{"id":"W3217040530","doi":"10.1016/j.biosystemseng.2021.11.003","title":"Characterisation of engineered water nanostructures (EWNS) and evaluation of their efficacy in inactivating Escherichia coli at conditions relevant to livestock operations","year":2021,"lang":"en","type":"article","venue":"Biosystems Engineering","topic":"Aerosol Filtration and Electrostatic Precipitation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Genome Prairie; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Alcohol and Drug Foundation; Ministry of Agriculture - Saskatchewan","keywords":"Barn; Human decontamination; Livestock; Environmental science; Environmental chemistry; Indoor bioaerosol; Produced water; Bioaerosol; Aerosolization; Environmental engineering; Chemistry; Pulp and paper industry; Veterinary medicine; Waste management; Aerosol; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002574212,0.0001445644,0.0002351263,0.0001625626,0.00003604583,0.00002043454,0.00004457533,0.00007786417,0.0000233357],"category_scores_gemma":[0.0001790808,0.0001374429,0.00002882721,0.0002567157,0.000008399863,0.0001554201,0.00002093885,0.00008256506,0.000002393145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640502,"about_ca_system_score_gemma":0.00003282926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001777731,"about_ca_topic_score_gemma":0.00004364105,"domain_scores_codex":[0.9989873,0.00005381319,0.0004567539,0.0001483023,0.0001899961,0.0001637923],"domain_scores_gemma":[0.9994954,0.00007923203,0.00003538043,0.000145649,0.0001926607,0.00005170958],"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":[0.000003171584,0.00001571074,0.00008348747,0.0001222614,0.00002174672,2.571264e-7,0.002730175,0.2523271,0.7444286,0.0001264286,0.000005974721,0.0001350127],"study_design_scores_gemma":[0.0003859492,0.00003769268,0.02330673,0.0001893735,0.00001737236,0.00000520938,0.0002728112,0.2010076,0.7746144,0.000004650751,0.00003000364,0.0001282064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970075,0.0001666854,0.001964966,0.00003866023,0.0002269289,0.0004540861,0.00004012028,0.00005737307,0.00004366669],"genre_scores_gemma":[0.9984166,0.00001728833,0.001261706,0.000005450951,0.00003249648,0.00007586119,0.0001531309,0.00002658642,0.00001090296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05131954,"threshold_uncertainty_score":0.5604759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388403113243136,"score_gpt":0.231441317589552,"score_spread":0.2175572864571206,"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."}}