{"id":"W7117254163","doi":"10.1186/s42854-025-00088-4","title":"Experimenting with urban stressors: a network-based approach to systemic resilience through the URSA framework","year":2025,"lang":"en","type":"article","venue":"Urban Transformations","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Canada West","funders":"","keywords":"Interdependence; Resilience (materials science); Urban resilience; Sustainability; Emulation; Action (physics); Sociocultural evolution; Shock (circulatory); Component (thermodynamics); Psychological resilience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002760306,0.0007283075,0.0005830347,0.001278249,0.001078269,0.00195444,0.001899771,0.00146496,0.004968007],"category_scores_gemma":[0.007417253,0.0004831791,0.001136665,0.0008589902,0.003316852,0.003558261,0.003825423,0.001822298,0.0002547491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763813,"about_ca_system_score_gemma":0.001610182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006664526,"about_ca_topic_score_gemma":0.008160976,"domain_scores_codex":[0.998505,0.001049658,0.00003253644,0.0002405604,0.00009589476,0.00007638307],"domain_scores_gemma":[0.9967764,0.001960951,0.0003858375,0.0004762474,0.0001523952,0.000248164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003939884,0.00008639912,0.003960543,0.00006432656,0.00008295486,0.0001547308,0.0005656698,0.6381552,0.0007614181,0.3470147,0.000724423,0.008390358],"study_design_scores_gemma":[0.00001542795,0.00006434034,0.0006089724,0.00002367588,0.00002257174,0.00003772585,0.0003076416,0.8058621,0.0001786228,0.1904732,0.002386204,0.00001943932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0749323,0.0001866131,0.9032289,0.002270679,0.00007186231,0.0001522958,0.0003725742,0.0003194,0.01846543],"genre_scores_gemma":[0.8132896,0.0002652988,0.1821305,0.000213062,0.00004372589,0.000479164,0.0001886171,0.00007050984,0.003319389],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006664526,"threshold_uncertainty_score":0.01661968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005755266785305533,"score_gpt":0.2220741654726788,"score_spread":0.2163188986873733,"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."}}