{"id":"W4402215585","doi":"10.1109/jsen.2024.3442553","title":"Compact Poly/Monochromatic Colorimetric Sensing System With Integrated Microfluidic Sampler","year":2024,"lang":"en","type":"article","venue":"IEEE Sensors Journal","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Centre hospitalier universitaire de Québec; Université Laval","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Monochromatic color; Optofluidics; Materials science; Colorimetry; Optoelectronics; Nanotechnology; Optics; Chromatography; Chemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008967074,0.000844516,0.001035307,0.000726954,0.0005527913,0.001103249,0.00234192,0.0009149915,0.001977074],"category_scores_gemma":[0.00069459,0.0007328482,0.0004196479,0.0006514548,0.0003889094,0.001075337,0.001281523,0.0005310602,0.001487502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008628413,"about_ca_system_score_gemma":0.001087601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005794954,"about_ca_topic_score_gemma":0.0009567387,"domain_scores_codex":[0.9981754,0.0001028072,0.0001160993,0.0007378851,0.0007706477,0.00009724931],"domain_scores_gemma":[0.999534,0.00008296627,0.0001151748,0.00007788624,0.0001325614,0.00005731295],"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":[0.0002330891,0.0001584102,0.0009321241,0.0004089983,0.00003909758,0.0001380411,0.00006440406,0.001376205,0.9405744,0.002865561,0.003064713,0.05014482],"study_design_scores_gemma":[0.000100437,0.0006762621,0.00279052,0.00003349664,0.0001035097,0.001255379,0.00002344389,0.04806076,0.9082681,0.0008065028,0.03772502,0.0001565012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1259342,0.00595257,0.8448255,0.000681077,0.0009585051,0.001075334,0.002683456,0.01129249,0.006596892],"genre_scores_gemma":[0.2934839,0.002032287,0.6894081,0.00102854,0.0005045561,0.001258694,0.001475821,0.000208486,0.01059953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00234192,"threshold_uncertainty_score":0.006614029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01764678558513618,"score_gpt":0.2404435859941215,"score_spread":0.2227968004089853,"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."}}