{"id":"W2891512405","doi":"10.1101/421610","title":"Agent-Based Modeling Demonstrates How Local Chemotactic Behavior Can Shape Biofilm Architecture","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Biofilm; Quorum sensing; Chemotaxis; Biological system; Autoinducer; Biology; Microbiology; Molecular communication; Bacteria; Computational biology; Biochemical engineering; Nanotechnology; Computer science; Genetics; Materials science; Engineering; Computer network","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":[0.000192606,0.0005050746,0.0003990706,0.0002948823,0.0004595864,0.0009185886,0.0006909276,0.001154717,0.001513762],"category_scores_gemma":[0.0006379666,0.0003750774,0.0006149099,0.0001970723,0.0005269817,0.0005190549,0.0006220399,0.0005414797,0.0001903195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000624085,"about_ca_system_score_gemma":0.0007089603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270976,"about_ca_topic_score_gemma":0.007339817,"domain_scores_codex":[0.9999081,0.00002587332,0.000004743858,0.00001908347,0.00002291375,0.00001925625],"domain_scores_gemma":[0.9997568,0.0001155294,0.00003905586,0.00002499155,0.00003432582,0.00002931538],"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":[0.00001111339,0.00002422308,0.001160576,0.00001845521,0.00001697565,0.00006007552,0.00004598285,0.9882627,0.005168926,0.00364644,0.0001333234,0.001451183],"study_design_scores_gemma":[0.000004709472,0.000007031938,0.0001860714,0.000001876249,0.000003508947,0.000005017416,0.000006828991,0.9986727,0.0002347777,0.0006337285,0.0002402511,0.000003650049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604774,0.0004425879,0.2167415,0.0008919126,0.00009186588,0.00007726807,0.0003678633,0.0003689141,0.02054077],"genre_scores_gemma":[0.9801103,0.0002245697,0.01743831,0.00006216107,0.00001196648,0.00007040763,0.00006739546,0.00003591299,0.001979038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01270976,"threshold_uncertainty_score":0.02527159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364819489084711,"score_gpt":0.2149404939860839,"score_spread":0.2012922990952368,"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."}}