{"id":"W3004603640","doi":"10.1039/c9nr09484a","title":"Exploiting shape-selected iron oxide nanoparticles for the destruction of robust bacterial biofilms – active transport of biocides <i>via</i> surface charge and magnetic field control","year":2020,"lang":"en","type":"article","venue":"Nanoscale","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba; Research Manitoba","keywords":"Biocide; Biofilm; Nanoparticle; Materials science; Surface charge; Zeta potential; Nanotechnology; Propellant; Chemical engineering; Extracellular polymeric substance; Matrix (chemical analysis); Staphylococcus aureus; Iron oxide nanoparticles; Microbiology; Chemistry; Bacteria; Composite material; Organic chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009358474,0.0001251124,0.0002023281,0.000009950871,0.00007064365,0.000008819432,0.00007770589,0.0001328605,0.00002107101],"category_scores_gemma":[0.00009224166,0.0001004018,0.00007167966,0.00008213594,0.0000970047,0.00000853739,0.00001958461,0.00004821926,3.031014e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000302244,"about_ca_system_score_gemma":0.00002809642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006721991,"about_ca_topic_score_gemma":0.00002273567,"domain_scores_codex":[0.9992263,0.00004156791,0.0002553173,0.0002278144,0.00006819879,0.0001807845],"domain_scores_gemma":[0.9995297,0.00007261541,0.0001395374,0.0001082738,0.00009641176,0.00005352601],"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":[0.001266937,0.00002119821,0.001282911,0.0000517294,0.00002844573,2.566882e-7,0.00008437225,0.00001585384,0.9937186,0.000005714138,0.00004676697,0.003477215],"study_design_scores_gemma":[0.001045435,0.0008133899,0.004889032,0.00001578776,0.00006888128,0.000003940152,0.00009458257,0.0004513917,0.9922257,0.00000149329,0.0002794293,0.0001109456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983042,0.0002928914,0.0003874153,0.0004412321,0.0001072013,0.0003316265,0.0001169274,0.000009460416,0.00000902072],"genre_scores_gemma":[0.9984018,0.00008810058,0.001170737,0.0001315227,0.0001316955,0.000006799021,0.00004395818,0.00001651024,0.000008925441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003606121,"threshold_uncertainty_score":0.4094266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105897916895703,"score_gpt":0.2020734859275222,"score_spread":0.1910145067585652,"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."}}