{"id":"W4412165498","doi":"10.21203/rs.3.rs-7006641/v1","title":"Integrative proteomics and lipidomics reveals dual roles for lipid droplets in the host cell antiviral response","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"National Health and Medical Research Council; Medical Research Council; Foundation Medicine; University of Melbourne; Monash University; La Trobe University; University of Washington","keywords":"Lipidomics; Proteomics; Dual (grammatical number); Computational biology; Host (biology); Host response; Cell; Cell biology; Biology; Chemistry; Immune system; Bioinformatics; Immunology; Biochemistry; Genetics; Gene","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":[0.000577366,0.0006458326,0.0007445414,0.0005571388,0.0003488982,0.001705066,0.000328459,0.0009169517,0.002103659],"category_scores_gemma":[0.0003438086,0.0003240773,0.0004177118,0.0005936949,0.0005225535,0.0014216,0.0008845031,0.001126732,0.0009891094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006964659,"about_ca_system_score_gemma":0.0003771114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005389444,"about_ca_topic_score_gemma":0.0006689446,"domain_scores_codex":[0.9997445,0.00002715616,0.000009919769,0.00008651456,0.00008543376,0.00004645741],"domain_scores_gemma":[0.9998492,0.00003543929,0.00002756453,0.0000349643,0.00002316423,0.00002968585],"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":[0.0002130923,0.0000126934,0.0005623154,0.00005902852,0.00001674394,0.0001034065,0.00002450712,0.0002550123,0.9905171,0.003351412,0.0002503224,0.004634324],"study_design_scores_gemma":[0.00004652291,0.00009248029,0.02141043,0.00002642849,0.0000661128,0.000794883,0.0001633626,0.01452331,0.9348615,0.01818893,0.009785459,0.00004055792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8681999,0.01478341,0.09516651,0.003981415,0.0004933404,0.00004805297,0.002943541,0.0007562228,0.0136276],"genre_scores_gemma":[0.9525954,0.004735249,0.03189397,0.0003990842,0.0001720954,0.00003324749,0.002218502,0.0002776752,0.007674938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002103659,"threshold_uncertainty_score":0.007037461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02495050358753228,"score_gpt":0.3484420058848889,"score_spread":0.3234915022973566,"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."}}