{"id":"W2969283176","doi":"","title":"Examining the Role of Layer Growth Duration on Layer Strength and Turbidity Response in a Full-Scale Laboratory Drinking Water Distribution System at Queen’s University:","year":2018,"lang":"en","type":"article","venue":"WDSA / CCWI Joint Conference Proceedings","topic":"Water Systems and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Environmental science; Water flow; Water quality; Flow (mathematics); Duration (music); Hydrology (agriculture); Environmental engineering; Ecology; Geotechnical engineering; Engineering; Geology; Mechanics; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660501,0.0001634851,0.0002035741,0.0001244147,0.0003920168,0.0005242589,0.0003590451,0.0002506105,0.001347991],"category_scores_gemma":[0.0005827053,0.000152783,0.0002026031,0.00014729,0.0002523255,0.0003272007,0.0003100091,0.0003428552,0.000270958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008750195,"about_ca_system_score_gemma":0.0005338847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02552649,"about_ca_topic_score_gemma":0.03544609,"domain_scores_codex":[0.9998388,0.00001751925,0.000008018815,0.00004053726,0.00005874924,0.00003629342],"domain_scores_gemma":[0.999212,0.000191582,0.0001362471,0.00005199171,0.0003024783,0.000105626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005588576,0.0004102616,0.03549559,0.00008281748,0.00001637627,0.0001128667,0.0003893175,0.0009397006,0.9543551,0.00003130801,0.0002050585,0.007402883],"study_design_scores_gemma":[0.00003166931,0.00228601,0.4079658,0.00001116366,0.00004860475,0.0000857981,0.001285597,0.0122826,0.5749346,0.00002819306,0.001009231,0.00003078723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994617,0.00001421164,0.0002395604,0.0000119926,0.000001477766,0.00001140301,0.00006651027,0.00001385664,0.0001793638],"genre_scores_gemma":[0.9984744,0.00002584214,0.0006653404,0.00001647656,7.679581e-7,0.00001604679,0.0001081832,0.000005278579,0.0006875734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02552649,"threshold_uncertainty_score":0.0507558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246667501926822,"score_gpt":0.1751554518293262,"score_spread":0.162688776810058,"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."}}