{"id":"W4395055419","doi":"10.2139/ssrn.4802821","title":"Highway Recovery Times from Disruptions by Natural Hazard Events","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Natural (archaeology); Hazard; Natural hazard; Environmental science; Computer science; Forensic engineering; Engineering; History; Geography; Meteorology; Biology; Ecology; Archaeology","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":[0.000699051,0.0001722898,0.0002679752,0.0007348781,0.0005391614,0.0005399925,0.0002837026,0.0006071635,0.006484847],"category_scores_gemma":[0.006609104,0.0001378924,0.0002918129,0.0005903105,0.0003444968,0.001058403,0.0007357064,0.000845743,0.0004363319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006124889,"about_ca_system_score_gemma":0.0005407811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006294583,"about_ca_topic_score_gemma":0.008067038,"domain_scores_codex":[0.999686,0.00004801396,0.00001794411,0.00004031034,0.00008082511,0.0001268739],"domain_scores_gemma":[0.9975464,0.001168246,0.000481811,0.0001444441,0.0003536794,0.000305372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.008889552,0.0006383145,0.2279975,0.0003605208,0.0005312699,0.003471146,0.001208897,0.6229928,0.01584318,0.03346321,0.01473303,0.06987067],"study_design_scores_gemma":[0.0001618857,0.002364891,0.4551623,0.0001332372,0.0004640795,0.002297224,0.005819296,0.4809774,0.0158038,0.02843272,0.008206382,0.0001767067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926922,0.000122075,0.002272988,0.0002820563,0.00002042687,0.0000213076,0.0008492228,0.0000763805,0.003663313],"genre_scores_gemma":[0.9988332,0.00002560904,0.000143906,0.000009310516,0.000003282129,0.000005275981,0.0003428716,0.000007530227,0.0006289213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006484847,"threshold_uncertainty_score":0.02169394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002400512419731341,"score_gpt":0.2112364918450178,"score_spread":0.2088359794252865,"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."}}