{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"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":"f79334604cf8","filters":{"venue":"АГРАРНЫЙ ВЕСТНИК ВЕРХНЕВОЛЖЬЯ"}},"results":[{"id":"W4242820353","doi":"10.35523/2307-5872-2019-27-2-16-22","title":"ASSESSMENT OF GENOTYPES OF YARN BARLEY FROM THE COLLECTION OF VIR FOR ADAPTIVITY AND PRODUCTIVITY UNDER CONDITIONS OF EASTERN SIBERIA","year":2019,"lang":"en","type":"article","venue":"АГРАРНЫЙ ВЕСТНИК ВЕРХНЕВОЛЖЬЯ","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geography; Samara; Grain yield; Czech; Physical geography; Archaeology; Biology; Horticulture; Ecology","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01866648284635239,"gpt":0.2356968012219684,"spread":0.217030318375616,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006324921,0.0003960432,0.0003743899,0.001308004,0.0007204778,0.0005497495,0.0002437099,0.0001878318,0.001075565],"category_scores_gemma":[0.0005468057,0.0001391191,0.0003270566,0.001280403,0.0002233848,0.0001484023,0.0004713228,0.0001730643,0.0004595971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004316671,"about_ca_system_score_gemma":0.0003436923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004470591,"about_ca_topic_score_gemma":0.007649124,"domain_scores_codex":[0.9995442,0.00006489869,0.00006159304,0.0001649822,0.0001073029,0.00005692993],"domain_scores_gemma":[0.9995802,0.00003955733,0.00009329078,0.0001036821,0.0001311027,0.00005216585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000679463,0.0001117702,0.8023624,0.00009679942,0.0002147527,0.0005437622,0.00224676,0.0005229213,0.1577974,0.0001410468,0.0003826374,0.03490041],"study_design_scores_gemma":[0.000002433125,0.00006169371,0.995701,0.000006533207,0.00002628374,0.0001949168,0.0002519146,0.00008550813,0.00239963,0.00001967471,0.001246445,0.000004012288],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974105,0.000158504,0.0004392495,0.000005759445,0.000005417369,0.00001477533,0.001416472,0.00001049495,0.0005388592],"genre_scores_gemma":[0.9910588,0.0001653609,0.001670902,0.00001474483,0.000006458921,0.00005137594,0.005617238,0.00002315187,0.001391945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004470591,"threshold_uncertainty_score":0.008889139,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4237128774","doi":"10.35523/2307-5872-2020-31-2-118-124","title":"ADVANTAGES IN GLOBAL ECONOMY OF RUSSIAN AGRICULTURAL PRODUCTION OF GRAIN CROPS","year":2020,"lang":"en","type":"article","venue":"АГРАРНЫЙ ВЕСТНИК ВЕРХНЕВОЛЖЬЯ","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Arable land; Agriculture; Business; Tourism; Agricultural productivity; Russian federation; Geography; Agricultural economics; Economy; Environmental protection; Economic policy; Economics","authors":[],"retraction":null,"screen_n_in":null,"score":{"opus":0.01257773795543098,"gpt":0.2076157944416061,"spread":0.1950380564861751,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003583403,0.0001832084,0.0001068601,0.0003340413,0.0007590363,0.001566875,0.00014088,0.0002632275,0.00774987],"category_scores_gemma":[0.0002951797,0.00006864023,0.0002162643,0.0004642529,0.0004370658,0.0008004057,0.0009871037,0.000370196,0.001478628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007876881,"about_ca_system_score_gemma":0.001302321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368773,"about_ca_topic_score_gemma":0.003613726,"domain_scores_codex":[0.9998108,0.00003335298,0.0000117406,0.00003742209,0.00005549367,0.00005117365],"domain_scores_gemma":[0.9999058,0.00001020228,0.00002115937,0.00001438609,0.00002515281,0.00002316108],"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":[0.0002797318,0.0001511914,0.06639211,0.000662307,0.00009108884,0.002041549,0.006284939,0.002231633,0.01569218,0.5313805,0.04624346,0.3285493],"study_design_scores_gemma":[0.00001941381,0.0000963631,0.1258085,0.0001781083,0.00004607284,0.001127242,0.002927048,0.0006353215,0.001809603,0.01764302,0.8496866,0.00002270094],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3772643,0.008148134,0.002629746,0.007019169,0.0003400631,0.00003626214,0.000855473,0.0001468454,0.6035601],"genre_scores_gemma":[0.9321526,0.005191323,0.001897157,0.0005191216,0.0001126507,0.00001928775,0.0004561683,0.0000445383,0.05960712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00774987,"threshold_uncertainty_score":0.02592587,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}