{"id":"W2093300665","doi":"10.1002/cbic.200400026","title":"Signaling Aptamers for Monitoring Enzymatic Activity and for Inhibitor Screening","year":2004,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Aptamer; Adenosine; Enzyme; DNA; Adenosine monophosphate; Phosphatase; Chemistry; Biochemistry; Fluorescence; Alkaline phosphatase; Molecular biology; Biology; Physics","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":[0.0007357558,0.001019678,0.0005686762,0.0006014107,0.0001576774,0.0006165548,0.0005987156,0.0008569391,0.001765315],"category_scores_gemma":[0.0006900958,0.00037087,0.0003636079,0.0004966145,0.000284639,0.0004780318,0.0003114422,0.001218819,0.001152805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005505279,"about_ca_system_score_gemma":0.0002695943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001501345,"about_ca_topic_score_gemma":0.000285204,"domain_scores_codex":[0.9991104,0.0001478243,0.00006566675,0.000210027,0.0003757287,0.0000903825],"domain_scores_gemma":[0.9996145,0.0001194194,0.00009262412,0.00004370204,0.00006694996,0.00006275396],"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":[0.00007315985,0.00002147673,0.00006009763,0.00004534335,0.00000415268,0.00002110569,0.000009399228,0.0001408278,0.9935422,0.0003245574,0.0001494356,0.0056083],"study_design_scores_gemma":[0.0000101383,0.00008615621,0.0001112666,0.000003244829,0.000006248603,0.0000969807,0.000003139395,0.001239609,0.9962732,0.00008500567,0.002080115,0.000004965617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4705207,0.01000095,0.4997869,0.001055151,0.0006525313,0.0008452068,0.002924643,0.005081056,0.009132745],"genre_scores_gemma":[0.6946208,0.007688494,0.2809514,0.0006481605,0.0001611235,0.001158637,0.00314451,0.0001971142,0.01142978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001765315,"threshold_uncertainty_score":0.005905569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170283830799409,"score_gpt":0.3001530646560086,"score_spread":0.2784502263480145,"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."}}