{"id":"W3037444187","doi":"10.1101/2020.06.26.173039","title":"Estimation of the SNP mutation rate in two vegetatively propagating species of duckweed","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mutation rate; Mutation; Biology; Mutation breeding; Mutation Accumulation; Botany; Genetics; Horticulture; Mutant; Gene","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":[0.0003865193,0.00023183,0.0003164951,0.0009071092,0.0003657647,0.0003029532,0.0004152451,0.0003857386,0.0003104089],"category_scores_gemma":[0.0008734801,0.0001212147,0.0001667365,0.0003644408,0.0001508191,0.0001704994,0.0002256615,0.0002521939,0.0001203706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005471798,"about_ca_system_score_gemma":0.00009889183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004689495,"about_ca_topic_score_gemma":0.006540942,"domain_scores_codex":[0.9998172,0.00002911696,0.00002400476,0.00007573302,0.00004080564,0.00001329449],"domain_scores_gemma":[0.9990857,0.0003899662,0.0001996317,0.0001039066,0.0001368346,0.00008402014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001710743,0.00003539898,0.06192545,0.00003964218,0.00002663527,0.0001821727,0.0002613431,0.0008040741,0.9303047,0.00008089296,0.00002558808,0.006142965],"study_design_scores_gemma":[0.00002157084,0.0003269457,0.7759328,0.0000158833,0.00006337606,0.0007670972,0.0004322845,0.01018116,0.2104374,0.0001760512,0.001602677,0.00004266472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984978,0.00004030511,0.001072393,0.000004156243,0.000001311507,0.000006056358,0.0002152159,0.00001722054,0.0001455228],"genre_scores_gemma":[0.9952471,0.00003847318,0.003671205,0.000007888259,0.00000100877,0.00001399456,0.0007441228,0.00001253118,0.0002636904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004689495,"threshold_uncertainty_score":0.009324372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485671116250123,"score_gpt":0.2487477717724589,"score_spread":0.2338910606099577,"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."}}