{"id":"W1548314564","doi":"10.1103/physreve.80.041916","title":"Predictions from a stochastic polymer model for the MinDE protein dynamics in<i>Escherichia coli</i>","year":2009,"lang":"en","type":"article","venue":"Physical Review E","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"","keywords":"Stochastic modelling; Oscillation (cell signaling); Dynamics (music); Statistical physics; Distribution (mathematics); Polymer; Probability distribution; Stochastic process; Biological system; Mathematics; Physics; Biology; Mathematical analysis; Statistics; Genetics","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":[0.0000689518,0.0001199736,0.0001594881,0.000007945268,0.00005473057,0.000008645065,0.0001638259,0.00004301026,0.000002277066],"category_scores_gemma":[0.00007875562,0.00008921738,0.0001307196,0.00009031939,0.00004131575,0.000002237349,0.00002770559,0.00009256582,0.000003809384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002515152,"about_ca_system_score_gemma":0.00006480944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001471148,"about_ca_topic_score_gemma":0.0001056945,"domain_scores_codex":[0.9993254,0.0000267542,0.000160815,0.000225947,0.00009037762,0.000170721],"domain_scores_gemma":[0.9995431,0.00002078789,0.0000521203,0.0002918762,0.00003821508,0.00005385476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004110319,0.002552963,0.00009439394,0.0005168921,0.0002988461,0.000001401015,0.0002191561,0.0813399,0.8103059,0.04184274,0.01155542,0.05086138],"study_design_scores_gemma":[0.0002732447,0.0001053602,0.0003364775,0.0001317656,0.00006498105,3.664306e-7,0.000008276167,0.9948088,0.0005553025,0.00279203,0.0007973931,0.0001260173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1283332,0.03110828,0.8327926,0.004985298,0.00008273485,0.00198325,0.0003642574,0.00002097806,0.0003294327],"genre_scores_gemma":[0.9944445,0.001263375,0.0006300269,0.002361075,0.0001658493,0.00026739,0.0001990544,0.00001333725,0.0006553641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9134689,"threshold_uncertainty_score":0.3638179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084456941175165,"score_gpt":0.2785325376420769,"score_spread":0.2676879682303252,"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."}}