{"id":"W4362736902","doi":"10.1016/j.aei.2023.101958","title":"Incorporation of BIM-based probabilistic non-structural damage assessment into agent-based post-earthquake evacuation simulation","year":2023,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Probabilistic logic; Computer science; Process (computing); Building information modeling; Built environment; Construction engineering; Engineering; Civil engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002221672,0.0002278992,0.0002160099,0.0003892627,0.00006117688,0.00004218264,0.0001303154,0.0001024842,0.00001184551],"category_scores_gemma":[0.0001170982,0.00024942,0.00006754693,0.0007384677,0.00002135501,0.0005565598,0.00001869114,0.0001682243,0.00002726312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002113508,"about_ca_system_score_gemma":0.00007493301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002230664,"about_ca_topic_score_gemma":0.000008540965,"domain_scores_codex":[0.9986026,0.0000103327,0.0007023506,0.00009127214,0.0003609863,0.0002324801],"domain_scores_gemma":[0.9990892,0.0001544091,0.0001559704,0.0002949788,0.0002301056,0.00007537465],"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":[0.000006871949,0.000006353237,0.0002184711,0.000745828,0.00001391367,6.111496e-7,0.0003254787,0.9882729,0.004612622,0.0006436756,0.000006127637,0.005147169],"study_design_scores_gemma":[0.0006696957,0.00006769684,0.01581874,0.00008883887,0.00001902767,2.48055e-7,0.00008839201,0.9810633,0.001670522,0.0001478212,0.0001158894,0.0002497891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4816175,0.00000311726,0.5173395,0.00001468985,0.0002130515,0.0002892875,0.0000184903,0.000445361,0.00005909529],"genre_scores_gemma":[0.9086149,0.000003205393,0.09029979,0.00003031538,0.00002042103,0.00004885453,0.0009371772,0.00004096886,0.000004402572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4270397,"threshold_uncertainty_score":0.9999958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006978012025827038,"score_gpt":0.2555755382410553,"score_spread":0.2485975262152282,"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."}}