{"id":"W4383200195","doi":"10.1109/tmbmc.2023.3292321","title":"A Stochastic Biofilm Disruption Model Based on Quorum Sensing Mimickers","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biofilm; Quorum sensing; Pseudomonas aeruginosa; Randomness; Biological system; Computer science; Biochemical engineering; Chemistry; Microbiology; Bacteria; Biology; Mathematics; Engineering; Genetics","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":[0.0003487364,0.0006882961,0.0008210689,0.0004306076,0.0005147844,0.000770577,0.001308697,0.001587838,0.001005731],"category_scores_gemma":[0.0008088266,0.0004215836,0.0009242046,0.0003227382,0.0008708892,0.001053845,0.0007596847,0.0007565006,0.0001539305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135477,"about_ca_system_score_gemma":0.0008114061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009794793,"about_ca_topic_score_gemma":0.003007194,"domain_scores_codex":[0.9996681,0.00007032764,0.00001914158,0.00009366745,0.00009162889,0.00005702774],"domain_scores_gemma":[0.9996308,0.0001466496,0.0001003522,0.00002200083,0.00006290112,0.00003727106],"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":[0.00002484895,0.00001967878,0.0004407546,0.00002312138,0.00001422433,0.0001057535,0.00003867991,0.9818022,0.006818141,0.009646454,0.00007425802,0.0009919504],"study_design_scores_gemma":[0.000004070775,0.00001277562,0.00007887751,9.551608e-7,0.00000372739,0.000008659444,0.000003692934,0.998747,0.0003303661,0.0007174041,0.00008851149,0.000003923198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4587566,0.0007997418,0.525129,0.0007769925,0.0001279127,0.0001373217,0.0003912652,0.0003405377,0.01354059],"genre_scores_gemma":[0.9847347,0.0003212532,0.009458997,0.00006443049,0.00001451021,0.0001214909,0.0000882557,0.00001801635,0.005178333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009794793,"threshold_uncertainty_score":0.01947558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284872712620093,"score_gpt":0.2889808791793319,"score_spread":0.246132152053131,"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."}}