{"id":"W2886477167","doi":"10.1002/celc.201800968","title":"Flow‐Based Deacidification of <i>Geobacter sulfurreducens</i> Biofilms Depends on Nutrient Conditions: a Microfluidic Bioelectrochemical Study","year":2018,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"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; Microfluidics; Nutrient; Chemistry; Flow conditions; Environmental chemistry; Flow (mathematics); Biochemical engineering; Bacteria; Nanotechnology; Biology; Materials science; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002378778,0.0002520807,0.0002335072,0.00008298249,0.0001340832,0.00002461125,0.0003028181,0.0001347549,0.001509764],"category_scores_gemma":[0.0000521517,0.0002308524,0.0001028337,0.0006083074,0.0002489135,0.00008551103,0.00005946556,0.0001509018,0.0003655187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002619304,"about_ca_system_score_gemma":0.00004280715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005539369,"about_ca_topic_score_gemma":0.00003843365,"domain_scores_codex":[0.9981785,0.00005029338,0.0003990697,0.0005630565,0.000322638,0.000486483],"domain_scores_gemma":[0.9991585,0.00004216769,0.0001829044,0.0004202313,0.00006687221,0.0001293492],"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":[0.0001211086,0.001083883,0.003389172,0.0000119888,0.00001467065,9.201204e-7,0.0002730397,6.844443e-7,0.9880019,0.00001691816,0.006688499,0.0003971451],"study_design_scores_gemma":[0.0008989251,0.000923795,0.002243944,0.000013797,0.00003964161,0.000003188086,0.00008077632,0.0001675159,0.9923441,0.00006236177,0.002973707,0.0002482863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979681,0.00005334467,0.000383391,0.0001869123,0.0001011111,0.0005289288,0.00001998419,0.0000596707,0.0006985466],"genre_scores_gemma":[0.9987049,0.00002667166,0.000411212,0.000318365,0.0001610803,0.00004353977,0.0002394573,0.0000247182,0.00007004761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004342092,"threshold_uncertainty_score":0.999403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009061601786199212,"score_gpt":0.2375091066273362,"score_spread":0.2284475048411369,"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."}}