{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006531451,0.0005896327,0.0006674525,0.0005844833,0.0007748621,0.001190093,0.001039961,0.001191689,0.002326016],"category_scores_gemma":[0.002278064,0.0005209583,0.0006879315,0.0005515894,0.000712411,0.0004492475,0.0005357333,0.0008974898,0.0001482394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003130816,"about_ca_system_score_gemma":0.003933833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3696728,"about_ca_topic_score_gemma":0.2547595,"domain_scores_codex":[0.9997922,0.00007852136,0.000009048347,0.00002238919,0.00005734651,0.00004050303],"domain_scores_gemma":[0.9993317,0.0004285446,0.00004906407,0.00002025036,0.0001479847,0.00002246608],"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":[0.000009993581,0.000008221163,0.0001084981,0.000008322419,0.000003488174,0.00000409952,0.000006689516,0.9973309,0.00009589177,0.001012013,0.00008634438,0.001325485],"study_design_scores_gemma":[0.000002496891,0.000004135221,0.00005657088,0.000001696606,0.000001625139,7.482197e-7,0.000005646779,0.9994506,0.00006352294,0.000270107,0.000141323,0.000001550726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.490599,0.00212019,0.4332896,0.003984352,0.0003613479,0.0001923689,0.0007476679,0.0003785728,0.06832692],"genre_scores_gemma":[0.9559402,0.0004197889,0.03577683,0.0001269319,0.00003966066,0.00009937266,0.0001588195,0.00007332733,0.007365094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6303272,"threshold_uncertainty_score":0.7350422,"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."}}