{"id":"W2186622878","doi":"10.1007/978-3-540-72108-6_24","title":"Modeling of Flood-Related Interdependencies among Critical Infrastructures","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in geoinformation and cartography","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fragility; Interdependence; Flood myth; Cascading failure; Computer science; Petri net; Critical infrastructure; Hazard; Dam failure; Risk analysis (engineering); Distributed computing; Geography; Business; Computer security","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":[0.0002229453,0.0003695198,0.0005069275,0.001153906,0.00006355237,0.0000477992,0.0001443376,0.0006997601,0.0002750203],"category_scores_gemma":[0.00008501008,0.0003407805,0.0002537127,0.0002186484,0.0002834959,0.0003063645,0.00003948093,0.0008372554,0.000002576343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003501347,"about_ca_system_score_gemma":0.00001793975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005411823,"about_ca_topic_score_gemma":0.0005552493,"domain_scores_codex":[0.9983611,0.00001106087,0.000832585,0.0001867301,0.0003305561,0.0002779514],"domain_scores_gemma":[0.9993315,0.0001295639,0.00008075048,0.0002482656,0.000128538,0.00008142633],"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":[0.00001211919,0.000002953067,0.000815873,0.0005169624,0.0001288511,0.000002868917,0.001922281,0.9573951,0.00003182017,0.008642275,0.000008899016,0.03051999],"study_design_scores_gemma":[0.0003181393,0.00006137213,0.001163166,0.0004782129,0.0001803539,0.00002378467,0.0001269015,0.8778862,0.0005029479,0.1182895,0.000289397,0.0006799424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05985968,0.004388043,0.6974988,0.00003716526,0.0006822814,0.0005330965,0.0001016902,0.0003317494,0.2365675],"genre_scores_gemma":[0.9984971,0.0003271917,0.000940113,0.00004745989,0.00004495368,0.000003471891,0.00008231476,0.00002751323,0.00002984421],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9386374,"threshold_uncertainty_score":0.9999044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006430489065774136,"score_gpt":0.2187861553128831,"score_spread":0.212355666247109,"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."}}