{"id":"W2103876253","doi":"10.1002/anie.200503345","title":"Ultrasensitive Detection of Proteins by Amplification of Affinity Aptamers","year":2006,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Aptamer; Protein detection; Chemistry; Computational biology; Molecular biology; Nanotechnology; Biology; Materials science","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":[0.000469318,0.0006276353,0.0002738355,0.0003972134,0.0002251191,0.0005617815,0.0007063494,0.0007108343,0.001856269],"category_scores_gemma":[0.0005270636,0.0005712833,0.0002427091,0.0002968846,0.0002795335,0.000547514,0.000631677,0.001051765,0.001686137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003855143,"about_ca_system_score_gemma":0.0001731374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001965091,"about_ca_topic_score_gemma":0.0005117545,"domain_scores_codex":[0.9993212,0.00008082003,0.00004087672,0.0001345203,0.0002831324,0.000139368],"domain_scores_gemma":[0.9997479,0.00009651612,0.00003690804,0.00003506615,0.00005616758,0.00002744342],"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":[0.0000270261,0.00001339911,0.00004034839,0.00003217916,0.000001903499,0.00001686049,0.00002263916,0.00005547148,0.9940147,0.0004284542,0.0002302465,0.005116819],"study_design_scores_gemma":[0.000003589035,0.00002086888,0.0001604557,0.000001981363,0.000001906726,0.0000473257,0.00000370244,0.0009424607,0.9966097,0.0001501866,0.00205458,0.000003230848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5280865,0.007181783,0.4403346,0.001215165,0.0007359583,0.0002693364,0.000574027,0.003723253,0.01787926],"genre_scores_gemma":[0.8369678,0.003434925,0.1268348,0.0008833731,0.0001280579,0.0002320117,0.0007652945,0.0002329162,0.0305209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001856269,"threshold_uncertainty_score":0.00620985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006056981561037986,"score_gpt":0.2428897479366043,"score_spread":0.2368327663755663,"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."}}