{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002093401,0.0001797642,0.0001295114,0.0002520096,0.0001827241,0.0005610542,0.0001699162,0.0002603147,0.0005587893],"category_scores_gemma":[0.0004063555,0.0001586435,0.0000874532,0.0001321106,0.0002806976,0.0003267948,0.000247954,0.0003352792,0.0001566532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001894237,"about_ca_system_score_gemma":0.0001615333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008337323,"about_ca_topic_score_gemma":0.001087591,"domain_scores_codex":[0.9998626,0.00001656068,0.000006097577,0.00004225391,0.00004872879,0.00002380571],"domain_scores_gemma":[0.9997779,0.00008758462,0.00005182704,0.00001238542,0.00004213147,0.0000281157],"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":[0.00000943591,0.000004215676,0.0006909223,0.00001309247,0.000003033332,0.00001944949,0.00001672326,0.0001818177,0.9977889,0.00009349279,0.00001675978,0.001162193],"study_design_scores_gemma":[0.000008956354,0.0001109781,0.05853335,0.00001251799,0.00003439269,0.0003090708,0.0001550655,0.01702317,0.9214661,0.0004532069,0.001860639,0.00003251524],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835616,0.0006604518,0.0143169,0.0001069894,0.000009675349,0.00001242226,0.0001115503,0.00007429099,0.00114603],"genre_scores_gemma":[0.9954146,0.0002039283,0.003961457,0.00003907314,0.000003741327,0.00001080905,0.00007898978,0.00001376103,0.0002735418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008337323,"threshold_uncertainty_score":0.001869321,"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."}}