{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001785414,0.0002628161,0.0001998964,0.0001386203,0.0005034237,0.00004470626,0.000249263,0.0003035426,0.000005480921],"category_scores_gemma":[0.00002545626,0.000228525,0.0001799606,0.000256713,0.000337628,0.000006050483,0.0000230683,0.0002667235,0.0000353296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002098154,"about_ca_system_score_gemma":0.00003741568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001754478,"about_ca_topic_score_gemma":0.00005465141,"domain_scores_codex":[0.9985949,0.0001948483,0.0002645099,0.0004885771,0.0001093829,0.0003478001],"domain_scores_gemma":[0.9987144,0.00006670889,0.00006939763,0.0009270752,0.00006815117,0.0001542017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001218435,0.0002063867,0.000008138316,0.000004531023,0.0000269553,0.000001864431,0.00002590347,0.03827469,0.9476365,0.00001892169,0.00003183466,0.01364239],"study_design_scores_gemma":[0.001050376,0.0004829207,0.0003297712,0.00005948832,0.00004986476,0.00001291921,0.0001190018,0.851817,0.1450669,0.00003400452,0.0005114282,0.0004662925],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4022522,0.00005871213,0.5954442,0.001521647,0.0001123017,0.0002821774,0.0001659671,0.00008385403,0.0000789485],"genre_scores_gemma":[0.9761043,0.0002874204,0.02238563,0.0007346788,0.00001968992,0.00002871787,0.0003027201,0.00002948107,0.0001073973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8135423,"threshold_uncertainty_score":0.9318979,"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."}}