{"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":"d11320780261","filters":{"venue":"Russian Journal of Industrial Economics"}},"results":[{"id":"W4411437078","doi":"10.17073/2072-1633-2025-2-1475","title":"Development of new approaches to forecasting and evaluating the effectiveness of mergers and acquisitions","year":2025,"lang":"en","type":"article","venue":"Russian Journal of Industrial Economics","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Mergers and acquisitions; Point (geometry); Term (time); Business; Industrial organization; Computer science; Medium term; Econometrics; Operations research; Economics; Finance; Engineering; Macroeconomics; Mathematics","authors":[{"name":"A. V. Mitenkov","is_ca":false},{"name":"V. F. Klevansky","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3122102567792605,"gpt":0.337167924811566,"spread":0.02495766803230559,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006755047,0.001079755,0.001279574,0.008036885,0.0003997684,0.003121065,0.001770904,0.001203393,0.001777669],"category_scores_gemma":[0.02225657,0.0005532908,0.0008771945,0.003989498,0.001002533,0.003912128,0.001087166,0.001517236,0.0004658505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719349,"about_ca_system_score_gemma":0.001685388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005863306,"about_ca_topic_score_gemma":0.004796369,"domain_scores_codex":[0.9961772,0.001393315,0.0004187124,0.000681594,0.001198341,0.0001307655],"domain_scores_gemma":[0.9848604,0.010454,0.001643625,0.0006640851,0.002159036,0.0002187977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009556896,0.0002573002,0.03693862,0.0005946818,0.0003175852,0.0001697441,0.0008543042,0.3742168,0.002846787,0.07995192,0.003077119,0.5006795],"study_design_scores_gemma":[0.00001432353,0.0001008537,0.005852994,0.0001179804,0.00006138829,0.00008803997,0.0003485554,0.9403583,0.00109938,0.04821448,0.003700319,0.00004335805],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02048802,0.001470009,0.9728284,0.0004768046,0.000080707,0.0001959328,0.0003058836,0.000486797,0.003667382],"genre_scores_gemma":[0.306808,0.001936046,0.6882446,0.0001154957,0.0002564563,0.0003978623,0.0007344139,0.00006713006,0.001439893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008036885,"threshold_uncertainty_score":0.03572458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2416296615","doi":"10.17073/2072-1633-2012-1-135-140","title":"INTERNATIONAL REQUIREMENTS FOR TRAINING AND ACCREDITATION EDUCATIONAL PROGRAMS","year":2015,"lang":"en","type":"article","venue":"Russian Journal of Industrial Economics","topic":"Higher Education Learning Practices","field":"Social 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":"Accreditation; Training (meteorology); Medical education; Psychology; Medicine; Geography","authors":[{"name":"A. V. Aleksakhin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3233114962131297,"gpt":0.4233391825730585,"spread":0.1000276863599288,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02666566,0.001044062,0.0008353019,0.005149119,0.003527156,0.005582897,0.002920639,0.006073367,0.01301692],"category_scores_gemma":[0.04540012,0.0007067669,0.00117566,0.003780703,0.002530164,0.002245917,0.00310541,0.005599916,0.01095343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003167171,"about_ca_system_score_gemma":0.02054474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007669597,"about_ca_topic_score_gemma":0.004740579,"domain_scores_codex":[0.9635367,0.009117318,0.005526954,0.001850611,0.01645243,0.003516057],"domain_scores_gemma":[0.9353978,0.01576127,0.003423029,0.007973348,0.0348704,0.002574174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001894827,0.0004242464,0.005102024,0.001252727,0.00004038261,0.000688772,0.003276066,0.002531669,0.007662889,0.5535896,0.2227603,0.2024819],"study_design_scores_gemma":[0.00002837002,0.000132002,0.008598956,0.0008312786,0.0000286434,0.0005039621,0.0006304632,0.0008033305,0.001553203,0.02053015,0.9663048,0.00005488621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01559017,0.005236824,0.07768906,0.01824229,0.005097283,0.003299733,0.00333781,0.002058633,0.8694482],"genre_scores_gemma":[0.2902479,0.01049589,0.2931522,0.01308787,0.00445517,0.01111283,0.01777252,0.001856854,0.3578188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02666566,"threshold_uncertainty_score":0.1410232,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2517457565","doi":"10.17073/2072-1633-2016-2-183-190","title":"Urban Agglomeration as an Element of Regional Policy (Canada example)","year":2016,"lang":"en","type":"article","venue":"Russian Journal of Industrial Economics","topic":"Cross-Border Cooperation and Integration","field":"Social 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":"Element (criminal law); Economic geography; Economies of agglomeration; Urban agglomeration; Regional science; Regional policy; Geography; Economics; Political science; Economic growth","authors":[{"name":"Pavel Stroyev","is_ca":false},{"name":"M. N. Rawaiev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05710881951761757,"gpt":0.318726060850314,"spread":0.2616172413326964,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005158266,0.0002411668,0.000149893,0.0009526836,0.01121376,0.00344815,0.0007378437,0.000919991,0.004039662],"category_scores_gemma":[0.0009574485,0.0001352283,0.0002588436,0.00232044,0.005150557,0.0006943425,0.002105427,0.0008460609,0.0001877285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08036643,"about_ca_system_score_gemma":0.07057756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9840958,"about_ca_topic_score_gemma":0.990957,"domain_scores_codex":[0.9987798,0.0002155895,0.00001421464,0.00009427854,0.0002776987,0.0006185047],"domain_scores_gemma":[0.9995838,0.0000530973,0.00002405204,0.00002315379,0.0001746755,0.0001412198],"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":[0.00001913399,0.00001465717,0.003063107,0.00004022992,0.000006141539,0.0003353733,0.006548671,0.00251118,0.0002955403,0.9659738,0.009693452,0.01149889],"study_design_scores_gemma":[0.00004885855,0.00004629127,0.03646159,0.0001149512,0.00005148139,0.0003674901,0.04019359,0.00803744,0.001206254,0.0890481,0.8243464,0.00007742798],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2183407,0.002755108,0.00654094,0.01884597,0.0001103519,0.0001963936,0.000530717,0.00009062905,0.7525892],"genre_scores_gemma":[0.9314436,0.001216375,0.003010814,0.000480072,0.00001244474,0.00005520051,0.00009774914,0.00001769391,0.06366599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08036643,"threshold_uncertainty_score":0.583102,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}