{"id":"W3089392441","doi":"10.1016/j.heliyon.2020.e05127","title":"Development of superhydrophillic tannic acid-crosslinked graphene oxide membranes for efficient treatment of oil contaminated water with enhanced stability","year":2020,"lang":"en","type":"article","venue":"Heliyon","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indian Institute of Technology Roorkee; Tides Canada","keywords":"Tannic acid; Graphene; Membrane; Oxide; Water treatment; Contaminated water; Materials science; Chemical engineering; Water contamination; Chemistry; Contamination; Nanotechnology; Organic chemistry; Environmental chemistry; Environmental engineering; Biochemistry; Environmental science; Engineering; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001168069,0.0002681181,0.0001548172,0.0002468002,0.0001280294,0.0001929882,0.0002221277,0.0004706564,0.0003328022],"category_scores_gemma":[0.000114964,0.0001282886,0.000298388,0.000157406,0.0001035366,0.0003435434,0.0002116259,0.0003808429,0.0001467207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967983,"about_ca_system_score_gemma":0.0001644976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005458897,"about_ca_topic_score_gemma":0.001299162,"domain_scores_codex":[0.9999447,0.000006745767,0.000004100452,0.000009715405,0.00002113174,0.0000136951],"domain_scores_gemma":[0.9999646,0.000004469071,0.00001016746,0.000002625283,0.000009593531,0.000008669479],"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":[0.000008575339,0.000008848671,0.00002832939,0.00003033338,0.000003653124,0.00002429437,0.000006231069,0.0001142394,0.9985127,0.00006651768,0.0000145358,0.00118182],"study_design_scores_gemma":[0.000004190755,0.00008357094,0.0006648977,0.000004756289,0.000008593165,0.00005428354,0.00001083513,0.001587018,0.9962436,0.00004172763,0.001291789,0.000004887998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787917,0.004164486,0.01506879,0.0001833125,0.00005995341,0.00005132833,0.0001665072,0.0001220077,0.001391902],"genre_scores_gemma":[0.9812669,0.002396533,0.01437193,0.00006789183,0.00001127444,0.00003073286,0.0001517597,0.00001509477,0.001687943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005458897,"threshold_uncertainty_score":0.001427889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417101879022598,"score_gpt":0.2370169142514264,"score_spread":0.2128458954612004,"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."}}