{"id":"W2955519173","doi":"10.1371/journal.pbio.3000192","title":"Inferring the distribution of fitness effects of spontaneous mutations in Chlamydomonas reinhardtii","year":2019,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"European Research Council; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; European Commission","keywords":"Biology; Chlamydomonas reinhardtii; Genetics; Mutation rate; Mutation Accumulation; Mutation; Genetic variation; Neutral mutation; Evolutionary biology; Population; Quantitative genetics; Gene; Mutant","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":[0.002002392,0.0003792547,0.0004034275,0.0009626843,0.0003371928,0.000602194,0.0004988577,0.0006629606,0.0002098083],"category_scores_gemma":[0.005615985,0.0005046182,0.0006149585,0.0003695017,0.00043533,0.0004256946,0.0004869277,0.0006169796,0.0001002265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009385165,"about_ca_system_score_gemma":0.0005009856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01301508,"about_ca_topic_score_gemma":0.01258367,"domain_scores_codex":[0.9994889,0.0001724565,0.0000320987,0.0001979801,0.00007086889,0.0000376182],"domain_scores_gemma":[0.9970531,0.002079896,0.0003404976,0.00028183,0.0001440683,0.0001005722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004381446,0.0001298319,0.3539538,0.0001068801,0.0004734778,0.0004479883,0.0004152841,0.3773686,0.232161,0.004890649,0.0001944859,0.02941992],"study_design_scores_gemma":[0.000037636,0.0001353439,0.2370922,0.00002529535,0.0001416206,0.0003515133,0.0001194087,0.7201042,0.03472652,0.006607785,0.0005326281,0.0001257046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772158,0.0001194299,0.02221258,0.00003175324,0.000001671815,0.000007022725,0.0001838346,0.00008611717,0.0001418675],"genre_scores_gemma":[0.9906488,0.00007263717,0.008886284,0.00001890796,0.000001447129,0.000007098062,0.0002566231,0.00001736809,0.00009095541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01301508,"threshold_uncertainty_score":0.02587861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004259223864458006,"score_gpt":0.2272241107538653,"score_spread":0.2229648868894073,"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."}}