{"id":"W4235570838","doi":"10.26434/chemrxiv.13350785","title":"Treatment of Severely-Deteriorated Post-Fire Runoff: A Comparison of Conventional and High-Rate Clarification to Demonstrate Key Drinking Water Treatment Capabilities and Challenges","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Environmental science; Surface runoff; Debris; Water quality; Hydrology (agriculture); Environmental engineering; Geology; Ecology; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007310079,0.0003077853,0.0003297017,0.000305023,0.0003753098,0.0007641048,0.0004596212,0.0004554375,0.001462817],"category_scores_gemma":[0.0005174771,0.0001255935,0.0003834104,0.0002323616,0.0003204348,0.0005081975,0.0003204195,0.0006148539,0.0002844287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007786333,"about_ca_system_score_gemma":0.0006658701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092993,"about_ca_topic_score_gemma":0.03157413,"domain_scores_codex":[0.9995024,0.00005505854,0.00002635597,0.00008433172,0.0002495789,0.00008221548],"domain_scores_gemma":[0.999739,0.00005213565,0.0000369177,0.00002060183,0.0001142489,0.00003700336],"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":[0.001824777,0.0008716901,0.008717478,0.00105356,0.00009025899,0.0002295558,0.0003249087,0.004490484,0.9300157,0.0003824222,0.0008644526,0.05113472],"study_design_scores_gemma":[0.00008990982,0.004151532,0.03206912,0.00007157341,0.0001305039,0.000264072,0.0007633237,0.008951037,0.9429051,0.0001296165,0.0104193,0.0000549894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913396,0.001317923,0.002414572,0.00009165664,0.0000415469,0.0001425423,0.0002489407,0.00004293369,0.004360278],"genre_scores_gemma":[0.9875524,0.001884356,0.006217749,0.0001133352,0.00002079337,0.00005200924,0.0003412834,0.0000276736,0.00379032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01092993,"threshold_uncertainty_score":0.02173263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550491522697933,"score_gpt":0.2463519242014074,"score_spread":0.2108470089744281,"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."}}