{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001563305,0.0001641596,0.0001698333,0.00003445778,0.0001425363,0.00002989054,0.00007414616,0.0001463277,1.125516e-7],"category_scores_gemma":[0.0001351312,0.0001598598,0.0001274448,0.00006006839,0.00007095458,0.000005917747,0.00004856233,0.00005316638,1.263251e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002072968,"about_ca_system_score_gemma":0.00002525769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003699301,"about_ca_topic_score_gemma":0.000001167238,"domain_scores_codex":[0.9991876,0.000006336504,0.000138705,0.0003627356,0.00006788505,0.0002367686],"domain_scores_gemma":[0.9995508,0.00002228842,0.00008995945,0.0001774696,0.0000901116,0.00006941688],"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":[0.00008687173,0.00002586497,0.0000674156,0.00006039006,0.00004953796,2.287327e-7,0.00002037119,0.000008224244,0.9910595,0.00001436541,0.00003667686,0.008570521],"study_design_scores_gemma":[0.0006938187,0.0001736782,0.00004461642,0.00006477178,0.00004737674,0.000004263201,0.00009685015,0.00005430432,0.9977003,0.0002343844,0.0006712502,0.0002143597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9073132,0.0001639754,0.09197972,0.0001253717,0.00004497467,0.0002939963,0.00001516231,0.00004199052,0.00002158225],"genre_scores_gemma":[0.8918324,0.00003589565,0.107493,0.00004398951,0.0003965959,0.00005689661,0.00003703821,0.0000250268,0.00007920695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01551329,"threshold_uncertainty_score":0.6518894,"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."}}