{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007322188,0.00008368611,0.0002396508,0.00008816822,0.00002581246,0.000008521469,0.0002670152,0.00004703441,0.000006819959],"category_scores_gemma":[0.00003016767,0.00007930023,0.00003298399,0.0004234019,0.00006607542,0.00004968492,0.0001398982,0.00007268431,0.000001733686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001683484,"about_ca_system_score_gemma":0.000008933685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008458212,"about_ca_topic_score_gemma":0.00005321717,"domain_scores_codex":[0.9994658,0.000007432379,0.0002094437,0.0001699087,0.00006175165,0.00008561842],"domain_scores_gemma":[0.9993492,0.00003800627,0.00003465701,0.0005027964,0.00005749708,0.00001785406],"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":[0.00001337246,0.0004127667,0.071082,0.05225598,0.002148571,0.000006988919,0.0001415049,0.001126094,0.08891047,0.004955545,0.1471491,0.6317976],"study_design_scores_gemma":[0.0007068521,0.00003047855,0.007056529,0.004051561,0.0011932,0.000002450771,0.0004731953,0.2704163,0.009556709,0.001039861,0.7048488,0.0006241184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01075441,0.2137868,0.7717648,0.000671931,0.00004507531,0.0008490671,0.0004040804,0.0007686082,0.000955286],"genre_scores_gemma":[0.7802863,0.1117901,0.1065478,0.0004967201,0.00003494664,0.0001495319,0.0002689074,0.0000354617,0.0003901992],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7695319,"threshold_uncertainty_score":0.323377,"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."}}