{"id":"W4393317107","doi":"10.1101/2024.03.27.587092","title":"Using absorbance detection for hs-SV-AUC characterization of adeno-association virus","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Sudbury","funders":"","keywords":"Absorbance; Characterization (materials science); Adeno-associated virus; Virology; Chemistry; Chromatography; Medicine; Materials science; Nanotechnology; Biochemistry","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":[0.001239302,0.001492886,0.0004299995,0.001115093,0.000614984,0.001207815,0.0008345477,0.0008140097,0.00284421],"category_scores_gemma":[0.001920864,0.0004177068,0.0003711136,0.0007257848,0.0005319232,0.0006356303,0.0003315586,0.002044657,0.002796409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004831557,"about_ca_system_score_gemma":0.0005645665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009969709,"about_ca_topic_score_gemma":0.001068932,"domain_scores_codex":[0.9988674,0.0002433565,0.00007754113,0.00027663,0.0004375229,0.00009768485],"domain_scores_gemma":[0.998285,0.0006439934,0.0002182489,0.0001994433,0.0004759585,0.0001774195],"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":[0.00005076956,0.0000401736,0.000178491,0.00004516546,0.000006370733,0.00002040938,0.00005128353,0.00006999827,0.9960222,0.0003226007,0.0001446627,0.003047755],"study_design_scores_gemma":[0.000002201998,0.00007236357,0.000418033,0.000005104178,0.000005750407,0.00007655775,0.00001035163,0.001253005,0.9960734,0.00008604303,0.001990955,0.000006265273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4129643,0.002512912,0.5671967,0.0003283041,0.0005815534,0.0002970519,0.001444229,0.004729718,0.00994525],"genre_scores_gemma":[0.622972,0.003460598,0.3437034,0.0003354163,0.000127937,0.0005611374,0.004692157,0.001264646,0.02288277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00284421,"threshold_uncertainty_score":0.009514868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02016385511662987,"score_gpt":0.2703537535600117,"score_spread":0.2501898984433818,"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."}}