{"id":"W2897870426","doi":"10.1080/21693293.2018.1531476","title":"‘Building a safe and resilient Canada’: resilience and the mechanopolitics of critical infrastructure","year":2018,"lang":"en","type":"article","venue":"Resilience","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Vitality; Government (linguistics); Critical infrastructure; Resilience (materials science); Articulation (sociology); Corporate governance; Field (mathematics); Psychological resilience; Political science; Sociology; Public administration; Environmental ethics; Public relations; Law; Economics; Management; Psychology; Politics; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.00153645,0.000371566,0.0002773492,0.002496738,0.02201617,0.0110962,0.001418681,0.001417966,0.008204457],"category_scores_gemma":[0.004566214,0.0002748784,0.0002499302,0.00330851,0.03864628,0.004867984,0.00556023,0.002683741,0.0003687239],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1103586,"about_ca_system_score_gemma":0.1548935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9800325,"about_ca_topic_score_gemma":0.9919722,"domain_scores_codex":[0.9980187,0.000297809,0.00002710453,0.0001845213,0.0005048264,0.0009670365],"domain_scores_gemma":[0.9981997,0.0003962682,0.0001899009,0.0001387791,0.0006132689,0.0004619501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004195926,0.0000147473,0.007746332,0.0001119452,0.00001507766,0.0007748733,0.07625513,0.001420357,0.0003927899,0.8620394,0.01584083,0.03534648],"study_design_scores_gemma":[0.000009522644,0.00002491976,0.0273771,0.0006508673,0.00002747793,0.0005834899,0.180905,0.00148624,0.0009523231,0.1451121,0.6427097,0.0001612699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.340739,0.01394452,0.01590899,0.1119014,0.000655224,0.0001142053,0.0007155823,0.0002177663,0.5158034],"genre_scores_gemma":[0.981647,0.002606335,0.001646314,0.001048868,0.0000287174,0.0000102738,0.00006372231,0.00003790581,0.01291098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8896414,"threshold_uncertainty_score":0.8007113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00744562785423373,"score_gpt":0.3117816456630471,"score_spread":0.3043360178088134,"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."}}