{"id":"W2911323790","doi":"10.1002/smll.201805246","title":"Molecular Imprinting with Functional DNA","year":2019,"lang":"en","type":"review","venue":"Small","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Imprinting (psychology); Aptamer; Molecularly imprinted polymer; DNA; Molecular imprinting; Oligonucleotide; Polymer; Molecular recognition; Combinatorial chemistry; Nanotechnology; Materials science; Chemistry; Catalysis; Molecule; Biology; Molecular biology; Biochemistry; Gene; Organic chemistry; Selectivity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005041463,0.001542771,0.001097336,0.002004903,0.000194399,0.0008057975,0.001204635,0.001221093,0.00403556],"category_scores_gemma":[0.0004960936,0.0005146023,0.0005595064,0.001772311,0.0006134391,0.001296198,0.0008916916,0.001944694,0.005166417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00068335,"about_ca_system_score_gemma":0.0004176497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004238553,"about_ca_topic_score_gemma":0.0005010109,"domain_scores_codex":[0.9995534,0.00006104042,0.00003164333,0.0001203593,0.0001812451,0.0000523172],"domain_scores_gemma":[0.9998171,0.00008313726,0.00003501142,0.00001248989,0.00003773001,0.00001446487],"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":[0.00005685682,0.0001290376,0.0001435694,0.01634412,0.0001407648,0.0004964885,0.0001064392,0.001001237,0.09648066,0.01440004,0.02537807,0.8453227],"study_design_scores_gemma":[0.00001372901,0.0001046105,0.0002845161,0.0006488139,0.0000515072,0.001208502,0.00001930319,0.0004746716,0.05689619,0.001840817,0.9384102,0.00004718334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001320785,0.9690114,0.01158234,0.0004140378,0.0009946274,0.00008422642,0.0001515178,0.0002243439,0.0162167],"genre_scores_gemma":[0.01560433,0.9550195,0.01007793,0.00121644,0.0007902652,0.000218653,0.0004649985,0.00004259477,0.01656526],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00403556,"threshold_uncertainty_score":0.01350027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287862518204921,"score_gpt":0.292552458386626,"score_spread":0.2596738332045768,"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."}}