{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003185184,0.0004488202,0.0002751075,0.0003341674,0.0001056677,0.000302007,0.0005018366,0.0007417002,0.0005724754],"category_scores_gemma":[0.0004538223,0.0002162305,0.0001484708,0.0001656112,0.0001790765,0.0003609083,0.0003150492,0.0004266321,0.000314221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206224,"about_ca_system_score_gemma":0.0001128993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001522591,"about_ca_topic_score_gemma":0.0002202623,"domain_scores_codex":[0.9997098,0.00006082693,0.0000148633,0.00007402717,0.0001086366,0.00003175799],"domain_scores_gemma":[0.9998573,0.00004260686,0.0000442879,0.000009664334,0.00002844637,0.00001756641],"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":[0.00005701362,0.00002329785,0.0001699986,0.00003633118,0.000005705618,0.00004143828,0.00001387453,0.000223297,0.9935297,0.000151324,0.0001102618,0.005637853],"study_design_scores_gemma":[0.0000152137,0.0002212686,0.0007489129,0.000004405977,0.00001060711,0.0001485044,0.00000657848,0.007021411,0.9905414,0.00008839958,0.001177641,0.00001564978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8719314,0.006184225,0.1173629,0.0005287789,0.0003160809,0.0001584998,0.0004725327,0.0007219969,0.002323506],"genre_scores_gemma":[0.9250976,0.00185529,0.06829032,0.0004139571,0.0001167999,0.0001572196,0.0002687637,0.0000274588,0.003772451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007417002,"threshold_uncertainty_score":0.001915097,"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."}}