{"id":"W4238734345","doi":"10.1109/iembs.2006.4397381","title":"Biochemical Signal Detection in Miniaturized Fluidic Systems by Integrated Microresonator","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Whispering-gallery wave; Resonator; Finesse; Optoelectronics; SIGNAL (programming language); Q factor; Materials science; Analyte; Wavelength; Microfluidics; Optical ring resonators; Coupling (piping); Photonics; Optics; Physics; Nanotechnology; Chemistry; Computer science","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":[0.0004161988,0.0004844082,0.00046606,0.0002246313,0.0001835693,0.0004111743,0.0006953789,0.0004442711,0.0002986715],"category_scores_gemma":[0.0006351885,0.0003933972,0.0002011273,0.0001538349,0.0004753816,0.0006011904,0.0003029697,0.0003541633,0.0001671366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004954688,"about_ca_system_score_gemma":0.0002907399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003466698,"about_ca_topic_score_gemma":0.0006233408,"domain_scores_codex":[0.9996754,0.00005553725,0.00001656748,0.00008849885,0.0001275975,0.00003641228],"domain_scores_gemma":[0.9996568,0.0001678807,0.00006650853,0.00002547701,0.00005680173,0.00002648303],"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":[0.0000460076,0.00001384625,0.000168419,0.00002612402,0.000004398405,0.00002576248,0.00002725907,0.0007805119,0.9944859,0.0002571926,0.00004504177,0.004119474],"study_design_scores_gemma":[0.00002312555,0.0002743941,0.0007698541,0.000002836675,0.00001693085,0.00009751852,0.000009695845,0.01497268,0.981589,0.0001394473,0.002085059,0.0000194244],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8637533,0.002967726,0.1303624,0.0002340696,0.0001444518,0.0001014552,0.0001366177,0.001321003,0.000979043],"genre_scores_gemma":[0.8022316,0.0009114702,0.1952399,0.00009802177,0.00005652284,0.0001089559,0.000108127,0.00004147618,0.001203831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006953789,"threshold_uncertainty_score":0.003594875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005517772515672111,"score_gpt":0.1815722344388599,"score_spread":0.1760544619231877,"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."}}