{"id":"W2810856171","doi":"10.1016/j.jpba.2018.06.063","title":"The development of simple flow injection analysis tandem mass spectrometric methods for the cutaneous determination of peptide-modified cationic gemini surfactants used as gene delivery vectors","year":2018,"lang":"en","type":"article","venue":"Journal of Pharmaceutical and Biomedical Analysis","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; College of Pharmacy and Nutrition, University of Saskatchewan","keywords":"Chemistry; Chromatography; Biodistribution; Pulmonary surfactant; Extraction (chemistry); Solid phase extraction; Cationic polymerization; Tandem mass spectrometry; Ammonium bromide; Peptide; Ex vivo; Mass spectrometry; Biochemistry; Organic chemistry; In vitro","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":[0.001409633,0.0001255618,0.0003689254,0.0004182804,0.0001932685,0.00002564814,0.0002555598,0.0001139487,0.00004745911],"category_scores_gemma":[0.0003992683,0.00006977768,0.0004185513,0.001547577,0.0003025984,0.000009146411,0.00005678069,0.0001067621,4.671714e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003475435,"about_ca_system_score_gemma":0.0001509984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001493013,"about_ca_topic_score_gemma":0.00006700531,"domain_scores_codex":[0.998349,0.0001609227,0.0007757946,0.0001818556,0.000344414,0.0001879949],"domain_scores_gemma":[0.9981819,0.0004602675,0.0004913463,0.0001492465,0.0005927559,0.0001244773],"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":[0.0004904321,0.0001384555,0.004187458,0.00001907694,0.007397948,0.000001781124,0.0001951,0.0001673263,0.8306998,0.000003418562,0.00005100225,0.1566482],"study_design_scores_gemma":[0.0007827103,0.001415985,0.01083232,0.00001024405,0.009183589,0.00003974401,0.0003278709,0.1095416,0.8644442,0.0002379285,0.002992826,0.0001909287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6875083,0.000616752,0.3116005,0.0001107532,0.00007737042,0.0000676877,0.00001005383,0.000001177557,0.00000739188],"genre_scores_gemma":[0.9869055,0.0008678356,0.01194813,0.00003902621,0.0001571416,0.000003657764,0.00002894176,0.000005273969,0.00004454735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2996524,"threshold_uncertainty_score":0.2845451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03318363602836615,"score_gpt":0.3832038456353699,"score_spread":0.3500202096070037,"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."}}