{"id":"W2989600529","doi":"10.1186/s13036-019-0211-2","title":"High capacity DNA data storage with variable-length Oligonucleotides using repeat accumulate code and hybrid mapping","year":2019,"lang":"en","type":"article","venue":"Journal of Biological Engineering","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National University Health System; Nanyang Technological University; National University of Singapore; University of Alberta","keywords":"Computer science; Coding (social sciences); Computer data storage; Algorithm; Oligonucleotide; DNA; Computer hardware; Biology; Mathematics; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005899816,0.0001958802,0.0003377081,0.00004938314,0.00005090287,0.00004767137,0.0003603944,0.0001309504,0.00001147234],"category_scores_gemma":[0.0002540002,0.0001217827,0.00005028182,0.00008701958,0.00005359537,0.00002139906,0.0003682428,0.0002556085,9.047611e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001830526,"about_ca_system_score_gemma":0.00002376003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006398351,"about_ca_topic_score_gemma":2.936743e-7,"domain_scores_codex":[0.9988813,0.0000524489,0.0003508005,0.0003303182,0.0001070567,0.0002780991],"domain_scores_gemma":[0.9992206,0.0000639893,0.0002168445,0.0002960694,0.00008627369,0.0001162099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001008975,0.00002841884,0.0053659,0.00003257372,0.000112264,0.0000316494,0.000007012663,0.02784275,0.9657225,0.00007480939,0.00001599295,0.0006652062],"study_design_scores_gemma":[0.009655558,0.01101911,0.1247696,0.002011262,0.0003762346,0.008867965,0.0003905669,0.4286828,0.3549455,0.0005590288,0.05443985,0.004282573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707991,0.0003500191,0.02848403,0.00002546348,0.0001849098,0.00008559526,0.00002457555,0.00001562066,0.00003069619],"genre_scores_gemma":[0.9607092,0.0001020559,0.03876472,0.00008046364,0.0002988723,2.864044e-7,0.00002401992,0.00001295708,0.000007406124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.610777,"threshold_uncertainty_score":0.4966155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04411487236689308,"score_gpt":0.2336495960399167,"score_spread":0.1895347236730237,"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."}}