{"id":"W2803531029","doi":"10.1016/j.ijbiomac.2018.05.069","title":"Development of an auto-phase separable and reusable graphene oxide-potato starch based cross-linked bio-composite adsorbent for removal of methylene blue dye","year":2018,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adsorption; Chemical engineering; Fourier transform infrared spectroscopy; Materials science; Methylene blue; Composite number; Graphene; Desorption; Zeta potential; Chemistry; Aqueous solution; Organic chemistry; Composite material; Nanoparticle","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007603107,0.000167955,0.0003061992,0.0001407059,0.00008447163,0.00003565209,0.000472615,0.0001132217,0.0004394788],"category_scores_gemma":[0.0001087276,0.0001201428,0.0001604484,0.0001425835,0.0006256257,0.0001530272,0.0001419865,0.0001042813,0.000007319663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009084863,"about_ca_system_score_gemma":0.00005842909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154788,"about_ca_topic_score_gemma":0.00001261971,"domain_scores_codex":[0.9980959,0.00009187822,0.000864937,0.0002517178,0.0004860693,0.0002095507],"domain_scores_gemma":[0.9987531,0.00008598769,0.0006326963,0.0001172866,0.0002526307,0.0001583409],"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":[0.001645378,0.0005848128,0.002293771,0.000007610302,0.00009020733,0.00003570173,0.0001038051,0.00009725902,0.9844655,0.0002421232,0.00001555281,0.01041824],"study_design_scores_gemma":[0.003236062,0.002016968,0.03348036,0.00007172976,0.00002546126,0.0003549178,0.00008047828,0.00412378,0.9479731,0.00170302,0.006700052,0.0002340962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813893,0.00005930664,0.01785819,0.0001548623,0.0001672449,0.0001481903,0.0001085496,0.0000113566,0.0001029666],"genre_scores_gemma":[0.8649846,0.00002706116,0.1347567,0.0001178898,0.00004756686,0.000002597021,0.00002328728,0.000007830955,0.00003246897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168985,"threshold_uncertainty_score":0.4899279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029867490214603,"score_gpt":0.3341733929394444,"score_spread":0.3043059027248414,"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."}}