{"id":"W2049008053","doi":"10.4028/www.scientific.net/amr.113-116.100","title":"Integrated Treatment Methods for Safe Drinking Water Purification in Shanghai","year":2010,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Water supply; Water treatment; Water quality; Water source; Quality (philosophy); Portable water purification; Water safety; Environmental engineering; Water supply network; Waste management; Environmental science; Risk analysis (engineering); Water resource management; Engineering; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003442117,0.0004405968,0.0003092144,0.0006980351,0.000390387,0.0005308798,0.0003655039,0.0002332748,0.002709063],"category_scores_gemma":[0.0001338151,0.0002381429,0.0003219846,0.0006214397,0.0002101877,0.0004415654,0.0005809917,0.0002901288,0.0004510865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101521,"about_ca_system_score_gemma":0.001377378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009751914,"about_ca_topic_score_gemma":0.02958756,"domain_scores_codex":[0.9996729,0.00003646487,0.00001663441,0.00004077253,0.0001844804,0.00004872592],"domain_scores_gemma":[0.999934,0.000005422769,0.0000125681,0.000009433668,0.00002934217,0.000009400197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002805491,0.0002402865,0.004903502,0.001055346,0.00009509876,0.0001986028,0.0002699345,0.01179365,0.7549366,0.006461374,0.002237505,0.2175276],"study_design_scores_gemma":[0.0001501746,0.0009226926,0.02613021,0.0000732832,0.0002645995,0.0003184055,0.0003071682,0.02462178,0.885061,0.001819766,0.06027229,0.00005873294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6094477,0.01295404,0.3476876,0.0006070475,0.0003284311,0.0003300862,0.0004329299,0.002044275,0.02616774],"genre_scores_gemma":[0.8841425,0.003320762,0.09255801,0.0001246528,0.00002957083,0.0001519101,0.0004417244,0.00008354128,0.0191473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009751914,"threshold_uncertainty_score":0.01939029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150847385614014,"score_gpt":0.4484456290129509,"score_spread":0.3333608904515494,"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."}}