{"id":"W4391552342","doi":"10.20542/reb.rus-2023-4-16-20","title":"The grouping of industrial enterprises by capacity utilization rate and level of debts to banks (I Quarter of 2023)","year":2023,"lang":"en","type":"article","venue":"Russian Economic Barometer","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Business; Debt; Agricultural economics; Economics; Finance; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005236484,0.0001878023,0.0002243843,0.002390078,0.0002389054,0.000746424,0.0002561009,0.0002391461,0.002756445],"category_scores_gemma":[0.001331052,0.00008851106,0.0003492401,0.001733568,0.0002218422,0.0003664404,0.0008470954,0.0003026443,0.0008979821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048061,"about_ca_system_score_gemma":0.0006403872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01052865,"about_ca_topic_score_gemma":0.00706301,"domain_scores_codex":[0.9996972,0.00003390312,0.00003205521,0.00004195726,0.00005907676,0.0001358412],"domain_scores_gemma":[0.99884,0.0001401544,0.0005653173,0.00006954802,0.0001940944,0.0001908095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003782377,0.00008753027,0.9647524,0.00008551878,0.00008492402,0.0001658127,0.001058256,0.001237943,0.00131115,0.003054269,0.008592439,0.01919149],"study_design_scores_gemma":[0.000005570657,0.00006358824,0.9917017,0.0000177794,0.000007375742,0.0001059196,0.0009062297,0.000534803,0.0002003464,0.0002085054,0.006241939,0.000006283984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764738,0.0003539966,0.000343092,0.0001309885,0.00002842665,0.00003355963,0.01234478,0.00004365041,0.01024767],"genre_scores_gemma":[0.9783251,0.0002418631,0.0003224261,0.00003295154,0.00001852134,0.00004711091,0.01829434,0.00001152262,0.002706204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01052865,"threshold_uncertainty_score":0.02093476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1622502231840914,"score_gpt":0.2645893493342196,"score_spread":0.1023391261501282,"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."}}