{"id":"W4415924101","doi":"10.3390/buildings15213987","title":"Multi-Scale Street Vitality Analytics: A Comprehensive Review of Technologies, Data, and Applications","year":2025,"lang":"en","type":"article","venue":"Buildings","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vitality; Urban planning; Macro; Urban studies; Attractiveness; Government (linguistics); Big data; Built environment; Space (punctuation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004515347,0.001191055,0.001884604,0.01219997,0.0005837826,0.003449221,0.001634444,0.001481054,0.003510149],"category_scores_gemma":[0.01372439,0.0008123484,0.002061861,0.01548618,0.0009281483,0.004755476,0.001610017,0.00140244,0.0009481713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457562,"about_ca_system_score_gemma":0.00669087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006572034,"about_ca_topic_score_gemma":0.01283263,"domain_scores_codex":[0.9976826,0.0007437775,0.0004917565,0.0002809484,0.0007019454,0.00009898617],"domain_scores_gemma":[0.9814898,0.01464699,0.001129759,0.0003312594,0.002210444,0.000191753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004754493,0.00006799244,0.001939789,0.1657059,0.0005369642,0.0001905741,0.0009091147,0.002136939,0.0007636034,0.01484658,0.03518067,0.7776743],"study_design_scores_gemma":[0.00001295999,0.0001244112,0.004972537,0.1097442,0.001146075,0.0004994113,0.001035847,0.001209062,0.0005322856,0.009730486,0.8708896,0.0001030588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004157226,0.9951829,0.001588208,0.0009352136,0.0001717527,0.00003660256,0.0002733095,0.00003348046,0.001362702],"genre_scores_gemma":[0.003245352,0.9934239,0.0022903,0.000375407,0.0001326119,0.00005377247,0.0002953988,0.0000148881,0.0001682769],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01219997,"threshold_uncertainty_score":0.02387977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399821574198429,"score_gpt":0.2700915133043854,"score_spread":0.2460932975624011,"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."}}