{"id":"W3136879731","doi":"10.1680/jinam.19.00065","title":"Developing the next generation of infrastructure engineers","year":2021,"lang":"en","type":"article","venue":"Infrastructure Asset Management","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Critical infrastructure; Interdependence; Multidisciplinary approach; Context (archaeology); Excellence; Value (mathematics); Work (physics); Business; Engineering ethics; Risk analysis (engineering); Engineering; Computer science; Political science; 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":[0.0001908769,0.0003198481,0.0003382157,0.0001697152,0.0001562597,0.0001268188,0.0004259508,0.0001504053,0.000412034],"category_scores_gemma":[0.0000406032,0.0002458197,0.0001672262,0.0009778002,0.000091764,0.0002740506,0.0001375997,0.0003502447,0.000009772324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001935575,"about_ca_system_score_gemma":0.00006197712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000042527,"about_ca_topic_score_gemma":0.00002082844,"domain_scores_codex":[0.9982434,0.0000692098,0.0005213126,0.0003277973,0.0004553314,0.0003829435],"domain_scores_gemma":[0.9989319,0.00005407449,0.00008918705,0.0007008041,0.0001595393,0.00006443662],"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":[0.000003475465,0.000005758174,0.0008939453,0.0002711833,0.0004892999,0.0000253214,0.000341358,0.9128715,0.01170981,0.01802069,0.01126269,0.04410499],"study_design_scores_gemma":[0.001576376,0.00007000614,0.1711481,0.0002389334,0.001049276,0.000209645,0.006762168,0.4257862,0.1719211,0.03499819,0.1840259,0.002214064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5647457,0.001187536,0.4189681,0.001030292,0.002113737,0.0006238458,0.00004999872,0.0003692544,0.0109115],"genre_scores_gemma":[0.9763357,0.0003770461,0.02252023,0.0002794092,0.0002498989,0.00002463585,0.000106558,0.00003438588,0.00007212064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4870853,"threshold_uncertainty_score":0.9999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998620549384265,"score_gpt":0.2362859286752407,"score_spread":0.216299723181398,"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."}}