{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007252435,0.000220335,0.0002804874,0.0004907439,0.0005853692,0.00106476,0.0006157711,0.0009220014,0.003236095],"category_scores_gemma":[0.003509385,0.0002536584,0.0004732402,0.000183881,0.002396832,0.001698266,0.0009771655,0.0007255943,0.0002737144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006600394,"about_ca_system_score_gemma":0.0002588938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004634583,"about_ca_topic_score_gemma":0.0002064441,"domain_scores_codex":[0.9995618,0.0001523673,0.00001638091,0.00008804569,0.0001356284,0.00004577051],"domain_scores_gemma":[0.9987401,0.0007300613,0.0001516936,0.0002189882,0.00007817675,0.00008097752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002612001,0.00001584555,0.0002851495,0.00009120378,0.000008765776,0.0001099217,0.0001279575,0.009827673,0.006351282,0.9786102,0.0003172759,0.004228609],"study_design_scores_gemma":[0.00003129075,0.0001116772,0.001090156,0.00003394652,0.00001682126,0.000467483,0.0001356187,0.1147446,0.008335249,0.862751,0.01224915,0.0000330523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5211456,0.006198118,0.3199822,0.00411698,0.0003726847,0.00006714463,0.0004249468,0.0003014074,0.1473908],"genre_scores_gemma":[0.9626818,0.0008563888,0.03112979,0.000200966,0.000104771,0.0001228644,0.000115356,0.00005754133,0.00473045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003236095,"threshold_uncertainty_score":0.01082581,"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."}}