{"id":"W2138018084","doi":"10.1109/cibcb.2006.330974","title":"Developing Antibiotic Regimens Using Evolutionary Algorithms","year":2006,"lang":"en","type":"article","venue":"","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Antibiotics; Campylobacter; Bacteria; Antibiotic resistance; Biology; Population; Biotechnology; Microbiology; Medicine; Environmental health; Genetics","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":[0.0008871526,0.001118158,0.001104149,0.001411712,0.0004397474,0.0009031706,0.001386659,0.001595,0.003683129],"category_scores_gemma":[0.004208092,0.000606612,0.0008893603,0.0006679841,0.0004207809,0.0008977567,0.0006957753,0.0008942747,0.0005231959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007678592,"about_ca_system_score_gemma":0.001233346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003850664,"about_ca_topic_score_gemma":0.003941902,"domain_scores_codex":[0.999622,0.0001495451,0.00003045411,0.00007184764,0.00007810018,0.00004804808],"domain_scores_gemma":[0.998785,0.0008346886,0.0001277514,0.0000498001,0.0001611206,0.00004168517],"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":[0.00007405688,0.0001627502,0.00179425,0.0001048827,0.00006966753,0.00006489104,0.00004848767,0.8795128,0.002235249,0.002651428,0.000892563,0.112389],"study_design_scores_gemma":[0.00004935641,0.00009686712,0.0002442652,0.00002091926,0.00003903382,0.00002869294,0.00003355114,0.9951054,0.0007545041,0.002343076,0.001275037,0.000009329138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1493423,0.001718522,0.8301302,0.001170827,0.0001881098,0.0005400562,0.0002180283,0.001506576,0.01518546],"genre_scores_gemma":[0.5308743,0.0008362883,0.4626116,0.0006884416,0.00007916613,0.0006671905,0.0003010104,0.0002056149,0.003736336],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003850664,"threshold_uncertainty_score":0.01232129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896015320812999,"score_gpt":0.2468509663995292,"score_spread":0.2278908131913992,"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."}}