{"id":"W2916962794","doi":"10.1021/acs.jpcb.8b10974","title":"<i>In Silico</i> Evolution of Biochemical Log-Response","year":2019,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry B","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Foundation for Innovation; Simons Foundation","keywords":"In silico; Computational biology; Biology; Computer science; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004652491,0.0001128401,0.0002412594,0.00001976062,0.00001278194,0.000003193725,0.0003262365,0.00008875731,0.00002727412],"category_scores_gemma":[0.00008005253,0.00008042764,0.0002319279,0.0001629732,0.0001039634,0.000004448515,0.00007763654,0.0001644147,0.000006275086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004118061,"about_ca_system_score_gemma":0.0001034964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002830001,"about_ca_topic_score_gemma":2.746777e-7,"domain_scores_codex":[0.9991212,0.0001065718,0.0002920369,0.0001124136,0.000215351,0.0001523949],"domain_scores_gemma":[0.9991651,0.00006581622,0.0002693105,0.0003275331,0.0001144636,0.00005780556],"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":[0.0008645001,0.0001202529,0.0007109821,0.00002231529,0.00005979994,0.000001163092,0.00003268669,0.003294588,0.9941217,0.000004705949,0.0007400632,0.00002724165],"study_design_scores_gemma":[0.0004724625,0.0001522986,0.001258174,0.00002247507,0.00005529472,0.00003565376,0.0000822801,0.000527491,0.996492,0.000131304,0.0006848301,0.00008570339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989376,0.0005985626,0.00008416285,0.0001594817,0.00002549372,0.00004052638,0.000002558698,0.000001166491,0.0001504666],"genre_scores_gemma":[0.9992712,0.00001602421,0.00002350516,0.00002553168,0.0003489653,5.679007e-7,0.000002245806,0.00001062937,0.0003013503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002767097,"threshold_uncertainty_score":0.3279744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003182215958352463,"score_gpt":0.219477272300152,"score_spread":0.2162950563417996,"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."}}