{"id":"W2952250705","doi":"10.1101/623652","title":"Toggling <i>Geobacter sulfurreducens</i> metabolic state reveals hidden behaviour and expanded applicability to sustainable energy applications","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Geobacter sulfurreducens; Biofilm; Geobacter; Metabolic activity; Biochemical engineering; Chemistry; Bioremediation; Nanotechnology; Biophysics; Biological system; Materials science; Bacteria; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001324369,0.0002395897,0.0001869374,0.0001576418,0.0001179713,0.000500416,0.0001863695,0.0002537707,0.0009841266],"category_scores_gemma":[0.0001544301,0.0001075884,0.0002079513,0.0001664855,0.0002324352,0.000228474,0.0002318577,0.0003755045,0.0002395484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002369574,"about_ca_system_score_gemma":0.0001500188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001889891,"about_ca_topic_score_gemma":0.001632955,"domain_scores_codex":[0.9999317,0.000005184794,0.000003193607,0.00002189138,0.00002170313,0.00001628043],"domain_scores_gemma":[0.9999563,0.00000783495,0.000009449186,0.000007957528,0.000009775539,0.000008753841],"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":[0.00003732407,0.00000892836,0.0004219415,0.00002115423,0.00000443402,0.00003322608,0.00002668405,0.0001215888,0.9967307,0.0002146736,0.0001357269,0.002243642],"study_design_scores_gemma":[0.000006339039,0.00007626478,0.006230605,0.000004877225,0.000009585787,0.00009124139,0.00007968787,0.004401998,0.9863686,0.0004524502,0.002265332,0.0000128983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915821,0.0004709726,0.005319215,0.0002931453,0.00004719791,0.00001043187,0.0005612583,0.0002074984,0.001508222],"genre_scores_gemma":[0.9951454,0.0002786751,0.002317413,0.00006795814,0.00000743859,0.000008195234,0.0004824042,0.00003483607,0.001657615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889891,"threshold_uncertainty_score":0.003757775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006320058788333564,"score_gpt":0.1981366164827979,"score_spread":0.1918165576944644,"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."}}