{"id":"W4391293763","doi":"10.1101/2024.01.25.577134","title":"Unification of cell-scale metabolic activity with biofilm behavior by integration of advanced flow and reactive-transport modeling and microfluidic experiments","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Queen's University","funders":"Government of Canada; Ontario Genomics; Genome Canada","keywords":"Biofilm; Geobacter sulfurreducens; Geobacter; Chemistry; Biochemical engineering; Biophysics; Biological system; Microfluidics; Nanotechnology; Biology; Bacteria; Materials science","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":[0.0004080723,0.0008666744,0.000426205,0.0002889572,0.0001803696,0.0005894267,0.0005815374,0.0006595797,0.0003052488],"category_scores_gemma":[0.0006618513,0.000235965,0.0007055128,0.000255012,0.0003320739,0.0005950442,0.0007510862,0.0006612464,0.0000663164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006031328,"about_ca_system_score_gemma":0.0005754185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003887009,"about_ca_topic_score_gemma":0.001900075,"domain_scores_codex":[0.9998515,0.00003094708,0.00001298046,0.00004354559,0.00004078793,0.00002028802],"domain_scores_gemma":[0.9997755,0.00009018892,0.00004126497,0.00003902885,0.0000359612,0.00001807305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009694292,0.0002129388,0.006109457,0.0001637064,0.0000532218,0.0001302287,0.00008520829,0.6442745,0.3261525,0.007396557,0.0001672068,0.01515744],"study_design_scores_gemma":[0.000005167792,0.0000381653,0.0007030848,0.000002906035,0.0000081965,0.000009940871,0.000006981761,0.97873,0.01969357,0.0004584907,0.0003309752,0.00001254448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7080223,0.000580703,0.2870533,0.000385454,0.00009616144,0.00008447845,0.0003428877,0.0006196502,0.002815209],"genre_scores_gemma":[0.9607089,0.0002631417,0.03847508,0.00003294427,0.00001702398,0.00005939936,0.0001152116,0.00002374146,0.0003045893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003887009,"threshold_uncertainty_score":0.007728755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008382687305972733,"score_gpt":0.205073872299846,"score_spread":0.1966911849938733,"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."}}