{"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":"177e2fc71cce","filters":{"venue":"Вестник Орловского государственного аграрного университета"}},"results":[{"id":"W976333203","doi":"","title":"Meat quality finishing pigs of Canadian selection","year":2013,"lang":"ru","type":"article","venue":"Вестник Орловского государственного аграрного университета","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","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":"Quality (philosophy); Selection (genetic algorithm); Food science; Business; Biology; Computer science; Artificial intelligence","authors":[{"name":"R.N. Lyashuk","is_ca":false},{"name":"S P Novikova","is_ca":false},{"name":"O P Khoreva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09110564692761951,"gpt":0.2721840880898051,"spread":0.1810784411621856,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003717855,0.000354712,0.0004035752,0.001191895,0.002312275,0.0006042957,0.000260781,0.0002296024,0.004474221],"category_scores_gemma":[0.0002809273,0.0002210633,0.0002339892,0.0008488116,0.0005463814,0.0001808431,0.0003687478,0.0002981355,0.000445683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002569223,"about_ca_system_score_gemma":0.002212946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5438125,"about_ca_topic_score_gemma":0.8096038,"domain_scores_codex":[0.9995284,0.00002975905,0.0000145365,0.0001268761,0.0001067177,0.000193725],"domain_scores_gemma":[0.9995039,0.00003324336,0.00004644552,0.00002423939,0.0002189747,0.0001731815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005118619,0.001069155,0.6816654,0.0001240593,0.0004086443,0.00205177,0.008783058,0.0003218706,0.2521913,0.001616074,0.002453329,0.04419665],"study_design_scores_gemma":[0.00001070814,0.000197222,0.9960652,0.00000457305,0.00002428357,0.0001655043,0.0008777159,0.00005329442,0.0009060673,0.00001915341,0.001668601,0.000007629098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972759,0.00006659997,0.0001463288,0.00002178154,0.000004516819,0.00001386915,0.0003653826,0.000004899096,0.002100852],"genre_scores_gemma":[0.9884774,0.00009080271,0.0004609173,0.00003119055,0.00000529822,0.00001826568,0.0008220532,0.00001295152,0.01008102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4561875,"threshold_uncertainty_score":0.9177483,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2269316897","doi":"","title":"USE IN SELECTION OF BLACK CURRANTS OF GENOFOND OF KOKINO BASE STATION OF ALL - RUSSIAN SELECTION AND TECHNOLOGICAL INSTITUTE OF HORTICULTURE AND BREEING NURSERY","year":2013,"lang":"ru","type":"article","venue":"Вестник Орловского государственного аграрного университета","topic":"Berry genetics and cultivation research","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":"Selection (genetic algorithm); Agriculture; Crop; Biology; Horticulture; Resistance (ecology); Plant breeding; Black spot; Biotechnology; Geography; Agricultural science; Agronomy; Ecology; Computer science","authors":[{"name":"Ф. Ф. Сазонов","is_ca":false},{"name":"O. V. Danshina","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0415560244236737,"gpt":0.2631221131943119,"spread":0.2215660887706382,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002673016,0.0004337264,0.0003707109,0.0007947391,0.0009694041,0.0002743605,0.0003362119,0.0002147038,0.00414674],"category_scores_gemma":[0.0001404409,0.0001374482,0.00038096,0.0004356329,0.0001367616,0.0001141139,0.0004242538,0.0002204997,0.001190213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548893,"about_ca_system_score_gemma":0.000350667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871987,"about_ca_topic_score_gemma":0.008195972,"domain_scores_codex":[0.9998167,0.00002361831,0.00001168194,0.0000707103,0.0000419186,0.00003540203],"domain_scores_gemma":[0.9998363,0.00001960292,0.00002654942,0.00002450545,0.00002794508,0.00006512347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001003369,0.0003240373,0.07947409,0.0001633899,0.00006929954,0.001146803,0.001319653,0.0001012215,0.8514395,0.0002138833,0.001132022,0.06361271],"study_design_scores_gemma":[0.0001105625,0.002650257,0.8132056,0.00005728456,0.0002414331,0.003379856,0.001766065,0.0002577991,0.1156758,0.00009926082,0.06251022,0.00004579663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935876,0.0003519615,0.001081008,0.00003783873,0.00002263863,0.0001441352,0.0009572759,0.00002347329,0.003794058],"genre_scores_gemma":[0.9414703,0.001133202,0.01883385,0.0001463688,0.00004902787,0.0004462093,0.008825896,0.0001626404,0.02893246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00414674,"threshold_uncertainty_score":0.01387221,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}