{"id":"W2999942773","doi":"10.1061/9780784481653.013","title":"Proactive Management Strategy for Critical Buried Infrastructure","year":2018,"lang":"en","type":"article","venue":"Pipelines 2018","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Critical infrastructure; Computer science; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009546294,0.0002108439,0.000184212,0.00006696773,0.0001231047,0.00006601574,0.000172064,0.0001241327,0.0003801963],"category_scores_gemma":[0.00008823323,0.0001843182,0.00006963356,0.0001369646,0.0002049647,0.0002100561,0.00003801622,0.0001150865,0.00002995482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095292,"about_ca_system_score_gemma":0.00002960442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003976837,"about_ca_topic_score_gemma":0.000006383188,"domain_scores_codex":[0.9989492,0.00001438938,0.0002428791,0.0002585071,0.0001315442,0.000403447],"domain_scores_gemma":[0.9992787,0.00007764399,0.00001688891,0.0002984143,0.0002348375,0.00009357116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004804327,0.0001614738,0.000578267,0.001775846,0.0006420494,0.00001825849,0.001792597,0.00638011,0.001390356,0.1006962,0.6813881,0.2046963],"study_design_scores_gemma":[0.001202041,0.0006751709,0.008560185,0.00004099436,0.0001855679,0.00002443635,0.002366179,0.05781111,0.00530921,0.629153,0.2937115,0.0009605853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02804393,0.0001749697,0.866806,0.0005352822,0.002226565,0.001403761,0.00006227195,0.0007638943,0.09998327],"genre_scores_gemma":[0.9724733,0.000009501005,0.02478122,0.0001438032,0.001843879,0.00009118103,0.00001749802,0.00004301552,0.0005966456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9444293,"threshold_uncertainty_score":0.7516277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343314742603842,"score_gpt":0.2752338232261775,"score_spread":0.261800675800139,"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."}}