{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004877128,0.000249693,0.000317343,0.0002637589,0.0005349503,0.001893427,0.0007987772,0.0004362069,0.002168719],"category_scores_gemma":[0.002454537,0.0002967007,0.0003621562,0.000246989,0.0009353418,0.0007212634,0.001054154,0.0006730776,0.0005232163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165175,"about_ca_system_score_gemma":0.0007303234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002013505,"about_ca_topic_score_gemma":0.001018203,"domain_scores_codex":[0.9995031,0.0001279667,0.00002422375,0.000108155,0.0001910907,0.00004538966],"domain_scores_gemma":[0.9991187,0.000347665,0.000078677,0.0001880236,0.0001494559,0.0001173087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004965476,0.0002348885,0.009611993,0.0001886538,0.0000888145,0.0008684511,0.00108766,0.4654882,0.2164082,0.249642,0.002203664,0.05368086],"study_design_scores_gemma":[0.0001118645,0.0001968696,0.001584466,0.00003063077,0.00005160906,0.0001833901,0.0003120394,0.8342029,0.1033972,0.03162459,0.02824914,0.00005532748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6289631,0.0002427264,0.3447702,0.0005989785,0.000313431,0.0001186147,0.0003426817,0.001517405,0.02313291],"genre_scores_gemma":[0.8858063,0.0001793391,0.1031482,0.00009626162,0.00001922205,0.0001833731,0.0003940116,0.0001419307,0.01003138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002168719,"threshold_uncertainty_score":0.008454025,"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."}}