{"id":"W2896204203","doi":"10.1021/acsomega.8b01871","title":"Graphene Oxide–Chitosan Composite Material for Treatment of a Model Dye Effluent","year":2018,"lang":"en","type":"article","venue":"ACS Omega","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Chitosan; Oxide; Composite number; Effluent; Materials science; Chemical engineering; Composite material; Nanotechnology; Waste management; Engineering; 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":[0.0001050202,0.0005570451,0.0002040661,0.0004077435,0.0001918874,0.0001702348,0.0002494265,0.0004390043,0.001233012],"category_scores_gemma":[0.0001070241,0.0001301678,0.0003435357,0.0002641535,0.0001277662,0.0001539729,0.0001034441,0.000352431,0.0002525467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004739203,"about_ca_system_score_gemma":0.0003093168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003285011,"about_ca_topic_score_gemma":0.008969185,"domain_scores_codex":[0.9998947,0.000007026872,0.000006386116,0.00002288152,0.00005121672,0.00001766212],"domain_scores_gemma":[0.9999428,0.000008901442,0.00001131176,0.000004889333,0.00002094171,0.00001111794],"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":[0.00001688912,0.00001021012,0.00003498018,0.0000303683,0.000002667976,0.00002465399,0.000001899203,0.0000650595,0.999266,0.00001600842,0.0000181909,0.0005131761],"study_design_scores_gemma":[0.000003231125,0.00009381343,0.000922783,0.000002641229,0.00001177608,0.00005021337,0.000004762163,0.0008222593,0.997414,0.000007718888,0.0006622545,0.000004528146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981787,0.0009603379,0.01276114,0.0001604885,0.00008368742,0.000171299,0.0007713368,0.0003048384,0.002999878],"genre_scores_gemma":[0.9839635,0.0005541473,0.01198018,0.00006156159,0.00001094502,0.00004905216,0.0004114481,0.00002686458,0.002942345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003285011,"threshold_uncertainty_score":0.006531775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570994788705355,"score_gpt":0.2409270616717694,"score_spread":0.2252171137847159,"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."}}