{"id":"W2794224775","doi":"10.3389/fmicb.2018.00296","title":"The Genome-Scale Integrated Networks in Microorganisms","year":2018,"lang":"en","type":"review","venue":"Frontiers in Microbiology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Major State Basic Research Development Program of China; National Natural Science Foundation of China","keywords":"Microorganism; Genome; Biology; Computational biology; Scale (ratio); Genetics; Evolutionary biology; Bacteria; Gene; Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005955704,0.0004381175,0.0009229762,0.000195742,0.00007581604,0.00002737412,0.0006290129,0.0009920662,0.000006195422],"category_scores_gemma":[0.00006145945,0.0003082001,0.0002228709,0.0004322166,0.0003034621,0.000001932643,0.0001770813,0.0005485365,0.00001865709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078755,"about_ca_system_score_gemma":0.0001408129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002018755,"about_ca_topic_score_gemma":0.0001701217,"domain_scores_codex":[0.9976935,0.0003218549,0.0006490979,0.0007333106,0.00002263968,0.0005796315],"domain_scores_gemma":[0.9991214,0.000007910127,0.0001970269,0.0005868725,0.00004543637,0.00004137104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001367792,0.0001652227,0.0001341726,0.001447267,0.0004886716,0.00001478761,0.00008345262,0.0001094198,0.2263706,0.000009100357,0.1023145,0.668726],"study_design_scores_gemma":[0.0001810131,0.00006742402,0.000005523892,0.0003959889,0.0000488617,0.00009942202,0.00002146007,0.00000376945,0.0008584167,0.000004648067,0.9979743,0.0003391802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005975531,0.9925532,0.002358308,0.00001550929,0.003849159,0.0005319529,0.00004977185,0.00001463963,0.00002984327],"genre_scores_gemma":[0.00004934814,0.994778,0.001724901,0.00003996373,0.0008612343,0.0000548659,0.001297994,0.00006447178,0.001129193],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8956598,"threshold_uncertainty_score":0.999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005819751278643531,"score_gpt":0.224626556119283,"score_spread":0.2188068048406394,"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."}}