{"id":"W4323658135","doi":"10.1002/anie.202213567","title":"Monitoring Cardiac Biomarkers with Aptamer‐Based Molecular Pendulum Sensors","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; York University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Aptamer; Molecular biomarkers; Computational biology; Medicine; Nanotechnology; Internal medicine; Biology; Materials science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000126812,0.0001568207,0.0001132252,0.0001207697,0.00006314665,0.00003330376,0.0001298409,0.0001133275,0.000005582066],"category_scores_gemma":[0.00005875225,0.0001416077,0.0001236079,0.0002224624,0.00007878016,0.00001029126,0.0000452373,0.00007613688,0.000009923042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004041329,"about_ca_system_score_gemma":0.00003010282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001530737,"about_ca_topic_score_gemma":0.000002073454,"domain_scores_codex":[0.9990095,0.00001992744,0.0001447266,0.0003425741,0.0002959532,0.0001873499],"domain_scores_gemma":[0.9994353,0.00001338854,0.00008978253,0.0002061758,0.0001966474,0.00005870491],"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":[0.00007251194,0.0000210536,0.0017179,0.00000660812,0.0001833165,0.00002032516,0.000005091478,0.00006333896,0.9936655,0.000008324115,0.003353969,0.0008821294],"study_design_scores_gemma":[0.0002325746,0.00006930892,0.0009810197,0.00004772588,0.00003397784,0.000005175304,0.00008058501,0.0001000095,0.987757,0.00003426686,0.01046681,0.0001915213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874753,0.00007939711,0.006492275,0.001282792,0.0007731637,0.0001606427,0.0001351734,0.0002553228,0.003345914],"genre_scores_gemma":[0.9947703,0.0001500894,0.002310389,0.00009386254,0.0009064756,0.00002840636,0.001388174,0.00002661206,0.0003256529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007295018,"threshold_uncertainty_score":0.5774594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073985515179786,"score_gpt":0.2730802435383564,"score_spread":0.2623403883865585,"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."}}