{"id":"W4408920144","doi":"10.26906/eir.2020.1(76).1915","title":"National industry building as the basis for satisfaction ukrainian population’s vital interests.","year":2020,"lang":"en","type":"article","venue":"ЕКОНОМІКА І РЕГІОН Науковий вісник","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ukrainian; Population; Business; Political science; Sociology; Demography","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":[0.0005939269,0.0001021402,0.0001130975,0.001258253,0.0004131221,0.001370079,0.0002052586,0.0002085798,0.00297178],"category_scores_gemma":[0.00170449,0.00005876035,0.0002218515,0.001246569,0.0005062982,0.0005829312,0.000877131,0.0003875371,0.0002368773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193109,"about_ca_system_score_gemma":0.001686103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01268651,"about_ca_topic_score_gemma":0.01753784,"domain_scores_codex":[0.9996353,0.0001008515,0.00002932178,0.00004911579,0.0001144501,0.00007099292],"domain_scores_gemma":[0.9994146,0.0001260603,0.0001928491,0.00002136864,0.0001585042,0.00008662699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007337447,0.00009266516,0.8302445,0.0001845642,0.00008594533,0.0007067176,0.004347646,0.003749342,0.0007890492,0.07625835,0.007822264,0.07564554],"study_design_scores_gemma":[0.000002726168,0.00006356962,0.9457658,0.00009777585,0.0000438777,0.0003512049,0.008170503,0.004935504,0.0006963181,0.009801851,0.03005573,0.00001515378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167284,0.002474549,0.004308432,0.004093473,0.00008159788,0.00003818723,0.001249381,0.00002910927,0.07099688],"genre_scores_gemma":[0.9963967,0.0002855629,0.0004213456,0.00004878752,0.00001160629,0.000006795161,0.0002349877,0.00000243866,0.002591658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01268651,"threshold_uncertainty_score":0.02522534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07367426617136173,"score_gpt":0.2868772997793826,"score_spread":0.2132030336080208,"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."}}