{"id":"W2924307610","doi":"10.1039/c8nr09802f","title":"A new tool to attack biofilms: driving magnetic iron-oxide nanoparticles to disrupt the matrix","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Nanoparticle; Biofilm; Iron oxide nanoparticles; Matrix (chemical analysis); Magnetic nanoparticles; Iron oxide; Materials science; Nanotechnology; Chemical engineering; Metallurgy; Bacteria; Engineering; Composite material; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002036797,0.0004015694,0.000247141,0.0002282062,0.0002527818,0.0003718582,0.0002866422,0.0006530798,0.0007440591],"category_scores_gemma":[0.000210745,0.0001820716,0.0002227326,0.00008267105,0.0003167043,0.0004357577,0.0003423878,0.0006002709,0.0002858303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040937,"about_ca_system_score_gemma":0.0001686199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003929266,"about_ca_topic_score_gemma":0.0008628577,"domain_scores_codex":[0.9998569,0.00002324132,0.00000631686,0.00003132008,0.00005969017,0.00002245533],"domain_scores_gemma":[0.9999034,0.00002702924,0.00002313652,0.000008820005,0.00001854658,0.00001894903],"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":[0.00001362597,0.00001611496,0.00003776123,0.00005806536,0.000002704946,0.0000275494,0.00001654833,0.00004296192,0.99721,0.0001881262,0.00009653368,0.002289902],"study_design_scores_gemma":[0.00001598788,0.0003416233,0.0005167795,0.0000131687,0.000009336887,0.0002074307,0.00002779646,0.001488325,0.9908049,0.0001903535,0.006375155,0.000009205817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230376,0.01748533,0.1436742,0.003533659,0.001032927,0.000239147,0.0002263823,0.0007720205,0.009998794],"genre_scores_gemma":[0.9300095,0.003796099,0.05865068,0.0007412493,0.000122831,0.0001169148,0.00007724576,0.00005016335,0.006435215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007440591,"threshold_uncertainty_score":0.00248909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006965511296009692,"score_gpt":0.2464176686906738,"score_spread":0.2394521573946641,"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."}}