{"id":"W1021008049","doi":"10.1007/s00239-015-9686-8","title":"Pathways of Genetic Code Evolution in Ancient and Modern Organisms","year":2015,"lang":"en","type":"review","venue":"Journal of Molecular Evolution","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Genetic code; Biology; Code (set theory); Selection (genetic algorithm); Evolutionary biology; Genome; Genetics; Gene; Amino acid; Biological evolution; Transfer RNA; Molecular evolution; Computational biology; RNA; Programming language; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009018908,0.0002900051,0.0009242802,0.0002854579,0.00002501514,0.0000137988,0.0002687896,0.000482909,0.000003224313],"category_scores_gemma":[0.0001877148,0.000252385,0.0003078489,0.0001928292,0.0000639544,0.000007700636,0.0001095099,0.0002139067,0.000002130927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002100756,"about_ca_system_score_gemma":0.0007985771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007246336,"about_ca_topic_score_gemma":0.000006184364,"domain_scores_codex":[0.9977343,0.0003779122,0.0009625099,0.0002913067,0.0004025549,0.0002314273],"domain_scores_gemma":[0.9981369,0.00001165333,0.001090966,0.0003175321,0.0003095688,0.0001333373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009611273,0.0002008864,0.00005449494,0.002732566,0.0002274196,0.00008941929,0.00006436702,0.0002624083,0.6060584,0.0003921739,0.0001506734,0.3896711],"study_design_scores_gemma":[0.006867675,0.009439236,0.00155553,0.03313132,0.004916458,0.007914263,0.0003399226,0.0006453817,0.1067766,0.03083181,0.793439,0.004142819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01284724,0.9163274,0.0702526,0.000005837724,0.0001775096,0.0003233279,0.00002633368,0.000002386364,0.00003732176],"genre_scores_gemma":[0.07222519,0.9237501,0.003766472,0.00001102531,0.000142016,0.00001224765,0.00002114715,0.00005373411,0.0000180595],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7932883,"threshold_uncertainty_score":0.9999928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02358787430291122,"score_gpt":0.2690600242240733,"score_spread":0.2454721499211621,"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."}}