{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609009,0.0000747066,0.0001141791,0.00003483136,0.00001829206,0.000004233361,0.0002302377,0.00006429411,0.00002181219],"category_scores_gemma":[0.00002255454,0.00005113439,0.00006226487,0.0001020058,0.00005510191,0.000003632887,0.0000923634,0.00003644081,8.668482e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003758208,"about_ca_system_score_gemma":0.00001835619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008827895,"about_ca_topic_score_gemma":0.00003102882,"domain_scores_codex":[0.9993027,0.00005989166,0.0002139053,0.0001590536,0.0001301857,0.0001342555],"domain_scores_gemma":[0.9994354,0.00001782436,0.00009509066,0.000360533,0.00007072383,0.00002043438],"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":[0.000004007014,0.0000458964,0.0007441762,0.000006461364,0.000007543475,1.963266e-7,0.00005434769,0.07081402,0.9275805,0.00001363733,0.00004700505,0.0006821865],"study_design_scores_gemma":[0.0003723393,0.0001466981,0.01178664,0.00004548637,0.00007459131,0.000007878908,0.0006156315,0.253731,0.7324984,0.000519285,0.000003865722,0.0001981125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642715,0.0004422616,0.0349503,0.00001664732,0.00001270301,0.0001940967,0.000001760785,0.000001915425,0.0001087871],"genre_scores_gemma":[0.9975028,0.00001276493,0.002295602,0.0000105269,0.0000110938,0.00004509284,0.00001348212,0.000006988927,0.0001016446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1950821,"threshold_uncertainty_score":0.20852,"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."}}