{"id":"W4403033594","doi":"10.1039/d4mo00052h","title":"Comprehensive untargeted lipidomic profiling of third generation lentiviral vectors and packaging cells","year":2024,"lang":"en","type":"article","venue":"Molecular Omics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Ottawa Hospital; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Terry Fox Foundation; Government of Ontario; Canada Foundation for Innovation; Ontario Research Foundation; Carleton University","keywords":"Viral vector; Profiling (computer programming); Computational biology; Computer science; Biology; Recombinant DNA; Biochemistry; Gene","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":[0.00006314889,0.0001313112,0.0001271207,0.00006030938,0.00003198352,0.00004393898,0.00007900927,0.0001000617,0.00000250391],"category_scores_gemma":[0.000008593366,0.0001316985,0.00008188749,0.00006562771,0.00005503297,0.000006138923,0.00007964803,0.00008175471,0.000005802908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000104547,"about_ca_system_score_gemma":0.00004830134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001397119,"about_ca_topic_score_gemma":0.000004149525,"domain_scores_codex":[0.9992654,0.00004131883,0.0001779933,0.0002951535,0.00007578096,0.0001443888],"domain_scores_gemma":[0.9996833,0.000006309726,0.00003905633,0.0001741889,0.0000633427,0.00003378506],"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":[0.0000213128,0.00001052845,0.0002834186,0.00005856252,0.00007847492,0.000008290837,0.00006250541,0.0002907682,0.9977123,0.0001043288,0.0002800088,0.001089474],"study_design_scores_gemma":[0.0001577389,0.0001211606,0.00009523707,0.00002481107,0.00003052166,0.000007553314,0.00006862487,0.004565979,0.9938,0.00004637953,0.0009420428,0.0001399271],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879063,0.003500531,0.00788959,0.00003552546,0.0004103036,0.000134242,0.00002422991,0.00001386492,0.00008542262],"genre_scores_gemma":[0.9977832,0.0003855486,0.001287004,0.0001348817,0.0001419135,0.000006029493,0.0001777035,0.00002225604,0.00006150419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00987687,"threshold_uncertainty_score":0.5370508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227132995029583,"score_gpt":0.241541166947215,"score_spread":0.2292698369969191,"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."}}