{"id":"W4311553642","doi":"10.48550/arxiv.2212.06269","title":"Stochastic Modeling of Biofilm Formation with Bacterial Quorum Sensing","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Biofilm; Quorum sensing; Autoinducer; Pseudomonas putida; Bacteria; Pseudomonas aeruginosa; Biological system; Microbiology; Extracellular polymeric substance; Chemistry; Biochemical engineering; Biology; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005133995,0.0007492832,0.0008850309,0.0004992796,0.0005209831,0.001033608,0.001130644,0.001953137,0.0009115844],"category_scores_gemma":[0.001426107,0.0005433643,0.0007608975,0.0005806454,0.001087769,0.0008722611,0.000995828,0.000720779,0.0001491812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011087,"about_ca_system_score_gemma":0.0009602376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01168645,"about_ca_topic_score_gemma":0.003709739,"domain_scores_codex":[0.9996219,0.0001218795,0.00002217308,0.00006447411,0.0001079318,0.00006165742],"domain_scores_gemma":[0.9994007,0.0002970491,0.000120157,0.00003088273,0.00008861547,0.00006247043],"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":[0.00001375085,0.00001516922,0.0003837536,0.00001940148,0.00001181652,0.00005861074,0.00003101586,0.982913,0.002029775,0.01371993,0.00009012259,0.000713594],"study_design_scores_gemma":[0.000003086152,0.000004862849,0.00006008147,0.000001094404,0.000001645626,0.000004615632,0.000003207747,0.9980751,0.0001067868,0.001638306,0.00009883906,0.000002369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3631142,0.001732297,0.6171663,0.001318366,0.0001898831,0.0001056874,0.0004825834,0.0003093153,0.01558122],"genre_scores_gemma":[0.9758524,0.0006892259,0.01616572,0.0001010352,0.00005101583,0.0001625905,0.0001657532,0.0000370876,0.006775078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01168645,"threshold_uncertainty_score":0.02323687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03698439528471284,"score_gpt":0.1781103495147627,"score_spread":0.1411259542300499,"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."}}