{"id":"W2963055462","doi":"10.1080/13549839.2019.1645103","title":"Social equity in urban resilience planning","year":2019,"lang":"en","type":"article","venue":"Local Environment","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":433,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Equity (law); Politics; Urban resilience; Sociology; Political science; Psychological resilience; Public relations; Public economics; Urban planning; Economics; Social psychology; Psychology; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005584104,0.0002835266,0.0002532264,0.001831585,0.003682954,0.004417038,0.0008263395,0.0007574008,0.004461275],"category_scores_gemma":[0.006845019,0.0001889309,0.0003019641,0.002823683,0.01378968,0.004829928,0.007285701,0.00194209,0.0001323757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009081853,"about_ca_system_score_gemma":0.008669734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02789828,"about_ca_topic_score_gemma":0.04591474,"domain_scores_codex":[0.9955155,0.00284844,0.00007954869,0.0002025354,0.000323638,0.001030393],"domain_scores_gemma":[0.9977134,0.001130767,0.0002545164,0.0001944855,0.0002921369,0.0004146705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001540996,0.00002687547,0.01236737,0.00006134982,0.00001683221,0.0001005432,0.009810759,0.006445765,0.00006482466,0.9301499,0.002106792,0.03883362],"study_design_scores_gemma":[0.0000107675,0.00006334794,0.02883674,0.000452403,0.00002492096,0.00007281428,0.04068285,0.004734891,0.0003280623,0.8565862,0.06817088,0.00003629961],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4453506,0.007172795,0.07522878,0.07275509,0.0002423057,0.0003247319,0.0002990128,0.00008622443,0.3985405],"genre_scores_gemma":[0.9956873,0.0004809553,0.001814038,0.0003314861,0.00002394376,0.00003855166,0.0000249911,0.000007671218,0.00159099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02789828,"threshold_uncertainty_score":0.06589377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408582860643063,"score_gpt":0.320911883867768,"score_spread":0.2968260552613374,"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."}}