about_ca_system_score_gemma":0.00008844466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009619719,"about_ca_topic_score_gemma":0.0009749458,"domain_scores_codex":[0.9974856,0.0000782347,0.0004598202,0.000791234,0.0004012429,0.0007839193],"domain_scores_gemma":[0.9988263,0.00007999587,0.00004680219,0.0007701953,0.0001433183,0.0001333602],"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":[0.0001065549,0.0004632067,0.008173876,0.00007606925,0.0003241177,0.003253516,0.0002972864,0.6413189,0.000009913046,0.1655592,0.003225414,0.177192],"study_design_scores_gemma":[0.006118795,0.0007483176,0.006761477,0.003028411,0.0002553102,0.0002047955,0.0009234564,0.7340219,0.0006713254,0.01049992,0.2344239,0.002342397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02170913,0.001416776,0.9660566,0.001477461,0.0005744991,0.0004343949,0.000001931759,0.0003478648,0.007981368],"genre_scores_gemma":[0.7812124,0.0008821681,0.2130915,0.002341432,0.0003135279,0.000178498,0.00006769602,0.00006216308,0.001850495],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7595034,"threshold_uncertainty_score":0.9999619,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3179956343","doi":"","title":"PhysarumSM: P2P Service Discovery and Allocation in Dynamic Edge Networks","year":2021,"lang":"en","type":"article","venue":"Integrated Network Management","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":1,"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":"Microservices; Computer science; Orchestration; Cloud computing; Service discovery; Quality of service; Distributed computing; Computer network; Virtualization; Service (business); Enhanced Data Rates for GSM Evolution; Latency (audio); Web service; Operating system; World Wide Web; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.006960465321422824,"gpt":0.2200415085190118,"spread":0.213081043197589,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000168654,0.0001812716,0.0001764806,0.00009359195,0.00004371246,0.0001468345,0.0001457984,0.0000767541,0.00003873289],"category_scores_gemma":[0.000004575459,0.0001799896,0.00003009401,0.001040968,0.00001749929,0.000174559,0.000136423,0.0002902713,0.00002285229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475937,"about_ca_system_score_gemma":0.00001265229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000440925,"about_ca_topic_score_gemma":0.001034305,"domain_scores_codex":[0.9988591,0.00005366706,0.0002169019,0.0002777467,0.0001445024,0.0004481025],"domain_scores_gemma":[0.9995569,0.00004454885,0.00001645417,0.0002708119,0.0000509015,0.00006038163],"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":[0.00002801526,0.00005790158,0.00369868,0.0002443746,0.0002194829,0.0002403169,0.0001160127,0.8895791,0.0003374684,0.001748151,0.01057118,0.0931593],"study_design_scores_gemma":[0.000510032,0.00001536894,0.02791874,0.0003205581,0.00002739341,0.000006635968,0.0003586654,0.9537025,0.00011703,0.000455028,0.01629519,0.000272877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8681168,0.02507706,0.04434439,0.002213261,0.002861195,0.001760421,0.0000185042,0.001068622,0.05453978],"genre_scores_gemma":[0.9939771,0.003498162,0.0005809608,0.0003366398,0.00009857841,0.00006988443,0.000147302,0.00003904631,0.001252337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1258603,"threshold_uncertainty_score":0.7339762,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}