{"id":"W1576327587","doi":"10.1109/cec.2003.1299556","title":"Transcription and evolution of a virtual bacteria culture","year":2003,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Gene; Bacteria; Genome; Transcription (linguistics); Bacterial genome size; Synthetic biology; Inheritance (genetic algorithm); Computational biology; DNA; Genetics; Biology; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00006628272,0.00005573193,0.00006700796,0.00001674066,0.00001945674,0.00000369806,0.00002549233,0.0000766632,0.00003184714],"category_scores_gemma":[0.000008719021,0.00004801975,0.00004356204,0.00005337287,0.00003158553,0.000001446968,0.000005942546,0.00001618514,9.814469e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005374523,"about_ca_system_score_gemma":0.00001578206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004118171,"about_ca_topic_score_gemma":0.00002078565,"domain_scores_codex":[0.9996408,0.00003821206,0.00008596334,0.0001255801,0.00004228954,0.0000671967],"domain_scores_gemma":[0.9998048,7.139586e-7,0.00002573795,0.0001061452,0.00003411052,0.00002848753],"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":[0.00001052269,0.00001283259,0.002650291,0.000003457323,0.00003063345,5.971785e-8,0.0000207791,0.00004510008,0.9949182,0.001655893,0.0003725075,0.0002796928],"study_design_scores_gemma":[0.0004672138,0.0002810827,0.01658924,0.000004790176,0.00006734041,0.00001343014,0.0002650782,0.0001225748,0.9565731,0.0002211823,0.02524695,0.0001480482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895764,0.0008281812,0.008480972,0.000009068668,0.00003047357,0.00003729976,0.000001787149,0.000003277868,0.001032568],"genre_scores_gemma":[0.9976478,0.00008486325,0.0008973937,0.00001485627,0.00002690421,0.000001906606,0.0000159058,0.000004418315,0.001305956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03834517,"threshold_uncertainty_score":0.1958189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004545600038504772,"score_gpt":0.1984814061557155,"score_spread":0.1939358061172108,"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."}}