{"id":"W4405231726","doi":"10.1021/jacs.4c11380","title":"Random Sanitization in DNA Information Storage Using CRISPR-Cas12a","year":2024,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"CRISPR; Chemistry; Metadata; DNA; Oligonucleotide; Computational biology; Computer science; Nanotechnology; Gene; Operating system; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000269352,0.00007192871,0.0001318246,0.00001282335,0.00003296793,0.00004002694,0.0001577956,0.00005340102,0.000003504067],"category_scores_gemma":[0.0001299776,0.00004323777,0.0002475964,0.0002086456,0.0001024313,0.00001241827,0.00008596164,0.000187602,7.984784e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005541683,"about_ca_system_score_gemma":0.00005517946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008179608,"about_ca_topic_score_gemma":2.609375e-7,"domain_scores_codex":[0.9993871,0.00004733257,0.000263138,0.00006937556,0.0001180294,0.0001150124],"domain_scores_gemma":[0.9996195,0.00002941689,0.0001944486,0.00006992916,0.00005609078,0.00003055896],"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":[0.00004977087,0.00001354649,0.0007105466,0.00001206554,0.00002886863,9.265751e-7,0.00009195651,0.0004014467,0.9940779,0.000004423117,0.001362684,0.003245819],"study_design_scores_gemma":[0.001274289,0.000252288,0.003532687,0.0001942982,0.00007385416,0.0001789758,0.0008612258,0.0207252,0.9472997,0.0002641595,0.02502681,0.0003165824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907377,0.0002289725,0.008444412,0.0003223944,0.0001463149,0.00004314897,0.00000240832,0.00000441319,0.00007017231],"genre_scores_gemma":[0.9974397,0.00007232328,0.001444013,0.0007336517,0.0002940526,4.029855e-7,0.000004366767,0.000004511703,0.000006961498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04677831,"threshold_uncertainty_score":0.1763185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009520981312947513,"score_gpt":0.2616668957877692,"score_spread":0.2521459144748217,"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."}}