{"id":"W2554985246","doi":"10.1021/acs.macromol.6b01270","title":"PEGMA-Based Microgels: A Thermoresponsive Support for Enzyme Reactions","year":2016,"lang":"en","type":"article","venue":"Macromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ethylene glycol; Polymer chemistry; Self-healing hydrogels; Methacrylate; Copolymer; Chemistry; Biocompatibility; Aqueous solution; Lower critical solution temperature; Immobilized enzyme; Chemical engineering; Polymer; Organic chemistry; Enzyme","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":[0.0002110102,0.0002224382,0.0001697838,0.00007019899,0.000171324,0.00003067818,0.0003161038,0.0001646399,0.0001266132],"category_scores_gemma":[0.0003219254,0.0001658215,0.0002011928,0.00008094054,0.0001881236,0.000005026558,0.00007072787,0.00004585069,0.0001358071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003615715,"about_ca_system_score_gemma":0.0002181246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002267823,"about_ca_topic_score_gemma":0.0000336582,"domain_scores_codex":[0.9986259,0.00008381434,0.0002800945,0.0005157001,0.0001174808,0.0003770129],"domain_scores_gemma":[0.9988536,0.00007293261,0.0001157716,0.0006733206,0.0001678479,0.0001165228],"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":[0.0001731248,0.00008970876,0.00008615913,0.00001507984,0.00006314206,0.00000317358,0.00001928939,0.000004031303,0.9879485,0.0002360686,0.003152003,0.008209717],"study_design_scores_gemma":[0.0004734033,0.0001488968,0.0001614109,0.00001611405,0.0000274232,0.00002094565,0.00002362178,0.0000190812,0.7140433,0.0001662131,0.2846978,0.0002018064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8715674,0.0006287145,0.1185753,0.004411239,0.0001455877,0.001319764,0.0008212453,0.000136376,0.002394409],"genre_scores_gemma":[0.9903353,0.00004688627,0.004207213,0.0007779995,0.0001547009,0.000833758,0.0001341174,0.00007473072,0.003435325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2815458,"threshold_uncertainty_score":0.6762006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659258313449848,"score_gpt":0.2538220239508956,"score_spread":0.2372294408163971,"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."}}