{"id":"W2325056412","doi":"10.1021/sc500479b","title":"Development of a Recyclable Remediation System for Gaseous BTEX: Combination of Iron Oxides Nanoparticles Adsorbents and Electrochemistry","year":2014,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Catalytic Processes in Materials Science","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"BTEX; Adsorption; Nanoparticle; Ethylbenzene; Chemical engineering; Electrochemistry; Hematite; Materials science; Stripping (fiber); Toluene; Chemistry; Inorganic chemistry; Nanotechnology; Electrode; Organic chemistry; Metallurgy","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":[0.0002156601,0.0005993479,0.0005921848,0.0003335992,0.0002391201,0.0003687415,0.0005112615,0.0006275241,0.0003625614],"category_scores_gemma":[0.0001293729,0.0002815865,0.0003809124,0.0001550986,0.0002234409,0.0004398402,0.0002855109,0.0003897749,0.0002755167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003863243,"about_ca_system_score_gemma":0.0003843928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001191071,"about_ca_topic_score_gemma":0.002421265,"domain_scores_codex":[0.9998222,0.00001445192,0.0000142728,0.00004258302,0.00007482609,0.00003167865],"domain_scores_gemma":[0.9999484,0.000007235813,0.000008670876,0.000006389926,0.00001955955,0.000009682568],"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":[0.00001225603,0.00002255008,0.00006308858,0.00003542028,0.000004796467,0.00002977026,0.00000628728,0.0001388047,0.997617,0.00004101092,0.00001368391,0.002015457],"study_design_scores_gemma":[0.000007445674,0.0001148579,0.0004530044,0.000002112166,0.00001455943,0.00006122551,0.000005923219,0.001808351,0.996725,0.00001647733,0.0007856408,0.000005339896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9348444,0.001607144,0.06058042,0.0002580481,0.00007273051,0.0002228969,0.0001370111,0.0006110343,0.001666337],"genre_scores_gemma":[0.9368594,0.001213057,0.05747899,0.0001004265,0.00002206496,0.0001158515,0.000222605,0.00006743704,0.003920107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001191071,"threshold_uncertainty_score":0.002803028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003716927153279562,"score_gpt":0.192035750490772,"score_spread":0.1883188233374924,"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."}}