{"id":"W4405303749","doi":"10.25683/volbi.2020.50.134","title":"ПЕРСПЕКТИВЫ ИННОВАЦИОННОГО РАЗВИТИЯ ЭКОНОМИКИ РОССИИ И БЕЛОРУССИИ","year":2020,"lang":"ru","type":"article","venue":"Бизнес, образование, право","topic":"Digital Economy and Transformation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006318495,0.001239371,0.001219298,0.000495092,0.0007926321,0.002925728,0.00138183,0.0005879553,0.008020367],"category_scores_gemma":[0.000294141,0.001329476,0.0007635792,0.001744362,0.0003177207,0.009690712,0.0005902309,0.001008976,0.03646071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001512061,"about_ca_system_score_gemma":0.000193162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000469084,"about_ca_topic_score_gemma":0.0001862174,"domain_scores_codex":[0.9941981,0.00005579245,0.00177874,0.00142046,0.0009060784,0.001640797],"domain_scores_gemma":[0.9974163,0.0001521239,0.0008554843,0.000858628,0.0004042082,0.000313243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002021543,0.002385191,0.03249517,0.01140657,0.001859441,0.0006144201,0.004055278,0.001347832,0.001270175,0.170521,0.3155496,0.4564738],"study_design_scores_gemma":[0.003497991,0.0001897277,0.006794127,0.0004367183,0.0005095976,0.00001471196,0.001579576,0.01041636,0.0007997144,0.004154192,0.9695397,0.002067585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1363965,0.002300238,0.003714839,0.03505702,0.004244066,0.00221016,0.0002480454,0.001423182,0.8144059],"genre_scores_gemma":[0.9691827,0.0003002416,0.0001832005,0.02040529,0.00563435,0.00007567531,0.0006388836,0.0002185413,0.00336108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8327862,"threshold_uncertainty_score":0.9989155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032197920368573,"score_gpt":0.1738900457582927,"score_spread":0.153568066554607,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}