{"id":"W2792230080","doi":"10.1002/j.1551-8833.2000.tb09054.x","title":"Improving Filtration of Cryptosporidium","year":2000,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Florida; National Science Foundation","keywords":"Cryptosporidium; Filtration (mathematics); Zeta potential; Coating; Sand filter; Filter (signal processing); Aluminum oxide; Cryptosporidium parvum; Slow sand filter; Water treatment; Aluminium; Materials science; Chemistry; Chromatography; Environmental engineering; Composite material; Microbiology; Environmental science; Nanotechnology; Nanoparticle; Biology; Mathematics","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":[0.0001901522,0.0005872586,0.0003303933,0.0003415697,0.0004730192,0.0007259626,0.0003139685,0.0003562181,0.0009532892],"category_scores_gemma":[0.0004273317,0.0002190409,0.0003124478,0.0002045836,0.0002333785,0.0002653454,0.0003384891,0.0003240977,0.0002881336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125916,"about_ca_system_score_gemma":0.0007935034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05946036,"about_ca_topic_score_gemma":0.1119378,"domain_scores_codex":[0.9997115,0.0000203154,0.00001622576,0.00004098302,0.0001220081,0.0000889338],"domain_scores_gemma":[0.9997711,0.00003604427,0.00003622733,0.00001324766,0.0001081361,0.00003531665],"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":[0.00003802249,0.00001831222,0.00116266,0.00006087826,0.000006338502,0.00002845961,0.00002974803,0.0001585558,0.9950629,0.00001842588,0.00005412637,0.003361575],"study_design_scores_gemma":[0.000006469941,0.0002861154,0.02077951,0.000008617375,0.0000346395,0.00009348975,0.00008916074,0.001223345,0.9753863,0.000012126,0.002069368,0.00001080491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956113,0.0005518291,0.00203255,0.00006849506,0.00002090494,0.00004586522,0.00008387836,0.00006349957,0.001521752],"genre_scores_gemma":[0.9880373,0.0006098204,0.006883837,0.0000570368,0.000006366608,0.0000123719,0.0002288513,0.00001668789,0.004147733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05946036,"threshold_uncertainty_score":0.1182285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002921881812022648,"score_gpt":0.204782755601158,"score_spread":0.2018608737891353,"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."}}