{"meta":{"query_hash":"019cf5ed5833","filters":{"venue":"Computer Technology and Development"},"cohort_total":13,"direct_labels_cover":0,"predictions_cover":13,"exported":13,"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/019cf5ed5833","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computer+Technology+and+Development"},"results":[{"id":"W2347648769","doi":"","title":"A New Robust Approach for Remote Sensing Image Regional Classification","year":2007,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Artificial intelligence; Contextual image classification; Pattern recognition (psychology); Kernel (algebra); Resampling; Feature (linguistics); Kernel density estimation; Image (mathematics); Remote sensing; Mathematics; Geography","score_opus":0.03863732612142536,"score_gpt":0.22552086711132993,"score_spread":0.18688354098990456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347648769","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043463416,0.0001519279,0.95458966,0.000487712,0.00012355494,0.0001285791,5.4982263e-7,0.00013077473,0.0009238219],"genre_scores_gemma":[0.07534275,0.000012691916,0.9241456,0.00019357984,0.00009169937,1.7991686e-8,0.00006252422,0.0000027682674,0.00014839025],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924934,0.000007928329,0.00016975003,0.00026739188,0.000074233714,0.00023137197],"domain_scores_gemma":[0.99967754,0.00004931375,0.00005078854,0.00011523437,0.0000339619,0.00007318375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025655454,0.00010142128,0.00011408619,0.00022072205,0.00020509225,0.000031411422,0.00007814786,0.00014381207,0.0000053755516],"category_scores_gemma":[0.0000074299433,0.00008345512,0.000015973781,0.00017831894,0.00006271023,0.000042955315,0.000012868962,0.00010393267,0.000010541968],"study_design_candidate":"design_other","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":[0.000025143498,0.0000029494822,0.0015356421,0.00000906675,0.000011017299,0.0000045706374,0.00011313613,0.00006281196,0.000024559458,0.0000828347,0.0013424648,0.9967858],"study_design_scores_gemma":[0.0010386937,0.00012392121,0.23972605,0.000051426407,0.000013065811,0.00046539324,0.00025167738,0.63066757,0.00091322314,0.0030907714,0.12318374,0.00047447803],"about_ca_topic_score_codex":0.000036711153,"about_ca_topic_score_gemma":0.00007166787,"teacher_disagreement_score":0.9963113,"about_ca_system_score_codex":0.0000056138388,"about_ca_system_score_gemma":0.00006217362,"threshold_uncertainty_score":0.34032008},"labels":[],"label_agreement":null},{"id":"W2352008252","doi":"","title":"Study on Evaluation Method of Programme Scheme of Residential Quarter Based on SVM","year":2009,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Evaluation Methods in Various Fields","field":"Environmental 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":"Quarter (Canadian coin); Computer science; Scheme (mathematics); Support vector machine; Residential real estate; Index (typography); Real estate; Classification scheme; Artificial intelligence; Data mining; Machine learning; World Wide Web; Mathematics","score_opus":0.052564318359899644,"score_gpt":0.36525563611238515,"score_spread":0.3126913177524855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352008252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5603796,0.000008211181,0.43756396,0.000609035,0.00007632812,0.0006261235,2.1654232e-7,0.000046337416,0.00069016294],"genre_scores_gemma":[0.5063204,2.4844445e-7,0.49353325,0.000112727605,0.0000036612435,0.000020330164,0.000001012976,0.000002165471,0.0000061542905],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985565,0.0002212124,0.0003290249,0.000306871,0.00044852463,0.00013787385],"domain_scores_gemma":[0.99941707,0.0000945874,0.00014091922,0.00028715338,0.0000351051,0.000025195757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019952056,0.00010842211,0.00017868383,0.00023032259,0.00006108821,0.000005670234,0.00017557382,0.00013681507,0.0001103695],"category_scores_gemma":[0.000070163944,0.00009612673,0.000017819677,0.00030295257,0.00008086408,0.000029582296,0.00007605317,0.00013725615,0.000014683267],"study_design_candidate":"design_other","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":[0.00008069718,0.0009586596,0.047133066,0.000006801053,0.000024509527,0.0000029419305,0.0012682994,0.0015235875,0.0013976414,0.0009847573,0.00032439095,0.94629467],"study_design_scores_gemma":[0.0031909135,0.005601001,0.8688501,0.0000769514,0.000041431125,0.000006315023,0.000341925,0.045351226,0.0645472,0.011050788,0.0006045861,0.0003375308],"about_ca_topic_score_codex":0.0000020472041,"about_ca_topic_score_gemma":0.0000041867243,"teacher_disagreement_score":0.9459571,"about_ca_system_score_codex":0.00006322222,"about_ca_system_score_gemma":0.000039739207,"threshold_uncertainty_score":0.3919934},"labels":[],"label_agreement":null},{"id":"W2352520544","doi":"","title":"Implementation of Electrical Device Detection Platform Based on Virtual Instrument","year":2008,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Advanced Computational Techniques and Applications","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; USB; Computer hardware; Embedded system; Spectrum analyzer; Interface (matter); Field-programmable gate array; Software; Controller (irrigation); Data acquisition; Operating system","score_opus":0.021779677022391527,"score_gpt":0.272842516977982,"score_spread":0.2510628399555905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352520544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17412251,0.000010644647,0.82510674,0.00031667438,0.000034751163,0.0001547873,3.83203e-7,0.00022028109,0.000033198354],"genre_scores_gemma":[0.6371553,0.0000053889694,0.36257702,0.00019872375,0.0000059473136,0.000049457045,0.0000026198838,0.0000028592995,0.0000026932632],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99915826,0.000008218105,0.00025296226,0.0002787045,0.00015389733,0.00014797921],"domain_scores_gemma":[0.9995663,0.00004158799,0.000099982346,0.00018794488,0.00006915638,0.00003501756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006306615,0.000109206034,0.000118730415,0.00040095302,0.00021009962,0.000008933933,0.0002544034,0.00007879262,0.0000019940785],"category_scores_gemma":[0.0000022177767,0.000105654326,0.000016563428,0.0005487792,0.000058706384,0.000105716164,0.0001408073,0.000110199515,0.0000053279114],"study_design_candidate":"design_other","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":[0.0000054363695,0.000068330504,0.0011314328,0.0000035809942,0.000009116043,0.0000030715328,0.00009293675,0.00044744648,0.000299366,0.07850703,0.000033261524,0.91939896],"study_design_scores_gemma":[0.0019709168,0.0018810717,0.08113373,0.000050199957,0.000006476109,0.00020962064,0.00004536576,0.3478964,0.5216269,0.022823082,0.021654254,0.00070198515],"about_ca_topic_score_codex":0.0000014974205,"about_ca_topic_score_gemma":0.0000018206009,"teacher_disagreement_score":0.918697,"about_ca_system_score_codex":0.00006609636,"about_ca_system_score_gemma":0.00010916816,"threshold_uncertainty_score":0.43084583},"labels":[],"label_agreement":null},{"id":"W2355009783","doi":"","title":"Information Theory Based Heuristic Ontology Matching Framework","year":2007,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Ontology; Heuristic; Matching (statistics); Information retrieval; Ontology alignment; Artificial intelligence; Data mining; Ontology-based data integration; Semantic Web","score_opus":0.008423726671911215,"score_gpt":0.23007272666134668,"score_spread":0.22164899998943546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355009783","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047614586,0.00020047241,0.94961536,0.0010653505,0.00049874425,0.000094917785,1.17994e-7,0.0006090367,0.0003014031],"genre_scores_gemma":[0.45060283,0.0000031100838,0.54820293,0.0011637628,0.0000121454095,0.000005237159,0.0000013067437,0.0000020176637,0.0000066326356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904263,0.000024902733,0.00030242742,0.00019736211,0.00010751472,0.00032517454],"domain_scores_gemma":[0.99919176,0.00030101195,0.0000883449,0.00031843263,0.00005274325,0.00004768777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005841297,0.00014015523,0.0001730282,0.0005478152,0.0002063517,0.000065028646,0.00054378866,0.00025578125,0.0000046301857],"category_scores_gemma":[0.000053641852,0.00012299708,0.000015742891,0.00033160226,0.0001209857,0.00025068285,0.00037611477,0.00022940987,0.00005468562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006711392,0.000015648833,0.002196796,0.00001352759,0.000011385107,0.000017486136,0.00094260817,0.0000125254755,0.0000039576507,0.5085873,0.000049076494,0.48814294],"study_design_scores_gemma":[0.0010581271,0.00022843447,0.15525573,0.00018399357,0.000010325913,0.00033992034,0.00061471143,0.009026751,0.005044885,0.761988,0.06537806,0.000871092],"about_ca_topic_score_codex":0.0000015726155,"about_ca_topic_score_gemma":0.000004404635,"teacher_disagreement_score":0.48727185,"about_ca_system_score_codex":0.000033305998,"about_ca_system_score_gemma":0.000082147715,"threshold_uncertainty_score":0.50156754},"labels":[],"label_agreement":null},{"id":"W2358256276","doi":"","title":"Recognition of Human Face in Different Pose","year":2006,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Face and Expression Recognition","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Principal component analysis; Face (sociological concept); Facial recognition system; Pattern recognition (psychology); Three-dimensional face recognition; Facial expression; Transformation (genetics); Representation (politics); Pose; Image (mathematics); Face hallucination; Face detection","score_opus":0.015122910325838818,"score_gpt":0.22308546322248216,"score_spread":0.20796255289664334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2358256276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7583167,0.00006824024,0.24088804,0.00031457358,0.00008350731,0.000082185274,3.8856848e-7,0.00009955958,0.00014681992],"genre_scores_gemma":[0.9304358,0.0000060265356,0.069439955,0.000049247337,0.00001183424,0.000017464428,0.000010817193,0.0000026781117,0.000026216048],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992977,0.000016408034,0.00023916227,0.00023087622,0.00007475205,0.00014112795],"domain_scores_gemma":[0.9997357,0.00001554392,0.00006199188,0.00013868193,0.000030941046,0.000017117498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006620277,0.00009537838,0.00014243727,0.00044278026,0.000061213024,0.000015878486,0.00020104705,0.00011206223,0.000004822551],"category_scores_gemma":[0.0000017501188,0.00008142505,0.000011507978,0.00023886509,0.000045759614,0.000098159515,0.00024000017,0.0000937168,0.000012588478],"study_design_candidate":"design_other","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":[0.0000073581964,0.00044133124,0.028480202,0.000058319954,0.000014039539,0.00002700732,0.00057902315,0.000016503074,0.012839422,0.010304632,0.0014227807,0.94580936],"study_design_scores_gemma":[0.0021586125,0.00029734548,0.33965892,0.0004647053,0.0000043082428,0.000052098236,0.00009231997,0.004244785,0.5294765,0.11950152,0.003400641,0.00064823206],"about_ca_topic_score_codex":0.000005346495,"about_ca_topic_score_gemma":0.000010603183,"teacher_disagreement_score":0.94516116,"about_ca_system_score_codex":0.00001767254,"about_ca_system_score_gemma":0.000014721399,"threshold_uncertainty_score":0.33204174},"labels":[],"label_agreement":null},{"id":"W2360534729","doi":"","title":"Design and Realization of Web Application Based on Struts+Hibernate","year":2009,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Web Applications and Data Management","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":"Nipissing University","funders":"","keywords":"Computer science; Web application; Realization (probability); Database; World Wide Web","score_opus":0.01025190249658419,"score_gpt":0.21749991369694846,"score_spread":0.20724801120036426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2360534729","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036476285,0.000037088226,0.99451584,0.0012151417,0.000019067855,0.00024933406,4.07405e-7,0.0001507438,0.00016478155],"genre_scores_gemma":[0.52087986,0.000014148868,0.4787945,0.00027358357,0.0000029367643,0.000022285545,0.000005741456,0.0000016485147,0.000005280682],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993413,0.000013217449,0.00016761689,0.0002995739,0.0000839341,0.000094375966],"domain_scores_gemma":[0.9994824,0.000020529666,0.00007639648,0.0003584803,0.000036464302,0.0000257621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015888333,0.00008490986,0.00009509148,0.00031956515,0.000085115746,0.00003073951,0.0002835592,0.00006271381,5.085072e-7],"category_scores_gemma":[0.0000020675018,0.000079194215,0.0000048669804,0.00033619476,0.00003811516,0.00008451822,0.0001363477,0.000045001983,0.000003844994],"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":[0.0000037376176,0.000055085162,0.00023230782,0.0000072713447,0.000004575605,8.2188757e-7,0.000029007026,0.00059221196,0.0002135064,0.3780724,0.00022030078,0.62056875],"study_design_scores_gemma":[0.0006490686,0.0002474688,0.01942737,0.000035457426,0.0000043749055,0.00000650837,0.000004306932,0.9187917,0.007817399,0.032789122,0.020004472,0.00022273068],"about_ca_topic_score_codex":4.6577028e-7,"about_ca_topic_score_gemma":2.2775764e-7,"teacher_disagreement_score":0.9181995,"about_ca_system_score_codex":0.000015514872,"about_ca_system_score_gemma":0.000035379304,"threshold_uncertainty_score":0.32294464},"labels":[],"label_agreement":null},{"id":"W2363876587","doi":"","title":"An Unsupervised Segmentation Framework for Texture Image Queries","year":2006,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Image Retrieval and Classification Techniques","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":"L'Alliance Boviteq","funders":"","keywords":"Image texture; Computer science; Artificial intelligence; Texture compression; Texture (cosmology); Texture filtering; Pattern recognition (psychology); Image segmentation; Computer vision; Image (mathematics); Scale-space segmentation; Segmentation; Filter (signal processing); Feature (linguistics); Segmentation-based object categorization","score_opus":0.010283084590024076,"score_gpt":0.2595915980427059,"score_spread":0.2493085134526818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2363876587","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005000332,0.00016107089,0.9918748,0.0016189985,0.00010655121,0.00028291726,0.0000013653831,0.0009189086,0.000035013712],"genre_scores_gemma":[0.14101045,0.000009541501,0.8585351,0.00024244808,0.000036681067,0.00010551494,0.000018414175,0.0000066571447,0.00003516412],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991034,0.000016279706,0.00021693345,0.00037285354,0.00009227928,0.00019823098],"domain_scores_gemma":[0.99944377,0.00003652922,0.00006869389,0.00030312542,0.00011472523,0.000033149085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010461338,0.00013865241,0.00013312924,0.00024374493,0.00024730896,0.00013654909,0.0004232538,0.0001938815,0.0000035047617],"category_scores_gemma":[0.0000064059695,0.00012491489,0.000017844408,0.00034261774,0.00010713142,0.00033573862,0.0001259166,0.00010956885,0.000007118245],"study_design_candidate":"theoretical_or_conceptual","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":[0.0000058275436,0.00008187056,0.0010544104,0.000024972613,0.000009208728,0.0000029843125,0.00019900856,7.9346347e-7,0.004722798,0.4669302,0.0004045231,0.5265634],"study_design_scores_gemma":[0.00065423985,0.00032060477,0.013353864,0.000060862934,0.0000069203984,0.00004572447,0.00014642905,0.02016778,0.50942594,0.41896766,0.0362048,0.0006452006],"about_ca_topic_score_codex":0.0000013630377,"about_ca_topic_score_gemma":0.0000012051723,"teacher_disagreement_score":0.5259182,"about_ca_system_score_codex":0.00003167902,"about_ca_system_score_gemma":0.000058675967,"threshold_uncertainty_score":0.50938815},"labels":[],"label_agreement":null},{"id":"W2368193714","doi":"","title":"Improvement to MVFAST Motion Estimation Algorithm and VLSI Architecture","year":2008,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Advanced Vision and Imaging","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Motion estimation; Algorithm; Architecture; Search algorithm; Bandwidth (computing); Image quality; Very-large-scale integration; Image processing; Artificial intelligence; Image (mathematics); Computer vision; Real-time computing; Embedded system","score_opus":0.007951911162013353,"score_gpt":0.22508560230726646,"score_spread":0.2171336911452531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2368193714","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020504985,0.00009722227,0.9763878,0.0024157409,0.00013833947,0.00015876448,2.5142782e-7,0.00027963065,0.000017268956],"genre_scores_gemma":[0.06912711,0.000015411122,0.93003356,0.000743606,0.0000123322225,0.000013228606,0.0000017057982,0.0000043146474,0.00004869838],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991572,0.000007716572,0.000163718,0.00037704027,0.00010192329,0.00019242136],"domain_scores_gemma":[0.9996377,0.0000122312385,0.000038346792,0.000195413,0.00003968582,0.00007660511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006868043,0.00012535042,0.00011944331,0.00037460594,0.00027054822,0.000033904336,0.00020514471,0.00006173999,0.0000010188149],"category_scores_gemma":[0.0000062000827,0.00011316244,0.000007741675,0.00029767776,0.000064857195,0.00015247257,0.00056707073,0.0001200643,0.000013478741],"study_design_candidate":"design_other","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":[8.449242e-7,0.00001685298,0.00019122557,0.000004484326,0.0000047609683,0.000010557013,0.00052095513,0.00010278533,0.00016077119,0.0009671632,0.000085660315,0.9979339],"study_design_scores_gemma":[0.0014388805,0.0004959149,0.0410991,0.00012583354,0.0000039677293,0.0011286204,0.000055380915,0.84191495,0.034413934,0.012528864,0.06592081,0.0008737413],"about_ca_topic_score_codex":5.3003606e-7,"about_ca_topic_score_gemma":2.6939782e-7,"teacher_disagreement_score":0.9970602,"about_ca_system_score_codex":0.000028006712,"about_ca_system_score_gemma":0.000028419747,"threshold_uncertainty_score":0.46146303},"labels":[],"label_agreement":null},{"id":"W2372347460","doi":"","title":"A Study on Taxonomic Relation Extraction from Ontology Learning","year":2007,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Advanced Computational Techniques and Applications","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":"Athabasca University","funders":"","keywords":"Ontology learning; Computer science; Ontology; Relation (database); Taxonomy (biology); Process ontology; Ontology-based data integration; Open Biomedical Ontologies; Upper ontology; Suggested Upper Merged Ontology; Information retrieval; Ontology components; Domain (mathematical analysis); Relationship extraction; Ontology alignment; Artificial intelligence; Natural language processing; Information extraction; Semantic Web; Data mining; Ecology; Mathematics; Epistemology","score_opus":0.027242289100579336,"score_gpt":0.3000879342284054,"score_spread":0.27284564512782605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372347460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26138636,0.0000227822,0.7372579,0.0003728759,0.00008144241,0.0001866371,9.494287e-8,0.0004811755,0.00021073924],"genre_scores_gemma":[0.5816896,0.0000018252562,0.41814554,0.00009304448,0.000016672027,0.00003068232,0.0000030183971,0.0000031918707,0.000016429996],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99906486,0.000018796318,0.00024614212,0.00041701845,0.000087444125,0.00016572775],"domain_scores_gemma":[0.999484,0.00012175843,0.00010741488,0.00020991756,0.000040491737,0.000036431604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018558647,0.00011573296,0.00011877035,0.0003589592,0.00026236248,0.000027950591,0.00025580166,0.00011442668,0.0000016080535],"category_scores_gemma":[0.000006955633,0.00011706908,0.000011232754,0.0002889728,0.000034799785,0.00012480121,0.00020808664,0.00025932342,0.000034405777],"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":[0.000012658523,0.00025753595,0.01701598,0.0000012949962,0.000032873922,0.000032411997,0.000683713,0.00065735466,0.0002504136,0.15787068,0.000072239454,0.82311285],"study_design_scores_gemma":[0.0010893674,0.0007706408,0.83355045,0.0000363436,0.000007352306,0.00009519514,0.00031223727,0.016257213,0.0066158054,0.070252925,0.07041778,0.00059466495],"about_ca_topic_score_codex":0.0000020539603,"about_ca_topic_score_gemma":0.000005900775,"teacher_disagreement_score":0.82251817,"about_ca_system_score_codex":0.000071538176,"about_ca_system_score_gemma":0.000029204974,"threshold_uncertainty_score":0.47739387},"labels":[],"label_agreement":null},{"id":"W2372948282","doi":"","title":"Design and Implementation of 802.1x Based AAA System in Wireless Campus Network","year":2008,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Computer network; Authentication server; Wi-Fi; Authentication (law); IEEE 802.1X; Wireless network; Wireless WAN; Network Access Control; Computer security; Wireless; Authentication protocol; Wi-Fi array; IEEE 802.11; Telecommunications; Operating system; Cloud computing security; Cloud computing","score_opus":0.008347707513510414,"score_gpt":0.19828361866098945,"score_spread":0.18993591114747904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372948282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58576757,0.00053597434,0.41306648,0.000011763754,0.00017331776,0.00025644276,4.6313863e-7,0.00017951598,0.000008484054],"genre_scores_gemma":[0.93215066,0.000048517057,0.06769037,0.000018729015,0.000021371088,0.000052212697,0.000005413479,0.000011716695,0.0000010152277],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990928,0.000033401433,0.00032993828,0.00021191126,0.000076053846,0.0002558532],"domain_scores_gemma":[0.99969596,0.000053426837,0.0000485877,0.00014242782,0.000027221859,0.000032349762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023493606,0.0001496971,0.0002591603,0.00020868305,0.00007695046,0.0000063929306,0.000096460106,0.00017742503,0.0000025483494],"category_scores_gemma":[9.429439e-7,0.0001588002,0.00000983122,0.0002896695,0.00009006426,0.000046189845,0.0000857526,0.00014671833,0.0000012961773],"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":[0.00010078212,0.0001375353,0.52933544,0.001381776,0.00023361754,0.00020463786,0.0036098945,0.0990756,0.00034976087,0.004338078,0.0014438793,0.35978898],"study_design_scores_gemma":[0.005186917,0.00024110812,0.29728046,0.00050283247,0.000028357576,0.00024913708,0.00039342794,0.67101204,0.021815231,0.00066141033,0.001658479,0.0009706103],"about_ca_topic_score_codex":0.0000056071467,"about_ca_topic_score_gemma":0.000030845487,"teacher_disagreement_score":0.5719364,"about_ca_system_score_codex":0.00009460218,"about_ca_system_score_gemma":0.000048636295,"threshold_uncertainty_score":0.64756846},"labels":[],"label_agreement":null},{"id":"W2379970443","doi":"","title":"Application Research of Library Realizes RFID Automated Management","year":2009,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Technology and Security Systems","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":"Nortel (Canada)","funders":"","keywords":"Computer science; Process (computing); Function (biology); Library management; Radio-frequency identification; Library function; Computer hardware; World Wide Web; Operating system","score_opus":0.019130687232140266,"score_gpt":0.2831243251310749,"score_spread":0.2639936378989346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2379970443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09974563,0.00058456534,0.8871117,0.0062527033,0.00014859329,0.00051899406,6.1747704e-7,0.0037928035,0.0018443773],"genre_scores_gemma":[0.7656199,0.00003800392,0.23414803,0.000095498595,0.000009086007,0.000031841424,0.000003564141,0.0000033024594,0.00005078769],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99877334,0.000045970486,0.00030391,0.0004114286,0.00017147171,0.00029391027],"domain_scores_gemma":[0.9992454,0.000030062436,0.000075230295,0.0005562159,0.000053324366,0.000039758143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034449465,0.00011388209,0.000188044,0.0010752728,0.00020553707,0.000029268942,0.00095254177,0.0002530201,9.516605e-7],"category_scores_gemma":[0.0000033933384,0.000106806016,0.000013510059,0.0012203818,0.00018106934,0.0001843587,0.00067709654,0.00020418622,0.000021378759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037365767,0.00007249975,0.0022261608,0.00003072004,0.000021016429,0.000015291136,0.00046294878,0.000002500857,0.00009212838,0.56340283,0.0015738215,0.43209633],"study_design_scores_gemma":[0.0018742626,0.00091079006,0.28176773,0.00041816672,0.000009833122,0.0003012984,0.00032534878,0.07104409,0.059588775,0.32258722,0.2601899,0.0009826034],"about_ca_topic_score_codex":0.0000014730882,"about_ca_topic_score_gemma":8.515838e-7,"teacher_disagreement_score":0.66587424,"about_ca_system_score_codex":0.000028551061,"about_ca_system_score_gemma":0.00006902623,"threshold_uncertainty_score":0.4355423},"labels":[],"label_agreement":null},{"id":"W2388425332","doi":"","title":"Design and Application of Tarim Desertification Monitoring and Early Warning System","year":2013,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"Advanced Computational Techniques and Applications","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":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Warning system; Early warning system; Watershed; Desertification; Field (mathematics); Tarim river; Tarim basin; Data collection; Data mining; Geology; Groundwater; Machine learning; Telecommunications","score_opus":0.017064734581002952,"score_gpt":0.24146408338923264,"score_spread":0.2243993488082297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2388425332","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14290944,0.00020416355,0.8560255,0.00027756183,0.000017063412,0.00030696767,4.8623306e-8,0.00025212936,0.0000070972583],"genre_scores_gemma":[0.50346565,0.000009246249,0.49638066,0.000004909657,0.000003892909,0.00013074509,3.3802988e-7,0.0000023211364,0.000002245615],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993247,0.000013312134,0.00020723949,0.0002842935,0.00006576652,0.0001047187],"domain_scores_gemma":[0.9995411,0.000051936804,0.00010321799,0.00017290625,0.00009430632,0.000036528127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101928825,0.00008869831,0.000112557085,0.00018914112,0.00016273907,0.000041941392,0.00018310253,0.00007650783,9.740634e-8],"category_scores_gemma":[0.0000024649676,0.000085718006,0.0000047046005,0.00022716049,0.00007059541,0.0001850288,0.00024690718,0.000072976545,0.000002627159],"study_design_candidate":"design_other","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":[0.0000012039276,0.00001792213,0.008042517,0.000044408913,0.00001296894,4.3475623e-7,0.00044102123,0.00027236066,0.0042006467,0.12786414,0.000007993313,0.8590944],"study_design_scores_gemma":[0.00046824195,0.00018082703,0.25559565,0.00019461947,0.000009076464,0.00012712073,0.00012244063,0.5841767,0.089694485,0.06718918,0.0016978271,0.00054382224],"about_ca_topic_score_codex":0.000004433388,"about_ca_topic_score_gemma":3.9704783e-8,"teacher_disagreement_score":0.85855055,"about_ca_system_score_codex":0.000022014827,"about_ca_system_score_gemma":0.000018299686,"threshold_uncertainty_score":0.34954786},"labels":[],"label_agreement":null},{"id":"W2393243802","doi":"","title":"A Mobile IPv6 Security Authentication and Registration Protocol by Introducing a Hierarchical AAA","year":2007,"lang":"en","type":"article","venue":"Computer Technology and Development","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","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":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Mobile IP; Handover; Computer network; Authentication (law); Protocol (science); IPv6; Authentication protocol; Computer security; The Internet; Operating system","score_opus":0.004198213736441938,"score_gpt":0.22193292562346845,"score_spread":0.2177347118870265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393243802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5041151,0.00028703324,0.48294738,0.00011932261,0.00020277424,0.011440118,0.0000016384749,0.00074658234,0.00014003934],"genre_scores_gemma":[0.95724416,0.0000117436775,0.036023464,0.00004713073,0.000081577404,0.006537762,0.000016067646,0.000016334254,0.000021748177],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890476,0.000017215498,0.0003328802,0.0003518975,0.00010514535,0.00028812583],"domain_scores_gemma":[0.99958897,0.00003404111,0.00004518374,0.00022707533,0.00003750209,0.00006723353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004658215,0.00016909908,0.00017453622,0.00018397688,0.00012460737,0.00003729989,0.000111578105,0.00026361385,0.000005677845],"category_scores_gemma":[0.000010650314,0.00017445697,0.000011405272,0.00021970268,0.00015496921,0.00008895173,0.00013769948,0.0003350994,0.000004239255],"study_design_candidate":"design_other","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":[0.00016059143,0.00044594562,0.012210369,0.0009202475,0.00016695783,0.000029659928,0.010449838,0.00022209363,0.003611906,0.008644869,0.007430287,0.95570725],"study_design_scores_gemma":[0.00717242,0.0010617619,0.036666345,0.00045174058,0.00006204112,0.00048451844,0.00041568952,0.19718154,0.088534184,0.053871933,0.61146957,0.0026282708],"about_ca_topic_score_codex":0.0000014907058,"about_ca_topic_score_gemma":0.000014155634,"teacher_disagreement_score":0.953079,"about_ca_system_score_codex":0.00008362015,"about_ca_system_score_gemma":0.000023939843,"threshold_uncertainty_score":0.7114149},"labels":[],"label_agreement":null}]}