{"id":"W1939526602","doi":"10.1111/1468-5973.12030","title":"Interorganizational Dynamics and Characteristics of Critical Infrastructure Networks: The Study of Three Critical Infrastructures in the <scp>G</scp>reater <scp>M</scp>ontreal Area","year":2013,"lang":"en","type":"article","venue":"Journal of Contingencies and Crisis Management","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Interdependence; Critical infrastructure; Resilience (materials science); Contingency theory; Normative; Contingency; Business; Organizational structure; Knowledge management; Computer science; Computer security; Sociology; Economics; Management; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005325695,0.0002292298,0.0004901403,0.0001928174,0.0001200843,0.0001744025,0.0003747477,0.00008942068,0.00002689899],"category_scores_gemma":[0.000611687,0.0001347664,0.00009009765,0.0003127866,0.0002712154,0.0002512558,0.000143776,0.0003994638,1.90723e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003418951,"about_ca_system_score_gemma":0.000009983561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004679399,"about_ca_topic_score_gemma":0.000128328,"domain_scores_codex":[0.9981359,0.0001135404,0.000855323,0.0001573855,0.0004516907,0.0002861819],"domain_scores_gemma":[0.9981737,0.0009641952,0.0002150964,0.0002329585,0.0003483416,0.0000657003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002091985,0.000507001,0.8613878,0.001173988,0.001577992,0.00007206519,0.02850603,0.05293398,0.0002268378,0.01230484,0.01413497,0.02715357],"study_design_scores_gemma":[0.0003409969,0.0002039489,0.8820211,0.0000610662,0.0004052024,0.00003244065,0.06762594,0.04486764,0.0000258357,0.004268102,0.000101148,0.0000465617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790495,0.0004353757,0.01948873,0.0002823922,0.0001688825,0.0002545989,0.000009933847,0.000007358201,0.0003032399],"genre_scores_gemma":[0.9990556,0.0002279606,0.0004276862,0.0001369246,0.0001201094,0.000008299614,0.000002714062,0.00001478124,0.000005972191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03911991,"threshold_uncertainty_score":0.5495614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004672236817934207,"score_gpt":0.2099237153691262,"score_spread":0.205251478551192,"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."}}