{"id":"W1993373643","doi":"10.1155/2012/317175","title":"General-Purpose Genotype or How Epigenetics Extend the Flexibility of a Genotype","year":2011,"lang":"en","type":"article","venue":"Genetics Research International","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Epigenetics; Biology; DNA methylation; Genotype; Genetics; Phenotypic plasticity; Evolutionary biology; Flexibility (engineering); Methylation; Genetic variation; Phenotype; Computational biology; Bioinformatics; Gene; Gene expression; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001472206,0.0001961885,0.0001657804,0.0001560419,0.0001761849,0.00006070746,0.00105158,0.0002063655,0.0003819387],"category_scores_gemma":[0.0006151864,0.0001428854,0.0001269106,0.0002734793,0.0004935189,0.000006318531,0.0005773465,0.0002604584,0.00002494802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004549302,"about_ca_system_score_gemma":0.0003287799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006797717,"about_ca_topic_score_gemma":0.0002480056,"domain_scores_codex":[0.9973955,0.0003541413,0.0003899568,0.0005218838,0.0008744153,0.0004641077],"domain_scores_gemma":[0.9973798,0.00007657235,0.0001488362,0.0009013601,0.001342696,0.0001507585],"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":[0.0008558953,0.0003794954,0.01207616,0.00003547303,0.000245032,0.000010802,0.0005676785,0.0004286751,0.9327402,0.001913955,0.001756388,0.04899032],"study_design_scores_gemma":[0.0005057189,0.0008553253,0.02727813,0.00001031256,0.00001868116,0.000007144822,0.0001191034,0.001352962,0.7977018,0.003988557,0.1679273,0.0002350389],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798159,0.004137045,0.007044763,0.0005035946,0.0006118254,0.0005456195,0.0001011879,0.00001111031,0.007228964],"genre_scores_gemma":[0.9789878,0.003990112,0.01077384,0.00006237219,0.0006232722,0.0000526114,0.0001103781,0.00004221313,0.005357371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1661709,"threshold_uncertainty_score":0.58267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1860735814336134,"score_gpt":0.4056415757582168,"score_spread":0.2195679943246034,"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."}}