{"id":"W2537540552","doi":"10.1109/iembs.2004.1403818","title":"Consequences of deterministic and stochastic modeling of a promoter","year":2005,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stochastic modelling; Stochastic process; Statistical physics; Computer science; Mathematics; Applied mathematics; Physics; Statistics","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":[0.00007005803,0.00005751039,0.0001126562,0.00002477659,0.00001156532,0.000002258071,0.00005241138,0.00004300977,0.00001317999],"category_scores_gemma":[0.00001834079,0.00004894365,0.00003803331,0.00003239181,0.0001074828,9.914024e-7,0.00003481196,0.00001405529,4.300031e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001671458,"about_ca_system_score_gemma":0.00002940185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005865667,"about_ca_topic_score_gemma":0.00001995428,"domain_scores_codex":[0.9995706,0.00001484115,0.000162345,0.0001242243,0.00005402835,0.00007393165],"domain_scores_gemma":[0.9997334,0.000004596905,0.00005224004,0.0001324634,0.00004933641,0.0000279093],"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":[0.00001967076,0.00002351517,0.0003521363,0.0000231563,0.00006473222,2.365198e-7,0.0000431791,0.08728274,0.9093618,0.00007361027,0.00001383578,0.002741406],"study_design_scores_gemma":[0.0003694925,0.0002706856,0.0001445157,0.00002856983,0.0001280623,0.00002761646,0.00009990927,0.5292956,0.4690713,0.0003207749,0.00006240179,0.0001811089],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742392,0.000495996,0.02497035,0.00003093345,0.000006061395,0.0000479499,0.000001922842,0.000001928738,0.000205596],"genre_scores_gemma":[0.9973302,0.00001701016,0.002484715,0.0000177612,0.00003167714,0.000002269505,0.000003415639,0.000004678037,0.0001082955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4420128,"threshold_uncertainty_score":0.1995864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277396747406305,"score_gpt":0.2435004037883803,"score_spread":0.2307264363143172,"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."}}