{"id":"W4304777627","doi":"10.21203/rs.3.rs-2140595/v1","title":"Rapid combinatorial rewiring of metabolic networks for enhanced poly(3- hydroxybutyrate) production in Corynebacterium glutamicum","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Corynebacterium glutamicum; Metabolic engineering; Polyhydroxyalkanoates; Synthetic biology; Metabolic pathway; Chemistry; Biochemistry; Industrial microbiology; Metabolism; Computational biology; Biochemical engineering; Bacteria; Biology; Gene; Fermentation; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001841019,0.0006459552,0.0004344216,0.0002797828,0.0001579998,0.0005023935,0.0002785348,0.0002392225,0.000340067],"category_scores_gemma":[0.000178366,0.0001933169,0.0004149921,0.0003422049,0.0001981549,0.0002248565,0.000439734,0.00040712,0.000156468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004173174,"about_ca_system_score_gemma":0.000305339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007303791,"about_ca_topic_score_gemma":0.0012133,"domain_scores_codex":[0.9998406,0.00001999402,0.00001543685,0.00004914373,0.00003636059,0.00003837149],"domain_scores_gemma":[0.9998997,0.00001203657,0.00003334339,0.00001595325,0.00001359946,0.00002528836],"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":[0.00005193346,0.00003278687,0.0001537545,0.00004664213,0.000009991222,0.00004645524,0.000008763579,0.001447078,0.9959465,0.00007585024,0.00002668229,0.002153632],"study_design_scores_gemma":[0.00002884415,0.0003697871,0.001467619,0.000011072,0.0000308165,0.0001011333,0.00002468821,0.01000409,0.9856872,0.0001085907,0.002153482,0.00001282444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826622,0.0007676963,0.01445151,0.00009609979,0.000026675,0.0001089878,0.0004092942,0.000240644,0.001236825],"genre_scores_gemma":[0.9789736,0.0006886359,0.01872999,0.00004974784,0.000003516688,0.0001064332,0.0006460186,0.00004607746,0.0007559543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007303791,"threshold_uncertainty_score":0.003027916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05968596864030594,"score_gpt":0.3271917954311069,"score_spread":0.2675058267908009,"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."}}