{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011619,0.000351924,0.0006316334,0.00007777189,0.00004361475,0.00002721844,0.000182793,0.0003567383,0.000002786039],"category_scores_gemma":[0.00002471728,0.0002465308,0.0004093206,0.0001402511,0.00005812374,0.000001096387,0.0001345636,0.0002011084,0.00002189608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002189178,"about_ca_system_score_gemma":0.0001617751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000293949,"about_ca_topic_score_gemma":0.000007423786,"domain_scores_codex":[0.9987369,0.00005875901,0.0002575466,0.0005820242,0.0001193503,0.0002454396],"domain_scores_gemma":[0.9990637,0.000009933793,0.000234442,0.0005543624,0.00008475368,0.00005284597],"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":[0.00001697072,0.0000408161,0.000009288227,0.002600788,0.0005969455,0.0000209341,0.000001061496,0.000003004191,0.01008495,0.00008440721,0.0002545045,0.9862863],"study_design_scores_gemma":[0.00008046913,0.0001268357,0.000001608834,0.001079504,0.0005291863,0.0000832094,0.000002581248,0.000001484356,0.008075776,0.000007107468,0.9896227,0.0003895382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002673764,0.9934868,0.004176726,0.000008828082,0.00007288637,0.0003009385,0.00001842287,0.00005110102,0.001616927],"genre_scores_gemma":[0.000404096,0.9925253,0.004646044,0.00008454251,0.0002091904,0.00002317501,0.0006574585,0.0000707434,0.001379439],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9893682,"threshold_uncertainty_score":0.9999987,"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."}}