{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004698336,0.0004107524,0.0003187009,0.0005020291,0.000204512,0.0007681882,0.0002540101,0.0002922411,0.0004965215],"category_scores_gemma":[0.0003187468,0.0001547312,0.0003443047,0.0003994794,0.0002136849,0.0002791971,0.0004252931,0.0005531913,0.0004543062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105477,"about_ca_system_score_gemma":0.000275304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007760234,"about_ca_topic_score_gemma":0.0008571252,"domain_scores_codex":[0.9996986,0.00002817537,0.00002630289,0.00006033977,0.0001453908,0.00004116778],"domain_scores_gemma":[0.9998438,0.00003015279,0.00003675915,0.00002406169,0.00004920762,0.00001594213],"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":[0.0000304853,0.000006768238,0.0002978009,0.00001681647,0.000003630531,0.00001489365,0.00001113535,0.00005876291,0.9978651,0.00003433643,0.0000244975,0.001635767],"study_design_scores_gemma":[0.000002191497,0.00006499519,0.003915717,0.000005280457,0.00001507426,0.00006846443,0.00001639593,0.001223509,0.9932129,0.00004806854,0.001421248,0.000006144815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205134,0.001802886,0.0688299,0.0001083443,0.0000683354,0.0002460716,0.005737847,0.000549766,0.002143583],"genre_scores_gemma":[0.9222552,0.002345296,0.05824787,0.000256925,0.00002054006,0.0004117784,0.01175095,0.0003371542,0.004374392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007760234,"threshold_uncertainty_score":0.002978683,"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."}}