{"id":"W2743707033","doi":"10.1061/9780784480885.013","title":"Collection and Compilation of Water Pipeline Field Performance Data","year":2017,"lang":"en","type":"article","venue":"Pipelines 2017","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Pipeline (software); Field (mathematics); Database; Programming language","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":[0.0001280047,0.00006548871,0.0001044738,0.00003495649,0.0001402807,0.00005280938,0.0001848326,0.00004637349,0.0000129807],"category_scores_gemma":[0.00002473028,0.00004949361,0.000008323063,0.00001118245,0.00001703796,0.0003883509,0.00008025663,0.00003839608,0.000009703348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000452728,"about_ca_system_score_gemma":0.000002681967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006658316,"about_ca_topic_score_gemma":0.0001224047,"domain_scores_codex":[0.9995972,0.000004855387,0.0001603602,0.00009736236,0.00005950671,0.00008074234],"domain_scores_gemma":[0.9993567,0.000008380048,0.00004489138,0.0005215338,0.00004922426,0.0000193039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002103721,0.00009962355,0.3208415,0.002562928,0.00013384,0.000006794424,0.002548384,0.1323435,0.02035229,0.00007310381,0.4456851,0.07514246],"study_design_scores_gemma":[0.0002517938,0.00001400872,0.01603673,0.00004273016,0.00001134804,0.00000493323,0.000005920771,0.9538001,0.02343497,0.00001060881,0.006302675,0.00008411743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8827717,0.0003952881,0.09682737,0.0005513624,0.002338972,0.0003566105,0.00007050168,0.000173,0.01651523],"genre_scores_gemma":[0.997484,0.0001737569,0.0006427816,0.000006175875,0.0001971753,0.000002232063,0.00009554543,0.000009151484,0.001389214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8214566,"threshold_uncertainty_score":0.2018291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04132809063774565,"score_gpt":0.2524838837480644,"score_spread":0.2111557931103188,"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."}}