{"id":"W205893308","doi":"","title":"Composite Index for Quality of Life in Italian Cities: An Application to URBES Indicators","year":2014,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Ranking (information retrieval); Context (archaeology); Index (typography); Composite indicator; Dashboard; Quality (philosophy); Geography; Regional science; Business; Econometrics; Computer science; Economics; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001978649,0.0004910509,0.0004361477,0.006144157,0.0003402684,0.001386082,0.0003912472,0.0003567517,0.002768014],"category_scores_gemma":[0.005365462,0.000105638,0.0006392977,0.01132468,0.0003851441,0.0005236818,0.0009167909,0.0005260324,0.0004723289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001950646,"about_ca_system_score_gemma":0.000765121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01666642,"about_ca_topic_score_gemma":0.01464766,"domain_scores_codex":[0.9988753,0.00050306,0.00007044753,0.0001091025,0.0003604481,0.00008152799],"domain_scores_gemma":[0.9979618,0.0006729226,0.0004261357,0.0001777356,0.0006362183,0.0001251653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005978384,0.000318191,0.7044504,0.0008440207,0.0004349416,0.0003640556,0.002444279,0.01844777,0.0006193787,0.03670442,0.03821913,0.1965555],"study_design_scores_gemma":[0.00003514744,0.0002252275,0.9424199,0.0001563977,0.0001086776,0.0001574137,0.001675535,0.01736557,0.0003070072,0.006587105,0.03091868,0.00004332516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8372924,0.007579311,0.04260336,0.002369106,0.0004203272,0.0005280313,0.02771748,0.0003841009,0.08110585],"genre_scores_gemma":[0.9700139,0.001309779,0.01659972,0.00006945345,0.0001366328,0.000469573,0.009144459,0.00003363761,0.002222802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666642,"threshold_uncertainty_score":0.03313881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337564885605897,"score_gpt":0.2767220113102163,"score_spread":0.2429655227496266,"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."}}