{"id":"W4383302536","doi":"10.4155/bio-2023-0096","title":"A Validated Capillary Microsampling Liquid Chromatography–Tandem Mass Spectrometry Method for Quantification of Antisense Oligonucleotides in Mouse Serum","year":2023,"lang":"en","type":"article","venue":"Bioanalysis","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Altasciences (Canada)","funders":"","keywords":"Bioanalysis; Chromatography; Chemistry; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Mass spectrometry; Oligonucleotide; Capillary electrophoresis; DNA; 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":[0.001631371,0.0008861363,0.0003637407,0.001394314,0.0003526224,0.0003250975,0.0005766595,0.0007811718,0.0005893821],"category_scores_gemma":[0.001315497,0.0002575571,0.0004384395,0.0004210761,0.0004525505,0.0002375075,0.0002607954,0.0007137603,0.0004821208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006421378,"about_ca_system_score_gemma":0.001599272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029189,"about_ca_topic_score_gemma":0.003250456,"domain_scores_codex":[0.9979541,0.0003759381,0.0001117663,0.0002932951,0.001192595,0.00007223562],"domain_scores_gemma":[0.9988958,0.0002278741,0.0002570206,0.00006628188,0.0004730715,0.00007996646],"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":[0.00004619824,0.00002424164,0.0004417764,0.00003975043,0.00001054722,0.00002421523,0.00001406539,0.00009236181,0.9947438,0.0001295702,0.0001130562,0.004320392],"study_design_scores_gemma":[0.00001951791,0.0003885074,0.002543319,0.00001513226,0.00003145355,0.0002883989,0.00001355863,0.003178766,0.9909102,0.00008366323,0.002501956,0.00002558651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3566572,0.006035646,0.6259277,0.0006239148,0.0004253207,0.001436109,0.001698973,0.00300406,0.004191061],"genre_scores_gemma":[0.561343,0.003557563,0.4250817,0.001246099,0.0001433815,0.002087888,0.001493125,0.0001541524,0.004892969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001631371,"threshold_uncertainty_score":0.008627594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101697944501025,"score_gpt":0.3173609591171095,"score_spread":0.2963439796720992,"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."}}