{"id":"W4323654511","doi":"10.1002/ange.202213567","title":"Monitoring Cardiac Biomarkers with Aptamer‐Based Molecular Pendulum Sensors","year":2023,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"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; Biosensor; Chemistry; Analyte; Nanotechnology; Reagent; Microfluidics; Combinatorial chemistry; Materials science; Chromatography","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":[0.0003363704,0.0004265418,0.0002412346,0.0003437405,0.00009796049,0.0002845413,0.0004100716,0.000650016,0.0006242459],"category_scores_gemma":[0.0004366463,0.0001835572,0.0001259317,0.0001397614,0.0001855453,0.0003015711,0.000257868,0.0003564327,0.0002746369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002044732,"about_ca_system_score_gemma":0.0001118856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001730565,"about_ca_topic_score_gemma":0.0002370451,"domain_scores_codex":[0.9997713,0.00005571058,0.00001206525,0.00005875373,0.00007780339,0.00002437195],"domain_scores_gemma":[0.9998356,0.00004946298,0.00004993876,0.000009906076,0.00003369031,0.00002133821],"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":[0.00007133382,0.00002810443,0.0002881277,0.0000297689,0.000006254801,0.00004614173,0.00001393498,0.0002663638,0.9944597,0.0001464296,0.0001369576,0.004506815],"study_design_scores_gemma":[0.00001834934,0.0002277087,0.0008758622,0.000004496342,0.00001066937,0.0001274237,0.000007010904,0.009210762,0.9884251,0.00008063058,0.0009965769,0.00001522695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161787,0.003605385,0.07669963,0.0004418043,0.000255618,0.000126374,0.00040018,0.0005935829,0.001698914],"genre_scores_gemma":[0.9526083,0.0007623907,0.04330244,0.0003237631,0.00006841867,0.0001084957,0.0001771024,0.00001737673,0.002631723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000650016,"threshold_uncertainty_score":0.002088308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212089418412296,"score_gpt":0.2633863851141229,"score_spread":0.2512654909299999,"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."}}