{"id":"W2736847854","doi":"10.1111/1751-7915.12785","title":"Metal‐based antimicrobial strategies","year":2017,"lang":"en","type":"article","venue":"Microbial Biotechnology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Bioremediation; Antimicrobial; Sustainability; Profiling (computer programming); Biotechnology; Human health; Business; Risk analysis (engineering); Biochemical engineering; Computer science; Medicine; Engineering; Environmental health; Biology; Microbiology; Bacteria; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000295787,0.0006848188,0.0003115103,0.0004122959,0.0003612665,0.0007733414,0.0009807252,0.0007549223,0.002528914],"category_scores_gemma":[0.0002450517,0.0002147612,0.0003667666,0.0002226338,0.0003711191,0.0006996245,0.000876818,0.0007217804,0.001423137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006621577,"about_ca_system_score_gemma":0.0002593063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003653181,"about_ca_topic_score_gemma":0.000705987,"domain_scores_codex":[0.9996892,0.00005538061,0.00002517712,0.00006108436,0.00009295608,0.00007624703],"domain_scores_gemma":[0.9999269,0.00001041086,0.00001448977,0.00001204805,0.00002334011,0.000012661],"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":[0.0001513649,0.000238326,0.000235254,0.001693667,0.00006354861,0.0003652411,0.0001652413,0.001013797,0.884167,0.02962398,0.004251489,0.07803109],"study_design_scores_gemma":[0.00003055853,0.000595154,0.0002517206,0.000125362,0.00004043047,0.000573688,0.000086393,0.001683934,0.8490111,0.002710364,0.1448662,0.00002518129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4053303,0.1782013,0.1724349,0.006814142,0.002851585,0.001299874,0.0009891011,0.001702985,0.2303758],"genre_scores_gemma":[0.8466629,0.05146506,0.04945593,0.002421733,0.0001873903,0.0004487294,0.000411639,0.00008954983,0.04885715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002528914,"threshold_uncertainty_score":0.008460045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815404522325622,"score_gpt":0.2606958586573079,"score_spread":0.2425418134340517,"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."}}