{"id":"W4205981044","doi":"10.21203/rs.3.rs-704571/v1","title":"Kinetic, Catalytic and Thermodynamic Properties of Immobilized Milk Clotting Enzyme on Activated Chitosan Polymer and its Application in Cheese Making","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Enthalpy; Gibbs free energy; Glutaraldehyde; Bacillus circulans; Catalysis; Immobilized enzyme; Ionic strength; Reaction rate constant; Equilibrium constant; Chitosan; Covalent bond; Michaelis–Menten kinetics; Polymer; Activation energy; Turnover number; Polymer chemistry; Chromatography; Chemical engineering; Physical chemistry; Kinetics; Organic chemistry; Thermodynamics; Enzyme assay; Enzyme","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":[0.0004808993,0.0002210785,0.0003216762,0.0002364847,0.00007461685,0.00006868877,0.0001879071,0.0003383034,0.000003743086],"category_scores_gemma":[0.0003433553,0.0001987477,0.00006387021,0.0002616157,0.0001273061,0.000007595761,0.0006950574,0.0004346822,4.970886e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003527239,"about_ca_system_score_gemma":0.0001616049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001565711,"about_ca_topic_score_gemma":0.00008633762,"domain_scores_codex":[0.9979934,0.0002978183,0.000343732,0.0007452715,0.0003204183,0.0002993876],"domain_scores_gemma":[0.9990432,0.0000275648,0.0001416224,0.0005242766,0.00020411,0.00005920827],"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":[0.000152619,0.0001197673,0.0008218249,0.0009874584,0.00004773542,0.000001564076,0.0003451323,0.0001358492,0.9957319,0.00004096953,0.000001673304,0.00161348],"study_design_scores_gemma":[0.000419718,0.0001395108,0.009105476,0.000946936,0.00001395365,0.000003418714,0.0005833158,0.005011545,0.9835594,0.000008439064,0.00001741101,0.0001908566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842252,0.0145568,0.00002487792,0.00007064465,0.00002060902,0.0008996035,0.00002138226,0.000007991505,0.000172904],"genre_scores_gemma":[0.9974619,0.00150827,0.00001577621,0.00001226992,0.00006054591,0.0002512618,0.0005901986,0.00004208027,0.00005767741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323673,"threshold_uncertainty_score":0.8104697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987452139777678,"score_gpt":0.3247367657546878,"score_spread":0.294862244356911,"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."}}