{"id":"W4416352932","doi":"10.1039/d5tb02048d","title":"Precision-engineered supramolecular assembly of bio-MOFs to combat antimicrobial resistance","year":2025,"lang":"en","type":"article","venue":"Journal of Materials Chemistry B","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science and Engineering Research Board; University Grants Commission; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Rational design; Antimicrobial; Scalability; Multidisciplinary approach; Supramolecular chemistry; Supramolecular assembly","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":[0.0001150708,0.0001727909,0.0001391455,0.0001234426,0.0001389959,0.0002528782,0.000224254,0.0002851067,0.0008026635],"category_scores_gemma":[0.0001502907,0.0000808492,0.0001342324,0.00006906781,0.0001861274,0.0002294575,0.0002493314,0.0002937622,0.0001926196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003020447,"about_ca_system_score_gemma":0.0001983604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003489141,"about_ca_topic_score_gemma":0.001099697,"domain_scores_codex":[0.9999359,0.000007477292,0.000004498892,0.00001490558,0.00001556799,0.00002164791],"domain_scores_gemma":[0.9999634,0.000006475397,0.0000101666,0.000005579304,0.000005660473,0.000008814176],"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":[0.00003273113,0.00003769767,0.0001772494,0.00008112065,0.00001282633,0.00004379387,0.00002877276,0.002508121,0.9832044,0.002871241,0.0002956494,0.0107066],"study_design_scores_gemma":[0.00001929656,0.0002115483,0.0008126391,0.00001333668,0.00001245794,0.00008562516,0.00003444937,0.01430679,0.9698625,0.0007153475,0.01390998,0.00001603041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311712,0.003408614,0.05381758,0.0003686266,0.0001358033,0.0001128922,0.0001937502,0.0007810431,0.01001042],"genre_scores_gemma":[0.9879212,0.0004448722,0.01035343,0.00006179941,0.0000074298,0.00003351891,0.00005298753,0.00001520413,0.001109556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008026635,"threshold_uncertainty_score":0.002685189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007271312543854611,"score_gpt":0.2402429923077177,"score_spread":0.2329716797638631,"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."}}