{"id":"W2769324052","doi":"10.1007/s10955-017-1924-6","title":"The Impact of Population Bottlenecks on Microbial Adaptation","year":2017,"lang":"en","type":"article","venue":"Journal of Statistical Physics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Population; Population size; Population bottleneck; Population genetics; Evolutionary biology; Computer science; Ecology; Biology; Demography; Genetics; Sociology; 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":[0.003331857,0.0004376128,0.0008857505,0.0007292868,0.0007553293,0.001543554,0.0008383975,0.001431159,0.004496999],"category_scores_gemma":[0.02303578,0.0003860236,0.000659093,0.0004834821,0.001439184,0.002484767,0.001326803,0.001584884,0.0003896741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009535636,"about_ca_system_score_gemma":0.0005803137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411056,"about_ca_topic_score_gemma":0.001021683,"domain_scores_codex":[0.9991092,0.0003737592,0.00004441238,0.0001529991,0.00009698133,0.000222695],"domain_scores_gemma":[0.9896465,0.006708945,0.001107817,0.0009095959,0.0007342636,0.0008929389],"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":[0.003084034,0.0008004997,0.1493227,0.00106176,0.001933604,0.002589798,0.001197969,0.3880787,0.1517728,0.1688691,0.00617059,0.1251185],"study_design_scores_gemma":[0.0003886353,0.001521716,0.2364268,0.00009394594,0.001182492,0.001183065,0.001279558,0.490269,0.01677744,0.2458867,0.004631527,0.0003591958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881604,0.0008569272,0.005675807,0.001065311,0.0000872,0.000008100328,0.0001143314,0.0001020631,0.003929933],"genre_scores_gemma":[0.9991422,0.0002077123,0.0002499865,0.00006153416,0.00002880434,0.00000466434,0.00002967643,0.00001880156,0.0002565898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004496999,"threshold_uncertainty_score":0.01762074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348221425788403,"score_gpt":0.3209744313373765,"score_spread":0.3074922170794924,"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."}}