{"id":"W2465665672","doi":"10.1061/9780784479957.052","title":"PIPEiD: Pipeline Infrastructure Database","year":2016,"lang":"en","type":"article","venue":"Pipelines 2016","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Pipeline (software); Asset (computer security); Sustainability; Computer science; Asset management; Database; Engineering; Engineering management; Computer security; Business; Finance","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":[0.00009888458,0.0001824234,0.0001644746,0.0000854403,0.00003505241,0.00002590947,0.0001665461,0.00008487874,0.0004159365],"category_scores_gemma":[0.00004181752,0.0001054397,0.00004275113,0.0001089001,0.00002466888,0.0002988934,0.00004021906,0.00005695278,0.0006233396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003711055,"about_ca_system_score_gemma":0.00001496826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001423808,"about_ca_topic_score_gemma":0.0000424085,"domain_scores_codex":[0.9991193,0.00001546067,0.0002887527,0.0001849273,0.0001347208,0.0002568743],"domain_scores_gemma":[0.9993985,0.0000323342,0.00003331435,0.0003632992,0.00007562734,0.00009696472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001283194,0.00001185743,0.00131666,0.00008237437,0.00001926025,0.000008660287,0.00007902885,0.005935622,0.01638393,0.0002161081,0.9406064,0.03532732],"study_design_scores_gemma":[0.001583668,0.00002219497,0.001067872,0.0003736997,0.00003081519,0.00003754491,0.00002674766,0.0526562,0.01571208,0.0004791055,0.9273162,0.0006937948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01014636,0.001048101,0.9715045,0.000624255,0.002862001,0.0002761255,0.000264691,0.001044517,0.01222942],"genre_scores_gemma":[0.9703493,0.0006105299,0.004479173,0.0001195593,0.002018958,0.00002621617,0.00007823481,0.00009529247,0.02222272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9670253,"threshold_uncertainty_score":0.8011976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006340815419037985,"score_gpt":0.1915822392407346,"score_spread":0.1852414238216966,"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."}}