{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003750174,0.0002713682,0.0002220191,0.00328811,0.000432533,0.00112329,0.0003307018,0.0001909016,0.003194708],"category_scores_gemma":[0.002205283,0.00007189385,0.0002758529,0.005617903,0.0008057354,0.0006169489,0.001044537,0.0002665315,0.0003131256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001573506,"about_ca_system_score_gemma":0.00101269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.168892,"about_ca_topic_score_gemma":0.3378302,"domain_scores_codex":[0.9995064,0.00007940462,0.00004132513,0.00004848559,0.0002555533,0.00006877994],"domain_scores_gemma":[0.9990053,0.0001239834,0.0003186157,0.00006095368,0.0003329992,0.0001582264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004512577,0.0000313308,0.9722807,0.00009117047,0.00006696275,0.00006701391,0.0004883537,0.001272489,0.0003048348,0.001573189,0.0005778164,0.02320102],"study_design_scores_gemma":[0.000001015625,0.00001949581,0.9961047,0.00001532079,0.000008689183,0.00005840219,0.0006450527,0.0007703618,0.00009472572,0.0003279822,0.001948513,0.000005851472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965525,0.0006920177,0.003378093,0.0001849625,0.00001225218,0.00007170923,0.005128766,0.00006094688,0.02494626],"genre_scores_gemma":[0.9957066,0.0001748183,0.001085516,0.000006728063,0.000005356815,0.00001350926,0.001693727,0.000004926545,0.001308722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168892,"threshold_uncertainty_score":0.3358178,"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."}}