{"id":"W4361190642","doi":"10.1128/aem.00261-23","title":"Modeling Antibiotic Concentrations in the Vicinity of Antibiotic-Producing Bacteria at the Micron Scale","year":2023,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"Canadian Institutes of Health Research; Agriculture and Agri-Food Canada; Government of Canada; Joint Programming Initiative on Antimicrobial Resistance","keywords":"Antibiotics; Bacteria; Antibiotic resistance; Microbiology; Biology; Microorganism; Biofilm; Genetics","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":[0.0002224987,0.0004775055,0.0004595074,0.0002346382,0.0002255163,0.0008186849,0.0006199669,0.00126903,0.00258407],"category_scores_gemma":[0.001324627,0.0002532694,0.0006605655,0.0003602926,0.0002807228,0.0008539362,0.0003198037,0.0008128858,0.0003656878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009019305,"about_ca_system_score_gemma":0.0009400133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01347106,"about_ca_topic_score_gemma":0.009288448,"domain_scores_codex":[0.9998623,0.00002606481,0.000008223319,0.00005126905,0.00002061916,0.00003146764],"domain_scores_gemma":[0.9996104,0.0001824098,0.00007558496,0.00002952909,0.00007195344,0.00003024245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009374589,0.00004953516,0.003511701,0.00007192588,0.00002413011,0.00009170134,0.00003672868,0.982326,0.008803723,0.003078392,0.0002460075,0.001666408],"study_design_scores_gemma":[0.00002456655,0.0000669568,0.001154591,0.000006125721,0.00002414427,0.00003061771,0.00004145968,0.9923113,0.003673339,0.001777136,0.0008769584,0.00001285505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995972,0.0003042972,0.08472127,0.0006142027,0.0001748986,0.0000706095,0.002219341,0.0002974308,0.01200075],"genre_scores_gemma":[0.9888248,0.0001352698,0.006887685,0.00006656602,0.000007170881,0.00007760263,0.0004261532,0.00002953683,0.003545329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347106,"threshold_uncertainty_score":0.02678531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008559556270364442,"score_gpt":0.1966521834721199,"score_spread":0.1880926272017555,"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."}}