{"id":"W4289388832","doi":"","title":"Bursting in gene expression model","year":2015,"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":"Bursting; Computer science; Expression (computer science); Artificial intelligence; Neuroscience; Biology; 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":[0.003631295,0.0002881207,0.0003093373,0.0001375499,0.0001100239,0.0001030775,0.000855273,0.0004373589,0.00001451581],"category_scores_gemma":[0.0006536927,0.0003195951,0.0001858658,0.0001954175,0.0001017176,0.000005733978,0.001830054,0.0003588246,0.000008213397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007942258,"about_ca_system_score_gemma":0.0003748313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000182918,"about_ca_topic_score_gemma":0.0006673416,"domain_scores_codex":[0.995977,0.002163691,0.0004292929,0.0008232765,0.0002903464,0.0003163918],"domain_scores_gemma":[0.9963009,0.00007106832,0.0003382926,0.001979331,0.001143525,0.0001669345],"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":[0.00004473883,0.0005977733,0.01031475,0.0001505414,0.000154969,0.00000825564,0.003049562,0.1880256,0.778518,0.001022063,0.005938355,0.01217541],"study_design_scores_gemma":[0.000523862,3.5578e-7,0.0005524216,0.00070029,0.00004814591,0.000005469605,0.00005430568,0.264894,0.7280772,0.002378851,0.002224148,0.0005409294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.851197,0.003198976,0.134667,0.0008579261,0.00009080692,0.0002518152,0.00002797306,0.00004872675,0.009659767],"genre_scores_gemma":[0.9351864,0.0004376433,0.05851017,0.00004232248,0.00005098473,0.00005052803,0.001017747,0.00004902396,0.004655213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08398934,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738179695308969,"score_gpt":0.2387808555172828,"score_spread":0.2213990585641931,"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."}}