{"id":"W4407050582","doi":"10.1021/acs.macromol.4c01621","title":"Future Perspectives on the Automation and Biocompatibility of Molecularly Imprinted Polymers for Healthcare Applications","year":2025,"lang":"en","type":"review","venue":"Macromolecules","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"Medical Research Council; National Institute of Food and Agriculture; Research Councils UK; U.S. Department of Agriculture","keywords":"Biocompatibility; Molecularly imprinted polymer; Polymer; Nanotechnology; Health care; Automation; Polymer science; Materials science; Chemistry; Engineering; Organic chemistry; Catalysis; Selectivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141928,0.0009351688,0.0008721906,0.001208668,0.0002766969,0.001184783,0.001085746,0.001677012,0.007400923],"category_scores_gemma":[0.0009015284,0.0003460185,0.0006078302,0.001396602,0.0006901773,0.002907076,0.0007052997,0.002601282,0.003653771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008406082,"about_ca_system_score_gemma":0.001132803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007356181,"about_ca_topic_score_gemma":0.00139141,"domain_scores_codex":[0.9996889,0.00005405036,0.0000211008,0.00005145593,0.0001307047,0.00005384339],"domain_scores_gemma":[0.9994611,0.0002571933,0.00005464792,0.00002089532,0.0001518949,0.00005426082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001255025,0.0002364155,0.0001471277,0.02135899,0.00006624783,0.0004077674,0.0001215351,0.001651845,0.01744675,0.03444609,0.0555854,0.8684064],"study_design_scores_gemma":[0.00001663825,0.0001716467,0.0003660062,0.001328047,0.000038946,0.0005324106,0.00004902433,0.0002874011,0.002467248,0.006033829,0.9886873,0.00002166797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004688599,0.9923039,0.0009040798,0.001487636,0.0006491011,0.000008791227,0.00003477462,0.00002693401,0.004115943],"genre_scores_gemma":[0.002392534,0.9932141,0.001035977,0.0008332499,0.0004211231,0.00001920987,0.00004954449,0.000005878705,0.002028383],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007400923,"threshold_uncertainty_score":0.02475858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830961051942413,"score_gpt":0.3514897907135973,"score_spread":0.3231801801941731,"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."}}