{"id":"W2009947569","doi":"10.5942/jawwa.2013.105.0001","title":"Contaminant intrusion in water distribution systems: An ingress model","year":2013,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Systems and Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Intrusion; Dimensionless quantity; Geotechnical engineering; Factorial experiment; Environmental science; Pipe network analysis; Geology; Soil science; Mathematics; Statistics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003230472,0.0001738541,0.0002743074,0.00009818125,0.0000662774,0.0002319682,0.0001033258,0.0001263116,0.00001431306],"category_scores_gemma":[0.000008789459,0.000118672,0.00003254389,0.0001416359,0.00001565713,0.000793459,0.00003075577,0.0001562796,0.0001065333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007803311,"about_ca_system_score_gemma":0.000004281522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002024927,"about_ca_topic_score_gemma":0.0002731854,"domain_scores_codex":[0.9986247,0.00009927294,0.0003979075,0.0002020677,0.0002131435,0.0004628465],"domain_scores_gemma":[0.9995587,0.00001393173,0.00007633639,0.0001741494,0.0001078927,0.00006902689],"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":[0.000005267948,0.00003127716,0.01403144,0.00002555096,0.00002267037,0.00000137976,0.00231872,0.9759749,0.003701125,0.00001875526,0.001465144,0.002403775],"study_design_scores_gemma":[0.0002871416,0.00003369538,0.005835315,0.00007564653,0.00001041343,9.467462e-7,0.0003764966,0.9882591,0.004511359,0.00004105988,0.0003242516,0.0002446066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9461409,0.00002483319,0.05251076,0.000133058,0.0004186706,0.0003891571,0.000008017303,0.000204393,0.0001701364],"genre_scores_gemma":[0.9984372,0.00003083796,0.0001321067,0.00002454712,0.0001090041,0.0001470577,0.0006672657,0.00003592991,0.0004160007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05237865,"threshold_uncertainty_score":0.4839305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003482361896071409,"score_gpt":0.1752549152108668,"score_spread":0.1717725533147954,"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."}}