{"id":"W2901970165","doi":"10.1364/aop.10.000843","title":"Toward real-time terahertz imaging","year":2018,"lang":"en","type":"article","venue":"Advances in Optics and Photonics","topic":"Terahertz technology and applications","field":"Engineering","cited_by":453,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Terahertz radiation; Computer science; Context (archaeology); Optics; Detector; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004952861,0.00008231422,0.00008722841,0.00004322666,0.00004307673,0.00001466456,0.00009594606,0.00004793502,0.00003592679],"category_scores_gemma":[0.000006137383,0.00008459754,0.0000111998,0.0001100088,0.0001096983,0.0001203517,0.00002673599,0.0001031698,0.00002813344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001776547,"about_ca_system_score_gemma":0.00000487439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004236623,"about_ca_topic_score_gemma":0.00001956938,"domain_scores_codex":[0.9995642,0.000002901692,0.0001119358,0.0001159889,0.00003338134,0.0001715917],"domain_scores_gemma":[0.9997625,0.0000283952,0.00001305148,0.0001531914,0.00001514483,0.00002768013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001861051,0.00007732205,0.006875379,0.0001115349,0.0000305177,0.00002578822,0.001648911,0.0009359761,0.0315922,0.06811008,0.0006351481,0.8899385],"study_design_scores_gemma":[0.0003089606,0.00003756747,0.0006163495,0.00004014902,0.000008623673,0.00002364417,0.00009130138,0.3272213,0.01013749,0.02153772,0.639686,0.0002908354],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8593577,0.006538415,0.004529473,0.0003699348,0.0004147104,0.0002773938,0.00002250495,0.0007643845,0.1277255],"genre_scores_gemma":[0.9692631,0.009392025,0.02113549,0.00006148737,0.00003178816,0.00002543976,0.000004507879,0.00001819973,0.00006798376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8896477,"threshold_uncertainty_score":0.3449787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004690808389910742,"score_gpt":0.2354900396808181,"score_spread":0.2307992312909073,"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."}}