{"id":"W2113522223","doi":"10.1039/c3cs60276a","title":"Controlling morphology and porosity to improve performance of molecularly imprinted sol–gel silica","year":2013,"lang":"en","type":"review","venue":"Chemical Society Reviews","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":368,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nanotechnology; Molecular imprinting; Mesoporous material; Imprinting (psychology); Materials science; Polymer; Porosity; Mesoporous silica; Sol-gel; Nanometre; Molecularly imprinted polymer; Chemical engineering; Chemistry; Organic chemistry; Selectivity; Catalysis; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00121712,0.0005864017,0.004124577,0.00002345773,0.00008125717,0.00008319372,0.0006604549,0.0005136385,0.0006857712],"category_scores_gemma":[0.0002123015,0.0004084599,0.001096688,0.0001827581,0.0002266162,0.00009300591,0.000528816,0.0002929904,0.000445546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009800699,"about_ca_system_score_gemma":0.00008605669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004591874,"about_ca_topic_score_gemma":2.202396e-7,"domain_scores_codex":[0.9965664,0.000174118,0.001628427,0.0008790592,0.0002363488,0.0005156873],"domain_scores_gemma":[0.9976506,0.00009679285,0.001036459,0.0008158229,0.0001303712,0.0002700091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004378843,0.00003373955,9.919622e-7,0.01827336,0.0000382985,5.074435e-7,0.00005176836,2.445976e-8,0.8103939,0.000006270413,0.0005456362,0.1706511],"study_design_scores_gemma":[0.0002971,0.0001045572,7.603879e-7,0.004565837,0.001105608,0.00003228796,0.000007745267,0.0000214588,0.267258,0.00001464853,0.7258767,0.0007153347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04239475,0.9551886,0.000184537,0.00001994721,0.0001839071,0.00186024,0.00009141003,0.00003800313,0.00003865817],"genre_scores_gemma":[0.0002787759,0.9927653,0.005762824,0.0002251589,0.0001555511,0.0005590372,0.00008527955,0.0000487949,0.0001192666],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.725331,"threshold_uncertainty_score":0.9998367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698292543994935,"score_gpt":0.286059367674431,"score_spread":0.2590764422344816,"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."}}