{"id":"W4403548360","doi":"10.1039/d4cc04534c","title":"CRISPR/Cas12a assay for amol level microRNA by combining enzyme-free amplification and single particle analysis","year":2024,"lang":"en","type":"article","venue":"Chemical Communications","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Outstanding Youth Science and Technology Talents Program of Sichuan; Fundamental Research Funds for the Central Universities; Sichuan Province Science and Technology Support Program; Chengdu Science and Technology Bureau; National Natural Science Foundation of China","keywords":"CRISPR; Chemistry; Molecular biology; Computational biology; Biology; Biochemistry; 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":[0.001407038,0.001091171,0.001108106,0.001128177,0.0005389934,0.001051748,0.001222947,0.001189364,0.002104937],"category_scores_gemma":[0.001190703,0.0006794662,0.0006690252,0.0005271917,0.0006181914,0.0005689028,0.0009432705,0.002059842,0.002402426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006828044,"about_ca_system_score_gemma":0.0007498354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005661441,"about_ca_topic_score_gemma":0.001615094,"domain_scores_codex":[0.9974849,0.0003255999,0.0002529659,0.0008967937,0.0008751982,0.0001646194],"domain_scores_gemma":[0.9991073,0.0002493283,0.0001640386,0.0001676243,0.000210237,0.0001015114],"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":[0.00002734702,0.00002353913,0.0001134671,0.00004377366,0.000008435256,0.00002101405,0.00001479158,0.00005101141,0.997335,0.0001265051,0.000115851,0.002119299],"study_design_scores_gemma":[0.000003461354,0.00005106082,0.0003933503,0.000003526387,0.00001055027,0.00009271818,0.000005558212,0.001561273,0.9967105,0.00006013131,0.001097969,0.000009896214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2441213,0.001771771,0.7392515,0.0003907497,0.0003068846,0.0006869083,0.002366131,0.005295802,0.005809015],"genre_scores_gemma":[0.3361284,0.00103329,0.6443144,0.0002693264,0.00004974072,0.001091224,0.002502008,0.0004015035,0.01421012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002104937,"threshold_uncertainty_score":0.007441223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03950702468401947,"score_gpt":0.3368679160143708,"score_spread":0.2973608913303513,"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."}}