{"id":"W2999490874","doi":"10.1021/jasms.9b00004","title":"Mass Spectrometric Detection and Characterization of Metabolites of Gemini Surfactants Used as Gene Delivery Vectors","year":2020,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Pyridinium; Metabolism; Derivatization; Mass spectrometry; Pulmonary surfactant; Tandem mass spectrometry; Chromatography; Biochemistry; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003658374,0.0006136988,0.0002144319,0.0005075052,0.0001724711,0.0002581875,0.0002016418,0.000526295,0.0004889209],"category_scores_gemma":[0.000527879,0.0001405631,0.0002321926,0.0004143066,0.0002111054,0.0003743653,0.0002175266,0.0004730555,0.0002721364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792099,"about_ca_system_score_gemma":0.0003730194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003703619,"about_ca_topic_score_gemma":0.0004701418,"domain_scores_codex":[0.9997316,0.00005838961,0.00002158074,0.00005831559,0.00009733834,0.00003271396],"domain_scores_gemma":[0.999644,0.00006132909,0.0001313507,0.00002118131,0.00009900935,0.00004310697],"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":[0.00002604885,0.000005067718,0.0002030244,0.00001872486,0.000004188836,0.00002671556,0.000009388504,0.00002734284,0.9987434,0.00002804673,0.000008277507,0.0008997518],"study_design_scores_gemma":[0.000001948721,0.00007010359,0.0007107747,0.000002570548,0.000006718321,0.0001218147,0.00001063361,0.0003180706,0.9981469,0.00002548591,0.0005822557,0.000002838608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9467131,0.004807255,0.04572126,0.0001262873,0.00005014479,0.0001256939,0.0007422682,0.0002576296,0.001456263],"genre_scores_gemma":[0.9279472,0.003471975,0.06378821,0.0001896438,0.00002510129,0.0001701016,0.001248937,0.00008187877,0.003077035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006136988,"threshold_uncertainty_score":0.002025783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01147833540840594,"score_gpt":0.2359871497935856,"score_spread":0.2245088143851796,"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."}}