{"id":"W4404301394","doi":"10.1080/03067319.2024.2426730","title":"Preparation and characterisation of chitosan/bacterial <i>Escherichia coli</i> biocomposite for malachite green dye removal: modeling and optimisation of the adsorption process","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental & Analytical Chemistry","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Malachite green; Biocomposite; Chitosan; Adsorption; Escherichia coli; Chemistry; Malachite; Nuclear chemistry; Pulp and paper industry; Chemical engineering; Microbiology; Materials science; Biochemistry; Biology; Organic chemistry; Composite material; Composite number; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002889459,0.0004254143,0.0002707147,0.0002710148,0.0001295915,0.0003057366,0.0003475616,0.0005278016,0.0004697577],"category_scores_gemma":[0.0002701967,0.0002246056,0.0004754888,0.0003773515,0.0001794428,0.0003295122,0.0001610744,0.000294981,0.0002592326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005158446,"about_ca_system_score_gemma":0.0003464367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002651019,"about_ca_topic_score_gemma":0.002670725,"domain_scores_codex":[0.9998301,0.00001577167,0.00001265395,0.00002821661,0.00008918251,0.00002406781],"domain_scores_gemma":[0.9998679,0.00002730737,0.00003693261,0.00001108304,0.00004836885,0.000008280815],"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":[0.00003645605,0.00002905144,0.0003909952,0.0001126812,0.000007089982,0.0000704515,0.00001413299,0.005062017,0.9920884,0.0001020918,0.00003694249,0.002049809],"study_design_scores_gemma":[0.000007617596,0.0001248329,0.001596133,0.000006386026,0.00001632142,0.00006860964,0.00001570103,0.03455973,0.9626236,0.00004451208,0.000925193,0.00001147123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514014,0.0008639469,0.04569593,0.0001103496,0.0000233863,0.0000906081,0.0002387048,0.0001361166,0.001439513],"genre_scores_gemma":[0.9645657,0.001075917,0.032409,0.00003818852,0.000007198283,0.00008594566,0.0002888952,0.00003574605,0.001493388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002651019,"threshold_uncertainty_score":0.005271196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00814890243980061,"score_gpt":0.2572626714083462,"score_spread":0.2491137689685456,"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."}}