{"id":"W2058983615","doi":"10.1063/1.2828717","title":"Temperature measurement in microfluidic chips using photobleaching of a fluorescent thin film","year":2008,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polydimethylsiloxane; Photobleaching; Microfluidics; Materials science; Fluorescence; Fluorescence recovery after photobleaching; Thin film; Polymer; Rhodamine B; Rhodamine; Absorption (acoustics); Diffusion; Lab-on-a-chip; Temperature measurement; Optoelectronics; Microchannel; Microfluidic chip; Nanotechnology; Analytical Chemistry (journal); Optics; Chemistry; Composite material; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0001311743,0.0002260022,0.0002718802,0.00007677183,0.00009910228,0.00001057019,0.0001938777,0.00007107019,0.000009651927],"category_scores_gemma":[0.000001785531,0.0002427982,0.00007727172,0.0003617477,0.00006166028,0.00004558437,0.00002613369,0.0003367468,0.000009365472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000198698,"about_ca_system_score_gemma":0.00003807136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004523829,"about_ca_topic_score_gemma":8.460199e-7,"domain_scores_codex":[0.9988,0.00002048787,0.0003179497,0.0002329577,0.000302502,0.0003260791],"domain_scores_gemma":[0.9995425,0.00001365557,0.00005077995,0.0003172383,0.00002417787,0.00005159415],"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":[0.000009390227,0.00004998183,0.00008958163,0.00005514025,0.00005087989,0.000003308222,0.0008355848,0.006305487,0.9709545,0.0002919054,0.02126597,0.00008824578],"study_design_scores_gemma":[0.0003884329,0.000005422501,0.000523704,0.00004322061,0.00002090336,0.000006890777,0.0000551926,0.0007520901,0.9970183,0.00004227385,0.0008921985,0.0002513478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893696,0.007310419,0.00253841,0.00003994029,0.00004905951,0.0003422104,0.000007213189,0.00008012546,0.000262975],"genre_scores_gemma":[0.9948121,0.004433254,0.0002515547,0.000290832,0.00009273803,0.00004726928,0.00001919809,0.00005188235,0.000001229454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02606379,"threshold_uncertainty_score":0.9901023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01590038226649669,"score_gpt":0.1898165467675249,"score_spread":0.1739161645010282,"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."}}