{"id":"W2081572309","doi":"10.1016/j.jconhyd.2010.11.007","title":"Direct coupling of a genome-scale microbial in silico model and a groundwater reactive transport model","year":2010,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Pacific Northwest National Laboratory; Battelle","keywords":"Bioremediation; In silico; Biological system; Biochemical engineering; Environmental science; Microorganism; Groundwater; Chemistry; Environmental chemistry; Ecology; Contamination; Biology; Bacteria; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.0005173511,0.0001165689,0.0003533036,0.00008953946,0.00002939994,0.000004657031,0.000146982,0.000149956,0.00009417272],"category_scores_gemma":[0.00001238479,0.00009097697,0.00006854477,0.00007441921,0.0002140768,0.000134406,0.00003563773,0.0002878554,0.000003966776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477727,"about_ca_system_score_gemma":0.00003685102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001136598,"about_ca_topic_score_gemma":0.002533572,"domain_scores_codex":[0.9989912,0.00001531262,0.0004975373,0.0001580372,0.0001319981,0.0002059379],"domain_scores_gemma":[0.9994669,0.0000284782,0.0003098791,0.00009060994,0.00002285582,0.00008130825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002495418,0.0001330126,0.03383235,0.000004643025,0.000008852719,0.00001660119,0.00096196,0.01244159,0.9521972,0.00000481618,0.00001103615,0.0001384195],"study_design_scores_gemma":[0.004595635,0.0008197945,0.2249435,0.00003885364,0.0001179341,0.0004514582,0.0001081637,0.4745775,0.2926696,0.0003115761,0.0008839569,0.0004820234],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987763,0.0000163791,0.0004733838,0.0001804037,0.00008923993,0.0001063248,0.00001159781,0.000002239103,0.0003441139],"genre_scores_gemma":[0.9988611,0.00005792627,0.000819987,0.0001304665,0.00002274569,6.988083e-7,0.000001436911,0.000008213389,0.00009746952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6595276,"threshold_uncertainty_score":0.3709933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006222642740910934,"score_gpt":0.2041078851903516,"score_spread":0.1978852424494407,"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."}}