{"id":"W2908501854","doi":"10.1016/j.scitotenv.2018.12.319","title":"Affordable and efficient adsorbent for arsenic removal from rural water supply systems in Newfoundland","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arsenic; Adsorption; Activated carbon; Langmuir adsorption model; Chloride; Chemistry; Methylene blue; Fly ash; Langmuir; Water treatment; Nuclear chemistry; Iodine value; Environmental chemistry; Environmental engineering; Environmental science; Organic chemistry; Catalysis","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":[0.0002153357,0.0001229905,0.0001400217,0.0003689583,0.001380308,0.000663859,0.0003324816,0.0002661194,0.002546687],"category_scores_gemma":[0.0002312161,0.0001131666,0.000167036,0.0003416199,0.0003081529,0.0003055123,0.0003241857,0.0003266225,0.0002387428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00540417,"about_ca_system_score_gemma":0.005389304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6483464,"about_ca_topic_score_gemma":0.9170423,"domain_scores_codex":[0.9997447,0.00003378799,0.00001205518,0.00004178037,0.00007513162,0.00009254232],"domain_scores_gemma":[0.9998349,0.00001932904,0.0000273265,0.00001268282,0.00008185503,0.00002387104],"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":[0.001327866,0.001849851,0.1213773,0.0006292311,0.0000970925,0.002000647,0.001506367,0.01766944,0.685423,0.00336488,0.01172533,0.1530291],"study_design_scores_gemma":[0.0001762087,0.002803162,0.5702484,0.0001230465,0.0002406341,0.001072308,0.01022592,0.03616716,0.2898547,0.0005583386,0.08841048,0.0001195843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922079,0.000108557,0.001267415,0.0003486458,0.000009624343,0.0000497872,0.0001499617,0.00004069004,0.005817536],"genre_scores_gemma":[0.9811854,0.0001718321,0.004643057,0.00007690131,0.000003090407,0.00002254173,0.0001935558,0.000009535825,0.01369414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3516536,"threshold_uncertainty_score":0.7074491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006139714210469491,"score_gpt":0.1964847874569743,"score_spread":0.1903450732465048,"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."}}