{"id":"W3126240902","doi":"10.1039/d0ew00971g","title":"Portable and sustainable activated carbon-based device for electro-assisted water purification","year":2021,"lang":"en","type":"article","venue":"Environmental Science Water Research & Technology","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Schematic; Activated carbon; Filtration (mathematics); Carbon fibers; Arsenic; Electrochemistry; Water treatment; Portable water purification; Environmental science; Process engineering; Waste management; Chemistry; Computer science; Materials science; Environmental engineering; Engineering; Electrode; Metallurgy; Electrical engineering; Adsorption; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00005768921,0.0003955995,0.0001737372,0.0004700677,0.0003006373,0.000225774,0.0008732441,0.001007113,0.00537921],"category_scores_gemma":[0.00007093135,0.0002019667,0.0002225833,0.0004198778,0.0001568562,0.0003433498,0.000183591,0.000390058,0.001023302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002705718,"about_ca_system_score_gemma":0.0003288996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007071671,"about_ca_topic_score_gemma":0.002134237,"domain_scores_codex":[0.9999058,0.000004164498,0.000004566353,0.00002169891,0.00005161461,0.00001213743],"domain_scores_gemma":[0.9999659,0.00000510593,0.000003981677,0.000004327259,0.0000128294,0.00000790371],"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":[0.00005939836,0.00007163006,0.0001060714,0.0001772467,0.00001034492,0.0002212402,0.00001110503,0.0007039332,0.9737316,0.001189641,0.003012761,0.02070506],"study_design_scores_gemma":[0.00004614948,0.0005367341,0.002565299,0.00002566686,0.00002182768,0.0007246906,0.00002897238,0.01622937,0.9483469,0.0004770879,0.03095776,0.00003959659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6528314,0.005517229,0.2338353,0.002357225,0.002097514,0.0009329282,0.008653222,0.007290473,0.08648462],"genre_scores_gemma":[0.8376239,0.001441274,0.1305734,0.0004213587,0.00008026524,0.0002909279,0.001391671,0.00004966885,0.0281275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00537921,"threshold_uncertainty_score":0.01799524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481676128853872,"score_gpt":0.2840126206088673,"score_spread":0.2691958593203286,"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."}}