{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":32,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":32,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"90662051a3b3","filters":{"topic":"AI and Multimedia in Education"}},"results":[{"id":"W2973341182","doi":"10.3390/e21090902","title":"Optimization of Big Data Scheduling in Social Networks","year":2019,"lang":"en","type":"article","venue":"Entropy","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":230,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Natural Science Foundation of Inner Mongolia","keywords":"Computer science; Big data; Scheduling (production processes); Fair-share scheduling; Dynamic priority scheduling; Entropy (arrow of time); Two-level scheduling; Rate-monotonic scheduling; Distributed computing; Mathematical optimization; Data mining; Quality of service; Computer network; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03703419125600126,"gpt":0.2813361211476854,"spread":0.2443019298916841,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000137387,0.00003578795,0.00006394071,0.0000447105,0.00001795559,0.00001755253,0.0004666129,0.00003315147,0.00001577512],"category_scores_gemma":[0.00002749669,0.0000357729,0.000009600491,0.0001891459,0.00000905651,0.0002292341,0.0001514207,0.00005485621,0.00001382607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001717177,"about_ca_system_score_gemma":0.00004332588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000172601,"about_ca_topic_score_gemma":0.000001576248,"domain_scores_codex":[0.9995359,0.00002427358,0.000109842,0.0001500319,0.00008514758,0.00009484065],"domain_scores_gemma":[0.9995679,0.00003360468,0.00005984275,0.0003020372,0.00002235636,0.0000142643],"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":[0.000007350171,0.0001221095,0.02279185,0.00001276874,0.000008036379,5.862058e-7,0.001665643,0.8919675,0.0003514704,0.02275741,0.0007705612,0.05954474],"study_design_scores_gemma":[0.0001835231,0.000007794106,0.002800301,0.000007248761,0.000001105516,1.843763e-7,0.00002979338,0.9964584,0.00006837455,0.0001140429,0.0002905841,0.00003865264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03761645,0.00005547205,0.9602251,0.0003239475,0.001390489,0.00008626556,7.590332e-7,0.00001749149,0.0002840296],"genre_scores_gemma":[0.8885468,0.00001516439,0.1109859,0.00004620718,0.0003409792,0.000001822042,0.0000282384,0.000002988884,0.00003185759],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8509304,"threshold_uncertainty_score":0.1458777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3171599904","doi":"10.1145/3408321","title":"Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Private information retrieval; Blockchain; Access control; Computer security; Information security; Information protection policy; Cryptography; Information sensitivity; Information privacy; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.01025437283597481,"gpt":0.2699378903529065,"spread":0.2596835175169317,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003064415,0.0001462975,0.0002083791,0.0004659106,0.0003174726,0.00005952398,0.0009222052,0.0001651556,0.000004858733],"category_scores_gemma":[0.0002081796,0.0001548433,0.00003493126,0.00101338,0.0002169113,0.0001367824,0.0001436769,0.0004249467,0.000006527611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005214842,"about_ca_system_score_gemma":0.0002210378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007623288,"about_ca_topic_score_gemma":0.00002522765,"domain_scores_codex":[0.9985778,0.0001492612,0.0005402593,0.0002814459,0.0002728319,0.0001783697],"domain_scores_gemma":[0.9962494,0.001243923,0.000189857,0.001958636,0.0002357724,0.0001223994],"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":[0.000006228091,0.001341493,0.0008575387,0.00007899608,0.00002311508,9.380008e-7,0.004131134,0.008520322,0.0001098588,0.013821,0.00001658607,0.9710928],"study_design_scores_gemma":[0.0005684644,0.0000721991,0.0005969966,0.0001563511,0.00001054782,0.000017322,0.0009782804,0.9910157,0.0005668836,0.001052883,0.004806044,0.0001583417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05238774,0.0004913459,0.9324433,0.01322939,0.0001552027,0.0008420176,0.00002679347,0.0001675991,0.0002565968],"genre_scores_gemma":[0.9014454,0.0002924215,0.09769483,0.0002382884,0.00001162665,0.0002774614,0.00003132876,0.000006537234,0.000002148133],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9824954,"threshold_uncertainty_score":0.6314328,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096871394","doi":"10.1007/s11036-020-01674-5","title":"Contour Feature Extraction of Medical Image Based on Multi-Threshold Optimization","year":2020,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology); Feature extraction; Active contour model; Histogram; Computer vision; Wavelet; Feature (linguistics); Segmentation; Image segmentation; Image (mathematics)","retraction":null,"screen_n_in":null,"score":{"opus":0.01352220765415942,"gpt":0.2844357912544206,"spread":0.2709135836002612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001257702,0.00008871335,0.0001073589,0.00003016124,0.00009725216,0.00004825784,0.0002784543,0.0001241681,0.00003475121],"category_scores_gemma":[0.00002203211,0.00008157053,0.00003237313,0.0002734665,0.00004896506,0.0001373933,0.00004303746,0.0001720679,0.000004434052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001205431,"about_ca_system_score_gemma":0.0000500829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006820201,"about_ca_topic_score_gemma":0.000001867641,"domain_scores_codex":[0.999219,0.00002142563,0.0001551007,0.0002715658,0.0002220767,0.0001108044],"domain_scores_gemma":[0.9993228,0.0001069668,0.00009966838,0.0002345419,0.00007481193,0.0001611941],"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":[0.000007780956,0.0002695665,0.0002331407,0.00002000541,0.000006172818,7.012456e-7,0.0001161049,0.947596,0.000245202,0.003058191,0.004561182,0.04388598],"study_design_scores_gemma":[0.0003079653,0.00005385376,0.000350667,0.00001374021,0.000006278501,0.000001097431,0.00003352394,0.9895397,0.0001855753,0.00001297585,0.009417764,0.00007686604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002558126,0.0001757248,0.9939678,0.004685901,0.00008844737,0.0005102186,0.000003420466,0.00007660223,0.0002360969],"genre_scores_gemma":[0.9255754,0.0002723824,0.07097118,0.001668378,0.0005234799,0.0008680701,0.00007158725,0.00001322307,0.00003629599],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9253196,"threshold_uncertainty_score":0.332635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3036643472","doi":"10.1007/s00521-020-05046-8","title":"Neural image reconstruction using a heuristic validation mechanism","year":2020,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Narodowe Centrum Badań i Rozwoju","keywords":"Computer science; Heuristics; Heuristic; Artificial intelligence; Artificial neural network; Convolutional neural network; Image (mathematics); Entropy (arrow of time); Process (computing); Pattern recognition (psychology); Machine learning; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.03403540919830163,"gpt":0.2913687645099646,"spread":0.257333355311663,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007416966,0.00010194,0.00009715925,0.00004176406,0.0003279792,0.0001579901,0.000214512,0.00003627678,0.000002457009],"category_scores_gemma":[0.00003597582,0.0001059047,0.0000290332,0.000302301,0.00003691208,0.000277805,0.0001088581,0.0001288041,0.00001282946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001783012,"about_ca_system_score_gemma":0.00002442671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001515611,"about_ca_topic_score_gemma":1.691122e-7,"domain_scores_codex":[0.9991607,0.00004530026,0.0001915745,0.000349698,0.0001021082,0.0001506101],"domain_scores_gemma":[0.9994356,0.00008130282,0.0001139916,0.0001764936,0.00007357135,0.0001190593],"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":[0.000006206491,0.00008620453,0.000892506,0.00009032995,0.00001727147,0.000002493012,0.002367146,0.003664303,0.1021194,0.06145723,0.0002705878,0.8290263],"study_design_scores_gemma":[0.0001148357,0.00002494158,0.0004062771,0.000005713709,0.000009873326,0.00005449767,0.00006603179,0.9950983,0.002370541,0.001546923,0.0001873123,0.0001147306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2749113,0.00002232763,0.7225742,0.001810007,0.0001791216,0.0002143187,0.000001583158,0.0001936298,0.00009350467],"genre_scores_gemma":[0.8926846,0.000004265821,0.1065134,0.0004009054,0.0003629146,0.00001446561,0.000007548741,0.000007133682,0.000004740913],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.991434,"threshold_uncertainty_score":0.4318669,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2997275290","doi":"10.1007/s11042-019-08239-z","title":"Automatic recognition algorithm of traffic signs based on convolution neural network","year":2020,"lang":"en","type":"article","venue":"Multimedia Tools and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Traffic sign recognition; Artificial intelligence; Traffic sign; Convolutional neural network; Softmax function; Pattern recognition (psychology); Artificial neural network; Feature (linguistics); Computer vision; Classifier (UML); Histogram; Sign (mathematics); Image (mathematics); Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.03998929395975895,"gpt":0.2560017603516057,"spread":0.2160124663918468,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001126028,0.0001225742,0.0001563594,0.0000423786,0.0001243121,0.00005333322,0.000232972,0.00006725887,0.00002582568],"category_scores_gemma":[0.00006096299,0.0001189941,0.00004754707,0.0003846348,0.00006897587,0.0002131851,0.00003259967,0.0001115303,0.0000550904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817258,"about_ca_system_score_gemma":0.00005990951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004213679,"about_ca_topic_score_gemma":7.913655e-7,"domain_scores_codex":[0.9990218,0.00004914245,0.0002669402,0.0003148282,0.0001688429,0.0001783963],"domain_scores_gemma":[0.9989912,0.0003858303,0.0001430251,0.0002371456,0.00008422662,0.0001586015],"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":[0.000002382013,0.0001009121,0.00004003977,0.00002211462,0.000005005158,2.202991e-7,0.0003916186,0.005767679,0.0002783574,0.0001229828,0.0009293068,0.9923394],"study_design_scores_gemma":[0.0003689189,0.0001310224,0.002087993,0.00001778774,0.00001514935,8.659167e-7,0.00003675237,0.9949544,0.0003113117,0.0001176215,0.001825163,0.0001330343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01970601,0.0001049945,0.97436,0.00385,0.0002163879,0.001127381,0.00007672947,0.00037218,0.0001863106],"genre_scores_gemma":[0.7069019,0.00002254946,0.2909254,0.0009442489,0.0004484667,0.0005249106,0.0002158489,0.00001167512,0.000005041726],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9922063,"threshold_uncertainty_score":0.4852439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965481567","doi":"10.3390/s19153428","title":"A Node Density Control Learning Method for the Internet of Things","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Node (physics); Wireless sensor network; Computer science; Flexibility (engineering); Key distribution in wireless sensor networks; Wireless network; Wireless; Topology control; Sensor node; Real-time computing; Computer network; Engineering; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01131857584814981,"gpt":0.2767491375473509,"spread":0.2654305616992011,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004525619,0.00004838035,0.00009183262,0.00002361115,0.00003132778,0.00001974309,0.0002716328,0.00002868543,0.000007695375],"category_scores_gemma":[0.0002077357,0.00003261972,0.00005119359,0.00005828473,0.00001503291,0.00008583337,0.00003843591,0.00008596817,0.00003527046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001184506,"about_ca_system_score_gemma":0.0000203114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001923559,"about_ca_topic_score_gemma":0.000001984406,"domain_scores_codex":[0.9995176,0.00006400202,0.00009489276,0.0001323198,0.00008797638,0.0001032049],"domain_scores_gemma":[0.9986619,0.0009504671,0.00008523939,0.0002024113,0.00008064024,0.00001934878],"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":[0.0002481162,0.0002808966,0.0508775,0.0002437915,0.0004654549,0.00000275742,0.2030863,0.04797414,0.05167257,0.08928589,0.006208072,0.5496545],"study_design_scores_gemma":[0.0002637787,0.00003788626,0.00297992,0.000008141697,0.000009232811,0.000002590443,0.0002576415,0.9858512,0.005294129,0.0003154635,0.004932564,0.00004748864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.209089,0.00002004742,0.7887135,0.00107768,0.0005707772,0.0002174159,2.252701e-7,0.00002888239,0.0002825236],"genre_scores_gemma":[0.8594552,0.00000171427,0.1389424,0.0003476019,0.00003570118,0.000006197992,5.778641e-7,0.000003756109,0.001206829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.937877,"threshold_uncertainty_score":0.1330194,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4283830356","doi":"10.3390/app12146836","title":"Design of Intelligent Management Platform for Industry–Education Cooperation of Vocational Education by Data Mining","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Big data; Vocational education; Computation; Support vector machine; Process (computing); Computer science; Data mining; Artificial intelligence; Machine learning; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.1002055897499431,"gpt":0.3380997005839064,"spread":0.2378941108339634,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096681,0.00007161843,0.00008517577,0.0001735082,0.0002947143,0.00003691412,0.001299665,0.00003128617,0.00003099387],"category_scores_gemma":[0.00003380628,0.0000724639,0.0000112711,0.0006599516,0.0001129224,0.0003911834,0.0002721508,0.00006237445,0.00000130408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006748845,"about_ca_system_score_gemma":0.001107127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002082612,"about_ca_topic_score_gemma":8.932492e-7,"domain_scores_codex":[0.9988362,0.00002462665,0.0002907758,0.0003500417,0.0003785392,0.0001197736],"domain_scores_gemma":[0.9990636,0.0001621036,0.0002589894,0.000381328,0.000099907,0.00003404808],"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":[0.00001249732,0.000748854,0.0001204519,0.00004189875,0.0000149185,9.383649e-9,0.003945766,0.004710049,0.006384064,0.1756013,0.03458753,0.7738326],"study_design_scores_gemma":[0.001043675,0.000985133,0.002445939,0.0001199858,0.0001228215,0.00001159814,0.08876504,0.6608268,0.1427152,0.03806434,0.06373215,0.001167266],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02223502,0.0001802858,0.9720597,0.0005834736,0.001124563,0.001037818,0.00001911163,0.00002073366,0.002739264],"genre_scores_gemma":[0.7409292,0.00001208213,0.2580121,0.0001587836,0.00003837433,0.0004762076,0.0002082952,0.000003180763,0.0001617506],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7726654,"threshold_uncertainty_score":0.2954992,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4205910703","doi":"10.1109/access.2021.3138380","title":"QoS Routing Algorithm for OBS Networks Based on a Multi-Objective Genetic Algorithm","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Optical burst switching; Burst switching; Computer network; Transmission delay; Quality of service; Label switching; Circuit switching; Algorithm; Static routing; End-to-end delay; Optical switch; Routing (electronic design automation); Network packet; Optical performance monitoring; Routing protocol; Electronic engineering; Engineering; Wavelength-division multiplexing; Multiprotocol Label Switching; Materials science","retraction":null,"screen_n_in":null,"score":{"opus":0.03340543508140317,"gpt":0.3208890425884948,"spread":0.2874836075070916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001948354,0.0001875327,0.0001892906,0.00008635524,0.0002208856,0.0003537924,0.0008300893,0.0001124139,0.00001091295],"category_scores_gemma":[0.0001067576,0.0001882515,0.0001054958,0.0004861368,0.00002880938,0.0004145565,0.0001118699,0.0001722859,0.00001391325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101047,"about_ca_system_score_gemma":0.0002909102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006849207,"about_ca_topic_score_gemma":0.00001293323,"domain_scores_codex":[0.9984045,0.00008747947,0.0002433662,0.0006169835,0.0002311251,0.0004165367],"domain_scores_gemma":[0.9983791,0.0004869559,0.0001315839,0.0005529103,0.0003255813,0.0001239193],"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":[0.000002235601,0.0002131549,0.0002669095,0.000006887705,0.0000175304,0.00001660431,0.0004038879,0.01848385,0.00003761348,0.00002256881,0.0008301309,0.9796986],"study_design_scores_gemma":[0.0007529418,0.00005701495,0.005118559,0.00003996041,0.00001386534,0.000005722609,0.00004166528,0.9866229,0.006447658,0.0001055539,0.0005600112,0.0002341544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009011869,0.0001064749,0.991951,0.000266601,0.006083397,0.0004504133,0.00001089883,0.0001284335,0.0001016119],"genre_scores_gemma":[0.08017304,0.00001472594,0.9162042,0.001473614,0.001571879,0.0003224868,0.00002448862,0.00002792745,0.0001876984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9794645,"threshold_uncertainty_score":0.7676673,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4315786311","doi":"10.1007/s11036-022-02072-9","title":"A Novel Natural Language Processing Model in Mobile Communication Networks","year":2022,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Computer network","retraction":null,"screen_n_in":null,"score":{"opus":0.00804519409956217,"gpt":0.2628724557191665,"spread":0.2548272616196043,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002540528,0.0001065527,0.0001127612,0.00007154221,0.000501897,0.00009307745,0.0005704132,0.00004261028,0.000006288431],"category_scores_gemma":[0.000002427174,0.0001131463,0.00002637583,0.0005877924,0.00004632976,0.0002324824,0.0004013396,0.0003647168,9.935268e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007676312,"about_ca_system_score_gemma":0.0000531177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004007117,"about_ca_topic_score_gemma":0.00003104132,"domain_scores_codex":[0.9990935,0.00003772508,0.0002105823,0.0003142159,0.0001214733,0.0002224498],"domain_scores_gemma":[0.9992253,0.00008163084,0.0001037291,0.0004972881,0.00003555953,0.00005646498],"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":[0.000001393123,0.0001306538,0.00007519765,0.000003095335,0.000001507511,1.122067e-7,0.0006407573,0.762148,0.00005021399,0.001356018,0.0001776699,0.2354154],"study_design_scores_gemma":[0.0001924092,0.00001643245,0.0003443101,0.000007139999,0.000003761499,0.000007687692,0.000611053,0.9921344,0.000003345367,0.0001441613,0.006406757,0.0001285351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009472881,0.01461373,0.9743181,0.0001534593,0.00007825272,0.0009958497,0.000003738179,0.0001117581,0.000252258],"genre_scores_gemma":[0.980514,0.000262503,0.008532704,0.0002832647,0.00009398001,0.01005873,0.00008846518,0.00001189147,0.0001544371],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9710411,"threshold_uncertainty_score":0.4613972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4306746417","doi":"10.4108/eetsis.v9i6.2591","title":"Multi-target trajectory tracking in multi-frame video images of basketball sports based on deep learning","year":2022,"lang":"en","type":"article","venue":"ICST Transactions on Scalable Information Systems","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"Wuhan Polytechnic University","keywords":"Artificial intelligence; Computer science; Computer vision; Tracking (education); Trajectory; Frame (networking); Feature (linguistics); Video tracking; Similarity (geometry); Process (computing); Basketball; Deep learning; Pattern recognition (psychology); Image (mathematics); Object (grammar)","retraction":null,"screen_n_in":null,"score":{"opus":0.01821304273841702,"gpt":0.2571087061204049,"spread":0.2388956633819879,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001244512,0.0002142303,0.0002957971,0.0009667962,0.0003795574,0.0001496325,0.0004900586,0.0001021939,0.0001075524],"category_scores_gemma":[0.00006229046,0.0002328708,0.0001199295,0.0009626027,0.0000363572,0.001906532,0.00001081586,0.0006235889,0.00004211296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762681,"about_ca_system_score_gemma":0.0001929645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002637241,"about_ca_topic_score_gemma":0.00001381645,"domain_scores_codex":[0.9973905,0.0002752832,0.0009213781,0.0002756125,0.0008129739,0.0003242441],"domain_scores_gemma":[0.9984925,0.0002961014,0.0004455013,0.0004636538,0.0001983484,0.0001039389],"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":[0.00002770632,0.0003953792,0.001312929,0.00009279791,0.000008616007,0.000001725772,0.005234188,0.9708306,0.0001898118,0.00002926367,0.00002564825,0.0218513],"study_design_scores_gemma":[0.001189289,0.0001367688,0.006617981,0.00009887732,0.000006331667,0.000008514437,0.003038939,0.9822998,0.001527201,0.000002331538,0.004839844,0.0002341412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007698007,0.00005105664,0.9888368,0.0001129275,0.001807508,0.000658649,0.00003191286,0.0001894635,0.0006136808],"genre_scores_gemma":[0.9674812,0.0000101181,0.03177173,0.0001588668,0.00001829183,0.000344166,0.00003972504,0.00001529697,0.0001605886],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9597832,"threshold_uncertainty_score":0.9496197,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4210800048","doi":"10.1007/s11036-021-01906-2","title":"A Dual Chaotic Encryption Method for Lightweight Infrared Image","year":2022,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"National Natural Science Foundation of China","keywords":"Encryption; Computer science; Wavelet; Artificial intelligence; Computer vision; Discrete wavelet transform; Peak signal-to-noise ratio; Infrared; Wavelet transform; Algorithm; Image (mathematics); Optics; Physics","retraction":null,"screen_n_in":null,"score":{"opus":0.008379727889555873,"gpt":0.2753291169879835,"spread":0.2669493890984276,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611724,0.0000833877,0.00009273149,0.00005332739,0.0005765018,0.00007384302,0.0002407273,0.00003177595,0.00003248256],"category_scores_gemma":[0.000005226642,0.0000847066,0.0000397633,0.000309481,0.00002267346,0.0001474403,0.0001675208,0.0001063597,0.000004413268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003682802,"about_ca_system_score_gemma":0.00003798481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006949448,"about_ca_topic_score_gemma":0.000001101687,"domain_scores_codex":[0.9992186,0.00004291356,0.0001548923,0.0003106887,0.00009664378,0.0001763007],"domain_scores_gemma":[0.9992862,0.0001975786,0.00007919254,0.0003155884,0.00005126408,0.00007023005],"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":[0.0000124282,0.0005476251,0.0001004893,0.00003336432,0.00003554467,8.024106e-7,0.001503258,0.05521651,0.001708792,0.222754,0.0339007,0.6841865],"study_design_scores_gemma":[0.000189473,0.00007252139,0.0002212512,0.000001573153,0.00001113978,0.000009302187,0.0001159628,0.5920823,0.00008379636,0.00740701,0.3996914,0.0001142631],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004570434,0.0003624614,0.9967273,0.0004934397,0.0002248021,0.001193706,0.00001173435,0.00009827433,0.000431192],"genre_scores_gemma":[0.2805945,0.0002839103,0.6298876,0.001329357,0.002014723,0.08288355,0.0004049813,0.00004494629,0.002556398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6840722,"threshold_uncertainty_score":0.4434044,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3042727720","doi":"10.1002/ett.4037","title":"The security of vulnerable senior citizens through dynamically sensed signal acquisition","year":2020,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"SIGNAL (programming language); Computer science; Segmentation; Feature (linguistics); Data acquisition; Artificial intelligence; Interference (communication); Pattern recognition (psychology); Feature extraction; Real-time computing; Computer vision; Telecommunications","retraction":null,"screen_n_in":null,"score":{"opus":0.01684788944759731,"gpt":0.2685576800555142,"spread":0.2517097906079169,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002532574,0.0001608017,0.0001737057,0.0001033313,0.001137198,0.00007115012,0.001888236,0.0001325513,0.0000244414],"category_scores_gemma":[0.0001202126,0.0001345329,0.0001115032,0.001030047,0.0003210409,0.0003432593,0.00006431559,0.0006547456,0.00002762027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006529257,"about_ca_system_score_gemma":0.00008329518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003607117,"about_ca_topic_score_gemma":0.00001918561,"domain_scores_codex":[0.9986713,0.0001681988,0.0003927296,0.0002842062,0.0002234756,0.0002600917],"domain_scores_gemma":[0.9974265,0.0007572345,0.0001808972,0.001414802,0.0001855245,0.00003502833],"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":[0.0001091122,0.001553028,0.00009187999,0.0001150571,0.0004376313,0.000003309933,0.03333201,0.02312011,0.0335832,0.1555831,0.004653455,0.7474181],"study_design_scores_gemma":[0.001060182,0.0006318832,0.0003035555,0.0001148674,0.0001050952,0.0000220434,0.01891497,0.6952022,0.197684,0.05890207,0.0261858,0.0008733969],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009029487,0.0003035677,0.9105683,0.0771213,0.0001331166,0.0003251296,0.00001373506,0.001563764,0.0009415789],"genre_scores_gemma":[0.8788475,0.001079083,0.1197054,0.0001913128,0.000009392347,0.0001182503,0.000008051145,0.00001123279,0.00002967839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8698181,"threshold_uncertainty_score":0.8746526,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385484078","doi":"10.1007/s11036-023-02163-1","title":"Remote Early Warning System for Mountain Floods with Robust ZigBee Wireless Networks","year":2023,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Warning system; Robustness (evolution); Natural disaster; Early warning system; Wireless sensor network; Flood warning; Flood myth; Real-time computing; Flash flood; Meteorology; Telecommunications; Computer network; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.01068972370530963,"gpt":0.2381975032906618,"spread":0.2275077795853522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002899884,0.0001548329,0.0001717494,0.00006907949,0.0005039743,0.0001847905,0.0003732928,0.0001063383,9.092065e-7],"category_scores_gemma":[0.000003060325,0.0001359217,0.00003817195,0.0007809444,0.00005325437,0.0001763987,0.00009874548,0.0001487983,0.000009804747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004620109,"about_ca_system_score_gemma":0.00003898599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004750622,"about_ca_topic_score_gemma":0.00001471638,"domain_scores_codex":[0.9988011,0.00002854784,0.0002131649,0.0004622902,0.0001179316,0.0003769985],"domain_scores_gemma":[0.9989236,0.000252771,0.0001176972,0.0004702679,0.0001048114,0.0001308246],"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":[0.000005257659,0.00002228268,0.0004623904,0.00003147159,0.00001746161,6.906304e-7,0.0001621865,0.7751567,0.00001123443,0.008325832,0.0009375937,0.2148669],"study_design_scores_gemma":[0.0002489927,0.00006823158,0.001444487,0.00005393108,0.00001812887,0.00000732075,0.0002339067,0.9861925,0.00001224913,0.0000876662,0.01145517,0.0001773673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0162718,0.0002530458,0.9810696,0.0001573032,0.0002196799,0.001391716,0.000003642291,0.0004791885,0.0001539973],"genre_scores_gemma":[0.9835292,0.0001596127,0.01151993,0.0000619881,0.000931252,0.003366668,0.00008332929,0.00003108898,0.0003169949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9695497,"threshold_uncertainty_score":0.5542726,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4399860973","doi":"10.23977/acss.2024.080111","title":"Construction and analysis of dynamic model of discrete system of physical education teaching based on multi criteria side decision algorithm","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":4,"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; Algorithm","retraction":null,"screen_n_in":null,"score":{"opus":0.01137412942929704,"gpt":0.3221990175684187,"spread":0.3108248881391217,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003902734,0.0001190882,0.0004084051,0.0004944477,0.00003059785,0.00005113226,0.0001493562,0.00004216929,1.432543e-7],"category_scores_gemma":[0.00001356565,0.00009811967,0.00006751023,0.0003699999,0.00006212598,0.000419354,0.00004635031,0.00007647833,1.085153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004040291,"about_ca_system_score_gemma":0.00006652847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005500152,"about_ca_topic_score_gemma":0.000003195918,"domain_scores_codex":[0.9987717,0.0001287303,0.0004606878,0.0003341387,0.0002116643,0.000093131],"domain_scores_gemma":[0.9989097,0.0005258446,0.0002044515,0.0002320109,0.00008796561,0.00004008999],"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":[0.000007485971,0.0001033499,0.0003939679,0.0006804314,0.00004916277,5.109327e-7,0.001987666,0.2653375,0.002041597,0.005222398,0.000001741322,0.7241742],"study_design_scores_gemma":[0.0001360671,0.0001019339,0.0004875824,0.001324369,0.00005645315,0.000002860683,0.0002145792,0.997077,0.0002129572,0.0002930153,0.000006025003,0.00008719431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1204654,0.001717864,0.8768464,0.000009864878,0.0007243747,0.0001696384,0.00002183313,0.00001938104,0.00002525088],"genre_scores_gemma":[0.7452036,0.00003979428,0.2546958,0.000003456737,0.00003205181,0.00001251312,0.000007206177,0.00000410456,0.000001552594],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7317395,"threshold_uncertainty_score":0.4001204,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321437760","doi":"10.1007/s11276-023-03244-5","title":"A multi-frequency communication routing protocol for mobile devices in the Internet of things","year":2023,"lang":"en","type":"article","venue":"Wireless Networks","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer network; Computer science; Wireless Routing Protocol; Zone Routing Protocol; Dynamic Source Routing; Routing protocol; Hazy Sighted Link State Routing Protocol; Distributed computing; Link-state routing protocol; Static routing; Routing (electronic design automation)","retraction":null,"screen_n_in":null,"score":{"opus":0.03930226387025747,"gpt":0.3385138064517002,"spread":0.2992115425814427,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009617264,0.00007914921,0.0001067867,0.0000601362,0.0000693209,0.00006023615,0.001173398,0.00006469004,0.000001658701],"category_scores_gemma":[0.00003965445,0.00005876439,0.00003838694,0.0004824428,0.00003863416,0.0003201345,0.0001445923,0.0001447999,0.000004027038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002460265,"about_ca_system_score_gemma":0.00003680343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002294356,"about_ca_topic_score_gemma":0.00009194089,"domain_scores_codex":[0.9991297,0.0001271789,0.0002719949,0.000168378,0.0001118973,0.0001909132],"domain_scores_gemma":[0.9987603,0.0005040861,0.0001852292,0.0004622235,0.00006994271,0.0000181826],"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":[0.00004653286,0.00090497,0.07244251,0.0004150243,0.00004386289,0.00000310786,0.1782674,0.0183846,0.0003572241,0.03817957,0.007242199,0.683713],"study_design_scores_gemma":[0.0003888314,0.00003816215,0.008193711,0.0001524385,0.000001724021,7.730495e-7,0.0006010408,0.9893436,0.00005705025,0.000354389,0.0007983039,0.00006996719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03552652,0.0000387452,0.866918,0.000892331,0.0003185617,0.09577688,8.682753e-7,0.0002225145,0.0003055779],"genre_scores_gemma":[0.7807688,0.000004018153,0.03113474,0.000168358,0.00004489243,0.1878297,0.00001169783,0.000007170985,0.00003062849],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.970959,"threshold_uncertainty_score":0.2396342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386716640","doi":"10.1007/978-3-031-42505-9_47","title":"Child Tracking and Prediction of Violence on Children In Social Media Using Natural Language Processing and Machine Learning","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Machine learning; Artificial intelligence; Social media; Decision tree; Harm; Sentiment analysis; The Internet; Harassment; Data science; World Wide Web; Psychology; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.01841198283895322,"gpt":0.2614828777005466,"spread":0.2430708948615933,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954775,0.0002459943,0.0002893552,0.0006930451,0.0002465742,0.0001547756,0.0005032362,0.000168526,7.335447e-7],"category_scores_gemma":[0.0001775656,0.0002301628,0.00002874463,0.0004388645,0.0003475476,0.0004169282,0.0003527817,0.0008053003,4.78089e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009731912,"about_ca_system_score_gemma":0.0001261924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005353791,"about_ca_topic_score_gemma":0.00006453025,"domain_scores_codex":[0.9981806,0.00003266845,0.000305886,0.0007361327,0.0004597154,0.0002850077],"domain_scores_gemma":[0.9991631,0.0003029499,0.0002349761,0.0001798623,0.00006617378,0.00005295225],"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":[0.000003714708,0.00001260066,0.001550279,0.00003324419,0.000002871638,0.000006355278,0.01097181,0.003666256,0.0001585908,0.0002695815,2.208963e-7,0.9833245],"study_design_scores_gemma":[0.0002750143,0.00005803433,0.03933478,0.001846004,0.000007140883,0.00004910703,0.000003998262,0.9536315,0.0006185183,0.003907313,0.00000178664,0.0002667528],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1141759,0.00420686,0.8786496,0.0003836507,0.001754691,0.0005126685,0.00001595796,0.0001886982,0.0001119892],"genre_scores_gemma":[0.9757242,0.00009791982,0.02364329,0.00008525838,0.0004096666,0.000002119787,0.00001249908,0.00001875173,0.000006248701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9830577,"threshold_uncertainty_score":0.9385768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386007990","doi":"10.1007/s11036-023-02196-6","title":"An Encryption Transmission System for High-speed Private Data Streams in Online Education in the Specialty of “Traffic Engineering”","year":2023,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Encryption; Computer science; Data security; Disk encryption hardware; On-the-fly encryption; Computer network; Data transmission; Filesystem-level encryption; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.01490958730420537,"gpt":0.2867831366188786,"spread":0.2718735493146732,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003623041,0.00007304703,0.00009705962,0.0001021422,0.00005362999,0.00003364848,0.0005425969,0.00005437869,6.103288e-7],"category_scores_gemma":[0.000004923114,0.0000598149,0.00001173403,0.0006375793,0.00001498975,0.0001971265,0.00003337987,0.00007484765,8.016901e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000262213,"about_ca_system_score_gemma":0.00006701324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004013025,"about_ca_topic_score_gemma":0.00004931141,"domain_scores_codex":[0.999257,0.00002859946,0.0002347413,0.0002692224,0.0000822123,0.0001281977],"domain_scores_gemma":[0.9991749,0.0001374258,0.00006785528,0.0005544479,0.0000297818,0.00003556798],"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":[0.000003484581,0.0003824475,0.0002378425,0.00006268427,0.000002024887,8.103656e-8,0.000438409,0.394943,0.0003064427,0.01067808,0.0002004748,0.5927451],"study_design_scores_gemma":[0.0001675748,0.00003498847,0.01654675,0.00004863063,0.00000484836,8.196838e-7,0.0004170359,0.9775515,0.00003354457,0.0001149738,0.005012515,0.00006686483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4684768,0.000156011,0.5293757,0.0002136575,0.000166346,0.001506846,0.00002719995,0.00007100545,0.000006350543],"genre_scores_gemma":[0.9916873,0.0002138586,0.005993131,0.0000139102,0.0003329745,0.000693501,0.001052824,0.000006757787,0.000005720533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5926782,"threshold_uncertainty_score":0.2439181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4385987251","doi":"10.1007/s11036-023-02188-6","title":"Quantitative Evaluation of NDE Reliability Based on Back Propagation Neural Network and Fuzzy Comprehensive Evaluation","year":2023,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Reliability (semiconductor); Consistency (knowledge bases); Evaluation methods; Fuzzy logic; Backpropagation; Artificial neural network; Data mining; Quality (philosophy); Evaluation function; Reliability engineering; Machine learning; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.04965976486648675,"gpt":0.3404614194912914,"spread":0.2908016546248047,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001418759,0.0001299592,0.0001545308,0.00008490787,0.0002216881,0.00005341784,0.000151769,0.00007892803,0.00001080205],"category_scores_gemma":[0.00005184294,0.0001221209,0.00003206641,0.0008308917,0.0001115737,0.000197999,0.00006182092,0.0001102302,0.00001320512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005720136,"about_ca_system_score_gemma":0.0001026683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714736,"about_ca_topic_score_gemma":0.000007672102,"domain_scores_codex":[0.9982951,0.0003119117,0.0002925744,0.0004491686,0.0004627538,0.0001884805],"domain_scores_gemma":[0.9980109,0.0005723635,0.0002026683,0.0004353175,0.0007064577,0.00007234437],"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":[0.000008952725,0.00005934297,0.0006603623,0.00001667849,0.000005011603,2.174316e-8,0.0001206071,0.8652679,0.00006240318,0.003625197,0.0006478307,0.1295257],"study_design_scores_gemma":[0.0004159257,0.0001506134,0.03163771,0.0000254998,0.00004143479,4.483066e-7,0.000109657,0.9616845,0.00003444867,0.005271486,0.000517443,0.0001108035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4489525,0.0009102304,0.539635,0.001047109,0.0005268499,0.00754849,0.00001255745,0.0001984686,0.001168817],"genre_scores_gemma":[0.9927088,0.00009582285,0.00398162,0.0001027861,0.0001571139,0.002770623,0.0001622192,0.000009365035,0.00001166988],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5437563,"threshold_uncertainty_score":0.4979944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4372260415","doi":"10.1109/icassp49357.2023.10095224","title":"On Designing A 3d Imaging Summer Project For Ontario’s High School Students During Covid-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"York University","funders":"","keywords":"Outreach; Ethnic group; Government (linguistics); Documentation; Coronavirus disease 2019 (COVID-19); Pandemic; Experiential learning; Medical education; Public relations; Political science; Psychology; Pedagogy; Computer science; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.07530240715770779,"gpt":0.3748383542075872,"spread":0.2995359470498794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005246977,0.0001357646,0.0001204711,0.0002582419,0.0003083166,0.0002030669,0.0006473475,0.00003732859,0.00003956445],"category_scores_gemma":[0.0003481104,0.0001206322,0.00004756715,0.0003440039,0.00001585862,0.0003907612,0.0001896135,0.0001311978,0.0001607798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006651343,"about_ca_system_score_gemma":0.0006849042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030583,"about_ca_topic_score_gemma":0.002157825,"domain_scores_codex":[0.9986094,0.00004047904,0.0001916377,0.0004580267,0.0003158231,0.0003846886],"domain_scores_gemma":[0.9990193,0.0003659118,0.00006715554,0.0003297793,0.00005093368,0.0001669015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004664684,0.0001560712,0.9556184,0.00007333735,0.00004587248,0.00001681521,0.01299959,0.0009034094,0.002297413,0.001380279,0.01976287,0.006699251],"study_design_scores_gemma":[0.01019413,0.0004472517,0.8445861,0.0002845808,0.00008444518,0.0000631104,0.003233798,0.1039073,0.005742262,0.01029213,0.01907456,0.002090351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6773537,0.000007157773,0.3193128,0.0005820508,0.0009978538,0.0008693443,0.000001363027,0.0006470418,0.0002286856],"genre_scores_gemma":[0.9282638,0.000007209009,0.06217243,0.00159923,0.0001619662,0.0005417112,0.00001704666,0.00002060991,0.007215935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2571404,"threshold_uncertainty_score":0.9962846,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3128022572","doi":"10.23977/aetp.2021.51001","title":"Routing Algorithm Experimental Teaching Design of Wireless Sensor Network for Internet of Things Engineering Specialty","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":1,"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; Routing (electronic design automation); Key (lock); Wireless sensor network; The Internet; Distance-vector routing protocol; Algorithm; Computer network; Routing protocol; Link-state routing protocol; Computer security; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01408465574106652,"gpt":0.3288153073127864,"spread":0.3147306515717198,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002547538,0.00008165839,0.0001690711,0.0001680014,0.00003508218,0.000004378679,0.0002402629,0.0001159411,0.000006337296],"category_scores_gemma":[0.0001479228,0.00008998164,0.00002017747,0.0002696768,0.0001034777,0.0002338487,0.0000590797,0.0001597557,4.301664e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002143382,"about_ca_system_score_gemma":0.00006738598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002935566,"about_ca_topic_score_gemma":8.516518e-7,"domain_scores_codex":[0.9992182,0.00003954328,0.0002629737,0.0002664219,0.00004996129,0.0001629159],"domain_scores_gemma":[0.9991649,0.0004470763,0.000140366,0.0001649361,0.0000643746,0.00001831018],"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":[0.00001677365,0.0004177539,0.007588149,0.00003210265,0.00002420752,0.000001463704,0.003203434,0.000661036,0.007562073,0.7699251,0.0001922375,0.2103756],"study_design_scores_gemma":[0.003145643,0.001012751,0.01968959,0.0006552956,0.00003278058,0.0005593617,0.003931985,0.3542597,0.1214115,0.4780965,0.01612634,0.001078567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04011898,0.003154958,0.9532838,0.00160584,0.001542821,0.0001296016,0.000001166187,0.00002308806,0.0001397502],"genre_scores_gemma":[0.4356421,0.0001050912,0.5640045,0.00008842394,0.0000853672,0.00004191633,0.00000469409,0.000003803859,0.00002402986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3955231,"threshold_uncertainty_score":0.3669345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386800661","doi":"10.23977/aetp.2023.071110","title":"Exploration of Digital Innovation Path in Dance Curriculum","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Curriculum; Dance; Grassroots; Dance education; Digital learning; Multimedia; Sociology; Computer science; Political science; Pedagogy; Visual arts; Art","retraction":null,"screen_n_in":null,"score":{"opus":0.02269381346372674,"gpt":0.3658693520460714,"spread":0.3431755385823447,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001700703,0.00006939314,0.0001041308,0.001324877,0.00002590489,0.000007294527,0.0002595147,0.0001142715,0.000003876968],"category_scores_gemma":[0.0002428764,0.00007278814,0.000007105113,0.00401542,0.0001507681,0.001304736,0.00004844124,0.00013418,0.00001805784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001936639,"about_ca_system_score_gemma":0.00005663501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002121249,"about_ca_topic_score_gemma":0.00001002083,"domain_scores_codex":[0.9992102,0.00001859808,0.0002841305,0.0002748626,0.0000661257,0.0001460992],"domain_scores_gemma":[0.9994827,0.0001074164,0.0001170929,0.0002059865,0.00007592428,0.00001091763],"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":[0.000003183074,0.0001888401,0.2226382,0.00001046484,0.00000140302,8.660503e-7,0.0006176794,0.00005844328,0.0001917812,0.6686002,0.0002269341,0.1074621],"study_design_scores_gemma":[0.000263694,0.00005851674,0.1105872,0.00002570894,5.215241e-7,0.000009135055,0.0003680657,0.0008478459,0.0001034084,0.8816691,0.005975481,0.00009128285],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152057,0.001436429,0.04760416,0.03167327,0.001820638,0.0002331727,0.000003810314,0.0001100897,0.001912797],"genre_scores_gemma":[0.9900187,0.0009748564,0.008625783,0.0001150841,0.0000334259,0.0001369848,0.00003510733,0.00000330484,0.00005681683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2130689,"threshold_uncertainty_score":0.2968214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380080183","doi":"10.3233/jhs-222063","title":"Improved design of load balancing for multipath routing protocol","year":2023,"lang":"en","type":"article","venue":"Journal of High Speed Networks","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Computer network; Zone Routing Protocol; Routing protocol; Wireless Routing Protocol; Path vector protocol; Distance-vector routing protocol; Dynamic Source Routing; Multipath routing; Load balancing (electrical power); Hazy Sighted Link State Routing Protocol; Link-state routing protocol; Distributed computing; Routing (electronic design automation)","retraction":null,"screen_n_in":null,"score":{"opus":0.02825589497607551,"gpt":0.3009281810961745,"spread":0.272672286120099,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001519012,0.0001067509,0.0002508717,0.0001181172,0.00007623104,0.00004995703,0.0004998581,0.00008118954,0.000003201973],"category_scores_gemma":[0.0002960237,0.0000859846,0.0001058135,0.000396816,0.00001956135,0.0003225845,0.00007030185,0.0001856628,0.000001885471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008926576,"about_ca_system_score_gemma":0.0002667425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001458404,"about_ca_topic_score_gemma":0.000001021518,"domain_scores_codex":[0.998692,0.00006132477,0.0005698597,0.0001410603,0.0002546293,0.0002811788],"domain_scores_gemma":[0.9979486,0.000532786,0.0007808779,0.0001950054,0.0004542867,0.00008839974],"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":[0.0005397245,0.0003750216,0.001918104,0.0001652365,0.0001746334,0.00003034855,0.004920218,0.6923776,0.02385945,0.001107865,0.02872744,0.2458043],"study_design_scores_gemma":[0.00126543,0.0003430016,0.001834184,0.0001200061,0.00001198458,0.00001493422,0.0000568086,0.9930885,0.002308198,0.0003853935,0.0004745501,0.00009705107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004131431,0.00001134443,0.9847317,0.0002792399,0.001345351,0.009446523,5.499258e-7,0.00003873834,0.00001510251],"genre_scores_gemma":[0.7025002,0.000008791915,0.2942003,0.00009163831,0.001611875,0.001444937,0.000001255977,0.00002073568,0.0001202396],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6983688,"threshold_uncertainty_score":0.3506351,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4400418492","doi":"10.1007/s40747-024-01509-w","title":"Multi-view subspace clustering based on multi-order neighbor diffusion","year":2024,"lang":"en","type":"article","venue":"Complex & Intelligent Systems","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"National Natural Science Foundation of China; University of Alberta; National Science Foundation","keywords":"Computational intelligence; Cluster analysis; Order (exchange); Diffusion; Subspace topology; Computer science; Pattern recognition (psychology); Mathematics; Data mining; Artificial intelligence; Physics; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.08264802186729615,"gpt":0.3291653619423766,"spread":0.2465173400750804,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004664042,0.000348783,0.0003514815,0.0003016359,0.0001981977,0.0005716066,0.0009226939,0.0001187179,0.00009307394],"category_scores_gemma":[0.0001006661,0.0002920362,0.0001532646,0.0006419618,0.00005033468,0.0002667442,0.0002119411,0.0002604875,0.00125691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686011,"about_ca_system_score_gemma":0.0001362065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000273924,"about_ca_topic_score_gemma":0.0001180443,"domain_scores_codex":[0.9975367,0.0001952217,0.0005551621,0.0007985698,0.000445673,0.0004687239],"domain_scores_gemma":[0.9982091,0.0003529984,0.0001196344,0.0009283381,0.0001714489,0.0002185504],"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":[0.0001333065,0.006703686,0.005866184,0.009199755,0.0005313574,0.0004209656,0.04268386,0.2113114,0.05186367,0.03501426,0.06715376,0.5691178],"study_design_scores_gemma":[0.0002009805,0.00007453092,0.001015728,0.0006907249,0.000010484,0.00001271265,0.0001633263,0.9024189,0.0003352961,0.000007732478,0.09476369,0.0003058913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001543438,0.00216624,0.983806,0.0008053235,0.009657978,0.0009000746,0.000008314056,0.0006367263,0.0004758653],"genre_scores_gemma":[0.9367914,0.0001190204,0.05927566,0.0004213022,0.0005399526,0.0002172858,0.00004648486,0.00005905929,0.002529883],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9352479,"threshold_uncertainty_score":0.9999532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402643247","doi":"10.1007/s11036-024-02430-9","title":"Multi-Objective Recommendation for Massive Remote Teaching Resources","year":2024,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Multimedia; Data science; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.01302865656707569,"gpt":0.2982140943567327,"spread":0.285185437789657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317545,0.00008748644,0.00007502628,0.00005884398,0.0003270647,0.0002077661,0.0001634178,0.00005827766,0.000004236733],"category_scores_gemma":[0.0000131393,0.00008021112,0.00003636677,0.0001650246,0.00002699598,0.000263398,0.00005961743,0.0001425191,0.000007330351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003776326,"about_ca_system_score_gemma":0.00002223497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002366369,"about_ca_topic_score_gemma":0.000006812896,"domain_scores_codex":[0.9992875,0.00002824477,0.0001374323,0.0003556306,0.00004326494,0.000147909],"domain_scores_gemma":[0.9993265,0.0003358878,0.00004404243,0.0001927269,0.00004309044,0.00005773599],"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":[0.000001228672,0.00003471399,0.00001358638,0.00001528561,0.00001266082,9.150971e-8,0.0008165512,0.004540967,0.0001046717,0.0102496,0.002153665,0.982057],"study_design_scores_gemma":[0.00006487218,0.00002252901,0.0001203997,0.00001648851,0.000007710592,0.000001611334,0.0001453367,0.6576355,0.00002674465,0.0009358031,0.3409511,0.00007184435],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005227335,0.0006665448,0.9957682,0.001058888,0.0003144895,0.000970168,0.000007583068,0.0001952261,0.0004961196],"genre_scores_gemma":[0.7336634,0.0005120412,0.2581576,0.0003825383,0.001739678,0.00436078,0.0001561245,0.0000323081,0.0009954919],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9819852,"threshold_uncertainty_score":0.3270915,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402614182","doi":"10.23977/acss.2024.080601","title":"Application of Robot Dynamic Tracking Predictive Control in Mechanical Control Engineering Course","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Course (navigation); Model predictive control; Control (management); Tracking (education); Control engineering; Robot control; Computer science; Robot; Engineering; Artificial intelligence; Mobile robot; Psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.005569767966435708,"gpt":0.2627596620117137,"spread":0.257189894045278,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004935676,0.0001212818,0.0002807042,0.0001440106,0.00001650691,0.00007775511,0.0002356391,0.00006409159,3.30885e-7],"category_scores_gemma":[0.00001084085,0.0001110139,0.00003172535,0.0002556667,0.0000198199,0.0006042384,0.00002864907,0.0001332164,0.000001346729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005295444,"about_ca_system_score_gemma":0.00003777676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000274887,"about_ca_topic_score_gemma":0.00001000548,"domain_scores_codex":[0.9988328,0.00007309746,0.0004080799,0.0003461281,0.0001602615,0.0001796716],"domain_scores_gemma":[0.999118,0.0005310547,0.00008216303,0.0001731421,0.00004970019,0.00004599495],"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":[0.00001011174,0.00008236725,0.00161613,0.0002620381,0.00002441361,0.00001014622,0.0009598303,0.8257003,0.002355377,0.009352457,0.000004953493,0.1596218],"study_design_scores_gemma":[0.0004665692,0.00008373845,0.002166712,0.0003896515,0.000006490275,0.00001191762,0.00002672491,0.9960685,0.0000485307,0.0004396977,0.0001862756,0.000105201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004149642,0.01395197,0.979802,0.0001220311,0.001404162,0.0004922207,0.000005774358,0.0000648161,0.000007380005],"genre_scores_gemma":[0.9930668,0.0001668233,0.006472352,0.00002526168,0.0001250268,0.0001320552,0.00000206317,0.000008026122,0.000001517627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9889172,"threshold_uncertainty_score":0.4527016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7161179859","doi":"10.1109/asim67379.2025.11512828","title":"Intelligent Feature Segmentation Technology for Hilly and Mountainous Areas Based on Deep Learning","year":2025,"lang":"","type":"article","venue":"","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Deep learning; Feature (linguistics); Segmentation; Pattern recognition (psychology); Field (mathematics); Image segmentation","retraction":null,"screen_n_in":null,"score":{"opus":0.009167360315565434,"gpt":0.2820525721167865,"spread":0.2728852118012211,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002841274,0.0002405005,0.0002065261,0.0005957635,0.0004155409,0.0001986467,0.0003518811,0.0002997322,0.00003134643],"category_scores_gemma":[0.0004243068,0.0002296758,0.00005908899,0.0007032091,0.0001110083,0.0001753158,0.0001155287,0.0003326827,0.00001326361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516993,"about_ca_system_score_gemma":0.0002528648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002227466,"about_ca_topic_score_gemma":0.00002607724,"domain_scores_codex":[0.9984856,0.00006321274,0.0002609477,0.00066055,0.0001731364,0.0003565878],"domain_scores_gemma":[0.9986737,0.0005038397,0.0001362413,0.0003481664,0.0002575063,0.00008055152],"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":[0.00005454869,0.0002137666,0.004229253,0.00009723045,0.00003031886,0.000001118655,0.00130929,0.003947055,0.0003801649,0.01723614,0.0006195584,0.9718816],"study_design_scores_gemma":[0.0006972945,0.0006445104,0.001832492,0.0001369316,0.00004760114,0.000003362122,0.001932273,0.9678917,0.01437855,0.003337535,0.008851167,0.0002465646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00860897,0.0006600434,0.9658854,0.02047358,0.00171825,0.001096977,0.000001700621,0.0001539947,0.001401091],"genre_scores_gemma":[0.8553842,0.000191819,0.1380675,0.001917616,0.00009765894,0.0002438426,0.0000265337,0.00001375876,0.004057093],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.971635,"threshold_uncertainty_score":0.9365909,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6936638974","doi":"10.58079/arif","title":"Le cardinal Merry del Val. Une synthèse biographique","year":2017,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Subject (documents); Set (abstract data type); Work (physics); Biography","retraction":null,"screen_n_in":null,"score":{"opus":0.03282613607373228,"gpt":0.2837930208196282,"spread":0.2509668847458959,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001206106,0.000641773,0.0006503388,0.000410141,0.003526261,0.002362201,0.002693786,0.0005463216,0.0009065009],"category_scores_gemma":[0.0005830128,0.0007543545,0.0004888215,0.0006392616,0.001228181,0.03941955,0.0007815504,0.0006559162,0.003108333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002288735,"about_ca_system_score_gemma":0.001299702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006141015,"about_ca_topic_score_gemma":0.004077969,"domain_scores_codex":[0.9953679,0.0003980736,0.0008755865,0.001382729,0.000961211,0.001014441],"domain_scores_gemma":[0.9944658,0.0002957928,0.0009855637,0.002513064,0.001028712,0.0007111185],"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":[0.0000453584,0.0008817361,0.0005752743,0.0001225272,0.0001825261,0.0001289093,0.0005330691,0.0001460185,0.000428101,0.8483947,0.08469907,0.06386272],"study_design_scores_gemma":[0.002184371,0.0004197338,0.157794,0.0009062417,0.000276358,0.0003384485,0.0004314466,0.006657568,0.005160461,0.02565144,0.7985587,0.00162122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00720912,0.005307678,0.1413774,0.699051,0.05362016,0.001941031,0.0006927256,0.0003856724,0.09041524],"genre_scores_gemma":[0.9188152,0.002551047,0.03577728,0.01825694,0.00627802,0.0008823994,0.0008204239,0.0001065099,0.0165122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9116061,"threshold_uncertainty_score":0.9994907,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W6922058373","doi":"10.11575/prism/25141","title":"Birds, Buildings and LEED Mitigation Design at the University of Calgary Campus","year":2014,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Hyporeflexia; Diafiltration; Dysgeusia; Liquation; Fusible alloy","retraction":null,"screen_n_in":null,"score":{"opus":0.007741047816507615,"gpt":0.1848607528800258,"spread":0.1771197050635182,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002256994,0.000154169,0.0002569267,0.000192595,0.0001902795,0.000008667245,0.0007616944,0.0002482862,0.000226787],"category_scores_gemma":[0.00002046248,0.0001637142,0.0000795693,0.0001638359,0.0004141056,0.0001412098,0.0003901384,0.00015204,0.00003796703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007864659,"about_ca_system_score_gemma":0.0001305608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004038299,"about_ca_topic_score_gemma":0.0001064109,"domain_scores_codex":[0.999038,0.0001434803,0.00008404523,0.0003385872,0.0002384421,0.0001574335],"domain_scores_gemma":[0.9988734,0.0001449984,0.0003795509,0.0004447786,0.00006214434,0.00009511975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005833896,0.0001124045,0.0008095859,0.0002299305,0.0001959369,0.00002077764,0.008919715,0.000003131468,0.001098458,0.006944518,0.5446616,0.4369456],"study_design_scores_gemma":[0.001651006,0.0001933923,0.009437075,0.0003334955,0.000282904,0.00001455861,0.0002736377,0.09038239,0.0005699162,0.00118009,0.894996,0.0006854913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001489713,0.0004816558,0.9700968,0.0004852524,0.0002666246,0.0003514611,7.751585e-7,0.00008535457,0.02674233],"genre_scores_gemma":[0.002791647,0.001338255,0.6147116,0.0001001788,0.00005967481,3.312902e-7,0.00003834399,0.00009079608,0.3808692],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4362601,"threshold_uncertainty_score":0.6676072,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391021184","doi":"10.1109/smarttechcon57526.2023.10391400","title":"Study on Influence of Seasonal Freeze-thaw Environment on Crack Evolution of Expansive Soil in Subgrade Based on Genetic Algorithm","year":2023,"lang":"en","type":"article","venue":"","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Subgrade; Geotechnical engineering; Expansive clay; Frost (temperature); Frost heaving; Expansive; Environmental science; Deformation (meteorology); Materials science; Geology; Soil water; Compressive strength; Soil science; Composite material","retraction":null,"screen_n_in":null,"score":{"opus":0.01353049478632,"gpt":0.2550275953422137,"spread":0.2414971005558937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002269246,0.0001295496,0.0001549687,0.0002651966,0.0000309184,0.000008779902,0.0003761746,0.00004985131,0.00001544165],"category_scores_gemma":[0.00005899287,0.0001178675,0.00003927542,0.0004271139,0.00005161808,0.00009317515,0.00006720057,0.0001066304,0.00009604937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146467,"about_ca_system_score_gemma":0.000113279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000446283,"about_ca_topic_score_gemma":0.00003184027,"domain_scores_codex":[0.998446,0.0001153318,0.0002743847,0.0003726698,0.000595434,0.000196167],"domain_scores_gemma":[0.9990012,0.0002749629,0.000118874,0.0005069137,0.00003869494,0.00005935072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004628192,0.004052233,0.1878927,0.00002608088,0.00002043,0.00001648374,0.006678832,0.7492377,0.00321474,0.0006350768,0.0004936442,0.04768575],"study_design_scores_gemma":[0.0005140577,0.0009643253,0.8204238,0.00003732854,0.000003503491,2.140092e-7,0.0005343645,0.1709654,0.006290241,0.0001656142,0.000007997025,0.00009319058],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788494,0.000006923557,0.02009173,0.0002935812,0.0001728916,0.0004170792,0.000008085956,0.00003618427,0.0001241931],"genre_scores_gemma":[0.9929126,0.000006324751,0.006799732,0.00009922133,0.0000302492,0.00007000755,0.000004808078,0.000007100772,0.00006996356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6325311,"threshold_uncertainty_score":0.4806496,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7155371327","doi":"10.1145/3797552.3797608","title":"Research on Automation of Scaled User Management and Teaching Resource Scheduling for Online Education Platforms","year":2025,"lang":"","type":"article","venue":"","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Bottleneck; Scheduling (production processes); Automation; Resource Management System; User interface; Scheme (mathematics); Dynamic priority scheduling; Resource management (computing)","retraction":null,"screen_n_in":null,"score":{"opus":0.04867636428985538,"gpt":0.4087299974824508,"spread":0.3600536331925954,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00271081,0.0001857367,0.0002228393,0.001073295,0.0005673062,0.0002071808,0.0005471676,0.0001512999,0.0000134549],"category_scores_gemma":[0.0003327736,0.0001714528,0.00006208712,0.0005322633,0.0001198874,0.0005173046,0.0003424524,0.0003894503,0.000008090784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287887,"about_ca_system_score_gemma":0.0003706131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000623411,"about_ca_topic_score_gemma":0.00001232024,"domain_scores_codex":[0.9977378,0.0001193761,0.0006025624,0.0006434274,0.00050298,0.0003938307],"domain_scores_gemma":[0.9978484,0.0008423357,0.0001815928,0.0006318612,0.0003925059,0.000103328],"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":[0.00005313832,0.0008913391,0.000250169,0.0005163999,0.00003945489,7.385171e-8,0.001564267,0.0006672429,0.00009974338,0.3780131,0.00295107,0.614954],"study_design_scores_gemma":[0.001272579,0.000399291,0.02265863,0.00217606,0.000062184,0.000001143875,0.01125708,0.9217408,0.002423017,0.01520867,0.02251813,0.0002824175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4533038,0.0002479259,0.5251528,0.00421458,0.001288161,0.001906983,0.000004481536,0.00005769741,0.01382359],"genre_scores_gemma":[0.5950582,0.00006245527,0.3883911,0.0003457256,0.0001850574,0.0001352662,0.00003991149,0.00001052309,0.01577172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9210736,"threshold_uncertainty_score":0.6991642,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4409605096","doi":"10.61091/jcmcc127b-337","title":"A study on modeling the association between students’ psychological changes and athletic performance in physical education based on numerical computational methods","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false},"ca_institutions":"","funders":"","keywords":"Association (psychology); Physical education; Psychology; Mathematics education; Computer science; Applied psychology; Psychotherapist","retraction":null,"screen_n_in":null,"score":{"opus":0.03366751833604294,"gpt":0.384891513164307,"spread":0.3512239948282641,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002935378,0.0001986079,0.0004681611,0.0002730494,0.0002484894,0.0002673353,0.0005569207,0.00009767354,2.582672e-7],"category_scores_gemma":[0.0006338352,0.000145418,0.00006005145,0.0004880789,0.00002794893,0.0001223077,0.0001670702,0.0005631737,7.010025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002049721,"about_ca_system_score_gemma":0.0001506396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003147194,"about_ca_topic_score_gemma":9.535929e-8,"domain_scores_codex":[0.9977525,0.0004598205,0.0005821784,0.0002662422,0.0007314082,0.0002078108],"domain_scores_gemma":[0.9962072,0.002689575,0.0005193861,0.0002112011,0.0002957589,0.00007685637],"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":[0.0002815325,0.02362655,0.1039774,0.0002417772,0.0003377043,0.000008241268,0.02686848,0.03440261,0.00003715727,0.6624027,0.0001387253,0.1476771],"study_design_scores_gemma":[0.003190401,0.002024313,0.03864685,0.0003650727,0.00007611889,0.000003730442,0.0007178014,0.7719586,0.00002485167,0.1827698,0.00003068728,0.0001917833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9163001,0.00002742797,0.0769169,0.0009436848,0.005172439,0.0004178778,2.40752e-7,0.0000178209,0.0002034913],"genre_scores_gemma":[0.9883369,0.000004880452,0.01092861,0.000125299,0.0005810655,0.00001215958,6.505082e-7,0.000008244316,0.000002242924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.737556,"threshold_uncertainty_score":0.5929976,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4402662653","doi":"10.1249/01.mss.0001056024.87883.99","title":"Objective Training Load Monitoring Using Smart Swim Goggles","year":2024,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"AI and Multimedia in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Training (meteorology); Computer science; Aeronautics; Environmental science; Engineering; Meteorology; Geography","retraction":null,"screen_n_in":null,"score":{"opus":0.0394193597761851,"gpt":0.3270572749551582,"spread":0.2876379151789731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002726655,0.0002086164,0.0002895319,0.0006608264,0.0002422847,0.0001524079,0.0008583892,0.00005605958,0.00002792374],"category_scores_gemma":[0.000336257,0.0001709362,0.00004158303,0.002830531,0.0005666761,0.002083758,0.0001715372,0.0002828414,0.00001602193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005892321,"about_ca_system_score_gemma":0.001340279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005363923,"about_ca_topic_score_gemma":0.000007561061,"domain_scores_codex":[0.9969009,0.00002097776,0.0004018255,0.0007267702,0.001256959,0.0006925652],"domain_scores_gemma":[0.9988873,0.0001346088,0.00008252446,0.0004727552,0.0001547213,0.0002680688],"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":[0.000003437744,0.00005561993,0.2381361,0.00003641526,4.669013e-7,0.0001334908,0.1243813,0.0002270296,0.001715354,0.0001400815,0.0001402327,0.6350304],"study_design_scores_gemma":[0.000306381,0.00008277116,0.8599581,0.004044046,0.00003347422,0.0001272678,0.01881846,0.1110327,0.0008853417,0.002191724,0.001948841,0.0005708285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972235,0.0008118958,0.01228127,0.0004722317,0.01190164,0.0002684824,3.010452e-7,0.0002052924,0.001823899],"genre_scores_gemma":[0.9821623,0.0001622108,0.01673198,0.00004617329,0.000690874,0.00003184144,5.722798e-7,0.00001271648,0.0001613079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6344596,"threshold_uncertainty_score":0.6970577,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}