{"id":"W2612091525","doi":"10.1016/j.cities.2017.04.006","title":"The relationship between satisfaction towards neighbourhood facilities and social trust in urban villages in Kuala Lumpur","year":2017,"lang":"en","type":"article","venue":"Cities","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Residence; Perception; Neglect; Cohesion (chemistry); Economic growth; Structural equation modeling; Business; Socioeconomics; Geography; Sociology; Psychology; Economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006749959,0.00009002034,0.0001545375,0.00006222506,0.002927922,0.0003353858,0.0001541847,0.00006585038,0.00001692504],"category_scores_gemma":[0.0006104001,0.00007555778,0.00002947685,0.00005082768,0.0008352632,0.00040562,0.00006865344,0.000149695,0.000005070268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001049769,"about_ca_system_score_gemma":0.00006471542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009042856,"about_ca_topic_score_gemma":0.05055906,"domain_scores_codex":[0.9990888,0.0001487348,0.000164148,0.0001304676,0.000209021,0.0002588342],"domain_scores_gemma":[0.9992468,0.0005188006,0.00008938505,0.00009923958,0.00002268811,0.00002312876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005743051,0.000001980894,0.9128026,0.000007621038,0.000006367468,8.333634e-7,0.04714087,8.863582e-8,5.282509e-7,0.03592702,0.0007516529,0.003354737],"study_design_scores_gemma":[0.0002020219,0.000008794552,0.9063356,0.00001311,0.000005097966,7.401242e-8,0.07643228,9.696447e-7,0.00000268097,0.0105747,0.006338112,0.00008658433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513509,0.0005619195,0.000001205186,0.005377145,0.0001642984,0.0001286018,0.00001987072,0.00002493052,0.04237113],"genre_scores_gemma":[0.9903378,0.0001934856,0.000004495005,0.00001558511,0.0002617932,0.00002232635,0.000002207988,0.000004278748,0.009157967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0415162,"threshold_uncertainty_score":0.9983701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07708392601562634,"score_gpt":0.3452940998455453,"score_spread":0.268210173829919,"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."}}