{"id":"W2023812610","doi":"10.1002/cjce.22101","title":"Removal of excess fluoride from groundwater using natural coagulant <i>Moringa oleifera</i> Lam and microfiltration","year":2014,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbidity; Fluoride; Microfiltration; Chemistry; Moringa; Coagulation; Pulp and paper industry; Groundwater; Flocculation; Water treatment; Wastewater; Environmental engineering; Environmental chemistry; Chromatography; Membrane; Environmental science; Food science; Inorganic chemistry; Geology; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001634262,0.00006880188,0.0001245025,0.00002942201,0.00005380256,0.00002470703,0.00009046964,0.00002772509,0.00003776496],"category_scores_gemma":[0.00005451653,0.00005124817,0.00003366725,0.00006753585,0.00007463577,0.0001007764,0.00002011604,0.0001172695,0.000001123297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008873914,"about_ca_system_score_gemma":0.00001502302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003518307,"about_ca_topic_score_gemma":0.0004214486,"domain_scores_codex":[0.9994844,0.00001192144,0.0002043968,0.00006070108,0.0001276804,0.0001109466],"domain_scores_gemma":[0.9996763,0.00005380108,0.00007907309,0.00006636657,0.00001808579,0.0001063935],"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":[0.000009489513,0.000003256309,0.008191947,0.000006108416,0.00002276803,0.000008459511,0.0004687524,0.02050776,0.9693631,0.0001014052,0.00005709626,0.001259886],"study_design_scores_gemma":[0.001181392,0.00004554659,0.1326578,0.0001869796,0.0001259131,0.0009003127,0.00006497805,0.3178469,0.5398074,0.0007152716,0.005970687,0.0004968637],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997298,0.0001526642,0.002140605,0.0001513512,0.0001603353,0.00002599332,0.000001553569,0.00000303566,0.00006647084],"genre_scores_gemma":[0.9980677,0.00000122293,0.001746767,0.00005049571,0.0001157776,1.985739e-7,0.000001268744,0.000005993944,0.0000105272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4295556,"threshold_uncertainty_score":0.5318652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01005142187287903,"score_gpt":0.1905375141302109,"score_spread":0.1804860922573318,"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."}}