{"id":"W2528637109","doi":"10.1038/ncomms12947","title":"Microfluidic cantilever detects bacteria and measures their susceptibility to antibiotics in small confined volumes","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Cantilever; Bacteria; Microfluidics; Microchannel; Materials science; Nanotechnology; Escherichia coli; Listeria monocytogenes; Biosensor; Chemistry; Biology; Biochemistry; Composite material","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":[0.000289747,0.0003755349,0.0004813369,0.000357102,0.0002144996,0.0002492655,0.000615059,0.0009079614,0.001258362],"category_scores_gemma":[0.0005698563,0.0002554137,0.0002230209,0.0001942474,0.0002624211,0.0003115483,0.0003748471,0.0003234097,0.000436455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007485,"about_ca_system_score_gemma":0.0001905421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000221966,"about_ca_topic_score_gemma":0.0006607506,"domain_scores_codex":[0.9997503,0.00002449334,0.00001745926,0.00006826987,0.0001115736,0.00002791365],"domain_scores_gemma":[0.9997461,0.0001278087,0.0000504628,0.00002038481,0.0000312311,0.00002400402],"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":[0.00001353814,0.00001035072,0.000263423,0.00003605363,0.000002527028,0.00001509219,0.000006953083,0.00003409605,0.996803,0.00005407546,0.00003813074,0.002722811],"study_design_scores_gemma":[0.00001808117,0.0004669031,0.008086289,0.00002310827,0.00002048939,0.0003408652,0.00004882573,0.00317165,0.9840418,0.0001798342,0.00357617,0.0000258491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909545,0.006729512,0.07625806,0.000792933,0.0004004273,0.0001769158,0.001004582,0.0008551124,0.004237395],"genre_scores_gemma":[0.8529395,0.004236913,0.1363615,0.0006339616,0.0001228651,0.0003706576,0.0005961431,0.00004676004,0.004691764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001258362,"threshold_uncertainty_score":0.004209697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189279403787241,"score_gpt":0.2328546157039691,"score_spread":0.2109618216660967,"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."}}