{"id":"W2101031476","doi":"10.1504/ijcis.2010.029574","title":"An approach to identifying geographic interdependencies among critical infrastructures","year":2009,"lang":"en","type":"article","venue":"International Journal of Critical Infrastructures","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Interdependence; Domino effect; Confidentiality; Geographic information system; Computer science; Risk analysis (engineering); Information system; Computer security; Geography; Business; Cartography; Engineering; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0015236,0.0012193,0.000714463,0.008456783,0.002053526,0.004244895,0.001837717,0.001799396,0.005808135],"category_scores_gemma":[0.007819188,0.000874401,0.001881985,0.008809689,0.002498682,0.004852121,0.003290742,0.001601887,0.0007788712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198369,"about_ca_system_score_gemma":0.003553622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01073819,"about_ca_topic_score_gemma":0.01014261,"domain_scores_codex":[0.9980617,0.0006906369,0.0001401428,0.0004205682,0.0005449016,0.0001419935],"domain_scores_gemma":[0.9966471,0.001727879,0.0004936068,0.0004115678,0.0005925248,0.0001273044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006045777,0.0000999676,0.009304659,0.000487426,0.0001890629,0.001433037,0.003423471,0.1260882,0.003559682,0.717143,0.003749246,0.1344618],"study_design_scores_gemma":[0.0000437018,0.0001101413,0.006356725,0.0002464933,0.0001509841,0.001435076,0.00485391,0.2596044,0.001657919,0.6580387,0.06740224,0.00009974709],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01173955,0.0004669776,0.9761927,0.0007190068,0.00005548502,0.0003265119,0.000462364,0.0001748426,0.009862632],"genre_scores_gemma":[0.1943081,0.0009208182,0.7994156,0.0001131469,0.00006993804,0.0004294562,0.000645278,0.00005098446,0.004046665],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01073819,"threshold_uncertainty_score":0.0213514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008805682408790254,"score_gpt":0.3110814046735648,"score_spread":0.3022757222647746,"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."}}