{"id":"W2024576792","doi":"10.1103/physreve.77.021919","title":"Plasmid-borne prokaryotic gene expression: Sources of variability and quantitative system characterization","year":2008,"lang":"en","type":"article","venue":"Physical Review E","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; College of Family Physicians of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Florida State University","keywords":"Plasmid; Computational biology; Gene; Biology; Expression (computer science); Gene expression; Characterization (materials science); Genetics; Computer science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009242653,0.0003949604,0.000672942,0.0003063815,0.0001567661,0.0004608628,0.000465298,0.0003450337,0.0003133971],"category_scores_gemma":[0.003283198,0.000191291,0.0003894388,0.0004331871,0.0006043406,0.0005517196,0.0002692519,0.000692613,0.00005224958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008233504,"about_ca_system_score_gemma":0.0003974457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009015515,"about_ca_topic_score_gemma":0.0004940809,"domain_scores_codex":[0.999472,0.0002065082,0.0000274493,0.0001005217,0.0001608599,0.00003277528],"domain_scores_gemma":[0.9983763,0.001225688,0.000162055,0.000157085,0.00005113396,0.00002764027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001774861,0.000120854,0.009319157,0.000446069,0.0001451937,0.0002706317,0.0002012724,0.6769466,0.2356704,0.04882662,0.0002054138,0.02767036],"study_design_scores_gemma":[0.00001111496,0.00006271282,0.003012407,0.000007641756,0.00001858494,0.00008390831,0.00001705556,0.9405195,0.03718057,0.01853296,0.0005302257,0.00002335393],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4800992,0.0006851412,0.5171738,0.0002105706,0.00001157204,0.00005412237,0.0002048821,0.0002511895,0.001309527],"genre_scores_gemma":[0.9731491,0.0003121799,0.02610607,0.00001163534,0.000005283776,0.0000879706,0.0001317521,0.00002167904,0.000174347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009242653,"threshold_uncertainty_score":0.005973816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453299625813446,"score_gpt":0.2619171509113926,"score_spread":0.2473841546532582,"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."}}