{"meta":{"query_hash":"39175aaa8d89","filters":{"venue":"Russian Agency for Digital Standardization"},"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/39175aaa8d89","api":"https://metacan.xera.ac/api/v1/cohort?venue=Russian+Agency+for+Digital+Standardization"},"results":[{"id":"W3217300923","doi":"10.23649/jae.2021.3.19.4","title":"STUDY OF SOWING QUALITIES OF SOYBEAN SEEDS IN SEED FARMS OF AMUR REGION","year":2021,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":3,"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":"Sowing; Crop; Agronomy; Biology; Cultivar","score_opus":0.03117166511592705,"score_gpt":0.24601284601212214,"score_spread":0.21484118089619508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217300923","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":[0.9976253,0.00007289248,0.0005203632,0.00015683916,0.00005437923,0.00042657374,0.00018148696,0.000012008287,0.00095015665],"genre_scores_gemma":[0.99958026,0.00001035605,0.000027896207,0.0000043091054,0.000038261045,0.000009116997,0.00013809756,0.0000010956627,0.00019062385],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9989378,0.000042195446,0.00044340413,0.00020018617,0.00024592405,0.00013052762],"domain_scores_gemma":[0.9994881,0.00004943546,0.0002388171,0.00005680971,0.00014134299,0.000025450187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015891234,0.000098489,0.00025931175,0.000016930018,0.000053898548,0.000027700164,0.000089101755,0.00004656754,0.000011739365],"category_scores_gemma":[0.00008414457,0.00004311523,0.000097646596,0.00043407493,0.000039042774,0.0003234262,0.000044241,0.000035141158,1.6007719e-7],"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":[0.000712153,0.005170042,0.21735936,0.0007983128,0.00027140923,0.000014443354,0.023319004,0.0008510883,0.572295,0.016214667,0.000110976056,0.16288352],"study_design_scores_gemma":[0.0012951486,0.002834509,0.77216196,0.0002325811,0.00005281857,0.000004258453,0.05327239,0.00004947874,0.1633487,0.0058626547,0.0004958693,0.00038963227],"about_ca_topic_score_codex":0.000085485604,"about_ca_topic_score_gemma":0.00024153011,"teacher_disagreement_score":0.5548026,"about_ca_system_score_codex":0.00003042862,"about_ca_system_score_gemma":0.000016588087,"threshold_uncertainty_score":0.1758188},"labels":[],"label_agreement":null},{"id":"W6888524537","doi":"10.20388/omp2016.00s2.001","title":"PROCEEDINGS OF VOLGA NEUROSCIENCE MEETING 2016 ANDVOLGA NEUROSCIENCE SCHOOL 2016Section CELLULAR NEUROSCIENCE","year":2016,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","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":"Douglas Mental Health University Institute","funders":"","keywords":"Section (typography); Volga region; Special section; Neuroinformatics","score_opus":0.022730278859255052,"score_gpt":0.2585335072393857,"score_spread":0.23580322838013063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888524537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4636555,0.000049971073,0.49160665,0.0016297527,0.006427187,0.0026637323,0.0008509993,0.0006207662,0.032495428],"genre_scores_gemma":[0.9941482,0.0001269917,0.00010344993,0.0007229051,0.00018882888,0.00009925007,0.0000041399794,0.0000539021,0.004552356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9953594,0.000054397926,0.0008004286,0.0016519374,0.001299228,0.0008345768],"domain_scores_gemma":[0.9979453,0.00016088573,0.0007300474,0.0003235741,0.00041363912,0.00042656297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005925867,0.00040854246,0.00032642588,0.00050398585,0.0009462071,0.0006864625,0.0007967147,0.000104876315,0.000042754462],"category_scores_gemma":[0.007045473,0.0003112823,0.00020764781,0.00237107,0.00095497194,0.00490052,0.00016011778,0.00014615772,0.000029533578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010106877,0.00015590977,0.0025592707,0.000039890485,4.5200113e-7,0.0000017687997,0.00007381893,0.00003872958,0.98182386,0.005860755,0.0007961837,0.008548272],"study_design_scores_gemma":[0.0011245047,0.0010740237,0.019424774,0.00025366183,0.000024130977,0.000044869477,0.000060726994,0.0019692117,0.9248315,0.0043722712,0.04612626,0.00069405505],"about_ca_topic_score_codex":0.0000036220024,"about_ca_topic_score_gemma":6.985811e-7,"teacher_disagreement_score":0.53049266,"about_ca_system_score_codex":0.00018336457,"about_ca_system_score_gemma":0.0004325708,"threshold_uncertainty_score":0.9999339},"labels":[],"label_agreement":null},{"id":"W6889268237","doi":"10.25513/2312-1300.2017.3.479-481","title":"Осмысливая документы по истории отечества (Омские исторические чтения в ОмГУ им. Ф. М. Достоевского)","year":2017,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Library Science and Information","field":"Computer Science","cited_by":2,"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":"Plenary session; State (computer science); Session (web analytics); Subject (documents); Quarter (Canadian coin)","score_opus":0.015724866546298028,"score_gpt":0.25365798451329385,"score_spread":0.23793311796699582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889268237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025744669,0.00006213579,0.8224687,0.0020239367,0.0011877936,0.000682198,0.00027707234,0.00034109113,0.17038259],"genre_scores_gemma":[0.9860738,0.000051419822,0.009810146,0.00035381393,0.00030874292,0.00004705739,0.00023924015,0.000030848823,0.0030849641],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972573,0.000017713977,0.0006444563,0.0006301404,0.0007957217,0.0006546938],"domain_scores_gemma":[0.9975074,0.000044229073,0.00058514986,0.0014340905,0.00016049884,0.0002686204],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0004294586,0.00033291345,0.00031242307,0.00021183494,0.0016325426,0.0054159155,0.0021978095,0.00015607757,0.00006553014],"category_scores_gemma":[0.00023992179,0.00029617,0.00024852858,0.0003798964,0.00018563736,0.02573452,0.00042095123,0.00012758987,0.00023769513],"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":[0.000057273064,0.00011437354,0.0036413153,0.0001066147,0.00005103576,0.000011432406,0.001844067,0.00034895662,0.00013427468,0.36564434,0.014136099,0.6139102],"study_design_scores_gemma":[0.003756735,0.0012101483,0.08690707,0.00032673794,0.000049273178,0.000058914255,0.00019623528,0.13366953,0.009426445,0.16942817,0.59249514,0.0024756172],"about_ca_topic_score_codex":0.000009454741,"about_ca_topic_score_gemma":0.0000043455784,"teacher_disagreement_score":0.9834993,"about_ca_system_score_codex":0.00013506455,"about_ca_system_score_gemma":0.00028953428,"threshold_uncertainty_score":0.99994904},"labels":[],"label_agreement":null},{"id":"W6890259492","doi":"10.34983/dtipb.2020.65.75.001","title":"ЭФФЕКТИВНОСТЬ МЕНЕДЖМЕНТА ПРЕДПРИЯТИЯ: ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ","year":2020,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Military Technology and Strategies","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":"SKiN Health","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.014262496169604816,"score_gpt":0.22155044229418167,"score_spread":0.20728794612457685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6890259492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006166438,0.00522605,0.7577548,0.0033287536,0.0010673117,0.0015622869,0.005894354,0.0018829235,0.21711707],"genre_scores_gemma":[0.9958238,0.0005554974,0.0013153447,0.00014304223,0.0004937468,0.000058858568,0.00083043874,0.0001395608,0.00063970604],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99728525,0.000026397434,0.0007991616,0.0007140997,0.00041297168,0.00076213275],"domain_scores_gemma":[0.99893314,0.000069013266,0.00013646959,0.00043287623,0.00010042634,0.00032809845],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014894045,0.00059378316,0.00060709304,0.00014892156,0.00033194973,0.00038779082,0.00045572774,0.00054459105,0.00039464323],"category_scores_gemma":[0.00025691712,0.0006367131,0.0003692771,0.0007041427,0.0001803189,0.0012772393,0.00008886058,0.0003768777,0.00024540073],"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":[0.0011397096,0.00026491322,0.002072033,0.0036620903,0.0012275388,0.00013146366,0.0077801473,0.041605238,0.0008615838,0.7331045,0.040637214,0.16751352],"study_design_scores_gemma":[0.0067070522,0.003840716,0.006657433,0.000829157,0.00071216194,0.000047711386,0.0027137445,0.11797092,0.0042511853,0.21090803,0.64037174,0.004990177],"about_ca_topic_score_codex":0.0000041877615,"about_ca_topic_score_gemma":0.00000921137,"teacher_disagreement_score":0.98965734,"about_ca_system_score_codex":0.0002035368,"about_ca_system_score_gemma":0.00016156911,"threshold_uncertainty_score":0.9996084},"labels":[],"label_agreement":null},{"id":"W6908336554","doi":"10.25728/assa.2022.22.1.1004","title":"Evolutionary Game to Model Risk Appetite of Individual Investors","year":2022,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","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":"HEC Montréal","funders":"","keywords":"Investment (military); Set (abstract data type); Investment strategy; Evolutionarily stable strategy; Risk appetite; Investment decisions; Evolutionary game theory","score_opus":0.023932257696445115,"score_gpt":0.21334140874068275,"score_spread":0.18940915104423764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6908336554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09165815,0.0009514956,0.8411249,0.00023774238,0.00025188806,0.00070090697,0.03901861,0.0000547659,0.026001522],"genre_scores_gemma":[0.9964681,0.000015299176,0.0014743317,0.000032915683,0.000042306492,0.000081070786,0.0004909291,0.000025127232,0.0013699012],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987846,0.000010270465,0.00058865425,0.00030474155,0.00012481345,0.00018692068],"domain_scores_gemma":[0.99924886,0.000015818758,0.00039431656,0.00022777046,0.000032575175,0.00008067106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031398522,0.00011437674,0.00030371442,0.0003054344,0.00023538196,0.0000784851,0.00020894903,0.000029531477,0.00036865886],"category_scores_gemma":[0.000078104385,0.00014057828,0.00021188594,0.00055851415,0.000025420164,0.00028830935,0.00014325694,0.00005785952,0.00002044862],"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":[0.00008810827,0.00012909563,0.016362544,0.000059445574,0.00021400928,5.6352843e-7,0.0018332392,0.3292125,0.0000054878224,0.64497954,0.0031255826,0.0039899247],"study_design_scores_gemma":[0.0010705399,0.0007295431,0.0319648,0.000027336519,0.000057668534,0.000003808553,0.00040604302,0.2089311,0.000015269874,0.32905072,0.427012,0.00073117705],"about_ca_topic_score_codex":0.00005106844,"about_ca_topic_score_gemma":0.000006889311,"teacher_disagreement_score":0.90480995,"about_ca_system_score_codex":0.00019038166,"about_ca_system_score_gemma":0.000043750937,"threshold_uncertainty_score":0.57326156},"labels":[],"label_agreement":null},{"id":"W6909334235","doi":"10.34983/dtipb.2020.46.70.001","title":"МЕХАНИЗМ УПРАВЛЕНИЯ ИНВЕСТИЦИОННОЙ ДЕЯТЕЛЬНОСТЬЮ ПРЕДПРИЯТИЯ","year":2020,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Military Technology and Strategies","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":"SKiN Health","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.014262496169604816,"score_gpt":0.22155044229418167,"score_spread":0.20728794612457685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6909334235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004035925,0.0058463654,0.73637927,0.0047225025,0.0009894117,0.0014365115,0.005143076,0.0016242508,0.23982267],"genre_scores_gemma":[0.9947772,0.00072967855,0.0022345113,0.00019155456,0.00050499145,0.00005727598,0.00071547786,0.00014247197,0.00064686104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99725026,0.000024537874,0.00084837805,0.00071456545,0.00041337847,0.00074885983],"domain_scores_gemma":[0.99889535,0.000066941364,0.00014447044,0.00043081323,0.00012997526,0.00033244386],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015816934,0.000596938,0.0006166796,0.00014932586,0.000329493,0.00038617774,0.00044954743,0.0005439211,0.00052446034],"category_scores_gemma":[0.00035679882,0.00063362793,0.00037916467,0.00071140286,0.00016710094,0.001273849,0.00008670464,0.00037167952,0.0002461356],"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":[0.0006765461,0.00017900046,0.0015623949,0.002872427,0.000994438,0.00010045109,0.0051529864,0.024368783,0.00075390824,0.69991815,0.041938987,0.22148195],"study_design_scores_gemma":[0.0063546025,0.0035139357,0.005958962,0.00096886256,0.0006849516,0.000046646615,0.0022099395,0.15638463,0.0033720043,0.24658413,0.5692572,0.0046641454],"about_ca_topic_score_codex":0.0000046116156,"about_ca_topic_score_gemma":0.000009595368,"teacher_disagreement_score":0.99074125,"about_ca_system_score_codex":0.00019302426,"about_ca_system_score_gemma":0.00016630204,"threshold_uncertainty_score":0.9996115},"labels":[],"label_agreement":null},{"id":"W6927540727","doi":"10.34983/dtipb.2020.33.51.001","title":"ОСНОВА ФОРМИРОВАНИЯ ФИНАНСОВОЙ СТРАТЕГИИ ПРЕДПРИЯТИЯ","year":2020,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Military Technology and Strategies","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":"SKiN Health","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.014262496169604816,"score_gpt":0.22155044229418167,"score_spread":0.20728794612457685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6927540727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062537934,0.0046412265,0.74367136,0.0028097802,0.001023083,0.0013638196,0.0049859537,0.0015940659,0.23365693],"genre_scores_gemma":[0.9960837,0.0005510136,0.0012211109,0.00012268941,0.00047153365,0.000054578628,0.0007536444,0.0001273622,0.0006144102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974929,0.000024405912,0.0007422639,0.0006612081,0.00037253686,0.00070669816],"domain_scores_gemma":[0.9990047,0.00006803585,0.00012730982,0.0004104791,0.0000924281,0.0002970198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013638719,0.0005479536,0.00056175503,0.00014100705,0.00032133315,0.0003730595,0.00042597065,0.00051061896,0.0004741145],"category_scores_gemma":[0.00025454015,0.0005887855,0.00034881788,0.0006854118,0.00016188971,0.0011762885,0.00008367298,0.0003522635,0.0002366939],"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":[0.0007330131,0.00021447607,0.00176339,0.003168912,0.0010521737,0.00011371912,0.0072564133,0.02851459,0.0007012874,0.72479284,0.028446881,0.20324232],"study_design_scores_gemma":[0.0059915646,0.0035698216,0.00803951,0.00079148496,0.00066566677,0.000041358704,0.0022064382,0.1256717,0.003550179,0.25661638,0.58819747,0.0046584303],"about_ca_topic_score_codex":0.0000036315812,"about_ca_topic_score_gemma":0.000007684853,"teacher_disagreement_score":0.98982984,"about_ca_system_score_codex":0.00018247854,"about_ca_system_score_gemma":0.00015427967,"threshold_uncertainty_score":0.9996564},"labels":[],"label_agreement":null},{"id":"W6927713762","doi":"10.34986/makao.2021.60.65.001","title":"Telemedical monitoring of body temperature: Application in clinical practice","year":2021,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Infrared Thermography in Medicine","field":"Medicine","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":"St. Peter's Hospital","funders":"","keywords":"Telemedicine; Clinical Practice; Remote patient monitoring; Key (lock); Power (physics)","score_opus":0.013651787646304574,"score_gpt":0.3487715862626208,"score_spread":0.3351197986163162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6927713762","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":[0.68597645,0.0022028736,0.26735413,0.0033373754,0.0013718491,0.0026090194,0.00040205178,0.00017825961,0.036568016],"genre_scores_gemma":[0.9899415,0.0002183638,0.008719457,0.00010124589,0.0005117582,0.000047132347,0.0003536754,0.000028756269,0.00007811202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808913,0.000047637266,0.00082981726,0.0003077158,0.00052248675,0.00020322332],"domain_scores_gemma":[0.99877065,0.00021574658,0.00021818143,0.00030512738,0.0003630268,0.00012728588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006387271,0.00012942681,0.00036068738,0.00012081765,0.0000435442,0.000029707973,0.00006897538,0.00018420634,0.00002236397],"category_scores_gemma":[0.0028923056,0.00011818454,0.00016447117,0.0006779506,0.00009237174,0.0003101702,0.000022928229,0.0002285274,0.000002503669],"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":[0.0025058792,0.0025462979,0.50578904,0.001054604,0.00049286935,0.00027898,0.0011840422,0.000052640047,0.017190265,0.023307499,0.001312136,0.44428572],"study_design_scores_gemma":[0.008670267,0.001474744,0.89427257,0.0011909028,0.00038893824,0.00020656445,0.001084217,0.00042254402,0.023995776,0.004359649,0.063485086,0.00044873025],"about_ca_topic_score_codex":0.0000019786148,"about_ca_topic_score_gemma":5.812423e-7,"teacher_disagreement_score":0.443837,"about_ca_system_score_codex":0.00009004027,"about_ca_system_score_gemma":0.00031631207,"threshold_uncertainty_score":0.48194253},"labels":[],"label_agreement":null},{"id":"W6945837811","doi":"10.25714/mnt.2019.40.011","title":"КАТАЛОГ ЗЕМЛЕТРЯСЕНИЙ СЕВЕРО-ВОСТОЧНОГО КАВКАЗА (ТЕРРИТОРИЯ ДАГЕСТАНА И ПРИГРАНИЧНЫЕ ЗОНЫ) И АКВАТОРИИ СРЕДНЕГО КАСПИЯ ЗА I КВАРТАЛ 2019г.","year":2019,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Legal and Regulatory Analysis","field":"Social Sciences","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":"Period (music); Quarter (Canadian coin); Epicenter; Distribution (mathematics); Telmatology","score_opus":0.008797597604433868,"score_gpt":0.2620476895552225,"score_spread":0.2532500919507886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945837811","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16289361,0.0063649807,0.079755194,0.009814762,0.0125467675,0.009079003,0.010359119,0.0013581086,0.70782846],"genre_scores_gemma":[0.9162894,0.0006125322,0.0002836988,0.00030612803,0.0015447101,0.0000748132,0.0010540292,0.00018556151,0.07964916],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9916348,0.00032654795,0.0017514684,0.0018898702,0.0024300602,0.0019672806],"domain_scores_gemma":[0.9957625,0.00027379172,0.0010949838,0.0012018473,0.0007328375,0.0009340243],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013887853,0.0011240079,0.0014910352,0.00054460915,0.0019173755,0.002290877,0.0012706228,0.001013961,0.0040925425],"category_scores_gemma":[0.0004545109,0.0010332719,0.0016678905,0.0026175824,0.00077879446,0.004199372,0.00029476197,0.0005193703,0.002134892],"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":[0.0024399878,0.0033617374,0.05924462,0.0031622457,0.0055565108,0.00014319216,0.047787096,0.008207007,0.0020609125,0.45852637,0.073485576,0.33602476],"study_design_scores_gemma":[0.0035913256,0.0010471935,0.007804144,0.0006296565,0.00095847785,0.000011719404,0.0034709503,0.0036957718,0.0010983051,0.026314326,0.9484146,0.0029634933],"about_ca_topic_score_codex":0.00027216473,"about_ca_topic_score_gemma":0.0002309666,"teacher_disagreement_score":0.8749291,"about_ca_system_score_codex":0.0010854399,"about_ca_system_score_gemma":0.0012603897,"threshold_uncertainty_score":0.999382},"labels":[],"label_agreement":null},{"id":"W6946395353","doi":"10.34649/at.2022.9.9.001","title":"Применение систем коротковолновой радиосвязи на малоинтенсивных железнодорожных участках","year":2022,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","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":"Ivanhoe Energy (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.006505539886643616,"score_gpt":0.25283826712419527,"score_spread":0.24633272723755165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6946395353","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032599956,0.010644129,0.7922655,0.0012117467,0.0010121411,0.004569465,0.0126472525,0.0004962451,0.14455362],"genre_scores_gemma":[0.9716797,0.0007941705,0.0012363783,0.00035347743,0.0006266938,0.00040707825,0.0120622,0.00022272283,0.012617614],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99538714,0.00017895973,0.001107349,0.0014368976,0.00093656674,0.00095306284],"domain_scores_gemma":[0.99745744,0.000044552933,0.00064580113,0.0012684505,0.0002813099,0.00030246956],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069277507,0.0007221622,0.0006806404,0.00032752458,0.0011534702,0.0006990747,0.0008593245,0.0003346695,0.00096685224],"category_scores_gemma":[0.00031365568,0.0008341085,0.0009816214,0.00085475,0.0002156604,0.00011044015,0.000823954,0.00035843244,0.000039198956],"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":[0.0041795624,0.003665393,0.0048667807,0.0012739077,0.003969554,0.00023808471,0.0018646927,0.005988872,0.15031056,0.016405178,0.4499959,0.35724148],"study_design_scores_gemma":[0.0015490765,0.0021908153,0.0003115619,0.000051857747,0.00040192765,0.000050192844,0.0003107974,0.0011517864,0.078408,0.0038716614,0.91032773,0.0013745889],"about_ca_topic_score_codex":0.000025932135,"about_ca_topic_score_gemma":0.000020959582,"teacher_disagreement_score":0.9390797,"about_ca_system_score_codex":0.0005102506,"about_ca_system_score_gemma":0.0005249345,"threshold_uncertainty_score":0.9999464},"labels":[],"label_agreement":null},{"id":"W6946509665","doi":"10.34649/at.2022.4.4.002","title":"Анализ датчиков автоматической системы обогрева стрелочных переводов","year":2022,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Victoria Regional Health Centre","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","score_opus":0.016178601361735136,"score_gpt":0.27063459398810535,"score_spread":0.2544559926263702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6946509665","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065315515,0.007179832,0.05957537,0.0057510384,0.0039230697,0.004570797,0.070656285,0.0011628241,0.78186524],"genre_scores_gemma":[0.94770473,0.00019781214,0.00019666241,0.000109760775,0.0011644457,0.00039031205,0.004917783,0.00025495433,0.045063533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99347097,0.000117976684,0.0011967339,0.001395027,0.0022312624,0.0015880227],"domain_scores_gemma":[0.9973903,0.00019150734,0.0005185144,0.0010642279,0.00024588106,0.00058958057],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006902453,0.00077682995,0.00077734876,0.00030938612,0.0023015789,0.0013859967,0.0011359816,0.00033427624,0.009253971],"category_scores_gemma":[0.0003831435,0.0008424234,0.0008055561,0.0011689026,0.00024126314,0.0010199805,0.0008590776,0.00090690353,0.00019833239],"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":[0.005670066,0.0061899363,0.008559184,0.007966177,0.0032669848,0.0009194025,0.011111878,0.012894969,0.022638258,0.09145384,0.27345055,0.55587876],"study_design_scores_gemma":[0.005591902,0.0013751397,0.00081408577,0.00033744038,0.00029916025,0.000102011734,0.0027479292,0.004597712,0.015630968,0.0155006815,0.95065635,0.0023466225],"about_ca_topic_score_codex":0.000025065787,"about_ca_topic_score_gemma":0.000008646866,"teacher_disagreement_score":0.8823892,"about_ca_system_score_codex":0.0013326484,"about_ca_system_score_gemma":0.0010638987,"threshold_uncertainty_score":0.99965066},"labels":[],"label_agreement":null},{"id":"W6946519547","doi":"10.34986/makao.2021.98.61.001","title":"Telemedical monitoring of body temperature: Application in clinical practice","year":2021,"lang":"en","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental 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":"St. Peter's Hospital","funders":"","keywords":"Telemedicine; Clinical Practice; Remote patient monitoring; Key (lock); Power (physics)","score_opus":0.012660279081239702,"score_gpt":0.29046689194041475,"score_spread":0.2778066128591751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6946519547","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":[0.93462783,0.00027778305,0.0427228,0.00071057136,0.00039572534,0.0008063699,0.0003655721,0.000048484955,0.020044837],"genre_scores_gemma":[0.98676634,0.00020122596,0.01272307,0.000033851,0.00005839781,0.000018264904,0.000083162675,0.000009635164,0.000106026295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868137,0.00003613247,0.00041225474,0.00031627025,0.0003922851,0.00016171306],"domain_scores_gemma":[0.9994916,0.000114790804,0.00014292616,0.00017285821,0.000014831202,0.000062999905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003015792,0.000100325,0.00016469021,0.000019987385,0.00008822429,0.000034175948,0.00010883486,0.000091780734,0.00006432824],"category_scores_gemma":[0.0005707449,0.00010199945,0.00008189385,0.00026791045,0.00015233523,0.0005362939,0.00014187553,0.00009332897,0.000031909],"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":[0.000056926572,0.00029152076,0.96406156,0.000020966074,0.00002297377,0.00000880794,0.00019984171,0.00020304123,0.0016879489,0.00032257786,0.0005120699,0.032611743],"study_design_scores_gemma":[0.000596319,0.00010005718,0.9662075,0.00002637708,0.00002428781,0.000004317537,0.00033309628,0.00007507923,0.004925391,0.0005067724,0.027052157,0.00014863897],"about_ca_topic_score_codex":0.0000090377835,"about_ca_topic_score_gemma":0.0000038661597,"teacher_disagreement_score":0.052138507,"about_ca_system_score_codex":0.00021551126,"about_ca_system_score_gemma":0.000012881041,"threshold_uncertainty_score":0.41594172},"labels":[],"label_agreement":null},{"id":"W6963817999","doi":"10.21265/psyph.2024.60.81.002","title":"Клиническая эффективность, переносимость и влияние на социальное функционирование карипразина и оланзапина при терапии больных с депрессивным синдромом, перенесших первый эпизод шизофрении","year":2024,"lang":"ru","type":"article","venue":"Russian Agency for Digital Standardization","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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":"Depression (economics); Scale (ratio); Rating scale; Term (time)","score_opus":0.017305152306217677,"score_gpt":0.2331916976712996,"score_spread":0.21588654536508192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6963817999","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":[0.595872,0.035777237,0.011903141,0.0429801,0.02426062,0.011548879,0.08049038,0.004490842,0.19267684],"genre_scores_gemma":[0.96236527,0.0023677442,0.00023228512,0.00042335576,0.0021816294,0.00010885071,0.0037269525,0.00004256373,0.02855132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99297214,0.00020833759,0.001454231,0.0021548744,0.0012001421,0.002010265],"domain_scores_gemma":[0.9973908,0.0006647423,0.00047801374,0.0004215967,0.00041821986,0.00062661147],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.00094930205,0.0013231855,0.0012788707,0.00024808032,0.0027277286,0.00241506,0.001105597,0.0011544817,0.0029803722],"category_scores_gemma":[0.0005300214,0.00077418075,0.0013663871,0.001820797,0.001010485,0.0019922443,0.00066890614,0.0007192412,0.0018496511],"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":[0.0021104566,0.002342708,0.0679799,0.0030409114,0.0039647897,0.0006134539,0.0061322413,0.0004939902,0.0013414237,0.0833903,0.48070055,0.34788927],"study_design_scores_gemma":[0.0013881011,0.0030141629,0.08680363,0.00084161,0.0007463762,0.00006109377,0.001818989,0.0011183136,0.0005693958,0.019173956,0.88198054,0.0024838157],"about_ca_topic_score_codex":0.00011103118,"about_ca_topic_score_gemma":0.0005686752,"teacher_disagreement_score":0.40128002,"about_ca_system_score_codex":0.00073036074,"about_ca_system_score_gemma":0.00030459976,"threshold_uncertainty_score":0.99995196},"labels":[],"label_agreement":null}]}