{"id":"W4415994804","doi":"10.1061/jitse4.iseng-2754","title":"Probabilistic Modeling to Develop the Optimal Seismic Resilience Enhancement Strategy for Industrial Facilities","year":2025,"lang":"en","type":"article","venue":"Journal of Infrastructure Systems","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Probabilistic logic; Interdependence; Component (thermodynamics); Resilience (materials science); Oil refinery; Downstream (manufacturing); Critical infrastructure; Investment (military)","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":[0.001066882,0.001002366,0.0009738337,0.001167058,0.0004260476,0.000959773,0.001300485,0.001041721,0.003846987],"category_scores_gemma":[0.00222023,0.0007917846,0.001011715,0.0009847085,0.0006012514,0.001121021,0.0008881937,0.0008578562,0.0002668198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936214,"about_ca_system_score_gemma":0.002603416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01580337,"about_ca_topic_score_gemma":0.01459461,"domain_scores_codex":[0.9995933,0.0001590511,0.00001383983,0.00004923687,0.00009591015,0.00008863821],"domain_scores_gemma":[0.9992199,0.0004673301,0.0001315246,0.00002359795,0.000115549,0.00004215899],"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":[0.000003139738,0.000003704331,0.0001062524,0.000004493274,0.000004158152,0.00000805421,0.000002825814,0.9962214,0.0000595685,0.002819788,0.00005348854,0.0007129912],"study_design_scores_gemma":[0.000001915236,0.000006662579,0.00006563713,0.000002233448,0.000003808132,0.000004310354,0.000006350485,0.9980286,0.00003521971,0.001707162,0.0001358227,0.000002288419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06132264,0.000341866,0.9228271,0.0004864108,0.0000361529,0.0001293007,0.0003100754,0.0001899289,0.01435652],"genre_scores_gemma":[0.9401296,0.0005608768,0.05469143,0.00005855065,0.00003116548,0.0002339485,0.0001875247,0.00005718712,0.004049766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01580337,"threshold_uncertainty_score":0.03142273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189960183990409,"score_gpt":0.2581334774623677,"score_spread":0.2391374590633268,"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."}}