{"id":"W2139900569","doi":"10.1016/j.ejps.2011.06.006","title":"Emergence of the silicon human and network targeting drugs","year":2011,"lang":"en","type":"article","venue":"European Journal of Pharmaceutical Sciences","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; AstraZeneca","keywords":"Computational biology; Homeostasis; Mechanism (biology); Drug development; Neuroscience; Drug discovery; Computer science; Biology; Drug; Bioinformatics; Cell biology; Pharmacology; Epistemology","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":[0.001991183,0.00007526193,0.0001079862,0.00002034372,0.0001791678,0.00001083376,0.0004422556,0.00001399321,0.0001038719],"category_scores_gemma":[0.00005003933,0.0000462483,0.0001043543,0.0001972558,0.0005328552,0.000006496189,0.0001830878,0.00009577876,0.000001042806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001426762,"about_ca_system_score_gemma":0.00002431341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001212379,"about_ca_topic_score_gemma":7.41367e-7,"domain_scores_codex":[0.9987688,0.0003991608,0.0003223432,0.0001318742,0.0002018152,0.0001760054],"domain_scores_gemma":[0.9994604,0.00001007365,0.0002634872,0.00009234362,0.00007232816,0.000101382],"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":[0.00004062285,0.00006362364,0.08859429,0.00001508268,0.0001151204,0.000008276113,0.0004435093,0.001182234,0.8942276,0.0003462021,0.005322212,0.009641261],"study_design_scores_gemma":[0.001061924,0.001283766,0.1419217,0.0001374832,0.0003755153,0.0001168378,0.00137709,0.001555737,0.8146688,0.0006548839,0.03633505,0.0005112099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916855,0.002627187,0.0001663261,0.00008947912,0.0001685734,0.00002899068,3.523815e-7,0.000001335323,0.005232278],"genre_scores_gemma":[0.9985914,0.0002207536,0.0007339965,0.0001086321,0.0003010581,9.514488e-8,1.381761e-7,0.000005553758,0.00003836822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0795588,"threshold_uncertainty_score":0.1963327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03948531263592515,"score_gpt":0.300671318594687,"score_spread":0.2611860059587618,"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."}}