{"id":"W4282920964","doi":"10.21203/rs.3.rs-1740243/v1","title":"Immobilized Cold-Active Enzymes onto Magnetic Chitosan Microparticles as a Highly Stable and Reusable Carrier for p-xylene Biodegradation in Soil","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Glutaraldehyde; Chitosan; Immobilized enzyme; Fourier transform infrared spectroscopy; Thermal stability; Chemistry; Biodegradation; Xylene; Nuclear chemistry; Chromatography; Chemical engineering; Materials science; Enzyme; Organic chemistry; Toluene","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":[0.0001551937,0.0003381852,0.0001980508,0.0002539253,0.0001220878,0.000283652,0.0002639986,0.0003590052,0.0004805805],"category_scores_gemma":[0.000154549,0.0001500017,0.0002400141,0.0001709411,0.0001821899,0.0001965305,0.0001935438,0.0002828225,0.000235333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002729563,"about_ca_system_score_gemma":0.000158128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206329,"about_ca_topic_score_gemma":0.001660855,"domain_scores_codex":[0.9998919,0.00000896849,0.000007429568,0.00002667544,0.00003928941,0.00002577328],"domain_scores_gemma":[0.999938,0.00001009108,0.00002055708,0.000005502076,0.00001290675,0.00001295643],"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":[0.00001524329,0.000005511488,0.0000383965,0.00001459882,0.000002203108,0.00001499,0.00000360707,0.0000388577,0.9993472,0.00001508075,0.00001097953,0.0004933496],"study_design_scores_gemma":[0.000005183294,0.00008289032,0.0009595975,0.000002231089,0.000009168575,0.0000384909,0.000005883768,0.0006863224,0.9978156,0.000007865637,0.0003832923,0.0000033735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921992,0.001030211,0.006052621,0.00006578644,0.00002470961,0.00002223815,0.0000824969,0.00005567835,0.0004670167],"genre_scores_gemma":[0.9935173,0.0004665349,0.004019049,0.00002116847,0.00001280786,0.00001581599,0.0001373869,0.0000166464,0.001793371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001206329,"threshold_uncertainty_score":0.00239861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685699680248002,"score_gpt":0.3391077349862306,"score_spread":0.3122507381837506,"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."}}