{"id":"W3090297287","doi":"10.2144/btn-2020-0091","title":"Molecularly Imprinted Polymers in Biological Applications","year":2020,"lang":"en","type":"review","venue":"BioTechniques","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Queen's University; Allmänna Sjukhusets i Malmö Stiftelse för Bekämpande av Cancer; Horizon 2020 Framework Programme; Malmö Högskola; Bundesanstalt für Materialforschung und -Prüfung","keywords":"Molecularly imprinted polymer; Glycan; Molecular imprinting; Nanotechnology; Template; Computational biology; Chemistry; Biology; Materials science; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006497326,0.001279555,0.001032614,0.002026975,0.0002891912,0.001069464,0.0009491131,0.001370468,0.006903632],"category_scores_gemma":[0.0005482947,0.0005243102,0.000534843,0.00239561,0.0006530153,0.001734201,0.001023652,0.002799356,0.006845285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025258,"about_ca_system_score_gemma":0.0006922623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005691232,"about_ca_topic_score_gemma":0.0006144851,"domain_scores_codex":[0.9996161,0.00004594733,0.00002568563,0.00007788499,0.0001857539,0.00004847565],"domain_scores_gemma":[0.9997684,0.00009522522,0.00003549023,0.00001286495,0.00006222188,0.00002573442],"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":[0.00004502922,0.0001321437,0.00009475926,0.01176287,0.00005748388,0.0002092597,0.00006293478,0.0008934145,0.02072604,0.01384982,0.03714081,0.9150254],"study_design_scores_gemma":[0.000005618153,0.00005925337,0.0001609679,0.0007751436,0.00002488267,0.0004439761,0.00001457082,0.000159251,0.004773088,0.002164112,0.9914013,0.00001792615],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003910014,0.9886048,0.00175787,0.000316158,0.0007373232,0.00002209298,0.00005549685,0.00006931809,0.008046015],"genre_scores_gemma":[0.003139904,0.987341,0.001822334,0.0004685206,0.0004243437,0.00003790877,0.00009992956,0.00001255907,0.006653586],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006903632,"threshold_uncertainty_score":0.02309489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07701773101907747,"score_gpt":0.3776433817039814,"score_spread":0.3006256506849039,"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."}}