{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1199,"total_is_capped":false,"direct_labels_cover":5,"predictions_cover":1199,"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":"295fd28755bd","filters":{"venue":"Ingénierie des systèmes d information"}},"results":[{"id":"W4386686383","doi":"10.18280/isi.280417","title":"Developing an Information Model for E-Commerce Platforms: A Study on Modern Socio-Economic Systems in the Context of Global Digitalization and Legal Compliance","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Digitalization and Economic Development in Agriculture","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Context (archaeology); E-commerce; Business; Information system; Knowledge management; Computer science; Internet privacy; Political science; World Wide Web; Law; Geography; Psychology","authors":[{"name":"Farouq Ahmad Faleh Alazzam","is_ca":false},{"name":"Hisham Jadallah Mansour Shakhatreh","is_ca":false},{"name":"Zaid Ibrahim Yousef Gharaibeh","is_ca":false},{"name":"Iryna Didiuk","is_ca":false},{"name":"Oleksandr Sylkin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05068418730259738,"gpt":0.2607916466659683,"spread":0.2101074593633709,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032452,0.0005068057,0.0005315289,0.003547372,0.001953267,0.006668884,0.00130764,0.001963497,0.003030273],"category_scores_gemma":[0.007489678,0.000349114,0.001146561,0.004168388,0.00381108,0.01017375,0.00228614,0.001467857,0.0005185943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004615339,"about_ca_system_score_gemma":0.004067475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009132633,"about_ca_topic_score_gemma":0.006095632,"domain_scores_codex":[0.9978628,0.00108078,0.0001261638,0.0002570268,0.0005188995,0.0001543405],"domain_scores_gemma":[0.9956643,0.002799084,0.0004632015,0.0004478094,0.0004633429,0.0001621776],"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":[0.000007522419,0.00003891751,0.001366907,0.00005020489,0.000009753876,0.0001109024,0.0009242666,0.02103216,0.0002329541,0.96794,0.000432816,0.007853686],"study_design_scores_gemma":[0.00001373468,0.00006643005,0.001637435,0.0001983846,0.0000275901,0.0001939264,0.002374921,0.257264,0.0004724361,0.7083715,0.02933816,0.00004142713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1350861,0.001428175,0.7654039,0.01103782,0.0001093014,0.0003669353,0.0005149844,0.0001681203,0.08588465],"genre_scores_gemma":[0.8092613,0.001586946,0.1823376,0.0002809744,0.00005785426,0.0003985364,0.000395519,0.00006184575,0.005619259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009132633,"threshold_uncertainty_score":0.03348678,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3090326096","doi":"10.18280/isi.250402","title":"Classification of Alzheimer's Disease MRI Images with CNN Based Hybrid Method","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Disease; Artificial intelligence; Computer science; Medicine; Pattern recognition (psychology); Computer vision; Pathology","authors":[{"name":"Muhammed Yıldırım","is_ca":false},{"name":"Ahmet Çınar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03968429639135796,"gpt":0.2692713577329974,"spread":0.2295870613416395,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000435162,0.0009743497,0.000549957,0.001775827,0.0001994758,0.0006438884,0.000692351,0.0007391713,0.001176786],"category_scores_gemma":[0.0007147746,0.0002805213,0.0008159793,0.0008041717,0.000177014,0.0006016401,0.0003759398,0.0003937394,0.0005506673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005887948,"about_ca_system_score_gemma":0.0004087234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009046479,"about_ca_topic_score_gemma":0.01100472,"domain_scores_codex":[0.9997604,0.00002709477,0.0000184777,0.00007017742,0.00006903903,0.00005475393],"domain_scores_gemma":[0.9998217,0.0000280738,0.00002409542,0.00002122216,0.00009125888,0.00001362443],"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":[0.0006980487,0.0003653778,0.01711483,0.0003394891,0.0006210398,0.0006114627,0.0001305726,0.1258665,0.08902481,0.0016807,0.009122868,0.7544243],"study_design_scores_gemma":[0.00001297497,0.000130035,0.009171402,0.00003432457,0.0001189014,0.0003446062,0.00004339996,0.9670531,0.02037121,0.0006712011,0.002021516,0.00002743314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4719816,0.005947664,0.5048673,0.0006631372,0.0004966391,0.0003571482,0.00228189,0.004231866,0.009172684],"genre_scores_gemma":[0.841751,0.001591248,0.1454704,0.000229055,0.0001707732,0.0001524025,0.002430335,0.00009327832,0.00811153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009046479,"threshold_uncertainty_score":0.01798761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2959013365","doi":"10.18280/isi.240119","title":"Sentiment Analysis from Movie Reviews Using LSTMs","year":2019,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Sentiment Analysis and Opinion Mining","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Computer science; Natural language processing; Artificial intelligence; Information retrieval","authors":[{"name":"Jyostna Devi Bodapati","is_ca":false},{"name":"N. Veeranjaneyulu","is_ca":false},{"name":"Nagur Shareef Shaik","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04026820360881078,"gpt":0.2761655489065912,"spread":0.2358973452977804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462159,0.0007636451,0.000448851,0.0007839096,0.0001615919,0.0004253135,0.0003481965,0.0004696865,0.001738813],"category_scores_gemma":[0.002001449,0.0002202245,0.0005251657,0.0006633163,0.000113353,0.0004927365,0.000267739,0.0006068962,0.001198606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003699224,"about_ca_system_score_gemma":0.0002896763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003279543,"about_ca_topic_score_gemma":0.004132106,"domain_scores_codex":[0.9997496,0.00005260427,0.00002077437,0.00005430486,0.00008355785,0.00003919322],"domain_scores_gemma":[0.9994581,0.0001427138,0.00008062179,0.00002492521,0.0002724509,0.00002111014],"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":[0.0009492338,0.0002844979,0.01015845,0.000434685,0.000318374,0.0008569522,0.0003342914,0.1141975,0.1298861,0.001553204,0.01851663,0.72251],"study_design_scores_gemma":[0.00001630236,0.00012343,0.005575288,0.00002067242,0.00003656118,0.00007774559,0.00006445594,0.9793469,0.01103648,0.001097002,0.002587592,0.00001749343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5011044,0.003185158,0.4748262,0.001211916,0.0009166155,0.0002514141,0.003349507,0.005262322,0.009892534],"genre_scores_gemma":[0.9136158,0.0007863674,0.07570034,0.0002064622,0.000322181,0.0001219594,0.003491536,0.0001361255,0.00561922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003279543,"threshold_uncertainty_score":0.006520867,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386625561","doi":"10.18280/isi.280426","title":"Enhanced Speckle Noise Reduction in Breast Cancer Ultrasound Imagery Using a Hybrid Deep Learning Model","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":53,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Speckle noise; Ultrasound; Noise reduction; Noise (video); Breast cancer; Reduction (mathematics); Speckle pattern; Computer science; Artificial intelligence; Medicine; Cancer; Radiology; Internal medicine; Image (mathematics); Mathematics","authors":[{"name":"N. V. Rajasekhar Reddy","is_ca":false},{"name":"Chengamma Chitteti","is_ca":false},{"name":"Sreeraman Yesupadam","is_ca":false},{"name":"Venkata Subbaiah Desanamukula","is_ca":false},{"name":"Sai Srinivas Vellela","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01982247873710845,"gpt":0.2703413217672067,"spread":0.2505188430300982,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003106052,0.0005293294,0.0004133271,0.0003556157,0.0001576341,0.0004394666,0.000760012,0.0006345324,0.0008567362],"category_scores_gemma":[0.0006115877,0.0002052027,0.0005507796,0.0003177429,0.0002433867,0.0004352613,0.0003989188,0.0005121778,0.0002134117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005380281,"about_ca_system_score_gemma":0.0007134852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408182,"about_ca_topic_score_gemma":0.0139326,"domain_scores_codex":[0.9999063,0.00001473564,0.000004310181,0.00002679653,0.00002865334,0.00001922559],"domain_scores_gemma":[0.9998844,0.00003971094,0.00001257262,0.000008562765,0.00004695359,0.000007816208],"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":[0.00006993519,0.00005641815,0.001273256,0.00004655756,0.00004126578,0.00006504549,0.00003131703,0.9106312,0.006929083,0.001078475,0.001078751,0.07869869],"study_design_scores_gemma":[0.000001232811,0.000009612943,0.0001006986,0.000002223264,0.000004366023,0.000006376781,0.000001487934,0.999116,0.0005000243,0.0001494881,0.0001065483,0.000001911862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2103196,0.001519989,0.7795749,0.0006857605,0.0001347942,0.00004618409,0.0002290963,0.001465149,0.006024444],"genre_scores_gemma":[0.9209316,0.0004988175,0.0715171,0.0003424764,0.0000406964,0.00006167599,0.0003734875,0.00006302935,0.006171183],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01408182,"threshold_uncertainty_score":0.02799976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4296887679","doi":"10.18280/isi.270411","title":"The Role of Digital Technologies in the Transformation of Regional Models of Households’ Financial Behavior in the Conditions of the National Innovative Economy Development","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Ministry of Education and Science of Ukraine","keywords":"Index (typography); Econometric model; Digitization; Financial market; Economics; Financial services; Economic system; Business; Finance; Econometrics; Computer science","authors":[{"name":"Артур Жаворонок","is_ca":false},{"name":"Olha Popelo","is_ca":false},{"name":"Роман Щур","is_ca":false},{"name":"Natalia Ostrovska","is_ca":false},{"name":"Натела Кордзая","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03343321419107948,"gpt":0.2230346345868005,"spread":0.189601420395721,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000548273,0.0001302776,0.0001622793,0.0004888146,0.000312457,0.001293782,0.0002971635,0.0002465549,0.001998589],"category_scores_gemma":[0.002760989,0.0001282174,0.000414766,0.0005377882,0.000815872,0.001217547,0.000822234,0.0004020793,0.0001440413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649654,"about_ca_system_score_gemma":0.0007130805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009638681,"about_ca_topic_score_gemma":0.006117517,"domain_scores_codex":[0.9996915,0.0001621736,0.00001162614,0.00003973734,0.00003805874,0.00005697585],"domain_scores_gemma":[0.9993476,0.0003197271,0.000170105,0.00006062597,0.00006434193,0.00003760032],"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":[0.0001890117,0.0001674062,0.1410058,0.0001490735,0.0001432948,0.001275553,0.004793658,0.3956353,0.00479923,0.4108677,0.001208561,0.03976546],"study_design_scores_gemma":[0.00001561453,0.000138458,0.09615441,0.00004772639,0.00008792714,0.0003250319,0.004143788,0.8131583,0.002506172,0.07896762,0.004412907,0.00004203421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9426312,0.0002153089,0.03729759,0.0004240834,0.000009875348,0.00002771037,0.0001265384,0.00005313643,0.01921439],"genre_scores_gemma":[0.998195,0.00009544718,0.001105611,0.000005814359,0.000001677323,0.00000660814,0.00001607541,0.000002391543,0.0005713588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009638681,"threshold_uncertainty_score":0.0191651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109386361","doi":"10.18280/isi.250506","title":"Regression Analysis on the Influencing Factors of the Acceptance of Online Education Platform among College Students","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Technology acceptance model; Descriptive statistics; Psychology; Quality (philosophy); Mathematics education; China; Theory of planned behavior; Questionnaire; Computer science; Medical education; Usability; Control (management); Mathematics; Political science; Statistics; Medicine","authors":[{"name":"Jia Wen","is_ca":false},{"name":"Xiaochong Wei","is_ca":false},{"name":"Tao He","is_ca":false},{"name":"Shangshang Zhang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03103831141685852,"gpt":0.3191430511177482,"spread":0.2881047397008897,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002030322,0.0003671593,0.0003205852,0.000899539,0.000462319,0.000916418,0.0004516028,0.0004399033,0.004292832],"category_scores_gemma":[0.01041231,0.0002672256,0.001140948,0.0009475594,0.0003208034,0.0005010405,0.0004725715,0.00125459,0.0005660135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003663225,"about_ca_system_score_gemma":0.0009948935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008405661,"about_ca_topic_score_gemma":0.004977235,"domain_scores_codex":[0.9987171,0.0005066275,0.0001239102,0.0001596953,0.0002951598,0.0001975701],"domain_scores_gemma":[0.987996,0.007163792,0.001541019,0.0005589992,0.001532765,0.001207346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007691034,0.0002384523,0.9939594,0.00001170586,0.00006101913,0.00004961274,0.0005570613,0.0001356665,0.0001804126,0.00005543687,0.0001064466,0.004567887],"study_design_scores_gemma":[0.000008476997,0.0002444898,0.9948832,0.00001350907,0.00007144829,0.00007173558,0.001668378,0.00248635,0.0002082142,0.0000540347,0.0002820399,0.000008132844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990144,0.0000220183,0.0001574737,0.00003684633,0.000005093818,0.00002094483,0.00008111083,0.000005388925,0.0006567838],"genre_scores_gemma":[0.9993419,0.00002892837,0.0001025592,0.000008646482,0.000003580265,0.00002432294,0.00009250477,0.000002060991,0.0003955586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008405661,"threshold_uncertainty_score":0.01671344,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3139993938","doi":"10.18280/isi.260113","title":"Kannada to English Machine Translation Using Deep Neural Network","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Kannada; Machine translation; Translation (biology); Computer science; Natural language processing; Artificial intelligence; Artificial neural network; Chemistry","authors":[{"name":"Pushpalatha Kadavigere Nagaraj","is_ca":false},{"name":"K Ravikumar","is_ca":false},{"name":"Mydugolam Sreenivas Kasyap","is_ca":false},{"name":"Medhini Hullumakki Srinivas Murthy","is_ca":false},{"name":"Jithin Paul","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01545658833218301,"gpt":0.2468130811814459,"spread":0.2313564928492629,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003981332,0.0006239943,0.0004590427,0.0005268945,0.0004423144,0.0007524897,0.0003855064,0.0004882765,0.003456356],"category_scores_gemma":[0.001051149,0.0001763309,0.0005132654,0.0006991439,0.0001928149,0.0009945916,0.0006178919,0.0007832812,0.001832659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003884649,"about_ca_system_score_gemma":0.0006407636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004894448,"about_ca_topic_score_gemma":0.007669325,"domain_scores_codex":[0.9996815,0.0001060292,0.00002648629,0.00009394047,0.00005006815,0.00004206197],"domain_scores_gemma":[0.9997528,0.00008695706,0.00001993994,0.00003415363,0.00009363305,0.00001248842],"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":[0.0003420256,0.0002269766,0.001854358,0.0004880751,0.0001746119,0.0007618134,0.0003154834,0.09272896,0.03272851,0.00788052,0.01388921,0.8486094],"study_design_scores_gemma":[0.00003660953,0.000169606,0.001278457,0.00007586639,0.00008028853,0.0002406554,0.0002029256,0.9435633,0.027963,0.0112572,0.0150976,0.00003444125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1725712,0.00516977,0.7797408,0.00128637,0.00107462,0.0001688656,0.001345379,0.01472569,0.02391732],"genre_scores_gemma":[0.6984467,0.001555464,0.2791216,0.0003690349,0.0001619143,0.0001725679,0.003527121,0.0003942659,0.01625129],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004894448,"threshold_uncertainty_score":0.01156265,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3091072440","doi":"10.18280/isi.250418","title":"An Early-Warning Model for Online Learners Based on User Portrait","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Diverse Interdisciplinary Research Innovations","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Portrait; Computer science; Warning system; Human–computer interaction; Art; Visual arts; Telecommunications","authors":[{"name":"Ye Sun","is_ca":false},{"name":"Rongqian Chai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1573945177390859,"gpt":0.3911301528707734,"spread":0.2337356351316875,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002318312,0.0008322845,0.0007299953,0.002784197,0.000692006,0.001839619,0.001598871,0.001361594,0.002268875],"category_scores_gemma":[0.007819129,0.0003156306,0.000917845,0.00122596,0.0009488323,0.004213405,0.001084598,0.001601844,0.0005929611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195552,"about_ca_system_score_gemma":0.0008410408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0058727,"about_ca_topic_score_gemma":0.003445516,"domain_scores_codex":[0.9985827,0.0003142933,0.0001396043,0.0004495638,0.0003466166,0.0001670996],"domain_scores_gemma":[0.9962127,0.00189143,0.0005950585,0.0001968333,0.0008575576,0.0002464369],"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":[0.001548067,0.001065298,0.229042,0.0004700694,0.0003151435,0.002482117,0.006468826,0.4100479,0.01016813,0.05248083,0.004647997,0.2812636],"study_design_scores_gemma":[0.00001111624,0.0001210889,0.0055052,0.00001988316,0.00004229856,0.0001660357,0.0002735198,0.9853958,0.0007104586,0.007018082,0.0007079797,0.00002838045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4334372,0.0006049327,0.5571265,0.001586151,0.0001079219,0.000296069,0.0005853956,0.0008832389,0.005372653],"genre_scores_gemma":[0.9726974,0.0001710018,0.02495413,0.00004801041,0.00002757347,0.0001071988,0.0002489442,0.0000163873,0.001729278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0058727,"threshold_uncertainty_score":0.01226056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3108589758","doi":"10.18280/isi.250502","title":"An Effective Recommendation System to Forecast the Best Educational Program Using Machine Learning Classification Algorithms","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Best practice; Computer science; Class (philosophy); Path (computing); Process (computing); Machine learning; Selection (genetic algorithm); Artificial intelligence; Programming language; Management","authors":[{"name":"Joy Dhar","is_ca":false},{"name":"Asoke Kumar Jodder","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03117571076642189,"gpt":0.3004767541994972,"spread":0.2693010434330753,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001396001,0.0009270046,0.001354547,0.002505745,0.0007200433,0.001185549,0.001512961,0.001389193,0.003645727],"category_scores_gemma":[0.003423838,0.0003782796,0.0008337624,0.001870659,0.0001267108,0.00127656,0.0003082108,0.0009600619,0.003138584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008472323,"about_ca_system_score_gemma":0.001605043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04184688,"about_ca_topic_score_gemma":0.0422599,"domain_scores_codex":[0.9991024,0.0001434988,0.0001085726,0.0002708366,0.0002837805,0.00009090693],"domain_scores_gemma":[0.9982697,0.0004941922,0.0001105235,0.000178946,0.0008616112,0.00008507926],"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":[0.0005916384,0.0007708536,0.01584629,0.0001986157,0.0001869416,0.000282685,0.00009657504,0.05548495,0.01338439,0.00163571,0.0408162,0.8707051],"study_design_scores_gemma":[0.00006507363,0.0001286599,0.003965785,0.0000257654,0.00008060081,0.00008001111,0.0000501402,0.9822857,0.006963004,0.0007496501,0.005563636,0.00004195111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0785921,0.001092586,0.8792745,0.001445022,0.0004806931,0.0006959631,0.004165666,0.02758781,0.006665557],"genre_scores_gemma":[0.3727997,0.0007727153,0.6074826,0.0004625339,0.0002728547,0.0005661293,0.006613275,0.0002044712,0.01082572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04184688,"threshold_uncertainty_score":0.08320659,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149775087","doi":"10.18280/isi.260107","title":"Opportunities and Challenges of Feature Selection Methods for High Dimensional Data: A Review","year":2021,"lang":"en","type":"review","venue":"Ingénierie des systèmes d information","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Feature selection; Big data; Overfitting; Computer science; Dimensionality reduction; SPARK (programming language); Data science; Selection (genetic algorithm); Feature (linguistics); Machine learning; Curse of dimensionality; Artificial intelligence; Data mining; The Internet; Dimension (graph theory); Process (computing); Data pre-processing; World Wide Web; Artificial neural network","authors":[{"name":"Siva Sankari Subbiah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2636172756962408,"gpt":0.3835999700800877,"spread":0.1199826943838469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029096,0.001044854,0.001731901,0.003105043,0.0003531148,0.00136956,0.001374824,0.0008311548,0.001666414],"category_scores_gemma":[0.005919273,0.0004234645,0.001608178,0.005262487,0.0006352905,0.002151188,0.0005540546,0.001066084,0.0009113408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000529845,"about_ca_system_score_gemma":0.001162082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00191741,"about_ca_topic_score_gemma":0.001483865,"domain_scores_codex":[0.9987928,0.0002623607,0.0001743685,0.000232858,0.0004845099,0.00005324552],"domain_scores_gemma":[0.9947599,0.003768333,0.0002500153,0.0001437687,0.001020258,0.00005778504],"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":[0.00005203776,0.00006451798,0.0009766208,0.007016163,0.0001743071,0.00008841577,0.00006322999,0.001935023,0.0007816368,0.003391324,0.01138214,0.9740747],"study_design_scores_gemma":[0.00009689575,0.0007316548,0.01002178,0.01193194,0.001154354,0.002654951,0.0005734506,0.02307272,0.005037136,0.03366038,0.9108055,0.0002591218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001414998,0.9725885,0.02206792,0.001431194,0.0005384878,0.00004534833,0.0001076222,0.0001137492,0.001692231],"genre_scores_gemma":[0.01567984,0.9624128,0.01856987,0.0006372643,0.001214213,0.0001066383,0.0003366952,0.00004295216,0.0009998078],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003105043,"threshold_uncertainty_score":0.01538759,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4286457427","doi":"10.18280/isi.270313","title":"Augmented Reality Media Development in STEAM Learning in Elementary Schools","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universitas Sebelas Maret","keywords":"Augmented reality; Mathematics education; Psychology; Pedagogy; Multimedia; Engineering; Computer science; Artificial intelligence","authors":[{"name":"‌Rukayah Rukayah","is_ca":false},{"name":"Joko Daryanto","is_ca":false},{"name":"Idam Ragil Widianto Atmojo","is_ca":false},{"name":"Roy Ardiansyah","is_ca":false},{"name":"Dwi Yuniasih Saputri","is_ca":false},{"name":"Moh Salimi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01512609874889454,"gpt":0.2429613537791628,"spread":0.2278352550302683,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287102,0.0002765136,0.0002157121,0.0007586097,0.0006944351,0.002195441,0.0004401426,0.0003976037,0.003797445],"category_scores_gemma":[0.002371524,0.0003109874,0.0002866518,0.0004310221,0.0007232546,0.001385497,0.001449704,0.0003349411,0.0004455698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006602989,"about_ca_system_score_gemma":0.0007362819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008362003,"about_ca_topic_score_gemma":0.002026659,"domain_scores_codex":[0.9986032,0.0007450362,0.00008871448,0.0001344367,0.0002892051,0.0001395334],"domain_scores_gemma":[0.998836,0.0005551777,0.0001954302,0.0001050789,0.0001757922,0.0001326263],"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":[0.001234759,0.002556385,0.08323605,0.001636183,0.00004736173,0.002860357,0.08632319,0.007116879,0.09326597,0.02494875,0.002334436,0.6944397],"study_design_scores_gemma":[0.0003763637,0.008384922,0.3531676,0.001716326,0.000449266,0.004004557,0.19894,0.05035063,0.162451,0.01027863,0.2094888,0.0003918876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590534,0.0002075116,0.01982674,0.0002051756,0.00001907606,0.0002373641,0.00003033104,0.0001888802,0.02023146],"genre_scores_gemma":[0.9819094,0.0001363437,0.01469794,0.0000183438,0.000002946206,0.00007296324,0.0000185653,0.00001568917,0.003127908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003797445,"threshold_uncertainty_score":0.01270372,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3151762068","doi":"10.18280/isi.260102","title":"Query Optimization in a Blockchain-Based Land Registry Management System","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Blockchain; Computer science; Hash function; Digitization; Distributed hash table; Process (computing); Block (permutation group theory); Database; Table (database); Computer security; Operating system; Telecommunications","authors":[{"name":"Amrendra Singh Yadav","is_ca":false},{"name":"Dharmender Singh Kushwaha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007414609762431264,"gpt":0.2052790547179676,"spread":0.1978644449555364,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001258139,0.0002934856,0.0007633668,0.0006035362,0.001260292,0.001620099,0.001229549,0.000733998,0.002690049],"category_scores_gemma":[0.001785912,0.0002420269,0.0002818526,0.001017533,0.0003615208,0.002233089,0.001380289,0.0003487808,0.0006632765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008908071,"about_ca_system_score_gemma":0.001891222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007212284,"about_ca_topic_score_gemma":0.004853913,"domain_scores_codex":[0.9987801,0.0003038266,0.0001307541,0.0002530042,0.0003621184,0.0001702644],"domain_scores_gemma":[0.9991981,0.000248534,0.00009726469,0.0001800667,0.0001603273,0.0001155895],"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":[0.002876218,0.0009675186,0.01914565,0.0004394439,0.0001485577,0.002218652,0.001328531,0.3777605,0.1607085,0.02759517,0.01218323,0.3946281],"study_design_scores_gemma":[0.00008883742,0.0001608356,0.001108367,0.000005207043,0.00002451651,0.0002086369,0.0001987138,0.977512,0.01382885,0.002968779,0.003873696,0.00002143294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5229472,0.0007598057,0.4584129,0.0008099991,0.00005149819,0.0005616161,0.0004910771,0.008509233,0.007456845],"genre_scores_gemma":[0.9470769,0.0001497959,0.04962786,0.00003929132,0.00001517754,0.00008385595,0.0003317905,0.00005513733,0.00262016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007212284,"threshold_uncertainty_score":0.01434058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046452304","doi":"10.18280/isi.250306","title":"LSTM-RNN Based Approach for Prediction of Dengue Cases in India","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Mosquito-borne diseases and control","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Dengue fever; Artificial intelligence; Computer science; Recurrent neural network; Machine learning; Virology; Medicine; Artificial neural network","authors":[{"name":"A. Ronald Doni","is_ca":false},{"name":"T. Sasipraba","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02197956580050967,"gpt":0.2397134616022152,"spread":0.2177338958017055,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002729274,0.0004448674,0.0002396987,0.0005073166,0.0001725711,0.0004244217,0.0005746722,0.0003352843,0.001272795],"category_scores_gemma":[0.0007451273,0.000186356,0.0003466579,0.0003952075,0.0001249626,0.0003750387,0.0003016093,0.0005214367,0.0002548003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005894124,"about_ca_system_score_gemma":0.0005979785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04367479,"about_ca_topic_score_gemma":0.03371046,"domain_scores_codex":[0.9999051,0.00002052019,0.00001107116,0.00002482891,0.00001307575,0.00002527856],"domain_scores_gemma":[0.9997895,0.0001041874,0.0000217076,0.000008707996,0.00006434847,0.00001154876],"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":[0.0002590558,0.0001558513,0.02647065,0.0001211658,0.0000955482,0.0005012904,0.0001538795,0.9037839,0.002839918,0.001013594,0.002957089,0.061648],"study_design_scores_gemma":[0.000003360272,0.00002330704,0.003310668,0.000005275079,0.00001047705,0.00002006217,0.00004505038,0.9955187,0.0005883558,0.0002979272,0.0001716341,0.000005211346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433236,0.0007821164,0.04632525,0.000824057,0.0001312036,0.00003900323,0.00138982,0.0009880342,0.006196974],"genre_scores_gemma":[0.9928249,0.0001696793,0.004694946,0.0000347043,0.00001535953,0.00001385272,0.0006123112,0.00001164459,0.001622675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04367479,"threshold_uncertainty_score":0.08684117,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392200103","doi":"10.18280/isi.290108","title":"Evaluating the Impact of Emotions and Awareness on User Experience in Virtual Learning Environments for Sustainable Development Education","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Prince Sattam bin Abdulaziz University","keywords":"Computer science; Affect (linguistics); Virtual learning environment; Sample (material); User experience design; Human–computer interaction; Multimedia; Psychology","authors":[{"name":"Amer Ibrahim","is_ca":false},{"name":"Intisar A.M. Al Sayed","is_ca":false},{"name":"Mohanad Sameer Jabbar","is_ca":false},{"name":"Hissah Almutairi","is_ca":false},{"name":"Ravi Sekhar","is_ca":false},{"name":"Pritesh Shah","is_ca":false},{"name":"Israa Al Barazanchi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04319690550387975,"gpt":0.3542990751335369,"spread":0.3111021696296571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001855501,0.0002815003,0.000254675,0.0003892154,0.0002356817,0.001152912,0.0002189756,0.0003736171,0.001610196],"category_scores_gemma":[0.008694057,0.0001077663,0.0003390565,0.0002076521,0.0002787136,0.0008870524,0.0008390273,0.0003421233,0.0001795886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224843,"about_ca_system_score_gemma":0.0001704362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003736668,"about_ca_topic_score_gemma":0.0005602308,"domain_scores_codex":[0.9988695,0.0005839244,0.00006826251,0.00008140538,0.0002779372,0.0001189735],"domain_scores_gemma":[0.9956033,0.002796341,0.000620411,0.000168296,0.0005192198,0.0002924193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002281801,0.002036645,0.4971814,0.001822942,0.0003426467,0.0005508828,0.02860511,0.009426444,0.05709619,0.001273609,0.001303977,0.3980783],"study_design_scores_gemma":[0.00004187575,0.006044033,0.902088,0.0003304342,0.0003858309,0.000521589,0.0332074,0.02820746,0.02295346,0.001386149,0.00464282,0.0001909014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953619,0.00009315702,0.002810963,0.00004361496,0.000006207054,0.00002710926,0.00002522969,0.00002091491,0.00161099],"genre_scores_gemma":[0.9980372,0.00006960468,0.001521067,0.00001821916,0.000002751658,0.00002371678,0.00001922559,0.000003089745,0.0003053422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001855501,"threshold_uncertainty_score":0.009812951,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4221096776","doi":"10.18280/isi.270102","title":"A Comprehensive Review of Low Density Parity Check Encoder Techniques","year":2022,"lang":"en","type":"review","venue":"Ingénierie des systèmes d information","topic":"Error Correcting Code Techniques","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Vision Group on Science and Technology; Visvesvaraya Technological University","keywords":"Low-density parity-check code; Computer science; Forward error correction; Encoder; Turbo code; Computer engineering; Parity bit; Error detection and correction; Algorithm; Theoretical computer science; Computer hardware; Decoding methods","authors":[{"name":"Divyashree Yamadur Venkatesh","is_ca":false},{"name":"Komala Mallikarjunaiah","is_ca":false},{"name":"S Mallikarjunaswamy","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04396844722845289,"gpt":0.3087056292349172,"spread":0.2647371820064643,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003626307,0.0007260754,0.0006239182,0.002643377,0.0002938302,0.0005580627,0.0008224298,0.0006838878,0.006425164],"category_scores_gemma":[0.001122704,0.0003672557,0.0003775972,0.002387712,0.0002826128,0.001333938,0.0004582821,0.000817153,0.00299028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003776325,"about_ca_system_score_gemma":0.0009067917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009413626,"about_ca_topic_score_gemma":0.0009013484,"domain_scores_codex":[0.9997306,0.00003328866,0.00003591065,0.00005043133,0.000129556,0.00002023678],"domain_scores_gemma":[0.9994273,0.000277504,0.00005641042,0.00003078392,0.0001901919,0.00001790578],"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":[0.00004759421,0.00006003376,0.0003227188,0.009924396,0.00003740889,0.0001616822,0.00005090613,0.0009436928,0.003702122,0.006099887,0.01973175,0.9589179],"study_design_scores_gemma":[0.000007295338,0.0001645386,0.000750395,0.001981569,0.00007236899,0.001681802,0.00004624985,0.0008764915,0.004324479,0.00267651,0.9873838,0.00003449008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001155082,0.9813075,0.006362505,0.0004005733,0.0005498158,0.00003022078,0.0001645962,0.00009102601,0.009938733],"genre_scores_gemma":[0.006933963,0.9809027,0.005784075,0.0003349966,0.0004745567,0.00003446123,0.0003304454,0.00002237127,0.005182399],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006425164,"threshold_uncertainty_score":0.02149433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280561146","doi":"10.18280/isi.270204","title":"Features of the Application of Digital Technologies for Human Resources Management of an Engineering Enterprise","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Digital transformation; Human resource management; Human resources; Knowledge management; Computer science; Industry 4.0; Human capital; Business; Engineering management; Engineering; Management; World Wide Web; Economics","authors":[{"name":"Світлана Урба","is_ca":false},{"name":"Olga Chervona","is_ca":false},{"name":"Ліна Артеменко","is_ca":false},{"name":"Olga Guk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00976900878524323,"gpt":0.2381244745969594,"spread":0.2283554658117162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007873163,0.0001865313,0.0001225945,0.001101931,0.0005419914,0.002227583,0.000417625,0.0005633316,0.003891139],"category_scores_gemma":[0.002249659,0.000121395,0.0002886995,0.00121044,0.0007654579,0.002142633,0.001133143,0.0003153013,0.0004181913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164578,"about_ca_system_score_gemma":0.001009277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002174294,"about_ca_topic_score_gemma":0.001146964,"domain_scores_codex":[0.9992622,0.0002936518,0.0000348084,0.00009219215,0.0002207874,0.00009645764],"domain_scores_gemma":[0.999014,0.0004978621,0.0001356024,0.0001280811,0.0001420809,0.00008228313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003290882,0.0004766196,0.07034211,0.0006734047,0.00007683488,0.002037262,0.01054283,0.0445785,0.01852761,0.6036549,0.005048667,0.2437121],"study_design_scores_gemma":[0.00009480312,0.000915664,0.1939968,0.0007143154,0.0002343525,0.003200126,0.01870279,0.3231885,0.02370972,0.2707732,0.1642924,0.0001772595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6263031,0.0009311383,0.1241926,0.001986444,0.00005760294,0.0003172785,0.0003594368,0.0004273912,0.245425],"genre_scores_gemma":[0.9859232,0.0002058761,0.009498253,0.00003226463,0.00000952103,0.00006754812,0.00005673159,0.00001006913,0.004196523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003891139,"threshold_uncertainty_score":0.01301718,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3217612788","doi":"10.18280/isi.260505","title":"Detection of Different DDoS Attacks Using Machine Learning Classification Algorithms","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Denial-of-service attack; Computer science; Application layer DDoS attack; Naive Bayes classifier; Random forest; Trinoo; Machine learning; Statistical classification; Algorithm; Decision tree; Artificial intelligence; Reputation; Network security; Computer security; Data mining; Support vector machine; The Internet; World Wide Web","authors":[{"name":"Kishore Babu Dasari","is_ca":false},{"name":"Nagaraju Devarakonda","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02423880062721817,"gpt":0.2436767125884133,"spread":0.2194379119611951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002727766,0.001637071,0.001639919,0.007701807,0.0008346774,0.0018187,0.001389311,0.001472671,0.0007379671],"category_scores_gemma":[0.007354361,0.0003205906,0.00133143,0.003496211,0.0004030635,0.001885957,0.0006922164,0.001280514,0.0005392632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403352,"about_ca_system_score_gemma":0.001193029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007558053,"about_ca_topic_score_gemma":0.004494237,"domain_scores_codex":[0.9969708,0.000455097,0.0005589003,0.0006537816,0.001029318,0.0003320299],"domain_scores_gemma":[0.9948094,0.002250714,0.0007431793,0.0004319157,0.001623634,0.0001411036],"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":[0.0006277075,0.001958166,0.06570719,0.0005041872,0.0004520328,0.0004077091,0.0001915183,0.2629626,0.008990787,0.002553878,0.0120387,0.6436055],"study_design_scores_gemma":[0.00003508606,0.0001954045,0.009713952,0.00004492847,0.00005300232,0.000138454,0.0001163974,0.975675,0.009311846,0.00190096,0.002773779,0.00004123017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5918116,0.003172325,0.3783124,0.001585976,0.0007762285,0.001177726,0.00567566,0.008904246,0.008583848],"genre_scores_gemma":[0.7863576,0.0008061705,0.2034171,0.0001909175,0.0001127424,0.0003718621,0.006746443,0.00007154542,0.001925486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007701807,"threshold_uncertainty_score":0.01502812,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2986893613","doi":"10.18280/isi.240402","title":"The Ability to Think Creatively on SSCS Using Schoology Apps, How is the Student’s Language Metacognitive Awareness?","year":2019,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universitas Sebelas Maret","keywords":"Metacognition; Psychology; Mathematics education; Pedagogy; Cognition","authors":[{"name":"Kundharu Saddhono","is_ca":false},{"name":"Cahyo Hasanudin","is_ca":false},{"name":"Ayu Fitrianingsih","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0299022743749606,"gpt":0.3343047398393116,"spread":0.304402465464351,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687905,0.0004014497,0.000325969,0.001156238,0.0002329035,0.002444261,0.0003526112,0.0005127682,0.002373624],"category_scores_gemma":[0.01309805,0.0002039899,0.0003250408,0.000329445,0.0007510894,0.001364945,0.001068645,0.0007235345,0.0004901647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200949,"about_ca_system_score_gemma":0.0004127338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000432683,"about_ca_topic_score_gemma":0.000544556,"domain_scores_codex":[0.9988631,0.0002684428,0.0001545414,0.0001633426,0.0003767495,0.0001738383],"domain_scores_gemma":[0.9886073,0.00493501,0.003434591,0.0007018322,0.001406152,0.0009151274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004084428,0.002139673,0.7167968,0.0004402875,0.0001373482,0.0009236297,0.04826774,0.0005218386,0.03283275,0.0004199294,0.0004843662,0.1966272],"study_design_scores_gemma":[0.00004258368,0.002503675,0.932041,0.0001610186,0.00017536,0.002416443,0.03429333,0.001731362,0.0212181,0.001273676,0.004036484,0.0001068835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977728,0.00005821965,0.0005508128,0.00004868101,0.000003123794,0.00001493979,0.00001460172,0.00001492802,0.001521842],"genre_scores_gemma":[0.9982867,0.0000905885,0.000652571,0.00001521392,0.000003384688,0.00001684316,0.00002668048,0.000004300861,0.0009036683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002444261,"threshold_uncertainty_score":0.00892657,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386715976","doi":"10.18280/isi.280403","title":"Real-Time Water Quality Assessment via IoT: Monitoring pH, TDS, Temperature, and Turbidity","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Turbidity; Water quality; Environmental science; Internet of Things; Quality (philosophy); Hydrology (agriculture); Environmental engineering; Computer science; Geology; Embedded system; Geotechnical engineering; Oceanography","authors":[{"name":"Wibowo Harry Sugiharto","is_ca":false},{"name":"Heru Susanto","is_ca":false},{"name":"Agung Budi Prasetijo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02914092798510937,"gpt":0.2810654445918682,"spread":0.2519245166067588,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000413204,0.0004764437,0.0003510701,0.0006523646,0.0002902873,0.0008022701,0.0005798194,0.0003922014,0.0007190049],"category_scores_gemma":[0.0006448952,0.0001119851,0.0002549724,0.0008273232,0.0002478146,0.0009086961,0.0006458681,0.0002601425,0.000320856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710492,"about_ca_system_score_gemma":0.0004434336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001560989,"about_ca_topic_score_gemma":0.002963907,"domain_scores_codex":[0.9996319,0.00004275627,0.00003004076,0.00008113922,0.0001782473,0.00003589772],"domain_scores_gemma":[0.9996958,0.00005924045,0.00006319413,0.00005281764,0.0001071026,0.00002191391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007746308,0.0005969706,0.1117277,0.001032496,0.000166219,0.0009667323,0.0006146097,0.01658192,0.2974633,0.005489325,0.006412621,0.5581735],"study_design_scores_gemma":[0.00009898111,0.001277285,0.1662851,0.0002916179,0.0003246815,0.002585196,0.001308805,0.4168865,0.350627,0.008643683,0.05142418,0.00024697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4846761,0.001502732,0.4881578,0.0005895077,0.0004354099,0.0004890033,0.002065361,0.003954951,0.01812894],"genre_scores_gemma":[0.9257014,0.0007914315,0.06950802,0.0001412479,0.00007192283,0.0001838313,0.0008406189,0.00005825338,0.002703206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001560989,"threshold_uncertainty_score":0.003103793,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399855177","doi":"10.18280/isi.290336","title":"Enabling Technologies for Ultra-Low Latency and High-Reliability Communication in 6G Networks","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Low latency (capital markets); Reliability (semiconductor); Computer science; Telecommunications; Computer network; Power (physics); Physics","authors":[{"name":"Saja Majeed Mohammed","is_ca":false},{"name":"Alyaa Al-Barrak","is_ca":false},{"name":"Noof T. Mahmood","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008394168525227653,"gpt":0.2206403087330703,"spread":0.2122461402078427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005463944,0.0004780425,0.0002288944,0.0005071147,0.0005413048,0.001374115,0.0006647913,0.0007751025,0.00305677],"category_scores_gemma":[0.001082098,0.0001926819,0.0002550835,0.000399634,0.0005436769,0.002375862,0.001146059,0.001252277,0.0007580015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005998302,"about_ca_system_score_gemma":0.0005673373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311053,"about_ca_topic_score_gemma":0.00153449,"domain_scores_codex":[0.999516,0.00008370085,0.00001618081,0.00004144721,0.0002524189,0.00009023589],"domain_scores_gemma":[0.9996105,0.000117709,0.00005395199,0.00007199263,0.0001150002,0.00003092378],"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":[0.0001747078,0.0001241999,0.003608304,0.0008620538,0.00006181911,0.001198396,0.0009944953,0.08967534,0.1124194,0.5103224,0.01942078,0.2611381],"study_design_scores_gemma":[0.00004976107,0.0009619844,0.00348582,0.0005709828,0.00009671749,0.002316195,0.001112734,0.3300878,0.06003502,0.1893667,0.411778,0.000138421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1302487,0.01866242,0.725777,0.006794853,0.00163807,0.0002616006,0.0004265648,0.001957994,0.1142327],"genre_scores_gemma":[0.8929682,0.01193653,0.0842661,0.0008172316,0.000390666,0.0001424431,0.0002363091,0.00008990349,0.009152609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00305677,"threshold_uncertainty_score":0.01022589,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2404895327","doi":"","title":"Cultural Differences in Human Computer Interaction: Results from Two Online Surveys.","year":2007,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Digital Communication and Language","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Psychology; Human–computer interaction","authors":[{"name":"Rüdiger Heimgärtner","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03983353310863028,"gpt":0.2962565289494071,"spread":0.2564229958407768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003941165,0.000207985,0.0002657236,0.001070602,0.0006769755,0.0009102602,0.0003144778,0.0006272807,0.001862506],"category_scores_gemma":[0.01709745,0.0002727185,0.0003419151,0.001303009,0.0006026321,0.001056051,0.001092999,0.0009175342,0.0005229952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331229,"about_ca_system_score_gemma":0.0004610566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009836908,"about_ca_topic_score_gemma":0.01416298,"domain_scores_codex":[0.9967532,0.001747953,0.0003134268,0.0002488647,0.000615232,0.0003212802],"domain_scores_gemma":[0.9824426,0.007516939,0.004005122,0.0009535776,0.002974226,0.002107593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001355469,0.000392306,0.9694026,0.00006712095,0.0001133742,0.00008795755,0.01522816,0.00006472496,0.0003040382,0.0001657374,0.0007351767,0.01330319],"study_design_scores_gemma":[0.000007895574,0.0001380099,0.9853506,0.00003345479,0.00002043068,0.00007960358,0.01321714,0.0001076898,0.0001145827,0.00003663855,0.0008833281,0.00001056231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977086,0.0001989842,0.0001076283,0.0001421153,0.00001252832,0.00002400857,0.0001892386,0.000001910287,0.001615041],"genre_scores_gemma":[0.9990421,0.0001619069,0.000116489,0.000113849,0.000006273444,0.00003787829,0.0001779681,0.000003322545,0.0003402157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009836908,"threshold_uncertainty_score":0.02084309,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2914851121","doi":"10.3166/isi.23.6.115-125","title":"Different techniques for hiding the text information using text steganography techniques: A survey","year":2018,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Steganography; Information hiding; Computer science; Information retrieval; Steganography tools; Artificial intelligence; Embedding","authors":[{"name":"V. Lakshman Narayana","is_ca":false},{"name":"Arepalli Peda Gopi","is_ca":false},{"name":"N. Ashok Kumar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03753471934091017,"gpt":0.2772900969530598,"spread":0.2397553776121497,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006040403,0.0009936179,0.001133594,0.00306374,0.0003656705,0.00100616,0.001162006,0.001212008,0.002031554],"category_scores_gemma":[0.001314438,0.0005090786,0.000926847,0.002856,0.0006497502,0.002285364,0.0006289809,0.001003667,0.001298675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002529624,"about_ca_system_score_gemma":0.0003304516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003495117,"about_ca_topic_score_gemma":0.0003853051,"domain_scores_codex":[0.9992071,0.0000883109,0.00008788887,0.0001636821,0.0004005829,0.00005244202],"domain_scores_gemma":[0.9989042,0.0005549478,0.0001261006,0.0001458913,0.0002443629,0.00002449071],"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":[0.0001311337,0.0001531638,0.0009802293,0.005131268,0.0001067282,0.0001113346,0.0001242302,0.001725272,0.03369624,0.004660988,0.001908073,0.9512714],"study_design_scores_gemma":[0.0001440718,0.002181289,0.01290401,0.004004976,0.0012634,0.01427515,0.001084486,0.05534593,0.3967312,0.01639433,0.4951476,0.0005235709],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02950008,0.6494661,0.3032571,0.0008091948,0.0006136788,0.0002289886,0.000216179,0.0005199646,0.01538866],"genre_scores_gemma":[0.1185948,0.653399,0.2132497,0.0006146441,0.0007677851,0.0001882924,0.0006038504,0.0001801046,0.01240195],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00306374,"threshold_uncertainty_score":0.006796241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4286436706","doi":"10.18280/isi.270304","title":"Investigating Students’ Online Self-Regulated Learning Skills and Their E-Learning Experience in a Prophetic Communication Course","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Education and Islamic Studies","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universitas Islam Indonesia","keywords":"Psychology; Blended learning; The Internet; Mathematics education; Educational technology; Medical education; Computer science; World Wide Web; Medicine","authors":[{"name":"Subhan Afifi","is_ca":false},{"name":"Harry Budi Santoso","is_ca":false},{"name":"Lintang Matahari Hasani","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01937572197206712,"gpt":0.306882407400614,"spread":0.2875066854285469,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003103185,0.0003892107,0.0005694643,0.001180769,0.001765396,0.004298688,0.0008233622,0.001004583,0.003075238],"category_scores_gemma":[0.01094908,0.0002952954,0.000539071,0.0005430834,0.001785398,0.001531097,0.002642845,0.002112468,0.0006852395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009499879,"about_ca_system_score_gemma":0.00117039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200848,"about_ca_topic_score_gemma":0.001699867,"domain_scores_codex":[0.9979755,0.0006418008,0.0001139629,0.0002257542,0.0004901243,0.0005527664],"domain_scores_gemma":[0.9935293,0.002128228,0.0008807877,0.0002325109,0.0009421358,0.002287001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003905739,0.0122063,0.2236083,0.0003753513,0.00005762433,0.001901518,0.6728979,0.0006345798,0.01591318,0.001290893,0.001480834,0.069243],"study_design_scores_gemma":[0.00006072633,0.004498189,0.3648806,0.0001899431,0.00005942225,0.001061554,0.6065452,0.002116222,0.006883574,0.0008728357,0.01264294,0.0001888138],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989126,0.00001725892,0.000129293,0.00006507347,0.000006099242,0.00002646289,0.000008352909,0.000003962022,0.0008309228],"genre_scores_gemma":[0.9978883,0.00004647909,0.0002486363,0.00006046958,0.000005383416,0.000040419,0.00001789787,0.00000376958,0.001688573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004298688,"threshold_uncertainty_score":0.01641136,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3089729707","doi":"10.18280/isi.250412","title":"Classification of Brain Tumors Using Convolutional Neural Network over Various SVM Methods","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Support vector machine; Computer science; Artificial intelligence; Pattern recognition (psychology); Artificial neural network","authors":[{"name":"Venkata Ramakrishna Sajja","is_ca":false},{"name":"Hemantha Kumar Kalluri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06643427769456535,"gpt":0.3095145502254098,"spread":0.2430802725308445,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602033,0.0007873463,0.0005319247,0.001404433,0.0001983118,0.000626463,0.0005731838,0.0006323987,0.001134614],"category_scores_gemma":[0.0009229453,0.00016269,0.0006947522,0.0007490313,0.0001639041,0.0006380359,0.000333785,0.000455386,0.0004562987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546024,"about_ca_system_score_gemma":0.0004077072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005517868,"about_ca_topic_score_gemma":0.004810492,"domain_scores_codex":[0.9997163,0.00003617177,0.00002743826,0.00006703179,0.00009164956,0.00006138918],"domain_scores_gemma":[0.999703,0.00007806712,0.00003805511,0.00002893424,0.0001332377,0.00001867317],"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":[0.0004829039,0.0003655813,0.01118696,0.000183386,0.0001774867,0.0001868448,0.00005597278,0.1095319,0.0254802,0.001784737,0.00456373,0.8460003],"study_design_scores_gemma":[0.000006765399,0.0000925417,0.003741539,0.00001815716,0.00003746958,0.00009793787,0.00001895083,0.986252,0.008037225,0.0005830754,0.001103016,0.000011204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3231493,0.004327301,0.660589,0.0005672445,0.0005317646,0.0002262487,0.0009703063,0.003084962,0.00655386],"genre_scores_gemma":[0.9110417,0.001131446,0.08057094,0.0001192128,0.0001069567,0.00007357939,0.001227429,0.00004295841,0.005685656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005517868,"threshold_uncertainty_score":0.01097149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3146117809","doi":"10.18280/isi.260106","title":"Parallelization of the K-Means++ Clustering Algorithm","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Clustering Algorithms Research","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Cluster analysis; Parallel computing; Initialization; SIMD; CUDA; Parallel algorithm; Graphics processing unit; Graphics; Algorithm; Throughput; Parallel programming model; Programming paradigm; Operating system","authors":[{"name":"Sara Daoudi","is_ca":false},{"name":"Chakib Mustapha Anouar Zouaoui","is_ca":false},{"name":"Miloud Chikr El-Mezouar","is_ca":false},{"name":"Nasreddine Taleb","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01641005298293848,"gpt":0.2551106498400835,"spread":0.238700596857145,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004846109,0.0008431753,0.0007577582,0.0005493205,0.0007972992,0.001013436,0.001307543,0.0004594373,0.004409324],"category_scores_gemma":[0.001742174,0.0003791105,0.0006718144,0.0008654741,0.0003900115,0.0007385795,0.0009758655,0.0009307106,0.002393644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008009452,"about_ca_system_score_gemma":0.001849588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039041,"about_ca_topic_score_gemma":0.009890884,"domain_scores_codex":[0.9992205,0.00009302607,0.0000595519,0.0002060102,0.0003197938,0.0001010638],"domain_scores_gemma":[0.9993933,0.00009433484,0.00003205583,0.0001533766,0.0002912234,0.00003569058],"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":[0.0006601055,0.0002333944,0.003452478,0.0003510476,0.0001397219,0.0003400097,0.0003713554,0.3139633,0.06177808,0.02313001,0.02972249,0.5658581],"study_design_scores_gemma":[0.00007919178,0.00006143581,0.0009241599,0.00001182421,0.00002335655,0.0001676003,0.00006304442,0.9383994,0.0286788,0.008014729,0.02354668,0.00002979729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03260596,0.0002619695,0.9401649,0.0002698599,0.0002014032,0.0001855388,0.0003615131,0.01482217,0.01112673],"genre_scores_gemma":[0.179696,0.0002049443,0.8111054,0.00009099347,0.00005480759,0.0002486827,0.001157277,0.001122318,0.006319446],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01039041,"threshold_uncertainty_score":0.02065986,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3217030887","doi":"10.18280/isi.260510","title":"A Proportional Sentiment Analysis of MOOCs Course Reviews Using Supervised Learning Algorithms","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Sentiment analysis; Computer science; Bigram; Naive Bayes classifier; Artificial intelligence; Machine learning; Support vector machine; Sentence; Supervised learning; Perceptron; Natural language processing; Online learning; Term (time); Margin (machine learning); Artificial neural network; Trigram; World Wide Web","authors":[{"name":"Anuj Kumar Singh","is_ca":false},{"name":"Sandeep Kumar","is_ca":false},{"name":"Shashi Bhushan","is_ca":false},{"name":"Pramod Kumar","is_ca":false},{"name":"Arun Vashishtha","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02590904730291073,"gpt":0.2891098331423615,"spread":0.2632007858394508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002145275,0.0006586623,0.0007140137,0.001861461,0.0004830074,0.000842131,0.0004857585,0.0004984394,0.001372548],"category_scores_gemma":[0.005260123,0.0001931642,0.0008909285,0.0008936597,0.000225577,0.0008146837,0.0004084331,0.0005167121,0.0008576767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005503739,"about_ca_system_score_gemma":0.0006356933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002260295,"about_ca_topic_score_gemma":0.002134994,"domain_scores_codex":[0.9983457,0.0005087672,0.0001920357,0.0003424717,0.0005028585,0.0001081199],"domain_scores_gemma":[0.9973801,0.000873415,0.0002836668,0.0001660124,0.001233268,0.00006349279],"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":[0.0008003702,0.0008117768,0.04879656,0.0003041572,0.0004661451,0.0002431183,0.0004379473,0.06741857,0.03107557,0.002116755,0.008140204,0.8393887],"study_design_scores_gemma":[0.0000159016,0.0001368093,0.01322834,0.00001283458,0.00003577055,0.00008889117,0.00008183028,0.9786167,0.005844701,0.0008808006,0.001040932,0.00001658253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4251103,0.0004945957,0.5656173,0.0003970404,0.0002145513,0.0004685582,0.001002562,0.002271016,0.004424107],"genre_scores_gemma":[0.8424404,0.0001398653,0.1523228,0.00006589299,0.0001421433,0.0002061631,0.001744916,0.00007047786,0.002867389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002260295,"threshold_uncertainty_score":0.01134545,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911523720","doi":"10.3166/isi.23.6.87-98","title":"Dynamic load balancing for client server assignment in distributed system using genetical gorithm","year":2018,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Client–server model; Load balancing (electrical power); Distributed computing; Round-robin DNS; Operating system; Computer network; Server; The Internet; Mathematics","authors":[{"name":"Arepalli Peda Gopi","is_ca":false},{"name":"V. Lakshman Narayana","is_ca":false},{"name":"N. Ashok Kumar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01498050369027105,"gpt":0.2493445441899992,"spread":0.2343640404997282,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005435339,0.00046953,0.0007638988,0.0007671871,0.001113254,0.0008513323,0.00130115,0.0008206727,0.002143407],"category_scores_gemma":[0.001460484,0.0003066454,0.0004138616,0.0007450258,0.0006706889,0.0007533344,0.0006590654,0.0006873112,0.0002834298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343201,"about_ca_system_score_gemma":0.001337339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326177,"about_ca_topic_score_gemma":0.01035208,"domain_scores_codex":[0.9996548,0.00008393038,0.00001108193,0.00007872342,0.00009309829,0.00007839214],"domain_scores_gemma":[0.999556,0.0001892872,0.00004409879,0.0000562624,0.0001187285,0.00003563305],"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":[0.000190872,0.0001959603,0.001354031,0.00005359357,0.00004890106,0.00008430334,0.0001544422,0.8445513,0.01557023,0.007560399,0.001630405,0.1286056],"study_design_scores_gemma":[0.00001265122,0.00001333315,0.0001339706,0.000001403281,0.00000662423,0.00000853836,0.00001185072,0.9971876,0.0008089907,0.001627934,0.0001832225,0.000003795536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1628491,0.0002148259,0.829927,0.0003219777,0.00008389573,0.00007945035,0.00004978799,0.001351568,0.00512249],"genre_scores_gemma":[0.8294696,0.00007785815,0.1667362,0.00007735502,0.00002864509,0.00009646352,0.00007515976,0.0001156217,0.003323066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01326177,"threshold_uncertainty_score":0.02636915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4376639351","doi":"10.18280/isi.280229","title":"Data Export and Optimization Technique in Connected Vehicle","year":2023,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Business","authors":[{"name":"Ayushi Jain","is_ca":false},{"name":"Durgesh Nandan","is_ca":false},{"name":"Pramoda Meduri","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0274406129660808,"gpt":0.2510381604726928,"spread":0.223597547506612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807576,0.0005696315,0.0005077692,0.0008538984,0.0004620338,0.0007969144,0.0006054995,0.0004626582,0.006136333],"category_scores_gemma":[0.0007192875,0.0002567057,0.0006119107,0.0009122069,0.0003310961,0.0007665032,0.0006552212,0.0004988287,0.00102941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004271713,"about_ca_system_score_gemma":0.000586179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004314405,"about_ca_topic_score_gemma":0.002338569,"domain_scores_codex":[0.9997932,0.00003230492,0.00001252123,0.00004151287,0.00009481625,0.00002552502],"domain_scores_gemma":[0.9998484,0.00004073063,0.00001681328,0.0000266915,0.00005895167,0.000008349197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002262488,0.0001470998,0.00224341,0.0002844209,0.00006846064,0.0003009035,0.0002123587,0.5851943,0.01801171,0.04561115,0.008595516,0.3391044],"study_design_scores_gemma":[0.00001318853,0.0000588558,0.0003981735,0.0000133094,0.00001293925,0.00007792324,0.00004788736,0.9826741,0.003663105,0.006427973,0.006602834,0.000009727562],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02463236,0.0004599432,0.9600903,0.0002370465,0.00008834396,0.00006273092,0.0001318397,0.001254567,0.01304282],"genre_scores_gemma":[0.717741,0.0008101668,0.2592442,0.0001544566,0.0001013207,0.0001980339,0.0007074652,0.0004849586,0.02055839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006136333,"threshold_uncertainty_score":0.02052808,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4296700420","doi":"10.18280/isi.270407","title":"User-Centered/User Experience Uc/Ux Design Thinking Approach for Designing a University Information Management System","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Persona Design and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Human–computer interaction; Usability; User interface; Computer science; User experience design; USable; Learnability; Interface (matter); User-centered design; User interface design; Multimedia","authors":[{"name":"Olujimi Daniel Alao","is_ca":false},{"name":"Ezihe Amarachi Priscilla","is_ca":false},{"name":"Ruth Chinkata Amanze","is_ca":false},{"name":"Shade Oluwakemi Kuyoro","is_ca":false},{"name":"Adewale Olanrewaju Adebayo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02625623669648161,"gpt":0.2179607629538343,"spread":0.1917045262573527,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01269828,0.00144921,0.000611435,0.00292881,0.002208153,0.006094823,0.001745788,0.001468996,0.003690135],"category_scores_gemma":[0.006731889,0.00086531,0.001063901,0.0014343,0.005023895,0.003715951,0.00282616,0.002487373,0.0009768035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002953182,"about_ca_system_score_gemma":0.005324131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002266771,"about_ca_topic_score_gemma":0.003012138,"domain_scores_codex":[0.9850825,0.01082182,0.0006533635,0.0006564504,0.002363431,0.0004223885],"domain_scores_gemma":[0.9944015,0.002781759,0.0003035199,0.0004344216,0.001769642,0.0003092705],"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":[0.0003895012,0.001085793,0.008159819,0.005022338,0.0002202992,0.002247198,0.2346474,0.01009568,0.04380967,0.3838874,0.008281837,0.3021531],"study_design_scores_gemma":[0.0006448309,0.004175497,0.01317697,0.005762735,0.0007456676,0.005718297,0.1728009,0.09450074,0.06135271,0.2036562,0.4368857,0.000579741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05771161,0.000735594,0.8842809,0.002579293,0.0001197097,0.003226303,0.0001400614,0.0004784673,0.05072804],"genre_scores_gemma":[0.2213302,0.0006721807,0.7624347,0.0007369953,0.00003716741,0.003712979,0.0001187033,0.0001126734,0.01084441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01269828,"threshold_uncertainty_score":0.06715572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109039129","doi":"10.18280/isi.250517","title":"Object Detection Using Stacked YOLOv3","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Bounding overwatch; Computer science; Object detection; Artificial intelligence; Minimum bounding box; Convolutional neural network; Intersection (aeronautics); Hyperparameter; Task (project management); Pattern recognition (psychology); Object (grammar); Deep learning; Margin (machine learning); Computer vision; Convolution (computer science); Artificial neural network; Machine learning; Image (mathematics)","authors":[{"name":"Sai Shilpa Padmanabula","is_ca":false},{"name":"Ramya Chowdary Puvvada","is_ca":false},{"name":"S. Venkatramaphanikumar","is_ca":false},{"name":"Venkata Krishna Kishore Kolli","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02941936145044345,"gpt":0.2517203979680687,"spread":0.2223010365176253,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005678396,0.001619609,0.001400616,0.00131793,0.0004580456,0.001311437,0.002519978,0.001306621,0.002809878],"category_scores_gemma":[0.0010644,0.0007157333,0.001758487,0.0006984823,0.0004499624,0.001207596,0.001579197,0.0009717756,0.002118328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001231542,"about_ca_system_score_gemma":0.001371672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231751,"about_ca_topic_score_gemma":0.0228427,"domain_scores_codex":[0.9995198,0.0000355112,0.00001646882,0.0001918085,0.0001380465,0.00009833668],"domain_scores_gemma":[0.9995862,0.00006308796,0.00005237074,0.00007240752,0.0001854605,0.00004063542],"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":[0.001472828,0.0003449122,0.009366174,0.0003032954,0.0004759725,0.0004034633,0.0001394374,0.2739845,0.07714257,0.003395798,0.01799603,0.614975],"study_design_scores_gemma":[0.000009922915,0.00008021094,0.0008497915,0.00001262182,0.00003293489,0.00009987497,0.00001479573,0.9847955,0.0116988,0.0006782071,0.001712442,0.00001502335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1319106,0.002529713,0.8345016,0.0005627924,0.0003671927,0.0002087421,0.002482687,0.02213061,0.005306061],"genre_scores_gemma":[0.6636133,0.001043257,0.310701,0.0008439969,0.0001192839,0.0002125438,0.00873424,0.0008825266,0.01384974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02231751,"threshold_uncertainty_score":0.04437518,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149495681","doi":"10.18280/isi.260112","title":"Extractive Text Summarization Using Recent Approaches: A Survey","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Automatic summarization; Computer science; Information retrieval; Text graph; Multi-document summarization; Process (computing); Representation (politics); Natural language processing; Artificial intelligence; Data science","authors":[{"name":"Avaneesh Kumar Yadav","is_ca":false},{"name":"Ashish Kumar Maurya","is_ca":false},{"name":"Rama Shankar Yadav","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06615902636918873,"gpt":0.2793440184360165,"spread":0.2131849920668278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002660255,0.002722197,0.002242575,0.009750643,0.0009051075,0.002910605,0.002344042,0.001287174,0.00366862],"category_scores_gemma":[0.009844849,0.0008512106,0.002190964,0.01245825,0.0009376897,0.005267694,0.001228059,0.001483008,0.003354134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007197994,"about_ca_system_score_gemma":0.001364659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008402,"about_ca_topic_score_gemma":0.001583687,"domain_scores_codex":[0.9961594,0.0007874112,0.0006228971,0.0009544255,0.001363697,0.0001120528],"domain_scores_gemma":[0.9913688,0.004651628,0.0008438166,0.0007569168,0.002231308,0.0001474406],"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":[0.00007761697,0.00009625837,0.0004762879,0.005250427,0.0001547908,0.00008974963,0.0003769761,0.002324208,0.004807151,0.003129962,0.009928327,0.9732881],"study_design_scores_gemma":[0.000164173,0.001546533,0.01042028,0.004246626,0.00196185,0.00348514,0.00291254,0.07991147,0.05532223,0.0353428,0.8042451,0.0004413264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01035329,0.440272,0.5295012,0.001787439,0.001264967,0.0007057584,0.001284481,0.004349045,0.01048185],"genre_scores_gemma":[0.0693597,0.4616123,0.4450122,0.001211704,0.00470435,0.0009052011,0.006329567,0.001065678,0.009799169],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.009750643,"threshold_uncertainty_score":0.01406896,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280634284","doi":"10.18280/isi.270208","title":"Developing of Augmented Reality Media Containing Grebeg Pancasila for Character Learning in Elementary School","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Character (mathematics); ADDIE Model; USable; Mathematics education; Test (biology); Computer science; Multimedia; Psychology; Pedagogy; Mathematics; Curriculum","authors":[{"name":"Septinaningrum","is_ca":false},{"name":"Kama Abdul Hakam","is_ca":false},{"name":"Wawan Setiawan","is_ca":false},{"name":"Mubiar Agustin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0548332338389549,"gpt":0.3507613732414642,"spread":0.2959281394025093,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001609269,0.0006068508,0.0003367937,0.001520445,0.0005428062,0.00202087,0.0009319342,0.0006466351,0.006956018],"category_scores_gemma":[0.003574856,0.0003190977,0.0007286171,0.0006480872,0.0005486332,0.001927674,0.00153296,0.0005897645,0.0013879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149204,"about_ca_system_score_gemma":0.0008489338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005152608,"about_ca_topic_score_gemma":0.001146592,"domain_scores_codex":[0.998701,0.0005547192,0.00007359541,0.0001531,0.0004157576,0.000101911],"domain_scores_gemma":[0.9978576,0.001036442,0.0001886089,0.0002996607,0.0004640183,0.0001535514],"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":[0.0005794906,0.002273956,0.007447551,0.002137429,0.00005610009,0.0008834539,0.009319592,0.003977209,0.09665024,0.009717468,0.004008605,0.8629488],"study_design_scores_gemma":[0.0007756658,0.0244216,0.1331235,0.002906519,0.001130634,0.004566625,0.04054435,0.05009097,0.3414718,0.009173034,0.3912134,0.0005819566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7673463,0.0009407299,0.1616785,0.0008654679,0.0002106973,0.001734759,0.0004268954,0.002029783,0.06476686],"genre_scores_gemma":[0.6941128,0.0009893143,0.288187,0.000138272,0.00005684774,0.0009266793,0.0003992968,0.0001463233,0.01504342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006956018,"threshold_uncertainty_score":0.02327019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385078217","doi":"10.18280/isi.280308","title":"Mathematical Modeling of Information Technology Integration in Digital Education: A Regional Perspective","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Computer science; Management science; Data science; Systems engineering; Engineering; Artificial intelligence","authors":[{"name":"Oksana Shkvyr","is_ca":false},{"name":"Halyna Dudchak","is_ca":false},{"name":"Nataliya Kazakova","is_ca":false},{"name":"О. Є. Поляновська","is_ca":false},{"name":"Наталія Сівак","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02757621073417659,"gpt":0.277667172820969,"spread":0.2500909620867924,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001619945,0.0007451074,0.0006196175,0.001762867,0.0006998759,0.003403159,0.001478546,0.001132705,0.003500588],"category_scores_gemma":[0.003512044,0.000413299,0.001455351,0.001800212,0.001941871,0.003509415,0.00184041,0.000949687,0.0009365188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002504635,"about_ca_system_score_gemma":0.001658548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008628746,"about_ca_topic_score_gemma":0.003994848,"domain_scores_codex":[0.9992132,0.0004261993,0.00003375511,0.0001067899,0.0001317526,0.00008836064],"domain_scores_gemma":[0.9988355,0.0005870733,0.0002482761,0.00009892719,0.000175984,0.00005425158],"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":[0.00001091804,0.00002382839,0.0006921427,0.00008281857,0.00001919087,0.0001404611,0.0003360882,0.3421033,0.0007483979,0.6494048,0.0004991635,0.005938896],"study_design_scores_gemma":[0.00001391283,0.00004625235,0.0005283234,0.0000607498,0.00002900566,0.0001280747,0.0003250822,0.8233116,0.0005606786,0.162066,0.01289882,0.00003143656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04990467,0.001621258,0.8669487,0.00230985,0.00008743457,0.00008755281,0.000202801,0.0002066755,0.07863115],"genre_scores_gemma":[0.8397186,0.002990896,0.1366761,0.0001567821,0.00008789941,0.0002361147,0.00014126,0.0001442816,0.01984796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008628746,"threshold_uncertainty_score":0.01817244,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109713436","doi":"10.18280/isi.250508","title":"Analysis on Course Scores of Learners of Online Teaching Platforms Based on Data Mining","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Salient; Principal component analysis; Artificial intelligence; Support vector machine; Machine learning; Maximization; Data mining; Course (navigation); Pattern recognition (psychology); Engineering; Mathematics","authors":[{"name":"Nan Zhou","is_ca":false},{"name":"Zhaofeng Zhang","is_ca":false},{"name":"Jing Li","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0341767912219362,"gpt":0.289140472242811,"spread":0.2549636810208749,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001376202,0.0005373025,0.0005090092,0.003079148,0.0003422476,0.0009503578,0.0004805489,0.0003424425,0.0005452433],"category_scores_gemma":[0.0057119,0.000105981,0.0005374664,0.002070782,0.0002393299,0.0008045573,0.0005367678,0.0004897943,0.0003216131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386592,"about_ca_system_score_gemma":0.0005615427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725826,"about_ca_topic_score_gemma":0.002917798,"domain_scores_codex":[0.9987214,0.0002499413,0.0001201173,0.0002506555,0.0005388156,0.000118979],"domain_scores_gemma":[0.9967539,0.001122339,0.0004856157,0.0002531699,0.001083974,0.0003009692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003352713,0.0007485684,0.6498354,0.0001171828,0.0001895002,0.0002954712,0.000728891,0.01094299,0.009288579,0.0009078283,0.001679069,0.3249311],"study_design_scores_gemma":[0.0000200474,0.0007887552,0.6234004,0.00004162519,0.0001517786,0.0004191942,0.001692544,0.3432262,0.02571312,0.001694371,0.002768613,0.00008336681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723899,0.00007410274,0.02534757,0.0001109636,0.00001705033,0.00008808087,0.0005811631,0.0002021712,0.001189036],"genre_scores_gemma":[0.9854805,0.00006722199,0.01278388,0.0000120073,0.00001399538,0.00005735158,0.0008219517,0.00001177262,0.0007512187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003079148,"threshold_uncertainty_score":0.007278085,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3107519323","doi":"10.18280/isi.250503","title":"A Semi-supervised Deep Auto-encoder Based Intrusion Detection for IoT","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Internet of Things; Intrusion detection system; Anomaly detection; Constant false alarm rate; Encoder; Identification (biology); Process (computing); False positive rate; Artificial intelligence; Data mining; Real-time computing; Pattern recognition (psychology); Machine learning; Embedded system","authors":[{"name":"Samir Fenanir","is_ca":false},{"name":"Fouzi Semchedine","is_ca":false},{"name":"Saad Harous","is_ca":false},{"name":"Abderrahmane Baadache","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01608542235088712,"gpt":0.2171139967831033,"spread":0.2010285744322161,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007024268,0.0007655757,0.0009637204,0.0005734423,0.0002525708,0.000531123,0.001358667,0.0007171315,0.001007021],"category_scores_gemma":[0.001364804,0.0004119594,0.0005221108,0.0004285047,0.0003933665,0.0009409586,0.0009174201,0.001231957,0.0004186145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004699153,"about_ca_system_score_gemma":0.0008834978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437508,"about_ca_topic_score_gemma":0.004442102,"domain_scores_codex":[0.9995649,0.00007981926,0.00002461064,0.0001448615,0.0001133141,0.00007233897],"domain_scores_gemma":[0.9993057,0.0003031845,0.00006883568,0.00009675659,0.0001795351,0.00004589978],"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":[0.0005072083,0.0007049476,0.005242477,0.0001328583,0.0002037091,0.0002407748,0.0001074129,0.3056765,0.02305827,0.003974369,0.008015288,0.6521364],"study_design_scores_gemma":[0.000005013861,0.00003431005,0.0003191469,0.000003315527,0.000005949793,0.00002561979,0.00000334597,0.9968407,0.001899016,0.0006459582,0.0002132186,0.000004360993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09405528,0.0007550036,0.8972705,0.0003413852,0.0001360726,0.00008031068,0.0004018737,0.005249438,0.001710186],"genre_scores_gemma":[0.7980468,0.0003019437,0.1929222,0.0003484014,0.00009663937,0.0001365748,0.001582541,0.0001242845,0.006440607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003437508,"threshold_uncertainty_score":0.006835043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4220902789","doi":"10.18280/isi.270101","title":"A Survey on 6G Networks: Vision, Requirements, Architecture, Technologies and Challenges","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Satellite Communication Systems","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Digitization; Computer science; Network architecture; Telecommunications; Architecture; The Internet; Telecommunications network; Key (lock); Systems engineering; Computer security; Engineering; World Wide Web; Geography","authors":[{"name":"Abderrahmane El Mettiti","is_ca":false},{"name":"Mohammed Oumsis","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0405243331923329,"gpt":0.2458115926471219,"spread":0.205287259454789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008716488,0.0009045096,0.0005790998,0.003226871,0.0006296901,0.002460503,0.0007434878,0.001521177,0.004474376],"category_scores_gemma":[0.001530671,0.0004149454,0.0003173221,0.005462787,0.0006700091,0.004648853,0.0008354401,0.001479067,0.001401342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008929482,"about_ca_system_score_gemma":0.001038933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052064,"about_ca_topic_score_gemma":0.002043192,"domain_scores_codex":[0.9993423,0.0001437575,0.00007259844,0.00009007834,0.0002850273,0.00006625398],"domain_scores_gemma":[0.9989023,0.0006140143,0.00009117592,0.0000490545,0.0002866829,0.0000566109],"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":[0.00008375331,0.0000852105,0.002703235,0.006133919,0.00004435908,0.0004363678,0.0005370739,0.005332358,0.003314535,0.1203344,0.04828167,0.8127131],"study_design_scores_gemma":[0.000004327546,0.0001458795,0.001754024,0.00267059,0.00004901243,0.001311024,0.0006468007,0.004267517,0.0007097943,0.02028962,0.9680986,0.00005270753],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008580538,0.8759269,0.03202521,0.006157331,0.001875976,0.0001205093,0.0003151188,0.0001947538,0.0748037],"genre_scores_gemma":[0.02852438,0.9505277,0.01057207,0.001418245,0.001561422,0.00005814344,0.0003661182,0.00003422692,0.006937721],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004474376,"threshold_uncertainty_score":0.01496828,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3143409530","doi":"10.18280/isi.260109","title":"Decision Support System for Stock Portfolio Selection Using Artificial Intelligence and Machine Learning","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Portfolio; Stock (firearms); Application portfolio management; Decision support system; Stock market; Financial modeling; Project portfolio management; Modern portfolio theory; Financial market; Computer science; Finance; Business; Actuarial science; Financial economics; Economics; Artificial intelligence; Engineering","authors":[{"name":"Sandeep Patalay","is_ca":false},{"name":"Madhusudhan Rao Bandlamudi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1297837903472063,"gpt":0.367279767564985,"spread":0.2374959772177787,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001529331,0.0005674785,0.0007399296,0.001614287,0.000507409,0.001489684,0.0008764797,0.0008819044,0.006728911],"category_scores_gemma":[0.004022314,0.0002851874,0.0005620423,0.000785142,0.0001783623,0.0008300289,0.0005141356,0.0006797541,0.00168032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005402152,"about_ca_system_score_gemma":0.0008356869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003408126,"about_ca_topic_score_gemma":0.002439905,"domain_scores_codex":[0.9992765,0.0001703546,0.0001072179,0.0001234172,0.0002667122,0.00005581576],"domain_scores_gemma":[0.9983708,0.0008814267,0.00009617869,0.0001058502,0.0004609609,0.00008477328],"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":[0.001338498,0.0008397854,0.007799579,0.0004747442,0.0002366032,0.0007136885,0.0002940186,0.06881654,0.02295507,0.006583149,0.01832573,0.8716226],"study_design_scores_gemma":[0.0002391568,0.0003250561,0.002567863,0.00007206689,0.0001012823,0.000228016,0.00007675622,0.9602064,0.02135283,0.003916059,0.01086221,0.00005232054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06978868,0.0004272166,0.8971515,0.0007097975,0.0002611067,0.0006831168,0.000900814,0.02369472,0.006382941],"genre_scores_gemma":[0.506465,0.0003204588,0.4853559,0.0003399007,0.0001064507,0.0006476509,0.001384314,0.0001243182,0.005256035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006728911,"threshold_uncertainty_score":0.02251047,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3013938526","doi":"10.18280/isi.250104","title":"AI Data Driven Approach-Based Endogenous Inputs for Global Solar Radiation Forecasting","year":2020,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Radiation; Meteorology; Environmental science; Computer science; Geography; Physics; Optics","authors":[{"name":"Mohammed Ali Jallal","is_ca":false},{"name":"Abdessalam El Yassini","is_ca":false},{"name":"Samira Chabaa","is_ca":false},{"name":"Abdelouhab Zeroual","is_ca":false},{"name":"Saïda Ibnyaich","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1119716025285022,"gpt":0.2685362737228018,"spread":0.1565646711942996,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003836712,0.0005711477,0.0003813179,0.0003459909,0.000216662,0.000645433,0.0006236424,0.0006067068,0.00114607],"category_scores_gemma":[0.0009074615,0.0002694118,0.0004223224,0.000420982,0.0002049459,0.0005056584,0.0003843815,0.0008692961,0.0002132597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331638,"about_ca_system_score_gemma":0.0005803442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009899247,"about_ca_topic_score_gemma":0.01013203,"domain_scores_codex":[0.999878,0.00003171149,0.000008405715,0.000033981,0.00003265746,0.00001507285],"domain_scores_gemma":[0.9997613,0.000118066,0.00002922112,0.00001567983,0.00006830943,0.000007472124],"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":[0.00001939019,0.00001882792,0.000589419,0.00002108373,0.00002360451,0.00002980187,0.00001090466,0.9837372,0.0006612927,0.001083357,0.000220472,0.01358469],"study_design_scores_gemma":[8.38541e-7,0.000005092107,0.00009118787,0.0000013316,0.000001821206,0.000002041819,0.000001371095,0.9993076,0.0001601621,0.0003008839,0.0001264788,0.000001208287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1003723,0.0009149219,0.8890134,0.0003935963,0.0001900074,0.0000794606,0.0004668507,0.0009876512,0.007581902],"genre_scores_gemma":[0.9621773,0.0002619712,0.03419892,0.00006135914,0.00003727503,0.00009464978,0.0002970488,0.00002885389,0.00284262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009899247,"threshold_uncertainty_score":0.0196833,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4323844585","doi":"10.18280/isi.280114","title":"Digital Technologies for Introducing Gamification into the Education System in the Context of the Development of Industry 4.0","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Educational Games and Gamification","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Context (archaeology); Engineering ethics; Industry 4.0; Engineering management; Knowledge management; Engineering; Computer science; Geography","authors":[{"name":"Oksana Zhukova","is_ca":false},{"name":"Volodymyr Mandragelia","is_ca":false},{"name":"Тетяна Алєксєєнко","is_ca":false},{"name":"Alieksieienko Semenenko","is_ca":false},{"name":"Elena Skibina","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02244495404226167,"gpt":0.2874354589224511,"spread":0.2649905048801895,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001812533,0.0006279504,0.0002539643,0.002117808,0.0007431598,0.003266561,0.000709359,0.001313914,0.005923084],"category_scores_gemma":[0.003406643,0.000334869,0.0006182781,0.00110006,0.002563126,0.003908188,0.002686406,0.001005862,0.0005025388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001981492,"about_ca_system_score_gemma":0.001644222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194595,"about_ca_topic_score_gemma":0.002688182,"domain_scores_codex":[0.9984038,0.001104113,0.00006437872,0.00009575218,0.0001811007,0.000150793],"domain_scores_gemma":[0.9983576,0.001200572,0.0001451621,0.00008975834,0.0000867958,0.0001200602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002090684,0.0004818408,0.01043951,0.0006986221,0.00004335641,0.0008611218,0.01404444,0.03199382,0.003351772,0.8238367,0.001512855,0.1125271],"study_design_scores_gemma":[0.0002042501,0.001314974,0.01851632,0.002347588,0.0001851756,0.001583918,0.02346969,0.2443555,0.01033267,0.5112691,0.1861948,0.0002260664],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3051895,0.001789639,0.5080694,0.002786237,0.0001598532,0.0009991245,0.0001846281,0.0005795893,0.1802422],"genre_scores_gemma":[0.8095822,0.001108995,0.1770306,0.0001091353,0.00001275082,0.0007284338,0.00007692254,0.00003435429,0.01131642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005923084,"threshold_uncertainty_score":0.01981473,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3160257941","doi":"10.18280/isi.260208","title":"A Survey on Various Methods and Algorithms of Scheduling in Fog Computing","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Cloud computing; Fog computing; Distributed computing; Scheduling (production processes); Edge computing; Quality of service; Software deployment; Internet of Things; Algorithm; Computer network; Embedded system; Mathematical optimization; Operating system","authors":[{"name":"Raouf Belmahdi","is_ca":false},{"name":"Djamila Mechta","is_ca":false},{"name":"Saad Harous","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03006790939185819,"gpt":0.3025977800776313,"spread":0.2725298706857731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156149,0.001906188,0.001555378,0.002071358,0.001011977,0.002152895,0.002235097,0.001440131,0.002376883],"category_scores_gemma":[0.003665234,0.0007970132,0.001678951,0.005230394,0.0008043564,0.002393505,0.0009034189,0.001772147,0.001324289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001785018,"about_ca_system_score_gemma":0.002298595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006517672,"about_ca_topic_score_gemma":0.003447709,"domain_scores_codex":[0.9986871,0.0003445869,0.0001745507,0.000256916,0.000430121,0.0001067341],"domain_scores_gemma":[0.9986727,0.0008040573,0.00007780303,0.0001516316,0.0002582651,0.0000355541],"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":[0.0002423025,0.0002061707,0.001417878,0.004221206,0.0002351971,0.0001822638,0.0003486233,0.12961,0.003339398,0.09288084,0.02521192,0.7421042],"study_design_scores_gemma":[0.00009168198,0.0002926904,0.001724208,0.001952652,0.0002677219,0.0008407136,0.0003005401,0.5230672,0.00679625,0.1313773,0.3331144,0.0001747129],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.00417312,0.1479623,0.8235673,0.001056678,0.00154054,0.0002491532,0.0002655408,0.0008315573,0.02035381],"genre_scores_gemma":[0.09863809,0.2769611,0.6108181,0.001242328,0.00335359,0.0006017057,0.0008557288,0.0006141424,0.00691521],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006517672,"threshold_uncertainty_score":0.01295948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046393533","doi":"10.18280/isi.250311","title":"Deep Learning-Based Forecast and Warning of Floods in Klang River, Malaysia","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"Universiti Teknologi Malaysia","keywords":"Warning system; Geography; Meteorology; Cartography; Computer science; Telecommunications","authors":[{"name":"Amrul Faruq","is_ca":false},{"name":"Hudan Pandu Arsa","is_ca":false},{"name":"Shamsul Faisal Mohd Hussein","is_ca":false},{"name":"Che Munira Che Razali","is_ca":false},{"name":"Aminaton Marto","is_ca":false},{"name":"Shahrum Shah Abdullah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01383786558641682,"gpt":0.2079327586864822,"spread":0.1940948931000654,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914301,0.0002990168,0.0001620475,0.0003553849,0.0001163805,0.0003036822,0.0002133375,0.0002742261,0.0006337916],"category_scores_gemma":[0.0007357355,0.0001287867,0.0001977024,0.0001911112,0.0001284906,0.0004866709,0.0002614073,0.0003816602,0.0001107038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005826162,"about_ca_system_score_gemma":0.0006354759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02873114,"about_ca_topic_score_gemma":0.02555781,"domain_scores_codex":[0.9999441,0.00001421033,0.000005901022,0.0000137639,0.000009504871,0.00001241678],"domain_scores_gemma":[0.9998034,0.00007326774,0.00003283646,0.000007626013,0.00006146757,0.00002134933],"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":[0.0002935208,0.0000830444,0.04145542,0.00008470169,0.00004760246,0.0001770144,0.0001044318,0.8996333,0.004915558,0.0009088173,0.001545134,0.05075139],"study_design_scores_gemma":[0.000004251844,0.00002409649,0.008112883,0.000007487795,0.000006260806,0.000007980393,0.00004384334,0.9899926,0.001432028,0.000226898,0.0001352986,0.000006463822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803432,0.000164894,0.01649915,0.0003470764,0.00002408887,0.00001528374,0.0005179808,0.000296086,0.001792211],"genre_scores_gemma":[0.9968306,0.00005124661,0.002162041,0.000008917266,0.000002297895,0.000005153171,0.0001827724,0.000003696729,0.0007532631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02873114,"threshold_uncertainty_score":0.05712783,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109797341","doi":"10.18280/isi.250505","title":"An Automated CAD System of CT Chest Images for COVID-19 Based on Genetic Algorithm and K-Nearest Neighbor Classifier","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Thresholding; CAD; Computer science; Segmentation; Decision tree; Pattern recognition (psychology); k-nearest neighbors algorithm; Classifier (UML); Coronavirus disease 2019 (COVID-19); Computer-aided diagnosis; Naive Bayes classifier; Computer vision; Support vector machine; Image (mathematics); Medicine; Engineering","authors":[{"name":"Heba M. Afify","is_ca":false},{"name":"Ashraf Darwish","is_ca":false},{"name":"Kamel K. Mohammed","is_ca":false},{"name":"Aboul Ella Hassanien","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02955559837286963,"gpt":0.3037244442104031,"spread":0.2741688458375335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007529255,0.0005857478,0.0007981342,0.002487269,0.0004598252,0.0007641598,0.0009056985,0.0008395687,0.002246485],"category_scores_gemma":[0.001402437,0.0003558823,0.0005068344,0.001065557,0.000208584,0.0006578501,0.0004494966,0.0004329079,0.0008768957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004757983,"about_ca_system_score_gemma":0.0006705854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00369186,"about_ca_topic_score_gemma":0.004403599,"domain_scores_codex":[0.9991897,0.0001125501,0.00006208275,0.0002227465,0.0003566753,0.00005634668],"domain_scores_gemma":[0.9994012,0.0001258389,0.00004758007,0.00006016463,0.000341733,0.00002351497],"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":[0.0003164976,0.0002038369,0.008376298,0.0002648043,0.0001183224,0.0003397434,0.0001367424,0.01261551,0.08506124,0.001631611,0.006646285,0.8842892],"study_design_scores_gemma":[0.0001281562,0.0006255617,0.02740434,0.00007852923,0.0001986165,0.002382187,0.0001504014,0.8394274,0.1077165,0.002007644,0.0197072,0.0001735756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05681925,0.0006976345,0.9284222,0.0001507892,0.0001399176,0.0004068417,0.0004708652,0.009636202,0.003256436],"genre_scores_gemma":[0.3459664,0.0005505205,0.6467968,0.0002070523,0.00005859811,0.0004093342,0.001091229,0.0001551283,0.004764949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00369186,"threshold_uncertainty_score":0.007515311,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2406010190","doi":"10.3166/isi.7.4.107-139","title":"Une méthode pour la définition de l'impact organisationnel du changement","year":2002,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","authors":[{"name":"Selmin Nurcan","is_ca":false},{"name":"Judith Barrios","is_ca":false},{"name":"Colette Rolland","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03240538482377268,"gpt":0.2299619086783655,"spread":0.1975565238545928,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006336709,0.002285651,0.001431547,0.002894156,0.001488002,0.007628961,0.002790437,0.003700148,0.01615205],"category_scores_gemma":[0.01572948,0.001225877,0.005013097,0.002760211,0.003208718,0.006529477,0.003479135,0.00589943,0.004276441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665332,"about_ca_system_score_gemma":0.005357032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007436699,"about_ca_topic_score_gemma":0.006945334,"domain_scores_codex":[0.9904717,0.003424898,0.0008787024,0.001462443,0.003441442,0.000320772],"domain_scores_gemma":[0.9906265,0.005587327,0.0005129051,0.001171995,0.001917935,0.00018338],"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":[0.00009609674,0.0000975853,0.0009557338,0.001932915,0.0002265292,0.0004508586,0.002377788,0.03226299,0.007324592,0.7432272,0.009423295,0.2016244],"study_design_scores_gemma":[0.0001015915,0.0001640833,0.0006627406,0.001645799,0.0002086778,0.001099988,0.0008895469,0.1728442,0.009911022,0.4065652,0.4056967,0.0002103986],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005759145,0.000524965,0.9922469,0.0005585549,0.0001973262,0.0001545965,0.0001748113,0.000455141,0.005111793],"genre_scores_gemma":[0.02637708,0.001440568,0.9574531,0.0003399065,0.0001563168,0.0009577576,0.0004100302,0.000486107,0.01237908],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01615205,"threshold_uncertainty_score":0.05403399,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4200027215","doi":"10.18280/isi.260605","title":"Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Honeypot; Roaming; Packet drop attack; Network packet; Mobile ad hoc network; Intrusion detection system; Computer network; Packet forwarding; Black hole (networking); Computer security; Throughput; Routing protocol; Link-state routing protocol; Wireless; Telecommunications","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01761731611816625,"gpt":0.2318882190334843,"spread":0.2142709029153181,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004077375,0.000427022,0.0005361839,0.0004793666,0.0002333794,0.0003576076,0.000665051,0.0004079282,0.0003972633],"category_scores_gemma":[0.0009474994,0.0001405771,0.0002972885,0.0003044231,0.0002586172,0.000588742,0.0004497755,0.0004979731,0.00005944911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003662584,"about_ca_system_score_gemma":0.000336072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545824,"about_ca_topic_score_gemma":0.002356976,"domain_scores_codex":[0.9997906,0.00006344094,0.00001481013,0.00003391416,0.00005436295,0.00004290161],"domain_scores_gemma":[0.9996618,0.0001535472,0.00005088049,0.00002557671,0.00008821031,0.00001999529],"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":[0.0002456574,0.0002009157,0.004347309,0.00008322788,0.0001099459,0.000283331,0.00008857247,0.7974212,0.00884767,0.003002479,0.00111463,0.1842551],"study_design_scores_gemma":[0.000001668693,0.00004545923,0.0002335993,0.000001560374,0.00000365611,0.00001450068,0.000005111662,0.9986418,0.0007450633,0.0002543143,0.00005102226,0.000002250482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4299199,0.001021126,0.5628513,0.0005627804,0.0001258709,0.0001060369,0.00006208842,0.0009464849,0.004404484],"genre_scores_gemma":[0.9719757,0.0002035036,0.0266181,0.00005838506,0.00001277256,0.00003217394,0.00004185952,0.000006754753,0.001050757],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002545824,"threshold_uncertainty_score":0.005062044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4280545754","doi":"10.18280/isi.270209","title":"The Effect of Using Artificial Intelligence on Learning Performance in Iraq: The Dual Factor Theory Perspective","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"University of Mosul","keywords":"Structural equation modeling; Psychology; Confirmatory factor analysis; Artificial intelligence; Status quo; Applied psychology; Machine learning; Social psychology; Computer science; Knowledge management","authors":[{"name":"Ramadan Mahmmod Ramo","is_ca":false},{"name":"Ali Abdulfattah Alshaher","is_ca":false},{"name":"Nima Abdullah Al-Fakhry","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01697520214676976,"gpt":0.2411862790644469,"spread":0.2242110769176772,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00282404,0.0004803254,0.0004153437,0.001617044,0.0007347413,0.002638583,0.0004634455,0.0006769516,0.00259108],"category_scores_gemma":[0.01050232,0.0001921945,0.0008172425,0.001477938,0.001364352,0.0008073531,0.001310694,0.001163322,0.0004267152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226541,"about_ca_system_score_gemma":0.001855135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007164908,"about_ca_topic_score_gemma":0.004760576,"domain_scores_codex":[0.9972252,0.001066154,0.0001788527,0.0002275672,0.0008282418,0.0004740348],"domain_scores_gemma":[0.9841713,0.008517365,0.00374682,0.0005541858,0.00156195,0.001448419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000162165,0.001072966,0.9534734,0.0001043801,0.0001924461,0.0001794202,0.005042221,0.001578699,0.00109079,0.00202245,0.000359729,0.03472129],"study_design_scores_gemma":[0.0000122725,0.0004734877,0.9878026,0.00006714292,0.00007175259,0.00005328316,0.004478992,0.005006624,0.0004875897,0.0006577215,0.0008629782,0.00002560773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953611,0.00009043904,0.000534948,0.0002137187,0.00001095248,0.00002321444,0.00003597918,0.000007676951,0.003721885],"genre_scores_gemma":[0.9991554,0.00007706602,0.000271216,0.00002208286,0.000006561596,0.00001483571,0.00002385814,0.000001881766,0.0004271089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007164908,"threshold_uncertainty_score":0.01493514,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3109797377","doi":"10.18280/isi.250507","title":"Number of Pixel Change Rate and Unified Average Changing Intensity for Sensitivity Analysis of Encrypted inSAR Interferogram","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Encryption; Sensitivity (control systems); Computer science; Pixel; Cryptosystem; Advanced Encryption Standard; Key (lock); Algorithm; Mode (computer interface); Artificial intelligence; Electronic engineering; Computer security; Engineering","authors":[{"name":"Riad Saidi","is_ca":false},{"name":"Nada Cherrid","is_ca":false},{"name":"Tarek Bentahar","is_ca":false},{"name":"Hichem Mayache","is_ca":false},{"name":"Atef Bentahar","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01987626651851626,"gpt":0.2352791610311686,"spread":0.2154028945126524,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008071916,0.0005185768,0.0003016309,0.001896116,0.0002288503,0.0004967449,0.0002984623,0.0003876572,0.001756075],"category_scores_gemma":[0.004889105,0.0001344713,0.0003624637,0.001215676,0.0003736228,0.0008419356,0.0003516603,0.0003253639,0.0002748404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004628287,"about_ca_system_score_gemma":0.0001985432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009160012,"about_ca_topic_score_gemma":0.0006716259,"domain_scores_codex":[0.9989024,0.0001888998,0.00008254618,0.0001848523,0.000553188,0.00008799255],"domain_scores_gemma":[0.9974127,0.001226734,0.0004288311,0.0003217403,0.0005476099,0.00006227295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001367767,0.0004455216,0.0748911,0.0009288177,0.0002850422,0.001559236,0.001014238,0.2246094,0.3797823,0.006528473,0.002072268,0.3065159],"study_design_scores_gemma":[0.00001565644,0.0009810047,0.08399358,0.00005875492,0.0001152445,0.001872708,0.0005000617,0.6840769,0.222238,0.002228306,0.003782215,0.0001376322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7884815,0.001003845,0.1998995,0.0001347293,0.0001289829,0.0001892082,0.0007617836,0.001206702,0.008193805],"genre_scores_gemma":[0.9797673,0.0001861484,0.01876974,0.00002328849,0.00001559679,0.00006449277,0.0003055741,0.00005280359,0.0008150668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001896116,"threshold_uncertainty_score":0.005874634,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033909431","doi":"10.18280/isi.250205","title":"Analysis of the Impacts of Open Residential Communities on Road Traffic Based on AHP and Fuzzy Theory","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Transport engineering; Fuzzy logic; Road traffic; Computer science; Geography; Environmental science; Operations research; Engineering; Artificial intelligence","authors":[{"name":"Zaihua Yang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02772513877822399,"gpt":0.2638745937546313,"spread":0.2361494549764073,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002716969,0.000657393,0.0005101276,0.003279106,0.001078348,0.001536056,0.0008740349,0.0006168454,0.00145423],"category_scores_gemma":[0.003610744,0.0002915401,0.001279337,0.00215082,0.0007506798,0.001379926,0.001045062,0.000591694,0.00005127838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002285802,"about_ca_system_score_gemma":0.001873339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02290531,"about_ca_topic_score_gemma":0.01434011,"domain_scores_codex":[0.9978685,0.0008848506,0.00008657882,0.0001416987,0.0007291693,0.0002890753],"domain_scores_gemma":[0.9979398,0.001255231,0.0001688984,0.00005464879,0.0004641295,0.0001173111],"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":[0.0001311443,0.000237458,0.01559362,0.0002255473,0.0001921963,0.0007799795,0.0006153732,0.9160938,0.001967687,0.02353934,0.0007611959,0.03986259],"study_design_scores_gemma":[0.00000603233,0.00003659831,0.001812034,0.00001041108,0.00002129391,0.0000214758,0.0004192515,0.9931496,0.0002779378,0.004038076,0.0001968594,0.00001042768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7025165,0.0005031769,0.2812879,0.0004696684,0.00005985149,0.0003957929,0.0002084449,0.0001276008,0.01443115],"genre_scores_gemma":[0.9849201,0.0001787141,0.01417728,0.00001160571,0.00000967396,0.00005812252,0.00005742593,0.000005473961,0.0005815596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02290531,"threshold_uncertainty_score":0.04554397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3149136952","doi":"10.18280/isi.260111","title":"An Advanced IoT-Based Tool for Effective Employee Performance Evaluation in the Banking Sector","year":2021,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Computer science; Quality (philosophy); Work (physics); Process management; Service (business); Customer satisfaction; Service quality; Knowledge management; Engineering management; Business; Marketing; Engineering","authors":[{"name":"Adel Alti","is_ca":false},{"name":"Ahmed Almuhirat","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01723597616169942,"gpt":0.2635960297212387,"spread":0.2463600535595393,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001246767,0.0008291131,0.0004627366,0.00140932,0.0002410484,0.0007794326,0.0005432302,0.0006624944,0.003286346],"category_scores_gemma":[0.003010892,0.000207564,0.0003683532,0.0007124297,0.0001572538,0.0007236035,0.0005954261,0.0003064601,0.0008190348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763367,"about_ca_system_score_gemma":0.0003929733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007054647,"about_ca_topic_score_gemma":0.0007659603,"domain_scores_codex":[0.9988066,0.0004058281,0.0001206767,0.000130622,0.0004652069,0.00007099301],"domain_scores_gemma":[0.9980679,0.001129189,0.0002037013,0.0001699633,0.0003350968,0.0000941711],"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":[0.001259278,0.002029864,0.0307945,0.000920688,0.0001634101,0.000926796,0.0009455041,0.04470195,0.07730762,0.005341518,0.01693532,0.8186736],"study_design_scores_gemma":[0.0001984886,0.001589275,0.05735399,0.0005585172,0.000216689,0.0009394023,0.0007599535,0.8351191,0.06936046,0.007295313,0.02637748,0.0002313754],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2449946,0.0004519129,0.7172716,0.0004930578,0.000188509,0.00102904,0.001885869,0.02107951,0.01260581],"genre_scores_gemma":[0.7481072,0.0002080756,0.2463938,0.0001904245,0.00003900906,0.0006318926,0.0008394278,0.000238433,0.003351851],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003286346,"threshold_uncertainty_score":0.0109939,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385078478","doi":"10.18280/isi.280307","title":"Modelling Information Systems for Personnel Management: Navigating Economic Security in the Transition to Industry 5.0","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Transition (genetics); Business; Information systems security; Information security; Knowledge management; Information system; Industry 4.0; Information security management; Management information systems; Computer security; Engineering management; Process management; Computer science; Security information and event management; Cloud computing security; Engineering; Cloud computing; Chemistry","authors":[{"name":"Andrew Todoshchuk","is_ca":false},{"name":"Уляна Моторнюк","is_ca":false},{"name":"Tetiana Skliaruk","is_ca":false},{"name":"Ihor Oliinyk","is_ca":false},{"name":"Tetiana Kornieieva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04248858838480675,"gpt":0.2622659023130061,"spread":0.2197773139281993,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002433342,0.0003851718,0.0002341171,0.001949042,0.00117318,0.006310497,0.001085095,0.001718785,0.003134953],"category_scores_gemma":[0.006336303,0.0003480925,0.0006987026,0.002170208,0.002744159,0.00528309,0.002533782,0.001328358,0.0005109349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003767044,"about_ca_system_score_gemma":0.004176737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01461123,"about_ca_topic_score_gemma":0.0114468,"domain_scores_codex":[0.9981307,0.001225967,0.00008934973,0.0001477615,0.000257606,0.0001485359],"domain_scores_gemma":[0.9968836,0.002232447,0.0002962842,0.0002162106,0.0002216408,0.0001497938],"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":[0.00003985719,0.00006106021,0.004757014,0.0001636607,0.00002071467,0.0002557219,0.005979457,0.05740218,0.0006869576,0.908139,0.001542596,0.02095183],"study_design_scores_gemma":[0.00003845362,0.00009966133,0.005951973,0.0004929462,0.0000528116,0.0002154673,0.008000785,0.3595797,0.0009985585,0.5298404,0.09465931,0.00006991351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1585254,0.002564008,0.7206812,0.01402057,0.0001800865,0.0003989124,0.0007266573,0.0004727561,0.1024304],"genre_scores_gemma":[0.8143747,0.00240745,0.1749713,0.0002804863,0.00005555936,0.0003499291,0.0006127915,0.0000742466,0.006873535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461123,"threshold_uncertainty_score":0.02905238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1967593093","doi":"10.3166/isi.9.3-4.23-55","title":"Approches d'extraction de règles d'association basées sur la correspondance de Galois","year":2004,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","authors":[{"name":"Sadok Ben Yahia","is_ca":false},{"name":"Engelbert Mephu Nguifo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01650012621652072,"gpt":0.2334091667093013,"spread":0.2169090404927806,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004053596,0.001830478,0.002272435,0.008216009,0.001168338,0.004342522,0.002546568,0.001768789,0.003838403],"category_scores_gemma":[0.01450185,0.001200813,0.00302126,0.004777418,0.001667672,0.003894001,0.001870139,0.002269784,0.004570897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005889564,"about_ca_system_score_gemma":0.001190234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002088946,"about_ca_topic_score_gemma":0.002405612,"domain_scores_codex":[0.996079,0.0009132818,0.000315607,0.0008713258,0.001580799,0.0002399164],"domain_scores_gemma":[0.9950579,0.002568245,0.0003234952,0.0008806316,0.001073874,0.0000958675],"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":[0.0003649307,0.0001500459,0.003558397,0.0004921147,0.0003132977,0.0003023758,0.0007573238,0.0378821,0.0101329,0.03821687,0.00336277,0.9044669],"study_design_scores_gemma":[0.000228525,0.0003712903,0.005653334,0.0003834008,0.0004960752,0.001527479,0.001075189,0.7268087,0.02787352,0.1914641,0.04385037,0.0002682064],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0116478,0.0008840369,0.9843354,0.0001455125,0.00005561478,0.0001090386,0.0001255693,0.001327219,0.001369755],"genre_scores_gemma":[0.1158554,0.001732218,0.8770632,0.0001164456,0.0001702178,0.0003084429,0.001003858,0.0002391279,0.003511182],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008216009,"threshold_uncertainty_score":0.0214377,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}