{"id":"W3201423109","doi":"","title":"СИСТЕМА ІНДИКАТОРІВ УМОВ ПРОЖИВАННЯ НАСЕЛЕННЯ НА МІСЦЕВОМУ РІВНІ: ПРИНЦИПИ ФОРМУВАННЯ ТА ВИКОРИСТАННЯ","year":2021,"lang":"uk","type":"article","venue":"Demography and social economy","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Novelty; Component (thermodynamics); Quality of life (healthcare); Relevance (law); Business; Computer science; Geography; Psychology; Political science; Social psychology; Environmental health; Medicine","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":[0.002084971,0.0004378608,0.0003985226,0.002012108,0.00178104,0.006459626,0.0007906081,0.001198237,0.02567579],"category_scores_gemma":[0.004837805,0.0005309843,0.0004303558,0.002457039,0.002881247,0.002697855,0.001856243,0.001782864,0.009713249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001937353,"about_ca_system_score_gemma":0.003797236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004480763,"about_ca_topic_score_gemma":0.004273335,"domain_scores_codex":[0.9975848,0.0005085283,0.0001538332,0.0004286247,0.001108146,0.0002159749],"domain_scores_gemma":[0.9978747,0.0007238126,0.0002559782,0.0003771219,0.0005802143,0.0001880702],"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":[0.0000843947,0.00007167876,0.001577619,0.0004062342,0.00001957504,0.0008315009,0.003480266,0.001086349,0.004769437,0.6434859,0.01889504,0.3252919],"study_design_scores_gemma":[0.00002331948,0.00007620815,0.003325223,0.000264399,0.00003524217,0.001401793,0.001559691,0.001219459,0.004109493,0.1442133,0.8437051,0.0000669267],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04442187,0.02348716,0.2205397,0.00882039,0.002780702,0.0004951663,0.0008696522,0.0005973222,0.697988],"genre_scores_gemma":[0.5698403,0.02651071,0.2087153,0.0007971366,0.001050888,0.0008250174,0.0005804014,0.0005388837,0.1911414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02567579,"threshold_uncertainty_score":0.08589411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173396359187247,"score_gpt":0.2020523069010635,"score_spread":0.1847126709823388,"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."}}