{"id":"W1970223845","doi":"10.1193/1.2192847","title":"Modeling Community Recovery from Earthquakes","year":2006,"lang":"en","type":"article","venue":"Earthquake Spectra","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":257,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Federal Emergency Management Agency; National Science Foundation","keywords":"Operationalization; Conceptual model; Community resilience; Computer science; Vulnerability (computing); Disaster recovery; Emergency management; Resilience (materials science); Decision support system; Focus group; Risk analysis (engineering); Computer security; Artificial intelligence; Business; Political science; Redundancy (engineering)","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":[0.0009707989,0.000434772,0.0003935056,0.0008316922,0.0008443933,0.001184437,0.001734778,0.001683898,0.004890657],"category_scores_gemma":[0.005041497,0.0002916271,0.0006083226,0.0007586426,0.001040661,0.00225484,0.002112288,0.001034108,0.0004864541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929147,"about_ca_system_score_gemma":0.001463517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04168019,"about_ca_topic_score_gemma":0.02101015,"domain_scores_codex":[0.9995108,0.0001780512,0.00002097579,0.00009836064,0.00007905573,0.0001128357],"domain_scores_gemma":[0.9989109,0.0005200076,0.000170171,0.00009753057,0.0001563633,0.0001450831],"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":[0.00003466624,0.00005928706,0.002516307,0.0000275812,0.00001912902,0.0001429446,0.0003181333,0.9564777,0.0002269071,0.03304575,0.001402701,0.005728872],"study_design_scores_gemma":[0.00001114549,0.00002099687,0.000551381,0.000007846616,0.000007631655,0.0000251532,0.0002570966,0.9848563,0.00007350137,0.01267,0.001510369,0.000008535123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6071357,0.0004890157,0.322936,0.005071942,0.0001351856,0.0002750829,0.001522526,0.0009615125,0.06147306],"genre_scores_gemma":[0.9788721,0.0002153862,0.01180876,0.0001146217,0.00002405456,0.000163014,0.0003827289,0.00006826306,0.008351065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04168019,"threshold_uncertainty_score":0.08287519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186324471030244,"score_gpt":0.2599874802952234,"score_spread":0.238124235584921,"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."}}