{"id":"W2003193683","doi":"10.1142/s0219581x11009453","title":"<font>Fe–Al</font> NANO-OXIDE PREPARED BY SOL–GEL METHOD USING PRECURSOR OF <font>HCl</font> DIGESTED LIQUID FRACTION OF LATERITE: ARSENIC ADSORPTION PERFORMANCE","year":2011,"lang":"en","type":"article","venue":"International Journal of Nanoscience","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Materials science; Arsenic; Adsorption; Oxide; High-resolution transmission electron microscopy; Laterite; Nuclear chemistry; Nanoparticle; Langmuir adsorption model; Nano-; Nickel; Metallurgy; Chemistry; Nanotechnology; Composite material; 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":[0.0001013016,0.0002945396,0.0001584891,0.0001550016,0.0001123183,0.0001635322,0.0001905848,0.0003630845,0.0008504272],"category_scores_gemma":[0.00007041846,0.0001874695,0.000141919,0.00009744844,0.0000791582,0.0001307348,0.00009290377,0.0002693415,0.0002966331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001507359,"about_ca_system_score_gemma":0.00009522085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005573087,"about_ca_topic_score_gemma":0.001706962,"domain_scores_codex":[0.9999491,0.000003807866,0.000004982879,0.00001231697,0.00002070454,0.000009002999],"domain_scores_gemma":[0.9999628,0.000005851336,0.00001110327,0.000002519334,0.000009860583,0.000007865591],"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":[0.00001109286,0.000005540751,0.00003092673,0.00001857221,9.444141e-7,0.00001240502,0.000002810405,0.00002393747,0.9996136,0.000008224833,0.00001194342,0.0002601082],"study_design_scores_gemma":[0.000003181531,0.00008388331,0.0007780322,0.000002034095,0.000003823809,0.00004353794,0.000005456286,0.0003974655,0.9978564,0.000005869656,0.0008177954,0.000002557873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937192,0.0004496875,0.003305324,0.00005530763,0.00002798031,0.00003628004,0.0002546646,0.0001387324,0.002012912],"genre_scores_gemma":[0.9848104,0.0004410975,0.009361758,0.00004857009,0.000009040811,0.00003507259,0.00053041,0.00003434804,0.004729429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008504272,"threshold_uncertainty_score":0.002844989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02239574012786295,"score_gpt":0.284682173338941,"score_spread":0.262286433211078,"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."}}