{"id":"W1969612235","doi":"10.1117/12.628593","title":"MOEMS based integrated microfluidic fiber-optic waveguides for biophotonic applications","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced MEMS and NEMS Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Materials science; Attenuation; Waveguide; Optical fiber; Biosensor; Optics; Refractive index; Microfluidics; Modulation (music); Optoelectronics; Evanescent wave; Light intensity; Fluidics; Fiber optic sensor; Acoustics; Nanotechnology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001991867,0.0004231377,0.0001835495,0.0002498978,0.0002069605,0.0002762174,0.0003329625,0.0004099092,0.001132511],"category_scores_gemma":[0.0002356628,0.0002547804,0.0002569369,0.0001486181,0.000222881,0.0003631776,0.0001872162,0.0003486031,0.0003698064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003128215,"about_ca_system_score_gemma":0.0002450548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004175502,"about_ca_topic_score_gemma":0.001138614,"domain_scores_codex":[0.999912,0.000007921666,0.000004605858,0.00001909703,0.0000448127,0.00001150411],"domain_scores_gemma":[0.999898,0.00003064887,0.00002402218,0.000008190817,0.00003058046,0.000008512678],"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":[0.00002873342,0.00001774232,0.0001237641,0.00008946383,0.000008547439,0.00003500636,0.00001308426,0.0008818811,0.9907923,0.001065514,0.0001764788,0.006767572],"study_design_scores_gemma":[0.00001580437,0.000154731,0.0009652263,0.00001518808,0.0000249698,0.0001804033,0.00001250534,0.01288169,0.971984,0.0004737859,0.01327551,0.00001627025],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6046548,0.01809242,0.3656012,0.0005769163,0.000840329,0.0002247771,0.0006147635,0.001500473,0.007894289],"genre_scores_gemma":[0.7047626,0.007222747,0.2735291,0.0001862479,0.00009612844,0.0002771856,0.0004372576,0.00004812924,0.01344058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001132511,"threshold_uncertainty_score":0.00378865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009939897322281973,"score_gpt":0.225798516207938,"score_spread":0.215858618885656,"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."}}