{"id":"W4297977071","doi":"","title":"Bursting in gene expression","year":2015,"lang":"fr","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); Gene expression; Gene; Computational biology; Artificial intelligence; Genetics; Biology; Neuroscience; 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":[0.007045879,0.0004902591,0.0005294693,0.0001781322,0.000223151,0.0001803779,0.001240572,0.0007629714,0.0001038462],"category_scores_gemma":[0.001393406,0.0005729112,0.0003274206,0.0004512576,0.0002870228,0.00001334201,0.002205668,0.0005848965,0.00005229664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000204198,"about_ca_system_score_gemma":0.000547584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007745374,"about_ca_topic_score_gemma":0.002133582,"domain_scores_codex":[0.9898165,0.00712986,0.0007741151,0.001266978,0.0004255582,0.0005869172],"domain_scores_gemma":[0.9940612,0.000251704,0.000617486,0.002682246,0.002050646,0.0003366633],"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":[0.00007956305,0.001522036,0.04678638,0.0003219199,0.000378329,0.00003450669,0.006185448,0.01864332,0.8516385,0.007284602,0.007339142,0.05978624],"study_design_scores_gemma":[0.001016957,0.000001014623,0.004566653,0.002115354,0.0001203878,0.00002641976,0.0001936814,0.02343612,0.9054144,0.001593012,0.06059979,0.0009161829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893978,0.0176509,0.05920126,0.004665091,0.000377401,0.0004473249,0.00004896961,0.00005486156,0.02357618],"genre_scores_gemma":[0.9227446,0.001844285,0.05456951,0.000060987,0.0001363716,0.00006193214,0.001439043,0.00007656318,0.01906677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05887005,"threshold_uncertainty_score":0.9996722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01421747714367942,"score_gpt":0.2320656179943041,"score_spread":0.2178481408506246,"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."}}