{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":12,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":12,"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":"dc4cca7465fc","filters":{"venue":"IETE Technical Review"}},"results":[{"id":"W2898214142","doi":"10.1080/02564602.2018.1531735","title":"A Coverless Information Hiding Algorithm Based on Grayscale Gradient Co-occurrence Matrix","year":2018,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Grayscale; Computer science; Information hiding; Encryption; Image (mathematics); Payload (computing); Binary number; Algorithm; Artificial intelligence; Binary image; Co-occurrence matrix; Pattern recognition (psychology); Computer vision; Image processing; Mathematics","authors":[{"name":"Jianbin Wu","is_ca":false},{"name":"Yiwen Liu","is_ca":false},{"name":"Zhenwei Dai","is_ca":true},{"name":"Ziyang Kang","is_ca":false},{"name":"Saman Rahbar","is_ca":true},{"name":"Yanke Jia","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01795293893534692,"gpt":0.3178299256193635,"spread":0.2998769866840165,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780039,0.0004451221,0.0005000572,0.0009584137,0.0003365396,0.0004585146,0.0004732733,0.0005004847,0.001189111],"category_scores_gemma":[0.0005891793,0.0001814041,0.0004171034,0.000778409,0.0004063795,0.001141533,0.0003827012,0.0005784759,0.000509314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003511492,"about_ca_system_score_gemma":0.000422614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251468,"about_ca_topic_score_gemma":0.001157145,"domain_scores_codex":[0.9997191,0.00002127075,0.00001470106,0.00005851508,0.0001625579,0.00002390632],"domain_scores_gemma":[0.9998007,0.00004793203,0.000030421,0.00003427911,0.00007547618,0.0000112795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002822055,0.00009859709,0.0008584723,0.0003506127,0.00007806675,0.0003619073,0.0001677682,0.03681038,0.2789893,0.02809834,0.002848953,0.6510554],"study_design_scores_gemma":[0.00004251175,0.0003095163,0.001787162,0.00003804171,0.00006522787,0.001752282,0.00004776434,0.7680359,0.205055,0.006426405,0.01634946,0.0000908933],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02082248,0.001036676,0.9749197,0.0001498062,0.0001629351,0.00007892497,0.00007235666,0.0006758563,0.002081204],"genre_scores_gemma":[0.3617792,0.001661917,0.6270097,0.0001339263,0.0001335083,0.0001275465,0.0002902522,0.00007815244,0.008785884],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001251468,"threshold_uncertainty_score":0.003977954,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2241496047","doi":"10.4103/0256-4602.105007","title":"Review of challenges, requirements, and approaches of pervasive computing system evaluation","year":2012,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science; Ubiquitous computing; Context-aware pervasive systems; Systems engineering; Computer security; Human–computer interaction; Engineering","authors":[{"name":"Bessam Abdulrazak","is_ca":true},{"name":"Yasir Malik","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2534390668900566,"gpt":0.3561361025337096,"spread":0.102697035643653,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06876821,0.001225709,0.002251533,0.01054113,0.001937775,0.01001828,0.00339035,0.002903928,0.001371738],"category_scores_gemma":[0.08378442,0.001065422,0.001135004,0.008052803,0.004374431,0.01000084,0.003265906,0.003281841,0.0007959377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007426302,"about_ca_system_score_gemma":0.01601277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004871272,"about_ca_topic_score_gemma":0.005588411,"domain_scores_codex":[0.9322311,0.03399609,0.008543516,0.002022521,0.02220318,0.001003574],"domain_scores_gemma":[0.8760365,0.08682249,0.003971991,0.003656231,0.02856762,0.0009452417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007111705,0.0001687878,0.002680655,0.0150792,0.0001397052,0.0002247369,0.002257895,0.004855158,0.001537248,0.1918351,0.01347668,0.7676737],"study_design_scores_gemma":[0.00005881469,0.0005464531,0.007589247,0.05473159,0.0005079576,0.001729505,0.01062293,0.02211379,0.004636847,0.2571868,0.639924,0.0003520743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.009231637,0.6989385,0.1808414,0.05996732,0.001205294,0.001076684,0.000251155,0.0003574664,0.04813056],"genre_scores_gemma":[0.1406018,0.5687826,0.2782656,0.004989287,0.001283135,0.001828564,0.0002486758,0.0001621926,0.003838198],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06876821,"threshold_uncertainty_score":0.3636854,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4406043396","doi":"10.1080/02564602.2024.2445513","title":"Shaping the Future of Logistics: Data-driven Technology Approaches and Strategic Management","year":2025,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Information Technology Research Centre; Ministry of Science and ICT, South Korea; Ministry of Education, Science and Technology; National Research Foundation of Korea","keywords":"Humanitarian Logistics; Scarcity; Sustainability; Process management; Business; Personalization; Supply chain; Computer science; Resource efficiency; Globalization; Supply chain management; Risk analysis (engineering); Marketing","authors":[{"name":"Hoa Tran‐Dang","is_ca":false},{"name":"Jae-Woo Kim","is_ca":false},{"name":"Jae‐Min Lee","is_ca":false},{"name":"Dong‐Seong Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1149202546150623,"gpt":0.3036903773564994,"spread":0.1887701227414371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005913942,0.001234385,0.0007623534,0.004949813,0.001501234,0.01440279,0.002321606,0.003529323,0.002691243],"category_scores_gemma":[0.004688124,0.0005682909,0.0009858158,0.005499217,0.0112646,0.01564894,0.004264466,0.004420117,0.000673598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009266932,"about_ca_system_score_gemma":0.008285233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005027114,"about_ca_topic_score_gemma":0.006265079,"domain_scores_codex":[0.9966196,0.001693752,0.0001634559,0.0002142721,0.001019493,0.0002894184],"domain_scores_gemma":[0.9951402,0.00319187,0.000418001,0.0003851788,0.0006051613,0.0002595719],"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":[0.000004969845,0.00003534223,0.0003506161,0.0003043297,0.00002250557,0.00007845287,0.0004482368,0.008522805,0.0001699705,0.9510706,0.002142646,0.03684951],"study_design_scores_gemma":[0.000007245309,0.00003714436,0.0003438649,0.0008600983,0.00001653104,0.00009995556,0.00199502,0.01729669,0.0004433752,0.882211,0.09664583,0.00004334224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01825288,0.09337804,0.5229368,0.1223808,0.001481603,0.0003118951,0.0002760616,0.0002538863,0.2407281],"genre_scores_gemma":[0.5540978,0.191585,0.2276399,0.008073758,0.00159012,0.0005714122,0.0003805998,0.0001303892,0.01593102],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01440279,"threshold_uncertainty_score":0.0672366,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2915472881","doi":"10.1080/02564602.2019.1576550","title":"Mobile Phone based ensemble classification of Deep Learned Feature for Medical Image Analysis","year":2019,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Pooling; Artificial intelligence; Pattern recognition (psychology); Convolutional neural network; Feature selection; Feature extraction; Medical diagnosis; Classifier (UML); Normalization (sociology); Deep learning; Feature (linguistics); Ensemble learning; Data mining","authors":[{"name":"Tamarafinide V. Dittimi","is_ca":true},{"name":"Ching Y. Suen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03270225887286166,"gpt":0.3843687257886274,"spread":0.3516664669157657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004822499,0.0005373878,0.0004464673,0.0007841297,0.0001097477,0.0003577871,0.0005290635,0.0005596173,0.002029879],"category_scores_gemma":[0.0009473861,0.0001624889,0.0004761288,0.000524989,0.00009135756,0.0005028093,0.0003940058,0.0004335445,0.001028468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003233067,"about_ca_system_score_gemma":0.0002414206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001431074,"about_ca_topic_score_gemma":0.002790095,"domain_scores_codex":[0.999774,0.0000284436,0.00001232783,0.00006835072,0.00008837483,0.00002845222],"domain_scores_gemma":[0.9996632,0.00009973491,0.00002220904,0.00003875414,0.0001608519,0.0000152954],"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":[0.0002638363,0.0001284594,0.004235034,0.0001123899,0.0001114283,0.0001647257,0.00004513595,0.03593073,0.03915593,0.001154693,0.004552077,0.9141457],"study_design_scores_gemma":[0.00001313011,0.0002686928,0.004715596,0.00002502145,0.00009938507,0.0003344249,0.00003029143,0.934399,0.05190067,0.001228351,0.006959456,0.00002600209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09962682,0.00179707,0.889926,0.0002705723,0.0002303432,0.0001153903,0.0005324527,0.003347898,0.004153379],"genre_scores_gemma":[0.7216997,0.0009851645,0.2657531,0.0002233942,0.0001106734,0.0001267999,0.001266976,0.00008995309,0.009744233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002029879,"threshold_uncertainty_score":0.006790578,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2095761688","doi":"10.4103/0256-4602.55278","title":"An Architecture for Interoperability of Embedded Systems and Virtual Reality","year":2009,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Guelph","keywords":"Computer science; Interoperability; Architecture; Virtual reality; Computer architecture; Human–computer interaction; Embedded system; Operating system; Art","authors":[{"name":"Veit Köppen","is_ca":false},{"name":"Norbert Siegmund","is_ca":false},{"name":"Michael Soffner","is_ca":false},{"name":"Gunter Saake","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06124131252133626,"gpt":0.3805518009329285,"spread":0.3193104884115922,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003262719,0.0007396449,0.0006173086,0.001511582,0.001074168,0.004292245,0.002282999,0.002656811,0.002645458],"category_scores_gemma":[0.00354479,0.0007714657,0.001216031,0.001296348,0.002346199,0.004625971,0.004716193,0.002598692,0.001566394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712528,"about_ca_system_score_gemma":0.002905522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002894282,"about_ca_topic_score_gemma":0.001832982,"domain_scores_codex":[0.9972696,0.0007924653,0.0002949049,0.0003515866,0.001002482,0.0002889181],"domain_scores_gemma":[0.9984093,0.000303029,0.0001268793,0.0005345697,0.0004808199,0.000145403],"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":[0.00003734085,0.0000663078,0.0004033977,0.0001937474,0.00007219305,0.0002806869,0.0006038558,0.01917195,0.008425028,0.8867282,0.00285786,0.08115955],"study_design_scores_gemma":[0.00008873117,0.0002620837,0.001322687,0.0004204674,0.0001910207,0.00116832,0.0003306934,0.2012764,0.01319163,0.4741175,0.3075042,0.0001263368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00502011,0.0009121773,0.9740736,0.001044131,0.0001384944,0.0001202767,0.00003237624,0.001352458,0.0173063],"genre_scores_gemma":[0.1696668,0.002226924,0.8102639,0.0004556615,0.0001837452,0.0004904027,0.0003675999,0.0002591652,0.01608572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004292245,"threshold_uncertainty_score":0.01725507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2067265533","doi":"10.1080/02564602.2014.892760","title":"Designing Home Security and Monitoring System Based on Field Programmable Gate Array*","year":2014,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Gate array; Field-programmable gate array; Field (mathematics); Embedded system; Electrical engineering; Security system; Computer hardware; Telecommunications; Computer security; Engineering","authors":[{"name":"Mansour H. Assaf","is_ca":false},{"name":"Ronald Mootoo","is_ca":false},{"name":"Sunil R. Das","is_ca":true},{"name":"Emil M. Petriu","is_ca":true},{"name":"Voicu Groza","is_ca":true},{"name":"Satyendra N. Biswas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009995194424146807,"gpt":0.23363118918847,"spread":0.2236359947643232,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001137935,0.0002088885,0.0001841396,0.0002295724,0.0001848757,0.0002874298,0.0003791179,0.0001935296,0.002914916],"category_scores_gemma":[0.0001395299,0.00008694596,0.0001221406,0.0001372015,0.00009489996,0.0002635577,0.0001357082,0.0001359995,0.0004658361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646184,"about_ca_system_score_gemma":0.0001894535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007810858,"about_ca_topic_score_gemma":0.0007421463,"domain_scores_codex":[0.9998733,0.00002041852,0.00000645485,0.00002792097,0.00004610793,0.00002581987],"domain_scores_gemma":[0.9999158,0.00001528905,0.00001225719,0.00000879703,0.00003764546,0.00001007102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005742895,0.0002622401,0.007798372,0.0003665062,0.00009405622,0.001461983,0.0003956144,0.01334666,0.7007667,0.006374349,0.01261073,0.2559485],"study_design_scores_gemma":[0.0003295321,0.002381464,0.01389143,0.0000837718,0.0002190479,0.002720844,0.0001897842,0.3354691,0.5703151,0.001532001,0.07277086,0.00009709992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4052861,0.000698768,0.5511217,0.0004812465,0.000419667,0.0004701259,0.000204397,0.01218037,0.02913755],"genre_scores_gemma":[0.9326195,0.0001294799,0.05879944,0.0001541291,0.00002876363,0.00007070029,0.0001040308,0.00004597108,0.00804795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002914916,"threshold_uncertainty_score":0.00975132,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2896989099","doi":"10.1080/02564602.2018.1531734","title":"Efficient Fully Homomorphic Encryption with Large Plaintext Space","year":2018,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"National Development and Reform Commission; National Youth Foundation of China; National Natural Science Foundation of China","keywords":"Computer science; Homomorphic encryption; Plaintext; Encryption; Computer security","authors":[{"name":"Ningbo Li","is_ca":false},{"name":"Tanping Zhou","is_ca":false},{"name":"Xiaoyuan Yang","is_ca":false},{"name":"Yiliang Han","is_ca":false},{"name":"Yujuan Sun","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01122547286693772,"gpt":0.2624664076583298,"spread":0.2512409347913921,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009246455,0.000383393,0.0005898828,0.0005748741,0.0003081042,0.001359914,0.000795822,0.00057391,0.001559679],"category_scores_gemma":[0.001629545,0.000318841,0.0004706099,0.0009960803,0.0008220369,0.004178497,0.001385916,0.001270903,0.000812086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005310957,"about_ca_system_score_gemma":0.0008177103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002067881,"about_ca_topic_score_gemma":0.0001573768,"domain_scores_codex":[0.9984142,0.0004063065,0.0001023831,0.0001875171,0.0007337182,0.0001558618],"domain_scores_gemma":[0.9990213,0.0003075717,0.0001029033,0.0003999075,0.0001459626,0.00002226118],"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":[0.0002336005,0.0001480947,0.0005191914,0.0007270997,0.00007691271,0.0004112727,0.0002148888,0.04220978,0.05079076,0.5140535,0.007791648,0.3828233],"study_design_scores_gemma":[0.000182824,0.0004050576,0.00115329,0.000220778,0.00007683604,0.002133039,0.00009769496,0.4675358,0.1085262,0.3153313,0.1042074,0.0001298136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03407476,0.0121829,0.9384867,0.000856011,0.0001365163,0.0001251534,0.0001400655,0.0006258776,0.01337197],"genre_scores_gemma":[0.6645952,0.01551098,0.3068735,0.0004081685,0.0003820099,0.000229241,0.0004218065,0.0001068484,0.01147228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001559679,"threshold_uncertainty_score":0.005217612,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2789299613","doi":"10.1080/02564602.2017.1346488","title":"Joint TAS and Power Allocation for Multiuser M2M Cooperative Networks","year":2018,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"Natural Science Foundation of Shandong Province; China Postdoctoral Science Foundation; Postdoctoral Innovation Project of Shandong Province; National Natural Science Foundation of China","keywords":"Nakagami distribution; Computer science; Fading; Joint (building); Transmitter power output; Selection (genetic algorithm); Monte Carlo method; Outage probability; Power (physics); Multiuser detection; Antenna (radio); Telecommunications; Computer network; Mathematical optimization; Statistics; Mathematics; Code division multiple access; Channel (broadcasting); Physics; Engineering; Transmitter; Artificial intelligence","authors":[{"name":"Lingwei Xu","is_ca":false},{"name":"Jingjing Wang","is_ca":false},{"name":"Yun Liu","is_ca":false},{"name":"Ye Li","is_ca":false},{"name":"T. Aaron Gulliver","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05932971735309451,"gpt":0.3353466693311436,"spread":0.2760169519780491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267039,0.0004138809,0.0004274859,0.0002908974,0.0003238218,0.0008572874,0.0005507909,0.0006580063,0.000709381],"category_scores_gemma":[0.003391671,0.0002188574,0.0002580138,0.0006501792,0.0007456388,0.0008106205,0.0006832428,0.0003978955,0.0001334511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000832566,"about_ca_system_score_gemma":0.0005329555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007777495,"about_ca_topic_score_gemma":0.00123564,"domain_scores_codex":[0.9993679,0.0002956395,0.00001950157,0.00005923786,0.0002022688,0.00005536144],"domain_scores_gemma":[0.9988298,0.0008222305,0.0001342779,0.0000897104,0.0001046193,0.00001928391],"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":[0.00006867918,0.00002655701,0.0009415048,0.0001885682,0.00007077115,0.000220878,0.0001577555,0.7786448,0.006535446,0.132224,0.001183782,0.0797373],"study_design_scores_gemma":[0.000007414128,0.00008464105,0.0003544225,0.00001989996,0.00002539079,0.0001234091,0.00003426598,0.9521153,0.002251458,0.04254102,0.002430064,0.00001270549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04819768,0.00375478,0.9416413,0.0003071273,0.00004609474,0.00002001087,0.00003488092,0.0001225457,0.005875556],"genre_scores_gemma":[0.9655042,0.001971407,0.03065885,0.00006474383,0.0000595958,0.00003665625,0.00001648564,0.00001475236,0.001673358],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001267039,"threshold_uncertainty_score":0.006700873,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2524056505","doi":"10.1080/02564602.2005.11657917","title":"Role of ICT for Competitiveness: Learning from the Case of Software Industry in India","year":2005,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Global Trade and Competitiveness","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"University of Toronto; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Corporation; Information and Communications Technology; Business; Management; Marketing; Political science; Economics","authors":[{"name":"Kirankumar S. Momaya","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02436120500125062,"gpt":0.2693649845046416,"spread":0.2450037795033909,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001788624,0.0004816904,0.0002949031,0.001733043,0.01086059,0.01203167,0.002160839,0.002965805,0.006181215],"category_scores_gemma":[0.002626817,0.0002503156,0.0006113391,0.002716278,0.00802888,0.004417734,0.007098549,0.003377264,0.0007917454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01191803,"about_ca_system_score_gemma":0.007837057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04051417,"about_ca_topic_score_gemma":0.07217804,"domain_scores_codex":[0.9972747,0.001272623,0.00004805325,0.0001362615,0.00032423,0.000944174],"domain_scores_gemma":[0.9963722,0.002081141,0.0002471686,0.00011959,0.0004091137,0.0007708112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001911206,0.0007172544,0.03199245,0.0006713832,0.00004367263,0.04431121,0.5372186,0.007344853,0.00178956,0.2923581,0.02644253,0.05691927],"study_design_scores_gemma":[0.00001535375,0.00007183324,0.008480845,0.0003946293,0.00002444418,0.001276139,0.8841594,0.002967553,0.0008131856,0.01433329,0.08741696,0.00004638903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7633588,0.0008557409,0.002029084,0.02355854,0.0001015068,0.00006207541,0.00008572471,0.00004257573,0.2099061],"genre_scores_gemma":[0.9914336,0.0007383341,0.0006522555,0.0006146118,0.00002149846,0.00001694625,0.00004055841,0.00001769711,0.006464431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04051417,"threshold_uncertainty_score":0.08647174,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4387404654","doi":"10.1080/02564602.2023.2258490","title":"Performance Analysis of a Multicore Approach Proposed for Efficient Community Detection and Recommendation System","year":2023,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Carter G. Woodson Institute for African-American and African Studies, University of Virginia; Grantová Agentura České Republiky; Workplace Safety and Insurance Board","keywords":"Computer science; Multi-core processor; Computer architecture; Parallel computing","authors":[{"name":"Dipika Singh","is_ca":false},{"name":"Rakhi Garg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0432048549251967,"gpt":0.3222771678058349,"spread":0.2790723128806382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001221433,0.0006550109,0.0006890928,0.0009860402,0.001105911,0.000974632,0.001561282,0.0007778284,0.002763451],"category_scores_gemma":[0.002630418,0.0003081039,0.0005770518,0.00136266,0.0002600934,0.001486239,0.0005534113,0.0005407798,0.0006508506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338512,"about_ca_system_score_gemma":0.002551198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143098,"about_ca_topic_score_gemma":0.02440506,"domain_scores_codex":[0.9988216,0.0001654113,0.00006476944,0.0002768269,0.0004410626,0.0002303639],"domain_scores_gemma":[0.9981073,0.0003774075,0.0001031231,0.0003146366,0.0009675974,0.0001298828],"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":[0.001689633,0.001054478,0.01955246,0.0006117747,0.0005097486,0.0003143526,0.0001702998,0.2331199,0.04623023,0.006383106,0.01828611,0.6720778],"study_design_scores_gemma":[0.00006561769,0.0002785529,0.003292638,0.000009812489,0.00007557104,0.0001197735,0.00004662755,0.981303,0.01077257,0.001056804,0.002959947,0.00001904477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4703447,0.003966154,0.4898317,0.001052582,0.0004481146,0.0006355287,0.001180216,0.01069627,0.02184474],"genre_scores_gemma":[0.7595817,0.0006859823,0.2315788,0.0002196313,0.00006194063,0.0002568869,0.001066815,0.00008839917,0.006459837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02143098,"threshold_uncertainty_score":0.04261243,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2061275048","doi":"10.1080/02564602.2003.11417089","title":"Advance Resource Reservation in High Speed Communication Networks: A Survey","year":2003,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Reservation; Telecommunications; Quality of service; Telecommunications engineering; Service (business); Resource (disambiguation); Engineering; Engineering management; Computer science; Business; Computer network","authors":[{"name":"Abhinav Mathur","is_ca":false},{"name":"Soummya Kar","is_ca":false},{"name":"Himank Gupta","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02562935249044963,"gpt":0.2801315707398115,"spread":0.2545022182493619,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017676,0.0006815916,0.0007976415,0.002065725,0.0005023578,0.001920964,0.001371864,0.001197371,0.003171588],"category_scores_gemma":[0.0014117,0.0005224409,0.0004157624,0.005352242,0.0003671565,0.002766625,0.0006493794,0.001029982,0.00107111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006495214,"about_ca_system_score_gemma":0.0008282377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00132565,"about_ca_topic_score_gemma":0.0007594734,"domain_scores_codex":[0.9990232,0.0001662921,0.0001079308,0.0001618018,0.0004576507,0.00008317177],"domain_scores_gemma":[0.9987998,0.0006791629,0.0001025031,0.0000838183,0.0002803025,0.00005443684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001449909,0.0001364868,0.00143955,0.004295888,0.00006461589,0.000247301,0.0001748714,0.0134528,0.002684257,0.01858736,0.01199385,0.9467781],"study_design_scores_gemma":[0.00004574602,0.0004229026,0.00336996,0.002764546,0.0001303848,0.002571109,0.000423945,0.05960296,0.006444779,0.02318545,0.9009264,0.0001119615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008468,0.9152658,0.05767677,0.0008789495,0.0005766029,0.00006367235,0.0001248131,0.0002188884,0.01672647],"genre_scores_gemma":[0.08818547,0.8710479,0.03083392,0.0005096442,0.001245065,0.0001054742,0.0005066229,0.00006047847,0.007505396],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003171588,"threshold_uncertainty_score":0.01061004,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4412078816","doi":"10.1080/02564602.2025.2522079","title":"0.35 µm CNTFET for Multi-band Low Noise Amplifier","year":2025,"lang":"en","type":"article","venue":"IETE Technical Review","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; Low-noise amplifier; Noise (video); Amplifier; Telecommunications; Electrical engineering; Carbon nanotube field-effect transistor; Optoelectronics; Materials science; Bandwidth (computing); Transistor; Engineering; Artificial intelligence","authors":[{"name":"M. S. Alam","is_ca":false},{"name":"A. Mukherjee","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04079980750582474,"gpt":0.3388314504497113,"spread":0.2980316429438866,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115929,0.0002469838,0.0001600298,0.0002106449,0.0001595528,0.0003345135,0.0004779707,0.0006939449,0.0008717115],"category_scores_gemma":[0.0001713469,0.0001104776,0.0001666852,0.0001923172,0.0001259967,0.000371412,0.0001171757,0.0002230903,0.0007184815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792827,"about_ca_system_score_gemma":0.0002157214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005694535,"about_ca_topic_score_gemma":0.001986397,"domain_scores_codex":[0.9998981,0.000006489328,0.000004188039,0.00003191151,0.0000487428,0.00001062756],"domain_scores_gemma":[0.9999321,0.00001432743,0.00001262945,0.000004106521,0.00003020335,0.000006703011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003171235,0.00001953039,0.0002938073,0.0002182937,0.000009691135,0.0002413308,0.00002869399,0.0007475411,0.9658002,0.00442337,0.0008489024,0.02733711],"study_design_scores_gemma":[0.00001809602,0.0006451444,0.002232129,0.0001099432,0.00007396782,0.001675833,0.00005005582,0.03526501,0.8673866,0.00174177,0.09076162,0.00003975701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4914818,0.08534919,0.354023,0.002507347,0.00324072,0.0003694051,0.0009015045,0.001186271,0.06094074],"genre_scores_gemma":[0.8249702,0.01583279,0.1279354,0.0004379571,0.0002474626,0.0001172483,0.0001876219,0.0000495096,0.03022172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008717115,"threshold_uncertainty_score":0.002916157,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}