{"id":"W4394421497","doi":"10.6084/m9.figshare.20479737","title":"Additional file 2 of In silico-guided metabolic engineering of Bacillus subtilis for efficient biosynthesis of purine nucleosides by blocking the key backflow nodes","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Bacillus subtilis; Blocking (statistics); In silico; Backflow; Key (lock); Chemistry; Computational biology; Biochemistry; Computer science; Biology; Bacteria; Gene; Genetics; Engineering; Computer network; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001255904,0.001955171,0.001556824,0.00166348,0.0007329059,0.002160572,0.002640246,0.002373017,0.34052],"category_scores_gemma":[0.008034442,0.0007829861,0.001359425,0.00293337,0.0004112896,0.001507682,0.001143578,0.001761936,0.08972887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396283,"about_ca_system_score_gemma":0.002011544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009172651,"about_ca_topic_score_gemma":0.01800952,"domain_scores_codex":[0.9993042,0.0001117881,0.00008849341,0.0002792053,0.0001276893,0.00008864426],"domain_scores_gemma":[0.9965143,0.002290649,0.0002710113,0.0003719011,0.0003922612,0.0001600378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003487621,0.0001198912,0.003482184,0.006752267,0.0001506013,0.0000867636,0.00004328917,0.002929638,0.000445537,0.001217922,0.9803948,0.004028338],"study_design_scores_gemma":[0.00323337,0.0001558995,0.008906923,0.001726937,0.0002634622,0.0002027371,0.0001410594,0.003957715,0.0013928,0.005867818,0.9740707,0.00008057189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008304203,0.00002422547,0.00005427126,0.0000251023,0.000006073721,0.000008680222,0.9995313,0.0001088815,0.0001584697],"genre_scores_gemma":[0.001031134,0.00005324397,0.0005750941,0.00006939358,0.000005678306,0.0001547603,0.9975653,0.00008918609,0.0004562023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.34052,"threshold_uncertainty_score":0.9406682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01876296688729901,"score_gpt":0.269016328090924,"score_spread":0.250253361203625,"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."}}