{"id":"W4387409199","doi":"10.1016/j.matt.2023.09.007","title":"A bacterially engineered macrophage sponge as a neutralization decoy to treat bacterial infection","year":2023,"lang":"en","type":"article","venue":"Matter","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Fundo para o Desenvolvimento das Ciências e da Tecnologia; Science and Technology Development Fund; Science, Technology and Innovation Commission of Shenzhen Municipality; Universidade de Macau; National Natural Science Foundation of China","keywords":"Neutralization; Bacteria; Microbiology; Biology; Pathogen; Decoy; Immune system; Biofilm; Macrophage; Bacterial cell structure; Antibody; Receptor; Cell biology; Immunology; In vitro; Biochemistry","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":[0.0002185271,0.0002352554,0.0002394441,0.0001613944,0.0001294591,0.00022156,0.0002210953,0.0003294324,0.001122776],"category_scores_gemma":[0.00009625329,0.00008511852,0.0002047494,0.00005825053,0.000257823,0.0001893074,0.0002399045,0.0005213569,0.0002715007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265987,"about_ca_system_score_gemma":0.000239288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360384,"about_ca_topic_score_gemma":0.0004094664,"domain_scores_codex":[0.9999315,0.00001425086,0.00000366374,0.000009685212,0.00001976032,0.0000211777],"domain_scores_gemma":[0.9999486,0.000009701741,0.00001206858,0.00000466677,0.00000739193,0.00001756802],"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":[0.000416071,0.00009315393,0.0001025941,0.0001617733,0.00001725394,0.0001964152,0.00002107799,0.0001873354,0.9900029,0.0005856908,0.0004910053,0.007724802],"study_design_scores_gemma":[0.0002015472,0.002049406,0.0007962329,0.00002827228,0.00006348694,0.0009879156,0.00003593707,0.001746181,0.9777228,0.0002154912,0.01613553,0.0000173114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551735,0.01450181,0.02060614,0.001364731,0.0007904759,0.000181563,0.0002645412,0.0004616162,0.006655694],"genre_scores_gemma":[0.9831547,0.003780353,0.006399345,0.0004043959,0.00007591247,0.00006344441,0.0001365261,0.00003035597,0.005955047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001122776,"threshold_uncertainty_score":0.003756046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007348093166815866,"score_gpt":0.2344715155369965,"score_spread":0.2271234223701807,"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."}}