{"id":"W6999326773","doi":"","title":"Computational modelling techniques in the optimization of corrosion control for reducing lead in Canadian drinking water","year":2014,"lang":"en","type":"article","venue":"Cronfa (Swansea University)","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Lead (geology); Corrosion; Work (physics); Control (management)","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":[0.0001951177,0.00005246237,0.00006262626,0.0001429143,0.0001008371,0.00001268175,0.00008091916,0.00003717257,0.00002555571],"category_scores_gemma":[0.00000317162,0.00004150188,0.00002238651,0.0001232173,0.00004265706,0.0001678529,0.00001089547,0.0000354597,0.00000207314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002509018,"about_ca_system_score_gemma":0.00001268844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05045077,"about_ca_topic_score_gemma":0.03206883,"domain_scores_codex":[0.9995503,0.00004775663,0.00007411632,0.0001162468,0.00006665711,0.0001449354],"domain_scores_gemma":[0.9998556,0.00003359255,0.00002283583,0.00005626572,0.000008166713,0.00002352896],"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":[0.00002286553,0.00002282759,0.03337749,0.000002900539,8.094112e-7,0.000001378279,0.0006688164,0.964629,0.0005548034,0.000316058,0.00001422673,0.0003888089],"study_design_scores_gemma":[0.0007113509,0.00006537965,0.002371338,0.00002530742,0.00001210713,9.255213e-7,0.0001577471,0.9909925,0.003750028,0.0006114678,0.001217245,0.00008458717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4380473,0.000001134329,0.5568434,0.0001576085,0.00001943856,0.000257987,0.000002303963,0.00001012782,0.004660723],"genre_scores_gemma":[0.9962422,0.000001117239,0.0035787,0.00002933526,0.000006175769,0.000001459777,0.00003586736,0.00000358137,0.0001015281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.558195,"threshold_uncertainty_score":0.9855934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008770303608187546,"score_gpt":0.1825819991025247,"score_spread":0.1738116954943372,"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."}}