{"meta":{"query_hash":"90662051a3b3","filters":{"topic":"AI and Multimedia in Education"},"cohort_total":32,"direct_labels_cover":0,"predictions_cover":32,"exported":32,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/90662051a3b3","api":"https://metacan.xera.ac/api/v1/cohort?topic=AI+and+Multimedia+in+Education"},"results":[{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01131857584814981,"score_gpt":0.2767491375473509,"score_spread":0.2654305616992011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965481567","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019470687,0.0000878512,0.99713707,0.000044115463,0.00002222805,0.000019821178,0.0000065124195,0.00011897109,0.00061636954],"genre_scores_gemma":[0.4400757,0.00059029466,0.55162275,0.00017917492,0.000112359856,0.00027630624,0.000097586984,0.00012108017,0.00692473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961394,0.00008632344,0.000016871667,0.000087586384,0.00017190106,0.000023286964],"domain_scores_gemma":[0.9994338,0.00025979042,0.000049169335,0.000060123002,0.00017331837,0.00002370343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007142019,0.00044333193,0.00045320232,0.0005971188,0.0004195899,0.00043991485,0.00090248324,0.000576049,0.0016377495],"category_scores_gemma":[0.0025946987,0.0002272465,0.00051384873,0.0005087691,0.0005119189,0.00093113416,0.0006752702,0.00091785984,0.0003343758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006885823,0.00008531643,0.00090597366,0.00011672433,0.000055803095,0.00009017375,0.00013750694,0.57111734,0.009232084,0.038783703,0.0023508843,0.37705564],"study_design_scores_gemma":[0.0000035407365,0.00001808006,0.0001068565,0.0000037190987,0.00000429252,0.00003149402,0.0000054645266,0.9942984,0.0011336404,0.0032907391,0.0010971134,0.0000066631364],"about_ca_topic_score_codex":0.003544093,"about_ca_topic_score_gemma":0.0029117172,"teacher_disagreement_score":0.003544093,"about_ca_system_score_codex":0.00063171407,"about_ca_system_score_gemma":0.0005684193,"threshold_uncertainty_score":0.007046938},"labels":[],"label_agreement":null},{"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03703419125600126,"score_gpt":0.2813361211476854,"score_spread":0.24430192989168414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973341182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.122894734,0.0005178756,0.8708358,0.0005258607,0.000112134345,0.00013175698,0.00019487616,0.0002233086,0.0045637707],"genre_scores_gemma":[0.9314638,0.00025618123,0.06598798,0.00007528482,0.00004413888,0.0001399058,0.00012522216,0.000081160295,0.0018262886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910754,0.00034138802,0.000036708585,0.00016815272,0.00017409759,0.0001721182],"domain_scores_gemma":[0.9986765,0.00079465413,0.0001918436,0.000064532105,0.00014301843,0.00012953891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001312365,0.0010145999,0.000768818,0.0005807799,0.0007007722,0.000911811,0.00081914105,0.00061347714,0.0013011215],"category_scores_gemma":[0.0029312174,0.00046625923,0.0005551682,0.00077795365,0.0006318514,0.0014551412,0.0007879332,0.0005720676,0.000127503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052834253,0.000024072127,0.0004486853,0.0000370313,0.000024281411,0.000031206564,0.000026245803,0.9857401,0.0007985777,0.0059761186,0.00044101625,0.0063998024],"study_design_scores_gemma":[0.00000461052,0.000010384093,0.00010923732,0.0000013910892,0.000003052513,0.000004265555,0.00001423465,0.99625397,0.00015789588,0.0032668286,0.0001719728,0.000002026209],"about_ca_topic_score_codex":0.005722978,"about_ca_topic_score_gemma":0.0050411266,"teacher_disagreement_score":0.005722978,"about_ca_system_score_codex":0.0018335495,"about_ca_system_score_gemma":0.0016394554,"threshold_uncertainty_score":0.0133033395},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03998929395975895,"score_gpt":0.2560017603516057,"score_spread":0.21601246639184676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997275290","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13096513,0.0005199379,0.85964674,0.00015160277,0.00029787503,0.00009556434,0.00024510548,0.0034322578,0.0046457765],"genre_scores_gemma":[0.7640843,0.00057231076,0.22517167,0.00011641206,0.00010040785,0.000107720356,0.0007219189,0.00010138073,0.009023862],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998006,0.000016607622,0.000011784533,0.000060500362,0.00006944476,0.00004097565],"domain_scores_gemma":[0.9998235,0.000023702181,0.000015747311,0.000015446634,0.00010614965,0.000015491083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026714767,0.00055103947,0.0006742487,0.0009487732,0.00029954268,0.00055402616,0.000595409,0.0005559964,0.0019109179],"category_scores_gemma":[0.0004711409,0.00023446826,0.0004703153,0.0006343842,0.00018643595,0.00058657414,0.00031277293,0.00051449053,0.00074459106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041169368,0.00015176914,0.00468967,0.0001238797,0.000063992105,0.000225878,0.000058797996,0.0373086,0.106548965,0.0026635842,0.005708107,0.84204507],"study_design_scores_gemma":[0.0000205777,0.00009316101,0.0053610723,0.00001840765,0.000058919937,0.00021941992,0.000028703453,0.9521407,0.038777273,0.0011245785,0.0021295554,0.00002755923],"about_ca_topic_score_codex":0.0050646504,"about_ca_topic_score_gemma":0.0043160873,"teacher_disagreement_score":0.0050646504,"about_ca_system_score_codex":0.0003815279,"about_ca_system_score_gemma":0.0007586762,"threshold_uncertainty_score":0.010070324},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.034035409198301635,"score_gpt":0.29136876450996463,"score_spread":0.257333355311663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036643472","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03587161,0.00015311078,0.95876646,0.00027561758,0.00007277289,0.000078972225,0.000033322307,0.0008882132,0.0038599758],"genre_scores_gemma":[0.67514914,0.00007594916,0.31935495,0.00025244325,0.000049394483,0.00011017958,0.00010353198,0.00017696303,0.0047273543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988599,0.00038011905,0.00007219218,0.00021601825,0.00034127623,0.00013060303],"domain_scores_gemma":[0.99616015,0.0016731096,0.0003372969,0.0008742068,0.00083918485,0.000116102485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00361909,0.000706718,0.0011336316,0.001078915,0.0007457312,0.0013764427,0.0026548796,0.0027503096,0.005685362],"category_scores_gemma":[0.009243561,0.00070371217,0.0008313004,0.0006035799,0.0013940703,0.0018022336,0.0021084906,0.0013005444,0.00066534494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085320737,0.00028385656,0.0021303005,0.00018968672,0.00023498663,0.00032520088,0.00013337584,0.5563508,0.035361767,0.072202355,0.002847296,0.32908714],"study_design_scores_gemma":[0.000027470001,0.00005791468,0.00017715892,0.000013245876,0.000015922999,0.0000721444,0.0000072326584,0.988586,0.0057751513,0.0048621004,0.00039280535,0.000012836997],"about_ca_topic_score_codex":0.0023785515,"about_ca_topic_score_gemma":0.00260828,"teacher_disagreement_score":0.005685362,"about_ca_system_score_codex":0.00075477886,"about_ca_system_score_gemma":0.0013173611,"threshold_uncertainty_score":0.019139826},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.016847889447597308,"score_gpt":0.2685576800555142,"score_spread":0.25170979060791693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042727720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91224855,0.00023377601,0.08385555,0.00013825762,0.000046974557,0.00003975547,0.00014394145,0.0004408647,0.002852219],"genre_scores_gemma":[0.9890984,0.00007636543,0.010231764,0.000030569823,0.000011532073,0.000011991116,0.000055051605,0.000007862369,0.00047647217],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998222,0.000033935055,0.000010728175,0.00003961916,0.00007092518,0.000022641889],"domain_scores_gemma":[0.9997764,0.000049659877,0.000047379508,0.000021831655,0.00008702457,0.000017639593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021577632,0.00025448253,0.00019900563,0.00062158715,0.00018657802,0.00034649184,0.00025369276,0.00025221246,0.00065389],"category_scores_gemma":[0.0005709207,0.00009311201,0.00013027656,0.00026153843,0.00014163658,0.0003812499,0.0003774556,0.00014615981,0.0002370076],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094123953,0.00021735848,0.073487036,0.00021649332,0.000047762354,0.0006498031,0.0007824701,0.013167414,0.49674615,0.0015716758,0.0016459574,0.4105265],"study_design_scores_gemma":[0.000043840024,0.001813739,0.15565164,0.000087177315,0.00015412526,0.0014441005,0.00096400885,0.48333067,0.34774226,0.0021981928,0.006456576,0.00011369546],"about_ca_topic_score_codex":0.0006997409,"about_ca_topic_score_gemma":0.00062248413,"teacher_disagreement_score":0.0006997409,"about_ca_system_score_codex":0.00016875361,"about_ca_system_score_gemma":0.0001926846,"threshold_uncertainty_score":0.0021874905},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.01352220765415942,"score_gpt":0.28443579125442064,"score_spread":0.27091358360026124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096871394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024065895,0.0003031903,0.97421956,0.000116002855,0.000027810087,0.000046146488,0.00006612701,0.00045268462,0.00070263137],"genre_scores_gemma":[0.3297416,0.00080034544,0.6659914,0.00011588772,0.00006345523,0.00012475208,0.00035134202,0.0002855244,0.0025257238],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997925,0.00002135655,0.000017955948,0.000045891495,0.00009473086,0.000027523593],"domain_scores_gemma":[0.99967957,0.00010397192,0.000045719535,0.00003574062,0.00011648645,0.00001857096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004048856,0.00045033768,0.00082675857,0.0013407316,0.00025042947,0.0009252054,0.0006272084,0.00074065384,0.0017726667],"category_scores_gemma":[0.001152583,0.00039288902,0.00085941557,0.0012144251,0.0002905351,0.0009709723,0.00047108476,0.00056113285,0.0005810637],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042211305,0.00009809225,0.0023355435,0.00031114693,0.00009224603,0.00025246298,0.00013652166,0.07178901,0.27616048,0.0055301795,0.0024286422,0.6404436],"study_design_scores_gemma":[0.000021042706,0.00010170829,0.0032877305,0.000021992815,0.00006725233,0.00041032952,0.0000299699,0.9369836,0.05431224,0.0025949718,0.0021400005,0.000029200808],"about_ca_topic_score_codex":0.0012704724,"about_ca_topic_score_gemma":0.0010783338,"teacher_disagreement_score":0.0017726667,"about_ca_system_score_codex":0.00032985385,"about_ca_system_score_gemma":0.00061665144,"threshold_uncertainty_score":0.0059301853},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_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","score_opus":0.014084655741066519,"score_gpt":0.32881530731278635,"score_spread":0.3147306515717198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128022572","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07447255,0.00024169435,0.8783939,0.0006491342,0.00038514528,0.0010386133,0.00019681982,0.0019089318,0.04271319],"genre_scores_gemma":[0.5550191,0.0006696208,0.4131102,0.00038561627,0.00015621973,0.0019153762,0.00034047785,0.00035443416,0.028048923],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991197,0.00020464559,0.000041731717,0.00017134399,0.0003827296,0.00007989717],"domain_scores_gemma":[0.9989091,0.00031847024,0.00006868151,0.00018789548,0.00040255033,0.00011319325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013284727,0.00052501005,0.0002903064,0.00045596782,0.00051088474,0.0006339578,0.0010234539,0.00053693366,0.012254405],"category_scores_gemma":[0.0023757864,0.000265314,0.0004028449,0.00024336252,0.0005078292,0.00087838346,0.00062747323,0.00078405975,0.0017417056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00101314,0.0021502003,0.006806088,0.0013933796,0.00008112403,0.00042593235,0.0010510075,0.10576398,0.23501061,0.08956302,0.016620526,0.54012084],"study_design_scores_gemma":[0.00051321,0.0036766825,0.009149195,0.0002719741,0.00014945096,0.00089334947,0.0004979447,0.4830112,0.33018637,0.03362496,0.13789195,0.00013382867],"about_ca_topic_score_codex":0.0005260269,"about_ca_topic_score_gemma":0.0005491977,"teacher_disagreement_score":0.012254405,"about_ca_system_score_codex":0.00059258484,"about_ca_system_score_gemma":0.00094385206,"threshold_uncertainty_score":0.04099512},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.010254372835974808,"score_gpt":0.2699378903529065,"score_spread":0.2596835175169317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171599904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10794517,0.0010209468,0.87587154,0.0014290471,0.00010968321,0.00029175504,0.0001799008,0.0004485954,0.012703375],"genre_scores_gemma":[0.9551115,0.0006522465,0.04085025,0.00010865271,0.00004275573,0.00018831172,0.000102430575,0.000015415259,0.0029282651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978362,0.0007953952,0.00014301413,0.00020152073,0.00080627284,0.00021770477],"domain_scores_gemma":[0.99812216,0.001043623,0.00018762,0.00032710342,0.00021856322,0.00010085823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016808466,0.0002952531,0.00048363904,0.00051728525,0.0010454028,0.0013708195,0.00070641906,0.0009620141,0.002418354],"category_scores_gemma":[0.0033500525,0.00020836093,0.0004186005,0.000837145,0.0010889916,0.0025889936,0.0015302984,0.00055008964,0.00035466722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010299488,0.00024993086,0.0061572795,0.00062775175,0.00016016174,0.0015394476,0.0014298019,0.48979712,0.055562686,0.2669766,0.0042418065,0.17222746],"study_design_scores_gemma":[0.00015571556,0.00030074327,0.0007201282,0.00005252727,0.00005183566,0.00048803908,0.000096288655,0.8965083,0.01675705,0.07449325,0.010328964,0.000047218782],"about_ca_topic_score_codex":0.0021422948,"about_ca_topic_score_gemma":0.0013197146,"teacher_disagreement_score":0.002418354,"about_ca_system_score_codex":0.0007678699,"about_ca_system_score_gemma":0.0023439652,"threshold_uncertainty_score":0.0088893175},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.03340543508140317,"score_gpt":0.32088904258849477,"score_spread":0.28748360750709157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205910703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013241585,0.00017623078,0.98262966,0.00017918006,0.000049765902,0.000042841155,0.000031876127,0.00032919756,0.003319691],"genre_scores_gemma":[0.4897521,0.00044016764,0.5023646,0.00025347673,0.0000660396,0.0004104152,0.00026263783,0.00010748531,0.0063431044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997825,0.00005399782,0.000010542311,0.000042271316,0.00007962146,0.000031079893],"domain_scores_gemma":[0.99978715,0.00008849651,0.00002280227,0.000011422548,0.00007911365,0.000011073827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045708363,0.0006072992,0.00050803105,0.00064689096,0.00046654043,0.00063707435,0.00082846824,0.00086735014,0.0019250509],"category_scores_gemma":[0.00088625494,0.00028228585,0.0004804811,0.00055859785,0.00038679285,0.00063929136,0.00048939016,0.00071699865,0.00021223839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030929,0.000034092773,0.0004266094,0.000027645896,0.00002743065,0.000025764482,0.000039425468,0.9232621,0.0020083245,0.010726043,0.0011262698,0.06226531],"study_design_scores_gemma":[0.0000111774125,0.000013525547,0.000052318206,0.0000023200778,0.0000036876704,0.000006930821,0.000004036887,0.99775344,0.00022240252,0.0015342833,0.00039326094,0.0000027345802],"about_ca_topic_score_codex":0.009486663,"about_ca_topic_score_gemma":0.004964096,"teacher_disagreement_score":0.009486663,"about_ca_system_score_codex":0.0008596211,"about_ca_system_score_gemma":0.0013391172,"threshold_uncertainty_score":0.018862903},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.008379727889555873,"score_gpt":0.27532911698798346,"score_spread":0.2669493890984276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210800048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12202295,0.0015254203,0.85971886,0.0004473267,0.0003410766,0.00010210551,0.00010985424,0.00056832796,0.015164016],"genre_scores_gemma":[0.7884125,0.00074391713,0.18765597,0.00014913913,0.00017059567,0.00008111361,0.00014353682,0.00007649334,0.022566754],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997861,0.000024683432,0.000014587258,0.000036947054,0.000109453074,0.000028376366],"domain_scores_gemma":[0.99985087,0.0000226753,0.000022084745,0.00004157735,0.00005056941,0.000012246086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012513224,0.00032614122,0.00033079545,0.00033193492,0.00034095912,0.0003602679,0.00036749933,0.00032179558,0.003111248],"category_scores_gemma":[0.00030595533,0.00015101903,0.0003462247,0.0002844664,0.00023915796,0.0007654688,0.00064293115,0.00048599127,0.0008529498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000760255,0.0001024005,0.0009181513,0.0003923672,0.0000780988,0.00036568026,0.00020151121,0.0097259935,0.6502552,0.035989154,0.004487524,0.29672366],"study_design_scores_gemma":[0.00017336286,0.0006405138,0.0020840897,0.00005516266,0.00016967833,0.0036193659,0.00011641741,0.42569634,0.5237051,0.011308785,0.032295655,0.00013551682],"about_ca_topic_score_codex":0.0002395964,"about_ca_topic_score_gemma":0.0002997849,"teacher_disagreement_score":0.003111248,"about_ca_system_score_codex":0.0002396841,"about_ca_system_score_gemma":0.00026844162,"threshold_uncertainty_score":0.010408163},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.10020558974994306,"score_gpt":0.3380997005839064,"score_spread":0.23789411083396336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283830356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13884367,0.0002645957,0.84255517,0.00082431093,0.0001938798,0.0006619811,0.00021006892,0.0040066154,0.012439699],"genre_scores_gemma":[0.7833813,0.0002178833,0.20786524,0.00019870253,0.000050293318,0.00059959036,0.0004455408,0.00008665783,0.00715483],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994831,0.00008933557,0.00003883272,0.00014197524,0.00015970442,0.00008710531],"domain_scores_gemma":[0.99970883,0.000031589745,0.000030474446,0.000041029445,0.00013593378,0.00005206272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059188745,0.0005082306,0.00047472623,0.0007004107,0.0009609739,0.0014405978,0.0012903688,0.0006687262,0.002612743],"category_scores_gemma":[0.0007467553,0.0002943206,0.00048493248,0.00045765436,0.000281739,0.0015324631,0.0010661259,0.00043768558,0.00078177045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007780594,0.001014242,0.028604373,0.00057699665,0.00027936883,0.0013465976,0.0012884861,0.2594301,0.103865735,0.03979012,0.024457138,0.53856874],"study_design_scores_gemma":[0.000071343326,0.00022843212,0.0038723624,0.000028060798,0.000073061936,0.00015716914,0.00028555514,0.95211715,0.022134397,0.0049190074,0.016066678,0.0000468372],"about_ca_topic_score_codex":0.0027029044,"about_ca_topic_score_gemma":0.001900968,"teacher_disagreement_score":0.0027029044,"about_ca_system_score_codex":0.00068471505,"about_ca_system_score_gemma":0.0019794642,"threshold_uncertainty_score":0.008740485},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.018213042738417024,"score_gpt":0.25710870612040493,"score_spread":0.2388956633819879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306746417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16404906,0.00082877604,0.83013445,0.00025327096,0.000086976004,0.00006732981,0.00020577888,0.0013726776,0.003001727],"genre_scores_gemma":[0.86086094,0.000711235,0.13255808,0.00011901934,0.0000460746,0.000056846482,0.00054715754,0.00006308977,0.0050375448],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997665,0.000015031309,0.000011251888,0.00008702745,0.00006823037,0.000052053412],"domain_scores_gemma":[0.9998299,0.000031691103,0.000028012197,0.000020649817,0.000066048546,0.000023729925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036956568,0.00056608475,0.00053979905,0.00087351666,0.00038069062,0.0005074745,0.00073227054,0.00045347135,0.00088144024],"category_scores_gemma":[0.0006059919,0.00026862547,0.00052930036,0.0007641442,0.00020481503,0.0007906356,0.00051537645,0.0005924092,0.00025254764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027625702,0.00015013524,0.008955624,0.00009217739,0.00012114688,0.00017646076,0.00011783498,0.19546087,0.03646656,0.0020617363,0.0022496483,0.75387144],"study_design_scores_gemma":[0.0000035179864,0.000029884297,0.0016994416,0.0000049790915,0.000015884088,0.000031121817,0.000011944573,0.9928022,0.004575907,0.00047078627,0.00034910423,0.0000051613006],"about_ca_topic_score_codex":0.021878686,"about_ca_topic_score_gemma":0.019116815,"teacher_disagreement_score":0.021878686,"about_ca_system_score_codex":0.00089014316,"about_ca_system_score_gemma":0.0010185,"threshold_uncertainty_score":0.04350269},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Computer network","score_opus":0.00804519409956217,"score_gpt":0.2628724557191665,"score_spread":0.25482726161960434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315786311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010382738,0.00019362569,0.98317516,0.0008292371,0.000085498694,0.00008494603,0.00051521073,0.0011602461,0.003573382],"genre_scores_gemma":[0.49222988,0.0005279618,0.49326515,0.000791471,0.00024108455,0.0003987233,0.0014777785,0.0003325455,0.010735402],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992519,0.00023634396,0.00005247439,0.00022883156,0.00017125966,0.000059058097],"domain_scores_gemma":[0.99866664,0.000859143,0.0000809887,0.00013274186,0.00021018814,0.000050296716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070599135,0.00043636933,0.0005575178,0.0007837554,0.00065484823,0.0018237637,0.0013760646,0.0011081626,0.0046471343],"category_scores_gemma":[0.0029427581,0.0003329228,0.0010020512,0.0007161833,0.0007196986,0.0040260255,0.0008964391,0.0012515367,0.0013260494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046509464,0.00029434284,0.0021970125,0.00045675595,0.00013100462,0.0012066814,0.00106917,0.20593894,0.022371134,0.55361885,0.0164183,0.1958327],"study_design_scores_gemma":[0.00001604947,0.000031241896,0.00012814137,0.000012029394,0.000025471718,0.00013601051,0.0000520098,0.8954067,0.0017862307,0.09714955,0.0052435896,0.000012997008],"about_ca_topic_score_codex":0.007246356,"about_ca_topic_score_gemma":0.006759262,"teacher_disagreement_score":0.007246356,"about_ca_system_score_codex":0.0008995086,"about_ca_system_score_gemma":0.0011012355,"threshold_uncertainty_score":0.015546203},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.039302263870257474,"score_gpt":0.3385138064517002,"score_spread":0.2992115425814427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321437760","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022923443,0.0029500788,0.94838923,0.0017512685,0.0023597255,0.0006664461,0.00024734368,0.0034002902,0.017312057],"genre_scores_gemma":[0.45221004,0.0033724173,0.5120927,0.0016104154,0.0008416238,0.0008560216,0.0010671197,0.0004300894,0.027519468],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916506,0.00024486767,0.00009273173,0.00008222841,0.00032817264,0.000086951295],"domain_scores_gemma":[0.9989643,0.00029376647,0.00008941037,0.00020975793,0.00037694795,0.00006587259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011918525,0.0005024634,0.00066452805,0.000824587,0.0013296056,0.0013129839,0.0011261652,0.0009512777,0.002243345],"category_scores_gemma":[0.0020409818,0.00031067565,0.0006112596,0.0006396588,0.00040911286,0.0015583298,0.0014051548,0.0015178575,0.0007854971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006803675,0.00028685038,0.0012849283,0.00090609444,0.0003334117,0.0011109824,0.00053376483,0.044930886,0.10097062,0.14850579,0.055430107,0.64502615],"study_design_scores_gemma":[0.00030321674,0.0014644263,0.002102671,0.00027510864,0.0006731621,0.0030584657,0.00040275377,0.5745219,0.05847928,0.054468334,0.30385885,0.0003918612],"about_ca_topic_score_codex":0.0010432891,"about_ca_topic_score_gemma":0.003043607,"teacher_disagreement_score":0.002243345,"about_ca_system_score_codex":0.00042174433,"about_ca_system_score_gemma":0.000779111,"threshold_uncertainty_score":0.0075047016},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.07530240715770779,"score_gpt":0.3748383542075872,"score_spread":0.2995359470498794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372260415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8250901,0.00019528453,0.07346975,0.0066021737,0.00022027697,0.0043809395,0.0010889391,0.0010898649,0.087862544],"genre_scores_gemma":[0.800164,0.00043175995,0.13444196,0.0009350158,0.000041896226,0.0030823732,0.00065033225,0.00045706218,0.0597956],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798846,0.0008093479,0.00004342724,0.00022608804,0.00042878857,0.0005039237],"domain_scores_gemma":[0.9974026,0.00040555376,0.00009960174,0.0001388366,0.0006697172,0.0012835317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028126196,0.0008084733,0.00025834487,0.00077878434,0.0066021634,0.0024075587,0.0015178387,0.001474668,0.009020092],"category_scores_gemma":[0.0033898158,0.0005534015,0.00040697405,0.0006081023,0.0035085198,0.0010731171,0.0028828103,0.0009870206,0.0012712126],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008402636,0.0032654498,0.037222397,0.0010223925,0.000040166327,0.008171944,0.4435594,0.011173068,0.09218291,0.01231822,0.08580334,0.30440038],"study_design_scores_gemma":[0.00019031648,0.0024386123,0.046300955,0.00067675853,0.000053847558,0.0015196841,0.35928354,0.012447002,0.022435248,0.0033303283,0.55105394,0.0002697984],"about_ca_topic_score_codex":0.18749039,"about_ca_topic_score_gemma":0.5085801,"teacher_disagreement_score":0.8125096,"about_ca_system_score_codex":0.007008957,"about_ca_system_score_gemma":0.012783687,"threshold_uncertainty_score":0.3727982},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.02825589497607551,"score_gpt":0.30092818109617453,"score_spread":0.27267228612009903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380080183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014857436,0.00086260017,0.9787144,0.00019820296,0.00017529959,0.000202692,0.000051871462,0.0010680543,0.0038693454],"genre_scores_gemma":[0.52117294,0.0014105815,0.46935317,0.00017801255,0.00022083541,0.0006337177,0.00029579154,0.00017161062,0.0065633017],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992149,0.0001848096,0.000067322384,0.00014173912,0.0003166673,0.00007459047],"domain_scores_gemma":[0.9994754,0.00009246562,0.00006246509,0.00007472941,0.00026968287,0.00002531546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005693039,0.00048614855,0.00041212948,0.0006796333,0.0005231378,0.00066936965,0.0013962793,0.00052611134,0.0013759526],"category_scores_gemma":[0.0012320926,0.0002844759,0.00035926505,0.0004911235,0.00028043066,0.0011446554,0.00064009643,0.00066057686,0.0004360205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044700524,0.00015655038,0.0017946674,0.000815425,0.0002065876,0.00071461353,0.00041370807,0.21728182,0.24736728,0.066290036,0.0070223943,0.4574899],"study_design_scores_gemma":[0.00008460415,0.0005250349,0.0007466458,0.000059580074,0.00017075895,0.00093976915,0.0001011558,0.8695612,0.06219631,0.009639585,0.05588009,0.00009536298],"about_ca_topic_score_codex":0.00081685407,"about_ca_topic_score_gemma":0.00080108223,"teacher_disagreement_score":0.0013962793,"about_ca_system_score_codex":0.0005643584,"about_ca_system_score_gemma":0.000741526,"threshold_uncertainty_score":0.0046029687},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.010689723705309628,"score_gpt":0.2381975032906618,"score_spread":0.22750777958535218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385484078","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4367746,0.0011715608,0.5303598,0.0005669262,0.0003944647,0.00028521012,0.00049332174,0.013907431,0.016046684],"genre_scores_gemma":[0.96733934,0.00020245045,0.025650045,0.00010407857,0.000050462048,0.000094366274,0.0002567858,0.000052281765,0.006250101],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998535,0.00002586226,0.000011641924,0.00003293885,0.000057047557,0.000018928236],"domain_scores_gemma":[0.99985814,0.000025571437,0.000019616027,0.000016967064,0.00006753078,0.000012062538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020434902,0.00032909118,0.00029839738,0.00041277037,0.000267787,0.0003427222,0.0004988154,0.00030300257,0.0022836134],"category_scores_gemma":[0.00034301422,0.00014818086,0.00013583375,0.00017248701,0.00007347837,0.0005235261,0.00032974477,0.00027256488,0.0004258257],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017413669,0.00035465645,0.019209782,0.0004807562,0.0001804494,0.0007999726,0.00055052666,0.028211823,0.3694193,0.0025169868,0.014631787,0.56190264],"study_design_scores_gemma":[0.0004633468,0.0015067364,0.039207317,0.00009920325,0.00046508777,0.00108465,0.00042668742,0.7870507,0.13604064,0.0025402622,0.030948631,0.00016668902],"about_ca_topic_score_codex":0.0007095852,"about_ca_topic_score_gemma":0.0010155685,"teacher_disagreement_score":0.0022836134,"about_ca_system_score_codex":0.00014985826,"about_ca_system_score_gemma":0.00024042706,"threshold_uncertainty_score":0.007639408},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.049659764866486746,"score_gpt":0.34046141949129144,"score_spread":0.2908016546248047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385987251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42717928,0.0021428405,0.56212395,0.00024311915,0.00013270855,0.00011362222,0.0005584655,0.00074988167,0.006756222],"genre_scores_gemma":[0.9650774,0.00024774115,0.03310333,0.000013305706,0.000022939168,0.000035815938,0.00028757367,0.000040180556,0.0011717305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99714607,0.00051227125,0.00025028063,0.00034664717,0.0016225271,0.00012205804],"domain_scores_gemma":[0.99080604,0.0033392883,0.0008120997,0.0006383819,0.0042323675,0.00017174108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00456513,0.00085775845,0.0008811266,0.0044290023,0.0005347387,0.0012276418,0.00078994577,0.0010671335,0.0012311683],"category_scores_gemma":[0.012797185,0.00024434298,0.0005754459,0.0021105714,0.00065169664,0.002297868,0.0008325359,0.00039020696,0.00022958813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011749802,0.0002306542,0.092397705,0.0008653675,0.00047160574,0.00045273677,0.0005277069,0.49822623,0.032002795,0.0064962413,0.0020637796,0.36509025],"study_design_scores_gemma":[0.000016851629,0.00021243856,0.02757432,0.000050890285,0.00013981295,0.0002545441,0.00020046561,0.9536836,0.014244834,0.0024832974,0.0010673463,0.00007153161],"about_ca_topic_score_codex":0.003906469,"about_ca_topic_score_gemma":0.0036429411,"teacher_disagreement_score":0.00456513,"about_ca_system_score_codex":0.00075779104,"about_ca_system_score_gemma":0.0005805765,"threshold_uncertainty_score":0.02414304},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.014909587304205366,"score_gpt":0.2867831366188786,"score_spread":0.2718735493146732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386007990","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40141264,0.001022616,0.5761033,0.0010035606,0.0006681219,0.00065979705,0.00031902807,0.0053113424,0.01349961],"genre_scores_gemma":[0.9333736,0.00030401905,0.056665502,0.00026420885,0.00015657634,0.00013550695,0.00020062452,0.00009036046,0.008809679],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995473,0.0001139061,0.00004347476,0.000084468156,0.00014452542,0.00006626334],"domain_scores_gemma":[0.99921966,0.00017632065,0.000074130374,0.00013772654,0.0003421395,0.000050050792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006485707,0.00031183712,0.00032131094,0.00055770064,0.0007932157,0.00059233664,0.0005721636,0.00055074913,0.0051390603],"category_scores_gemma":[0.0009739844,0.0001699636,0.00021757637,0.00030935038,0.00022715813,0.00090598204,0.00046471975,0.00048725668,0.0014917835],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031403722,0.00061963097,0.005681601,0.00048200772,0.00012012153,0.0009641414,0.0009163528,0.004780757,0.6137602,0.013501557,0.013764891,0.34226844],"study_design_scores_gemma":[0.0004699267,0.0015895071,0.0049379687,0.00012582012,0.00041944245,0.0023181203,0.0002390736,0.21316276,0.73323506,0.0025021473,0.04086389,0.00013626122],"about_ca_topic_score_codex":0.00061436655,"about_ca_topic_score_gemma":0.00060694915,"teacher_disagreement_score":0.0051390603,"about_ca_system_score_codex":0.0004818947,"about_ca_system_score_gemma":0.0006665816,"threshold_uncertainty_score":0.017191827},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.018411982838953223,"score_gpt":0.26148287770054657,"score_spread":0.24307089486159333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386716640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98028266,0.0006125051,0.013413123,0.00020816147,0.000029752322,0.000037773832,0.0023513031,0.0001751211,0.0028895328],"genre_scores_gemma":[0.98134,0.0003635242,0.014346199,0.000025809442,0.000025164009,0.000035692312,0.0019379056,0.000015581103,0.0019102352],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972206,0.00008186312,0.00001874467,0.00008002658,0.000056105255,0.00004113232],"domain_scores_gemma":[0.99825054,0.0012777726,0.00022765998,0.000058493242,0.00011717078,0.00006832894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048572218,0.0004611896,0.0002886411,0.0015898598,0.00029051764,0.00063891127,0.00046294433,0.00056020566,0.0017721368],"category_scores_gemma":[0.0020778736,0.00023072242,0.00056880247,0.0008357896,0.00016152438,0.0007460461,0.000359449,0.00060556555,0.00057737343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002941464,0.00034031057,0.8422889,0.000073721625,0.00017118214,0.0002611259,0.00042741472,0.007487293,0.004583829,0.0005133276,0.0021447751,0.141414],"study_design_scores_gemma":[0.000010318104,0.0003080245,0.79664385,0.00005303442,0.000118586184,0.0004208233,0.0007709217,0.19411705,0.0051013185,0.0013321724,0.001087006,0.000036889003],"about_ca_topic_score_codex":0.022791244,"about_ca_topic_score_gemma":0.042995177,"teacher_disagreement_score":0.022791244,"about_ca_system_score_codex":0.00051782274,"about_ca_system_score_gemma":0.0003172401,"threshold_uncertainty_score":0.045317173},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curriculum; Dance; Grassroots; Dance education; Digital learning; Multimedia; Sociology; Computer science; Political science; Pedagogy; Visual arts; Art","score_opus":0.022693813463726738,"score_gpt":0.3658693520460714,"score_spread":0.3431755385823447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386800661","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7197604,0.001296171,0.01683846,0.0049178787,0.0000772887,0.0001449965,0.00019971063,0.000108942266,0.25665608],"genre_scores_gemma":[0.98656076,0.00054476474,0.0041141207,0.00009182663,0.000010316673,0.000047095782,0.0000493778,0.000013123554,0.008568457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993092,0.00021844156,0.0000282031,0.00012577428,0.00017503362,0.00014333168],"domain_scores_gemma":[0.99806315,0.0009569975,0.00020787992,0.000096675074,0.0003567686,0.00031853968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010960418,0.00018543091,0.00015888675,0.002903746,0.0017714218,0.0056978324,0.0005038859,0.000856675,0.013718326],"category_scores_gemma":[0.0037999158,0.00018506157,0.00044904015,0.0024129534,0.0020562147,0.0060358336,0.0023566263,0.00086851296,0.00071203435],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013335679,0.00023969062,0.05255147,0.00034565944,0.000024586509,0.001316716,0.031847242,0.0025919317,0.0031479453,0.7753201,0.0025679686,0.1299133],"study_design_scores_gemma":[0.00012483378,0.00052905356,0.13734429,0.0012446389,0.00012516636,0.0013120606,0.13434505,0.041647855,0.006806554,0.47107807,0.2053235,0.00011893582],"about_ca_topic_score_codex":0.0033441465,"about_ca_topic_score_gemma":0.004077954,"teacher_disagreement_score":0.013718326,"about_ca_system_score_codex":0.0032053385,"about_ca_system_score_gemma":0.0043859603,"threshold_uncertainty_score":0.045892417},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.013530494786319996,"score_gpt":0.2550275953422137,"score_spread":0.2414971005558937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391021184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7527165,0.0004708086,0.24331772,0.00013017647,0.000044571625,0.00007653789,0.000058744838,0.00037739077,0.0028075862],"genre_scores_gemma":[0.96357715,0.00017848273,0.03530243,0.000024259034,0.0000044292797,0.000045665285,0.000045409666,0.000019709856,0.0008025089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998336,0.000028211225,0.000007956946,0.000043699238,0.000049278024,0.000037261627],"domain_scores_gemma":[0.9995803,0.00021172575,0.00005291645,0.000025034658,0.000104931976,0.000025091782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039497568,0.00051119167,0.0005602759,0.00062795903,0.00026205237,0.0005613709,0.0006183146,0.00057517365,0.000519922],"category_scores_gemma":[0.0010035378,0.00023129002,0.0005140929,0.00042270086,0.0002830248,0.00035304023,0.00026070816,0.0003273458,0.000054974866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007056063,0.0000649398,0.009249417,0.00006647207,0.00006847637,0.00011477152,0.000110114284,0.9362273,0.011753334,0.0008920844,0.00017455315,0.041208006],"study_design_scores_gemma":[0.000005788219,0.00004248896,0.0015132008,0.0000040297755,0.00001848762,0.00001875088,0.000027458376,0.9962941,0.0017870949,0.00016078408,0.00012221676,0.0000055671658],"about_ca_topic_score_codex":0.009093326,"about_ca_topic_score_gemma":0.0076096565,"teacher_disagreement_score":0.009093326,"about_ca_system_score_codex":0.0004892966,"about_ca_system_score_gemma":0.0006562643,"threshold_uncertainty_score":0.018080771},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm","score_opus":0.011374129429297036,"score_gpt":0.32219901756841873,"score_spread":0.3108248881391217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399860973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009444282,0.00013597861,0.98834896,0.00006543404,0.000023123426,0.000033638993,0.000038822516,0.00012674948,0.0017828553],"genre_scores_gemma":[0.831648,0.0006031531,0.1602454,0.000073594936,0.00006127031,0.00054157426,0.00043263097,0.00006458665,0.006329846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992568,0.00013873569,0.00005199473,0.00022624266,0.0002307557,0.00009552412],"domain_scores_gemma":[0.99950695,0.00019751901,0.000048861697,0.000021265429,0.00020136268,0.000023999237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088374113,0.000737216,0.0010818868,0.0009743984,0.00064858526,0.0014765469,0.0010084809,0.0007607627,0.0034697654],"category_scores_gemma":[0.0016667553,0.00042957254,0.0012235314,0.0007430295,0.00052149757,0.00095641916,0.00077880296,0.0008413859,0.00044466808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048907834,0.000028960358,0.00169792,0.00009268508,0.00004820716,0.000069639245,0.00007151022,0.94042194,0.0016726925,0.0095310975,0.0006219446,0.045694523],"study_design_scores_gemma":[0.0000029215444,0.000010916021,0.00016064045,0.0000029891387,0.000005300091,0.000007539402,0.0000048912666,0.9985368,0.00015905264,0.00092089217,0.00018471308,0.0000033686215],"about_ca_topic_score_codex":0.015735218,"about_ca_topic_score_gemma":0.0064975494,"teacher_disagreement_score":0.015735218,"about_ca_system_score_codex":0.0010951145,"about_ca_system_score_gemma":0.001457957,"threshold_uncertainty_score":0.031287253},"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,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_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","score_opus":0.08264802186729615,"score_gpt":0.32916536194237656,"score_spread":0.24651734007508042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400418492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021485971,0.00040787968,0.9762581,0.00015582966,0.00004541857,0.000042208903,0.00008763747,0.00046120238,0.0010557899],"genre_scores_gemma":[0.5160284,0.0007159388,0.47691393,0.000210117,0.00009417756,0.0001619097,0.0011062663,0.00021915343,0.0045499774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833447,0.0003066634,0.00008028806,0.0004439244,0.0006988229,0.00013575843],"domain_scores_gemma":[0.99893004,0.00022596537,0.000109597204,0.00020400198,0.00045277088,0.00007762524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011242459,0.00096935604,0.0018138327,0.0017706613,0.0008933967,0.001375325,0.0016931066,0.001200791,0.0011450502],"category_scores_gemma":[0.0029228106,0.0004598303,0.0016295173,0.0021844723,0.0007818718,0.0022783785,0.0013644639,0.0013295595,0.00060055073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027093588,0.00014982125,0.0026859757,0.0002196884,0.00029250642,0.00016200806,0.00046864245,0.532217,0.022918701,0.023558173,0.0060284273,0.41102812],"study_design_scores_gemma":[0.000005936233,0.000020226036,0.00023844905,0.0000064319934,0.000010467891,0.00003718729,0.000029746341,0.9939393,0.001724624,0.0033205843,0.00064940675,0.000017681634],"about_ca_topic_score_codex":0.011147126,"about_ca_topic_score_gemma":0.009472725,"teacher_disagreement_score":0.011147126,"about_ca_system_score_codex":0.0010384916,"about_ca_system_score_gemma":0.0013693867,"threshold_uncertainty_score":0.022164464},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_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","score_opus":0.005569767966435708,"score_gpt":0.26275966201171375,"score_spread":0.25718989404527803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402614182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02985833,0.0018312122,0.93634444,0.00069029187,0.00027533944,0.00010207341,0.00003355236,0.0007783586,0.030086324],"genre_scores_gemma":[0.83732915,0.0025449046,0.13750525,0.00021993963,0.00018286625,0.00013910046,0.000102470825,0.00004951434,0.021926826],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99977106,0.000028263048,0.000008903911,0.00004760331,0.00012418817,0.000019936864],"domain_scores_gemma":[0.9998672,0.0000409887,0.0000071334744,0.00001513282,0.000058545298,0.000010973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027139386,0.0003197927,0.00024400563,0.00022250078,0.00030690627,0.0004467138,0.00042015786,0.00048756448,0.0026124874],"category_scores_gemma":[0.0005400242,0.00013475459,0.00024143988,0.00029561023,0.00022637285,0.00034637988,0.00046830397,0.0006449543,0.00047368673],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119323515,0.00023446736,0.0021925594,0.0002671126,0.000030328689,0.00029997356,0.00024484925,0.21962538,0.04005901,0.025039015,0.007207427,0.7046806],"study_design_scores_gemma":[0.000016293769,0.0002094546,0.0010890083,0.00002901359,0.000014691794,0.00010186948,0.000033838383,0.9590548,0.017198963,0.004967801,0.01726557,0.000018618435],"about_ca_topic_score_codex":0.0026460208,"about_ca_topic_score_gemma":0.0021879892,"teacher_disagreement_score":0.0026460208,"about_ca_system_score_codex":0.0003153431,"about_ca_system_score_gemma":0.00059050415,"threshold_uncertainty_score":0.00873971},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Computer science; Multimedia; Data science; World Wide Web","score_opus":0.013028656567075688,"score_gpt":0.2982140943567327,"score_spread":0.285185437789657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402643247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42552564,0.008312797,0.5410268,0.0014823785,0.000798459,0.0003681912,0.004700176,0.0039745294,0.013811016],"genre_scores_gemma":[0.8724564,0.0011037913,0.10781661,0.0002368388,0.00037092032,0.00013299397,0.0033213,0.00012654492,0.014434646],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993783,0.00011225578,0.00003513022,0.0001900901,0.00018879851,0.00009528169],"domain_scores_gemma":[0.99919754,0.0002876378,0.00006146408,0.00012172372,0.0002352571,0.00009643825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064310833,0.0009285131,0.0014226658,0.0017469741,0.0005277203,0.0007502703,0.0013981395,0.0010845925,0.0038251323],"category_scores_gemma":[0.0015656404,0.0003177959,0.0009002927,0.0019542861,0.00019339287,0.0011375427,0.0005493669,0.0007147677,0.0014716604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019410618,0.0013619863,0.011781564,0.0004399706,0.00046893864,0.0004025778,0.00017147372,0.19529147,0.01849578,0.0018882095,0.03991173,0.7278452],"study_design_scores_gemma":[0.000045420304,0.00017620972,0.0034511397,0.00001604886,0.000095925985,0.00007477303,0.00007757248,0.99074906,0.002056073,0.0011903774,0.0020429685,0.000024520205],"about_ca_topic_score_codex":0.015290975,"about_ca_topic_score_gemma":0.040699665,"teacher_disagreement_score":0.015290975,"about_ca_system_score_codex":0.00059928757,"about_ca_system_score_gemma":0.0007796279,"threshold_uncertainty_score":0.030403972},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University; Simon Fraser University","funders":"","keywords":"Training (meteorology); Computer science; Aeronautics; Environmental science; Engineering; Meteorology; Geography","score_opus":0.039419359776185096,"score_gpt":0.32705727495515824,"score_spread":0.28763791517897314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402662653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966462,0.00035123358,0.026062265,0.00007098792,0.000021899094,0.00031261862,0.0027274038,0.0006560199,0.0033355749],"genre_scores_gemma":[0.9683899,0.0003280688,0.026113763,0.00013312757,0.000045805566,0.0006021321,0.0020818529,0.00008358764,0.0022217783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994555,0.00011399038,0.00004194364,0.00014009107,0.00020731703,0.000041111358],"domain_scores_gemma":[0.9992323,0.00016519452,0.00032342438,0.000047861264,0.00017508844,0.00005612148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005048665,0.00092282315,0.0005100009,0.0012703587,0.00019328632,0.000369478,0.00051926676,0.00039503083,0.0016083568],"category_scores_gemma":[0.0019429298,0.0002812991,0.00022923706,0.0006991339,0.00021044699,0.00040504022,0.00061883783,0.00027878134,0.00053626153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001633615,0.00062486896,0.669129,0.0012818759,0.0005212009,0.00021183744,0.00073170016,0.011203417,0.11891295,0.00020368323,0.0025068847,0.19303899],"study_design_scores_gemma":[0.000041094998,0.0012583821,0.9684641,0.00007269733,0.00009853458,0.00020697578,0.0001318766,0.017494246,0.010683239,0.0001286952,0.0013776027,0.00004275637],"about_ca_topic_score_codex":0.002550898,"about_ca_topic_score_gemma":0.0077069397,"teacher_disagreement_score":0.002550898,"about_ca_system_score_codex":0.00016017028,"about_ca_system_score_gemma":0.00022099435,"threshold_uncertainty_score":0.0053804517},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Association (psychology); Physical education; Psychology; Mathematics education; Computer science; Applied psychology; Psychotherapist","score_opus":0.03366751833604294,"score_gpt":0.384891513164307,"score_spread":0.35122399482826405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409605096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4946283,0.0007472441,0.50049955,0.00091128773,0.00013398059,0.00012311869,0.00030506245,0.00034760387,0.002303936],"genre_scores_gemma":[0.94325,0.00047608244,0.054037914,0.00008656201,0.000055960685,0.00021392798,0.0003185974,0.00003063186,0.0015303047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992017,0.0003605349,0.000054268785,0.00019280917,0.000098619385,0.0000920461],"domain_scores_gemma":[0.9951721,0.0039902064,0.00028712614,0.00013700445,0.00031798793,0.00009563668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024344688,0.0006558901,0.0007108485,0.001002876,0.00044781182,0.0012170132,0.0009934149,0.0007966274,0.0012001467],"category_scores_gemma":[0.010312154,0.0003855305,0.0010207925,0.0010769499,0.00045910105,0.0011717008,0.00058217515,0.0010462278,0.0001285817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009805256,0.00023844786,0.050975844,0.000100200865,0.00021515055,0.00011995471,0.00018817683,0.90759087,0.00049305405,0.006362623,0.00054319546,0.033074412],"study_design_scores_gemma":[0.0000019566855,0.000012167803,0.0012411259,0.0000037510704,0.00000936733,0.0000058375745,0.000014430399,0.99817824,0.000035209207,0.00043179686,0.00006365582,0.0000024302994],"about_ca_topic_score_codex":0.026768891,"about_ca_topic_score_gemma":0.01404067,"teacher_disagreement_score":0.026768891,"about_ca_system_score_codex":0.0008493889,"about_ca_system_score_gemma":0.00178281,"threshold_uncertainty_score":0.053226173},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Hyporeflexia; Diafiltration; Dysgeusia; Liquation; Fusible alloy","score_opus":0.007741047816507615,"score_gpt":0.18486075288002576,"score_spread":0.17711970506351815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922058373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794629,0.00026851703,0.0009394385,0.0004302425,0.000028934921,0.00009367782,0.00008959838,0.000044779394,0.018641982],"genre_scores_gemma":[0.9837478,0.00023399625,0.0024708519,0.00014850547,0.0000062020367,0.000050391944,0.000089128735,0.00001773809,0.013235398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912494,0.00023999937,0.00002224294,0.000100190424,0.00026667857,0.00024595688],"domain_scores_gemma":[0.9988626,0.00018393295,0.00018445046,0.00006461933,0.0002317093,0.00047269146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000739728,0.00025005537,0.00024583243,0.0006094653,0.0032064298,0.002237493,0.0009344549,0.00039051526,0.01192326],"category_scores_gemma":[0.0017832544,0.00021407913,0.00017287888,0.0005195135,0.0012026981,0.00047535085,0.0016566813,0.00051952293,0.0011581547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004926655,0.0010115788,0.7389223,0.00031504937,0.00007198706,0.0010578178,0.020574799,0.0034763843,0.005591477,0.0020286127,0.009244815,0.2172125],"study_design_scores_gemma":[0.000024137285,0.0012667692,0.87828314,0.00017413536,0.00003014664,0.0002184953,0.087016754,0.0010555998,0.0015579017,0.0004971742,0.029836755,0.000039089406],"about_ca_topic_score_codex":0.1340122,"about_ca_topic_score_gemma":0.48727292,"teacher_disagreement_score":0.8659878,"about_ca_system_score_codex":0.0054808,"about_ca_system_score_gemma":0.004017757,"threshold_uncertainty_score":0.26646435},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subject (documents); Set (abstract data type); Work (physics); Biography","score_opus":0.032826136073732276,"score_gpt":0.2837930208196282,"score_spread":0.2509668847458959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6936638974","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008325146,0.09621187,0.0019652871,0.036732484,0.019092988,0.000050345305,0.0006631484,0.0001504714,0.83680826],"genre_scores_gemma":[0.138853,0.022686768,0.0010314991,0.005619195,0.0025877203,0.00007718557,0.00042341647,0.0001801826,0.828541],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992945,0.00019969282,0.000020427746,0.00015797876,0.00022540071,0.00010198183],"domain_scores_gemma":[0.99926275,0.00029534186,0.000057241476,0.00007266075,0.00020828545,0.00010365043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005975329,0.00054234674,0.00026158107,0.0014423103,0.0032914912,0.004781871,0.0005842836,0.0010981582,0.028987011],"category_scores_gemma":[0.0023796652,0.0003163983,0.00016783428,0.0013347658,0.0028143027,0.0024836631,0.0017093559,0.0025337732,0.0053564627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058565478,0.000013395567,0.0011911646,0.00027658953,0.00000622555,0.00030189578,0.011855963,0.00017129607,0.0002746018,0.27708155,0.6289203,0.07984838],"study_design_scores_gemma":[8.932279e-7,0.0000021986077,0.0003270135,0.00010560419,5.1725993e-7,0.000040580348,0.00051420374,0.000012176356,0.00003419718,0.0008938586,0.99806577,0.0000029936728],"about_ca_topic_score_codex":0.055891424,"about_ca_topic_score_gemma":0.10408686,"teacher_disagreement_score":0.055891424,"about_ca_system_score_codex":0.006572594,"about_ca_system_score_gemma":0.0026283544,"threshold_uncertainty_score":0.111132205},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_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)","score_opus":0.04867636428985538,"score_gpt":0.4087299974824508,"score_spread":0.3600536331925954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7155371327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30651635,0.0015525961,0.67258656,0.00074158853,0.000119776116,0.00023844998,0.000155884,0.0013410556,0.01674775],"genre_scores_gemma":[0.91218406,0.00082697964,0.083624676,0.000049830487,0.000050243634,0.000068080975,0.00015156313,0.0000993005,0.0029451991],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988857,0.0002926883,0.000056024383,0.00028861675,0.00030782865,0.0001692897],"domain_scores_gemma":[0.9989813,0.00038501632,0.00011544658,0.00022339706,0.00018289458,0.00011198626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009231107,0.0004789524,0.00043578155,0.0005698229,0.0006532158,0.0015064741,0.0008744015,0.00032777674,0.0023036627],"category_scores_gemma":[0.002315633,0.0002816176,0.00041441564,0.00087744655,0.00044938186,0.003196534,0.00066002214,0.0006413171,0.0003623696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042825865,0.00055625493,0.015329079,0.0004927723,0.00010038275,0.00020676476,0.0007755051,0.28345084,0.062351067,0.060552713,0.0041742525,0.5715821],"study_design_scores_gemma":[0.000025815738,0.0002262213,0.008003173,0.00002516184,0.000048811795,0.000117949894,0.00041848928,0.9477001,0.018731477,0.01233068,0.012322163,0.000050014532],"about_ca_topic_score_codex":0.004963234,"about_ca_topic_score_gemma":0.0033680305,"teacher_disagreement_score":0.004963234,"about_ca_system_score_codex":0.0010805674,"about_ca_system_score_gemma":0.0015495907,"threshold_uncertainty_score":0.009868681},"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,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Department of Environment and Conservation","funders":"","keywords":"Deep learning; Feature (linguistics); Segmentation; Pattern recognition (psychology); Field (mathematics); Image segmentation","score_opus":0.009167360315565434,"score_gpt":0.2820525721167865,"score_spread":0.2728852118012211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161179859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10006211,0.00030377097,0.8953272,0.00015731531,0.000037465285,0.00004890222,0.000131868,0.0014846878,0.0024466238],"genre_scores_gemma":[0.7840287,0.0002638464,0.21196453,0.000116847434,0.000020381149,0.000052610387,0.00036054547,0.00006332494,0.0031291635],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999008,0.000007436156,0.000005177583,0.000035373283,0.0000271954,0.000024053106],"domain_scores_gemma":[0.9999193,0.0000157959,0.000013005825,0.000011838596,0.00003255799,0.000007578457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020716227,0.00049788645,0.0003631048,0.00070867216,0.0002740473,0.00054598704,0.0008049372,0.00038237538,0.00085657503],"category_scores_gemma":[0.0003195952,0.00022187138,0.0005343645,0.00057515304,0.00025765414,0.00087769656,0.0005473984,0.0005007562,0.00023012944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013270885,0.00012658433,0.0057974104,0.00009509008,0.000075460994,0.00021056978,0.00016519334,0.30353376,0.046684038,0.004482176,0.0028035971,0.6358934],"study_design_scores_gemma":[0.0000030173335,0.00002331413,0.0010284074,0.0000044991243,0.000013458498,0.00003900281,0.000019452342,0.9915508,0.005475549,0.0011448974,0.0006918397,0.000005830846],"about_ca_topic_score_codex":0.008102977,"about_ca_topic_score_gemma":0.012614319,"teacher_disagreement_score":0.008102977,"about_ca_system_score_codex":0.00056379405,"about_ca_system_score_gemma":0.00056968577,"threshold_uncertainty_score":0.016111612},"labels":[],"label_agreement":null}]}