{"id":"W4306929863","doi":"10.3390/su142013514","title":"Urban Resilience: A Study of Leftover Spaces and Play in Dense City Fabric","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Everyday life; Ethnography; Scale (ratio); Architectural engineering; Variety (cybernetics); Geography; Urban design; Environmental planning; Urban landscape; Discipline; Psychological resilience; Urban planning; Sociology; Civil engineering; Political science; Computer science; Engineering; Social science; Cartography; Psychology; Artificial intelligence; Social psychology","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":[0.0004874828,0.0000987478,0.0002254293,0.0001502916,0.00007637855,0.00001292313,0.0001165218,0.00002341303,0.00008883776],"category_scores_gemma":[0.0001755947,0.00009980638,0.00003522922,0.0005788829,0.00005473752,0.00006758067,0.0001160992,0.0001797868,2.006227e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175708,"about_ca_system_score_gemma":0.00006263528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002405154,"about_ca_topic_score_gemma":0.001127329,"domain_scores_codex":[0.9990001,0.0001616894,0.0002274825,0.0002115213,0.0002103546,0.0001888239],"domain_scores_gemma":[0.999525,0.00007872199,0.00002814891,0.000254331,0.00006964162,0.00004421189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004302357,0.000287039,0.9675642,0.00007590289,0.00002327852,0.00002647525,0.01015211,0.02048907,0.00006048315,0.00004746771,0.000481404,0.0007495164],"study_design_scores_gemma":[0.0005574303,0.0003045399,0.9586415,0.000001674583,0.00003009185,0.000001492237,0.02174685,0.01688909,0.00006368748,0.001173848,0.0004225795,0.0001672617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990571,0.0001992692,0.0001218721,0.00004092289,0.00002642791,0.000364396,0.000004317114,0.0000413833,0.0001443801],"genre_scores_gemma":[0.9995865,0.000002499649,0.00001169018,0.00000491727,0.000007390772,0.00004463298,8.75428e-7,0.000007405455,0.0003341268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01159474,"threshold_uncertainty_score":0.4069986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005787318495993262,"score_gpt":0.2142186329304703,"score_spread":0.208431314434477,"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."}}