{"id":"W2987188373","doi":"10.1002/adtp.201900144","title":"Progress Toward Absorption, Distribution, Metabolism, Elimination, and Toxicity of DNA Nanostructures","year":2019,"lang":"en","type":"article","venue":"Advanced Therapeutics","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanotechnology; DNA; Modularity (biology); Nanostructure; Computational biology; In vivo; Drug delivery; Chemistry; Biology; Biophysics; Materials science; Biochemistry; Biotechnology; Genetics","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":[0.00147558,0.0004152299,0.0004004917,0.0006197217,0.0001816171,0.000835806,0.0002818384,0.0003911617,0.0006508082],"category_scores_gemma":[0.0008097146,0.0002204726,0.0002129913,0.0003380903,0.000482881,0.001057545,0.0002540062,0.0004273987,0.0003061882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105333,"about_ca_system_score_gemma":0.0004799229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001055198,"about_ca_topic_score_gemma":0.0007135018,"domain_scores_codex":[0.9995359,0.0001202455,0.00004512256,0.0001350856,0.0001374563,0.00002609057],"domain_scores_gemma":[0.9995191,0.000186529,0.00008032233,0.00003250129,0.0001633017,0.00001818586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001384063,0.00008737695,0.0008867616,0.0004640632,0.00002124585,0.00004054413,0.0001401103,0.0008376859,0.9487213,0.001186718,0.000225839,0.04724993],"study_design_scores_gemma":[0.000007612821,0.0004666882,0.002018945,0.00006520667,0.0000480079,0.0002304179,0.00006226373,0.002274783,0.9776928,0.0004883824,0.01662517,0.00001969675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6167826,0.2616605,0.1063177,0.001664803,0.000163144,0.0001081243,0.0006345081,0.0004807755,0.01218782],"genre_scores_gemma":[0.7789196,0.1458698,0.06582832,0.0005225134,0.0001992012,0.0001588474,0.0008622051,0.0001401377,0.007499384],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00147558,"threshold_uncertainty_score":0.007803679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00753315182727887,"score_gpt":0.2677490864301219,"score_spread":0.260215934602843,"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."}}