{"id":"W2025039245","doi":"10.1016/j.biosystems.2013.09.003","title":"Development of antibiotic regimens using graph based evolutionary algorithms","year":2013,"lang":"en","type":"article","venue":"Biosystems","topic":"Aquaculture disease management and microbiota","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Antibiotics; Antibiotic resistance; Evolutionary algorithm; Graph; Biology; Algorithm; Computer science; Machine learning; Microbiology; Theoretical computer science","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":[0.0008246707,0.0009479067,0.0009977131,0.001399738,0.0004851054,0.0007540438,0.001380523,0.001119362,0.004427363],"category_scores_gemma":[0.003751696,0.000505685,0.001015663,0.0006517112,0.0003713642,0.00083721,0.0007320725,0.001018489,0.0005908413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000711509,"about_ca_system_score_gemma":0.001555394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341789,"about_ca_topic_score_gemma":0.005567786,"domain_scores_codex":[0.9996314,0.0001526874,0.00002801251,0.00006204839,0.00008725626,0.00003866593],"domain_scores_gemma":[0.9986877,0.0008731037,0.00008831114,0.00006844413,0.000225088,0.00005733405],"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":[0.00009423048,0.0001444729,0.001110776,0.00009192472,0.00006879291,0.00005938453,0.00003198869,0.8402378,0.002209883,0.004019802,0.001460111,0.1504709],"study_design_scores_gemma":[0.00002602919,0.00005271174,0.00009973601,0.000009500685,0.00002085562,0.0000189604,0.00001190885,0.9959679,0.0006176233,0.002544961,0.0006251975,0.000004638971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03892725,0.0004673991,0.9529076,0.00048418,0.0001219314,0.0002275624,0.0001765078,0.001384918,0.005302588],"genre_scores_gemma":[0.3852902,0.0003982632,0.610449,0.000368059,0.00006428445,0.0004378383,0.0003868933,0.0002500534,0.002355329],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004427363,"threshold_uncertainty_score":0.01481104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01998482738300233,"score_gpt":0.2283912552723685,"score_spread":0.2084064278893662,"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."}}