{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004484917,0.001242726,0.0009636524,0.0008824083,0.0008405221,0.001550681,0.001804969,0.003503777,0.003420021],"category_scores_gemma":[0.001444849,0.0006151532,0.001190574,0.0007878926,0.001245281,0.001604098,0.001215069,0.001122093,0.0007058813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429462,"about_ca_system_score_gemma":0.00102433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019524,"about_ca_topic_score_gemma":0.004484002,"domain_scores_codex":[0.9995703,0.00008764682,0.00002120665,0.000103964,0.0001276752,0.00008924509],"domain_scores_gemma":[0.999326,0.0002668574,0.0001272861,0.00003749795,0.0001659215,0.00007652325],"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":[0.00009446441,0.00007354995,0.001426665,0.0001597213,0.00004156103,0.0005266792,0.0002341388,0.8992763,0.01070015,0.08200003,0.001799123,0.003667636],"study_design_scores_gemma":[0.00001683146,0.0000155849,0.0001732787,0.000005614477,0.000008121593,0.00004101226,0.00002072164,0.9956942,0.0002106325,0.003171811,0.0006272712,0.00001492996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242822,0.004748352,0.6536325,0.005650128,0.000819097,0.0003172108,0.002208681,0.0005989256,0.0892031],"genre_scores_gemma":[0.918811,0.002992633,0.03127459,0.0006727731,0.000202931,0.0005667135,0.000671608,0.0001145619,0.0446931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.019524,"threshold_uncertainty_score":0.03882074,"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."}}