{"id":"W3105015898","doi":"","title":"DYNAMIC BEHAVIOR OF STOCHASTIC GENE EXPRESSION MODELS IN THE PRESENCE OF BURSTING","year":2013,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bursting; Generality; Expression (computer science); Statistical physics; Gene expression; Computer science; Gene; Biological system; Biology; Physics; Neuroscience; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00166087,0.000776643,0.0009194919,0.0007047266,0.0005061395,0.001646427,0.001068138,0.001369405,0.001014904],"category_scores_gemma":[0.007480761,0.0005789497,0.0007150951,0.0004809588,0.001613091,0.00174743,0.000942176,0.001186732,0.0001554672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733216,"about_ca_system_score_gemma":0.0006914819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005880352,"about_ca_topic_score_gemma":0.002174715,"domain_scores_codex":[0.9993739,0.0002228483,0.00003374104,0.0001297964,0.0001477838,0.00009203124],"domain_scores_gemma":[0.9961823,0.002422023,0.00074074,0.0001581737,0.0002740537,0.0002226106],"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":[0.00006931795,0.00002791227,0.001402092,0.00003908401,0.00004782849,0.0001946875,0.0001517675,0.9057855,0.005468886,0.0850746,0.0002407399,0.001497688],"study_design_scores_gemma":[0.000005471094,0.000008816784,0.0001496025,0.000002863248,0.000004940026,0.00001375475,0.00001189253,0.9923313,0.0001837429,0.007177528,0.0001042743,0.000005800868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5478473,0.00086323,0.4404461,0.001848679,0.00007829324,0.00005379292,0.0002498731,0.0003584723,0.008254299],"genre_scores_gemma":[0.9909809,0.0002797049,0.005951109,0.00007314745,0.00003195441,0.00004827882,0.0001200237,0.00003398148,0.002480891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005880352,"threshold_uncertainty_score":0.01257539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01073644182855445,"score_gpt":0.2411411046075566,"score_spread":0.2304046627790022,"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."}}