{"id":"W2842508444","doi":"10.3390/genes9070344","title":"Using a Chemical Genetic Screen to Enhance Our Understanding of the Antibacterial Properties of Silver","year":2018,"lang":"en","type":"article","venue":"Genes","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Nanotechnology; Computational biology; Biology; Biochemical engineering; Chemistry; Materials science; Engineering","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":[0.0004830182,0.0008295715,0.0007185045,0.00123967,0.0002714785,0.0005226202,0.0005672094,0.0007144347,0.001362127],"category_scores_gemma":[0.0005468573,0.0002758453,0.0006845549,0.0007610759,0.0004308973,0.0003280065,0.000474838,0.0006957232,0.0007507493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004434125,"about_ca_system_score_gemma":0.0006329498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009804715,"about_ca_topic_score_gemma":0.002022431,"domain_scores_codex":[0.9993576,0.0001177863,0.00008279609,0.0001000591,0.0002771219,0.00006459725],"domain_scores_gemma":[0.9994661,0.0002521801,0.00009415457,0.00006927814,0.00007543818,0.00004291612],"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":[0.00002464502,0.0000578954,0.0001541454,0.00004317106,0.000005737824,0.0001153407,0.000008899129,0.0001029307,0.9978104,0.0001276378,0.00002661323,0.001522748],"study_design_scores_gemma":[0.00001028771,0.0006143126,0.001908459,0.00001248804,0.00004607232,0.0006237447,0.00003617206,0.0009645865,0.9924896,0.0001300054,0.003153882,0.0000105292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8408428,0.002489896,0.1373301,0.001211491,0.0001915908,0.0009499398,0.004021811,0.001483123,0.01147925],"genre_scores_gemma":[0.8601865,0.005024117,0.1222092,0.0005104673,0.00005147887,0.0003982115,0.003494696,0.0002934967,0.007831724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001362127,"threshold_uncertainty_score":0.004556715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0883110461982134,"score_gpt":0.3005878184015635,"score_spread":0.2122767722033501,"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."}}