{"id":"W2900872346","doi":"10.1038/s41598-018-35647-2","title":"Live E. coli bacteria label-free sensing using a microcavity in-line Mach-Zehnder interferometer","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Biosensor; Interferometry; Mach–Zehnder interferometer; Refractive index; Materials science; Femtosecond; Sensitivity (control systems); Laser; Optoelectronics; Fiber optic sensor; Optics; Optical fiber; Nanotechnology; Physics; Electronic engineering","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":[0.0004263365,0.0005172944,0.0004185329,0.0003603986,0.0002128372,0.0004119254,0.001261362,0.0007654793,0.0003399393],"category_scores_gemma":[0.0004802762,0.000353685,0.0003227185,0.0001970394,0.0004487284,0.000615174,0.0004765688,0.0005498404,0.0002524636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702771,"about_ca_system_score_gemma":0.0003011028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006228969,"about_ca_topic_score_gemma":0.001134204,"domain_scores_codex":[0.9992679,0.0001146704,0.00002685648,0.0001570825,0.0003717686,0.00006178731],"domain_scores_gemma":[0.9996581,0.0001353009,0.00008795882,0.00003603896,0.00005614984,0.00002642784],"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":[0.00002601697,0.00001445058,0.0001102592,0.00002709107,0.000003782519,0.00001551025,0.00001495683,0.00008317915,0.9980178,0.00008174617,0.00001903174,0.001586187],"study_design_scores_gemma":[0.000006091615,0.00009702829,0.000520581,0.000002330331,0.0000102398,0.00008241321,0.000007527235,0.00405501,0.9946349,0.00002198509,0.0005509523,0.00001102422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8769986,0.00170179,0.1178928,0.0003699262,0.0001027598,0.0001335949,0.0001952375,0.000889646,0.001715628],"genre_scores_gemma":[0.8406471,0.0008577795,0.1559009,0.0001752029,0.00005066943,0.00009086318,0.000158485,0.00005386856,0.002065094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001261362,"threshold_uncertainty_score":0.004137695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665485709317164,"score_gpt":0.2570160043936798,"score_spread":0.2303611473005082,"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."}}