{"id":"W2769531034","doi":"10.1016/j.nano.2017.11.014","title":"A new strategy for battling bacterial resistance: Turning potent, non-selective and potentially non-resistance-inducing biocides into selective ones","year":2017,"lang":"en","type":"article","venue":"Nanomedicine Nanotechnology Biology and Medicine","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"","keywords":"Biocide; Resistance (ecology); Antibiotic resistance; Chemistry; Biology; Bacteria; Microbiology; Computational biology; Genetics; Ecology; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003586959,0.0004169137,0.0008498151,0.0002323095,0.001502725,0.00003329885,0.0004349015,0.0008763603,0.00007033532],"category_scores_gemma":[0.0006172106,0.0003282631,0.00006165327,0.0001537248,0.001635308,0.0001247609,0.0001824346,0.0005753596,0.0000019635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007499683,"about_ca_system_score_gemma":0.0002084762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005247252,"about_ca_topic_score_gemma":0.0007102818,"domain_scores_codex":[0.9978244,0.00001892309,0.0005519897,0.000913384,0.00009752079,0.0005937658],"domain_scores_gemma":[0.998287,0.0002200342,0.0005882014,0.0005062424,0.0002106809,0.0001878881],"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":[0.0004910085,0.000032099,0.001653461,0.0001705706,0.000204212,0.00001126597,0.0005333382,4.434431e-7,0.9497443,0.00163903,0.002526236,0.04299398],"study_design_scores_gemma":[0.02712595,0.002079694,0.01882632,0.003507988,0.001366345,0.0001971697,0.003756739,0.0001277842,0.8094718,0.05030982,0.08133037,0.001900008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9460199,0.003080056,0.0286824,0.01838704,0.0005718266,0.0007479535,0.00005239838,0.0001872162,0.002271187],"genre_scores_gemma":[0.9895942,0.001218808,0.004822419,0.0002125206,0.001194257,0.00008840961,0.0001150841,0.00003956643,0.002714718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1402725,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444103205245714,"score_gpt":0.300683264220609,"score_spread":0.2862422321681519,"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."}}