{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008182552,0.0001595071,0.0001985391,0.00003161421,0.00004682865,0.00001240411,0.0001118147,0.0001301163,0.000002148851],"category_scores_gemma":[0.00002033054,0.0001341662,0.00006956073,0.0001314519,0.0001747874,0.000009783802,0.00005651314,0.00006149504,7.326767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009586572,"about_ca_system_score_gemma":0.00002156392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.557656e-7,"about_ca_topic_score_gemma":0.000002196917,"domain_scores_codex":[0.9991361,0.00003724267,0.0002314976,0.0002917471,0.0001380823,0.0001653324],"domain_scores_gemma":[0.999227,0.00001055614,0.0001701802,0.0002915991,0.0002638921,0.00003680726],"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":[0.00008322046,0.00003645485,0.001553918,0.00002205092,0.00007446984,1.857669e-7,0.00003107552,0.00001070408,0.9686617,0.0009068737,0.00001064959,0.0286087],"study_design_scores_gemma":[0.000320085,0.000159048,0.007632754,0.00001292433,0.00005011203,0.000006546933,0.00005839866,0.00003551884,0.9668332,0.001162377,0.02355735,0.0001717273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942289,0.001766883,0.003313726,0.0002472883,0.00007692473,0.000202523,0.00007473629,0.00003326579,0.00005577225],"genre_scores_gemma":[0.9936998,0.001060088,0.004643694,0.0001930389,0.00004523402,0.000005780204,0.0002349983,0.00001578888,0.0001015075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02843697,"threshold_uncertainty_score":0.5471137,"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."}}