{"id":"W2505644712","doi":"10.1007/978-1-61779-827-6","title":"Microbial Systems Biology","year":2012,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Army Medical Research Institute of Infectious Diseases; Los Alamos National Laboratory; Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Macquarie University; University of Toronto Scarborough; School of Medicine, Indiana University; U.S. Department of Energy; Technische Universiteit Delft; Earth Sciences Division; University of New South Wales; Norges Teknisk-Naturvitenskapelige Universitet; Lawrence Livermore National Laboratory; University of Toronto; U.S. Army","keywords":"Biology; Computational biology; Evolutionary biology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002192582,0.0005152563,0.001048394,0.0001947401,0.0001130614,0.000008808595,0.001087178,0.002352378,0.006282377],"category_scores_gemma":[0.0001709468,0.0005029759,0.0002118289,0.0001518594,0.001197547,0.00003027751,0.001303953,0.001529781,0.001188048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412684,"about_ca_system_score_gemma":0.00008051555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004341835,"about_ca_topic_score_gemma":0.0002446726,"domain_scores_codex":[0.9919263,0.005804534,0.0006408988,0.0007009867,0.0000415935,0.0008857624],"domain_scores_gemma":[0.9979756,0.0006313253,0.0003351755,0.0009290391,0.00001282835,0.0001159944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004800953,0.0001155296,0.00120285,0.00004457422,0.0001060076,0.00002171395,0.000136323,0.00009418961,0.944207,0.02683191,0.02108636,0.006105606],"study_design_scores_gemma":[0.0003364039,0.000198517,0.0001114851,0.00002334757,0.00005371045,0.00006093908,0.000005202073,0.00001737366,0.002312191,0.04862197,0.9476484,0.0006104361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001272764,0.004741588,0.2582681,0.0001555231,0.005383878,0.001280681,0.000154047,0.0001164022,0.728627],"genre_scores_gemma":[0.001550954,0.0004999721,0.6126032,0.004013577,0.0008833566,0.0002711981,0.003159642,0.0002896877,0.3767284],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9418947,"threshold_uncertainty_score":0.9997422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342051324528586,"score_gpt":0.3539555506950179,"score_spread":0.3305350374497321,"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."}}