{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002105335,0.0001635785,0.0001919533,0.0001445755,0.00008560362,0.00003040176,0.000589057,0.0003510524,0.000006920031],"category_scores_gemma":[0.0002712014,0.0001171678,0.00003075725,0.0002393263,0.0002007608,0.00004652005,0.0002970155,0.0003814052,0.00001026645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007557946,"about_ca_system_score_gemma":0.0000263807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006344332,"about_ca_topic_score_gemma":0.003547841,"domain_scores_codex":[0.9992787,0.00005910046,0.0002053381,0.0001839919,0.00004660243,0.0002262466],"domain_scores_gemma":[0.9983602,0.0001824041,0.00002308072,0.001299469,0.0000815792,0.00005330667],"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":[0.000005872714,0.00001931209,0.01237776,0.00001353067,0.00001445305,6.660315e-7,0.0001256321,1.501239e-7,0.9525723,0.0002675539,0.00744967,0.02715313],"study_design_scores_gemma":[0.0004029699,0.00003480142,0.1285844,0.0001962648,0.00001501604,0.00001197356,0.0001665951,0.00009361888,0.7404145,0.0003181092,0.1293965,0.0003653231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724249,0.02322444,0.000679009,0.0026308,0.0001380895,0.0002408715,0.00006413421,0.000426201,0.0001715704],"genre_scores_gemma":[0.9818828,0.01423647,0.003697532,0.0001040658,0.00001246858,0.000001933877,0.00000780755,0.00002055595,0.00003636297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2121578,"threshold_uncertainty_score":0.4777963,"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."}}