{"id":"W4307139182","doi":"10.1038/s41598-022-21015-8","title":"Sub-terahertz silicon-based on-chip absorption spectroscopy using thin-film model for biological applications","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Terahertz technology and applications","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biomolecule; Terahertz radiation; Materials science; Spectrometer; Silicon; Biosensor; Terahertz spectroscopy and technology; Spectroscopy; Optoelectronics; Fabrication; Chip; Nanotechnology; Computer science; Optics; Physics; 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":[0.0004712997,0.0001483881,0.0001428994,0.0001925171,0.0008640342,0.00007325454,0.0002042893,0.00008805789,0.0000606029],"category_scores_gemma":[0.00001627151,0.0001498674,0.0001037579,0.0004446771,0.0001390971,0.00005349677,0.00004306463,0.0002194303,0.00001075417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001949816,"about_ca_system_score_gemma":0.0000783607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002087069,"about_ca_topic_score_gemma":0.000002976929,"domain_scores_codex":[0.9986108,0.00001544038,0.0003314379,0.0005606251,0.0001906497,0.0002910798],"domain_scores_gemma":[0.9989745,0.00004751125,0.00009897441,0.0007839708,0.00004175675,0.00005326409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000064589,0.00008692667,0.0002787439,0.00001103056,0.000008065163,0.000004274644,0.00004754139,0.6645752,0.3285872,0.002247581,0.002906822,0.00124013],"study_design_scores_gemma":[0.00008845263,0.00002094624,0.00005183261,0.000003200262,0.000009589714,0.00002298109,0.00002159956,0.8894094,0.05548469,0.02839582,0.02632738,0.0001640557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.576883,0.00005444941,0.420202,0.0001765512,0.0007937918,0.0008761255,0.0000427395,0.0006755923,0.0002957063],"genre_scores_gemma":[0.988457,0.000001262766,0.009313132,0.00008313066,0.00004147248,0.001710956,0.0002181634,0.00002638533,0.0001485315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4115739,"threshold_uncertainty_score":0.6645539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663867821680202,"score_gpt":0.2597704869241688,"score_spread":0.2331318087073667,"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."}}