{"id":"W2989943796","doi":"10.1016/j.scitotenv.2019.135365","title":"Graphene-based electro-conductive anti-fouling membranes for the treatment of oil sands produced water","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Stillborn and Neonatal Death Charity","keywords":"Membrane; Materials science; Fouling; Chemical engineering; Biofouling; Anode; Polyaniline; Oxide; Graphene; Composite material; Electrode; Nanotechnology; 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":[0.0001025702,0.0002853231,0.0001341065,0.0004475218,0.0002426681,0.0002985317,0.0002996775,0.000540447,0.0006915109],"category_scores_gemma":[0.0001520871,0.0001376285,0.0002970015,0.0002001363,0.0001685451,0.0003260156,0.0002845136,0.0004257088,0.0002141055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002281992,"about_ca_system_score_gemma":0.0001750622,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040786,"about_ca_topic_score_gemma":0.003621921,"domain_scores_codex":[0.9998994,0.00001374592,0.000004497245,0.0000114248,0.00004841841,0.00002245309],"domain_scores_gemma":[0.9999595,0.000007952912,0.000006944555,0.000004194056,0.00001237188,0.00000910116],"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":[0.00006669496,0.00003321147,0.00009567937,0.0001065673,0.0000175883,0.00009058826,0.00002775317,0.0005031968,0.9914207,0.0002960176,0.0001998483,0.007142195],"study_design_scores_gemma":[0.000006053956,0.0001093202,0.0007780182,0.000007106469,0.00001983969,0.00005551447,0.00003503371,0.002807948,0.9936237,0.0000958542,0.002452151,0.000009612063],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812811,0.004651548,0.008813632,0.0002852926,0.0002297494,0.00003180246,0.0001612338,0.0001798714,0.004365705],"genre_scores_gemma":[0.9920501,0.001355907,0.003769396,0.00006395499,0.00001601856,0.000007836388,0.00006325162,0.00000924861,0.002664323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9989592,"threshold_uncertainty_score":0.002313316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01311809266243032,"score_gpt":0.2224494330990397,"score_spread":0.2093313404366094,"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."}}