{"id":"W2051992310","doi":"10.1039/c3lc51428e","title":"A microfluidic platform for profiling biomechanical properties of bacteria","year":2014,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Petroleum Technology Research Centre; National Institutes of Health; National Science Foundation","keywords":"Bacteria; Pipette; Microfluidics; Stiffness; Bacterial cell structure; Nanotechnology; Atomic force microscopy; Materials science; Biophysics; Chemistry; Biomedical engineering; Biology; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609252,0.0005097133,0.0004002604,0.0007331364,0.0003891556,0.0003796798,0.0004437731,0.0006069258,0.001312448],"category_scores_gemma":[0.0003661566,0.0002935111,0.0002805612,0.0003558356,0.0002337063,0.0003712322,0.0004670047,0.0004918214,0.0005388468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003195212,"about_ca_system_score_gemma":0.0004478451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000358694,"about_ca_topic_score_gemma":0.0006581782,"domain_scores_codex":[0.9997341,0.00002461002,0.00002057732,0.0000822718,0.000106037,0.00003236811],"domain_scores_gemma":[0.9998123,0.00006888701,0.00003746264,0.00002165795,0.00003112475,0.00002861269],"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":[0.00002334581,0.00002198065,0.0002469526,0.00007489699,0.000006243788,0.00003167802,0.00001410528,0.0002464635,0.9882417,0.0003522642,0.0003444442,0.01039593],"study_design_scores_gemma":[0.00002945067,0.0005194591,0.005926895,0.00003613854,0.00003582087,0.0005378835,0.00002410249,0.01001566,0.9601682,0.0004281826,0.02220828,0.00006996372],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4601448,0.01158787,0.5045401,0.001314232,0.001203859,0.001226375,0.006744457,0.004882439,0.008355883],"genre_scores_gemma":[0.4952531,0.004271951,0.4900055,0.0004852698,0.0001953999,0.001408118,0.001655702,0.00006552444,0.006659428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001312448,"threshold_uncertainty_score":0.004390538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269757742791098,"score_gpt":0.2114135200435747,"score_spread":0.1844377457644649,"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."}}