{"id":"W2083329316","doi":"10.1063/1.3062977","title":"Multimode waveguide evanescent field fluorescence microscopy: Measurement of cell-substratum separation distance","year":2009,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Waveguide; Multi-mode optical fiber; Optics; Materials science; Microscopy; Evanescent wave; Fluorescence; Fluorescence microscope; Optical microscope; Thin film; Near-field scanning optical microscope; Total internal reflection; Total internal reflection fluorescence microscope; Optoelectronics; Optical fiber; Nanotechnology; Scanning electron microscope; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001134195,0.000250823,0.0002035294,0.00002127479,0.00006943964,0.00001920534,0.0002858358,0.0001026288,0.000002683609],"category_scores_gemma":[0.000009606265,0.0002671413,0.00008972378,0.000106972,0.00008915958,0.000009535554,0.00004062374,0.000146198,0.000004914713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005300913,"about_ca_system_score_gemma":0.00004383885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009270802,"about_ca_topic_score_gemma":0.000003377467,"domain_scores_codex":[0.9986082,0.00002079536,0.0003057712,0.0004551988,0.0002918383,0.0003181413],"domain_scores_gemma":[0.9991242,0.000007261714,0.0001852193,0.000525803,0.00009702312,0.00006053405],"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":[0.0001280518,0.0001295854,0.00009404116,0.00002819915,0.00001114429,0.000001055279,0.0000567179,0.0003090387,0.9926711,0.0002808715,0.004315677,0.00197451],"study_design_scores_gemma":[0.0003164159,0.0001249399,0.0002440656,0.00003629034,0.00001561279,5.855587e-7,0.00001435794,0.00007968231,0.9978077,0.0001353316,0.0009544345,0.0002705807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.353098,0.0001505419,0.6445907,0.0002389054,0.00009302574,0.0005744038,0.00001534811,0.00005243505,0.001186614],"genre_scores_gemma":[0.9520546,0.00005194199,0.04619098,0.00144298,0.0001264608,0.00002967175,0.00006597642,0.00002252874,0.00001483488],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5989566,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008603403668320837,"score_gpt":0.2674063308583207,"score_spread":0.2588029271899999,"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."}}