{"id":"W7112325812","doi":"","title":"A Study of Outdoor Spatial Configuration for Making A Neighborhood Aging Friendly","year":2022,"lang":"zh","type":"dissertation","venue":"","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life expectancy; Population ageing; Quarter (Canadian coin); Population; Older people; Public health; Elderly people; Global population","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":[],"consensus_categories":[],"category_scores_codex":[0.001293767,0.0002791806,0.0002141142,0.00109366,0.004805699,0.004340764,0.000897938,0.0007841535,0.01000417],"category_scores_gemma":[0.003289665,0.0001906797,0.0004619241,0.001712798,0.003307733,0.003446251,0.001771423,0.0008106886,0.0004750924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00441014,"about_ca_system_score_gemma":0.004319566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06392597,"about_ca_topic_score_gemma":0.1021103,"domain_scores_codex":[0.999068,0.0003827693,0.00004145563,0.000167389,0.0001754343,0.0001649677],"domain_scores_gemma":[0.9987383,0.0003186564,0.0002226388,0.00007357634,0.0003540034,0.0002927886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001505443,0.0004874617,0.2607042,0.0003273598,0.0001312119,0.0008617256,0.2297968,0.002475569,0.001235599,0.4020191,0.01499799,0.08681249],"study_design_scores_gemma":[0.00004455876,0.0002799163,0.2201672,0.0003389758,0.0002076672,0.0002658324,0.5845856,0.002500703,0.001095841,0.04781376,0.142621,0.00007905037],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799684,0.0005260046,0.005219548,0.004770102,0.0001415475,0.00009723187,0.0001880815,0.00004559374,0.2090435],"genre_scores_gemma":[0.9914038,0.0001951822,0.001477889,0.0001753857,0.00001270803,0.00003366878,0.00004133786,0.000008802338,0.006651087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06392597,"threshold_uncertainty_score":0.1271078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265850810138412,"score_gpt":0.3513820091732848,"score_spread":0.3247969281594436,"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."}}