{"id":"W4200499512","doi":"10.1021/acsomega.1c04019","title":"Recycling of Waste Cotton Sheets into Three-Dimensional Biodegradable Carriers for Removal of Methylene Blue","year":2021,"lang":"en","type":"article","venue":"ACS Omega","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Adsorption; Self-healing hydrogels; Cellulose; Methylene blue; Chemical engineering; Activated carbon; Solvent; Materials science; Chemistry; Nuclear chemistry; Pulp and paper industry; Polymer chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003377756,0.0001386045,0.0002696273,0.00005118913,0.00008842132,0.000008259472,0.0001662758,0.0001115464,0.0003502989],"category_scores_gemma":[0.0001196533,0.0001229165,0.0001562206,0.000363941,0.0002205063,0.0001340742,0.0001523988,0.00008708547,0.00002624922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007971961,"about_ca_system_score_gemma":0.00004483663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002156486,"about_ca_topic_score_gemma":0.0002607893,"domain_scores_codex":[0.9986343,0.00003984354,0.0003979053,0.0003098833,0.0003901646,0.0002278976],"domain_scores_gemma":[0.9993005,0.00008334431,0.0001957433,0.0002716933,0.00004718719,0.0001014663],"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":[0.00009096973,0.00007757995,0.0007239373,0.00003038098,0.00003583416,0.00001177294,0.0001724004,0.001051046,0.9853559,0.0003437664,0.0007677833,0.01133862],"study_design_scores_gemma":[0.0007909374,0.0001212391,0.0007063698,0.0000445251,0.00004215072,0.00006824754,0.0002973017,0.003096781,0.9762083,0.00141103,0.01700886,0.0002042033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967196,0.000312356,0.000951713,0.0004037447,0.0002423565,0.0001587204,0.00006240124,0.00002019889,0.001128919],"genre_scores_gemma":[0.9754077,0.00002762694,0.02262811,0.0001340114,0.00003449448,0.00000439988,0.00003143206,0.00001522578,0.001717037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02167639,"threshold_uncertainty_score":0.5012389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651766412606369,"score_gpt":0.2483653034041601,"score_spread":0.2318476392780964,"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."}}