{"id":"W2912023217","doi":"10.1002/aws2.1116","title":"Anatoxin‐a adsorption by virgin and preloaded granular activated carbon","year":2019,"lang":"en","type":"article","venue":"AWWA Water Science","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Water Research Foundation","keywords":"Adsorption; Coal; Chemistry; Ultrapure water; Activated carbon; Carbon fibers; Aqueous solution; Pulp and paper industry; Chemical engineering; Nuclear chemistry; Organic chemistry; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000161,0.0003991996,0.000280817,0.0004409464,0.0002405552,0.0003492025,0.000361105,0.0004153754,0.0008018608],"category_scores_gemma":[0.0003925708,0.0001636445,0.0003170019,0.0003749611,0.0002278377,0.000250386,0.0002884904,0.0002970715,0.0001557334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005344679,"about_ca_system_score_gemma":0.0002623759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006457699,"about_ca_topic_score_gemma":0.009153149,"domain_scores_codex":[0.9997076,0.00002529224,0.0000259836,0.00005953823,0.0001152566,0.00006624023],"domain_scores_gemma":[0.9997664,0.00005543287,0.00003539167,0.00002362922,0.00007597932,0.00004304347],"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":[0.0002307396,0.00003563199,0.0006619793,0.00005615153,0.00001297123,0.00003965021,0.00002087412,0.0004398487,0.9971621,0.00001894931,0.00001989963,0.001301204],"study_design_scores_gemma":[0.00001271585,0.0009188642,0.01009121,0.000006407568,0.00002198443,0.00005633873,0.00007831419,0.003196946,0.9851773,0.00002222396,0.0004030091,0.00001482583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993119,0.0001604948,0.0001708451,0.00000766836,0.000009549126,0.000008209298,0.00009234493,0.00001033585,0.0002287129],"genre_scores_gemma":[0.9981126,0.0001983101,0.0007737425,0.00001464505,0.000004931277,0.00001028235,0.0002376462,0.000008196365,0.0006397567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006457699,"threshold_uncertainty_score":0.01284021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00248191266571734,"score_gpt":0.1756269707198685,"score_spread":0.1731450580541512,"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."}}