{"id":"W2979667979","doi":"10.1149/2.0042003jes","title":"Review—Nanomechanical Calorimetric Infrared Spectroscopy using Bi-Material Microfluidic Cantilevers","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Mechanical and Optical Resonators","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Analyte; Cantilever; Microfluidics; Infrared; Infrared spectroscopy; Spectroscopy; Materials science; Bending; Selectivity; Analytical Chemistry (journal); Wavelength; Chemistry; Nanotechnology; Optoelectronics; Optics; Chromatography; Composite material; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003864915,0.0002091349,0.0005151812,0.00002320402,0.00008996608,0.00003657596,0.0005938996,0.000110566,0.001185285],"category_scores_gemma":[0.00007820073,0.0001298774,0.0009691467,0.0005638056,0.00004994071,0.00009815753,0.0001597527,0.0007415009,0.00002185648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952552,"about_ca_system_score_gemma":0.0002386755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001557189,"about_ca_topic_score_gemma":3.083446e-8,"domain_scores_codex":[0.9982158,0.00007120385,0.0005971887,0.0002031052,0.0004404737,0.0004722299],"domain_scores_gemma":[0.9988719,0.0001195686,0.0003992543,0.0002543074,0.0001433774,0.0002116547],"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":[0.00004384978,0.00008202504,0.0005494903,0.0000631557,0.00012563,3.638467e-7,0.000009798411,1.651191e-7,0.9888648,0.0007392683,0.0093857,0.0001357146],"study_design_scores_gemma":[0.0005994522,0.0001221809,0.00004042817,0.0003746368,0.0001742623,0.00001453034,0.00002058449,0.0001913789,0.9758335,0.00474517,0.01767471,0.0002091761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726403,0.006357278,0.0176159,0.0008103418,0.001395107,0.0004429451,0.00001829636,0.00001713755,0.0007026495],"genre_scores_gemma":[0.9799541,0.001875892,0.01225902,0.003089328,0.00216418,0.000004626512,0.000009068573,0.00006852061,0.0005752321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01303135,"threshold_uncertainty_score":0.9997278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008424589854831863,"score_gpt":0.2434806730808539,"score_spread":0.2350560832260221,"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."}}