{"id":"W3135713958","doi":"10.5334/bc.82","title":"Urban form and livability: socioeconomic and built environment indicators","year":2021,"lang":"en","type":"article","venue":"Buildings and Cities","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Vitality; Geography; Centrality; Diversity (politics); Urban morphology; Economic geography; Built environment; Urban density; Population; Socioeconomics; Urban planning; Sociology; Demography; Civil engineering; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005721485,0.00009990313,0.0001562556,0.00005031603,0.00007557125,0.00007122191,0.00002616562,0.00005022203,0.000115405],"category_scores_gemma":[0.000003940542,0.00009861017,0.00002666199,0.00002351979,0.0001000069,0.00007909324,0.00004554598,0.00006062462,0.000002183706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000228662,"about_ca_system_score_gemma":0.000005040738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000456584,"about_ca_topic_score_gemma":0.00001722906,"domain_scores_codex":[0.9995643,0.000006189802,0.0001119574,0.0001524145,0.00004367328,0.0001215017],"domain_scores_gemma":[0.9998063,0.00002873862,0.00001547304,0.00007630786,0.000003117274,0.00007008344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001635337,0.00005414462,0.7933954,0.0006174863,0.0007112901,0.00002509846,0.01351795,0.0001158769,0.01284683,0.01251832,0.01053096,0.1556503],"study_design_scores_gemma":[0.002365764,0.0003149396,0.560268,0.000139642,0.0007527439,0.0001139954,0.01143361,0.02495804,0.03194692,0.02759461,0.3375971,0.002514656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992356,0.006595564,0.0003052331,0.0001393432,0.00002210451,0.0000336917,0.000007599468,0.00003691023,0.0005035442],"genre_scores_gemma":[0.9962252,0.002834559,0.0003207486,0.00006528504,0.00004010313,0.000006867774,0.000002928172,0.00001125275,0.0004930298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3270662,"threshold_uncertainty_score":0.4021206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005004745659256075,"score_gpt":0.162378343401605,"score_spread":0.157373597742349,"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."}}