{"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":"e89b93960737","filters":{"venue":"Journal of management economics and technology"}},"results":[{"id":"W4408363163","doi":"10.69803/3083-6034-2024-3-137","title":"Numerical characteristics of live, grade, and quarter methods of log sawing. Subject of study.","year":2024,"lang":"en","type":"article","venue":"Journal of management economics and technology","topic":"Forest Biomass Utilization and Management","field":"Engineering","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":"Quarter (Canadian coin); Subject (documents); Mathematics; Statistics; Computer science; History; World Wide Web; Archaeology","authors":[{"name":"S. A. Shevchenko","is_ca":false},{"name":"Ольга Тупчій","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008269189781409053,"gpt":0.2455189914575938,"spread":0.2372498016761847,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003009576,0.00008378601,0.000318884,0.0005795098,0.000008083368,0.0000115032,0.0001035887,0.00005187268,0.0000106285],"category_scores_gemma":[0.000006843278,0.00007718546,0.00003917062,0.0001453241,0.00006654196,0.000054473,0.0000697479,0.00007566174,3.763202e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000151313,"about_ca_system_score_gemma":0.000004033825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001880892,"about_ca_topic_score_gemma":0.000002146156,"domain_scores_codex":[0.9992703,0.00001408852,0.0005190193,0.00008335634,0.00003555586,0.00007764364],"domain_scores_gemma":[0.9996518,0.00002859194,0.0001635632,0.0001079419,0.00002767333,0.00002041673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009906015,0.0006760139,0.06634353,0.004595592,0.004550042,0.0001089496,0.001100109,0.001171816,0.001481686,0.2744826,0.001570775,0.6438198],"study_design_scores_gemma":[0.009414754,0.009620292,0.361865,0.001532586,0.003351871,0.0003176066,0.01969788,0.2920107,0.02082609,0.05390706,0.2255944,0.001861797],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844061,0.001238784,0.01278576,0.0002445143,0.0002996111,0.0001631033,0.00000447932,0.00002532964,0.0008323351],"genre_scores_gemma":[0.9908583,0.003915438,0.005177567,0.000005297701,0.00001004374,0.000001886139,5.8699e-7,0.0000104461,0.00002046226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.641958,"threshold_uncertainty_score":0.3147532,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4410460961","doi":"10.69803/3083-6034-2025-1-212","title":"Combating shadow processes in the agricultural sector: the role of state regulation.","year":2025,"lang":"en","type":"article","venue":"Journal of management economics and technology","topic":"Land Rights and Reforms","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":"Shadow (psychology); Agriculture; State (computer science); Business; Natural resource economics; Political science; Economic system; Economics; Geography; Computer science; Psychology","authors":[{"name":"Maksym Zelenskyi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004505563120866051,"gpt":0.1701133152581285,"spread":0.1656077521372624,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000221589,0.00004430319,0.00009787555,0.00003253042,0.00008273186,0.0000272351,0.0002211645,0.00003205995,0.000004562463],"category_scores_gemma":[0.000005034195,0.000006860016,0.00002197143,0.0002120539,0.00005400088,0.00005261162,0.00005265753,0.0000750781,1.642562e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007956553,"about_ca_system_score_gemma":0.000003578332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000145375,"about_ca_topic_score_gemma":0.0003655762,"domain_scores_codex":[0.999622,0.00001074209,0.000216915,0.00005206509,0.00002801874,0.00007018675],"domain_scores_gemma":[0.9997047,0.00004373323,0.0001846681,0.00002636882,0.00003498873,0.000005576988],"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":[0.00003969688,0.000168663,0.0389819,0.00007015168,0.0001907385,0.00000387492,0.0004557994,0.0002268774,0.001422712,0.2159585,0.0004010235,0.7420801],"study_design_scores_gemma":[0.0005144185,0.0002973306,0.3614292,0.0001044971,0.00004421587,0.00003595527,0.01317771,0.0002987804,0.001929887,0.3619926,0.2600469,0.0001285389],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830559,0.0004371998,0.000001248305,0.01430227,0.00003876459,0.00009463396,0.000001622271,0.000003010124,0.002065326],"genre_scores_gemma":[0.997841,0.001835546,0.00003066146,0.00006218014,0.000019969,0.000001961868,8.504898e-7,1.788867e-7,0.0002076502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7419515,"threshold_uncertainty_score":0.06363149,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}