{"id":"W6909883370","doi":"10.3785/j.issn.1008-9497.2025.04.010","title":"Research progress of the urban built environment walkability: Using Citespace knowledge mapping analysis(城市建成环境步行性研究进展——基于Citespace知识图谱的分析)","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Walkability; Built environment; Context (archaeology); Pedestrian; Urban planning; Disadvantaged; Urban design","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009076164,0.0005607992,0.0007514001,0.04915148,0.001258048,0.009858101,0.0007228808,0.0008829816,0.00335605],"category_scores_gemma":[0.0209179,0.0002078617,0.001109556,0.06148707,0.001862192,0.009861512,0.002553902,0.0006255514,0.0005662822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932932,"about_ca_system_score_gemma":0.003411644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005227388,"about_ca_topic_score_gemma":0.006206393,"domain_scores_codex":[0.9944155,0.001360291,0.0006835015,0.0008774299,0.002448262,0.000214897],"domain_scores_gemma":[0.9677168,0.01739774,0.00548713,0.002375511,0.006329848,0.000693012],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001395542,0.0001210892,0.2519375,0.01328815,0.00118124,0.0008127292,0.0246087,0.003515716,0.003575551,0.06081757,0.008453178,0.631549],"study_design_scores_gemma":[0.00003557393,0.0003141338,0.5735441,0.009094454,0.00256335,0.002306343,0.07261852,0.01382215,0.01178125,0.07140727,0.2421385,0.0003742893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6563495,0.1113318,0.0651206,0.008252719,0.001169219,0.0003877822,0.01142085,0.0006893209,0.1452781],"genre_scores_gemma":[0.9600822,0.01968372,0.01491424,0.0002179863,0.0003450895,0.00009508471,0.002010288,0.00006595792,0.002585399],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9909238,"threshold_uncertainty_score":0.04799992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3814937258853373,"score_gpt":0.6096642000914894,"score_spread":0.2281704742061521,"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."}}