{"id":"W2541297604","doi":"10.1098/rspb.2016.1458","title":"Molecular and cellular bases of adaptation to a changing environment in microorganisms","year":2016,"lang":"en","type":"review","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; PROTEO","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Pleiotropy; Adaptation (eye); Biology; Mechanism (biology); Gene; Molecular evolution; Cellular adaptation; Natural selection; Evolutionary biology; Adaptive response; Computational biology; Adaptive evolution; Genetics; Phenotype; Genome; Selection (genetic algorithm); Computer science; Neuroscience","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":[0.0004296442,0.0007835321,0.001149232,0.001879957,0.0003475325,0.001198699,0.0008152417,0.001266462,0.001835568],"category_scores_gemma":[0.0005471918,0.0002820126,0.0004068581,0.001994283,0.0008122865,0.001657037,0.001013692,0.001398418,0.001310065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006790154,"about_ca_system_score_gemma":0.001177362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007594252,"about_ca_topic_score_gemma":0.001042857,"domain_scores_codex":[0.9998423,0.00002485635,0.00002404404,0.00003492327,0.0000534442,0.00002046422],"domain_scores_gemma":[0.9998048,0.00008100711,0.00003877064,0.000008873524,0.00004198348,0.00002465611],"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":[0.00006268429,0.00004293655,0.0002646325,0.02486538,0.00008324181,0.0003553061,0.0001393963,0.001026203,0.007643183,0.01230227,0.01276374,0.940451],"study_design_scores_gemma":[0.000007143743,0.00007230947,0.001269826,0.003236146,0.00008352388,0.001343741,0.0001084175,0.0001090231,0.00160599,0.005568196,0.9865681,0.00002757619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001631796,0.9984899,0.0001928404,0.0002157847,0.000114449,0.000002608513,0.00001089718,0.000005939612,0.0008043503],"genre_scores_gemma":[0.0009512512,0.9983524,0.0001749366,0.00008055333,0.00008118884,0.000003367068,0.000015501,0.000001016876,0.0003398472],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001879957,"threshold_uncertainty_score":0.00614053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02040674779791544,"score_gpt":0.252345268974818,"score_spread":0.2319385211769025,"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."}}