{"id":"W4255548048","doi":"10.1002/ange.201702859","title":"Sol–Gel‐Derived Biohybrid Materials Incorporating Long‐Chain DNA Aptamers","year":2017,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aptamer; Nanotechnology; Molecular recognition; Small molecule; DNA; Biosensor; Mesoporous material; Materials science; Mesoporous silica; Nanometre; Hybrid material; Combinatorial chemistry; Molecule; Chemistry; Biology; Biochemistry; Organic chemistry; Molecular biology","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":[0.0002103551,0.0004005227,0.000173849,0.0003803187,0.0001577353,0.0004154569,0.0002236427,0.0004780083,0.001020952],"category_scores_gemma":[0.0001400357,0.0002956703,0.0002322927,0.0001363641,0.0002997966,0.000309392,0.0002301046,0.0003738934,0.0006258881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004688505,"about_ca_system_score_gemma":0.0001599029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002370792,"about_ca_topic_score_gemma":0.0006138623,"domain_scores_codex":[0.9998869,0.00001566066,0.000009251034,0.00002923187,0.00003521674,0.00002377162],"domain_scores_gemma":[0.9998717,0.00004267188,0.00002651587,0.00001235498,0.00001851553,0.000028316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001218776,0.000008192455,0.00001520792,0.00001250242,0.000003184013,0.00001130853,0.000005740588,0.00006850358,0.9994247,0.0000687431,0.00001949223,0.0003503502],"study_design_scores_gemma":[0.000007433931,0.00004887518,0.0002765756,0.000001514498,0.00000987649,0.00004414359,0.00000577691,0.0007372691,0.9973677,0.00003811641,0.001458019,0.000004666058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720193,0.001532115,0.02134589,0.0002550451,0.0001006083,0.00008002751,0.0003634292,0.0007381865,0.003565486],"genre_scores_gemma":[0.9813108,0.0004205592,0.01369705,0.0001248139,0.0000298128,0.00008404056,0.0003599481,0.00007793962,0.003895034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001020952,"threshold_uncertainty_score":0.003415406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649198838676898,"score_gpt":0.2754421644544281,"score_spread":0.2589501760676591,"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."}}