{"id":"W3097693763","doi":"10.1002/awwa.1616","title":"Magnetic Powdered Activated Carbon: A Promising Adsorbent for Water Treatment?","year":2020,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Adsorption; Activated carbon; Water treatment; Powdered activated carbon treatment; Magnetic separation; Reusability; Environmental science; Portable water purification; Waste management; Environmental engineering; Chemistry; Chemical engineering; Process engineering; Environmental chemistry; Materials science; Computer science; Metallurgy; Engineering; 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":[0.0002816235,0.0004475716,0.000268402,0.0004799754,0.0003118743,0.0008219707,0.0004216456,0.00124141,0.005392329],"category_scores_gemma":[0.0002104588,0.0001468981,0.0002112574,0.0003836263,0.0003788892,0.001378332,0.0002070347,0.0005152848,0.001915616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666497,"about_ca_system_score_gemma":0.0002854153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006288685,"about_ca_topic_score_gemma":0.001702683,"domain_scores_codex":[0.9998701,0.00001717891,0.000005473322,0.00003349575,0.00005311454,0.00002062182],"domain_scores_gemma":[0.9999424,0.00001155285,0.000007879231,0.000003000394,0.0000209075,0.00001425966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008445823,0.0004381757,0.001446059,0.005325318,0.00009723638,0.0015377,0.00009991624,0.001962667,0.3356649,0.04328567,0.07469156,0.5346062],"study_design_scores_gemma":[0.0001461971,0.002053686,0.003435812,0.0007168561,0.0001230525,0.002277736,0.0004396044,0.007687436,0.2768986,0.03694241,0.669161,0.0001176399],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1170888,0.6895555,0.03444414,0.09072539,0.007957577,0.0001425776,0.0005975809,0.0007777366,0.0587106],"genre_scores_gemma":[0.582413,0.3020077,0.02202683,0.008728207,0.004204382,0.0000841558,0.0004915433,0.00009379809,0.0799504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005392329,"threshold_uncertainty_score":0.01803917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034603771045895,"score_gpt":0.2135656254532904,"score_spread":0.2032195877428315,"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."}}