{"id":"W2964822232","doi":"10.1109/jsen.2019.2932414","title":"Optofluidic Dissolved Oxygen Sensing With Sensitivity Enhancement Through Multiple Reflections","year":2019,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Sensitivity (control systems); Fluorescence; Total internal reflection; Quenching (fluorescence); Oxygen sensor; Optoelectronics; Excitation; Optics; Oxygen; Reflection (computer programming); Chemistry; Electronic engineering; Computer science","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":[0.0004013209,0.0004168055,0.000319098,0.0002580295,0.0001328344,0.0005077164,0.0005415441,0.0004373231,0.0002819593],"category_scores_gemma":[0.0004881877,0.0004382294,0.0004458693,0.0002402717,0.0003063354,0.0006155188,0.0004917437,0.0004476029,0.0002117424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005326127,"about_ca_system_score_gemma":0.0002649781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605837,"about_ca_topic_score_gemma":0.001114082,"domain_scores_codex":[0.9995465,0.00004604229,0.00003068467,0.00009579999,0.0002309966,0.00004990656],"domain_scores_gemma":[0.9996569,0.00009073646,0.000129854,0.0000321093,0.00007345456,0.00001688549],"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":[0.00001718579,0.000007057381,0.0001396903,0.00002971268,0.000003846506,0.00001215957,0.00001831684,0.0006247481,0.9961835,0.0001668204,0.00003254355,0.002764396],"study_design_scores_gemma":[0.000007662964,0.0001191664,0.0004963381,0.000005141316,0.00001427806,0.0001093627,0.00001062447,0.01093726,0.9869032,0.00007359944,0.001303505,0.0000198977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355137,0.001680531,0.1584484,0.0002620545,0.00007056749,0.00006913676,0.0002070667,0.0005970341,0.003151483],"genre_scores_gemma":[0.8179829,0.0009038469,0.17901,0.0000868745,0.00002361715,0.00005143909,0.0001115031,0.00003403712,0.001795658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006605837,"threshold_uncertainty_score":0.003864408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02068515315812599,"score_gpt":0.2642394663768039,"score_spread":0.2435543132186779,"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."}}