{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"16c943e4e47d","filters":{"venue":"Russian Journal of Preventive Medicine"}},"results":[{"id":"W4385324459","doi":"10.17116/profmed20232607196","title":"Correlation between prolonged menopausal hormonotherapy and indicators of vascular and replicative aging in women","year":2023,"lang":"en","type":"article","venue":"Russian Journal of Preventive Medicine","topic":"Menopause: Health Impacts and Treatments","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Defence Medical Centre","funders":"","keywords":"Medicine; Correlation; Post menopausal; Internal medicine; Menopause; Oncology","authors":[{"name":"Yа. A. Orlova","is_ca":false},{"name":"A. G. Plisyuk","is_ca":false},{"name":"G.O. Dolgushin","is_ca":false},{"name":"K. I. Kirillova","is_ca":false},{"name":"Р. К. Михеев","is_ca":true},{"name":"Е. Н. Андреева","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02137409389002237,"gpt":0.3307594573098842,"spread":0.3093853634198618,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001798755,0.0001399812,0.0006639003,0.00074849,0.00004352293,0.000003664637,0.00004180743,0.00006321495,0.00003046649],"category_scores_gemma":[0.000191969,0.00009296556,0.000008934484,0.0005425202,0.0001641347,0.0001079676,0.00002134391,0.0002625559,9.580241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001197806,"about_ca_system_score_gemma":0.000106777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002305559,"about_ca_topic_score_gemma":0.000001424984,"domain_scores_codex":[0.9984139,0.0001732709,0.0006802338,0.0001678814,0.0003241757,0.000240589],"domain_scores_gemma":[0.998706,0.0001552201,0.0006419942,0.0001337032,0.00004373676,0.0003193769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001656178,0.0002554737,0.8171406,0.0007330308,0.00158941,0.0003782269,0.03327025,0.000003177253,0.009707751,0.0002939439,0.0002010543,0.1347708],"study_design_scores_gemma":[0.00913746,0.01086404,0.9759637,0.001385639,0.0002303565,0.0000534559,0.0006351692,0.00001463822,0.0002772879,0.001065707,0.0003071245,0.00006548581],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926829,0.002861271,0.0002405927,0.003474027,0.00004230313,0.000523512,0.000004240268,0.000008480108,0.0001626441],"genre_scores_gemma":[0.9976807,0.001807778,0.0002138127,0.00008137511,0.0001192196,0.00001074938,0.000006829126,0.0000174603,0.00006203505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.158823,"threshold_uncertainty_score":0.3791025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7124753564","doi":"10.17116/profmed20252812115","title":"Public health dynamics in the Republic of Uzbekistan is the basis for the healthcare and health workforce development","year":2025,"lang":"en","type":"article","venue":"Russian Journal of Preventive Medicine","topic":"Economic and Industrial Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"National Defence Medical Centre","funders":"","keywords":"Public health; Health care; Population; Agency (philosophy); Health indicator; The Republic; Health policy; Population health; HRHIS","authors":[{"name":"R.A. Khalfin","is_ca":false},{"name":"A.K. Demin","is_ca":true},{"name":"A.A. Yuldoshev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1645552293783214,"gpt":0.3242009998289546,"spread":0.1596457704506332,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01173431,0.0001450583,0.0006555975,0.0003212278,0.0003074572,0.00003955921,0.0005120386,0.00005587536,0.00004421685],"category_scores_gemma":[0.0003416626,0.00007822693,0.00009960439,0.0004970641,0.0001806159,0.0001173562,0.00005313973,0.0003664115,8.872333e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008523513,"about_ca_system_score_gemma":0.0009303472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002416053,"about_ca_topic_score_gemma":0.0004015423,"domain_scores_codex":[0.9973011,0.0001500691,0.001931557,0.0002001501,0.00008447666,0.0003326725],"domain_scores_gemma":[0.997357,0.0004244806,0.001783813,0.0002648433,0.00006877479,0.0001011353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003988068,0.00007474349,0.04265139,0.0001455246,0.0002080205,6.260719e-7,0.01298663,0.000003068339,4.28673e-8,0.7975263,0.01180242,0.1345613],"study_design_scores_gemma":[0.003023142,0.0007466871,0.5715459,0.00159175,0.00001908245,0.00002607485,0.02536252,0.0006285256,0.000004491052,0.04415853,0.3526958,0.0001974796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007234006,0.03228848,0.02374084,0.931592,0.0007478693,0.00111877,0.0000450017,0.000003230076,0.003229785],"genre_scores_gemma":[0.9847205,0.003845805,0.00077904,0.009404135,0.000137398,0.00003348599,0.000007526868,0.00001114898,0.00106091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9774866,"threshold_uncertainty_score":0.4066901,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4244631597","doi":"10.17116/profmed201720216-18","title":"CINDI-Canada","year":2017,"lang":"en","type":"article","venue":"Russian Journal of Preventive Medicine","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Computer science","authors":[{"name":"S. Stachenko","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02016050005258981,"gpt":0.3030356980289067,"spread":0.2828751979763169,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001659558,0.0002040533,0.0005992777,0.0001884658,0.0003602161,0.00003646719,0.001030897,0.00004258254,0.001836301],"category_scores_gemma":[0.001303623,0.0001365205,0.0001242134,0.00008821027,0.0003981057,0.0004024544,0.00008225538,0.0004608448,0.0000972479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946215,"about_ca_system_score_gemma":0.0008072095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01776096,"about_ca_topic_score_gemma":0.04528712,"domain_scores_codex":[0.997597,0.0001809008,0.0007366729,0.0001540055,0.001000832,0.0003305727],"domain_scores_gemma":[0.996311,0.00008359173,0.00239043,0.000589075,0.0002112581,0.0004146292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001232053,0.0004991259,0.1784594,0.000191753,0.002479092,0.009872514,0.00342743,0.00002045653,0.02229654,0.01793589,0.7039501,0.0596357],"study_design_scores_gemma":[0.0059156,0.000751567,0.8907041,0.001888517,0.0003884981,0.0009256443,0.0006763875,0.00001815002,0.002398928,0.005127616,0.09092637,0.0002786546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6600961,0.00498896,0.002854397,0.04962378,0.008461338,0.0006545742,0.00007500489,0.00003819901,0.2732076],"genre_scores_gemma":[0.9946565,0.0000317484,0.0004009668,0.0001371498,0.001574256,9.646536e-7,0.000001696054,0.00004390497,0.003152792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7122447,"threshold_uncertainty_score":0.9990761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}