{"id":"W2775531768","doi":"10.3390/w9120963","title":"UV Disinfection of Hand-Rinse Greywater and Performance Testing Using Indigenous Staphylococcus spp.","year":2017,"lang":"en","type":"article","venue":"Water","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Greywater; Staphylococcus aureus; Staphylococcus; Microbiology; Food science; Agar; Biology; Veterinary medicine; Chemistry; Bacteria; Medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008420416,0.0006452749,0.0004981412,0.0003295364,0.000397646,0.000494677,0.0003764243,0.0005261464,0.002394313],"category_scores_gemma":[0.001158001,0.0002182404,0.0004621633,0.0002583791,0.0003899506,0.000264747,0.0005001613,0.000334831,0.0005164195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002544379,"about_ca_system_score_gemma":0.0003589491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002450112,"about_ca_topic_score_gemma":0.006563531,"domain_scores_codex":[0.9988084,0.0002332833,0.00006920773,0.0002141318,0.0005971273,0.000077938],"domain_scores_gemma":[0.9991137,0.0002528689,0.0002316555,0.000105286,0.0002509784,0.00004544213],"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":[0.0001613654,0.0001149674,0.01647986,0.0002245495,0.00003568438,0.00006314224,0.0002859158,0.0000966816,0.9727538,0.00002497316,0.00006132495,0.00969771],"study_design_scores_gemma":[0.000009655591,0.003432682,0.09678122,0.00005508198,0.0000623329,0.0003045624,0.0006660295,0.0006522724,0.8964356,0.0001136807,0.001464557,0.00002226596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907539,0.0004512002,0.007324485,0.00005006417,0.000015552,0.0001376347,0.0001547802,0.00004867718,0.001063655],"genre_scores_gemma":[0.9734299,0.0006850458,0.02171943,0.0001129446,0.00001626141,0.0001472166,0.0003909245,0.0000491914,0.003449119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002450112,"threshold_uncertainty_score":0.008009791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449908277426357,"score_gpt":0.2256750142481257,"score_spread":0.2011759314738622,"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."}}