{"id":"W2997397387","doi":"10.1002/9781119300762.wsts0172","title":"Advanced Water Main Deterioration Model Using Bayesian Geoadditive Quantile Regression","year":2019,"lang":"en","type":"other","venue":"Encyclopedia of Water","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Covariate; Quantile regression; Quantile; Econometrics; Breakage; Nonlinear system; Bayesian probability; Quantile function; Computer science; Regression; Statistics; Mathematics; Probability density function; Cumulative distribution function","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":[0.00008107724,0.0003581327,0.0004445954,0.0002519585,0.0000273739,0.00002360019,0.0001369056,0.0003665994,0.000527716],"category_scores_gemma":[0.000002135017,0.0002197379,0.00008663423,0.00003920448,0.00002077525,0.000187805,0.00005325273,0.0001377168,0.0001621549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006413466,"about_ca_system_score_gemma":0.00001368538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006326536,"about_ca_topic_score_gemma":0.00008689753,"domain_scores_codex":[0.998728,0.00003394091,0.0003902015,0.0002892651,0.0002041658,0.00035438],"domain_scores_gemma":[0.9994733,0.000004770258,0.00008021342,0.0003581251,0.00003214647,0.00005149469],"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":[0.00003503721,0.00003181955,0.00003720142,0.001252908,0.0001287449,0.00001657727,0.003127191,0.7558129,0.03918036,0.00001544643,0.1994267,0.000935016],"study_design_scores_gemma":[0.001061238,0.0000741991,0.000006083471,0.001826479,0.000123754,0.000009897427,0.00009935176,0.6177398,0.06089021,0.0001636805,0.3167138,0.001291543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01415335,0.0004902421,0.1902838,0.00002649848,0.004381787,0.001757694,0.0003633751,0.0007209051,0.7878223],"genre_scores_gemma":[0.09036194,0.0004921885,0.01401099,0.00001622675,0.0007332504,0.00006135204,0.001125398,0.001269793,0.8919289],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1762728,"threshold_uncertainty_score":0.8960652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007198951984544449,"score_gpt":0.2108042734616634,"score_spread":0.2036053214771189,"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."}}