{"id":"W3202438242","doi":"10.3390/act10100246","title":"UV-Vis Spectrophotometric Analysis of DNA Retrieval for DNA Storage Applications","year":2021,"lang":"en","type":"article","venue":"Actuators","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"DNA; Biological system; Computer science; Process (computing); Biochemical engineering; Process engineering; Chemistry; Environmental science; Biology; Biochemistry; Engineering","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":[0.0006225529,0.0006430449,0.0003455965,0.0009244186,0.000538648,0.0006340686,0.0005922754,0.0007371883,0.001753123],"category_scores_gemma":[0.001260406,0.0002500306,0.0003114812,0.001072592,0.000333771,0.0007838592,0.0003296159,0.0008633804,0.0009531317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421102,"about_ca_system_score_gemma":0.0005008753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006635219,"about_ca_topic_score_gemma":0.000903678,"domain_scores_codex":[0.999413,0.00009712532,0.00003737034,0.0001205485,0.0002920803,0.00003974158],"domain_scores_gemma":[0.9992588,0.0002368049,0.0001505844,0.000064512,0.0002628644,0.00002635948],"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":[0.00006468572,0.00003730675,0.0006023358,0.0001216269,0.000008838088,0.00003767145,0.00007342593,0.0001585522,0.9907849,0.0001544395,0.000131311,0.007824876],"study_design_scores_gemma":[0.000002644825,0.0001499414,0.001878613,0.00001046426,0.00001529044,0.0001000625,0.00007916382,0.001930069,0.9940399,0.00008999914,0.001689146,0.00001477511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103333,0.008176597,0.1692472,0.0003815932,0.0002918263,0.0002129295,0.001108143,0.001249571,0.008998881],"genre_scores_gemma":[0.8792604,0.006236726,0.1024378,0.0003134242,0.00005830202,0.0004080987,0.001048616,0.0002446959,0.009991993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001753123,"threshold_uncertainty_score":0.005864799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307530638614424,"score_gpt":0.2712437607519529,"score_spread":0.2581684543658087,"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."}}