{"id":"W4297086015","doi":"","title":"Stochastic self-regulated gene expression model","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Expression (computer science); Gene expression; Gene; Biology; Genetics; Programming language","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001947758,0.0004356983,0.000393559,0.000139517,0.0002455566,0.0001157251,0.001172318,0.0006325835,0.00006462279],"category_scores_gemma":[0.0002586008,0.0004672527,0.0003571042,0.0001895374,0.0001473801,0.00000694886,0.002006875,0.0003800356,0.00002422307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005861149,"about_ca_system_score_gemma":0.0003425369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001058949,"about_ca_topic_score_gemma":0.0002383823,"domain_scores_codex":[0.9955621,0.002123004,0.0004909382,0.001096235,0.0003264139,0.0004013203],"domain_scores_gemma":[0.9947595,0.0000716254,0.0004880655,0.003005344,0.001441178,0.000234309],"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":[0.00006600698,0.001088658,0.0006110403,0.0001739083,0.0007772206,0.00000461797,0.003760881,0.08357283,0.897154,0.002460509,0.004670783,0.005659498],"study_design_scores_gemma":[0.0004758044,6.77898e-7,0.0003818721,0.0004711494,0.0002183725,0.000009605607,0.00001922354,0.1810533,0.8131953,0.002511641,0.0009625328,0.0007005134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5008184,0.002224514,0.4908357,0.0003726414,0.0001261868,0.0003644781,0.00004004519,0.0001493648,0.005068733],"genre_scores_gemma":[0.922536,0.0003376001,0.0694154,0.00004252844,0.00005621487,0.00007400415,0.001387635,0.00008362538,0.006066957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4217177,"threshold_uncertainty_score":0.9997779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117695632676296,"score_gpt":0.2143761923233817,"score_spread":0.2026066290557521,"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."}}