{"id":"W3041542011","doi":"10.1039/d0nr03646c","title":"Interfacial nanomechanical heterogeneity of the <i>E. coli</i> biofilm matrix","year":2020,"lang":"en","type":"article","venue":"Nanoscale","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Toronto Public Health","funders":"Connaught Fund; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Alexander von Humboldt-Stiftung","keywords":"Nanomechanics; Biofilm; Atomic force microscopy; Materials science; Matrix (chemical analysis); Nanotechnology; Resolution (logic); High resolution; Biophysics; Composite material; Bacteria; Biology; Computer science; Remote sensing","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":[0.00005544364,0.0001047607,0.0001359505,0.000006841434,0.00005795284,0.00001171513,0.0002078299,0.0001489535,0.00002282807],"category_scores_gemma":[0.00004836613,0.00007697687,0.0001456531,0.00009220177,0.00007824769,0.000002070565,0.0002231333,0.00006919524,0.00001139742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004697664,"about_ca_system_score_gemma":0.00004063271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009721816,"about_ca_topic_score_gemma":0.00001259613,"domain_scores_codex":[0.9992725,0.00005305824,0.0001933436,0.0002266646,0.00009551649,0.0001589145],"domain_scores_gemma":[0.9995831,0.000004107512,0.00007796482,0.000221165,0.00003965682,0.00007406895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000103212,0.00002297935,0.0006586234,0.00001055486,0.00001471528,4.199055e-7,0.00001811178,0.000001863116,0.9972612,0.00005993031,0.001416833,0.0004315854],"study_design_scores_gemma":[0.0002687656,0.0001839853,0.0007304397,0.000007693612,0.00001070796,0.000003912344,0.00001106266,0.00002143034,0.951387,0.0000036842,0.04728147,0.00008984758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978999,0.0001232109,0.0001049839,0.001052307,0.000391048,0.0001272503,0.00005760475,0.000009529235,0.000234102],"genre_scores_gemma":[0.9982588,0.00001947337,0.0002567225,0.00107145,0.0002732842,0.000001859554,0.00001371576,0.00001288851,0.00009185977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04587417,"threshold_uncertainty_score":0.3139026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433785429591442,"score_gpt":0.2450097279664391,"score_spread":0.2306718736705246,"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."}}