{"id":"W2901364820","doi":"10.1007/s10965-018-1644-x","title":"Nanogels of poly-N-isopropylacrylamide, poly-N,N-diethylacrylamide and acrylic acid for controlled release of thymol","year":2018,"lang":"en","type":"article","venue":"Journal of Polymer Research","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Alberta","keywords":"Nanogel; Thymol; Materials science; Acrylic acid; Copolymer; Poly(N-isopropylacrylamide); Polymer chemistry; Polymerization; Particle size; Nuclear chemistry; Lower critical solution temperature; Salting out; Mole fraction; Radical polymerization; Aqueous solution; Chemical engineering; Chromatography; Chemistry; Nanotechnology; Polymer; Organic chemistry; Drug delivery; Physical chemistry; Composite material","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":[0.002331064,0.000206137,0.0006453474,0.0003599006,0.0001808564,0.00002953167,0.0005800193,0.0002364252,0.00005162185],"category_scores_gemma":[0.00142115,0.0001626079,0.0003065033,0.0002862435,0.001050041,0.00002005818,0.0002230167,0.0002642401,0.000005062714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003107715,"about_ca_system_score_gemma":0.0005306879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001409258,"about_ca_topic_score_gemma":0.00004163427,"domain_scores_codex":[0.9971611,0.0003445506,0.001015647,0.000321397,0.000637611,0.0005197045],"domain_scores_gemma":[0.9969226,0.0001929513,0.0006086379,0.0005794849,0.001454662,0.0002416516],"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":[0.003335947,0.0002210653,0.0004529244,0.00009028993,0.0003123652,0.00000209445,0.0001992016,2.872151e-7,0.9764488,0.0002328624,0.0006878837,0.01801623],"study_design_scores_gemma":[0.003423096,0.002223569,0.0003747032,0.00008285146,0.00007065433,0.00005402283,0.0002912536,0.00005136397,0.9894744,0.0003678433,0.003435455,0.0001507724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499826,0.04657529,0.001113151,0.001045144,0.0000798184,0.0006796503,0.00005959793,0.000004375564,0.0004603689],"genre_scores_gemma":[0.9961616,0.0008630184,0.001078102,0.00007670278,0.0005202435,0.00007048238,0.00000498065,0.00005107931,0.001173827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04617896,"threshold_uncertainty_score":0.6630957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702516331171522,"score_gpt":0.3360963823712376,"score_spread":0.2990712190595223,"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."}}