{"id":"W2061932947","doi":"10.1117/1.jbo.17.1.017006","title":"Silica-on-silicon waveguide integrated polydimethylsiloxane lab-on-a-chip for quantum dot fluorescence bio-detection","year":2012,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantum dot; Polydimethylsiloxane; Fluorescence; Silicon; Materials science; Lab-on-a-chip; Optoelectronics; Waveguide; Nanotechnology; Silicon chip; Chip; Optofluidics; Integrated optics; Microfluidics; Optics; Physics; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006003537,0.0002323505,0.0003452596,0.0002992715,0.00009663879,0.00002871251,0.0002714845,0.0002337514,0.00004999538],"category_scores_gemma":[0.0002456103,0.0001789073,0.0001903434,0.0004511871,0.0001078056,0.00009662949,0.00001641681,0.0005175216,0.00004840991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001735451,"about_ca_system_score_gemma":0.00005873392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002971308,"about_ca_topic_score_gemma":3.244729e-7,"domain_scores_codex":[0.9982381,0.00004261297,0.0006879842,0.0001341441,0.0004143099,0.0004828431],"domain_scores_gemma":[0.9987175,0.0002801031,0.0001671167,0.0002384775,0.0001614742,0.0004353039],"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":[0.0001091277,0.0002340002,0.00001102102,0.00003783889,0.00009852363,0.000003141671,0.00007280612,0.00001198428,0.9524221,0.001808115,0.02676964,0.01842174],"study_design_scores_gemma":[0.0008192705,0.001303465,0.0002875994,0.0001018745,0.00009565489,0.0001176283,0.0001207475,0.005577982,0.8320162,0.0003450211,0.1589307,0.0002838695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549813,0.01026174,0.03083298,0.001163915,0.001788828,0.000400371,0.00006421826,0.0001394401,0.0003671778],"genre_scores_gemma":[0.9890439,0.008407434,0.001160513,0.0001908111,0.001062747,0.00001617071,0.00001800702,0.00005144579,0.00004896323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.132161,"threshold_uncertainty_score":0.7295627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217245986737186,"score_gpt":0.2421008724958179,"score_spread":0.229928412628446,"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."}}