{"id":"W4280512684","doi":"10.1126/science.adc9449","title":"Better lipids to power next generation of mRNA vaccines","year":2022,"lang":"en","type":"article","venue":"Science","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Messenger RNA; Computational biology; Biology; Chemistry; 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":[0.0009301162,0.0006666905,0.0005809867,0.0005213601,0.0004080701,0.001418282,0.0004258426,0.0008319427,0.01484356],"category_scores_gemma":[0.001526946,0.0003132868,0.000514028,0.0003245253,0.0007013893,0.003449722,0.0009583306,0.002063449,0.006880695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009823926,"about_ca_system_score_gemma":0.001116447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008248676,"about_ca_topic_score_gemma":0.000919163,"domain_scores_codex":[0.9996933,0.00007874845,0.00001764159,0.00004678778,0.0001052717,0.00005838002],"domain_scores_gemma":[0.999537,0.0001275657,0.00008760504,0.00004930082,0.000135863,0.0000627108],"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":[0.0005044665,0.0001610597,0.000542903,0.001452168,0.000054539,0.0002390322,0.0001755953,0.002564027,0.8008471,0.06936009,0.007258187,0.1168409],"study_design_scores_gemma":[0.0002078206,0.0009544445,0.0005034421,0.0003776703,0.00008317723,0.0003022446,0.0002383287,0.003524625,0.6406999,0.03346772,0.3195812,0.00005947119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2195818,0.1433346,0.4744108,0.05780112,0.006973024,0.0008889782,0.002487522,0.003789635,0.09073253],"genre_scores_gemma":[0.5851222,0.1028215,0.1871178,0.01516888,0.002006707,0.0008826195,0.002388785,0.001529546,0.102962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01484356,"threshold_uncertainty_score":0.04965663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02706934133203351,"score_gpt":0.2680451599854631,"score_spread":0.2409758186534296,"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."}}