{"id":"W3136972916","doi":"10.1680/jenes.20.00055","title":"Production of low-price carbon for removal of aluminium ions in potable water","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Activated carbon; Adsorption; Aluminium; Water treatment; Bagasse; Fourier transform infrared spectroscopy; Materials science; Carbon fibers; Pulp and paper industry; Chemistry; Environmental chemistry; Chemical engineering; Waste management; Environmental science; Environmental engineering; Metallurgy; Composite material; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001374734,0.0003883331,0.0002120125,0.000716959,0.0002496951,0.0003686114,0.0004249413,0.0005805826,0.001694538],"category_scores_gemma":[0.0002333204,0.0001421236,0.0004085361,0.0008224756,0.0001333447,0.0003525043,0.0002476986,0.0003942004,0.0005326782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003358538,"about_ca_system_score_gemma":0.0002507372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308461,"about_ca_topic_score_gemma":0.004261038,"domain_scores_codex":[0.9998368,0.0000102139,0.000006902952,0.00002359827,0.0001034791,0.00001901388],"domain_scores_gemma":[0.9998928,0.00001240484,0.00002431612,0.00001099766,0.00003933796,0.00002014924],"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":[0.00002777297,0.00004383028,0.0001913973,0.0002208258,0.00001107931,0.0001833871,0.00001120571,0.0003066003,0.9918728,0.00010126,0.0001220287,0.006907621],"study_design_scores_gemma":[0.00001191088,0.0001855203,0.002757704,0.00002047909,0.00002160112,0.0001635906,0.00003102953,0.001368707,0.9906145,0.00007003424,0.004745802,0.000009043275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802479,0.003768808,0.008779747,0.0001942515,0.0001147868,0.0001551398,0.0005739943,0.0002030832,0.005962288],"genre_scores_gemma":[0.9823022,0.00185628,0.01057405,0.00005415803,0.00001511183,0.00005969156,0.0004782441,0.00003768683,0.004622453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001694538,"threshold_uncertainty_score":0.005668759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005161850124516519,"score_gpt":0.1878386094291887,"score_spread":0.1826767593046721,"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."}}