{"id":"W2032419921","doi":"10.1016/j.tim.2015.01.005","title":"Is selection relevant in the evolutionary emergence of drug resistance?","year":2015,"lang":"en","type":"review","venue":"Trends in Microbiology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":111,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institute of General Medical Sciences; Science and Technology Directorate; National Institutes of Health; U.S. Department of Homeland Security","keywords":"Biology; Selection (genetic algorithm); Natural selection; Context (archaeology); Resistance (ecology); Population; Drug resistance; Evolutionary biology; Negative selection; Strain (injury); Ecology; Genetics; Demography; Gene; Computer science; Artificial intelligence; Genome","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":[0.001241992,0.0005899236,0.001492397,0.0008319808,0.000279216,0.00173404,0.001145207,0.00212551,0.002434461],"category_scores_gemma":[0.001600224,0.0002370957,0.0003929045,0.001277811,0.001877302,0.002069804,0.0009519273,0.002209984,0.0008912142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008784856,"about_ca_system_score_gemma":0.001127628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001033133,"about_ca_topic_score_gemma":0.00150358,"domain_scores_codex":[0.999756,0.00005447623,0.00002609158,0.00006519522,0.00006288615,0.00003530851],"domain_scores_gemma":[0.9992045,0.0004962248,0.0001100562,0.00002455985,0.0001066444,0.00005814926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000147551,0.00004068171,0.001158753,0.008353638,0.0001418217,0.0003269974,0.00009639197,0.0005710126,0.00287563,0.0263672,0.01931516,0.9406052],"study_design_scores_gemma":[0.00003357742,0.0001304185,0.004752693,0.004958912,0.0002617836,0.001916732,0.0002939721,0.0004926944,0.001400732,0.04000797,0.9456901,0.00006031603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002262799,0.9974636,0.0002256902,0.00128219,0.000222549,0.000001192577,0.000009095091,0.000004396136,0.0005650705],"genre_scores_gemma":[0.002497186,0.9959192,0.0001541421,0.0006964218,0.0004129938,0.000002314576,0.00001333379,0.000001419792,0.0003030687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002434461,"threshold_uncertainty_score":0.008144081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715453936107095,"score_gpt":0.335484961738402,"score_spread":0.3083304223773311,"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."}}