{"id":"W4310088457","doi":"10.1126/sciadv.abo1827","title":"Structural and biochemical characteristics of mRNA nanoparticles determine anti–SARS-CoV-2 humoral and cellular immune responses","year":2022,"lang":"en","type":"article","venue":"Science Advances","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Micropharma (Canada)","funders":"","keywords":"Immune system; Humoral immunity; Cellular immunity; Immunity; Immunology; Biology; Lysosome; Coronavirus; Virology; Cell biology; Chemistry; Coronavirus disease 2019 (COVID-19); Medicine; Disease; Biochemistry; Infectious disease (medical specialty); Enzyme","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":[0.0001186956,0.0001936983,0.0000872314,0.0001230254,0.00007524784,0.0001807637,0.00005506128,0.0002435071,0.0007253644],"category_scores_gemma":[0.000173957,0.00009135485,0.0001072397,0.00005218116,0.0001676788,0.0002015382,0.0000881229,0.0002153564,0.0001894584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001844826,"about_ca_system_score_gemma":0.0001196266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002967245,"about_ca_topic_score_gemma":0.0004404599,"domain_scores_codex":[0.9999102,0.0000136255,0.000006106742,0.00002229701,0.00002350833,0.00002432165],"domain_scores_gemma":[0.9999306,0.00001513992,0.00002092726,0.00000321049,0.00001879719,0.00001126946],"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":[0.00003493216,0.000007207545,0.0004270107,0.00002028946,0.000002169083,0.00001533433,0.000007679998,0.0000680683,0.998531,0.00004421392,0.00001552219,0.0008266608],"study_design_scores_gemma":[0.000006327613,0.0002687128,0.006921605,0.000004984451,0.00001492514,0.0001224635,0.00004565759,0.001606826,0.9898866,0.00006398994,0.001051528,0.000006323873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959391,0.0006005702,0.002037658,0.00005091403,0.00001325516,0.00001579509,0.00008661718,0.00001524776,0.001240771],"genre_scores_gemma":[0.9977289,0.0002380097,0.001015734,0.00003994023,0.000004316134,0.00001303892,0.0001008216,0.000004722004,0.0008545818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007253644,"threshold_uncertainty_score":0.002426565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03675720727280758,"score_gpt":0.3488027784053352,"score_spread":0.3120455711325276,"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."}}