{"id":"W4390042673","doi":"10.1101/2023.12.20.572682","title":"A validated pangenome-scale metabolic model for the <i>Klebsiella pneumoniae</i> species complex","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Monash University","keywords":"Klebsiella pneumoniae; In silico; Biology; Model organism; Computational biology; Gene; Genetics; Escherichia coli","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":[0.0002418534,0.0009622057,0.0005833188,0.0005420687,0.0003470492,0.0007473917,0.0006953583,0.0008568243,0.001489174],"category_scores_gemma":[0.0006311664,0.0002947199,0.001262471,0.0005833243,0.0002058177,0.0004348535,0.0005260111,0.000432623,0.0003274104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006952265,"about_ca_system_score_gemma":0.0008390613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01249218,"about_ca_topic_score_gemma":0.007250127,"domain_scores_codex":[0.9998848,0.00002693685,0.000007978054,0.00004202894,0.00001964429,0.00001850913],"domain_scores_gemma":[0.9997837,0.00009661213,0.00002870556,0.000025409,0.00004536444,0.00002016034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009282632,0.00005464019,0.003037184,0.00008866889,0.00003296436,0.0001120389,0.00002147525,0.9823958,0.01095919,0.0008589188,0.000161052,0.002185106],"study_design_scores_gemma":[0.00001367565,0.0000535734,0.0008915541,0.000004186272,0.00001467106,0.00002225887,0.00002081289,0.9958141,0.001880505,0.0005214257,0.0007557933,0.000007439572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8879021,0.0004364226,0.09731919,0.0001589445,0.000038653,0.0001043374,0.007553225,0.0007022774,0.005784919],"genre_scores_gemma":[0.9417073,0.00035831,0.04924485,0.00003816936,0.000009248197,0.0002190947,0.007099003,0.0001230297,0.00120106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01249218,"threshold_uncertainty_score":0.02483892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275234033977093,"score_gpt":0.229871456348704,"score_spread":0.1971191160089331,"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."}}