{"id":"W4327935672","doi":"10.1557/s43580-023-00537-x","title":"Application of molasses in improving water purification efficiency of diatomaceous earth waste ceramic membranes","year":2023,"lang":"en","type":"article","venue":"MRS Advances","topic":"Fluoride Effects and Removal","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Centrum för naturkatastrofslära, Uppsala Universitet","keywords":"Membrane; Filtration (mathematics); Materials science; Nanofiltration; Activated carbon; Wastewater; Ultrafiltration (renal); Waste management; Portable water purification; Ceramic membrane; Chemical engineering; Pulp and paper industry; Ceramic; Environmental engineering; Chromatography; Composite material; Chemistry; Adsorption; Environmental science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001548792,0.0003335986,0.0002981747,0.000224186,0.0002166942,0.000438804,0.0001985263,0.0002627521,0.000772154],"category_scores_gemma":[0.0002111402,0.0001416932,0.0003853433,0.0003034333,0.0001736372,0.0003927804,0.0001898814,0.0003796492,0.0001524284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000370052,"about_ca_system_score_gemma":0.000286908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003028742,"about_ca_topic_score_gemma":0.005716048,"domain_scores_codex":[0.9999007,0.00001056764,0.00001118051,0.00001989956,0.00002980439,0.00002781208],"domain_scores_gemma":[0.9999388,0.00001041942,0.00001346416,0.000007076234,0.00002033117,0.000009789101],"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":[0.00009695055,0.0000117761,0.0002259771,0.00006955337,0.000006300133,0.00004306789,0.00002112537,0.000115445,0.9954458,0.00006257867,0.00002969057,0.003871664],"study_design_scores_gemma":[0.000002413984,0.00006149671,0.0006524271,0.000003078277,0.00001114341,0.00003443172,0.00002681302,0.0002943965,0.9978934,0.00001121507,0.001006121,0.00000300251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943936,0.002683419,0.001525912,0.000136105,0.00004315649,0.000007371048,0.00008060603,0.00004877598,0.001081047],"genre_scores_gemma":[0.9957277,0.001409246,0.001472478,0.00002434157,0.000009212184,0.000002359461,0.00005205557,0.000009116476,0.001293418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003028742,"threshold_uncertainty_score":0.006022215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003672080972057926,"score_gpt":0.2156135671981529,"score_spread":0.211941486226095,"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."}}