{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003393881,0.001044555,0.0008599205,0.001213445,0.000173541,0.001201747,0.001008512,0.002210188,0.001570276],"category_scores_gemma":[0.002671827,0.0006897933,0.0006382889,0.0007678991,0.0006064235,0.0009410814,0.0007104625,0.002011459,0.001716703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046848,"about_ca_system_score_gemma":0.0006135216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004153932,"about_ca_topic_score_gemma":0.0005345005,"domain_scores_codex":[0.9985655,0.0005048767,0.0001019897,0.0002582864,0.0004845961,0.00008478949],"domain_scores_gemma":[0.9991689,0.0002955105,0.00008796441,0.00003647542,0.0003580265,0.00005314273],"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":[0.0002575809,0.0001869478,0.001466853,0.002997962,0.0001902078,0.000601147,0.0002218712,0.001021552,0.6407943,0.01710373,0.008912996,0.3262447],"study_design_scores_gemma":[0.0001104901,0.001451906,0.002432201,0.00085174,0.00024182,0.003356074,0.0001097978,0.01061897,0.6667051,0.005428183,0.3085436,0.0001500694],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.02820991,0.6875352,0.2556339,0.007558304,0.003856116,0.0005056965,0.0003942395,0.0007597988,0.01554686],"genre_scores_gemma":[0.2538478,0.3823562,0.3387544,0.00669127,0.002350506,0.0009813899,0.0005728632,0.0001467,0.01429898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003393881,"threshold_uncertainty_score":0.01794875,"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."}}