{"id":"W4391676822","doi":"10.1002/adfm.202315923","title":"Introducing HaNTr – Halloysite Nanotubes Targeting System for The Selective Delivery of Antibiotics","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Technion-Israel Institute of Technology; Medical Research Council; Azrieli Foundation","keywords":"Halloysite; Antibiotics; Materials science; Escherichia coli; Nanomedicine; Nanotechnology; Ex vivo; Microbiology; Drug delivery; Bacteria; Ciprofloxacin; In vivo; Biophysics; Nanoparticle; Chemistry; Biology; Biochemistry; Biotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001032,0.0002275344,0.000118036,0.0001153499,0.0001031923,0.0001929328,0.0001999736,0.0004323793,0.0007042224],"category_scores_gemma":[0.0001066911,0.0001300073,0.0001470866,0.00005558325,0.0001494806,0.0001889959,0.0001937768,0.0002089389,0.0002422074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001842186,"about_ca_system_score_gemma":0.0001230111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003600974,"about_ca_topic_score_gemma":0.0005840631,"domain_scores_codex":[0.9999198,0.00001030674,0.00000587152,0.00002430025,0.00001939975,0.00002032576],"domain_scores_gemma":[0.9999317,0.00001170645,0.00002546155,0.00000582643,0.00001139926,0.00001386594],"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":[0.00001342774,0.000005697304,0.00002589968,0.00001599887,0.00000172835,0.00001991555,0.000005012782,0.00005525107,0.9992892,0.00005691253,0.00001975199,0.0004912103],"study_design_scores_gemma":[0.000005061734,0.0001256153,0.0003109374,0.000002079147,0.000003887775,0.00005430678,0.000008073398,0.001392743,0.9971777,0.00001164877,0.0009033082,0.000004479156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908703,0.0003766665,0.007204977,0.00006193922,0.00003511959,0.00003180622,0.00006617358,0.000151379,0.001201669],"genre_scores_gemma":[0.9940633,0.000188775,0.004401147,0.00003221184,0.000008037752,0.00002283384,0.00004942195,0.00001026385,0.001223986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007042224,"threshold_uncertainty_score":0.002355874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254047540918116,"score_gpt":0.2505113676545686,"score_spread":0.2379708922453874,"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."}}