{"id":"W4386757295","doi":"10.1007/s00604-023-05962-1","title":"Ultra-sensitive electrochemiluminescent biosensor for miRNA based on CRISPR/Cas13a trans-cleavage-triggered hybridization chain reaction and magnetic-assisted enrichment","year":2023,"lang":"en","type":"article","venue":"Microchimica Acta","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Aging","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"CRISPR; Biosensor; Cleavage (geology); Chemistry; microRNA; Combinatorial chemistry; Chain reaction; Nanotechnology; Materials science; Biochemistry; Photochemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006484097,0.0006820412,0.0006861021,0.0003147415,0.0002660948,0.0004861678,0.001100334,0.001091735,0.0008490409],"category_scores_gemma":[0.0005797032,0.0004364785,0.0004241628,0.0002674897,0.0003777832,0.0005624796,0.0006739104,0.0010728,0.0007225151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006668707,"about_ca_system_score_gemma":0.0004130394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004681683,"about_ca_topic_score_gemma":0.00115999,"domain_scores_codex":[0.9992096,0.00008835131,0.00005046329,0.0002452776,0.0002928123,0.0001134544],"domain_scores_gemma":[0.9997167,0.00007080646,0.00005464553,0.00003121636,0.00007971301,0.00004680159],"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":[0.00001584745,0.000005537111,0.0000274737,0.00002032857,0.000002400499,0.00001616101,0.000008811421,0.00001611437,0.9989151,0.0000744297,0.00004552869,0.0008523898],"study_design_scores_gemma":[0.000003620875,0.00002539862,0.0002227559,0.000001497639,0.000004069433,0.0000744233,0.000005138293,0.0007564054,0.9981322,0.00003744862,0.0007309137,0.000006301623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6216323,0.003948805,0.3634946,0.0007648609,0.0004108515,0.000241841,0.0009800553,0.002947569,0.005579143],"genre_scores_gemma":[0.8331502,0.001350137,0.1544732,0.0005053031,0.00006355067,0.0003213069,0.0008317,0.0001581158,0.009146377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100334,"threshold_uncertainty_score":0.004838526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009351199563174907,"score_gpt":0.2547353118368968,"score_spread":0.2453841122737219,"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."}}