{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":162,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":162,"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","author_layer_release":"2026-06-26"},"query_hash":"bd4564b564ce","filters":{"venue":"The Journal of Supercomputing"}},"results":[{"id":"W1564285798","doi":"10.1007/11227.1573-0484","title":"The Journal of Supercomputing","year":2013,"lang":"en","type":"paratext","venue":"The Journal of Supercomputing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":276,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Supercomputer; Parallel computing; Computational science; Data science","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01591653813637924,"gpt":0.2432204475907962,"spread":0.227303909454417,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002633681,0.001316218,0.00259113,0.003239313,0.001801771,0.0124019,0.001402179,0.001683507,0.1156697],"category_scores_gemma":[0.009199742,0.0005705152,0.0005184425,0.006853014,0.002715865,0.004366081,0.003010472,0.004941025,0.09916383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001840331,"about_ca_system_score_gemma":0.007296482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002447768,"about_ca_topic_score_gemma":0.002466379,"domain_scores_codex":[0.9969319,0.0004834712,0.0002912682,0.0003387152,0.001772758,0.0001818276],"domain_scores_gemma":[0.9898686,0.001694422,0.0005939902,0.001985349,0.004261336,0.001596242],"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":[0.00004951457,0.00005311322,0.0004572243,0.0003984465,0.00003030545,0.00004079624,0.00006336006,0.0003888076,0.0003205955,0.05698019,0.8377596,0.1034582],"study_design_scores_gemma":[0.00000786411,0.000009074031,0.0003109422,0.00009985192,0.000008316387,0.00004662635,0.00003219381,0.0003293905,0.00009437268,0.01659635,0.9824595,0.000005397228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002437633,0.124717,0.01582852,0.05257057,0.2059876,0.000149803,0.002673866,0.001822305,0.5938126],"genre_scores_gemma":[0.02295819,0.1081276,0.00673544,0.005648527,0.07251044,0.0001421391,0.004362287,0.002206512,0.7773088],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8843303,"threshold_uncertainty_score":0.3869536,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2003224378","doi":"10.1007/s11227-014-1161-6","title":"UAV-assisted data gathering in wireless sensor networks","year":2014,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Wireless sensor network; Key distribution in wireless sensor networks; Process (computing); Data collection; Real-time computing; Visual sensor network; Computer network; Mobile wireless sensor network; Wireless; Wireless network; Telecommunications","authors":[{"name":"Mianxiong Dong","is_ca":false},{"name":"Kaoru Ota","is_ca":false},{"name":"Man Lin","is_ca":true},{"name":"Zunyi Tang","is_ca":false},{"name":"Suguo Du","is_ca":false},{"name":"Haojin Zhu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01877998752770289,"gpt":0.2197781669417545,"spread":0.2009981794140516,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003332251,0.0003123179,0.0003827386,0.0003143304,0.0003246076,0.0003501235,0.0004396847,0.0003408367,0.0005144491],"category_scores_gemma":[0.001276892,0.0002017992,0.0001677543,0.0004979033,0.0002833353,0.0006313776,0.0005711362,0.0002684043,0.00008262107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689586,"about_ca_system_score_gemma":0.0002825444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002505616,"about_ca_topic_score_gemma":0.003234032,"domain_scores_codex":[0.9997715,0.00009394383,0.000009064208,0.00003048956,0.00006180513,0.00003308051],"domain_scores_gemma":[0.9995167,0.000288433,0.00005438793,0.00004312113,0.00007496835,0.00002246797],"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":[0.0002029371,0.0000525951,0.001762284,0.0001116,0.00004573492,0.0001329547,0.0001040372,0.9051035,0.01722867,0.006875276,0.001538374,0.06684195],"study_design_scores_gemma":[0.000002326042,0.00001972775,0.0002340847,0.000002155805,0.000002491921,0.00001480436,0.00002018065,0.9974605,0.001228498,0.0007447475,0.0002686394,0.00000175356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2656841,0.001589263,0.7267057,0.0004174148,0.0002200947,0.00005236186,0.0001031845,0.0002653895,0.004962445],"genre_scores_gemma":[0.9688991,0.0003302178,0.02937184,0.0000219438,0.00002719015,0.00002477781,0.00003812056,0.0000152915,0.00127158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002505616,"threshold_uncertainty_score":0.004982054,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380714981","doi":"10.1007/s11227-023-05439-1","title":"DialogueINAB: an interaction neural network based on attitudes and behaviors of interlocutors for dialogue emotion recognition","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":92,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"National Natural Science Foundation of China","keywords":"Conversation; Computer science; Emotion recognition; Focus (optics); Perception; Comprehension; Classifier (UML); Cognitive psychology; Human–computer interaction; Artificial intelligence; Psychology; Communication","authors":[{"name":"Junyuan Ding","is_ca":false},{"name":"Xiaoliang Chen","is_ca":true},{"name":"Peng Lu","is_ca":true},{"name":"Zaiyan Yang","is_ca":false},{"name":"Xianyong Li","is_ca":false},{"name":"Yajun Du","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05491289198521056,"gpt":0.3106297191072561,"spread":0.2557168271220456,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006070765,0.001064822,0.0006322878,0.0007625514,0.0004300577,0.0005041293,0.0009382465,0.0008241044,0.003386631],"category_scores_gemma":[0.0008114321,0.0003233104,0.0004427605,0.0004775706,0.0002065197,0.0007450844,0.001072135,0.001103853,0.001136837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005802781,"about_ca_system_score_gemma":0.0004872759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006469552,"about_ca_topic_score_gemma":0.01256311,"domain_scores_codex":[0.9997793,0.00004954229,0.000008384174,0.00008348489,0.00003871741,0.00004064203],"domain_scores_gemma":[0.9997784,0.00008052075,0.00001865666,0.00001759813,0.00006700029,0.00003771406],"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":[0.001763334,0.001185244,0.01174862,0.0003072179,0.0004137927,0.0002187887,0.0002685387,0.04220545,0.06471067,0.001370823,0.01832859,0.8574791],"study_design_scores_gemma":[0.00004309689,0.0002879293,0.006096863,0.00002810676,0.00007780229,0.00006296507,0.00007289519,0.9796893,0.009255135,0.001109074,0.003242908,0.00003388602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3216217,0.004244119,0.6454301,0.0008716472,0.00124165,0.0005788454,0.004538769,0.01093149,0.01054175],"genre_scores_gemma":[0.8386291,0.0007530506,0.1408297,0.0005773563,0.0002125959,0.0005664037,0.004331571,0.0002655271,0.01383466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006469552,"threshold_uncertainty_score":0.01286376,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386422441","doi":"10.1007/s11227-023-05592-7","title":"SiMaLSTM-SNP: novel semantic relatedness learning model preserving both Siamese networks and membrane computing","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Topic Modeling","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Natural language processing; Sentence; Task (project management); Semantic similarity; Deep learning; State (computer science); Algorithm","authors":[{"name":"Gu Xu","is_ca":false},{"name":"Xiaoliang Chen","is_ca":true},{"name":"Peng Lu","is_ca":true},{"name":"Lan Xiang","is_ca":false},{"name":"Xianyong Li","is_ca":false},{"name":"Yajun Du","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03696003122406642,"gpt":0.2623467247583791,"spread":0.2253866935343126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00118649,0.0009462071,0.00150796,0.0008257846,0.0008448029,0.001382637,0.00290655,0.002161864,0.00400538],"category_scores_gemma":[0.003759916,0.0004606291,0.001104736,0.001312346,0.000669206,0.003892321,0.002907307,0.00260099,0.003698761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007631956,"about_ca_system_score_gemma":0.00227484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005529228,"about_ca_topic_score_gemma":0.009895451,"domain_scores_codex":[0.9989603,0.0002520395,0.00004999668,0.0004006058,0.0002393555,0.0000976916],"domain_scores_gemma":[0.9993284,0.0001761839,0.00003541745,0.0002244097,0.0001686612,0.00006698859],"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":[0.000419944,0.000538682,0.001502753,0.0002269054,0.000223224,0.0001991215,0.0001352718,0.1195758,0.01422813,0.03651331,0.05296925,0.7734676],"study_design_scores_gemma":[0.00002259244,0.00005273615,0.0001508304,0.000007276876,0.00002128603,0.00005861106,0.00001864183,0.9626889,0.003010663,0.03006099,0.00389151,0.00001600131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01866989,0.000685574,0.9644739,0.0008291138,0.0003955126,0.0001145153,0.001048315,0.01062895,0.003154275],"genre_scores_gemma":[0.3878539,0.0007006026,0.5880568,0.001274608,0.0004183352,0.0004242921,0.006011335,0.001310195,0.01395001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005529228,"threshold_uncertainty_score":0.0133993,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2058513528","doi":"10.1007/s11227-009-0321-6","title":"Context-aware cross-layer optimized video streaming in wireless multimedia sensor networks","year":2009,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Computer network; Routing (electronic design automation); Geographic routing; Real-time computing; Path (computing); Node (physics); Transmission (telecommunications); Context (archaeology); Routing protocol; Distributed computing; Dynamic Source Routing; Telecommunications","authors":[{"name":"Lei Shu","is_ca":false},{"name":"Yan Zhang","is_ca":false},{"name":"Zhiwen Yu","is_ca":false},{"name":"Laurence T. Yang","is_ca":true},{"name":"Manfred Hauswirth","is_ca":false},{"name":"Naixue Xiong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01528655477426986,"gpt":0.2585850917082789,"spread":0.243298536934009,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006951937,0.0004940554,0.0008017516,0.0003871862,0.0003798586,0.0005725542,0.0007125974,0.0003617478,0.0005635741],"category_scores_gemma":[0.002179257,0.0002638625,0.0001677863,0.0004530045,0.0002484558,0.0007410068,0.0006382056,0.0005734903,0.00008597433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223855,"about_ca_system_score_gemma":0.0005572206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002156458,"about_ca_topic_score_gemma":0.005536029,"domain_scores_codex":[0.9996586,0.00008175844,0.00002450352,0.0000622548,0.000113037,0.00005980777],"domain_scores_gemma":[0.9991816,0.0004221218,0.00007251169,0.00007153948,0.0001934219,0.00005880044],"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":[0.001153383,0.0004518146,0.003767469,0.0002233431,0.0001473217,0.0002894655,0.0002105242,0.598253,0.1007255,0.007293597,0.004226096,0.2832584],"study_design_scores_gemma":[0.0000101741,0.00005641016,0.0004627391,0.000003465855,0.00001894283,0.00004046093,0.00002422278,0.9931681,0.004988723,0.0009216874,0.000299275,0.000005786225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4278509,0.006035019,0.5606955,0.0005581583,0.0003945577,0.00007857228,0.0001569802,0.0008818824,0.00334842],"genre_scores_gemma":[0.9730734,0.0003725773,0.02567451,0.0000592988,0.00009917488,0.00001696171,0.0000632191,0.00003149543,0.0006092929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002156458,"threshold_uncertainty_score":0.004287779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981340892","doi":"10.1007/s11227-019-03028-9","title":"Threats on the horizon: understanding security threats in the era of cyber-physical systems","year":2019,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Information and Cyber Security","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Computer security; Computer science; Vulnerability (computing); Asset (computer security); Cyber-physical system; Physical security; Usability; Hacker; Internet privacy","authors":[{"name":"Steven Walker-Roberts","is_ca":false},{"name":"Mohammad Hammoudeh","is_ca":false},{"name":"Omar Aldabbas","is_ca":false},{"name":"Mehmet Emin Aydın","is_ca":false},{"name":"Ali Dehghantanha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03878453997431759,"gpt":0.2648093566481098,"spread":0.2260248166737923,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005047808,0.0006274972,0.0005176375,0.007783316,0.002839458,0.009444485,0.0009523319,0.002277308,0.003128902],"category_scores_gemma":[0.009957283,0.0003999313,0.0004606898,0.002990363,0.009136247,0.0246508,0.005370072,0.003145264,0.0004030445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0030127,"about_ca_system_score_gemma":0.002600454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003333349,"about_ca_topic_score_gemma":0.003747823,"domain_scores_codex":[0.9978334,0.001106496,0.0001090544,0.0001830648,0.0005015988,0.0002663237],"domain_scores_gemma":[0.9891903,0.006803495,0.001763773,0.000570014,0.001021821,0.0006506453],"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":[0.000173799,0.0002394942,0.1413059,0.001165845,0.0001038926,0.001640923,0.07173803,0.01144455,0.001600352,0.6418269,0.007456143,0.1213042],"study_design_scores_gemma":[0.000008093205,0.0001445264,0.04829939,0.001718206,0.00003760086,0.001772185,0.1658468,0.02863612,0.0007188271,0.6980178,0.05471895,0.0000815376],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814596,0.02307679,0.1036718,0.05561079,0.0003936809,0.00023216,0.0005351863,0.0001814852,0.1348385],"genre_scores_gemma":[0.9875651,0.003674153,0.007002427,0.0005899531,0.00006553902,0.0000301727,0.0000702489,0.00001727609,0.0009851104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009444485,"threshold_uncertainty_score":0.02669573,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2464411218","doi":"10.1007/s11227-016-1806-8","title":"A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor","year":2016,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Initialization; Benchmark (surveying); Computer science; Convergence (economics); Point (geometry); Feature (linguistics); Mathematical optimization; Population; Optimization algorithm; Interior point method; Algorithm; Mathematics","authors":[{"name":"Rizk M. Rizk‐Allah","is_ca":false},{"name":"Ragab A. El‐Sehiemy","is_ca":false},{"name":"Suash Deb","is_ca":false},{"name":"Gai‐Ge Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04898033443481277,"gpt":0.3018930977565338,"spread":0.2529127633217211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003039533,0.0006580186,0.0007646657,0.0003193637,0.0003560968,0.0004054248,0.00141264,0.001116345,0.00364842],"category_scores_gemma":[0.0004464394,0.0003538148,0.0006640874,0.0002520377,0.0003057212,0.0003259037,0.0006409843,0.0005371745,0.0005374846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003453997,"about_ca_system_score_gemma":0.0006137125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003313865,"about_ca_topic_score_gemma":0.004667851,"domain_scores_codex":[0.9998776,0.00002021275,0.000004502829,0.00002300207,0.00006055893,0.00001410316],"domain_scores_gemma":[0.9998951,0.00003732061,0.00001246612,0.000009291995,0.00003707576,0.000008739951],"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":[0.00002970004,0.00003215182,0.0002208561,0.00008640134,0.00002346933,0.00008283287,0.00003203925,0.9477584,0.00795174,0.00667712,0.0005717049,0.03653349],"study_design_scores_gemma":[0.000004755353,0.00002027458,0.00003300711,0.000002804577,0.00000290855,0.000009501064,0.000003352209,0.9983127,0.0005172869,0.0005162958,0.0005750064,0.000002083551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01037006,0.00007626169,0.9855427,0.00002946323,0.00001572217,0.00004003752,0.00003188099,0.000253331,0.003640576],"genre_scores_gemma":[0.461627,0.0001738142,0.5320157,0.00006704048,0.00002799619,0.0003337466,0.0001741201,0.0001776932,0.00540286],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00364842,"threshold_uncertainty_score":0.01220524,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388565318","doi":"10.1007/s11227-023-05764-5","title":"ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Intrusion detection system; Data mining; Component (thermodynamics); Industrial control system; Artificial intelligence; Machine learning; Normalization (sociology); Curse of dimensionality; Control (management)","authors":[{"name":"Bakht Sher Ali","is_ca":false},{"name":"Inam Ullah","is_ca":false},{"name":"Tamara Al Shloul","is_ca":false},{"name":"Izhar Ahmed Khan","is_ca":false},{"name":"Ijaz Khan","is_ca":false},{"name":"Yazeed Yasin Ghadi","is_ca":false},{"name":"Akmalbek Abdusalomov","is_ca":false},{"name":"Rashid Nasimov","is_ca":false},{"name":"Khmaies Ouahada","is_ca":false},{"name":"Habib Hamam","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03874495637911218,"gpt":0.3072545786417354,"spread":0.2685096222626232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001669017,0.001012781,0.0006823705,0.002530608,0.0006006422,0.001740305,0.001037991,0.0006837741,0.002264258],"category_scores_gemma":[0.003910993,0.0003231348,0.00051315,0.001282163,0.0006005696,0.001646632,0.001010212,0.00099329,0.0006944322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007643274,"about_ca_system_score_gemma":0.001303452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128378,"about_ca_topic_score_gemma":0.003268763,"domain_scores_codex":[0.9992068,0.0001983937,0.00007545774,0.0001599649,0.0003038999,0.00005561168],"domain_scores_gemma":[0.9979402,0.0009227553,0.0002040533,0.0003401609,0.0004500907,0.0001428142],"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":[0.001761269,0.001744574,0.07803378,0.0007844788,0.0009022452,0.0009808067,0.0008368049,0.19746,0.03706179,0.0327659,0.0537064,0.593962],"study_design_scores_gemma":[0.0000332679,0.0001008113,0.003125425,0.00001569215,0.0000456182,0.0001159668,0.0000857868,0.9743465,0.0103206,0.006527387,0.005262522,0.0000204041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.139859,0.000952375,0.7740991,0.001860953,0.001141365,0.0007737741,0.003371158,0.06523865,0.01270363],"genre_scores_gemma":[0.6967695,0.0003278829,0.2957257,0.0004592754,0.0001893445,0.0002599527,0.001934532,0.0004627759,0.00387096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003128378,"threshold_uncertainty_score":0.008826733,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2241877823","doi":"10.1007/s11227-015-1541-6","title":"Improving the classification performance of biological imbalanced datasets by swarm optimization algorithms","year":2015,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"Universidade de Macau","keywords":"Computer science; Machine learning; Artificial intelligence; Class (philosophy); Data mining; Swarm behaviour; Particle swarm optimization; Population; Algorithm","authors":[{"name":"Jinyan Li","is_ca":false},{"name":"Simon Fong","is_ca":false},{"name":"Sabah Mohammed","is_ca":true},{"name":"Jinan Fiaidhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05449515389303571,"gpt":0.2758229984584579,"spread":0.2213278445654222,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002831497,0.0008883901,0.001054495,0.001290171,0.0005952746,0.001543703,0.0008993269,0.0009284026,0.0007944601],"category_scores_gemma":[0.006372492,0.0003059154,0.0006145378,0.001060384,0.0005323348,0.00181585,0.0009685677,0.001081283,0.0004737096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007194696,"about_ca_system_score_gemma":0.0006444625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495809,"about_ca_topic_score_gemma":0.001664699,"domain_scores_codex":[0.9992765,0.000233258,0.00006202275,0.0001380031,0.0002128409,0.00007739074],"domain_scores_gemma":[0.9975957,0.00123405,0.000209067,0.0003647456,0.0005013227,0.00009500024],"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":[0.0006659612,0.0005048616,0.01358331,0.0001541081,0.0002355395,0.00008566126,0.0002382475,0.5873432,0.01401512,0.006205947,0.007439774,0.3695283],"study_design_scores_gemma":[0.00001248377,0.00003435369,0.0006559441,0.0000031806,0.000007844205,0.000007393396,0.00001632063,0.996222,0.001247098,0.001516603,0.0002735306,0.000003210208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4368338,0.001340035,0.5530288,0.001404305,0.0004342352,0.0001224488,0.0002648959,0.001716219,0.004855289],"genre_scores_gemma":[0.8482431,0.0003406292,0.1484064,0.0002488746,0.0001830999,0.0001112088,0.0006275367,0.0001418007,0.001697436],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002831497,"threshold_uncertainty_score":0.01497459,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006741433","doi":"10.1007/s11227-014-1195-9","title":"GAER: genetic algorithm-based energy-efficient routing protocol for infrastructure-less opportunistic networks","year":2014,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Routing protocol; Hop (telecommunications); Latency (audio); Zone Routing Protocol; Distance-vector routing protocol; Distributed computing; Routing (electronic design automation); Wireless Routing Protocol; Telecommunications","authors":[{"name":"Sanjay Kumar Dhurandher","is_ca":false},{"name":"Deepak Kumar Sharma","is_ca":false},{"name":"Isaac Woungang","is_ca":true},{"name":"Rohan Gupta","is_ca":false},{"name":"Sanjay Garg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02180578335023805,"gpt":0.2538559763131712,"spread":0.2320501929629331,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773384,0.0005238521,0.0005513745,0.0006556476,0.0006413045,0.0006971124,0.001341445,0.000840269,0.00145879],"category_scores_gemma":[0.001416913,0.0001832217,0.0003604978,0.0007720598,0.0004774554,0.0006891057,0.0008845545,0.0008316142,0.0003011671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006625534,"about_ca_system_score_gemma":0.001306008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003965994,"about_ca_topic_score_gemma":0.006775781,"domain_scores_codex":[0.9997125,0.0000722494,0.00001169252,0.00004547448,0.00009949064,0.00005854032],"domain_scores_gemma":[0.9995679,0.0001761162,0.0000621801,0.00007283302,0.00009100031,0.00002984225],"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":[0.0002460114,0.0001503215,0.0009423741,0.0001105045,0.0001050932,0.0002963525,0.0001618925,0.7798952,0.01537319,0.03803626,0.008299285,0.1563835],"study_design_scores_gemma":[0.00004009543,0.00008335974,0.000235298,0.00000943309,0.00002390592,0.000117098,0.00003141409,0.9816477,0.003822461,0.009534546,0.004435276,0.00001940363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04836561,0.0004350166,0.9399036,0.0004478972,0.0002078144,0.0001979389,0.0002529758,0.003328716,0.006860517],"genre_scores_gemma":[0.691829,0.0004328911,0.2971267,0.0003119922,0.00003894816,0.0002770381,0.0004754732,0.0002156913,0.009292315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003965994,"threshold_uncertainty_score":0.007885814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1990025926","doi":"10.1023/b:supe.0000014804.20789.21","title":"Run-Time Support for the Automatic Parallelization of Java Programs","year":2004,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Computer science; Thread (computing); Parallel computing; Java; Speedup; Compiler; Multiprocessing; Asynchronous communication; Pointer (user interface); Just-in-time compilation; Runtime system; Automatic parallelization; Java concurrency; Operating system; Real time Java","authors":[{"name":"Bryan Chan","is_ca":true},{"name":"Tarek S. Abdelrahman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02124895608210092,"gpt":0.2636631251575013,"spread":0.2424141690754004,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004559965,0.001427664,0.00103934,0.001433822,0.001200239,0.003611427,0.004199952,0.001272868,0.01086034],"category_scores_gemma":[0.01762678,0.001731338,0.001303614,0.001086292,0.0009929361,0.003814443,0.002896785,0.003681428,0.005150456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007794938,"about_ca_system_score_gemma":0.001754971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002284681,"about_ca_topic_score_gemma":0.002659276,"domain_scores_codex":[0.9966193,0.0006494721,0.0004248839,0.0005878943,0.001223897,0.0004944534],"domain_scores_gemma":[0.9838938,0.006830784,0.00103608,0.005098127,0.002433697,0.0007073108],"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":[0.00820782,0.0009347723,0.01182476,0.001011509,0.0004039676,0.001201522,0.001811365,0.01351694,0.1953445,0.04402366,0.1008252,0.6208939],"study_design_scores_gemma":[0.002470663,0.0004355447,0.007126392,0.0002799504,0.0003972925,0.0008348299,0.0001912556,0.5433472,0.2747762,0.05140246,0.1183623,0.0003757776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05228421,0.0004650072,0.6409623,0.000502208,0.0003214554,0.000221274,0.0008064804,0.2951598,0.009277249],"genre_scores_gemma":[0.4770728,0.0004038334,0.4440135,0.0007573884,0.000445134,0.0004515858,0.005023191,0.06192584,0.009906592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01086034,"threshold_uncertainty_score":0.03633147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2068300465","doi":"10.1007/s11227-008-0184-2","title":"Scalable and efficient key management for heterogeneous sensor networks","year":2008,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Security in Wireless Sensor Networks","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University; Acadia University","funders":"Higher Education Commision, Pakistan; Higher Education Commission, Pakistan; Acadia University","keywords":"Computer science; Scalability; Wireless sensor network; Key management; Key (lock); Distributed computing; Hash function; Computer network; Overhead (engineering); Key generation; Hash chain; Encryption; Computer security","authors":[{"name":"Firdous Kausar","is_ca":true},{"name":"Sajid Hussain","is_ca":true},{"name":"Laurence T. Yang","is_ca":true},{"name":"Ashraf Masood","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01707679819292564,"gpt":0.2226535227446218,"spread":0.2055767245516962,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576284,0.0005953562,0.0009968099,0.0008008838,0.000997513,0.0013665,0.001681548,0.0005641779,0.001785235],"category_scores_gemma":[0.004120832,0.0003264884,0.0002647949,0.0009455938,0.0007069619,0.00447523,0.00275108,0.0008441902,0.0003264579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008102939,"about_ca_system_score_gemma":0.0009160723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000978207,"about_ca_topic_score_gemma":0.001930277,"domain_scores_codex":[0.9989209,0.0002386152,0.0001035574,0.0001497057,0.0003514977,0.0002356131],"domain_scores_gemma":[0.9975986,0.0008068231,0.0002577385,0.0008739217,0.0003430506,0.0001199022],"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":[0.001388049,0.0002788514,0.001535481,0.0003180949,0.0001609394,0.000395361,0.0003352228,0.5067034,0.07481194,0.06849154,0.01420227,0.3313789],"study_design_scores_gemma":[0.00006696364,0.00008424448,0.0002961971,0.00000922175,0.00003636499,0.00009532467,0.0001215593,0.9515321,0.01073404,0.03414451,0.002861844,0.00001758669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09926477,0.002049844,0.8916309,0.0009713931,0.0002542475,0.0001801621,0.0002270343,0.001297932,0.0041238],"genre_scores_gemma":[0.934058,0.0003426176,0.06318074,0.00008405819,0.00008984425,0.00008921193,0.000199255,0.00005128534,0.001904983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001785235,"threshold_uncertainty_score":0.008336306,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390262813","doi":"10.1007/s11227-023-05846-4","title":"Exploring privacy measurement in federated learning","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Confidentiality; Information privacy; Privacy by Design; Field (mathematics); Data science; Computer security; Artificial intelligence","authors":[{"name":"Gopi Krishna Jagarlamudi","is_ca":false},{"name":"Abbas Yazdinejad","is_ca":true},{"name":"Reza M. Parizi","is_ca":false},{"name":"Seyedamin Pouriyeh","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.215619421984535,"gpt":0.2934067596087868,"spread":0.0777873376242518,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03595544,0.0008352857,0.002503756,0.00187786,0.002563414,0.010156,0.004726953,0.003387115,0.00248672],"category_scores_gemma":[0.1352571,0.0009111085,0.001526552,0.002814146,0.006241114,0.02429552,0.01000714,0.005908587,0.0003684354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005353575,"about_ca_system_score_gemma":0.006413811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003112137,"about_ca_topic_score_gemma":0.001878215,"domain_scores_codex":[0.9623663,0.02294463,0.001412814,0.004262099,0.006254095,0.002760027],"domain_scores_gemma":[0.8675765,0.09074152,0.005079138,0.02679149,0.007371041,0.002440353],"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":[0.0008280237,0.0004364006,0.006668599,0.0001875924,0.0002008681,0.0001342864,0.0007817034,0.1786711,0.0009954399,0.7112295,0.002137335,0.09772906],"study_design_scores_gemma":[0.00002237437,0.00006054288,0.0003348775,0.00004057027,0.00002718346,0.00004148479,0.0001583812,0.4472385,0.00129215,0.5497835,0.0009817824,0.00001873286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06316064,0.0007356342,0.9280299,0.003687069,0.000102985,0.00008458401,0.0001663102,0.0005333217,0.003499543],"genre_scores_gemma":[0.9159196,0.000279963,0.08179227,0.0003524136,0.0001047223,0.0000676019,0.0001441724,0.00008186277,0.001257374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03595544,"threshold_uncertainty_score":0.1901528,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205740225","doi":"10.1007/s11227-021-04231-3","title":"LBTM: A lightweight blockchain-based trust management system for social internet of things","year":2022,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Guelph","funders":"","keywords":"Blockchain; Computer science; Internet of Things; Trust management (information system); The Internet; Trustworthiness; Computer security; Metric (unit); Order (exchange); Information sharing; Social network (sociolinguistics); World Wide Web; Data science; Distributed computing; Social media","authors":[{"name":"Mohammad Amiri-Zarandi","is_ca":true},{"name":"Rozita Dara","is_ca":true},{"name":"Evan Fraser","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01320288119483558,"gpt":0.2287466323625298,"spread":0.2155437511676943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001703274,0.0005067437,0.0008394819,0.0007451635,0.001319117,0.001504171,0.001743653,0.001239442,0.007745965],"category_scores_gemma":[0.003768049,0.0004287041,0.000355255,0.0007764683,0.0005995187,0.003586248,0.004014461,0.001455198,0.002443706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006596596,"about_ca_system_score_gemma":0.002099088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809535,"about_ca_topic_score_gemma":0.003983131,"domain_scores_codex":[0.9988678,0.0002717706,0.0001002704,0.0001373846,0.0004492875,0.0001735471],"domain_scores_gemma":[0.9982184,0.0003728179,0.000151008,0.0006491099,0.0003102262,0.0002984757],"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":[0.003858393,0.001172953,0.007445468,0.001159928,0.0004281044,0.001972731,0.001293287,0.08441845,0.06400665,0.1019329,0.09758704,0.6347241],"study_design_scores_gemma":[0.0003828812,0.0004307218,0.001377761,0.00008372922,0.0001104326,0.0004907817,0.0001976156,0.8501339,0.02249452,0.05320292,0.07095239,0.0001423265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06781463,0.0007392471,0.8653295,0.001178774,0.0005371807,0.0009616119,0.001337795,0.04599511,0.01610614],"genre_scores_gemma":[0.8255687,0.0004828768,0.1509838,0.0004398346,0.0001288455,0.0004660963,0.002612183,0.0008713146,0.01844644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007745965,"threshold_uncertainty_score":0.02591276,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4390590962","doi":"10.1007/s11227-023-05790-3","title":"Prism refraction search: a novel physics-based metaheuristic algorithm","year":2024,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Advanced Multi-Objective Optimization Algorithms","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Metaheuristic; Computer science; Algorithm; Test suite; Robustness (evolution); Suite; Benchmark (surveying); Heuristics; Prism; Test case; Machine learning; Optics","authors":[{"name":"Rohit Kundu","is_ca":false},{"name":"Soumitri Chattopadhyay","is_ca":false},{"name":"Sayan Nag","is_ca":true},{"name":"Mario A. Navarro","is_ca":false},{"name":"Diego Oliva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03378277130869906,"gpt":0.2937976566970732,"spread":0.2600148853883741,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009425244,0.001024628,0.001363805,0.00133048,0.0007662865,0.001162291,0.002391861,0.002485953,0.004415323],"category_scores_gemma":[0.001871226,0.0005844134,0.001222254,0.001356796,0.0008335857,0.001032472,0.001854687,0.001579295,0.000601321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030716,"about_ca_system_score_gemma":0.002589653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006080605,"about_ca_topic_score_gemma":0.007535724,"domain_scores_codex":[0.999637,0.0001162274,0.00001796746,0.00005558206,0.0001302139,0.00004290422],"domain_scores_gemma":[0.9994216,0.0003010354,0.00005668469,0.00004235603,0.0001319293,0.00004644746],"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":[0.0001063355,0.0001186487,0.000473402,0.00008793259,0.0001057222,0.00006002381,0.00004558252,0.9216217,0.001760593,0.01892919,0.003122633,0.05356822],"study_design_scores_gemma":[0.00003327992,0.00002729159,0.00003414014,0.000005861396,0.00001146842,0.000009408562,0.000005493684,0.9974572,0.0001437407,0.00164572,0.000621932,0.000004539533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01898162,0.000616884,0.9634777,0.0005521103,0.0003918328,0.0001694184,0.0001203092,0.0006200265,0.01507027],"genre_scores_gemma":[0.2841921,0.000398391,0.7052909,0.0008392449,0.0001847602,0.0005433517,0.0002585282,0.0002615721,0.008031233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006080605,"threshold_uncertainty_score":0.01477075,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2007692703","doi":"10.1007/s11227-010-0434-y","title":"A note on the alternating group network","year":2010,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brock University","funders":"","keywords":"Computer science; Interconnection; Group (periodic table); Class (philosophy); Alternating group; Network topology; Star (game theory); Topology (electrical circuits); Discrete mathematics; Computer network; Combinatorics; Mathematics; Physics; Astrophysics; Artificial intelligence; Symmetric group","authors":[{"name":"Eddie Cheng","is_ca":false},{"name":"Ke Qiu","is_ca":true},{"name":"Zhizhang Shen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01507437455092888,"gpt":0.2389119893499687,"spread":0.2238376147990398,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001119268,0.0005941194,0.0005996656,0.0009608773,0.001271636,0.00165645,0.001172989,0.00164121,0.008845161],"category_scores_gemma":[0.00480299,0.0002976634,0.0006941977,0.001266005,0.002488197,0.005582323,0.00178602,0.004220363,0.001583296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000674527,"about_ca_system_score_gemma":0.0004142071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008137263,"about_ca_topic_score_gemma":0.0007804433,"domain_scores_codex":[0.9994665,0.0002171138,0.00002628871,0.0001109815,0.0001366773,0.00004241777],"domain_scores_gemma":[0.9979809,0.001387329,0.00008458822,0.0002566976,0.0001776807,0.000112797],"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":[0.00002930541,0.000007288129,0.00005303353,0.00004663778,0.00000600581,0.00005713374,0.00004159951,0.001385944,0.0004765792,0.9789933,0.006990666,0.01191255],"study_design_scores_gemma":[0.000006062955,0.00001265768,0.00004922596,0.00001349033,0.000004297873,0.0000572688,0.00001000915,0.003289679,0.0001957875,0.966691,0.02966304,0.000007469976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04065055,0.02284015,0.4503899,0.03586264,0.02745729,0.00008375569,0.000408319,0.0003606679,0.4219467],"genre_scores_gemma":[0.6136325,0.02910934,0.1862725,0.01156083,0.03175547,0.0003127779,0.0004916307,0.0006706024,0.1261944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008845161,"threshold_uncertainty_score":0.02958995,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386995867","doi":"10.1007/s11227-023-05657-7","title":"Data protection in internet of medical things using blockchain and secret sharing method","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Blockchain; Computer security; The Internet; Internet of Things; Secret sharing; Data sharing; Privacy protection; Internet privacy; World Wide Web; Cryptography","authors":[{"name":"Shreyshi Shree","is_ca":false},{"name":"Zhou Chen","is_ca":true},{"name":"Masoud Barati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.074025589283162,"gpt":0.3339816888096673,"spread":0.2599560995265053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002553442,0.0002829018,0.0007875226,0.0008133197,0.001532852,0.001744777,0.001003095,0.00127165,0.003680192],"category_scores_gemma":[0.00486161,0.0002154879,0.0005628933,0.001105197,0.001513822,0.003066544,0.002140868,0.001066998,0.0004540125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008233755,"about_ca_system_score_gemma":0.002131033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009570354,"about_ca_topic_score_gemma":0.0007650702,"domain_scores_codex":[0.9970945,0.0009918642,0.0001817669,0.0003645059,0.0009998668,0.0003675581],"domain_scores_gemma":[0.9960233,0.001726504,0.0003327091,0.001201481,0.0005725555,0.000143438],"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":[0.001316487,0.000312908,0.003862419,0.000655318,0.00022026,0.001227946,0.000946039,0.173451,0.04123517,0.5584901,0.006842926,0.2114394],"study_design_scores_gemma":[0.000151559,0.0003385449,0.0006983567,0.0001187967,0.00008131029,0.000725193,0.0001958484,0.6883338,0.02615219,0.270552,0.01258685,0.00006547813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1182525,0.001087022,0.8595911,0.001319832,0.0002543347,0.0003090154,0.0002403368,0.0005590491,0.01838681],"genre_scores_gemma":[0.9634953,0.0003651129,0.03147035,0.0001112686,0.00005143386,0.00009745707,0.0001085769,0.00002730249,0.004273175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003680192,"threshold_uncertainty_score":0.01350409,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2031282765","doi":"10.1007/s11227-009-0371-9","title":"Adaptive popularity-driven replica placement in hierarchical data grids","year":2009,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Replica; Latency (audio); Distributed computing; Scalability; Data access; Data grid; Grid; Replication (statistics); Popularity; Computer network; Database","authors":[{"name":"Mohammad Shorfuzzaman","is_ca":true},{"name":"Peter Graham","is_ca":true},{"name":"Rasit Eskicioglu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05649258628647368,"gpt":0.2941479790441187,"spread":0.237655392757645,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001682428,0.0002989903,0.0009634349,0.00060294,0.0009823972,0.001059047,0.002395754,0.0008580069,0.00139913],"category_scores_gemma":[0.009801571,0.0006539561,0.0003222601,0.001235097,0.0008930456,0.001345854,0.001452403,0.000673002,0.0003401917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008943468,"about_ca_system_score_gemma":0.001221456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004081244,"about_ca_topic_score_gemma":0.005998013,"domain_scores_codex":[0.9990436,0.0003580812,0.00005820493,0.0001172203,0.0002867776,0.0001360673],"domain_scores_gemma":[0.9939745,0.003056198,0.0004839652,0.001099468,0.0009552232,0.0004306576],"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":[0.0005754838,0.0001355428,0.003955045,0.0001312969,0.00005423301,0.0001969054,0.0002404095,0.8977768,0.01029842,0.02039367,0.0040453,0.0621968],"study_design_scores_gemma":[0.00002808081,0.00002723719,0.0002594277,0.000002026183,0.000006937471,0.0000368976,0.00003684992,0.9927585,0.000843156,0.005651641,0.0003417296,0.000007539909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2971663,0.001037274,0.6952539,0.0008587134,0.0002701062,0.0001132183,0.0001703519,0.001243716,0.003886561],"genre_scores_gemma":[0.932367,0.0001693038,0.06541322,0.00006104531,0.00006620644,0.00004134331,0.00008436448,0.00007641886,0.001721069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004081244,"threshold_uncertainty_score":0.008897662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211602915","doi":"10.1007/s11227-021-04177-6","title":"A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data","year":2021,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Artificial intelligence; Ensemble learning; Machine learning; Sampling (signal processing); Selection (genetic algorithm); Binary number; Binary classification; Data mining; Pattern recognition (psychology); Support vector machine; Mathematics","authors":[{"name":"Jinyan Li","is_ca":false},{"name":"Yaoyang Wu","is_ca":false},{"name":"Simon Fong","is_ca":false},{"name":"Antonio J. Tallón‐Ballesteros","is_ca":false},{"name":"Xin‐She Yang","is_ca":false},{"name":"Sabah Mohammed","is_ca":true},{"name":"Feng Wu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2111408925881917,"gpt":0.3510560927424298,"spread":0.1399152001542381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002172574,0.0008188144,0.00233869,0.000803353,0.0005722275,0.001079023,0.002450587,0.001660655,0.002232677],"category_scores_gemma":[0.006074038,0.0005842202,0.0008627439,0.001080135,0.000627206,0.001680174,0.001409019,0.001618336,0.0005988973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005679625,"about_ca_system_score_gemma":0.001165121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007631116,"about_ca_topic_score_gemma":0.007560675,"domain_scores_codex":[0.9990757,0.0002771724,0.00005249807,0.0002228088,0.0002527922,0.0001189908],"domain_scores_gemma":[0.9981179,0.0009213274,0.0001342224,0.0001809248,0.000526167,0.0001194946],"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":[0.0002667598,0.000169417,0.001434722,0.00007233072,0.0001016186,0.00005434403,0.00006651432,0.8084112,0.001882513,0.00557362,0.003833462,0.1781335],"study_design_scores_gemma":[0.000004067228,0.00001416446,0.00004489619,0.000002155298,0.000004354425,0.000004904611,0.000001662367,0.9993845,0.00008293242,0.0003566877,0.00009808577,0.000001514605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02205984,0.0008051249,0.9740661,0.0003078925,0.0002299289,0.0000664929,0.00008191045,0.0005499176,0.001832754],"genre_scores_gemma":[0.7152858,0.0005560167,0.275139,0.0006394766,0.000406899,0.0002861694,0.0005643183,0.0002050545,0.00691722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007631116,"threshold_uncertainty_score":0.01517344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2020884679","doi":"10.1007/s11227-013-1056-y","title":"Integrating the enriched feature with machine learning algorithms for human movement and fall detection","year":2013,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wearable computer; Artificial intelligence; Accelerometer; Wireless sensor network; Feature (linguistics); Wireless; Machine learning; Algorithm; Artificial neural network; Computer vision; Embedded system; Telecommunications","authors":[{"name":"Chenghua Li","is_ca":true},{"name":"Man Lin","is_ca":true},{"name":"Laurence T. Yang","is_ca":true},{"name":"Chen Ding","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.020646474950314,"gpt":0.2444353180351217,"spread":0.2237888430848077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006391969,0.0008151414,0.00127848,0.001763614,0.0004127966,0.0009419355,0.001003552,0.0008212876,0.002692638],"category_scores_gemma":[0.00232492,0.0002813508,0.00109382,0.001720681,0.0002431362,0.001146009,0.0009652086,0.0007786567,0.001470767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867534,"about_ca_system_score_gemma":0.000736251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585662,"about_ca_topic_score_gemma":0.008080403,"domain_scores_codex":[0.9995984,0.00005871506,0.00002994656,0.0001269483,0.0001191313,0.00006688035],"domain_scores_gemma":[0.9992731,0.000204777,0.00005119523,0.0001381762,0.0002893539,0.00004334197],"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":[0.0004925262,0.0004770503,0.01427218,0.0001472482,0.0002471479,0.0002464136,0.00005989575,0.04315374,0.03074045,0.001678664,0.005307031,0.9031776],"study_design_scores_gemma":[0.00002552949,0.0001486115,0.01118138,0.0000214769,0.0001006043,0.0002752127,0.00003468243,0.9700752,0.01029978,0.005112104,0.002692535,0.00003288095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04844234,0.0003243839,0.9453762,0.0001357999,0.0001670064,0.00007361366,0.0006130963,0.003880041,0.0009876253],"genre_scores_gemma":[0.47302,0.0002414679,0.5222227,0.0001402972,0.0001568769,0.0001393723,0.001520372,0.0003054582,0.002253474],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005585662,"threshold_uncertainty_score":0.01110631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1576210310","doi":"10.1023/a:1024464001273","title":"Performance Evaluation of a Multithreaded Fast Fourier Transform Algorithm for Derivative Pricing","year":2003,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Fast Fourier transform; Parallel computing; Speedup; Algorithm; Parallel algorithm","authors":[{"name":"Ruppa K. Thulasiram","is_ca":true},{"name":"Parimala Thulasiraman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04097960310350324,"gpt":0.280259419547827,"spread":0.2392798164443237,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002266848,0.0006474556,0.001160202,0.0007430936,0.00088907,0.001508457,0.001802272,0.001265084,0.005346166],"category_scores_gemma":[0.007056101,0.0003688564,0.0005108081,0.001292665,0.000543964,0.001911278,0.0009294048,0.001140036,0.0007967193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009287157,"about_ca_system_score_gemma":0.002116667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01271543,"about_ca_topic_score_gemma":0.007905844,"domain_scores_codex":[0.9989555,0.0002869624,0.00007078535,0.0001127541,0.0004250397,0.0001490072],"domain_scores_gemma":[0.9962464,0.001968811,0.0001242942,0.000496126,0.0008942407,0.0002699955],"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":[0.005124295,0.001239678,0.007190159,0.0002347786,0.0002860534,0.0004136447,0.0003399127,0.5251746,0.03742782,0.01985041,0.008583101,0.3941355],"study_design_scores_gemma":[0.00008038579,0.00005331235,0.000283356,0.000001623399,0.000009027778,0.00002158194,0.00001231,0.9957838,0.002870859,0.000614527,0.0002609425,0.000008188932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.599192,0.0007201018,0.3828703,0.0005433999,0.0003856179,0.0001296462,0.000264608,0.007054704,0.008839644],"genre_scores_gemma":[0.8195716,0.0001188988,0.1769293,0.00007149731,0.00004345763,0.00005220195,0.0003192537,0.0004496051,0.002444301],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01271543,"threshold_uncertainty_score":0.02528286,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1757801143","doi":"10.1023/a:1011134903609","title":"Simulation and Analysis of Packet Loss in User Datagram Protocol Transfers","year":2001,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Packet loss; Computer network; Datagram; Network packet; User Datagram Protocol; Quality of service; Internet Protocol; Packet analyzer; End-to-end delay; Internet protocol suite; The Internet; Real-time computing; World Wide Web","authors":[{"name":"Velibor Markovski","is_ca":true},{"name":"Fei Xue","is_ca":true},{"name":"Ljiljana Trajković","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02206584046538757,"gpt":0.292350554373519,"spread":0.2702847139081315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001260003,0.0006104242,0.0006506763,0.0009950759,0.0005951012,0.0006289896,0.0009859777,0.001086128,0.001293944],"category_scores_gemma":[0.00547127,0.0003788832,0.0004065874,0.0007648093,0.0008797148,0.0007173595,0.000399857,0.0008759107,0.000118199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542912,"about_ca_system_score_gemma":0.0008357518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940787,"about_ca_topic_score_gemma":0.006752344,"domain_scores_codex":[0.9995663,0.00014191,0.00001816169,0.00004364299,0.0001076666,0.0001223756],"domain_scores_gemma":[0.9937806,0.004898299,0.0003008209,0.0002002594,0.0006095189,0.000210535],"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":[0.0001923022,0.0001888612,0.002888954,0.00001746663,0.00001716906,0.00005140793,0.00004697192,0.9914812,0.001513812,0.001079339,0.0002214475,0.002300995],"study_design_scores_gemma":[0.000005847962,0.0000212167,0.0002585771,7.399065e-7,0.000003294398,0.000003658022,0.000007717903,0.9990422,0.0005654285,0.00007259747,0.00001710178,0.000001601217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815555,0.0001230048,0.01503312,0.0001805541,0.00004379784,0.00003659,0.0001223781,0.00028803,0.002616994],"genre_scores_gemma":[0.9978258,0.00003841388,0.001654906,0.00001354442,0.000003903227,0.00001314466,0.00004436764,0.00001612473,0.0003896484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01940787,"threshold_uncertainty_score":0.03858978,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057440614","doi":"10.1007/s11227-014-1243-5","title":"Efficient routing based on past information to predict the future location for message passing in infrastructure-less opportunistic networks","year":2014,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Routing protocol; Geographic routing; Latency (audio); Wireless Routing Protocol; Dynamic Source Routing; Probabilistic logic; Distributed computing; Routing (electronic design automation); Link-state routing protocol; Zone Routing Protocol; Telecommunications; Artificial intelligence","authors":[{"name":"Sanjay Kumar Dhurandher","is_ca":false},{"name":"Deepak Kumar Sharma","is_ca":false},{"name":"Isaac Woungang","is_ca":true},{"name":"Aakanksha Saini","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009991258978234632,"gpt":0.2177091045419444,"spread":0.2077178455637098,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008508543,0.0004327418,0.0007593359,0.0009967178,0.0008730947,0.000777761,0.001420219,0.0005525118,0.0007489111],"category_scores_gemma":[0.004784899,0.0004482729,0.0002850784,0.001062725,0.0006192602,0.001471999,0.0009793475,0.0005495701,0.0001549945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047363,"about_ca_system_score_gemma":0.001209666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105905,"about_ca_topic_score_gemma":0.01738431,"domain_scores_codex":[0.999597,0.000096793,0.00002803632,0.0000811579,0.0001104278,0.00008658911],"domain_scores_gemma":[0.9980282,0.00109247,0.0002456871,0.0002677738,0.0002735185,0.00009232213],"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":[0.0001660054,0.00006251899,0.002241547,0.0000521015,0.0000336246,0.00009456097,0.0001153481,0.9335813,0.00263889,0.01374347,0.001425027,0.04584562],"study_design_scores_gemma":[0.000003163073,0.000008833437,0.0001043223,0.000001616396,0.000003831912,0.0000105496,0.00001067214,0.9965352,0.0002544865,0.002923999,0.0001402659,0.000002957951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014925,0.0005698483,0.793661,0.0003807509,0.0001131959,0.00009598618,0.000267431,0.0005803184,0.002838825],"genre_scores_gemma":[0.9582338,0.0002197133,0.04001887,0.00003405679,0.00003416094,0.00004874424,0.0002028138,0.00003344581,0.001174372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0105905,"threshold_uncertainty_score":0.02105772,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205867922","doi":"10.1007/s11227-021-04222-4","title":"A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19","year":2022,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"March of Dimes Canada","funders":"King Saud University","keywords":"Computer science; Convolutional neural network; Staffing; Enhanced Data Rates for GSM Evolution; Computational intelligence; Cloud computing; Artificial intelligence; Edge computing; Machine learning","authors":[{"name":"Md. Rafiul Hassan","is_ca":false},{"name":"Walaa N. Ismail","is_ca":false},{"name":"Ahmad Chowdhury","is_ca":false},{"name":"Sharara Hossain","is_ca":true},{"name":"Shamsul Huda","is_ca":false},{"name":"Mohammad Mehedi Hassan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06620902740773783,"gpt":0.3829997209550136,"spread":0.3167906935472758,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004384285,0.0007621835,0.0005851678,0.0008095931,0.0003764191,0.0007874611,0.001558029,0.001000241,0.001312761],"category_scores_gemma":[0.001095469,0.0002946541,0.0007752518,0.0005289183,0.0005621071,0.0008296659,0.0007063702,0.0007308505,0.0003251387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332597,"about_ca_system_score_gemma":0.001379368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709902,"about_ca_topic_score_gemma":0.01381771,"domain_scores_codex":[0.9996308,0.00005992566,0.00001759885,0.0001269558,0.00009871378,0.00006602229],"domain_scores_gemma":[0.9997997,0.00005386811,0.00002868971,0.00002428118,0.00007670774,0.00001666955],"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":[0.00007311543,0.00006965474,0.002694318,0.00007673056,0.00009094513,0.0002082168,0.00006261091,0.7824038,0.007735299,0.02165153,0.002620338,0.1823135],"study_design_scores_gemma":[0.00000263064,0.00001541002,0.0001674607,0.000004072484,0.000007865837,0.00002629656,0.000004382902,0.9955805,0.001146941,0.002276301,0.0007631773,0.000004983283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01229522,0.0003568762,0.982469,0.0002744434,0.00006448474,0.00006465902,0.00006706478,0.0008745428,0.003533617],"genre_scores_gemma":[0.4904513,0.000626141,0.5019302,0.0004489609,0.00007568684,0.0002756963,0.000365328,0.0001194777,0.005707226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01709902,"threshold_uncertainty_score":0.03399897,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2399372960","doi":"10.1007/s11227-016-1739-2","title":"Finding approximate solutions of NP-hard optimization and TSP problems using elephant search algorithm","year":2016,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Metaheuristic Optimization Algorithms Research","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Lakehead University","funders":"Universidade de Macau","keywords":"Travelling salesman problem; Computer science; Metaheuristic; Mathematical optimization; Firefly algorithm; Search algorithm; Beam search; Algorithm; Combinatorial optimization; Guided Local Search; Local search (optimization); Best-first search; Optimization problem; Benchmark (surveying); Mathematics; Particle swarm optimization","authors":[{"name":"Suash Deb","is_ca":false},{"name":"Simon Fong","is_ca":false},{"name":"Zhonghuan Tian","is_ca":false},{"name":"Raymond K. Wong","is_ca":false},{"name":"Sabah Mohammed","is_ca":true},{"name":"Jinan Fiaidhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08004275425044745,"gpt":0.2965008824944893,"spread":0.2164581282440419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000734618,0.0006084841,0.0009330142,0.001101901,0.0005589392,0.0007440648,0.0008936329,0.001429029,0.003969167],"category_scores_gemma":[0.00412737,0.000450944,0.0007769565,0.001248694,0.0006657512,0.001249217,0.0008330933,0.0008649931,0.0004893339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005007908,"about_ca_system_score_gemma":0.0007653357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176901,"about_ca_topic_score_gemma":0.001800628,"domain_scores_codex":[0.9996994,0.0001033946,0.00001655062,0.00003879318,0.0001040499,0.00003791435],"domain_scores_gemma":[0.9994162,0.0003969504,0.00004275193,0.00004543512,0.00008077294,0.00001786483],"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":[0.0001626588,0.0001225789,0.0008701392,0.0001597009,0.0000763192,0.0001216572,0.0001010734,0.8730178,0.0020436,0.02690971,0.001906082,0.09450876],"study_design_scores_gemma":[0.00002604732,0.0000394747,0.00008877751,0.00001191994,0.000009977987,0.00003618597,0.0000245031,0.9899099,0.0003506483,0.00873429,0.0007651327,0.00000321607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0748899,0.0007605831,0.9120309,0.0003330116,0.0001235749,0.0001105086,0.00007556495,0.0003458208,0.01133012],"genre_scores_gemma":[0.3412208,0.0005563565,0.6529387,0.000128285,0.00005566104,0.0003047852,0.0002443503,0.0001047229,0.004446452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003969167,"threshold_uncertainty_score":0.01327819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2006246786","doi":"10.1007/s11227-009-0298-1","title":"High performance computing and communications","year":2009,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Supercomputer; Grid computing; Snapshot (computer storage); Fault tolerance; Distributed computing; Mainstream; Task (project management); Grid; Telecommunications; Computer architecture; Parallel computing; Operating system; Systems engineering","authors":[{"name":"Keqiu Li","is_ca":false},{"name":"Geyong Min","is_ca":false},{"name":"Laurence T. Yang","is_ca":true},{"name":"Yongquan Wei","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02033985465590372,"gpt":0.254766099473941,"spread":0.2344262448180373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056237,0.0008552733,0.001226872,0.001516404,0.001649652,0.005401029,0.001192842,0.00229354,0.1275834],"category_scores_gemma":[0.003619824,0.0003691843,0.0002997172,0.00295341,0.001613048,0.003187663,0.002823806,0.00284183,0.09496835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009777136,"about_ca_system_score_gemma":0.002059134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118806,"about_ca_topic_score_gemma":0.001183916,"domain_scores_codex":[0.9988348,0.0001613135,0.000059258,0.0001517776,0.0006827104,0.000110111],"domain_scores_gemma":[0.9970962,0.0004756659,0.0001512153,0.0007826308,0.001088173,0.0004061575],"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":[0.00006437789,0.00008076322,0.0005490116,0.0002973997,0.00002805184,0.00009783765,0.00005247591,0.0008453088,0.002548906,0.1231391,0.6375179,0.2347789],"study_design_scores_gemma":[0.0000113198,0.00003354453,0.0005454639,0.00007783694,0.00001105854,0.000116326,0.00004000105,0.003182236,0.001017022,0.03654267,0.9584085,0.00001408463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005478811,0.02460076,0.05030797,0.02741451,0.0399932,0.0003628749,0.001953117,0.003571114,0.8463177],"genre_scores_gemma":[0.05158877,0.02094069,0.01556293,0.003690491,0.01241814,0.0003068747,0.003020968,0.0006891418,0.891782],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1275834,"threshold_uncertainty_score":0.426809,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4403659146","doi":"10.1007/s11227-024-06499-7","title":"Enhancing Chinese comprehension and reasoning for large language models: an efficient LoRA fine-tuning and tree of thoughts framework","year":2024,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Topic Modeling","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Montréal","funders":"Sichuan Province Science and Technology Support Program","keywords":"Computer science; Comprehension; Tree (set theory); Artificial intelligence; Natural language processing; Theoretical computer science; Programming language","authors":[{"name":"Songlin Chen","is_ca":false},{"name":"Weicheng Wang","is_ca":false},{"name":"Xiaoliang Chen","is_ca":true},{"name":"Maolin Zhang","is_ca":false},{"name":"Peng Lu","is_ca":true},{"name":"Xianyong Li","is_ca":false},{"name":"Yajun Du","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01750393598384367,"gpt":0.2834888811719226,"spread":0.2659849451880789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576973,0.000895582,0.001345905,0.001490022,0.001039772,0.002036249,0.002445619,0.0008341133,0.008616065],"category_scores_gemma":[0.006508486,0.0005444161,0.002032438,0.001126852,0.000802683,0.004677376,0.002882354,0.002185029,0.002450441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001211484,"about_ca_system_score_gemma":0.003212852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008757343,"about_ca_topic_score_gemma":0.01441326,"domain_scores_codex":[0.9987453,0.0003986592,0.0001093074,0.0003235984,0.0002793282,0.0001437521],"domain_scores_gemma":[0.9967218,0.001447477,0.0001137135,0.0008047121,0.0007127628,0.0001994745],"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":[0.0006464237,0.0006154857,0.003100249,0.0004610073,0.0002114152,0.0004984274,0.001597068,0.06002975,0.02734623,0.0673518,0.02395851,0.8141837],"study_design_scores_gemma":[0.00005366978,0.00006642627,0.0002931091,0.00001534649,0.00009613193,0.00007780637,0.0002120182,0.9327101,0.008923966,0.05201417,0.00550502,0.0000322307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03251089,0.0002460952,0.9470865,0.0004469538,0.00007316477,0.0001816434,0.0004849084,0.0152206,0.003749389],"genre_scores_gemma":[0.3494346,0.0001517121,0.6434933,0.0002351331,0.0000886812,0.0002180597,0.001313899,0.001005425,0.004059264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008757343,"threshold_uncertainty_score":0.02882361,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220684352","doi":"10.1007/s11227-022-04416-4","title":"Emotion recognition models for companion robots","year":2022,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Emotion and Mood Recognition","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Ontario Tech University","funders":"Mitacs","keywords":"Computer science; Facial expression; Leverage (statistics); Artificial intelligence; Machine learning; Humanoid robot; Deep learning; Robot; Human–computer interaction; Multimodal learning; Speech recognition","authors":[{"name":"Ritvik Nimmagadda","is_ca":false},{"name":"Kritika Arora","is_ca":false},{"name":"Miguel Vargas Martín","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1047504089468876,"gpt":0.3185870187351316,"spread":0.213836609788244,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000369448,0.0004992766,0.000628675,0.0002681991,0.0003284026,0.0008942338,0.0009579458,0.000762522,0.007402556],"category_scores_gemma":[0.001546605,0.000272698,0.0008206744,0.000219508,0.0003359317,0.0009661396,0.0005501141,0.00142802,0.001631303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006055378,"about_ca_system_score_gemma":0.0003561481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00637515,"about_ca_topic_score_gemma":0.006653405,"domain_scores_codex":[0.9998608,0.0000311872,0.000005264778,0.0000531028,0.0000175648,0.0000321544],"domain_scores_gemma":[0.9996691,0.0001338398,0.00003294082,0.00004418899,0.00008827054,0.00003165737],"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":[0.0005928997,0.0004117599,0.006115586,0.0001305122,0.0001926474,0.0002509469,0.0003652777,0.6868474,0.009145562,0.0351226,0.01283789,0.2479869],"study_design_scores_gemma":[0.000005316676,0.0000185648,0.0006129068,0.00000338794,0.000008343393,0.0000131255,0.00001673049,0.989485,0.0002947884,0.009089882,0.0004476128,0.000004452382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2097358,0.001311382,0.7680518,0.00173738,0.0003745254,0.0001057443,0.0005653327,0.002176026,0.01594191],"genre_scores_gemma":[0.9544358,0.000242303,0.03441934,0.0001448511,0.00006424078,0.00008836689,0.0004074181,0.00009158903,0.01010608],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007402556,"threshold_uncertainty_score":0.02476406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4384927041","doi":"10.1007/s11227-023-05535-2","title":"Using a privacy-enhanced authentication process to secure IoT-based smart grid infrastructures","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Physical Unclonable Functions (PUFs) and Hardware Security","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université du Québec à Montréal; Vanier College","funders":"Shahid Rajaee Teacher Training University; Kharazmi University; Universidad Carlos III de Madrid; Comunidad de Madrid","keywords":"Computer science; Mutual authentication; Smart grid; Computer security; Elliptic curve cryptography; Authentication (law); Cryptography; Electricity; Process (computing); Physical unclonable function; Computer network; Embedded system; Public-key cryptography; Encryption; Electrical engineering","authors":[{"name":"Samad Rostampour","is_ca":true},{"name":"Nasour Bagheri","is_ca":false},{"name":"Behnam Ghavami","is_ca":false},{"name":"Ygal Bendavid","is_ca":true},{"name":"Saru Kumari","is_ca":false},{"name":"Honorio Martín","is_ca":false},{"name":"Carmen Cámara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02942587520550176,"gpt":0.3001802971726391,"spread":0.2707544219671373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002442405,0.0004313335,0.0005200814,0.0006754391,0.0009779559,0.002156005,0.0009952376,0.001495502,0.003088121],"category_scores_gemma":[0.005723523,0.0003361269,0.0006398201,0.0005598625,0.001503492,0.004811777,0.002954138,0.00202819,0.001384225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000496623,"about_ca_system_score_gemma":0.00130839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000353639,"about_ca_topic_score_gemma":0.0003697313,"domain_scores_codex":[0.9972018,0.0007729598,0.0002204104,0.000409094,0.0009762614,0.0004196062],"domain_scores_gemma":[0.9949012,0.001265166,0.0005379166,0.002476441,0.0006686514,0.0001507136],"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":[0.002436203,0.0005673377,0.0052184,0.0003071253,0.0001635384,0.001368831,0.0007811034,0.08113285,0.2066714,0.471686,0.00632343,0.2233438],"study_design_scores_gemma":[0.0001040508,0.0003935004,0.0007861846,0.000042227,0.00008042553,0.000819653,0.0001299339,0.7517462,0.139824,0.09146485,0.0145263,0.00008269901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03404056,0.0001392674,0.9597394,0.0004200981,0.0001868504,0.0001270035,0.00005003925,0.001360949,0.00393584],"genre_scores_gemma":[0.8991282,0.000138756,0.09592886,0.0002129642,0.00009250455,0.00007040484,0.000070982,0.00008215874,0.004275171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003088121,"threshold_uncertainty_score":0.0129168,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2181058803","doi":"10.1007/s11227-015-1433-9","title":"Incomplete high-dimensional data imputation algorithm using feature selection and clustering analysis on cloud","year":2015,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Imputation (statistics); Cluster analysis; Data mining; Missing data; Feature selection; Data set; Algorithm; Cloud computing; Hierarchical clustering; Pattern recognition (psychology); Artificial intelligence; Machine learning","authors":[{"name":"Fanyu Bu","is_ca":false},{"name":"Zhikui Chen","is_ca":false},{"name":"Qingchen Zhang","is_ca":false},{"name":"Laurence T. Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05964736565991257,"gpt":0.2945540920085865,"spread":0.2349067263486739,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002795851,0.0006658987,0.002308309,0.001442523,0.001984297,0.00171319,0.00376934,0.001024164,0.002528891],"category_scores_gemma":[0.006735977,0.0006743428,0.002283497,0.00348753,0.000539378,0.002146924,0.001956858,0.001965492,0.001239495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008858725,"about_ca_system_score_gemma":0.003562739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01322596,"about_ca_topic_score_gemma":0.01074453,"domain_scores_codex":[0.9980335,0.0004279484,0.0001710143,0.0004515109,0.0005961027,0.0003200051],"domain_scores_gemma":[0.9965509,0.0008298478,0.0002461601,0.0009798006,0.001246063,0.0001471502],"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":[0.0008843162,0.000630595,0.01926575,0.0001886605,0.0005942096,0.0005054164,0.0002721013,0.379564,0.005086749,0.01377966,0.02018533,0.5590432],"study_design_scores_gemma":[0.00002060203,0.00002596913,0.001233925,0.000006979045,0.00002753286,0.00005626315,0.00004337459,0.9921805,0.001302932,0.004153494,0.0009355322,0.00001291576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02172259,0.0001724683,0.9757873,0.0002239343,0.00009120873,0.00007148999,0.0004159248,0.001035313,0.0004796753],"genre_scores_gemma":[0.329863,0.0002658439,0.6634223,0.0001533115,0.0001506489,0.0002455012,0.003452668,0.0002089922,0.002237749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01322596,"threshold_uncertainty_score":0.02629799,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2049920528","doi":"10.1007/s11227-012-0826-2","title":"Enhancing performance of failure-prone clusters by adaptive provisioning of cloud resources","year":2012,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Provisioning; Computer science; Cloud computing; Distributed computing; Scheduling (production processes); Virtual machine; Probabilistic logic; Resource (disambiguation); Fault tolerance; Computer network; Operating system","authors":[{"name":"Bahman Javadi","is_ca":false},{"name":"Parimala Thulasiraman","is_ca":true},{"name":"Rajkumar Buyya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01040836603852283,"gpt":0.2120975063611327,"spread":0.2016891403226099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008903663,0.0006408738,0.0005202926,0.0004217932,0.0006486622,0.001001594,0.001334032,0.0005501469,0.001349415],"category_scores_gemma":[0.004752858,0.0002959103,0.0001827971,0.0005089066,0.0004282029,0.001418574,0.001048648,0.0006732476,0.0003169052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000431605,"about_ca_system_score_gemma":0.0007619446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270566,"about_ca_topic_score_gemma":0.001805653,"domain_scores_codex":[0.9995134,0.0001142711,0.00002349871,0.00006658129,0.0001304234,0.0001517828],"domain_scores_gemma":[0.9975937,0.0008056089,0.0003031791,0.0005806325,0.0004201508,0.0002967776],"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":[0.001529093,0.0003773135,0.01278974,0.0001714473,0.0001174675,0.0004755934,0.0003212428,0.7345497,0.1378004,0.005412093,0.003688651,0.1027673],"study_design_scores_gemma":[0.00004722268,0.0002953513,0.005407962,0.00001011063,0.00005101745,0.0001487787,0.0001199002,0.9718934,0.01601338,0.004650846,0.001338155,0.00002381672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722795,0.000643291,0.1195892,0.0006427532,0.0001486287,0.00005350637,0.00007739044,0.0017773,0.004788548],"genre_scores_gemma":[0.9943098,0.00007914282,0.005197559,0.00002004422,0.00002968671,0.000006749141,0.00002903474,0.00003657797,0.0002915026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001349415,"threshold_uncertainty_score":0.004708707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015457254","doi":"10.1007/s11227-007-0144-2","title":"A multiprocessor based heuristic for multi-dimensional multiple-choice knapsack problem","year":2007,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Optimization and Packing Problems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"Knapsack problem; Computer science; Heuristic; Multiprocessing; Parallel computing; Overhead (engineering); Change-making problem; Mathematical optimization; Algorithm; Continuous knapsack problem; Mathematics","authors":[{"name":"Abu Zafar M. Shahriar","is_ca":false},{"name":"Md. Mostofa Akbar","is_ca":true},{"name":"M. Sohel Rahman","is_ca":false},{"name":"M. A. Hakim Newton","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03654757383663416,"gpt":0.2712778168740724,"spread":0.2347302430374382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000848569,0.0008752659,0.001607864,0.001410003,0.001117978,0.001298446,0.001981671,0.001459584,0.004253177],"category_scores_gemma":[0.00225013,0.0007534893,0.0007709093,0.001631164,0.0005028357,0.001233336,0.001176612,0.0009042564,0.0004693063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009341393,"about_ca_system_score_gemma":0.001754154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004852273,"about_ca_topic_score_gemma":0.007839649,"domain_scores_codex":[0.9994454,0.0001735379,0.00003267204,0.00009029709,0.0001292004,0.0001289297],"domain_scores_gemma":[0.9988223,0.0005880366,0.0001068879,0.0001075058,0.0002622009,0.0001130086],"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":[0.0003778272,0.0002035785,0.0005639985,0.0001108224,0.00005976771,0.0001206874,0.00003597193,0.9148933,0.003259321,0.003031259,0.002061062,0.07528233],"study_design_scores_gemma":[0.00004758315,0.00007729934,0.0001359645,0.000006267104,0.00001916501,0.00002455288,0.00001356488,0.9976585,0.0004985426,0.00108471,0.0004248197,0.000009038773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1134897,0.001664967,0.8721898,0.0004717055,0.0006493355,0.0002381294,0.0001464351,0.001075089,0.01007483],"genre_scores_gemma":[0.558534,0.0003892487,0.437054,0.0002148774,0.0001056609,0.0002446339,0.0002278808,0.0001450482,0.0030846],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004852273,"threshold_uncertainty_score":0.01422828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4388522269","doi":"10.1007/s11227-023-05753-8","title":"PCP–ACO: a hybrid deadline-constrained workflow scheduling algorithm for cloud environment","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; University of Alberta","funders":"","keywords":"Computer science; Workflow; Cloud computing; Ant colony optimization algorithms; Distributed computing; Scheduling (production processes); Algorithm; Workflow management system; Job shop scheduling; Mathematical optimization; Operating system; Database; Computer network; Routing (electronic design automation)","authors":[{"name":"Peyman Shobeiri","is_ca":false},{"name":"Mehdi Akbarian Rastaghi","is_ca":true},{"name":"Saeid Abrishami","is_ca":false},{"name":"Behnam Shobiri","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01936236161578111,"gpt":0.23588851900962,"spread":0.2165261573938389,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005745438,0.0005956718,0.0007955779,0.0006441563,0.0006698543,0.0007530212,0.001637564,0.0007992976,0.002157212],"category_scores_gemma":[0.001183215,0.0003922484,0.0005606343,0.001572386,0.0002642668,0.000691298,0.0007372687,0.0008968876,0.0004391019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006101016,"about_ca_system_score_gemma":0.00273803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244291,"about_ca_topic_score_gemma":0.01509063,"domain_scores_codex":[0.9996154,0.00007384026,0.00002078034,0.00008490286,0.0001330852,0.00007197569],"domain_scores_gemma":[0.9994816,0.0001825149,0.00004973703,0.00005930955,0.0001458648,0.00008105108],"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":[0.0006388827,0.0003869002,0.001165517,0.000237121,0.0001268892,0.0001682428,0.00003567478,0.6708649,0.008341434,0.007961449,0.01406729,0.2960057],"study_design_scores_gemma":[0.00005470112,0.00004408372,0.0001365695,0.000004146904,0.000009562001,0.00004817207,0.000005447469,0.9960274,0.0006720286,0.001153001,0.001838624,0.000006359305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03736192,0.001028241,0.9507484,0.0005834919,0.0005655432,0.0002324368,0.0003284694,0.001790773,0.00736071],"genre_scores_gemma":[0.3651452,0.000514964,0.6253753,0.0003125723,0.000163881,0.0001880872,0.0005042964,0.0002786804,0.007517102],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01244291,"threshold_uncertainty_score":0.02474099,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2074688378","doi":"10.1007/s11227-009-0294-5","title":"Analyzing and enhancing the parallel sort operation on multithreaded architectures","year":2009,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Multithreading; Parallel computing; Quicksort; sort; Simultaneous multithreading; Parallelism (grammar); Sorting algorithm; Computer architecture; Thread (computing); Operating system","authors":[{"name":"Layali Rashid","is_ca":true},{"name":"Wessam Hassanein","is_ca":true},{"name":"Moustafa A. Hammad","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01582151918779278,"gpt":0.2631792472619862,"spread":0.2473577280741934,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169274,0.0006325759,0.0005938304,0.0006826964,0.0008809399,0.001652433,0.001313117,0.0005689529,0.001900355],"category_scores_gemma":[0.005019973,0.0004162016,0.0005327064,0.001059027,0.00107993,0.00268511,0.000676663,0.0007979521,0.0002806452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008154301,"about_ca_system_score_gemma":0.002144206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006250449,"about_ca_topic_score_gemma":0.008523629,"domain_scores_codex":[0.9992312,0.0001362081,0.00004310203,0.0000923609,0.0003547098,0.000142357],"domain_scores_gemma":[0.9972129,0.001299233,0.0002225287,0.0005441916,0.0006160656,0.0001050663],"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":[0.003077147,0.0005660495,0.02689807,0.0004378112,0.0001517142,0.0003438001,0.0006088185,0.4173716,0.1749968,0.05569655,0.003788217,0.3160635],"study_design_scores_gemma":[0.0000442419,0.0001292115,0.001837684,0.000005623783,0.00005290893,0.00006606147,0.00009126878,0.9231558,0.06015238,0.01309042,0.001353687,0.00002063342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6839061,0.0005900551,0.3076567,0.0003702086,0.0001504783,0.00005982892,0.00009330554,0.002668539,0.004504772],"genre_scores_gemma":[0.8931808,0.0002093989,0.1033151,0.00006166864,0.00004714368,0.00002242271,0.0001206586,0.0003268326,0.002715889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006250449,"threshold_uncertainty_score":0.0124281,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1968014753","doi":"10.1023/b:supe.0000020178.66165.f3","title":"Optimization of DTM Interpolation Using SFS with Single Satellite Imagery","year":2004,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Interpolation (computer graphics); Terrain; Remote sensing; Computation; Digital elevation model; Satellite; Context (archaeology); Computer vision; Artificial intelligence; Field (mathematics); Elevation (ballistics); Computer graphics (images); Algorithm; Geology; Image (mathematics); Geography; Cartography","authors":[{"name":"Mohammad Rajabi","is_ca":true},{"name":"J. A. R. Blais","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0159004112065297,"gpt":0.2238392353639511,"spread":0.2079388241574213,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007536573,0.0007241274,0.0007617369,0.0008870859,0.0005438658,0.0005397347,0.0007345169,0.0008623821,0.004274106],"category_scores_gemma":[0.003338963,0.000596179,0.0008559434,0.001577125,0.0004046595,0.0008453831,0.0005124911,0.0007091704,0.0008386511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007933541,"about_ca_system_score_gemma":0.001911395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02569518,"about_ca_topic_score_gemma":0.02621689,"domain_scores_codex":[0.999757,0.00007387706,0.00001807623,0.00005434256,0.00006544346,0.00003126106],"domain_scores_gemma":[0.9990858,0.0004909324,0.0000586336,0.0001336059,0.0001929557,0.00003813593],"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":[0.0001708544,0.0000569768,0.001092109,0.0000665242,0.000034517,0.00003756596,0.00004808738,0.8782427,0.004552132,0.002512471,0.001452117,0.111734],"study_design_scores_gemma":[0.000007070161,0.000009013814,0.0001735968,0.000001807431,0.000002719198,0.000005067114,0.000004124692,0.9982777,0.0007660475,0.0004274929,0.0003224997,0.000002784951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1419753,0.0002505558,0.8508092,0.0002186938,0.0001593865,0.00006712427,0.00056651,0.00204695,0.003906379],"genre_scores_gemma":[0.4724522,0.0001048924,0.5234966,0.00005299801,0.00005930952,0.0000858587,0.0007790028,0.0004917891,0.00247738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02569518,"threshold_uncertainty_score":0.05109125,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2025586852","doi":"10.1007/s11227-013-0893-z","title":"Normalized particle swarm optimization for complex chooser option pricing on graphics processing unit","year":2013,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Computer science; Valuation of options; Particle swarm optimization; Exotic option; Mathematical optimization; Black–Scholes model; Binomial options pricing model; Profit (economics); Finance; Algorithm; Economics; Microeconomics; Volatility (finance); Mathematics","authors":[{"name":"Bhanu Sharma","is_ca":true},{"name":"Ruppa K. Thulasiram","is_ca":true},{"name":"Parimala Thulasiraman","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06439300136935261,"gpt":0.2568065548535011,"spread":0.1924135534841485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00130032,0.0006329679,0.00112695,0.0005962561,0.0005947956,0.0009547681,0.001129406,0.001489152,0.003384536],"category_scores_gemma":[0.004673471,0.0005624474,0.0006674101,0.0007694051,0.0007055656,0.0009530676,0.0009266709,0.001189047,0.0003167753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015483,"about_ca_system_score_gemma":0.001416469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522071,"about_ca_topic_score_gemma":0.009624966,"domain_scores_codex":[0.9995984,0.0002209289,0.00002095244,0.00004149901,0.00008557016,0.00003261211],"domain_scores_gemma":[0.998154,0.001294609,0.00007652279,0.0001144016,0.0002686491,0.00009175749],"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":[0.00006051155,0.00003009926,0.000240616,0.00002054941,0.00001669383,0.00002806252,0.00002274437,0.9823411,0.0003476646,0.005854941,0.0007717209,0.0102654],"study_design_scores_gemma":[0.000002502085,0.000001582683,0.00001003584,3.267534e-7,4.026022e-7,4.605334e-7,8.374441e-7,0.9995053,0.00001774985,0.0004348496,0.0000252626,5.890111e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06581886,0.0002732769,0.9283905,0.0004659395,0.0001664427,0.00007961963,0.00009652571,0.0004280446,0.004280849],"genre_scores_gemma":[0.6301524,0.0001671717,0.3638068,0.0001440827,0.00007626901,0.0002307338,0.0001926683,0.0002632862,0.004966549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01522071,"threshold_uncertainty_score":0.0302642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3119935873","doi":"10.1007/s11227-020-03582-7","title":"SS-ITS: secure scalable intelligent transportation systems","year":2021,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Scalability; Intelligent transportation system; Reinforcement learning; Merge (version control); Distributed computing; Anomaly detection; Baseline (sea); Process (computing); Artificial intelligence; Database; Parallel computing; Operating system","authors":[{"name":"Asma Belhadi","is_ca":false},{"name":"Youcef Djenouri","is_ca":false},{"name":"Gautam Srivastava","is_ca":true},{"name":"Jerry Chun‐Wei Lin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01773233525814767,"gpt":0.2445898494599457,"spread":0.2268575142017981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008542178,0.0008625786,0.0006179906,0.0007827224,0.0005443061,0.001498634,0.001532834,0.0006439841,0.01505635],"category_scores_gemma":[0.002259798,0.0003185412,0.0004885156,0.0007287553,0.0007446163,0.002369473,0.002347487,0.001063922,0.004751538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777346,"about_ca_system_score_gemma":0.001291219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237356,"about_ca_topic_score_gemma":0.002423569,"domain_scores_codex":[0.9993611,0.0001289023,0.00005507806,0.00009720711,0.0002521471,0.000105527],"domain_scores_gemma":[0.9986644,0.0001909833,0.00008219654,0.0007529447,0.0002119964,0.00009757534],"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":[0.003715161,0.0004060724,0.003780612,0.0004375287,0.0002979302,0.0004111091,0.0001981445,0.2537501,0.0336251,0.1032915,0.20687,0.3932167],"study_design_scores_gemma":[0.0002040154,0.0002205348,0.0004615016,0.00002411948,0.00005628607,0.0001086155,0.0000544536,0.8804839,0.02420189,0.05341529,0.04073585,0.00003347994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0618779,0.0007310578,0.7740787,0.001360758,0.0009778399,0.0004785034,0.004589361,0.1284983,0.02740756],"genre_scores_gemma":[0.8584414,0.0003327951,0.1171457,0.0003592705,0.0002142529,0.0002424505,0.00491306,0.001608573,0.01674243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01505635,"threshold_uncertainty_score":0.05036849,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2033647326","doi":"10.1007/s11227-014-1086-0","title":"An analytical study of resource division and its impact on power and performance of multi-core processors","year":2014,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Benchmark (surveying); Computer science; Division (mathematics); Power consumption; Resource (disambiguation); Power (physics); Core (optical fiber); Multi-core processor; Chip; Architecture; Microarchitecture; Parallel computing; Distributed computing; Computer architecture; Embedded system; Computer engineering; Telecommunications; Computer network; Arithmetic","authors":[{"name":"Saravanan Vijayalakshmi","is_ca":true},{"name":"Alagan Anpalagan","is_ca":true},{"name":"D. P. Kothari","is_ca":false},{"name":"Isaac Woungang","is_ca":true},{"name":"Mohammad S. Obaidat","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02853709042077261,"gpt":0.3203201213855511,"spread":0.2917830309647785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000617401,0.0004316366,0.000446476,0.0005082263,0.0003750367,0.0008041077,0.0008420058,0.0004803984,0.002905357],"category_scores_gemma":[0.006209002,0.0003441553,0.0003571378,0.0008947444,0.0008286203,0.001128808,0.0005610863,0.000621045,0.0002698121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008431491,"about_ca_system_score_gemma":0.0008189525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002809044,"about_ca_topic_score_gemma":0.002718718,"domain_scores_codex":[0.9997272,0.00007121991,0.000006065278,0.00002711519,0.00008213771,0.00008621818],"domain_scores_gemma":[0.9977911,0.001729166,0.0001461415,0.0001034178,0.0001752952,0.00005481895],"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":[0.0002919495,0.0001480203,0.003099323,0.0002307307,0.00004489693,0.0004547113,0.0002233437,0.8751948,0.01831139,0.07393801,0.001739602,0.02632307],"study_design_scores_gemma":[0.000006870169,0.00003089282,0.0008794597,0.00001054259,0.00001372734,0.00007678658,0.00004364449,0.9915606,0.001673689,0.004869367,0.0008286966,0.0000056446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7773776,0.008254683,0.1381641,0.001809168,0.0001867145,0.00006498986,0.0001508166,0.0002901606,0.07370177],"genre_scores_gemma":[0.993077,0.0005063511,0.002904116,0.00005440097,0.00003402372,0.000008182779,0.00001479506,0.00004230954,0.003358954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002905357,"threshold_uncertainty_score":0.009719431,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2036738287","doi":"10.1007/s11227-008-0215-z","title":"Prediction of dynamical, nonlinear, and unstable process behavior","year":2008,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Scheduling (production processes); Nonlinear system; Process (computing); Distributed computing; Mathematical optimization","authors":[{"name":"Rodrigo Fernandes de Mello","is_ca":false},{"name":"Laurence T. Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03187427107375176,"gpt":0.2506422405370324,"spread":0.2187679694632807,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006610114,0.0004055456,0.000365968,0.0004210747,0.0002969509,0.0006793789,0.0004356767,0.0005586809,0.001131009],"category_scores_gemma":[0.003790136,0.0002335477,0.0003185557,0.0002041564,0.0004332776,0.0007332122,0.0003857963,0.0007520119,0.0001618654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734586,"about_ca_system_score_gemma":0.0004792533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005199722,"about_ca_topic_score_gemma":0.003369442,"domain_scores_codex":[0.9998857,0.00003070706,0.00000551872,0.00003241111,0.00002628817,0.00001934296],"domain_scores_gemma":[0.9983694,0.001107754,0.0001431238,0.0001109978,0.0001735477,0.00009512143],"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":[0.0003171533,0.0001264541,0.01372588,0.00004011819,0.00006079265,0.0001284391,0.00006219882,0.9481848,0.004950949,0.007079547,0.0007809286,0.0245428],"study_design_scores_gemma":[0.000001682425,0.000003189103,0.0002784251,3.101241e-7,7.908731e-7,0.000002447914,0.000001058657,0.9986873,0.0001446145,0.0008706207,0.00000871867,8.282068e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8426598,0.0001829436,0.1541616,0.0003900916,0.0000744185,0.00003297958,0.0001980346,0.000368621,0.001931559],"genre_scores_gemma":[0.996066,0.00002847513,0.003362473,0.000009015166,0.00001132256,0.000006520082,0.00005315098,0.00001257992,0.0004504921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005199722,"threshold_uncertainty_score":0.0103389,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888814465","doi":"10.1007/s11227-018-2572-6","title":"Multi-tenant intrusion detection system for public cloud (MTIDS)","year":2018,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal; École de Technologie Supérieure","funders":"","keywords":"Computer science; Cloud computing; Intrusion detection system; Intrusion prevention system; Computer security; Operating system","authors":[{"name":"Mohamed Hawedi","is_ca":true},{"name":"Chamseddine Talhi","is_ca":true},{"name":"Hanifa Boucheneb","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0311845848803633,"gpt":0.2480687843489743,"spread":0.216884199468611,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169715,0.0008149116,0.0008917166,0.001252842,0.0008120303,0.001187516,0.001333992,0.0004498795,0.002407245],"category_scores_gemma":[0.002217263,0.0002919479,0.0003840533,0.0005650282,0.0003427919,0.001576168,0.001448312,0.0008274166,0.0009235682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009663477,"about_ca_system_score_gemma":0.001823059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096183,"about_ca_topic_score_gemma":0.003872161,"domain_scores_codex":[0.9984927,0.000222374,0.0001548491,0.000352721,0.0005404511,0.0002369621],"domain_scores_gemma":[0.998041,0.0002198964,0.0002509292,0.0004924971,0.0005935663,0.000402169],"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":[0.006616239,0.00294286,0.1150226,0.0007355151,0.0008375352,0.001752566,0.001011078,0.02429597,0.1129831,0.008109704,0.1095874,0.6161054],"study_design_scores_gemma":[0.0004679099,0.002074068,0.03375035,0.00006784207,0.0003809753,0.001777289,0.0003616107,0.7826088,0.1321314,0.003763839,0.04244478,0.0001710583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6147569,0.002545358,0.1718844,0.001460479,0.001021882,0.001432814,0.004807354,0.1863593,0.01573148],"genre_scores_gemma":[0.9474213,0.0002432307,0.04517826,0.0003405091,0.00007423582,0.0001325295,0.002507962,0.0003036365,0.003798455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003096183,"threshold_uncertainty_score":0.008975506,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2896383989","doi":"10.1007/s11227-018-2653-6","title":"GPU parallelization of multigrid RANS solver for three-dimensional aerodynamic simulations on multiblock grids","year":2018,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Computational Fluid Dynamics and Aerodynamics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Bombardier (Canada); Polytechnique Montréal","funders":"","keywords":"Multigrid method; Computer science; Parallel computing; Solver; Computational science; CUDA; Reynolds-averaged Navier–Stokes equations; Smoothing; Finite volume method; Context (archaeology); Computational fluid dynamics; Nonlinear system","authors":[{"name":"Minh Tuấn Nguyễn","is_ca":true},{"name":"Patrice Castonguay","is_ca":true},{"name":"Éric Laurendeau","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01270840066271381,"gpt":0.2379001118671519,"spread":0.2251917112044381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002512582,0.0005897774,0.0006082495,0.0004524247,0.0006575631,0.0006030225,0.001284258,0.0005624678,0.009819984],"category_scores_gemma":[0.0009607766,0.0003345856,0.0005941273,0.0005344488,0.0002158072,0.0004558259,0.0005643424,0.0007695415,0.001312018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004027107,"about_ca_system_score_gemma":0.0009942183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235354,"about_ca_topic_score_gemma":0.01231773,"domain_scores_codex":[0.9997266,0.00004866366,0.0000169204,0.00003532788,0.0001234288,0.00004905286],"domain_scores_gemma":[0.9994426,0.0001069445,0.00002592877,0.000105688,0.0002662119,0.00005257768],"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":[0.001230982,0.0007396638,0.006877997,0.0003769336,0.0001982977,0.0008170526,0.0004640437,0.671407,0.1054873,0.01204844,0.02445654,0.1758957],"study_design_scores_gemma":[0.00003303703,0.00003480121,0.0006651474,0.000004019878,0.000006083716,0.00002492704,0.00001910739,0.9906413,0.006663217,0.000290093,0.001608973,0.000009364556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479924,0.0006303489,0.3749737,0.0007521078,0.0006368124,0.0002774063,0.00175037,0.01626491,0.05672199],"genre_scores_gemma":[0.788064,0.0001464253,0.1987992,0.0001351838,0.00004494961,0.0001649335,0.002004725,0.001521111,0.009119483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01235354,"threshold_uncertainty_score":0.0328511,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2000511619","doi":"10.1007/s11227-013-1027-3","title":"Advanced technologies and applications for Highly-Reliable Cyber Physical System (HRCPS)","year":2013,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Cyber-physical system; Computer security; Operating system","authors":[{"name":"Sang Oh Park","is_ca":false},{"name":"Bin Xiao","is_ca":false},{"name":"Victor C. M. Leung","is_ca":true},{"name":"Young‐Sik Jeong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004769148502051667,"gpt":0.197990679478497,"spread":0.1932215309764453,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004772564,0.0003758495,0.0002438066,0.0007251024,0.0003607493,0.001127181,0.000528961,0.0005442016,0.006285046],"category_scores_gemma":[0.0009706194,0.0001450562,0.0002229017,0.001397292,0.0005430116,0.001482856,0.0007626543,0.0006454167,0.00135927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004696655,"about_ca_system_score_gemma":0.0006607352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007319116,"about_ca_topic_score_gemma":0.000787059,"domain_scores_codex":[0.999808,0.00003113733,0.00001173182,0.00002399717,0.0000988696,0.00002629759],"domain_scores_gemma":[0.9993604,0.0001458953,0.00006188255,0.0001353151,0.0002344105,0.00006210011],"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":[0.0001462102,0.00009307436,0.003477515,0.0007851161,0.00004424783,0.0003838601,0.0002630136,0.05179541,0.03565956,0.2943391,0.03051062,0.5825023],"study_design_scores_gemma":[0.00004224928,0.0004527301,0.006337743,0.000346051,0.0001067113,0.0009592572,0.0004418624,0.2729747,0.03977602,0.274862,0.4036311,0.00006965052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1255623,0.06902637,0.6238538,0.01137626,0.003660758,0.0002867138,0.0006562493,0.004161691,0.1614158],"genre_scores_gemma":[0.831426,0.02870017,0.1211176,0.0004164742,0.0009013881,0.00009225198,0.0004172391,0.0001233537,0.01680565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006285046,"threshold_uncertainty_score":0.02102554,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2034014585","doi":"10.1007/s11227-011-0718-x","title":"Green computing and communications","year":2011,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Green IT and Sustainability","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science; Distributed computing; Telecommunications","authors":[{"name":"Samee U. Khan","is_ca":false},{"name":"Lizhe Wang","is_ca":false},{"name":"Laurence T. Yang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03232018699916013,"gpt":0.233890973435665,"spread":0.2015707864365049,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007990063,0.0004804889,0.0004358302,0.001256421,0.00156518,0.005031,0.0004572455,0.002872332,0.05523657],"category_scores_gemma":[0.002484353,0.0001941095,0.0002446829,0.002194328,0.002498649,0.003249038,0.001656691,0.00212811,0.0111117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002208079,"about_ca_system_score_gemma":0.002222385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471039,"about_ca_topic_score_gemma":0.006822025,"domain_scores_codex":[0.9993054,0.0001481179,0.00001885926,0.00008749215,0.0003594506,0.00008079063],"domain_scores_gemma":[0.9988012,0.000328566,0.00009234712,0.0002597001,0.0003898712,0.0001282481],"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":[0.00002415684,0.00003825225,0.0002711655,0.000114996,0.00001111668,0.00006686604,0.0001485113,0.0006651906,0.000601861,0.6685063,0.248815,0.08073664],"study_design_scores_gemma":[0.000003913104,0.00001946996,0.000469523,0.0001197879,0.000008164084,0.00008048661,0.0001737336,0.0009575977,0.0004142771,0.1540531,0.8436905,0.000009506998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.005374331,0.02018267,0.005935645,0.0512926,0.01112817,0.00003572006,0.0002037273,0.000165437,0.9056818],"genre_scores_gemma":[0.1381683,0.03193315,0.003743113,0.007706505,0.007880807,0.00005555675,0.0002560646,0.0001979893,0.8100585],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05523657,"threshold_uncertainty_score":0.1847848,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4378533280","doi":"10.1007/s11227-023-05378-x","title":"Local differentially private federated learning with homomorphic encryption","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Homomorphic encryption; Computer science; Differential privacy; Shuffling; MNIST database; Inference; Encryption; Reduction (mathematics); Federated learning; Data mining; Machine learning; Artificial intelligence; Theoretical computer science; Computer security; Deep learning","authors":[{"name":"Jianzhe Zhao","is_ca":false},{"name":"Chenxi Huang","is_ca":false},{"name":"Wenji Wang","is_ca":false},{"name":"Rulin Xie","is_ca":false},{"name":"Rongrong Dong","is_ca":false},{"name":"Stan Matwin","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0252148229056052,"gpt":0.2452658358440073,"spread":0.2200510129384021,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002929044,0.0004715329,0.001534747,0.0006342481,0.0009895863,0.002541685,0.001935817,0.001569401,0.003751471],"category_scores_gemma":[0.007841037,0.0003771515,0.0007347748,0.001174981,0.00176425,0.005298436,0.004660621,0.00229033,0.001275652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485614,"about_ca_system_score_gemma":0.002296938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003758096,"about_ca_topic_score_gemma":0.0003862478,"domain_scores_codex":[0.9964832,0.001121716,0.0002076538,0.0006217699,0.0009691752,0.0005964279],"domain_scores_gemma":[0.9926872,0.002347194,0.0004381929,0.0038124,0.0004850983,0.0002298735],"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":[0.002157958,0.0008455249,0.002645883,0.000316059,0.000182986,0.0004519474,0.000445211,0.2403412,0.01030425,0.4795212,0.009791531,0.2529962],"study_design_scores_gemma":[0.0001503869,0.0001900847,0.0003112622,0.00004051922,0.00003960767,0.0003848722,0.00006336136,0.6035224,0.01160589,0.3811017,0.002549227,0.00004067944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05258972,0.0003829256,0.9391714,0.0007948959,0.00009232098,0.00009680305,0.0003080543,0.001297777,0.00526601],"genre_scores_gemma":[0.9288862,0.0001413044,0.06528351,0.0002436648,0.00008552812,0.0001005627,0.0002097521,0.00005627363,0.0049932],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003751471,"threshold_uncertainty_score":0.01549047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1488661425","doi":"10.1023/a:1011179823237","title":"Improving A Solution's Quality Through Parallel Processing","year":2001,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Chaos-based Image/Signal Encryption","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Computer science","authors":[{"name":"Selim G. Akl","is_ca":true},{"name":"Stefan D. Bruda","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04406715998923561,"gpt":0.3002528029644518,"spread":0.2561856429752162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002223616,0.0008008239,0.0007237714,0.001369979,0.0009670799,0.002712637,0.0007451089,0.00114819,0.00648],"category_scores_gemma":[0.01451922,0.0004083832,0.0003562117,0.00146557,0.0005583314,0.002083314,0.001135465,0.001446057,0.0009828719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005968013,"about_ca_system_score_gemma":0.001167767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006239342,"about_ca_topic_score_gemma":0.0009568119,"domain_scores_codex":[0.9985934,0.0002861235,0.000096801,0.0001417553,0.0007661757,0.0001157593],"domain_scores_gemma":[0.9943873,0.002245941,0.000434982,0.001015737,0.001705322,0.0002108523],"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":[0.0009541572,0.0003437202,0.004538635,0.0003655996,0.0001227919,0.0003184163,0.0003435203,0.2279092,0.09762347,0.02488544,0.006205271,0.6363898],"study_design_scores_gemma":[0.0001163362,0.0002077123,0.0008064411,0.00003491857,0.00007234743,0.0002735,0.0001545788,0.9375894,0.03952378,0.01544169,0.005759809,0.00001946132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1454901,0.0004882267,0.835554,0.001320385,0.0003241046,0.0001096627,0.00007600059,0.002016388,0.01462115],"genre_scores_gemma":[0.4240458,0.0003764718,0.5711228,0.0001523941,0.0001268936,0.0000723561,0.000149707,0.0004706037,0.003483014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00648,"threshold_uncertainty_score":0.02167779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380590100","doi":"10.1007/s11227-023-05474-y","title":"A network anomaly detection algorithm based on semi-supervised learning and adaptive multiclass balancing","year":2023,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Dalhousie University","funders":"China Scholarship Council; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Computer science; Anomaly detection; Machine learning; Artificial intelligence; Data mining; Internet traffic; The Internet; Algorithm","authors":[{"name":"Hao Zhang","is_ca":false},{"name":"Zude Xiao","is_ca":false},{"name":"Jason Gu","is_ca":true},{"name":"Yanhua Liu","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01359575752609415,"gpt":0.2234610984885088,"spread":0.2098653409624146,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740086,0.0007098145,0.002080366,0.00131183,0.0009492293,0.001064982,0.002925828,0.001202333,0.001467815],"category_scores_gemma":[0.003453136,0.0004180454,0.0007398123,0.001079218,0.000543961,0.001715723,0.001291668,0.001827416,0.0006187659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007978814,"about_ca_system_score_gemma":0.001419057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004179588,"about_ca_topic_score_gemma":0.005087741,"domain_scores_codex":[0.9987125,0.0002331722,0.000089944,0.0003592115,0.0004866697,0.0001185152],"domain_scores_gemma":[0.9979284,0.0006203215,0.0002009122,0.0003028449,0.0008272678,0.0001202655],"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":[0.0004629489,0.0004541179,0.00296737,0.00005478621,0.0002163145,0.00006784662,0.00007690023,0.154063,0.01554447,0.004253668,0.004672567,0.817166],"study_design_scores_gemma":[0.00001418352,0.00002764974,0.0002802642,0.000001397432,0.000009822892,0.00002719406,0.000004627015,0.996551,0.001531285,0.001281733,0.0002640989,0.000006673126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01938655,0.0001219815,0.9780704,0.0001251023,0.00009256748,0.00005242317,0.00003333587,0.001692479,0.0004250396],"genre_scores_gemma":[0.4330268,0.0001017154,0.5627514,0.0001942559,0.0002029659,0.000185665,0.0003908407,0.00020759,0.002938807],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004179588,"threshold_uncertainty_score":0.00920254,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790511610","doi":"10.1007/s11227-018-2313-x","title":"The influence of textual and verbal word-of-mouth on website usability and visual appeal","year":2018,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University","funders":"","keywords":"Usability; Appeal; Word of mouth; Computer science; Perception; Web usability; World Wide Web; Human–computer interaction; Advertising; Psychology; Political science","authors":[{"name":"Milica Stojmenović","is_ca":true},{"name":"Robert Biddle","is_ca":true},{"name":"John Grundy","is_ca":false},{"name":"Vivienne Farrell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01247080338777228,"gpt":0.3010013188395673,"spread":0.288530515451795,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003621629,0.0004090951,0.000528427,0.0008948284,0.0006197696,0.004668613,0.0004776803,0.001161427,0.00685245],"category_scores_gemma":[0.09480775,0.0003207508,0.0007328888,0.0006360263,0.0008144667,0.001511465,0.0008882225,0.001373454,0.0008514025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748789,"about_ca_system_score_gemma":0.0005651009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003390197,"about_ca_topic_score_gemma":0.002606635,"domain_scores_codex":[0.9967637,0.001641902,0.0002570205,0.0003223901,0.0007423374,0.0002726704],"domain_scores_gemma":[0.8214223,0.1596411,0.007506438,0.001955687,0.006173079,0.003301395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02919806,0.006538976,0.8028626,0.00138955,0.001011432,0.001645315,0.01872359,0.001873881,0.05702342,0.001294694,0.001718376,0.07672013],"study_design_scores_gemma":[0.0002705154,0.003039141,0.9769991,0.000100632,0.0008063855,0.0005983303,0.0051965,0.006091926,0.005211084,0.0008573788,0.0007205787,0.0001083764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956914,0.0001435922,0.000133458,0.0000681855,0.00001937282,0.00002062031,0.00005273994,0.0000209299,0.003849807],"genre_scores_gemma":[0.9985208,0.00005286288,0.0002098258,0.00004295157,0.00002855331,0.00001707326,0.00005020839,0.00004591856,0.001031752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00685245,"threshold_uncertainty_score":0.02292371,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4297962057","doi":"10.1007/s11227-022-04834-4","title":"A Bayesian-based classification framework for financial time series trend prediction","year":2022,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Hyperparameter; Artificial intelligence; Machine learning; Sharpe ratio; Bayesian optimization; Metric (unit); Preprocessor; Bayesian probability; Time series; Performance metric; Deep learning; Finance; Portfolio","authors":[{"name":"Arsalan Dezhkam","is_ca":false},{"name":"Mohammad Taghi Manzuri","is_ca":false},{"name":"Ahmad Aghapour","is_ca":false},{"name":"Afshin Karimi","is_ca":false},{"name":"Ali Rabiee","is_ca":false},{"name":"Shervin Manzuri Shalmani","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09994368813030834,"gpt":0.3707152048949446,"spread":0.2707715167646362,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005124679,0.0007318377,0.001957132,0.002170843,0.0009053758,0.001946976,0.002773739,0.00194588,0.003436051],"category_scores_gemma":[0.01034777,0.0007480725,0.001473437,0.002053191,0.0007732515,0.002544644,0.001336291,0.002395985,0.001188629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302612,"about_ca_system_score_gemma":0.002366106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01792021,"about_ca_topic_score_gemma":0.01846881,"domain_scores_codex":[0.9982979,0.0006123006,0.0001463563,0.0002966715,0.0004720567,0.0001747565],"domain_scores_gemma":[0.9957135,0.002529468,0.0003222747,0.000237997,0.00104377,0.0001530858],"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":[0.0003211864,0.0004502743,0.003826072,0.0001675614,0.0002651726,0.00009652653,0.0001370018,0.458382,0.002216226,0.07560728,0.01025831,0.4482725],"study_design_scores_gemma":[0.00001054925,0.00001542352,0.000232049,0.00001169122,0.00001759234,0.000009121485,0.00000518662,0.98191,0.0001466198,0.01711585,0.0005168573,0.000009015217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007982709,0.0004934023,0.9895434,0.0004541893,0.00007281323,0.00003973234,0.0002122749,0.0003305629,0.0008708961],"genre_scores_gemma":[0.4688644,0.001513642,0.5155454,0.0007045738,0.0008537865,0.0004913141,0.002173236,0.0001846022,0.009669125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01792021,"threshold_uncertainty_score":0.03563184,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2578574048","doi":"10.1007/s11227-017-1960-7","title":"Implementing fuzzy rank function model for a new supply chain risk management","year":2017,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Supply chain risk management; Supply chain; Computer science; Risk analysis (engineering); Risk management; Supply chain management; Fuzzy logic; Outsourcing; Financial risk; Fuzzy set; Vulnerability (computing); Function (biology); Service management; Operations research; Business; Finance; Marketing; Computer security","authors":[{"name":"Ali Mostafaeipour","is_ca":false},{"name":"Mojtaba Qolipour","is_ca":false},{"name":"Hamidreza Eslami","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02397773957261045,"gpt":0.2582877369231619,"spread":0.2343099973505514,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002002883,0.0005734594,0.0008889045,0.000946892,0.0007500466,0.002120406,0.001290855,0.00101691,0.002722003],"category_scores_gemma":[0.002879568,0.0002596026,0.0009913344,0.0008885692,0.0005627978,0.002167004,0.0009701996,0.001086644,0.0002743728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583482,"about_ca_system_score_gemma":0.002032669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252332,"about_ca_topic_score_gemma":0.007236377,"domain_scores_codex":[0.9987499,0.0004080037,0.00007525783,0.0002128653,0.0003987085,0.000155333],"domain_scores_gemma":[0.9988182,0.0004319281,0.0001215013,0.0001014373,0.000451373,0.00007554157],"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":[0.0001255072,0.0001331126,0.001336658,0.00007738906,0.00008271322,0.00009163591,0.0001286347,0.8637773,0.002630581,0.05492065,0.001245938,0.07544985],"study_design_scores_gemma":[0.000003533574,0.00001652964,0.00008185823,0.00000248557,0.00001089208,0.000007024295,0.000009125064,0.9951015,0.000272943,0.004282441,0.0002051612,0.000006512551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02159827,0.0001049373,0.9760692,0.0001755522,0.00003071495,0.00003162453,0.00003408673,0.0001616244,0.001794024],"genre_scores_gemma":[0.8195535,0.0002026734,0.1741623,0.00007708843,0.00006267879,0.00009360735,0.0001101577,0.00003710299,0.005700898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01252332,"threshold_uncertainty_score":0.02490085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019020869","doi":"10.1007/s11227-011-0674-5","title":"Secure communication mechanism for ubiquitous Smart grid infrastructure","year":2011,"lang":"en","type":"article","venue":"The Journal of Supercomputing","topic":"Advanced Authentication Protocols Security","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Authentication (law); Computer security; Mobile device; Computer network; Smart grid; Trusted Platform Module; Default gateway; Scalability; Digital signature; Operating system","authors":[{"name":"Binod Vaidya","is_ca":true},{"name":"Dimitrios Makrakis","is_ca":true},{"name":"Hussein T. Mouftah","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02786160850852305,"gpt":0.2621968361261642,"spread":0.2343352276176411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687666,0.0004916284,0.0007303683,0.001138902,0.001902062,0.002431756,0.001457944,0.001444275,0.005074492],"category_scores_gemma":[0.003041722,0.0003262905,0.0004933404,0.000814026,0.001160922,0.003875199,0.004017959,0.001625836,0.001554502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000955751,"about_ca_system_score_gemma":0.001144881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007333408,"about_ca_topic_score_gemma":0.0004798607,"domain_scores_codex":[0.9977569,0.0004418608,0.000243971,0.0003555558,0.000721094,0.0004805574],"domain_scores_gemma":[0.9970503,0.0004110991,0.0004241904,0.001328134,0.0005845705,0.0002016914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001539112,0.0002728401,0.002670677,0.0003923266,0.0001449319,0.001737763,0.001762089,0.01920959,0.05460945,0.7547716,0.02064169,0.1422479],"study_design_scores_gemma":[0.0003693382,0.0009478816,0.002058138,0.0001820223,0.000356767,0.003197132,0.0009503078,0.489645,0.09570175,0.3078226,0.098492,0.0002771956],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09606282,0.0008651345,0.8755822,0.001448703,0.0006380121,0.0003744161,0.0002139293,0.005463161,0.01935161],"genre_scores_gemma":[0.954108,0.0002397465,0.03625476,0.0002250333,0.0001335318,0.0002148733,0.0001454399,0.00007921049,0.008599461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005074492,"threshold_uncertainty_score":0.01697588,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}