{"id":"W3045734182","doi":"10.1016/j.trip.2020.100171","title":"Vulnerability assessment of Alberta's provincial highway network","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Vulnerability (computing); Emergency management; Interim; Vulnerability assessment; Population; Environmental planning; Business; Transport engineering; Geography; Environmental resource management; Engineering; Computer security; Computer science; Environmental science; Economic growth","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":[0.0005529349,0.000361158,0.0001530592,0.003466247,0.00155591,0.001513378,0.0006795187,0.0002943195,0.001408749],"category_scores_gemma":[0.002179439,0.0001179955,0.0002441118,0.003791919,0.0005599548,0.0004352089,0.001070165,0.0002392941,0.0001000241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01505223,"about_ca_system_score_gemma":0.007917225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.916265,"about_ca_topic_score_gemma":0.9428331,"domain_scores_codex":[0.9995136,0.00007198415,0.00001092086,0.00003551585,0.0002078739,0.000159964],"domain_scores_gemma":[0.9990503,0.0001791653,0.000103173,0.00004611468,0.0005031837,0.0001180321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002483354,0.00009407321,0.6190773,0.0001101988,0.0001420496,0.001188008,0.002978573,0.2858694,0.001812086,0.02171549,0.009507553,0.05725686],"study_design_scores_gemma":[0.00001491275,0.00007953888,0.5752738,0.00008723157,0.00007899007,0.0004086721,0.01566233,0.3876938,0.001116547,0.007802516,0.01172269,0.00005889552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733037,0.0001623862,0.002933417,0.0002791194,0.000009214335,0.0001077579,0.001887906,0.00005767622,0.02125878],"genre_scores_gemma":[0.9950055,0.0001371325,0.001428768,0.00001279339,0.000002343706,0.00001917885,0.001055331,0.000005357492,0.002333536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08373499,"threshold_uncertainty_score":0.1684562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920508802231323,"score_gpt":0.3633534117646441,"score_spread":0.3341483237423309,"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."}}