{"id":"W6987547840","doi":"","title":"Targeting Alpha-Synuclein using chemically modified nucleic acid scaffolds","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"iNano Medical (Canada)","funders":"","keywords":"Nucleic acid; Aptamer; DNA; Systematic evolution of ligands by exponential enrichment; RNA; Small molecule; Scaffold; Binding selectivity; Oligonucleotide","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001349407,0.0003242299,0.0001790652,0.000141622,0.0001167169,0.0003252209,0.0002584947,0.0004318451,0.001167221],"category_scores_gemma":[0.0001932498,0.0001533839,0.0002553195,0.00009909894,0.0001620407,0.0002358737,0.0002351414,0.0003638946,0.000671907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002236286,"about_ca_system_score_gemma":0.0001474474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001798825,"about_ca_topic_score_gemma":0.0003208784,"domain_scores_codex":[0.9998974,0.00001630962,0.000006166056,0.00003120337,0.00002946782,0.00001943238],"domain_scores_gemma":[0.9999282,0.00001927503,0.0000240705,0.000006552009,0.00001155822,0.00001027993],"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":[0.0000423065,0.00003012147,0.00006681516,0.0001538863,0.000008284771,0.00009453068,0.00003491936,0.000986536,0.9935401,0.0006042263,0.0001052468,0.004332968],"study_design_scores_gemma":[0.000007250169,0.0003217572,0.0002050756,0.00001354325,0.00001018627,0.0001023299,0.00002037421,0.00190492,0.9914616,0.00007768678,0.005863435,0.00001196091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571838,0.004723512,0.02426823,0.0002277235,0.0001586208,0.0001304722,0.0002427102,0.0004373501,0.01262761],"genre_scores_gemma":[0.9622283,0.003830906,0.0230055,0.0001726919,0.00002546161,0.0001814415,0.0002819565,0.00006168734,0.010212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001167221,"threshold_uncertainty_score":0.0039047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127028136548165,"score_gpt":0.2874166146719635,"score_spread":0.2761463333064819,"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."}}