{"id":"W3010150364","doi":"10.1016/j.jpba.2020.113230","title":"Quantitation of polymeric-microneedle-delivered HA15 in tissues using liquid chromatography-tandem mass spectrometry","year":2020,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"Advancements in Transdermal Drug Delivery","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"China Postdoctoral Science Foundation; Canada Research Chairs; Beatrice Hunter Cancer Research Institute","keywords":"Chemistry; Chromatography; Detection limit; Ex vivo; Liquid chromatography–mass spectrometry; Mass spectrometry; Protein precipitation; In vivo; Tandem mass spectrometry; In vitro; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007326984,0.0002364715,0.0008604726,0.0008302471,0.00007651155,0.00001394704,0.0002849556,0.0002441973,0.001396185],"category_scores_gemma":[0.000112625,0.0001965543,0.0003799686,0.00265366,0.0006369549,0.0002124798,0.0000648042,0.0008608186,0.000005045948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005396315,"about_ca_system_score_gemma":0.00007162211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002046275,"about_ca_topic_score_gemma":0.000002153411,"domain_scores_codex":[0.9971766,0.0004173011,0.001210457,0.0002712117,0.0005315274,0.0003928634],"domain_scores_gemma":[0.9983244,0.0003390056,0.0004882005,0.00006988136,0.0001488218,0.0006297249],"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":[0.001908438,0.0007077028,0.02290594,0.0001892232,0.003423376,0.0002968189,0.0007100729,0.0009261725,0.9628313,0.00008986647,0.00008537256,0.00592577],"study_design_scores_gemma":[0.0141276,0.003849304,0.01043621,0.0002287794,0.01808501,0.0001948726,0.003048559,0.3014773,0.6308969,0.0004291699,0.01600959,0.001216643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466456,0.007603246,0.04289143,0.002391438,0.0002272637,0.0001188327,0.00005441367,0.00001436184,0.00005338969],"genre_scores_gemma":[0.9898941,0.00377151,0.005088307,0.0009866924,0.0002274727,0.000001087362,0.000011719,0.00001363876,0.000005463919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3319343,"threshold_uncertainty_score":0.9995167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10038477899555,"score_gpt":0.4320536154810806,"score_spread":0.3316688364855306,"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."}}