{"id":"W7116909897","doi":"10.1021/acsabm.5c01770","title":"A Polymeric Nanocarrier Platform for Rapid and Precise Fatty Acid Tracing in Cells","year":2025,"lang":"en","type":"article","venue":"ACS Applied Bio Materials","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Nutrition, Metabolism and Diabetes; IONICS Mass Spectrometry (Canada)","funders":"National Institutes of Health","keywords":"Nanocarriers; Tracing; Fatty acid; Metabolomics; Metabolism; Metabolic pathway; Flux (metallurgy)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002074085,0.0004210145,0.0002723233,0.0002775889,0.0002306278,0.0003789927,0.000427312,0.000627458,0.0007373808],"category_scores_gemma":[0.0002531725,0.000159627,0.0002530953,0.0002269867,0.0002604041,0.0003655581,0.0003719142,0.0005405778,0.0004700851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007974906,"about_ca_system_score_gemma":0.0005104379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00176408,"about_ca_topic_score_gemma":0.002352748,"domain_scores_codex":[0.9998171,0.0000175048,0.0000115908,0.00006331412,0.00006295035,0.00002765936],"domain_scores_gemma":[0.9999046,0.00001747764,0.00002731992,0.00001754309,0.00001833338,0.0000147339],"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":[0.00002232145,0.00001016942,0.00002694947,0.00003076778,0.00000298838,0.00003072292,0.0000103521,0.0002778756,0.9944559,0.0004239177,0.00009619558,0.004611968],"study_design_scores_gemma":[0.000007036201,0.00008010586,0.0001328466,0.000004074237,0.000007154801,0.00006765516,0.000004919603,0.002723099,0.9902997,0.00007245476,0.006592773,0.000008018217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6298597,0.007402471,0.3475662,0.0008748463,0.0003782922,0.0003835209,0.001058144,0.003148343,0.009328432],"genre_scores_gemma":[0.799283,0.003173675,0.1849585,0.000324138,0.00003621565,0.0003698223,0.0006031966,0.0001796643,0.01107181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00176408,"threshold_uncertainty_score":0.00578624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005507744261897938,"score_gpt":0.2128131636746611,"score_spread":0.2073054194127632,"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."}}