{"id":"W2906839830","doi":"10.2495/sdp-v13-n8-1061-1071","title":"An approach to resilience in transportation planning","year":2018,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Foundation","keywords":"Resilience (materials science); Environmental planning; Transportation planning; Computer science; Transport engineering; Environmental resource management; Engineering; Business; Environmental science; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00172222,0.001327049,0.0006170921,0.002171039,0.00203713,0.002934931,0.002284364,0.002104443,0.01170094],"category_scores_gemma":[0.004520297,0.000548319,0.001843966,0.002768651,0.005540096,0.005040837,0.003381189,0.003966872,0.00096456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00482146,"about_ca_system_score_gemma":0.002360358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01083731,"about_ca_topic_score_gemma":0.008719628,"domain_scores_codex":[0.9988109,0.000624751,0.00004902827,0.0002001741,0.0002082677,0.0001069377],"domain_scores_gemma":[0.9982032,0.001106104,0.0002001157,0.0001637581,0.0001956634,0.0001311342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004813568,0.00000755503,0.0001262122,0.00003672708,0.00001386957,0.00006038243,0.000118934,0.03399048,0.00005260786,0.9579431,0.001971842,0.005673532],"study_design_scores_gemma":[0.000003780842,0.00001251278,0.0001067339,0.00005543025,0.000009266196,0.00003973093,0.0001410088,0.04411298,0.00005402618,0.9357154,0.01973957,0.000009610916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005162621,0.005350474,0.857928,0.01841296,0.0009772289,0.00008587496,0.0003518804,0.0001716761,0.1115593],"genre_scores_gemma":[0.6256067,0.01196089,0.2934381,0.002580484,0.002646423,0.0005704347,0.0003714784,0.0002384263,0.06258701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01170094,"threshold_uncertainty_score":0.0391435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008921088299456217,"score_gpt":0.2585955610285671,"score_spread":0.2496744727291109,"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."}}