{"id":"W2981902078","doi":"10.1039/c9ay02248a","title":"Micromachined multigroove silicon ATR FT-IR internal reflection elements for chemical imaging of microfluidic devices","year":2019,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Photonic and Optical Devices","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); Saskatoon Medical Imaging; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Silicon; Reflection (computer programming); Materials science; Groove (engineering); Infrared; Total internal reflection; Optoelectronics; Attenuated total reflection; Nanotechnology; Optics; Computer science","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":[0.0003815354,0.0005001449,0.0003296696,0.0002657771,0.0001764866,0.0004039746,0.0008801218,0.0004082847,0.001979416],"category_scores_gemma":[0.0005122848,0.0005143915,0.0002450431,0.0001760582,0.000287378,0.0004700278,0.0002967055,0.000927127,0.001150344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003508111,"about_ca_system_score_gemma":0.0003360896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003958868,"about_ca_topic_score_gemma":0.001443944,"domain_scores_codex":[0.9996693,0.00001825122,0.0000191877,0.0001151203,0.0001362744,0.00004182255],"domain_scores_gemma":[0.9996425,0.0001253313,0.00008105625,0.00007091933,0.00005844306,0.00002184997],"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":[0.00002187306,0.000009024378,0.00006779841,0.00003818275,0.000002499847,0.00002485428,0.00001599709,0.0003043885,0.995066,0.0002369335,0.00009270922,0.004119745],"study_design_scores_gemma":[0.000009102098,0.0001078886,0.0007942354,0.000005618088,0.000006214051,0.0002323729,0.00001257645,0.002296234,0.9927532,0.00007480568,0.003698454,0.000009122093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6101597,0.005122036,0.3598797,0.0004404072,0.0003866307,0.0003398789,0.000899197,0.005134594,0.01763782],"genre_scores_gemma":[0.5469794,0.001204765,0.4407377,0.0001392387,0.00004885419,0.000128394,0.0004368766,0.0002985988,0.01002623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001979416,"threshold_uncertainty_score":0.006621778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833149468407825,"score_gpt":0.3556473318740773,"score_spread":0.337315837189999,"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."}}