{"id":"W4298132438","doi":"10.1002/ange.202212496","title":"Development of Nucleic‐Acid‐Based Electrochemical Biosensors for Clinical Applications","year":2022,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nucleic acid; Biosensor; Chemistry; DNA; Combinatorial chemistry; Small molecule; Nanotechnology; Nucleic acid structure; Biochemistry; RNA; Materials science","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":[0.0002711038,0.000123928,0.0001889684,0.00003850833,0.0001622141,0.000004650904,0.0001878785,0.00009457821,0.00000644023],"category_scores_gemma":[0.00004435263,0.0001228122,0.0001919558,0.0001428229,0.00008634626,0.000001279573,0.0001010908,0.00009770331,5.838219e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002746427,"about_ca_system_score_gemma":0.0001183756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.81969e-7,"about_ca_topic_score_gemma":0.000001978709,"domain_scores_codex":[0.9989463,0.00002109744,0.0003626088,0.0003507894,0.0001285773,0.0001906159],"domain_scores_gemma":[0.9993625,0.00002315704,0.000159647,0.0003017439,0.00009553911,0.00005740668],"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":[0.0001094752,0.000171734,0.0001517565,0.00001559726,0.00005346663,1.976392e-7,0.000007721535,6.293036e-7,0.9951823,0.00001554979,0.001989666,0.002301934],"study_design_scores_gemma":[0.0002777644,0.0001024349,0.00001714266,0.00000269489,0.00002337503,0.000002016761,0.00003427725,0.000008418785,0.7556493,0.00003033554,0.2437295,0.0001227907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533145,0.0006836684,0.0434382,0.0003465456,0.00005244482,0.001100397,0.0001530536,0.0001113804,0.0007998345],"genre_scores_gemma":[0.9025575,0.00003365276,0.09572183,0.0003190886,0.000117989,0.0003671928,0.0007086209,0.00002154261,0.0001525879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2417398,"threshold_uncertainty_score":0.5008137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02941048146224204,"score_gpt":0.3302347932421085,"score_spread":0.3008243117798665,"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."}}