{"id":"W2961238059","doi":"10.20944/preprints201907.0120.v1","title":"Epigenetics Theoretical Limits of Synthetic Genomes: The Cases of Artificials <em>Caulobacter </em>(<em>C. eth-2.0), Mycoplasma Mycoides (JCVI-Syn 1.0, JCVI-Syn 3.0 and JCVI_3A), E-coli and YEAST chr XII</em>","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Pontifícia Universidade Católica do Rio de Janeiro; Universidad de Buenos Aires; Consejo Nacional de Investigaciones Científicas y Técnicas; Instituto Balseiro, Universidad Nacional de Cuyo; Universidade de São Paulo; Strong","keywords":"Caulobacter crescentus; Genome; Mycoplasma mycoides; Mycoplasma genitalium; Biology; Genetics; Circular bacterial chromosome; Gene; Mycoplasma; Bacterial protein; Virology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002171065,0.001523174,0.002069047,0.0003476747,0.0004721993,0.00034692,0.001864949,0.001220902,0.01022134],"category_scores_gemma":[0.001096131,0.00130763,0.0007477225,0.0004818234,0.002556038,0.0004210372,0.005181524,0.001578701,0.001972099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004128154,"about_ca_system_score_gemma":0.0002390141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002997987,"about_ca_topic_score_gemma":0.001438201,"domain_scores_codex":[0.9912815,0.0009251417,0.002411242,0.002750607,0.001174641,0.001456835],"domain_scores_gemma":[0.9928759,0.001287777,0.001634385,0.003277136,0.0002923429,0.0006324869],"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":[0.0004951306,0.001043785,0.02097304,0.0008044825,0.0006944179,0.00008698914,0.008061258,0.001244666,0.9570868,0.001452288,0.0005542687,0.007502846],"study_design_scores_gemma":[0.001534089,0.0005559245,0.5649346,0.001969679,0.001738422,0.001005681,0.001775884,0.001308344,0.3839737,0.002951252,0.03516386,0.003088641],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881561,0.001543385,0.0001725615,0.0005928443,0.001451947,0.002637275,0.0009940988,0.0001402904,0.004311533],"genre_scores_gemma":[0.9912686,0.004338704,0.0006523569,0.0003182081,0.0002894588,0.0002584281,0.0001060074,0.0002273222,0.002540956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5731131,"threshold_uncertainty_score":0.9997517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04412918104951422,"score_gpt":0.2844413899450097,"score_spread":0.2403122088954955,"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."}}