{"id":"W2027380711","doi":"10.1534/genetics.114.172890","title":"Survival Probability of Beneficial Mutations in Bacterial Batch Culture","year":2015,"lang":"en","type":"article","venue":"Genetics","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Mutation; Population; Trait; Adaptation (eye); Genetics; Genetic drift; Mutation Accumulation; Survival analysis; Mutation rate; Gene; Demography; Genetic variation; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001881281,0.0001009661,0.0001239514,0.00002747581,0.00001784148,0.000007875778,0.0001374257,0.000157889,0.00001244864],"category_scores_gemma":[0.0001095475,0.0001028081,0.00004715924,0.0001119961,0.00008291028,0.000001345589,0.00007974528,0.00005679435,0.000004675177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001872332,"about_ca_system_score_gemma":0.0001856071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002028446,"about_ca_topic_score_gemma":0.001189355,"domain_scores_codex":[0.9991729,0.00006885443,0.0002491982,0.0002090803,0.0001394196,0.0001605224],"domain_scores_gemma":[0.9994237,0.000004146762,0.00006246225,0.000252043,0.0001754314,0.00008220511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005577674,0.000836694,0.1778557,0.00009213163,0.00008181993,0.0000035637,0.001802005,0.04147482,0.7675287,0.001487339,0.004104668,0.004174854],"study_design_scores_gemma":[0.01436173,0.005748787,0.4205766,0.00006881729,0.0001973675,0.00005709695,0.003579966,0.01519617,0.2965938,0.02541815,0.2156073,0.002594243],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963532,0.0002242566,0.001576853,0.00006236741,0.0003146208,0.0001600747,0.00006070223,0.000005781216,0.001242126],"genre_scores_gemma":[0.9926478,0.00004826131,0.006561835,0.00002360384,0.0001949257,0.000008118213,0.0002998206,0.0000113659,0.0002043258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4709349,"threshold_uncertainty_score":0.4192392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02113316060685049,"score_gpt":0.2701639249372204,"score_spread":0.2490307643303699,"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."}}