{"id":"W4408860659","doi":"10.1109/tmbmc.2025.3552991","title":"Anisotropic Diffusion Model of Communication in 2D Biofilm","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council","keywords":"Biofilm; Anisotropy; Diffusion; Materials science; Statistical physics; Physics; Optics; Geology; Thermodynamics; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001451118,0.0001749766,0.0002476712,0.0002276984,0.0001748989,0.00001605377,0.0006975739,0.0002231029,0.00001234356],"category_scores_gemma":[0.000008259743,0.0001652615,0.0001013843,0.0004413514,0.000292662,0.00004624395,0.00003338337,0.0004465908,0.000004291027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000042415,"about_ca_system_score_gemma":0.00001799751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000294702,"about_ca_topic_score_gemma":0.0002294153,"domain_scores_codex":[0.9989243,0.0002354478,0.0004175121,0.0001790252,0.00007169793,0.0001719953],"domain_scores_gemma":[0.9981903,0.0001427578,0.00004590309,0.001506805,0.00005575614,0.00005849185],"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":[0.00006464476,0.001639545,0.0008001644,0.00006078612,0.0001138893,9.24366e-7,0.0004375466,0.2523994,0.6526428,0.004800127,0.00004226197,0.0869979],"study_design_scores_gemma":[0.0009021884,0.00004163506,0.001536197,0.0001318442,0.00002752036,0.000001241032,0.00008998605,0.9694345,0.02659545,0.0006771499,0.0003569902,0.0002052856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.128209,0.002955126,0.8663214,0.0004867066,0.00003826508,0.0003261539,0.00002662977,0.00009395675,0.001542734],"genre_scores_gemma":[0.9394648,0.01271204,0.04746937,0.0001339279,8.373817e-7,0.00011224,0.00003009982,0.00001249444,0.0000641629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.818852,"threshold_uncertainty_score":0.673917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061424236597927,"score_gpt":0.2628346760285228,"score_spread":0.2322204336625435,"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."}}