{"id":"W2736559545","doi":"10.1080/17458080.2017.1296977","title":"Harnessing electrical energy for anti-biofilm therapies: effects of current on cell morphology and motility","year":2017,"lang":"en","type":"article","venue":"Journal of Experimental Nanoscience","topic":"Planarian Biology and Electrostimulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; University of Guelph","keywords":"Pseudomonas aeruginosa; Biofilm; Motility; Bacteria; Microbiology; Biophysics; Wound healing; Microfluidics; Antimicrobial; Stimulation; Escherichia coli; Nanotechnology; Materials science; Drop (telecommunication); Electrical current; Bacterial cell structure; Staphylococcus aureus; Biology; Cell biology; Neuroscience; Immunology; Biochemistry","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":[0.0001273899,0.0002359645,0.0002048211,0.0001373822,0.00009310206,0.0003464283,0.0001626564,0.0003782006,0.000730872],"category_scores_gemma":[0.0001694508,0.00009868186,0.0001527032,0.00009007436,0.000217023,0.0003223188,0.0001624886,0.0003083457,0.0001229651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444181,"about_ca_system_score_gemma":0.0001245109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001499799,"about_ca_topic_score_gemma":0.0003317274,"domain_scores_codex":[0.999938,0.00001094901,0.000005508829,0.00001178118,0.00001991552,0.00001391961],"domain_scores_gemma":[0.9999325,0.00002615594,0.00001802614,0.000004483489,0.000009291156,0.000009541415],"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":[0.00001267346,0.000009486741,0.00005219395,0.00003224937,0.000001229918,0.000008991533,0.000004106562,0.00003694859,0.9977436,0.00004656539,0.00001165967,0.002040307],"study_design_scores_gemma":[0.000007089395,0.0003197611,0.002019083,0.000009429401,0.000007663307,0.00007887065,0.00002250976,0.0008260362,0.9951787,0.0001025459,0.001423847,0.000004395508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97019,0.01070202,0.01623706,0.0008269396,0.00009407797,0.00005033336,0.00009254155,0.00009364062,0.001713429],"genre_scores_gemma":[0.9879773,0.004844481,0.005860413,0.0001570272,0.00002446518,0.000034204,0.00004638078,0.00001073838,0.001044891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000730872,"threshold_uncertainty_score":0.002444983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405294442188567,"score_gpt":0.2999187795616667,"score_spread":0.285865835139781,"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."}}